diff --git a/.env b/.env
new file mode 100644
index 0000000000000000000000000000000000000000..78492fcffa5d710cdfefa3f26b46bc0da3483813
--- /dev/null
+++ b/.env
@@ -0,0 +1,3 @@
+API_URL=http://localhost:8000
+# Change this to your deployed API URL in production
+# API_URL=https://your-api-url.onrender.com 
\ No newline at end of file
diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..89ac25a0250244001e51a75bd5c27bafada90e92 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,35 +1,38 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db filter=lfs diff=lfs merge=lfs -text
+*.exe filter=lfs diff=lfs merge=lfs -text
+*.pyc filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..abba8ef3e2dd0c057491ff78913f5530b9eeafe6
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,55 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual Environment
+venv/
+ENV/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Logs
+*.log
+
+# Local development
+.env
+.env.local
+
+# Database
+*.db
+
+# Model files
+models/
+*.joblib
+*.pkl
+*.h5
+*.model
+
+# Git LFS
+.gitattributes 
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..1681e5b00179e746b29f44717aa9d26d09a7d07c
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,14 @@
+FROM python:3.10-slim
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+COPY ./src /code/src
+COPY ./models /code/models
+COPY ./data /code/data
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+EXPOSE 7860
+
+CMD ["streamlit", "run", "src/frontend/app.py", "--server.address", "0.0.0.0", "--server.port", "7860"]
\ No newline at end of file
diff --git a/README.md b/README.md
index 010840f32c77a43c09d2d134db53d9f3bf60e5d5..274e737f1080138d4f7cb0f13b2b538181d54108 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,74 @@
----
-title: Synthack SyntaxSquad
-emoji: 🚀
-colorFrom: yellow
-colorTo: purple
-sdk: streamlit
-sdk_version: 1.44.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: AI Prediction Dashboard
+emoji: 🎯
+colorFrom: blue
+colorTo: indigo
+sdk: streamlit
+sdk_version: 1.32.0
+app_file: src/frontend/app.py
+pinned: false
+---
+
+# AI Prediction Dashboard
+
+A comprehensive AI-powered prediction dashboard that provides insights into:
+- Loan Approval Predictions
+- Employee Attrition Analysis
+- Healthcare Risk Assessment (Diabetes and Liver Disease)
+
+## Features
+- Interactive prediction interfaces
+- Detailed explanations and visualizations
+- Real-time risk assessment
+- Personalized recommendations
+
+## How to Use
+1. Select a prediction model from the dashboard
+2. Input the required information
+3. Get instant predictions with detailed analysis
+4. View personalized recommendations
+
+## Technical Details
+- Built with Streamlit
+- Powered by machine learning models
+- Real-time API integration
+- Interactive visualizations using Plotly
+
+## Technologies
+
+- Python
+- Streamlit
+- FastAPI
+- Scikit-learn
+- Pandas
+- NumPy
+- Plotly
+
+## Setup
+
+1. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+2. Run the api:
+```bash
+cd src/api
+python -m uvicorn main:app --reload
+```
+
+3. Run the application:
+```bash
+cd src/frontend
+streamlit run app.py
+```
+
+## Models
+
+The system includes pre-trained models for:
+- Loan approval prediction
+- Employee attrition prediction
+- Healthcare predictions (diabetes and liver disease)
+
+## Contributors
+
+- Team Syntax Squad
diff --git a/data/HR-Employee-Attrition.csv b/data/HR-Employee-Attrition.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b8531237e39eccb4f3c87ee840c3dfbb6cdbce3b
--- /dev/null
+++ b/data/HR-Employee-Attrition.csv
@@ -0,0 +1,1471 @@
+﻿Age,Attrition,BusinessTravel,DailyRate,Department,DistanceFromHome,Education,EducationField,EmployeeCount,EmployeeNumber,EnvironmentSatisfaction,Gender,HourlyRate,JobInvolvement,JobLevel,JobRole,JobSatisfaction,MaritalStatus,MonthlyIncome,MonthlyRate,NumCompaniesWorked,Over18,OverTime,PercentSalaryHike,PerformanceRating,RelationshipSatisfaction,StandardHours,StockOptionLevel,TotalWorkingYears,TrainingTimesLastYear,WorkLifeBalance,YearsAtCompany,YearsInCurrentRole,YearsSinceLastPromotion,YearsWithCurrManager
+41,Yes,Travel_Rarely,1102,Sales,1,2,Life Sciences,1,1,2,Female,94,3,2,Sales Executive,4,Single,5993,19479,8,Y,Yes,11,3,1,80,0,8,0,1,6,4,0,5
+49,No,Travel_Frequently,279,Research & Development,8,1,Life Sciences,1,2,3,Male,61,2,2,Research Scientist,2,Married,5130,24907,1,Y,No,23,4,4,80,1,10,3,3,10,7,1,7
+37,Yes,Travel_Rarely,1373,Research & Development,2,2,Other,1,4,4,Male,92,2,1,Laboratory Technician,3,Single,2090,2396,6,Y,Yes,15,3,2,80,0,7,3,3,0,0,0,0
+33,No,Travel_Frequently,1392,Research & Development,3,4,Life Sciences,1,5,4,Female,56,3,1,Research Scientist,3,Married,2909,23159,1,Y,Yes,11,3,3,80,0,8,3,3,8,7,3,0
+27,No,Travel_Rarely,591,Research & Development,2,1,Medical,1,7,1,Male,40,3,1,Laboratory Technician,2,Married,3468,16632,9,Y,No,12,3,4,80,1,6,3,3,2,2,2,2
+32,No,Travel_Frequently,1005,Research & Development,2,2,Life Sciences,1,8,4,Male,79,3,1,Laboratory Technician,4,Single,3068,11864,0,Y,No,13,3,3,80,0,8,2,2,7,7,3,6
+59,No,Travel_Rarely,1324,Research & Development,3,3,Medical,1,10,3,Female,81,4,1,Laboratory Technician,1,Married,2670,9964,4,Y,Yes,20,4,1,80,3,12,3,2,1,0,0,0
+30,No,Travel_Rarely,1358,Research & Development,24,1,Life Sciences,1,11,4,Male,67,3,1,Laboratory Technician,3,Divorced,2693,13335,1,Y,No,22,4,2,80,1,1,2,3,1,0,0,0
+38,No,Travel_Frequently,216,Research & Development,23,3,Life Sciences,1,12,4,Male,44,2,3,Manufacturing Director,3,Single,9526,8787,0,Y,No,21,4,2,80,0,10,2,3,9,7,1,8
+36,No,Travel_Rarely,1299,Research & Development,27,3,Medical,1,13,3,Male,94,3,2,Healthcare Representative,3,Married,5237,16577,6,Y,No,13,3,2,80,2,17,3,2,7,7,7,7
+35,No,Travel_Rarely,809,Research & Development,16,3,Medical,1,14,1,Male,84,4,1,Laboratory Technician,2,Married,2426,16479,0,Y,No,13,3,3,80,1,6,5,3,5,4,0,3
+29,No,Travel_Rarely,153,Research & Development,15,2,Life Sciences,1,15,4,Female,49,2,2,Laboratory Technician,3,Single,4193,12682,0,Y,Yes,12,3,4,80,0,10,3,3,9,5,0,8
+31,No,Travel_Rarely,670,Research & Development,26,1,Life Sciences,1,16,1,Male,31,3,1,Research Scientist,3,Divorced,2911,15170,1,Y,No,17,3,4,80,1,5,1,2,5,2,4,3
+34,No,Travel_Rarely,1346,Research & Development,19,2,Medical,1,18,2,Male,93,3,1,Laboratory Technician,4,Divorced,2661,8758,0,Y,No,11,3,3,80,1,3,2,3,2,2,1,2
+28,Yes,Travel_Rarely,103,Research & Development,24,3,Life Sciences,1,19,3,Male,50,2,1,Laboratory Technician,3,Single,2028,12947,5,Y,Yes,14,3,2,80,0,6,4,3,4,2,0,3
+29,No,Travel_Rarely,1389,Research & Development,21,4,Life Sciences,1,20,2,Female,51,4,3,Manufacturing Director,1,Divorced,9980,10195,1,Y,No,11,3,3,80,1,10,1,3,10,9,8,8
+32,No,Travel_Rarely,334,Research & Development,5,2,Life Sciences,1,21,1,Male,80,4,1,Research Scientist,2,Divorced,3298,15053,0,Y,Yes,12,3,4,80,2,7,5,2,6,2,0,5
+22,No,Non-Travel,1123,Research & Development,16,2,Medical,1,22,4,Male,96,4,1,Laboratory Technician,4,Divorced,2935,7324,1,Y,Yes,13,3,2,80,2,1,2,2,1,0,0,0
+53,No,Travel_Rarely,1219,Sales,2,4,Life Sciences,1,23,1,Female,78,2,4,Manager,4,Married,15427,22021,2,Y,No,16,3,3,80,0,31,3,3,25,8,3,7
+38,No,Travel_Rarely,371,Research & Development,2,3,Life Sciences,1,24,4,Male,45,3,1,Research Scientist,4,Single,3944,4306,5,Y,Yes,11,3,3,80,0,6,3,3,3,2,1,2
+24,No,Non-Travel,673,Research & Development,11,2,Other,1,26,1,Female,96,4,2,Manufacturing Director,3,Divorced,4011,8232,0,Y,No,18,3,4,80,1,5,5,2,4,2,1,3
+36,Yes,Travel_Rarely,1218,Sales,9,4,Life Sciences,1,27,3,Male,82,2,1,Sales Representative,1,Single,3407,6986,7,Y,No,23,4,2,80,0,10,4,3,5,3,0,3
+34,No,Travel_Rarely,419,Research & Development,7,4,Life Sciences,1,28,1,Female,53,3,3,Research Director,2,Single,11994,21293,0,Y,No,11,3,3,80,0,13,4,3,12,6,2,11
+21,No,Travel_Rarely,391,Research & Development,15,2,Life Sciences,1,30,3,Male,96,3,1,Research Scientist,4,Single,1232,19281,1,Y,No,14,3,4,80,0,0,6,3,0,0,0,0
+34,Yes,Travel_Rarely,699,Research & Development,6,1,Medical,1,31,2,Male,83,3,1,Research Scientist,1,Single,2960,17102,2,Y,No,11,3,3,80,0,8,2,3,4,2,1,3
+53,No,Travel_Rarely,1282,Research & Development,5,3,Other,1,32,3,Female,58,3,5,Manager,3,Divorced,19094,10735,4,Y,No,11,3,4,80,1,26,3,2,14,13,4,8
+32,Yes,Travel_Frequently,1125,Research & Development,16,1,Life Sciences,1,33,2,Female,72,1,1,Research Scientist,1,Single,3919,4681,1,Y,Yes,22,4,2,80,0,10,5,3,10,2,6,7
+42,No,Travel_Rarely,691,Sales,8,4,Marketing,1,35,3,Male,48,3,2,Sales Executive,2,Married,6825,21173,0,Y,No,11,3,4,80,1,10,2,3,9,7,4,2
+44,No,Travel_Rarely,477,Research & Development,7,4,Medical,1,36,1,Female,42,2,3,Healthcare Representative,4,Married,10248,2094,3,Y,No,14,3,4,80,1,24,4,3,22,6,5,17
+46,No,Travel_Rarely,705,Sales,2,4,Marketing,1,38,2,Female,83,3,5,Manager,1,Single,18947,22822,3,Y,No,12,3,4,80,0,22,2,2,2,2,2,1
+33,No,Travel_Rarely,924,Research & Development,2,3,Medical,1,39,3,Male,78,3,1,Laboratory Technician,4,Single,2496,6670,4,Y,No,11,3,4,80,0,7,3,3,1,1,0,0
+44,No,Travel_Rarely,1459,Research & Development,10,4,Other,1,40,4,Male,41,3,2,Healthcare Representative,4,Married,6465,19121,2,Y,Yes,13,3,4,80,0,9,5,4,4,2,1,3
+30,No,Travel_Rarely,125,Research & Development,9,2,Medical,1,41,4,Male,83,2,1,Laboratory Technician,3,Single,2206,16117,1,Y,No,13,3,1,80,0,10,5,3,10,0,1,8
+39,Yes,Travel_Rarely,895,Sales,5,3,Technical Degree,1,42,4,Male,56,3,2,Sales Representative,4,Married,2086,3335,3,Y,No,14,3,3,80,1,19,6,4,1,0,0,0
+24,Yes,Travel_Rarely,813,Research & Development,1,3,Medical,1,45,2,Male,61,3,1,Research Scientist,4,Married,2293,3020,2,Y,Yes,16,3,1,80,1,6,2,2,2,0,2,0
+43,No,Travel_Rarely,1273,Research & Development,2,2,Medical,1,46,4,Female,72,4,1,Research Scientist,3,Divorced,2645,21923,1,Y,No,12,3,4,80,2,6,3,2,5,3,1,4
+50,Yes,Travel_Rarely,869,Sales,3,2,Marketing,1,47,1,Male,86,2,1,Sales Representative,3,Married,2683,3810,1,Y,Yes,14,3,3,80,0,3,2,3,3,2,0,2
+35,No,Travel_Rarely,890,Sales,2,3,Marketing,1,49,4,Female,97,3,1,Sales Representative,4,Married,2014,9687,1,Y,No,13,3,1,80,0,2,3,3,2,2,2,2
+36,No,Travel_Rarely,852,Research & Development,5,4,Life Sciences,1,51,2,Female,82,2,1,Research Scientist,1,Married,3419,13072,9,Y,Yes,14,3,4,80,1,6,3,4,1,1,0,0
+33,No,Travel_Frequently,1141,Sales,1,3,Life Sciences,1,52,3,Female,42,4,2,Sales Executive,1,Married,5376,3193,2,Y,No,19,3,1,80,2,10,3,3,5,3,1,3
+35,No,Travel_Rarely,464,Research & Development,4,2,Other,1,53,3,Male,75,3,1,Laboratory Technician,4,Divorced,1951,10910,1,Y,No,12,3,3,80,1,1,3,3,1,0,0,0
+27,No,Travel_Rarely,1240,Research & Development,2,4,Life Sciences,1,54,4,Female,33,3,1,Laboratory Technician,1,Divorced,2341,19715,1,Y,No,13,3,4,80,1,1,6,3,1,0,0,0
+26,Yes,Travel_Rarely,1357,Research & Development,25,3,Life Sciences,1,55,1,Male,48,1,1,Laboratory Technician,3,Single,2293,10558,1,Y,No,12,3,3,80,0,1,2,2,1,0,0,1
+27,No,Travel_Frequently,994,Sales,8,3,Life Sciences,1,56,4,Male,37,3,3,Sales Executive,3,Single,8726,2975,1,Y,No,15,3,4,80,0,9,0,3,9,8,1,7
+30,No,Travel_Frequently,721,Research & Development,1,2,Medical,1,57,3,Female,58,3,2,Laboratory Technician,4,Single,4011,10781,1,Y,No,23,4,4,80,0,12,2,3,12,8,3,7
+41,Yes,Travel_Rarely,1360,Research & Development,12,3,Technical Degree,1,58,2,Female,49,3,5,Research Director,3,Married,19545,16280,1,Y,No,12,3,4,80,0,23,0,3,22,15,15,8
+34,No,Non-Travel,1065,Sales,23,4,Marketing,1,60,2,Male,72,3,2,Sales Executive,3,Single,4568,10034,0,Y,No,20,4,3,80,0,10,2,3,9,5,8,7
+37,No,Travel_Rarely,408,Research & Development,19,2,Life Sciences,1,61,2,Male,73,3,1,Research Scientist,2,Married,3022,10227,4,Y,No,21,4,1,80,0,8,1,3,1,0,0,0
+46,No,Travel_Frequently,1211,Sales,5,4,Marketing,1,62,1,Male,98,3,2,Sales Executive,4,Single,5772,20445,4,Y,Yes,21,4,3,80,0,14,4,3,9,6,0,8
+35,No,Travel_Rarely,1229,Research & Development,8,1,Life Sciences,1,63,4,Male,36,4,1,Laboratory Technician,4,Married,2269,4892,1,Y,No,19,3,4,80,0,1,2,3,1,0,0,1
+48,Yes,Travel_Rarely,626,Research & Development,1,2,Life Sciences,1,64,1,Male,98,2,3,Laboratory Technician,3,Single,5381,19294,9,Y,Yes,13,3,4,80,0,23,2,3,1,0,0,0
+28,Yes,Travel_Rarely,1434,Research & Development,5,4,Technical Degree,1,65,3,Male,50,3,1,Laboratory Technician,3,Single,3441,11179,1,Y,Yes,13,3,3,80,0,2,3,2,2,2,2,2
+44,No,Travel_Rarely,1488,Sales,1,5,Marketing,1,68,2,Female,75,3,2,Sales Executive,1,Divorced,5454,4009,5,Y,Yes,21,4,3,80,1,9,2,2,4,3,1,3
+35,No,Non-Travel,1097,Research & Development,11,2,Medical,1,70,3,Male,79,2,3,Healthcare Representative,1,Married,9884,8302,2,Y,Yes,13,3,3,80,1,10,3,3,4,0,2,3
+26,No,Travel_Rarely,1443,Sales,23,3,Marketing,1,72,3,Female,47,2,2,Sales Executive,4,Married,4157,21436,7,Y,Yes,19,3,3,80,1,5,2,2,2,2,0,0
+33,No,Travel_Frequently,515,Research & Development,1,2,Life Sciences,1,73,1,Female,98,3,3,Research Director,4,Single,13458,15146,1,Y,Yes,12,3,3,80,0,15,1,3,15,14,8,12
+35,No,Travel_Frequently,853,Sales,18,5,Life Sciences,1,74,2,Male,71,3,3,Sales Executive,1,Married,9069,11031,1,Y,No,22,4,4,80,1,9,3,2,9,8,1,8
+35,No,Travel_Rarely,1142,Research & Development,23,4,Medical,1,75,3,Female,30,3,1,Laboratory Technician,1,Married,4014,16002,3,Y,Yes,15,3,3,80,1,4,3,3,2,2,2,2
+31,No,Travel_Rarely,655,Research & Development,7,4,Life Sciences,1,76,4,Male,48,3,2,Laboratory Technician,4,Divorced,5915,9528,3,Y,No,22,4,4,80,1,10,3,2,7,7,1,7
+37,No,Travel_Rarely,1115,Research & Development,1,4,Life Sciences,1,77,1,Male,51,2,2,Manufacturing Director,3,Divorced,5993,2689,1,Y,No,18,3,3,80,1,7,2,4,7,5,0,7
+32,No,Travel_Rarely,427,Research & Development,1,3,Medical,1,78,1,Male,33,3,2,Manufacturing Director,4,Married,6162,10877,1,Y,Yes,22,4,2,80,1,9,3,3,9,8,7,8
+38,No,Travel_Frequently,653,Research & Development,29,5,Life Sciences,1,79,4,Female,50,3,2,Laboratory Technician,4,Single,2406,5456,1,Y,No,11,3,4,80,0,10,2,3,10,3,9,9
+50,No,Travel_Rarely,989,Research & Development,7,2,Medical,1,80,2,Female,43,2,5,Research Director,3,Divorced,18740,16701,5,Y,Yes,12,3,4,80,1,29,2,2,27,3,13,8
+59,No,Travel_Rarely,1435,Sales,25,3,Life Sciences,1,81,1,Female,99,3,3,Sales Executive,1,Single,7637,2354,7,Y,No,11,3,4,80,0,28,3,2,21,16,7,9
+36,No,Travel_Rarely,1223,Research & Development,8,3,Technical Degree,1,83,3,Female,59,3,3,Healthcare Representative,3,Divorced,10096,8202,1,Y,No,13,3,2,80,3,17,2,3,17,14,12,8
+55,No,Travel_Rarely,836,Research & Development,8,3,Medical,1,84,4,Female,33,3,4,Manager,3,Divorced,14756,19730,2,Y,Yes,14,3,3,80,3,21,2,3,5,0,0,2
+36,No,Travel_Frequently,1195,Research & Development,11,3,Life Sciences,1,85,2,Male,95,2,2,Manufacturing Director,2,Single,6499,22656,1,Y,No,13,3,3,80,0,6,3,3,6,5,0,3
+45,No,Travel_Rarely,1339,Research & Development,7,3,Life Sciences,1,86,2,Male,59,3,3,Research Scientist,1,Divorced,9724,18787,2,Y,No,17,3,3,80,1,25,2,3,1,0,0,0
+35,No,Travel_Frequently,664,Research & Development,1,3,Medical,1,88,2,Male,79,3,1,Research Scientist,1,Married,2194,5868,4,Y,No,13,3,4,80,1,5,2,2,3,2,1,2
+36,Yes,Travel_Rarely,318,Research & Development,9,3,Medical,1,90,4,Male,79,2,1,Research Scientist,3,Married,3388,21777,0,Y,Yes,17,3,1,80,1,2,0,2,1,0,0,0
+59,No,Travel_Frequently,1225,Sales,1,1,Life Sciences,1,91,1,Female,57,2,2,Sales Executive,3,Single,5473,24668,7,Y,No,11,3,4,80,0,20,2,2,4,3,1,3
+29,No,Travel_Rarely,1328,Research & Development,2,3,Life Sciences,1,94,3,Male,76,3,1,Research Scientist,2,Married,2703,4956,0,Y,No,23,4,4,80,1,6,3,3,5,4,0,4
+31,No,Travel_Rarely,1082,Research & Development,1,4,Medical,1,95,3,Male,87,3,1,Research Scientist,2,Single,2501,18775,1,Y,No,17,3,2,80,0,1,4,3,1,1,1,0
+32,No,Travel_Rarely,548,Research & Development,1,3,Life Sciences,1,96,2,Male,66,3,2,Research Scientist,2,Married,6220,7346,1,Y,No,17,3,2,80,2,10,3,3,10,4,0,9
+36,No,Travel_Rarely,132,Research & Development,6,3,Life Sciences,1,97,2,Female,55,4,1,Laboratory Technician,4,Married,3038,22002,3,Y,No,12,3,2,80,0,5,3,3,1,0,0,0
+31,No,Travel_Rarely,746,Research & Development,8,4,Life Sciences,1,98,3,Female,61,3,2,Manufacturing Director,4,Single,4424,20682,1,Y,No,23,4,4,80,0,11,2,3,11,7,1,8
+35,No,Travel_Rarely,776,Sales,1,4,Marketing,1,100,3,Male,32,2,2,Sales Executive,1,Single,4312,23016,0,Y,No,14,3,2,80,0,16,2,3,15,13,2,8
+45,No,Travel_Rarely,193,Research & Development,6,4,Other,1,101,4,Male,52,3,3,Research Director,1,Married,13245,15067,4,Y,Yes,14,3,2,80,0,17,3,4,0,0,0,0
+37,No,Travel_Rarely,397,Research & Development,7,4,Medical,1,102,1,Male,30,3,3,Research Director,3,Single,13664,25258,4,Y,No,13,3,1,80,0,16,3,4,5,2,0,2
+46,No,Travel_Rarely,945,Human Resources,5,2,Medical,1,103,2,Male,80,3,2,Human Resources,2,Divorced,5021,10425,8,Y,Yes,22,4,4,80,1,16,2,3,4,2,0,2
+30,No,Travel_Rarely,852,Research & Development,1,1,Life Sciences,1,104,4,Male,55,2,2,Laboratory Technician,4,Married,5126,15998,1,Y,Yes,12,3,3,80,2,10,1,2,10,8,3,0
+35,No,Travel_Rarely,1214,Research & Development,1,3,Medical,1,105,2,Male,30,2,1,Research Scientist,3,Single,2859,26278,1,Y,No,18,3,1,80,0,6,3,3,6,4,0,4
+55,No,Travel_Rarely,111,Sales,1,2,Life Sciences,1,106,1,Male,70,3,3,Sales Executive,4,Married,10239,18092,3,Y,No,14,3,4,80,1,24,4,3,1,0,1,0
+38,No,Non-Travel,573,Research & Development,6,3,Medical,1,107,2,Female,79,1,2,Research Scientist,4,Divorced,5329,15717,7,Y,Yes,12,3,4,80,3,17,3,3,13,11,1,9
+34,No,Travel_Rarely,1153,Research & Development,1,2,Medical,1,110,1,Male,94,3,2,Manufacturing Director,2,Married,4325,17736,1,Y,No,15,3,3,80,0,5,2,3,5,2,1,3
+56,No,Travel_Rarely,1400,Research & Development,7,3,Life Sciences,1,112,4,Male,49,1,3,Manufacturing Director,4,Single,7260,21698,4,Y,No,11,3,1,80,0,37,3,2,6,4,0,2
+23,No,Travel_Rarely,541,Sales,2,1,Technical Degree,1,113,3,Male,62,3,1,Sales Representative,1,Divorced,2322,9518,3,Y,No,13,3,3,80,1,3,3,3,0,0,0,0
+51,No,Travel_Rarely,432,Research & Development,9,4,Life Sciences,1,116,4,Male,96,3,1,Laboratory Technician,4,Married,2075,18725,3,Y,No,23,4,2,80,2,10,4,3,4,2,0,3
+30,No,Travel_Rarely,288,Research & Development,2,3,Life Sciences,1,117,3,Male,99,2,2,Healthcare Representative,4,Married,4152,15830,1,Y,No,19,3,1,80,3,11,3,3,11,10,10,8
+46,Yes,Travel_Rarely,669,Sales,9,2,Medical,1,118,3,Male,64,2,3,Sales Executive,4,Single,9619,13596,1,Y,No,16,3,4,80,0,9,3,3,9,8,4,7
+40,No,Travel_Frequently,530,Research & Development,1,4,Life Sciences,1,119,3,Male,78,2,4,Healthcare Representative,2,Married,13503,14115,1,Y,No,22,4,4,80,1,22,3,2,22,3,11,11
+51,No,Travel_Rarely,632,Sales,21,4,Marketing,1,120,3,Male,71,3,2,Sales Executive,4,Single,5441,8423,0,Y,Yes,22,4,4,80,0,11,2,1,10,7,1,0
+30,No,Travel_Rarely,1334,Sales,4,2,Medical,1,121,3,Female,63,2,2,Sales Executive,2,Divorced,5209,19760,1,Y,Yes,12,3,2,80,3,11,4,2,11,8,2,7
+46,No,Travel_Frequently,638,Research & Development,1,3,Medical,1,124,3,Male,40,2,3,Healthcare Representative,1,Married,10673,3142,2,Y,Yes,13,3,3,80,1,21,5,2,10,9,9,5
+32,No,Travel_Rarely,1093,Sales,6,4,Medical,1,125,2,Male,87,3,2,Sales Executive,3,Single,5010,24301,1,Y,No,16,3,1,80,0,12,0,3,11,8,5,7
+54,No,Travel_Rarely,1217,Research & Development,2,4,Technical Degree,1,126,1,Female,60,3,3,Research Director,3,Married,13549,24001,9,Y,No,12,3,1,80,1,16,5,1,4,3,0,3
+24,No,Travel_Rarely,1353,Sales,3,2,Other,1,128,1,Female,33,3,2,Sales Executive,3,Married,4999,17519,0,Y,No,21,4,1,80,1,4,2,2,3,2,0,2
+28,No,Non-Travel,120,Sales,4,3,Medical,1,129,2,Male,43,3,2,Sales Executive,3,Married,4221,8863,1,Y,No,15,3,2,80,0,5,3,4,5,4,0,4
+58,No,Travel_Rarely,682,Sales,10,4,Medical,1,131,4,Male,37,3,4,Sales Executive,3,Single,13872,24409,0,Y,No,13,3,3,80,0,38,1,2,37,10,1,8
+44,No,Non-Travel,489,Research & Development,23,3,Medical,1,132,2,Male,67,3,2,Laboratory Technician,2,Married,2042,25043,4,Y,No,12,3,3,80,1,17,3,4,3,2,1,2
+37,Yes,Travel_Rarely,807,Human Resources,6,4,Human Resources,1,133,3,Male,63,3,1,Human Resources,1,Divorced,2073,23648,4,Y,Yes,22,4,4,80,0,7,3,3,3,2,0,2
+32,No,Travel_Rarely,827,Research & Development,1,1,Life Sciences,1,134,4,Male,71,3,1,Research Scientist,1,Single,2956,15178,1,Y,No,13,3,4,80,0,1,2,3,1,0,0,0
+20,Yes,Travel_Frequently,871,Research & Development,6,3,Life Sciences,1,137,4,Female,66,2,1,Laboratory Technician,4,Single,2926,19783,1,Y,Yes,18,3,2,80,0,1,5,3,1,0,1,0
+34,No,Travel_Rarely,665,Research & Development,6,4,Other,1,138,1,Female,41,3,2,Research Scientist,3,Single,4809,12482,1,Y,No,14,3,3,80,0,16,3,3,16,13,2,10
+37,No,Non-Travel,1040,Research & Development,2,2,Life Sciences,1,139,3,Male,100,2,2,Healthcare Representative,4,Divorced,5163,15850,5,Y,No,14,3,4,80,1,17,2,4,1,0,0,0
+59,No,Non-Travel,1420,Human Resources,2,4,Human Resources,1,140,3,Female,32,2,5,Manager,4,Married,18844,21922,9,Y,No,21,4,4,80,1,30,3,3,3,2,2,2
+50,No,Travel_Frequently,1115,Research & Development,1,3,Life Sciences,1,141,1,Female,73,3,5,Research Director,2,Married,18172,9755,3,Y,Yes,19,3,1,80,0,28,1,2,8,3,0,7
+25,Yes,Travel_Rarely,240,Sales,5,3,Marketing,1,142,3,Male,46,2,2,Sales Executive,3,Single,5744,26959,1,Y,Yes,11,3,4,80,0,6,1,3,6,4,0,3
+25,No,Travel_Rarely,1280,Research & Development,7,1,Medical,1,143,4,Male,64,2,1,Research Scientist,4,Married,2889,26897,1,Y,No,11,3,3,80,2,2,2,3,2,2,2,1
+22,No,Travel_Rarely,534,Research & Development,15,3,Medical,1,144,2,Female,59,3,1,Laboratory Technician,4,Single,2871,23785,1,Y,No,15,3,3,80,0,1,5,3,0,0,0,0
+51,No,Travel_Frequently,1456,Research & Development,1,4,Medical,1,145,1,Female,30,2,3,Healthcare Representative,1,Single,7484,25796,3,Y,No,20,4,3,80,0,23,1,2,13,12,12,8
+34,Yes,Travel_Frequently,658,Research & Development,7,3,Life Sciences,1,147,1,Male,66,1,2,Laboratory Technician,3,Single,6074,22887,1,Y,Yes,24,4,4,80,0,9,3,3,9,7,0,6
+54,No,Non-Travel,142,Human Resources,26,3,Human Resources,1,148,4,Female,30,4,4,Manager,4,Single,17328,13871,2,Y,Yes,12,3,3,80,0,23,3,3,5,3,4,4
+24,No,Travel_Rarely,1127,Research & Development,18,1,Life Sciences,1,150,2,Male,52,3,1,Laboratory Technician,3,Married,2774,13257,0,Y,No,12,3,3,80,1,6,2,3,5,3,1,2
+34,No,Travel_Rarely,1031,Research & Development,6,4,Life Sciences,1,151,3,Female,45,2,2,Research Scientist,2,Divorced,4505,15000,6,Y,No,15,3,3,80,1,12,3,3,1,0,0,0
+37,No,Travel_Rarely,1189,Sales,3,3,Life Sciences,1,152,3,Male,87,3,3,Sales Executive,4,Single,7428,14506,2,Y,No,12,3,1,80,0,12,3,3,5,3,1,3
+34,No,Travel_Rarely,1354,Research & Development,5,3,Medical,1,153,3,Female,45,2,3,Manager,1,Single,11631,5615,2,Y,No,12,3,4,80,0,14,6,3,11,10,5,8
+36,No,Travel_Frequently,1467,Sales,11,2,Technical Degree,1,154,2,Female,92,3,3,Sales Executive,4,Married,9738,22952,0,Y,No,14,3,3,80,1,10,6,3,9,7,2,8
+36,No,Travel_Rarely,922,Research & Development,3,2,Life Sciences,1,155,1,Female,39,3,1,Laboratory Technician,4,Divorced,2835,2561,5,Y,No,22,4,1,80,1,7,2,3,1,0,0,0
+43,No,Travel_Frequently,394,Sales,26,2,Life Sciences,1,158,3,Male,92,3,4,Manager,4,Married,16959,19494,1,Y,Yes,12,3,4,80,2,25,3,4,25,12,4,12
+30,No,Travel_Frequently,1312,Research & Development,23,3,Life Sciences,1,159,1,Male,96,1,1,Research Scientist,3,Divorced,2613,22310,1,Y,No,25,4,3,80,3,10,2,2,10,7,0,9
+33,No,Non-Travel,750,Sales,22,2,Marketing,1,160,3,Male,95,3,2,Sales Executive,2,Married,6146,15480,0,Y,No,13,3,1,80,1,8,2,4,7,7,0,7
+56,Yes,Travel_Rarely,441,Research & Development,14,4,Life Sciences,1,161,2,Female,72,3,1,Research Scientist,2,Married,4963,4510,9,Y,Yes,18,3,1,80,3,7,2,3,5,4,4,3
+51,No,Travel_Rarely,684,Research & Development,6,3,Life Sciences,1,162,1,Male,51,3,5,Research Director,3,Single,19537,6462,7,Y,No,13,3,3,80,0,23,5,3,20,18,15,15
+31,Yes,Travel_Rarely,249,Sales,6,4,Life Sciences,1,163,2,Male,76,1,2,Sales Executive,3,Married,6172,20739,4,Y,Yes,18,3,2,80,0,12,3,2,7,7,7,7
+26,No,Travel_Rarely,841,Research & Development,6,3,Other,1,164,3,Female,46,2,1,Research Scientist,2,Married,2368,23300,1,Y,No,19,3,3,80,0,5,3,2,5,4,4,3
+58,Yes,Travel_Rarely,147,Research & Development,23,4,Medical,1,165,4,Female,94,3,3,Healthcare Representative,4,Married,10312,3465,1,Y,No,12,3,4,80,1,40,3,2,40,10,15,6
+19,Yes,Travel_Rarely,528,Sales,22,1,Marketing,1,167,4,Male,50,3,1,Sales Representative,3,Single,1675,26820,1,Y,Yes,19,3,4,80,0,0,2,2,0,0,0,0
+22,No,Travel_Rarely,594,Research & Development,2,1,Technical Degree,1,169,3,Male,100,3,1,Laboratory Technician,4,Married,2523,19299,0,Y,No,14,3,3,80,1,3,2,3,2,1,2,1
+49,No,Travel_Rarely,470,Research & Development,20,4,Medical,1,170,3,Female,96,3,2,Manufacturing Director,1,Married,6567,5549,1,Y,No,14,3,3,80,0,16,2,2,15,11,5,11
+43,No,Travel_Frequently,957,Research & Development,28,3,Medical,1,171,2,Female,72,4,1,Research Scientist,3,Single,4739,16090,4,Y,No,12,3,4,80,0,18,2,3,3,2,1,2
+50,No,Travel_Frequently,809,Sales,12,3,Marketing,1,174,3,Female,77,3,3,Sales Executive,4,Single,9208,6645,4,Y,No,11,3,4,80,0,16,3,3,2,2,2,1
+31,Yes,Travel_Rarely,542,Sales,20,3,Life Sciences,1,175,2,Female,71,1,2,Sales Executive,3,Married,4559,24788,3,Y,Yes,11,3,3,80,1,4,2,3,2,2,2,2
+41,No,Travel_Rarely,802,Sales,9,1,Life Sciences,1,176,3,Male,96,3,3,Sales Executive,3,Divorced,8189,21196,3,Y,Yes,13,3,3,80,1,12,2,3,9,7,0,7
+26,No,Travel_Rarely,1355,Human Resources,25,1,Life Sciences,1,177,3,Female,61,3,1,Human Resources,3,Married,2942,8916,1,Y,No,23,4,4,80,1,8,3,3,8,7,5,7
+36,No,Travel_Rarely,216,Research & Development,6,2,Medical,1,178,2,Male,84,3,2,Manufacturing Director,2,Divorced,4941,2819,6,Y,No,20,4,4,80,2,7,0,3,3,2,0,1
+51,Yes,Travel_Frequently,1150,Research & Development,8,4,Life Sciences,1,179,1,Male,53,1,3,Manufacturing Director,4,Single,10650,25150,2,Y,No,15,3,4,80,0,18,2,3,4,2,0,3
+39,No,Travel_Rarely,1329,Sales,4,4,Life Sciences,1,182,4,Female,47,2,2,Sales Executive,3,Married,5902,14590,4,Y,No,14,3,3,80,1,17,1,4,15,11,5,9
+25,No,Travel_Rarely,959,Sales,28,3,Life Sciences,1,183,1,Male,41,2,2,Sales Executive,3,Married,8639,24835,2,Y,No,18,3,4,80,0,6,3,3,2,2,2,2
+30,No,Travel_Rarely,1240,Human Resources,9,3,Human Resources,1,184,3,Male,48,3,2,Human Resources,4,Married,6347,13982,0,Y,Yes,19,3,4,80,0,12,2,1,11,9,4,7
+32,Yes,Travel_Rarely,1033,Research & Development,9,3,Medical,1,190,1,Female,41,3,1,Laboratory Technician,1,Single,4200,10224,7,Y,No,22,4,1,80,0,10,2,4,5,4,0,4
+45,No,Travel_Rarely,1316,Research & Development,29,3,Medical,1,192,3,Male,83,3,1,Research Scientist,4,Single,3452,9752,5,Y,No,13,3,2,80,0,9,2,2,6,5,0,3
+38,No,Travel_Rarely,364,Research & Development,3,5,Technical Degree,1,193,4,Female,32,3,2,Research Scientist,3,Single,4317,2302,3,Y,Yes,20,4,2,80,0,19,2,3,3,2,2,2
+30,No,Travel_Rarely,438,Research & Development,18,3,Life Sciences,1,194,1,Female,75,3,1,Research Scientist,3,Single,2632,23910,1,Y,No,14,3,3,80,0,5,4,2,5,4,0,4
+32,No,Travel_Frequently,689,Sales,9,2,Medical,1,195,4,Male,35,1,2,Sales Executive,4,Divorced,4668,22812,0,Y,No,17,3,4,80,3,9,2,4,8,7,0,7
+30,No,Travel_Rarely,201,Research & Development,5,3,Technical Degree,1,197,4,Female,84,3,1,Research Scientist,1,Divorced,3204,10415,5,Y,No,14,3,4,80,1,8,3,3,3,2,2,2
+30,No,Travel_Rarely,1427,Research & Development,2,1,Medical,1,198,2,Male,35,2,1,Laboratory Technician,4,Single,2720,11162,0,Y,No,13,3,4,80,0,6,3,3,5,3,1,2
+41,No,Travel_Frequently,857,Research & Development,10,3,Life Sciences,1,199,4,Male,91,2,4,Manager,1,Divorced,17181,12888,4,Y,No,13,3,2,80,1,21,2,2,7,6,7,7
+41,No,Travel_Rarely,933,Research & Development,9,4,Life Sciences,1,200,3,Male,94,3,1,Laboratory Technician,1,Married,2238,6961,2,Y,No,21,4,4,80,1,7,2,3,5,0,1,4
+19,No,Travel_Rarely,1181,Research & Development,3,1,Medical,1,201,2,Female,79,3,1,Laboratory Technician,2,Single,1483,16102,1,Y,No,14,3,4,80,0,1,3,3,1,0,0,0
+40,No,Travel_Frequently,1395,Research & Development,26,3,Medical,1,202,2,Female,54,3,2,Research Scientist,2,Divorced,5605,8504,1,Y,No,11,3,1,80,1,20,2,3,20,7,2,13
+35,No,Travel_Rarely,662,Sales,1,5,Marketing,1,204,3,Male,94,3,3,Sales Executive,2,Married,7295,11439,1,Y,No,13,3,1,80,2,10,3,3,10,8,0,6
+53,No,Travel_Rarely,1436,Sales,6,2,Marketing,1,205,2,Male,34,3,2,Sales Representative,3,Married,2306,16047,2,Y,Yes,20,4,4,80,1,13,3,1,7,7,4,5
+45,No,Travel_Rarely,194,Research & Development,9,3,Life Sciences,1,206,2,Male,60,3,2,Laboratory Technician,2,Divorced,2348,10901,8,Y,No,18,3,3,80,1,20,2,1,17,9,0,15
+32,No,Travel_Frequently,967,Sales,8,3,Marketing,1,207,2,Female,43,3,3,Sales Executive,4,Single,8998,15589,1,Y,No,14,3,4,80,0,9,2,3,9,8,3,7
+29,No,Non-Travel,1496,Research & Development,1,1,Technical Degree,1,208,4,Male,41,3,2,Manufacturing Director,3,Married,4319,26283,1,Y,No,13,3,1,80,1,10,1,3,10,7,0,9
+51,No,Travel_Rarely,1169,Research & Development,7,4,Medical,1,211,2,Male,34,2,2,Manufacturing Director,3,Married,6132,13983,2,Y,No,17,3,3,80,0,10,2,3,1,0,0,0
+58,No,Travel_Rarely,1145,Research & Development,9,3,Medical,1,214,2,Female,75,2,1,Research Scientist,2,Married,3346,11873,4,Y,Yes,20,4,2,80,1,9,3,2,1,0,0,0
+40,No,Travel_Rarely,630,Sales,4,4,Marketing,1,215,3,Male,67,2,3,Sales Executive,4,Married,10855,8552,7,Y,No,11,3,1,80,1,15,2,2,12,11,2,11
+34,No,Travel_Frequently,303,Sales,2,4,Marketing,1,216,3,Female,75,3,1,Sales Representative,3,Married,2231,11314,6,Y,No,18,3,4,80,1,6,3,3,4,3,1,2
+22,No,Travel_Rarely,1256,Research & Development,19,1,Medical,1,217,3,Male,80,3,1,Research Scientist,4,Married,2323,11992,1,Y,No,24,4,1,80,2,2,6,3,2,2,2,2
+27,No,Non-Travel,691,Research & Development,9,3,Medical,1,218,4,Male,57,3,1,Research Scientist,2,Divorced,2024,5970,6,Y,No,18,3,4,80,1,6,1,1,2,2,2,2
+28,No,Travel_Rarely,440,Research & Development,21,3,Medical,1,221,3,Male,42,3,1,Research Scientist,4,Married,2713,6672,1,Y,No,11,3,3,80,1,5,2,1,5,2,0,2
+57,No,Travel_Rarely,334,Research & Development,24,2,Life Sciences,1,223,3,Male,83,4,3,Healthcare Representative,4,Divorced,9439,23402,3,Y,Yes,16,3,2,80,1,12,2,1,5,3,1,4
+27,No,Non-Travel,1450,Research & Development,3,3,Medical,1,224,3,Male,79,2,1,Research Scientist,3,Divorced,2566,25326,1,Y,Yes,15,3,4,80,1,1,2,2,1,1,0,1
+50,No,Travel_Rarely,1452,Research & Development,11,3,Life Sciences,1,226,3,Female,53,3,5,Manager,2,Single,19926,17053,3,Y,No,15,3,2,80,0,21,5,3,5,4,4,4
+41,No,Travel_Rarely,465,Research & Development,14,3,Life Sciences,1,227,1,Male,56,3,1,Research Scientist,3,Divorced,2451,4609,4,Y,No,12,3,1,80,1,13,2,3,9,8,1,8
+30,No,Travel_Rarely,1339,Sales,5,3,Life Sciences,1,228,2,Female,41,3,3,Sales Executive,4,Married,9419,8053,2,Y,No,12,3,3,80,1,12,2,3,10,9,7,4
+38,No,Travel_Rarely,702,Sales,1,4,Life Sciences,1,230,1,Female,59,2,2,Sales Executive,4,Single,8686,12930,4,Y,No,22,4,3,80,0,12,2,4,8,3,0,7
+32,No,Travel_Rarely,120,Research & Development,6,5,Life Sciences,1,231,3,Male,43,3,1,Research Scientist,3,Single,3038,12430,3,Y,No,20,4,1,80,0,8,2,3,5,4,1,4
+27,No,Travel_Rarely,1157,Research & Development,17,3,Technical Degree,1,233,3,Male,51,3,1,Research Scientist,2,Married,3058,13364,0,Y,Yes,16,3,4,80,1,6,3,2,5,2,1,1
+19,Yes,Travel_Frequently,602,Sales,1,1,Technical Degree,1,235,3,Female,100,1,1,Sales Representative,1,Single,2325,20989,0,Y,No,21,4,1,80,0,1,5,4,0,0,0,0
+36,No,Travel_Frequently,1480,Research & Development,3,2,Medical,1,238,4,Male,30,3,1,Laboratory Technician,2,Single,2088,15062,4,Y,No,12,3,3,80,0,13,3,2,8,7,7,2
+30,No,Non-Travel,111,Research & Development,9,3,Medical,1,239,3,Male,66,3,2,Laboratory Technician,1,Divorced,3072,11012,1,Y,No,11,3,3,80,2,12,4,3,12,9,6,10
+45,No,Travel_Rarely,1268,Sales,4,2,Life Sciences,1,240,3,Female,30,3,2,Sales Executive,1,Divorced,5006,6319,4,Y,Yes,11,3,1,80,1,9,3,4,5,4,0,3
+56,No,Travel_Rarely,713,Research & Development,8,3,Life Sciences,1,241,3,Female,67,3,1,Research Scientist,1,Divorced,4257,13939,4,Y,Yes,18,3,3,80,1,19,3,3,2,2,2,2
+33,No,Travel_Rarely,134,Research & Development,2,3,Life Sciences,1,242,3,Male,90,3,1,Research Scientist,4,Single,2500,10515,0,Y,No,14,3,1,80,0,4,2,4,3,1,0,2
+19,Yes,Travel_Rarely,303,Research & Development,2,3,Life Sciences,1,243,2,Male,47,2,1,Laboratory Technician,4,Single,1102,9241,1,Y,No,22,4,3,80,0,1,3,2,1,0,1,0
+46,No,Travel_Rarely,526,Sales,1,2,Marketing,1,244,2,Female,92,3,3,Sales Executive,1,Divorced,10453,2137,1,Y,No,25,4,3,80,3,24,2,3,24,13,15,7
+38,No,Travel_Rarely,1380,Research & Development,9,2,Life Sciences,1,245,3,Female,75,3,1,Laboratory Technician,4,Single,2288,6319,1,Y,No,12,3,3,80,0,2,3,3,2,2,2,1
+31,No,Travel_Rarely,140,Research & Development,12,1,Medical,1,246,3,Female,95,3,1,Research Scientist,4,Married,3929,6984,8,Y,Yes,23,4,3,80,1,7,0,3,4,2,0,2
+34,No,Travel_Rarely,629,Research & Development,27,2,Medical,1,247,4,Female,95,3,1,Research Scientist,2,Single,2311,5711,2,Y,No,15,3,4,80,0,9,3,3,3,2,1,2
+41,Yes,Travel_Rarely,1356,Sales,20,2,Marketing,1,248,2,Female,70,3,1,Sales Representative,2,Single,3140,21728,1,Y,Yes,22,4,4,80,0,4,5,2,4,3,0,2
+50,No,Travel_Rarely,328,Research & Development,1,3,Medical,1,249,3,Male,86,2,1,Laboratory Technician,3,Married,3690,3425,2,Y,No,15,3,4,80,1,5,2,2,3,2,0,2
+53,No,Travel_Rarely,1084,Research & Development,13,2,Medical,1,250,4,Female,57,4,2,Manufacturing Director,1,Divorced,4450,26250,1,Y,No,11,3,3,80,2,5,3,3,4,2,1,3
+33,No,Travel_Rarely,931,Research & Development,14,3,Medical,1,252,4,Female,72,3,1,Research Scientist,2,Married,2756,4673,1,Y,No,13,3,4,80,1,8,5,3,8,7,1,6
+40,No,Travel_Rarely,989,Research & Development,4,1,Medical,1,253,4,Female,46,3,5,Manager,3,Married,19033,6499,1,Y,No,14,3,2,80,1,21,2,3,20,8,9,9
+55,No,Travel_Rarely,692,Research & Development,14,4,Medical,1,254,3,Male,61,4,5,Research Director,2,Single,18722,13339,8,Y,No,11,3,4,80,0,36,3,3,24,15,2,15
+34,No,Travel_Frequently,1069,Research & Development,2,1,Life Sciences,1,256,4,Male,45,2,2,Manufacturing Director,3,Married,9547,14074,1,Y,No,17,3,3,80,0,10,2,2,10,9,1,9
+51,No,Travel_Rarely,313,Research & Development,3,3,Medical,1,258,4,Female,98,3,4,Healthcare Representative,2,Single,13734,7192,3,Y,No,18,3,3,80,0,21,6,3,7,7,1,0
+52,No,Travel_Rarely,699,Research & Development,1,4,Life Sciences,1,259,3,Male,65,2,5,Manager,3,Married,19999,5678,0,Y,No,14,3,1,80,1,34,5,3,33,18,11,9
+27,No,Travel_Rarely,894,Research & Development,9,3,Medical,1,260,4,Female,99,3,1,Research Scientist,2,Single,2279,11781,1,Y,No,16,3,4,80,0,7,2,2,7,7,0,3
+35,Yes,Travel_Rarely,556,Research & Development,23,2,Life Sciences,1,261,2,Male,50,2,2,Manufacturing Director,3,Married,5916,15497,3,Y,Yes,13,3,1,80,0,8,1,3,1,0,0,1
+43,No,Non-Travel,1344,Research & Development,7,3,Medical,1,262,4,Male,37,4,1,Research Scientist,4,Divorced,2089,5228,4,Y,No,14,3,4,80,3,7,3,4,5,4,2,2
+45,No,Non-Travel,1195,Research & Development,2,2,Medical,1,264,1,Male,65,2,4,Manager,4,Married,16792,20462,9,Y,No,23,4,4,80,1,22,1,3,20,8,11,8
+37,No,Travel_Rarely,290,Research & Development,21,3,Life Sciences,1,267,2,Male,65,4,1,Research Scientist,1,Married,3564,22977,1,Y,Yes,12,3,1,80,1,8,3,2,8,7,1,7
+35,No,Travel_Frequently,138,Research & Development,2,3,Medical,1,269,2,Female,37,3,2,Laboratory Technician,2,Single,4425,15986,5,Y,No,11,3,4,80,0,10,5,3,6,2,1,2
+42,No,Non-Travel,926,Research & Development,21,2,Medical,1,270,3,Female,36,3,2,Manufacturing Director,3,Divorced,5265,16439,2,Y,No,16,3,2,80,1,11,5,3,5,3,0,2
+38,No,Travel_Rarely,1261,Research & Development,2,4,Life Sciences,1,271,4,Male,88,3,2,Manufacturing Director,3,Married,6553,7259,9,Y,No,14,3,2,80,0,14,3,3,1,0,0,0
+38,No,Travel_Rarely,1084,Research & Development,29,3,Technical Degree,1,273,4,Male,54,3,2,Manufacturing Director,4,Married,6261,4185,3,Y,No,18,3,1,80,1,9,3,1,7,7,1,7
+27,No,Travel_Frequently,472,Research & Development,1,1,Technical Degree,1,274,3,Male,60,2,2,Manufacturing Director,1,Married,4298,9679,5,Y,No,19,3,3,80,1,6,1,3,2,2,2,0
+49,No,Non-Travel,1002,Research & Development,18,4,Life Sciences,1,275,4,Male,92,3,2,Manufacturing Director,4,Divorced,6804,23793,1,Y,Yes,15,3,1,80,2,7,0,3,7,7,1,7
+34,No,Travel_Frequently,878,Research & Development,10,4,Medical,1,277,4,Male,43,3,1,Research Scientist,3,Divorced,3815,5972,1,Y,Yes,17,3,4,80,1,5,4,4,5,3,2,0
+40,No,Travel_Rarely,905,Research & Development,19,2,Medical,1,281,3,Male,99,3,2,Laboratory Technician,4,Married,2741,16523,8,Y,Yes,15,3,3,80,1,15,2,4,7,2,3,7
+38,Yes,Travel_Rarely,1180,Research & Development,29,1,Medical,1,282,2,Male,70,3,2,Healthcare Representative,1,Married,6673,11354,7,Y,Yes,19,3,2,80,0,17,2,3,1,0,0,0
+29,Yes,Travel_Rarely,121,Sales,27,3,Marketing,1,283,2,Female,35,3,3,Sales Executive,4,Married,7639,24525,1,Y,No,22,4,4,80,3,10,3,2,10,4,1,9
+22,No,Travel_Rarely,1136,Research & Development,5,3,Life Sciences,1,284,4,Male,60,4,1,Research Scientist,2,Divorced,2328,12392,1,Y,Yes,16,3,1,80,1,4,2,2,4,2,2,2
+36,No,Travel_Frequently,635,Research & Development,18,1,Medical,1,286,2,Female,73,3,1,Laboratory Technician,4,Single,2153,7703,1,Y,No,13,3,1,80,0,8,2,3,8,1,1,7
+40,No,Non-Travel,1151,Research & Development,9,5,Life Sciences,1,287,4,Male,63,2,2,Healthcare Representative,4,Married,4876,14242,9,Y,No,14,3,4,80,1,5,5,1,3,2,0,2
+46,No,Travel_Rarely,644,Research & Development,1,4,Medical,1,288,4,Male,97,3,3,Healthcare Representative,1,Divorced,9396,12368,7,Y,No,16,3,3,80,1,17,3,3,4,2,0,3
+32,Yes,Travel_Rarely,1045,Sales,4,4,Medical,1,291,4,Male,32,1,3,Sales Executive,4,Married,10400,25812,1,Y,No,11,3,3,80,0,14,2,2,14,8,9,8
+30,No,Non-Travel,829,Research & Development,1,1,Life Sciences,1,292,3,Male,88,2,3,Manufacturing Director,3,Single,8474,20925,1,Y,No,22,4,3,80,0,12,2,3,11,8,5,8
+27,No,Travel_Frequently,1242,Sales,20,3,Life Sciences,1,293,4,Female,90,3,2,Sales Executive,3,Single,9981,12916,1,Y,No,14,3,4,80,0,7,2,3,7,7,0,7
+51,No,Travel_Rarely,1469,Research & Development,8,4,Life Sciences,1,296,2,Male,81,2,3,Research Director,2,Married,12490,15736,5,Y,No,16,3,4,80,2,16,5,1,10,9,4,7
+30,Yes,Travel_Rarely,1005,Research & Development,3,3,Technical Degree,1,297,4,Female,88,3,1,Research Scientist,1,Single,2657,8556,5,Y,Yes,11,3,3,80,0,8,5,3,5,2,0,4
+41,No,Travel_Rarely,896,Sales,6,3,Life Sciences,1,298,4,Female,75,3,3,Manager,4,Single,13591,14674,3,Y,Yes,18,3,3,80,0,16,3,3,1,0,0,0
+30,Yes,Travel_Frequently,334,Sales,26,4,Marketing,1,299,3,Female,52,2,2,Sales Executive,1,Single,6696,22967,5,Y,No,15,3,3,80,0,9,5,2,6,3,0,1
+29,Yes,Travel_Rarely,992,Research & Development,1,3,Technical Degree,1,300,3,Male,85,3,1,Research Scientist,3,Single,2058,19757,0,Y,No,14,3,4,80,0,7,1,2,6,2,1,5
+45,No,Non-Travel,1052,Sales,6,3,Medical,1,302,4,Female,57,2,3,Sales Executive,4,Single,8865,16840,6,Y,No,12,3,4,80,0,23,2,3,19,7,12,8
+54,No,Travel_Rarely,1147,Sales,3,3,Marketing,1,303,4,Female,52,3,2,Sales Executive,1,Married,5940,17011,2,Y,No,14,3,4,80,1,16,4,3,6,2,0,5
+36,No,Travel_Rarely,1396,Research & Development,5,2,Life Sciences,1,304,4,Male,62,3,2,Laboratory Technician,2,Single,5914,9945,8,Y,No,16,3,4,80,0,16,3,4,13,11,3,7
+33,No,Travel_Rarely,147,Research & Development,4,4,Medical,1,305,3,Female,47,2,1,Research Scientist,2,Married,2622,13248,6,Y,No,21,4,4,80,0,7,3,3,3,2,1,1
+37,No,Travel_Frequently,663,Research & Development,11,3,Other,1,306,2,Male,47,3,3,Research Director,4,Divorced,12185,10056,1,Y,Yes,14,3,3,80,3,10,1,3,10,8,0,7
+38,No,Travel_Rarely,119,Sales,3,3,Life Sciences,1,307,1,Male,76,3,3,Sales Executive,3,Divorced,10609,9647,0,Y,No,12,3,3,80,2,17,6,2,16,10,5,13
+31,No,Non-Travel,979,Research & Development,1,4,Medical,1,308,3,Male,90,1,2,Manufacturing Director,3,Married,4345,4381,0,Y,No,12,3,4,80,1,6,2,3,5,4,1,4
+59,No,Travel_Rarely,142,Research & Development,3,3,Life Sciences,1,309,3,Male,70,2,1,Research Scientist,4,Married,2177,8456,3,Y,No,17,3,1,80,1,7,6,3,1,0,0,0
+37,No,Travel_Frequently,319,Sales,4,4,Marketing,1,311,1,Male,41,3,1,Sales Representative,4,Divorced,2793,2539,4,Y,No,17,3,3,80,1,13,2,3,9,8,5,8
+29,No,Travel_Frequently,1413,Sales,1,1,Medical,1,312,2,Female,42,3,3,Sales Executive,4,Married,7918,6599,1,Y,No,14,3,4,80,1,11,5,3,11,10,4,1
+35,No,Travel_Frequently,944,Sales,1,3,Marketing,1,314,3,Female,92,3,3,Sales Executive,3,Single,8789,9096,1,Y,No,14,3,1,80,0,10,3,4,10,7,0,8
+29,Yes,Travel_Rarely,896,Research & Development,18,1,Medical,1,315,3,Male,86,2,1,Research Scientist,4,Single,2389,14961,1,Y,Yes,13,3,3,80,0,4,3,2,4,3,0,1
+52,No,Travel_Rarely,1323,Research & Development,2,3,Life Sciences,1,316,3,Female,89,2,1,Laboratory Technician,4,Single,3212,3300,7,Y,No,15,3,2,80,0,6,3,2,2,2,2,2
+42,No,Travel_Rarely,532,Research & Development,4,2,Technical Degree,1,319,3,Male,58,3,5,Manager,4,Married,19232,4933,1,Y,No,11,3,4,80,0,22,3,3,22,17,11,15
+59,No,Travel_Rarely,818,Human Resources,6,2,Medical,1,321,2,Male,52,3,1,Human Resources,3,Married,2267,25657,8,Y,No,17,3,4,80,0,7,2,2,2,2,2,2
+50,No,Travel_Rarely,854,Sales,1,4,Medical,1,323,4,Female,68,3,5,Manager,4,Divorced,19517,24118,3,Y,No,11,3,3,80,1,32,3,2,7,0,0,6
+33,Yes,Travel_Rarely,813,Research & Development,14,3,Medical,1,325,3,Male,58,3,1,Laboratory Technician,4,Married,2436,22149,5,Y,Yes,13,3,3,80,1,8,2,1,5,4,0,4
+43,No,Travel_Rarely,1034,Sales,16,3,Marketing,1,327,4,Female,80,3,4,Manager,4,Married,16064,7744,5,Y,Yes,22,4,3,80,1,22,3,3,17,13,1,9
+33,Yes,Travel_Rarely,465,Research & Development,2,2,Life Sciences,1,328,1,Female,39,3,1,Laboratory Technician,1,Married,2707,21509,7,Y,No,20,4,1,80,0,13,3,4,9,7,1,7
+52,No,Non-Travel,771,Sales,2,4,Life Sciences,1,329,1,Male,79,2,5,Manager,3,Single,19068,21030,1,Y,Yes,18,3,4,80,0,33,2,4,33,7,15,12
+32,No,Travel_Rarely,1401,Sales,4,2,Life Sciences,1,330,3,Female,56,3,1,Sales Representative,2,Married,3931,20990,2,Y,No,11,3,1,80,1,6,5,3,4,3,1,2
+32,Yes,Travel_Rarely,515,Research & Development,1,3,Life Sciences,1,331,4,Male,62,2,1,Laboratory Technician,3,Single,3730,9571,0,Y,Yes,14,3,4,80,0,4,2,1,3,2,1,2
+39,No,Travel_Rarely,1431,Research & Development,1,4,Medical,1,332,3,Female,96,3,1,Laboratory Technician,3,Divorced,2232,15417,7,Y,No,14,3,3,80,3,7,1,3,3,2,1,2
+32,No,Non-Travel,976,Sales,26,4,Marketing,1,333,3,Male,100,3,2,Sales Executive,4,Married,4465,12069,0,Y,No,18,3,1,80,0,4,2,3,3,2,2,2
+41,No,Travel_Rarely,1411,Research & Development,19,2,Life Sciences,1,334,3,Male,36,3,2,Research Scientist,1,Divorced,3072,19877,2,Y,No,16,3,1,80,2,17,2,2,1,0,0,0
+40,No,Travel_Rarely,1300,Research & Development,24,2,Technical Degree,1,335,1,Male,62,3,2,Research Scientist,4,Divorced,3319,24447,1,Y,No,17,3,1,80,2,9,3,3,9,8,4,7
+45,No,Travel_Rarely,252,Research & Development,1,3,Other,1,336,3,Male,70,4,5,Manager,4,Married,19202,15970,0,Y,No,11,3,3,80,1,25,2,3,24,0,1,7
+31,No,Travel_Frequently,1327,Research & Development,3,4,Medical,1,337,2,Male,73,3,3,Research Director,3,Divorced,13675,13523,9,Y,No,12,3,1,80,1,9,3,3,2,2,2,2
+33,No,Travel_Rarely,832,Research & Development,5,4,Life Sciences,1,338,3,Female,63,2,1,Research Scientist,4,Married,2911,14776,1,Y,No,13,3,3,80,1,2,2,2,2,2,0,2
+34,No,Travel_Rarely,470,Research & Development,2,4,Life Sciences,1,339,4,Male,84,2,2,Manufacturing Director,1,Married,5957,23687,6,Y,No,13,3,2,80,1,13,3,3,11,9,5,9
+37,No,Travel_Rarely,1017,Research & Development,1,2,Medical,1,340,3,Female,83,2,1,Research Scientist,1,Married,3920,18697,2,Y,No,14,3,1,80,1,17,2,2,3,1,0,2
+45,No,Travel_Frequently,1199,Research & Development,7,4,Life Sciences,1,341,1,Male,77,4,2,Manufacturing Director,3,Married,6434,5118,4,Y,No,17,3,4,80,1,9,1,3,3,2,0,2
+37,Yes,Travel_Frequently,504,Research & Development,10,3,Medical,1,342,1,Male,61,3,3,Manufacturing Director,3,Divorced,10048,22573,6,Y,No,11,3,2,80,2,17,5,3,1,0,0,0
+39,No,Travel_Frequently,505,Research & Development,2,4,Technical Degree,1,343,3,Female,64,3,3,Healthcare Representative,3,Single,10938,6420,0,Y,No,25,4,4,80,0,20,1,3,19,6,11,8
+29,No,Travel_Rarely,665,Research & Development,15,3,Life Sciences,1,346,3,Male,60,3,1,Research Scientist,4,Single,2340,22673,1,Y,No,19,3,1,80,0,6,1,3,6,5,1,5
+42,No,Travel_Rarely,916,Research & Development,17,2,Life Sciences,1,347,4,Female,82,4,2,Research Scientist,1,Single,6545,23016,3,Y,Yes,13,3,3,80,0,10,1,3,3,2,0,2
+29,No,Travel_Rarely,1247,Sales,20,2,Marketing,1,349,4,Male,45,3,2,Sales Executive,4,Divorced,6931,10732,2,Y,No,14,3,4,80,1,10,2,3,3,2,0,2
+25,No,Travel_Rarely,685,Research & Development,1,3,Life Sciences,1,350,1,Female,62,3,2,Manufacturing Director,3,Married,4898,7505,0,Y,No,12,3,4,80,2,5,3,3,4,2,1,2
+42,No,Travel_Rarely,269,Research & Development,2,3,Medical,1,351,4,Female,56,2,1,Laboratory Technician,1,Divorced,2593,8007,0,Y,Yes,11,3,3,80,1,10,4,3,9,6,7,8
+40,No,Travel_Rarely,1416,Research & Development,2,2,Medical,1,352,1,Male,49,3,5,Research Director,3,Divorced,19436,5949,0,Y,No,19,3,4,80,1,22,5,3,21,7,3,9
+51,No,Travel_Rarely,833,Research & Development,1,3,Life Sciences,1,353,3,Male,96,3,1,Research Scientist,4,Married,2723,23231,1,Y,No,11,3,2,80,0,1,0,2,1,0,0,0
+31,Yes,Travel_Frequently,307,Research & Development,29,2,Medical,1,355,3,Male,71,2,1,Laboratory Technician,2,Single,3479,11652,0,Y,No,11,3,2,80,0,6,2,4,5,4,1,4
+32,No,Travel_Frequently,1311,Research & Development,7,3,Life Sciences,1,359,2,Male,100,4,1,Laboratory Technician,2,Married,2794,26062,1,Y,No,20,4,3,80,0,5,3,1,5,1,0,3
+38,No,Non-Travel,1327,Sales,2,2,Life Sciences,1,361,4,Male,39,2,2,Sales Executive,4,Married,5249,19682,3,Y,No,18,3,4,80,1,13,0,3,8,7,7,5
+32,No,Travel_Rarely,128,Research & Development,2,1,Technical Degree,1,362,4,Male,84,2,2,Laboratory Technician,1,Single,2176,19737,4,Y,No,13,3,4,80,0,9,5,3,6,2,0,4
+46,No,Travel_Rarely,488,Sales,2,3,Technical Degree,1,363,3,Female,75,1,4,Manager,2,Married,16872,14977,3,Y,Yes,12,3,2,80,1,28,2,2,7,7,7,7
+28,Yes,Travel_Rarely,529,Research & Development,2,4,Life Sciences,1,364,1,Male,79,3,1,Laboratory Technician,3,Single,3485,14935,2,Y,No,11,3,3,80,0,5,5,1,0,0,0,0
+29,No,Travel_Rarely,1210,Sales,2,3,Medical,1,366,1,Male,78,2,2,Sales Executive,2,Married,6644,3687,2,Y,No,19,3,2,80,2,10,2,3,0,0,0,0
+31,No,Travel_Rarely,1463,Research & Development,23,3,Medical,1,367,2,Male,64,2,2,Healthcare Representative,4,Married,5582,14408,0,Y,No,21,4,2,80,1,10,2,3,9,0,7,8
+25,No,Non-Travel,675,Research & Development,5,2,Life Sciences,1,369,2,Male,85,4,2,Healthcare Representative,1,Divorced,4000,18384,1,Y,No,12,3,4,80,2,6,2,3,6,3,1,5
+45,No,Travel_Rarely,1385,Research & Development,20,2,Medical,1,372,3,Male,79,3,4,Healthcare Representative,4,Married,13496,7501,0,Y,Yes,14,3,2,80,0,21,2,3,20,7,4,10
+36,No,Travel_Rarely,1403,Research & Development,6,3,Life Sciences,1,373,4,Male,47,3,1,Laboratory Technician,4,Married,3210,20251,0,Y,No,11,3,3,80,1,16,4,3,15,13,10,11
+55,No,Travel_Rarely,452,Research & Development,1,3,Medical,1,374,4,Male,81,3,5,Manager,1,Single,19045,18938,0,Y,Yes,14,3,3,80,0,37,2,3,36,10,4,13
+47,Yes,Non-Travel,666,Research & Development,29,4,Life Sciences,1,376,1,Male,88,3,3,Manager,2,Married,11849,10268,1,Y,Yes,12,3,4,80,1,10,2,2,10,7,9,9
+28,No,Travel_Rarely,1158,Research & Development,9,3,Medical,1,377,4,Male,94,3,1,Research Scientist,4,Married,2070,2613,1,Y,No,23,4,4,80,1,5,3,2,5,2,0,4
+37,No,Travel_Rarely,228,Sales,6,4,Medical,1,378,3,Male,98,3,2,Sales Executive,4,Married,6502,22825,4,Y,No,14,3,2,80,1,7,5,4,5,4,0,1
+21,No,Travel_Rarely,996,Research & Development,3,2,Medical,1,379,4,Male,100,2,1,Research Scientist,3,Single,3230,10531,1,Y,No,17,3,1,80,0,3,4,4,3,2,1,0
+37,No,Non-Travel,728,Research & Development,1,4,Medical,1,380,1,Female,80,3,3,Research Director,4,Divorced,13603,11677,2,Y,Yes,18,3,1,80,2,15,2,3,5,2,0,2
+35,No,Travel_Rarely,1315,Research & Development,22,3,Life Sciences,1,381,2,Female,71,4,3,Manager,2,Divorced,11996,19100,7,Y,No,18,3,2,80,1,10,6,2,7,7,6,2
+38,No,Travel_Rarely,322,Sales,7,2,Medical,1,382,1,Female,44,4,2,Sales Executive,1,Divorced,5605,19191,1,Y,Yes,24,4,3,80,1,8,3,3,8,0,7,7
+26,No,Travel_Frequently,1479,Research & Development,1,3,Life Sciences,1,384,3,Female,84,3,2,Manufacturing Director,2,Divorced,6397,26767,1,Y,No,20,4,1,80,1,6,6,1,6,5,1,4
+50,No,Travel_Rarely,797,Research & Development,4,1,Life Sciences,1,385,1,Male,96,3,5,Research Director,2,Divorced,19144,15815,3,Y,No,14,3,1,80,2,28,4,2,10,4,1,6
+53,No,Travel_Rarely,1070,Research & Development,3,4,Medical,1,386,3,Male,45,3,4,Research Director,3,Married,17584,21016,3,Y,Yes,16,3,4,80,3,21,5,2,5,3,1,3
+42,No,Travel_Rarely,635,Sales,1,1,Life Sciences,1,387,2,Male,99,3,2,Sales Executive,3,Married,4907,24532,1,Y,No,25,4,3,80,0,20,3,3,20,16,11,6
+29,No,Travel_Frequently,442,Sales,2,2,Life Sciences,1,388,2,Male,44,3,2,Sales Executive,4,Single,4554,20260,1,Y,No,18,3,1,80,0,10,3,2,10,7,0,9
+55,No,Travel_Rarely,147,Research & Development,20,2,Technical Degree,1,389,2,Male,37,3,2,Laboratory Technician,4,Married,5415,15972,3,Y,Yes,19,3,4,80,1,12,4,3,10,7,0,8
+26,No,Travel_Frequently,496,Research & Development,11,2,Medical,1,390,1,Male,60,3,2,Healthcare Representative,1,Married,4741,22722,1,Y,Yes,13,3,3,80,1,5,3,3,5,3,3,3
+37,No,Travel_Rarely,1372,Research & Development,1,3,Life Sciences,1,391,4,Female,42,3,1,Research Scientist,4,Single,2115,15881,1,Y,No,12,3,2,80,0,17,3,3,17,12,5,7
+44,Yes,Travel_Frequently,920,Research & Development,24,3,Life Sciences,1,392,4,Male,43,3,1,Laboratory Technician,3,Divorced,3161,19920,3,Y,Yes,22,4,4,80,1,19,0,1,1,0,0,0
+38,No,Travel_Rarely,688,Research & Development,23,4,Life Sciences,1,393,4,Male,82,3,2,Healthcare Representative,4,Divorced,5745,18899,9,Y,No,14,3,2,80,1,10,2,3,2,2,1,2
+26,Yes,Travel_Rarely,1449,Research & Development,16,4,Medical,1,394,1,Male,45,3,1,Laboratory Technician,2,Divorced,2373,14180,2,Y,Yes,13,3,4,80,1,5,2,3,3,2,0,2
+28,No,Travel_Rarely,1117,Research & Development,8,2,Life Sciences,1,395,4,Female,66,3,1,Research Scientist,4,Single,3310,4488,1,Y,No,21,4,4,80,0,5,3,3,5,3,0,2
+49,No,Travel_Frequently,636,Research & Development,10,4,Life Sciences,1,396,3,Female,35,3,5,Research Director,1,Single,18665,25594,9,Y,Yes,11,3,4,80,0,22,4,3,3,2,1,2
+36,No,Travel_Rarely,506,Research & Development,3,3,Technical Degree,1,397,3,Male,30,3,2,Research Scientist,2,Single,4485,26285,4,Y,No,12,3,4,80,0,10,2,3,8,0,7,7
+31,No,Travel_Frequently,444,Sales,5,3,Marketing,1,399,4,Female,84,3,1,Sales Representative,2,Divorced,2789,3909,1,Y,No,11,3,3,80,1,2,5,2,2,2,2,2
+26,Yes,Travel_Rarely,950,Sales,4,4,Marketing,1,401,4,Male,48,2,2,Sales Executive,4,Single,5828,8450,1,Y,Yes,12,3,2,80,0,8,0,3,8,7,7,4
+37,No,Travel_Frequently,889,Research & Development,9,3,Medical,1,403,2,Male,53,3,1,Research Scientist,4,Married,2326,11411,1,Y,Yes,12,3,3,80,3,4,3,2,4,2,1,2
+42,No,Travel_Frequently,555,Sales,26,3,Marketing,1,404,3,Female,77,3,4,Sales Executive,2,Married,13525,14864,5,Y,No,14,3,4,80,1,23,2,4,20,4,4,8
+18,Yes,Travel_Rarely,230,Research & Development,3,3,Life Sciences,1,405,3,Male,54,3,1,Laboratory Technician,3,Single,1420,25233,1,Y,No,13,3,3,80,0,0,2,3,0,0,0,0
+35,No,Travel_Rarely,1232,Sales,16,3,Marketing,1,406,3,Male,96,3,3,Sales Executive,2,Married,8020,5100,0,Y,No,15,3,3,80,2,12,3,2,11,9,6,9
+36,No,Travel_Frequently,566,Research & Development,18,4,Life Sciences,1,407,3,Male,81,4,1,Laboratory Technician,4,Married,3688,7122,4,Y,No,18,3,4,80,2,4,2,3,1,0,0,0
+51,No,Travel_Rarely,1302,Research & Development,2,3,Medical,1,408,4,Male,84,1,2,Manufacturing Director,2,Divorced,5482,16321,5,Y,No,18,3,4,80,1,13,3,3,4,1,1,2
+41,No,Travel_Rarely,334,Sales,2,4,Life Sciences,1,410,4,Male,88,3,4,Manager,2,Single,16015,15896,1,Y,No,19,3,2,80,0,22,2,3,22,10,0,4
+18,No,Travel_Rarely,812,Sales,10,3,Medical,1,411,4,Female,69,2,1,Sales Representative,3,Single,1200,9724,1,Y,No,12,3,1,80,0,0,2,3,0,0,0,0
+28,No,Travel_Rarely,1476,Research & Development,16,2,Medical,1,412,2,Male,68,4,2,Healthcare Representative,1,Single,5661,4824,0,Y,No,19,3,3,80,0,9,2,3,8,3,0,7
+31,No,Travel_Rarely,218,Sales,7,3,Technical Degree,1,416,2,Male,100,4,2,Sales Executive,4,Married,6929,12241,4,Y,No,11,3,2,80,1,10,3,2,8,7,7,7
+39,No,Travel_Rarely,1132,Research & Development,1,3,Medical,1,417,3,Male,48,4,3,Healthcare Representative,4,Divorced,9613,10942,0,Y,No,17,3,1,80,3,19,5,2,18,10,3,7
+36,No,Non-Travel,1105,Research & Development,24,4,Life Sciences,1,419,2,Female,47,3,2,Laboratory Technician,2,Married,5674,6927,7,Y,No,15,3,3,80,1,11,3,3,9,8,0,8
+32,No,Travel_Rarely,906,Sales,7,3,Life Sciences,1,420,4,Male,91,2,2,Sales Executive,3,Married,5484,16985,1,Y,No,14,3,3,80,1,13,3,2,13,8,4,8
+38,No,Travel_Rarely,849,Research & Development,25,2,Life Sciences,1,421,1,Female,81,2,3,Research Director,2,Married,12061,26707,3,Y,No,17,3,3,80,1,19,2,3,10,8,0,1
+58,No,Non-Travel,390,Research & Development,1,4,Life Sciences,1,422,4,Male,32,1,2,Healthcare Representative,3,Divorced,5660,17056,2,Y,Yes,13,3,4,80,1,12,2,3,5,3,1,2
+31,No,Travel_Rarely,691,Research & Development,5,4,Technical Degree,1,423,3,Male,86,3,1,Research Scientist,4,Married,4821,10077,0,Y,Yes,12,3,3,80,1,6,4,3,5,2,0,3
+31,No,Travel_Rarely,106,Human Resources,2,3,Human Resources,1,424,1,Male,62,2,2,Human Resources,1,Married,6410,17822,3,Y,No,12,3,4,80,0,9,1,3,2,2,1,0
+45,No,Travel_Frequently,1249,Research & Development,7,3,Life Sciences,1,425,1,Male,97,3,3,Laboratory Technician,1,Divorced,5210,20308,1,Y,No,18,3,1,80,1,24,2,3,24,9,9,11
+31,No,Travel_Rarely,192,Research & Development,2,4,Life Sciences,1,426,3,Male,32,3,1,Research Scientist,4,Divorced,2695,7747,0,Y,Yes,18,3,2,80,1,3,2,1,2,2,2,2
+33,No,Travel_Frequently,553,Research & Development,5,4,Life Sciences,1,428,4,Female,74,3,3,Manager,2,Married,11878,23364,6,Y,No,11,3,2,80,2,12,2,3,10,6,8,8
+39,No,Travel_Rarely,117,Research & Development,10,1,Medical,1,429,3,Male,99,3,4,Manager,1,Married,17068,5355,1,Y,Yes,14,3,4,80,0,21,3,3,21,9,11,10
+43,No,Travel_Frequently,185,Research & Development,10,4,Life Sciences,1,430,3,Female,33,3,1,Laboratory Technician,4,Single,2455,10675,0,Y,No,19,3,1,80,0,9,5,3,8,7,1,7
+49,No,Travel_Rarely,1091,Research & Development,1,2,Technical Degree,1,431,3,Female,90,2,4,Healthcare Representative,3,Single,13964,17810,7,Y,Yes,12,3,4,80,0,25,2,3,7,1,0,7
+52,Yes,Travel_Rarely,723,Research & Development,8,4,Medical,1,433,3,Male,85,2,2,Research Scientist,2,Married,4941,17747,2,Y,No,15,3,1,80,0,11,3,2,8,2,7,7
+27,No,Travel_Rarely,1220,Research & Development,5,3,Life Sciences,1,434,3,Female,85,3,1,Research Scientist,2,Single,2478,20938,1,Y,Yes,12,3,2,80,0,4,2,2,4,3,1,2
+32,No,Travel_Rarely,588,Sales,8,2,Technical Degree,1,436,3,Female,65,2,2,Sales Executive,2,Married,5228,24624,1,Y,Yes,11,3,4,80,0,13,2,3,13,12,11,9
+27,No,Travel_Rarely,1377,Sales,2,3,Life Sciences,1,437,4,Male,74,3,2,Sales Executive,3,Single,4478,5242,1,Y,Yes,11,3,1,80,0,5,3,3,5,4,0,4
+31,No,Travel_Rarely,691,Sales,7,3,Marketing,1,438,4,Male,73,3,2,Sales Executive,4,Divorced,7547,7143,4,Y,No,12,3,4,80,3,13,3,3,7,7,1,7
+32,No,Travel_Rarely,1018,Research & Development,2,4,Medical,1,439,1,Female,74,4,2,Research Scientist,4,Single,5055,10557,7,Y,No,16,3,3,80,0,10,0,2,7,7,0,7
+28,Yes,Travel_Rarely,1157,Research & Development,2,4,Medical,1,440,1,Male,84,1,1,Research Scientist,4,Married,3464,24737,5,Y,Yes,13,3,4,80,0,5,4,2,3,2,2,2
+30,No,Travel_Rarely,1275,Research & Development,28,2,Medical,1,441,4,Female,64,3,2,Research Scientist,4,Married,5775,11934,1,Y,No,13,3,4,80,2,11,2,3,10,8,1,9
+31,No,Travel_Frequently,798,Research & Development,7,2,Life Sciences,1,442,3,Female,48,2,3,Manufacturing Director,3,Married,8943,14034,1,Y,No,24,4,1,80,1,10,2,3,10,9,8,9
+39,No,Travel_Frequently,672,Research & Development,7,2,Medical,1,444,3,Male,54,2,5,Manager,4,Married,19272,21141,1,Y,No,15,3,1,80,1,21,2,3,21,9,13,3
+39,Yes,Travel_Rarely,1162,Sales,3,2,Medical,1,445,4,Female,41,3,2,Sales Executive,3,Married,5238,17778,4,Y,Yes,18,3,1,80,0,12,3,2,1,0,0,0
+33,No,Travel_Frequently,508,Sales,10,3,Marketing,1,446,2,Male,46,2,2,Sales Executive,4,Single,4682,4317,3,Y,No,14,3,3,80,0,9,6,2,7,7,0,1
+47,No,Travel_Rarely,1482,Research & Development,5,5,Life Sciences,1,447,4,Male,42,3,5,Research Director,3,Married,18300,16375,4,Y,No,11,3,2,80,1,21,2,3,3,2,1,1
+43,No,Travel_Frequently,559,Research & Development,10,4,Life Sciences,1,448,3,Female,82,2,2,Laboratory Technician,3,Divorced,5257,6227,1,Y,No,11,3,2,80,1,9,3,4,9,7,0,0
+27,No,Non-Travel,210,Sales,1,1,Marketing,1,449,3,Male,73,3,2,Sales Executive,2,Married,6349,22107,0,Y,Yes,13,3,4,80,1,6,0,3,5,4,1,4
+54,No,Travel_Frequently,928,Research & Development,20,4,Life Sciences,1,450,4,Female,31,3,2,Research Scientist,3,Single,4869,16885,3,Y,No,12,3,4,80,0,20,4,2,4,3,0,3
+43,No,Travel_Rarely,1001,Research & Development,7,3,Life Sciences,1,451,3,Female,43,3,3,Healthcare Representative,1,Married,9985,9262,8,Y,No,16,3,1,80,1,10,1,2,1,0,0,0
+45,No,Travel_Rarely,549,Research & Development,8,4,Other,1,452,4,Male,75,3,2,Research Scientist,4,Married,3697,9278,9,Y,No,14,3,1,80,2,12,3,3,10,9,9,8
+40,No,Travel_Rarely,1124,Sales,1,2,Medical,1,453,2,Male,57,1,2,Sales Executive,4,Married,7457,13273,2,Y,Yes,22,4,3,80,3,6,2,2,4,3,0,2
+29,Yes,Travel_Rarely,318,Research & Development,8,4,Other,1,454,2,Male,77,1,1,Laboratory Technician,1,Married,2119,4759,1,Y,Yes,11,3,4,80,0,7,4,2,7,7,0,7
+29,No,Travel_Rarely,738,Research & Development,9,5,Other,1,455,2,Male,30,2,1,Laboratory Technician,4,Single,3983,7621,0,Y,No,17,3,3,80,0,4,2,3,3,2,2,2
+30,No,Travel_Rarely,570,Sales,5,3,Marketing,1,456,4,Female,30,2,2,Sales Executive,3,Divorced,6118,5431,1,Y,No,13,3,3,80,3,10,2,3,10,9,1,2
+27,No,Travel_Rarely,1130,Sales,8,4,Marketing,1,458,2,Female,56,3,2,Sales Executive,2,Married,6214,3415,1,Y,No,18,3,1,80,1,8,3,3,8,7,0,7
+37,No,Travel_Rarely,1192,Research & Development,5,2,Medical,1,460,4,Male,61,3,2,Manufacturing Director,4,Divorced,6347,23177,7,Y,No,16,3,3,80,2,8,2,2,6,2,0,4
+38,No,Travel_Rarely,343,Research & Development,15,2,Life Sciences,1,461,3,Male,92,2,3,Research Director,4,Divorced,11510,15682,0,Y,Yes,14,3,2,80,1,12,3,3,11,10,2,9
+31,No,Travel_Rarely,1232,Research & Development,7,4,Medical,1,462,3,Female,39,3,3,Manufacturing Director,4,Single,7143,25713,1,Y,Yes,14,3,3,80,0,11,2,2,11,9,4,10
+29,No,Travel_Rarely,144,Sales,10,1,Marketing,1,463,4,Female,39,2,2,Sales Executive,2,Divorced,8268,11866,1,Y,Yes,14,3,1,80,2,7,2,3,7,7,1,7
+35,No,Travel_Rarely,1296,Research & Development,5,4,Technical Degree,1,464,3,Male,62,3,3,Manufacturing Director,2,Single,8095,18264,0,Y,No,13,3,4,80,0,17,5,3,16,6,0,13
+23,No,Travel_Rarely,1309,Research & Development,26,1,Life Sciences,1,465,3,Male,83,3,1,Research Scientist,4,Divorced,2904,16092,1,Y,No,12,3,3,80,2,4,2,2,4,2,0,2
+41,No,Travel_Rarely,483,Research & Development,6,3,Medical,1,466,4,Male,95,2,2,Manufacturing Director,2,Single,6032,10110,6,Y,Yes,15,3,4,80,0,8,3,3,5,4,1,2
+47,No,Travel_Frequently,1309,Sales,4,1,Medical,1,467,2,Male,99,3,2,Sales Representative,3,Single,2976,25751,3,Y,No,19,3,1,80,0,5,3,3,0,0,0,0
+42,No,Travel_Rarely,810,Research & Development,23,5,Life Sciences,1,468,1,Female,44,3,4,Research Director,4,Single,15992,15901,2,Y,No,14,3,2,80,0,16,2,3,1,0,0,0
+29,No,Non-Travel,746,Sales,2,3,Life Sciences,1,469,4,Male,61,3,2,Sales Executive,3,Married,4649,16928,1,Y,No,14,3,1,80,1,4,3,2,4,3,0,2
+42,No,Travel_Rarely,544,Human Resources,2,1,Technical Degree,1,470,3,Male,52,3,1,Human Resources,3,Divorced,2696,24017,0,Y,Yes,11,3,3,80,1,4,5,3,3,2,1,0
+32,No,Travel_Rarely,1062,Research & Development,2,3,Medical,1,471,3,Female,75,3,1,Laboratory Technician,2,Married,2370,3956,1,Y,No,13,3,3,80,1,8,4,3,8,0,0,7
+48,No,Travel_Rarely,530,Sales,29,1,Medical,1,473,1,Female,91,3,3,Manager,3,Married,12504,23978,3,Y,No,21,4,2,80,1,15,3,1,0,0,0,0
+37,No,Travel_Rarely,1319,Research & Development,6,3,Medical,1,474,3,Male,51,4,2,Research Scientist,1,Divorced,5974,17001,4,Y,Yes,13,3,1,80,2,13,2,3,7,7,6,7
+30,No,Non-Travel,641,Sales,25,2,Technical Degree,1,475,4,Female,85,3,2,Sales Executive,3,Married,4736,6069,7,Y,Yes,12,3,2,80,1,4,2,4,2,2,2,2
+26,No,Travel_Rarely,933,Sales,1,3,Life Sciences,1,476,3,Male,57,3,2,Sales Executive,3,Married,5296,20156,1,Y,No,17,3,2,80,1,8,3,3,8,7,7,7
+42,No,Travel_Rarely,1332,Research & Development,2,4,Other,1,477,1,Male,98,2,2,Healthcare Representative,4,Single,6781,17078,3,Y,No,23,4,2,80,0,14,6,3,1,0,0,0
+21,Yes,Travel_Frequently,756,Sales,1,1,Technical Degree,1,478,1,Female,99,2,1,Sales Representative,2,Single,2174,9150,1,Y,Yes,11,3,3,80,0,3,3,3,3,2,1,2
+36,No,Non-Travel,845,Sales,1,5,Medical,1,479,4,Female,45,3,2,Sales Executive,4,Single,6653,15276,4,Y,No,15,3,2,80,0,7,6,3,1,0,0,0
+36,No,Travel_Frequently,541,Sales,3,4,Medical,1,481,1,Male,48,2,3,Sales Executive,4,Married,9699,7246,4,Y,No,11,3,1,80,1,16,2,3,13,9,1,12
+57,No,Travel_Rarely,593,Research & Development,1,4,Medical,1,482,4,Male,88,3,2,Healthcare Representative,3,Married,6755,2967,2,Y,No,11,3,3,80,0,15,2,3,3,2,1,2
+40,No,Travel_Rarely,1171,Research & Development,10,4,Life Sciences,1,483,4,Female,46,4,1,Laboratory Technician,3,Married,2213,22495,3,Y,Yes,13,3,3,80,1,10,3,3,7,7,1,7
+21,No,Non-Travel,895,Sales,9,2,Medical,1,484,1,Male,39,3,1,Sales Representative,4,Single,2610,2851,1,Y,No,24,4,3,80,0,3,3,2,3,2,2,2
+33,Yes,Travel_Rarely,350,Sales,5,3,Marketing,1,485,4,Female,34,3,1,Sales Representative,3,Single,2851,9150,1,Y,Yes,13,3,2,80,0,1,2,3,1,0,0,0
+37,No,Travel_Rarely,921,Research & Development,10,3,Medical,1,486,3,Female,98,3,1,Laboratory Technician,1,Married,3452,17663,6,Y,No,20,4,2,80,1,17,3,3,5,4,0,3
+46,No,Non-Travel,1144,Research & Development,7,4,Medical,1,487,3,Female,30,3,2,Manufacturing Director,3,Married,5258,16044,2,Y,No,14,3,3,80,0,7,2,4,1,0,0,0
+41,Yes,Travel_Frequently,143,Sales,4,3,Marketing,1,488,1,Male,56,3,2,Sales Executive,2,Single,9355,9558,1,Y,No,18,3,3,80,0,8,5,3,8,7,7,7
+50,No,Travel_Rarely,1046,Research & Development,10,3,Technical Degree,1,491,4,Male,100,2,3,Healthcare Representative,4,Single,10496,2755,6,Y,No,15,3,4,80,0,20,2,3,4,3,1,3
+40,Yes,Travel_Rarely,575,Sales,22,2,Marketing,1,492,3,Male,68,2,2,Sales Executive,3,Married,6380,6110,2,Y,Yes,12,3,1,80,2,8,6,3,6,4,1,0
+31,No,Travel_Rarely,408,Research & Development,9,4,Life Sciences,1,493,3,Male,42,2,1,Research Scientist,2,Single,2657,7551,0,Y,Yes,16,3,4,80,0,3,5,3,2,2,2,2
+21,Yes,Travel_Rarely,156,Sales,12,3,Life Sciences,1,494,3,Female,90,4,1,Sales Representative,2,Single,2716,25422,1,Y,No,15,3,4,80,0,1,0,3,1,0,0,0
+29,No,Travel_Rarely,1283,Research & Development,23,3,Life Sciences,1,495,4,Male,54,3,1,Research Scientist,4,Single,2201,18168,9,Y,No,16,3,4,80,0,6,4,3,3,2,1,2
+35,No,Travel_Rarely,755,Research & Development,9,4,Life Sciences,1,496,3,Male,97,2,2,Healthcare Representative,2,Single,6540,19394,9,Y,No,19,3,3,80,0,10,5,3,1,1,0,0
+27,No,Travel_Rarely,1469,Research & Development,1,2,Medical,1,497,4,Male,82,3,1,Laboratory Technician,2,Divorced,3816,17881,1,Y,No,11,3,2,80,1,5,2,3,5,2,0,4
+28,No,Travel_Rarely,304,Sales,9,4,Life Sciences,1,498,2,Male,92,3,2,Sales Executive,4,Single,5253,20750,1,Y,No,16,3,4,80,0,7,1,3,7,5,0,7
+49,No,Travel_Rarely,1261,Research & Development,7,3,Other,1,499,2,Male,31,2,3,Healthcare Representative,3,Single,10965,12066,8,Y,No,24,4,3,80,0,26,2,3,5,2,0,0
+51,No,Travel_Rarely,1178,Sales,14,2,Life Sciences,1,500,3,Female,87,3,2,Sales Executive,4,Married,4936,14862,4,Y,No,11,3,3,80,1,18,2,2,7,7,0,7
+36,No,Travel_Rarely,329,Research & Development,2,3,Life Sciences,1,501,4,Female,96,3,1,Research Scientist,3,Married,2543,11868,4,Y,No,13,3,2,80,1,6,3,3,2,2,2,2
+34,Yes,Non-Travel,1362,Sales,19,3,Marketing,1,502,1,Male,67,4,2,Sales Executive,4,Single,5304,4652,8,Y,Yes,13,3,2,80,0,9,3,2,5,2,0,4
+55,No,Travel_Rarely,1311,Research & Development,2,3,Life Sciences,1,505,3,Female,97,3,4,Manager,4,Single,16659,23258,2,Y,Yes,13,3,3,80,0,30,2,3,5,4,1,2
+24,No,Travel_Rarely,1371,Sales,10,4,Marketing,1,507,4,Female,77,3,2,Sales Executive,3,Divorced,4260,5915,1,Y,Yes,12,3,4,80,1,5,2,4,5,2,0,3
+30,No,Travel_Rarely,202,Sales,2,1,Technical Degree,1,508,3,Male,72,3,1,Sales Representative,2,Married,2476,17434,1,Y,No,18,3,1,80,1,1,3,3,1,0,0,0
+26,Yes,Travel_Frequently,575,Research & Development,3,1,Technical Degree,1,510,3,Male,73,3,1,Research Scientist,1,Single,3102,6582,0,Y,No,22,4,3,80,0,7,2,3,6,4,0,4
+22,No,Travel_Rarely,253,Research & Development,11,3,Medical,1,511,1,Female,43,3,1,Research Scientist,2,Married,2244,24440,1,Y,No,13,3,4,80,1,2,1,3,2,1,1,2
+36,No,Travel_Rarely,164,Sales,2,2,Medical,1,513,2,Male,61,2,3,Sales Executive,3,Married,7596,3809,1,Y,No,13,3,2,80,2,10,2,3,10,9,9,0
+30,Yes,Travel_Frequently,464,Research & Development,4,3,Technical Degree,1,514,3,Male,40,3,1,Research Scientist,4,Single,2285,3427,9,Y,Yes,23,4,3,80,0,3,4,3,1,0,0,0
+37,No,Travel_Rarely,1107,Research & Development,14,3,Life Sciences,1,515,4,Female,95,3,1,Laboratory Technician,1,Divorced,3034,26914,1,Y,No,12,3,3,80,1,18,2,2,18,7,12,17
+40,No,Travel_Rarely,759,Sales,2,2,Marketing,1,516,4,Female,46,3,2,Sales Executive,2,Divorced,5715,22553,7,Y,No,12,3,3,80,2,8,5,3,5,4,1,3
+42,No,Travel_Rarely,201,Research & Development,1,4,Life Sciences,1,517,2,Female,95,3,1,Laboratory Technician,1,Divorced,2576,20490,3,Y,No,16,3,2,80,1,8,5,3,5,2,1,2
+37,No,Travel_Rarely,1305,Research & Development,10,4,Life Sciences,1,518,3,Male,49,3,2,Manufacturing Director,2,Single,4197,21123,2,Y,Yes,12,3,4,80,0,18,2,2,1,0,0,1
+43,No,Travel_Rarely,982,Research & Development,12,3,Life Sciences,1,520,1,Male,59,2,4,Research Director,2,Divorced,14336,4345,1,Y,No,11,3,3,80,1,25,3,3,25,10,3,9
+40,No,Travel_Rarely,555,Research & Development,2,3,Medical,1,521,2,Female,78,2,2,Laboratory Technician,3,Married,3448,13436,6,Y,No,22,4,2,80,1,20,3,3,1,0,0,0
+54,No,Travel_Rarely,821,Research & Development,5,2,Medical,1,522,1,Male,86,3,5,Research Director,1,Married,19406,8509,4,Y,No,11,3,3,80,1,24,4,2,4,2,1,2
+34,No,Non-Travel,1381,Sales,4,4,Marketing,1,523,3,Female,72,3,2,Sales Executive,3,Married,6538,12740,9,Y,No,15,3,1,80,1,6,3,3,3,2,1,2
+31,No,Travel_Rarely,480,Research & Development,7,2,Medical,1,524,2,Female,31,3,2,Manufacturing Director,1,Married,4306,4156,1,Y,No,12,3,2,80,1,13,5,1,13,10,3,12
+43,No,Travel_Frequently,313,Research & Development,21,3,Medical,1,525,4,Male,61,3,1,Laboratory Technician,4,Married,2258,15238,7,Y,No,20,4,1,80,1,8,1,3,3,2,1,2
+43,No,Travel_Rarely,1473,Research & Development,8,4,Other,1,526,3,Female,74,3,2,Healthcare Representative,3,Divorced,4522,2227,4,Y,Yes,14,3,4,80,0,8,3,3,5,2,0,2
+25,No,Travel_Rarely,891,Sales,4,2,Life Sciences,1,527,2,Female,99,2,2,Sales Executive,4,Single,4487,12090,1,Y,Yes,11,3,2,80,0,5,3,3,5,4,1,3
+37,No,Non-Travel,1063,Research & Development,25,5,Medical,1,529,2,Female,72,3,2,Research Scientist,3,Married,4449,23866,3,Y,Yes,15,3,1,80,2,15,2,3,13,11,10,7
+31,No,Travel_Rarely,329,Research & Development,1,2,Life Sciences,1,530,4,Male,98,2,1,Laboratory Technician,1,Married,2218,16193,1,Y,No,12,3,3,80,1,4,3,3,4,2,3,2
+39,No,Travel_Frequently,1218,Research & Development,1,1,Life Sciences,1,531,2,Male,52,3,5,Manager,3,Divorced,19197,8213,1,Y,Yes,14,3,3,80,1,21,3,3,21,8,1,6
+56,No,Travel_Frequently,906,Sales,6,3,Life Sciences,1,532,3,Female,86,4,4,Sales Executive,1,Married,13212,18256,9,Y,No,11,3,4,80,3,36,0,2,7,7,7,7
+30,No,Travel_Rarely,1082,Sales,12,3,Technical Degree,1,533,2,Female,83,3,2,Sales Executive,3,Single,6577,19558,0,Y,No,11,3,2,80,0,6,6,3,5,4,4,4
+41,No,Travel_Rarely,645,Sales,1,3,Marketing,1,534,2,Male,49,4,3,Sales Executive,1,Married,8392,19566,1,Y,No,16,3,3,80,1,10,2,3,10,7,0,7
+28,No,Travel_Rarely,1300,Research & Development,17,2,Medical,1,536,3,Male,79,3,2,Laboratory Technician,1,Divorced,4558,13535,1,Y,No,12,3,4,80,1,10,2,3,10,0,1,8
+25,Yes,Travel_Rarely,688,Research & Development,3,3,Medical,1,538,1,Male,91,3,1,Laboratory Technician,1,Married,4031,9396,5,Y,No,13,3,3,80,1,6,5,3,2,2,0,2
+52,No,Travel_Rarely,319,Research & Development,3,3,Medical,1,543,4,Male,39,2,3,Manufacturing Director,3,Married,7969,19609,2,Y,Yes,14,3,3,80,0,28,4,3,5,4,0,4
+45,No,Travel_Rarely,192,Research & Development,10,2,Life Sciences,1,544,1,Male,69,3,1,Research Scientist,4,Married,2654,9655,3,Y,No,21,4,4,80,2,8,3,2,2,2,0,2
+52,No,Travel_Rarely,1490,Research & Development,4,2,Life Sciences,1,546,4,Female,30,3,4,Manager,4,Married,16555,10310,2,Y,No,13,3,4,80,0,31,2,1,5,2,1,4
+42,No,Travel_Frequently,532,Research & Development,29,2,Life Sciences,1,547,1,Female,92,3,2,Research Scientist,3,Divorced,4556,12932,2,Y,No,11,3,2,80,1,19,3,3,5,4,0,2
+30,No,Travel_Rarely,317,Research & Development,2,3,Life Sciences,1,548,3,Female,43,1,2,Manufacturing Director,4,Single,6091,24793,2,Y,No,20,4,3,80,0,11,2,3,5,4,0,2
+60,No,Travel_Rarely,422,Research & Development,7,3,Life Sciences,1,549,1,Female,41,3,5,Manager,1,Married,19566,3854,5,Y,No,11,3,4,80,0,33,5,1,29,8,11,10
+46,No,Travel_Rarely,1485,Research & Development,18,3,Medical,1,550,3,Female,87,3,2,Manufacturing Director,3,Divorced,4810,26314,2,Y,No,14,3,3,80,1,19,5,2,10,7,0,8
+42,No,Travel_Frequently,1368,Research & Development,28,4,Technical Degree,1,551,4,Female,88,2,2,Healthcare Representative,4,Married,4523,4386,0,Y,No,11,3,4,80,3,7,4,4,6,5,0,4
+24,Yes,Travel_Rarely,1448,Sales,1,1,Technical Degree,1,554,1,Female,62,3,1,Sales Representative,2,Single,3202,21972,1,Y,Yes,16,3,2,80,0,6,4,3,5,3,1,4
+34,Yes,Travel_Frequently,296,Sales,6,2,Marketing,1,555,4,Female,33,1,1,Sales Representative,3,Divorced,2351,12253,0,Y,No,16,3,4,80,1,3,3,2,2,2,1,0
+38,No,Travel_Frequently,1490,Research & Development,2,2,Life Sciences,1,556,4,Male,42,3,1,Laboratory Technician,4,Married,1702,12106,1,Y,Yes,23,4,3,80,1,1,3,3,1,0,0,0
+40,No,Travel_Rarely,1398,Sales,2,4,Life Sciences,1,558,3,Female,79,3,5,Manager,3,Married,18041,13022,0,Y,No,14,3,4,80,0,21,2,3,20,15,1,12
+26,No,Travel_Rarely,1349,Research & Development,23,3,Life Sciences,1,560,1,Female,90,3,1,Research Scientist,4,Divorced,2886,3032,1,Y,No,22,4,2,80,2,3,3,1,3,2,0,2
+30,No,Non-Travel,1400,Research & Development,3,3,Life Sciences,1,562,3,Male,53,3,1,Laboratory Technician,4,Married,2097,16734,4,Y,No,15,3,3,80,1,9,3,1,5,3,1,4
+29,No,Travel_Rarely,986,Research & Development,3,4,Medical,1,564,2,Male,93,2,3,Research Director,3,Married,11935,21526,1,Y,No,18,3,3,80,0,10,2,3,10,2,0,7
+29,Yes,Travel_Rarely,408,Research & Development,25,5,Technical Degree,1,565,3,Female,71,2,1,Research Scientist,2,Married,2546,18300,5,Y,No,16,3,2,80,0,6,2,4,2,2,1,1
+19,Yes,Travel_Rarely,489,Human Resources,2,2,Technical Degree,1,566,1,Male,52,2,1,Human Resources,4,Single,2564,18437,1,Y,No,12,3,3,80,0,1,3,4,1,0,0,0
+30,No,Non-Travel,1398,Sales,22,4,Other,1,567,3,Female,69,3,3,Sales Executive,1,Married,8412,2890,0,Y,No,11,3,3,80,0,10,3,3,9,8,7,8
+57,No,Travel_Rarely,210,Sales,29,3,Marketing,1,568,1,Male,56,2,4,Manager,4,Divorced,14118,22102,3,Y,No,12,3,3,80,1,32,3,2,1,0,0,0
+50,No,Travel_Rarely,1099,Research & Development,29,4,Life Sciences,1,569,2,Male,88,2,4,Manager,3,Married,17046,9314,0,Y,No,15,3,2,80,1,28,2,3,27,10,15,7
+30,No,Non-Travel,1116,Research & Development,2,3,Medical,1,571,3,Female,49,3,1,Laboratory Technician,4,Single,2564,7181,0,Y,No,14,3,3,80,0,12,2,2,11,7,6,7
+60,No,Travel_Frequently,1499,Sales,28,3,Marketing,1,573,3,Female,80,2,3,Sales Executive,1,Married,10266,2845,4,Y,No,19,3,4,80,0,22,5,4,18,13,13,11
+47,No,Travel_Rarely,983,Research & Development,2,2,Medical,1,574,1,Female,65,3,2,Manufacturing Director,4,Divorced,5070,7389,5,Y,No,13,3,3,80,3,20,2,3,5,0,0,4
+46,No,Travel_Rarely,1009,Research & Development,2,3,Life Sciences,1,575,1,Male,51,3,4,Research Director,3,Married,17861,2288,6,Y,No,13,3,3,80,0,26,2,1,3,2,0,1
+35,No,Travel_Rarely,144,Research & Development,22,3,Life Sciences,1,577,4,Male,46,1,1,Laboratory Technician,3,Single,4230,19225,0,Y,No,15,3,3,80,0,6,2,3,5,4,4,3
+54,No,Travel_Rarely,548,Research & Development,8,4,Life Sciences,1,578,3,Female,42,3,2,Laboratory Technician,3,Single,3780,23428,7,Y,No,11,3,3,80,0,19,3,3,1,0,0,0
+34,No,Travel_Rarely,1303,Research & Development,2,4,Life Sciences,1,579,4,Male,62,2,1,Research Scientist,3,Divorced,2768,8416,3,Y,No,12,3,3,80,1,14,3,3,7,3,5,7
+46,No,Travel_Rarely,1125,Sales,10,3,Marketing,1,580,3,Female,94,2,3,Sales Executive,4,Married,9071,11563,2,Y,Yes,19,3,3,80,1,15,3,3,3,2,1,2
+31,No,Travel_Rarely,1274,Research & Development,9,1,Life Sciences,1,581,3,Male,33,3,3,Manufacturing Director,2,Divorced,10648,14394,1,Y,No,25,4,4,80,1,13,6,4,13,8,0,8
+33,Yes,Travel_Rarely,1277,Research & Development,15,1,Medical,1,582,2,Male,56,3,3,Manager,3,Married,13610,24619,7,Y,Yes,12,3,4,80,0,15,2,4,7,6,7,7
+33,Yes,Travel_Rarely,587,Research & Development,10,1,Medical,1,584,1,Male,38,1,1,Laboratory Technician,4,Divorced,3408,6705,7,Y,No,13,3,1,80,3,8,2,3,4,3,1,3
+30,No,Travel_Rarely,413,Sales,7,1,Marketing,1,585,4,Male,57,3,1,Sales Representative,2,Single,2983,18398,0,Y,No,14,3,1,80,0,4,3,3,3,2,1,2
+35,No,Travel_Rarely,1276,Research & Development,16,3,Life Sciences,1,586,4,Male,72,3,3,Healthcare Representative,3,Married,7632,14295,4,Y,Yes,12,3,3,80,0,10,2,3,8,7,0,0
+31,Yes,Travel_Frequently,534,Research & Development,20,3,Life Sciences,1,587,1,Male,66,3,3,Healthcare Representative,3,Married,9824,22908,3,Y,No,12,3,1,80,0,12,2,3,1,0,0,0
+34,Yes,Travel_Frequently,988,Human Resources,23,3,Human Resources,1,590,2,Female,43,3,3,Human Resources,1,Divorced,9950,11533,9,Y,Yes,15,3,3,80,3,11,2,3,3,2,0,2
+42,No,Travel_Frequently,1474,Research & Development,5,2,Other,1,591,2,Male,97,3,1,Laboratory Technician,3,Married,2093,9260,4,Y,No,17,3,4,80,1,8,4,3,2,2,2,0
+36,No,Non-Travel,635,Sales,10,4,Medical,1,592,2,Male,32,3,3,Sales Executive,4,Single,9980,15318,1,Y,No,14,3,4,80,0,10,3,2,10,3,9,7
+22,Yes,Travel_Frequently,1368,Research & Development,4,1,Technical Degree,1,593,3,Male,99,2,1,Laboratory Technician,3,Single,3894,9129,5,Y,No,16,3,3,80,0,4,3,3,2,2,1,2
+48,No,Travel_Rarely,163,Sales,2,5,Marketing,1,595,2,Female,37,3,2,Sales Executive,4,Married,4051,19658,2,Y,No,14,3,1,80,1,14,2,3,9,7,6,7
+55,No,Travel_Rarely,1117,Sales,18,5,Life Sciences,1,597,1,Female,83,3,4,Manager,2,Single,16835,9873,3,Y,No,23,4,4,80,0,37,2,3,10,9,7,7
+41,No,Non-Travel,267,Sales,10,2,Life Sciences,1,599,4,Male,56,3,2,Sales Executive,4,Single,6230,13430,7,Y,No,14,3,4,80,0,16,3,3,14,3,1,10
+35,No,Travel_Rarely,619,Sales,1,3,Marketing,1,600,2,Male,85,3,2,Sales Executive,3,Married,4717,18659,9,Y,No,11,3,3,80,0,15,2,3,11,9,6,9
+40,No,Travel_Rarely,302,Research & Development,6,3,Life Sciences,1,601,2,Female,75,3,4,Manufacturing Director,3,Single,13237,20364,7,Y,No,15,3,3,80,0,22,3,3,20,6,5,13
+39,No,Travel_Frequently,443,Research & Development,8,1,Life Sciences,1,602,3,Female,48,3,1,Laboratory Technician,3,Married,3755,17872,1,Y,No,11,3,1,80,1,8,3,3,8,3,0,7
+31,No,Travel_Rarely,828,Sales,2,1,Life Sciences,1,604,2,Male,77,3,2,Sales Executive,4,Single,6582,8346,4,Y,Yes,13,3,3,80,0,10,2,4,6,5,0,5
+42,No,Travel_Rarely,319,Research & Development,24,3,Medical,1,605,4,Male,56,3,3,Manufacturing Director,1,Married,7406,6950,1,Y,Yes,21,4,4,80,1,10,5,2,10,9,5,8
+45,No,Travel_Rarely,561,Sales,2,3,Other,1,606,4,Male,61,3,2,Sales Executive,2,Married,4805,16177,0,Y,No,19,3,2,80,1,9,3,4,8,7,3,7
+26,Yes,Travel_Frequently,426,Human Resources,17,4,Life Sciences,1,608,2,Female,58,3,1,Human Resources,3,Divorced,2741,22808,0,Y,Yes,11,3,2,80,1,8,2,2,7,7,1,0
+29,No,Travel_Rarely,232,Research & Development,19,3,Technical Degree,1,611,4,Male,34,3,2,Manufacturing Director,4,Divorced,4262,22645,4,Y,No,12,3,2,80,2,8,2,4,3,2,1,2
+33,No,Travel_Rarely,922,Research & Development,1,5,Medical,1,612,1,Female,95,4,4,Research Director,3,Divorced,16184,22578,4,Y,No,19,3,3,80,1,10,2,3,6,1,0,5
+31,No,Travel_Rarely,688,Sales,7,3,Life Sciences,1,613,3,Male,44,2,3,Manager,4,Divorced,11557,25291,9,Y,No,21,4,3,80,1,10,3,2,5,4,0,1
+18,Yes,Travel_Frequently,1306,Sales,5,3,Marketing,1,614,2,Male,69,3,1,Sales Representative,2,Single,1878,8059,1,Y,Yes,14,3,4,80,0,0,3,3,0,0,0,0
+40,No,Non-Travel,1094,Sales,28,3,Other,1,615,3,Male,58,1,3,Sales Executive,1,Divorced,10932,11373,3,Y,No,15,3,3,80,1,20,2,3,1,0,0,1
+41,No,Non-Travel,509,Research & Development,2,4,Other,1,616,1,Female,62,2,2,Healthcare Representative,3,Single,6811,2112,2,Y,Yes,17,3,1,80,0,10,3,3,8,7,0,7
+26,No,Travel_Rarely,775,Sales,29,2,Medical,1,618,1,Male,45,3,2,Sales Executive,3,Divorced,4306,4267,5,Y,No,12,3,1,80,2,8,5,3,0,0,0,0
+35,No,Travel_Rarely,195,Sales,1,3,Medical,1,620,1,Female,80,3,2,Sales Executive,3,Single,4859,6698,1,Y,No,16,3,4,80,0,5,3,3,5,4,0,3
+34,No,Travel_Rarely,258,Sales,21,4,Life Sciences,1,621,4,Male,74,4,2,Sales Executive,4,Single,5337,19921,1,Y,No,12,3,4,80,0,10,3,3,10,7,5,7
+26,Yes,Travel_Rarely,471,Research & Development,24,3,Technical Degree,1,622,3,Male,66,1,1,Laboratory Technician,4,Single,2340,23213,1,Y,Yes,18,3,2,80,0,1,3,1,1,0,0,0
+37,No,Travel_Rarely,799,Research & Development,1,3,Technical Degree,1,623,2,Female,59,3,3,Manufacturing Director,4,Single,7491,23848,4,Y,No,17,3,4,80,0,12,3,4,6,5,1,2
+46,No,Travel_Frequently,1034,Research & Development,18,1,Medical,1,624,1,Female,86,3,3,Healthcare Representative,3,Married,10527,8984,5,Y,No,11,3,4,80,0,28,3,2,2,2,1,2
+41,No,Travel_Rarely,1276,Sales,2,5,Life Sciences,1,625,2,Female,91,3,4,Manager,1,Married,16595,5626,7,Y,No,16,3,2,80,1,22,2,3,18,16,11,8
+37,No,Non-Travel,142,Sales,9,4,Medical,1,626,1,Male,69,3,3,Sales Executive,2,Divorced,8834,24666,1,Y,No,13,3,4,80,1,9,6,3,9,5,7,7
+52,No,Travel_Rarely,956,Research & Development,6,2,Technical Degree,1,630,4,Male,78,3,2,Research Scientist,1,Divorced,5577,22087,3,Y,Yes,12,3,2,80,2,18,3,3,10,9,6,9
+32,Yes,Non-Travel,1474,Sales,11,4,Other,1,631,4,Male,60,4,2,Sales Executive,3,Married,4707,23914,8,Y,No,12,3,4,80,0,6,2,3,4,2,1,2
+24,No,Travel_Frequently,535,Sales,24,3,Medical,1,632,4,Male,38,3,1,Sales Representative,4,Married,2400,5530,0,Y,No,13,3,3,80,2,3,3,3,2,2,2,1
+38,No,Travel_Rarely,1495,Research & Development,10,3,Medical,1,634,3,Female,76,3,2,Healthcare Representative,3,Married,9824,22174,3,Y,No,19,3,3,80,1,18,4,3,1,0,0,0
+37,No,Travel_Rarely,446,Research & Development,1,4,Life Sciences,1,635,2,Female,65,3,2,Manufacturing Director,2,Married,6447,15701,6,Y,No,12,3,2,80,1,8,2,2,6,5,4,3
+49,No,Travel_Rarely,1245,Research & Development,18,4,Life Sciences,1,638,4,Male,58,2,5,Research Director,3,Divorced,19502,2125,1,Y,Yes,17,3,3,80,1,31,5,3,31,9,0,9
+24,No,Travel_Rarely,691,Research & Development,23,3,Medical,1,639,2,Male,89,4,1,Research Scientist,4,Married,2725,21630,1,Y,Yes,11,3,2,80,2,6,3,3,6,5,1,4
+26,No,Travel_Rarely,703,Sales,28,2,Marketing,1,641,1,Male,66,3,2,Sales Executive,2,Married,6272,7428,1,Y,No,20,4,4,80,2,6,5,4,5,3,1,4
+24,No,Travel_Rarely,823,Research & Development,17,2,Other,1,643,4,Male,94,2,1,Laboratory Technician,2,Married,2127,9100,1,Y,No,21,4,4,80,1,1,2,3,1,0,0,0
+50,No,Travel_Frequently,1246,Human Resources,3,3,Medical,1,644,1,Male,99,3,5,Manager,2,Married,18200,7999,1,Y,No,11,3,3,80,1,32,2,3,32,5,10,7
+25,No,Travel_Rarely,622,Sales,13,1,Medical,1,645,2,Male,40,3,1,Sales Representative,3,Married,2096,26376,1,Y,No,11,3,3,80,0,7,1,3,7,4,0,6
+24,Yes,Travel_Frequently,1287,Research & Development,7,3,Life Sciences,1,647,1,Female,55,3,1,Laboratory Technician,3,Married,2886,14168,1,Y,Yes,16,3,4,80,1,6,4,3,6,3,1,2
+30,Yes,Travel_Frequently,448,Sales,12,4,Life Sciences,1,648,2,Male,74,2,1,Sales Representative,1,Married,2033,14470,1,Y,No,18,3,3,80,1,1,2,4,1,0,0,0
+34,No,Travel_Rarely,254,Research & Development,1,2,Life Sciences,1,649,2,Male,83,2,1,Research Scientist,4,Married,3622,22794,1,Y,Yes,13,3,4,80,1,6,3,3,6,5,1,3
+31,Yes,Travel_Rarely,1365,Sales,13,4,Medical,1,650,2,Male,46,3,2,Sales Executive,1,Divorced,4233,11512,2,Y,No,17,3,3,80,0,9,2,1,3,1,1,2
+35,No,Travel_Rarely,538,Research & Development,25,2,Other,1,652,1,Male,54,2,2,Laboratory Technician,4,Single,3681,14004,4,Y,No,14,3,4,80,0,9,3,3,3,2,0,2
+31,No,Travel_Rarely,525,Sales,6,4,Medical,1,653,1,Male,66,4,2,Sales Executive,4,Divorced,5460,6219,4,Y,No,22,4,4,80,2,13,4,4,7,7,5,7
+27,No,Travel_Rarely,798,Research & Development,6,4,Medical,1,655,1,Female,66,2,1,Research Scientist,3,Divorced,2187,5013,0,Y,No,12,3,3,80,2,6,5,2,5,3,0,3
+37,No,Travel_Rarely,558,Sales,2,3,Marketing,1,656,4,Male,75,3,2,Sales Executive,3,Married,9602,3010,4,Y,Yes,11,3,3,80,1,17,3,2,3,0,1,0
+20,No,Travel_Rarely,959,Research & Development,1,3,Life Sciences,1,657,4,Female,83,2,1,Research Scientist,2,Single,2836,11757,1,Y,No,13,3,4,80,0,1,0,4,1,0,0,0
+42,No,Travel_Rarely,622,Research & Development,2,4,Life Sciences,1,659,3,Female,81,3,2,Healthcare Representative,4,Married,4089,5718,1,Y,No,13,3,2,80,2,10,4,3,10,2,2,2
+43,No,Travel_Rarely,782,Research & Development,6,4,Other,1,661,2,Male,50,2,4,Research Director,4,Divorced,16627,2671,4,Y,Yes,14,3,3,80,1,21,3,2,1,0,0,0
+38,No,Travel_Rarely,362,Research & Development,1,1,Life Sciences,1,662,3,Female,43,3,1,Research Scientist,1,Single,2619,14561,3,Y,No,17,3,4,80,0,8,3,2,0,0,0,0
+43,No,Travel_Frequently,1001,Research & Development,9,5,Medical,1,663,4,Male,72,3,2,Laboratory Technician,3,Divorced,5679,19627,3,Y,Yes,13,3,2,80,1,10,3,3,8,7,4,7
+48,No,Travel_Rarely,1236,Research & Development,1,4,Life Sciences,1,664,4,Female,40,2,4,Manager,1,Married,15402,17997,7,Y,No,11,3,1,80,1,21,3,1,3,2,0,2
+44,No,Travel_Rarely,1112,Human Resources,1,4,Life Sciences,1,665,1,Female,50,2,2,Human Resources,3,Single,5985,26894,4,Y,No,11,3,2,80,0,10,1,4,2,2,0,2
+34,No,Travel_Rarely,204,Sales,14,3,Technical Degree,1,666,3,Female,31,3,1,Sales Representative,3,Divorced,2579,2912,1,Y,Yes,18,3,4,80,2,8,3,3,8,2,0,6
+27,Yes,Travel_Rarely,1420,Sales,2,1,Marketing,1,667,3,Male,85,3,1,Sales Representative,1,Divorced,3041,16346,0,Y,No,11,3,2,80,1,5,3,3,4,3,0,2
+21,No,Travel_Rarely,1343,Sales,22,1,Technical Degree,1,669,3,Male,49,3,1,Sales Representative,3,Single,3447,24444,1,Y,No,11,3,3,80,0,3,2,3,3,2,1,2
+44,No,Travel_Rarely,1315,Research & Development,3,4,Other,1,671,4,Male,35,3,5,Manager,4,Married,19513,9358,4,Y,Yes,12,3,1,80,1,26,2,4,2,2,0,1
+22,No,Travel_Rarely,604,Research & Development,6,1,Medical,1,675,1,Male,69,3,1,Research Scientist,3,Married,2773,12145,0,Y,No,20,4,4,80,0,3,3,3,2,2,2,2
+33,No,Travel_Rarely,1216,Sales,8,4,Marketing,1,677,3,Male,39,3,2,Sales Executive,3,Divorced,7104,20431,0,Y,No,12,3,4,80,0,6,3,3,5,0,1,2
+32,No,Travel_Rarely,646,Research & Development,9,4,Life Sciences,1,679,1,Female,92,3,2,Research Scientist,4,Married,6322,18089,1,Y,Yes,12,3,4,80,1,6,2,2,6,4,0,5
+30,No,Travel_Frequently,160,Research & Development,3,3,Medical,1,680,3,Female,71,3,1,Research Scientist,3,Divorced,2083,22653,1,Y,No,20,4,3,80,1,1,2,3,1,0,0,0
+53,No,Travel_Rarely,238,Sales,1,1,Medical,1,682,4,Female,34,3,2,Sales Executive,1,Single,8381,7507,7,Y,No,20,4,4,80,0,18,2,4,14,7,8,10
+34,No,Travel_Rarely,1397,Research & Development,1,5,Life Sciences,1,683,2,Male,42,3,1,Research Scientist,4,Married,2691,7660,1,Y,No,12,3,4,80,1,10,4,2,10,9,8,8
+45,Yes,Travel_Frequently,306,Sales,26,4,Life Sciences,1,684,1,Female,100,3,2,Sales Executive,1,Married,4286,5630,2,Y,No,14,3,4,80,2,5,4,3,1,1,0,0
+26,No,Travel_Rarely,991,Research & Development,6,3,Life Sciences,1,686,3,Female,71,3,1,Laboratory Technician,4,Married,2659,17759,1,Y,Yes,13,3,3,80,1,3,2,3,3,2,0,2
+37,No,Travel_Rarely,482,Research & Development,3,3,Other,1,689,3,Male,36,3,3,Manufacturing Director,3,Married,9434,9606,1,Y,No,15,3,3,80,1,10,2,3,10,7,7,8
+29,No,Travel_Rarely,1176,Sales,3,2,Medical,1,690,2,Female,62,3,2,Sales Executive,3,Married,5561,3487,1,Y,No,14,3,1,80,1,6,5,2,6,0,1,2
+35,No,Travel_Rarely,1017,Research & Development,6,4,Life Sciences,1,691,2,Male,82,1,2,Research Scientist,4,Single,6646,19368,1,Y,No,13,3,2,80,0,17,3,3,17,11,11,8
+33,No,Travel_Frequently,1296,Research & Development,6,3,Life Sciences,1,692,3,Male,30,3,2,Healthcare Representative,4,Divorced,7725,5335,3,Y,No,23,4,3,80,1,15,2,1,13,11,4,7
+54,No,Travel_Rarely,397,Human Resources,19,4,Medical,1,698,3,Male,88,3,3,Human Resources,2,Married,10725,6729,2,Y,No,15,3,3,80,1,16,1,4,9,7,7,1
+36,No,Travel_Rarely,913,Research & Development,9,2,Medical,1,699,2,Male,48,2,2,Manufacturing Director,2,Divorced,8847,13934,2,Y,Yes,11,3,3,80,1,13,2,3,3,2,0,2
+27,No,Travel_Rarely,1115,Research & Development,3,4,Medical,1,700,1,Male,54,2,1,Research Scientist,4,Single,2045,15174,0,Y,No,13,3,4,80,0,5,0,3,4,2,1,1
+20,Yes,Travel_Rarely,1362,Research & Development,10,1,Medical,1,701,4,Male,32,3,1,Research Scientist,3,Single,1009,26999,1,Y,Yes,11,3,4,80,0,1,5,3,1,0,1,1
+33,Yes,Travel_Frequently,1076,Research & Development,3,3,Life Sciences,1,702,1,Male,70,3,1,Research Scientist,1,Single,3348,3164,1,Y,Yes,11,3,1,80,0,10,3,3,10,8,9,7
+35,No,Non-Travel,727,Research & Development,3,3,Life Sciences,1,704,3,Male,41,2,1,Laboratory Technician,3,Married,1281,16900,1,Y,No,18,3,3,80,2,1,3,3,1,0,0,0
+23,No,Travel_Rarely,885,Research & Development,4,3,Medical,1,705,1,Male,58,4,1,Research Scientist,1,Married,2819,8544,2,Y,No,16,3,1,80,1,5,3,4,3,2,0,2
+25,No,Travel_Rarely,810,Sales,8,3,Life Sciences,1,707,4,Male,57,4,2,Sales Executive,2,Married,4851,15678,0,Y,No,22,4,3,80,1,4,4,3,3,2,1,2
+38,No,Travel_Rarely,243,Sales,7,4,Marketing,1,709,4,Female,46,2,2,Sales Executive,4,Single,4028,7791,0,Y,No,20,4,1,80,0,8,2,3,7,7,0,5
+29,No,Travel_Frequently,806,Research & Development,1,4,Life Sciences,1,710,2,Male,76,1,1,Research Scientist,4,Divorced,2720,18959,1,Y,No,18,3,4,80,1,10,5,3,10,7,2,8
+48,No,Travel_Rarely,817,Sales,2,1,Marketing,1,712,2,Male,56,4,2,Sales Executive,2,Married,8120,18597,3,Y,No,12,3,4,80,0,12,3,3,2,2,2,2
+27,No,Travel_Frequently,1410,Sales,3,1,Medical,1,714,4,Female,71,4,2,Sales Executive,4,Divorced,4647,16673,1,Y,Yes,20,4,2,80,2,6,3,3,6,5,0,4
+37,No,Travel_Rarely,1225,Research & Development,10,2,Life Sciences,1,715,4,Male,80,4,1,Research Scientist,4,Single,4680,15232,3,Y,No,17,3,1,80,0,4,2,3,1,0,0,0
+50,No,Travel_Rarely,1207,Research & Development,28,1,Medical,1,716,4,Male,74,4,1,Laboratory Technician,3,Married,3221,3297,1,Y,Yes,11,3,3,80,3,20,3,3,20,8,3,8
+34,No,Travel_Rarely,1442,Research & Development,9,3,Medical,1,717,4,Female,46,2,3,Healthcare Representative,2,Single,8621,17654,1,Y,No,14,3,2,80,0,9,3,4,8,7,7,7
+24,Yes,Travel_Rarely,693,Sales,3,2,Life Sciences,1,720,1,Female,65,3,2,Sales Executive,3,Single,4577,24785,9,Y,No,14,3,1,80,0,4,3,3,2,2,2,0
+39,No,Travel_Rarely,408,Research & Development,2,4,Technical Degree,1,721,4,Female,80,2,2,Healthcare Representative,3,Single,4553,20978,1,Y,No,11,3,1,80,0,20,4,3,20,7,11,10
+32,No,Travel_Rarely,929,Sales,10,3,Marketing,1,722,4,Male,55,3,2,Sales Executive,4,Single,5396,21703,1,Y,No,12,3,4,80,0,10,2,2,10,7,0,8
+50,Yes,Travel_Frequently,562,Sales,8,2,Technical Degree,1,723,2,Male,50,3,2,Sales Executive,3,Married,6796,23452,3,Y,Yes,14,3,1,80,1,18,4,3,4,3,1,3
+38,No,Travel_Rarely,827,Research & Development,1,4,Life Sciences,1,724,2,Female,33,4,2,Healthcare Representative,4,Single,7625,19383,0,Y,No,13,3,3,80,0,10,4,2,9,7,1,8
+27,No,Travel_Rarely,608,Research & Development,1,2,Life Sciences,1,725,3,Female,68,3,3,Manufacturing Director,1,Married,7412,6009,1,Y,No,11,3,4,80,0,9,3,3,9,7,0,7
+32,No,Travel_Rarely,1018,Research & Development,3,2,Life Sciences,1,727,3,Female,39,3,3,Research Director,4,Single,11159,19373,3,Y,No,15,3,4,80,0,10,6,3,7,7,7,7
+47,No,Travel_Rarely,703,Sales,14,4,Marketing,1,728,4,Male,42,3,2,Sales Executive,1,Single,4960,11825,2,Y,No,12,3,4,80,0,20,2,3,7,7,1,7
+40,No,Travel_Frequently,580,Sales,5,4,Life Sciences,1,729,4,Male,48,2,3,Sales Executive,1,Married,10475,23772,5,Y,Yes,21,4,3,80,1,20,2,3,18,13,1,12
+53,No,Travel_Rarely,970,Research & Development,7,3,Life Sciences,1,730,3,Male,59,4,4,Research Director,3,Married,14814,13514,3,Y,No,19,3,3,80,0,32,3,3,5,1,1,3
+41,No,Travel_Rarely,427,Human Resources,10,4,Human Resources,1,731,2,Male,73,2,5,Manager,4,Divorced,19141,8861,3,Y,No,15,3,2,80,3,23,2,2,21,6,12,6
+60,No,Travel_Rarely,1179,Sales,16,4,Marketing,1,732,1,Male,84,3,2,Sales Executive,1,Single,5405,11924,8,Y,No,14,3,4,80,0,10,1,3,2,2,2,2
+27,No,Travel_Frequently,294,Research & Development,10,2,Life Sciences,1,733,4,Male,32,3,3,Manufacturing Director,1,Divorced,8793,4809,1,Y,No,21,4,3,80,2,9,4,2,9,7,1,7
+41,No,Travel_Rarely,314,Human Resources,1,3,Human Resources,1,734,4,Male,59,2,5,Manager,3,Married,19189,19562,1,Y,No,12,3,2,80,1,22,3,3,22,7,2,10
+50,No,Travel_Rarely,316,Sales,8,4,Marketing,1,738,4,Male,54,3,1,Sales Representative,2,Married,3875,9983,7,Y,No,15,3,4,80,1,4,2,3,2,2,2,2
+28,Yes,Travel_Rarely,654,Research & Development,1,2,Life Sciences,1,741,1,Female,67,1,1,Research Scientist,2,Single,2216,3872,7,Y,Yes,13,3,4,80,0,10,4,3,7,7,3,7
+36,No,Non-Travel,427,Research & Development,8,3,Life Sciences,1,742,1,Female,63,4,3,Research Director,1,Married,11713,20335,9,Y,No,14,3,1,80,1,10,2,3,8,7,0,5
+38,No,Travel_Rarely,168,Research & Development,1,3,Life Sciences,1,743,3,Female,81,3,3,Manufacturing Director,3,Single,7861,15397,4,Y,Yes,14,3,4,80,0,10,4,4,1,0,0,0
+44,No,Non-Travel,381,Research & Development,24,3,Medical,1,744,1,Male,49,1,1,Laboratory Technician,3,Single,3708,2104,2,Y,No,14,3,3,80,0,9,5,3,5,2,1,4
+47,No,Travel_Frequently,217,Sales,3,3,Medical,1,746,4,Female,49,3,4,Sales Executive,3,Divorced,13770,10225,9,Y,Yes,12,3,4,80,2,28,2,2,22,2,11,13
+30,No,Travel_Rarely,501,Sales,27,5,Marketing,1,747,3,Male,99,3,2,Sales Executive,4,Divorced,5304,25275,7,Y,No,23,4,4,80,1,10,2,2,8,7,7,7
+29,No,Travel_Rarely,1396,Sales,10,3,Life Sciences,1,749,3,Male,99,3,1,Sales Representative,3,Single,2642,2755,1,Y,No,11,3,3,80,0,1,6,3,1,0,0,0
+42,Yes,Travel_Frequently,933,Research & Development,19,3,Medical,1,752,3,Male,57,4,1,Research Scientist,3,Divorced,2759,20366,6,Y,Yes,12,3,4,80,0,7,2,3,2,2,2,2
+43,No,Travel_Frequently,775,Sales,15,3,Life Sciences,1,754,4,Male,47,2,2,Sales Executive,4,Married,6804,23683,3,Y,No,18,3,3,80,1,7,5,3,2,2,2,2
+34,No,Travel_Rarely,970,Research & Development,8,2,Medical,1,757,2,Female,96,3,2,Healthcare Representative,3,Single,6142,7360,3,Y,No,11,3,4,80,0,10,2,3,5,1,4,3
+23,No,Travel_Rarely,650,Research & Development,9,1,Medical,1,758,2,Male,37,3,1,Laboratory Technician,1,Married,2500,4344,1,Y,No,14,3,4,80,1,5,2,4,4,3,0,2
+39,No,Travel_Rarely,141,Human Resources,3,3,Human Resources,1,760,3,Female,44,4,2,Human Resources,2,Married,6389,18767,9,Y,No,15,3,3,80,1,12,3,1,8,3,3,6
+56,No,Travel_Rarely,832,Research & Development,9,3,Medical,1,762,3,Male,81,3,4,Healthcare Representative,4,Married,11103,20420,7,Y,No,11,3,3,80,0,30,1,2,10,7,1,1
+40,No,Travel_Rarely,804,Research & Development,2,1,Medical,1,763,4,Female,86,2,1,Research Scientist,4,Single,2342,22929,0,Y,Yes,20,4,4,80,0,5,2,2,4,2,2,3
+27,No,Travel_Rarely,975,Research & Development,7,3,Medical,1,764,4,Female,55,2,2,Healthcare Representative,1,Single,6811,23398,8,Y,No,19,3,1,80,0,9,2,1,7,6,0,7
+29,No,Travel_Rarely,1090,Sales,10,3,Marketing,1,766,4,Male,83,3,1,Sales Representative,2,Divorced,2297,17967,1,Y,No,14,3,4,80,2,2,2,3,2,2,2,2
+53,No,Travel_Rarely,346,Research & Development,6,3,Life Sciences,1,769,4,Male,86,3,2,Laboratory Technician,4,Single,2450,10919,2,Y,No,17,3,4,80,0,19,4,3,2,2,2,2
+35,No,Non-Travel,1225,Research & Development,2,4,Life Sciences,1,771,4,Female,61,3,2,Healthcare Representative,1,Divorced,5093,4761,2,Y,No,11,3,1,80,1,16,2,4,1,0,0,0
+32,No,Travel_Frequently,430,Research & Development,24,4,Life Sciences,1,772,1,Male,80,3,2,Laboratory Technician,4,Married,5309,21146,1,Y,No,15,3,4,80,2,10,2,3,10,8,4,7
+38,No,Travel_Rarely,268,Research & Development,2,5,Medical,1,773,4,Male,92,3,1,Research Scientist,3,Married,3057,20471,6,Y,Yes,13,3,2,80,1,6,0,1,1,0,0,1
+34,No,Travel_Rarely,167,Research & Development,8,5,Life Sciences,1,775,2,Female,32,3,2,Manufacturing Director,1,Divorced,5121,4187,3,Y,No,14,3,3,80,1,7,3,3,0,0,0,0
+52,No,Travel_Rarely,621,Sales,3,4,Marketing,1,776,3,Male,31,2,4,Manager,1,Married,16856,10084,1,Y,No,11,3,1,80,0,34,3,4,34,6,1,16
+33,Yes,Travel_Rarely,527,Research & Development,1,4,Other,1,780,4,Male,63,3,1,Research Scientist,4,Single,2686,5207,1,Y,Yes,13,3,3,80,0,10,2,2,10,9,7,8
+25,No,Travel_Rarely,883,Sales,26,1,Medical,1,781,3,Female,32,3,2,Sales Executive,4,Single,6180,22807,1,Y,No,23,4,2,80,0,6,5,2,6,5,1,4
+45,No,Travel_Rarely,954,Sales,2,2,Technical Degree,1,783,2,Male,46,1,2,Sales Representative,3,Single,6632,12388,0,Y,No,13,3,1,80,0,9,3,3,8,7,3,1
+23,No,Travel_Rarely,310,Research & Development,10,1,Medical,1,784,1,Male,79,4,1,Research Scientist,3,Single,3505,19630,1,Y,No,18,3,4,80,0,2,3,3,2,2,0,2
+47,Yes,Travel_Frequently,719,Sales,27,2,Life Sciences,1,785,2,Female,77,4,2,Sales Executive,3,Single,6397,10339,4,Y,Yes,12,3,4,80,0,8,2,3,5,4,1,3
+34,No,Travel_Rarely,304,Sales,2,3,Other,1,786,4,Male,60,3,2,Sales Executive,4,Single,6274,18686,1,Y,No,22,4,3,80,0,6,5,3,6,5,1,4
+55,Yes,Travel_Rarely,725,Research & Development,2,3,Medical,1,787,4,Male,78,3,5,Manager,1,Married,19859,21199,5,Y,Yes,13,3,4,80,1,24,2,3,5,2,1,4
+36,No,Non-Travel,1434,Sales,8,4,Life Sciences,1,789,1,Male,76,2,3,Sales Executive,1,Single,7587,14229,1,Y,No,15,3,2,80,0,10,1,3,10,7,0,9
+52,No,Non-Travel,715,Research & Development,19,4,Medical,1,791,4,Male,41,3,1,Research Scientist,4,Married,4258,26589,0,Y,No,18,3,1,80,1,5,3,3,4,3,1,2
+26,No,Travel_Frequently,575,Research & Development,1,2,Life Sciences,1,792,1,Female,71,1,1,Laboratory Technician,4,Divorced,4364,5288,3,Y,No,14,3,1,80,1,5,2,3,2,2,2,0
+29,No,Travel_Rarely,657,Research & Development,27,3,Medical,1,793,2,Female,66,3,2,Healthcare Representative,3,Married,4335,25549,4,Y,No,12,3,1,80,1,11,3,2,8,7,1,1
+26,Yes,Travel_Rarely,1146,Sales,8,3,Technical Degree,1,796,4,Male,38,2,2,Sales Executive,1,Single,5326,3064,6,Y,No,17,3,3,80,0,6,2,2,4,3,1,2
+34,No,Travel_Rarely,182,Research & Development,1,4,Life Sciences,1,797,2,Female,72,4,1,Research Scientist,4,Single,3280,13551,2,Y,No,16,3,3,80,0,10,2,3,4,2,1,3
+54,No,Travel_Rarely,376,Research & Development,19,4,Medical,1,799,4,Female,95,3,2,Manufacturing Director,1,Divorced,5485,22670,9,Y,Yes,11,3,2,80,2,9,4,3,5,3,1,4
+27,No,Travel_Frequently,829,Sales,8,1,Marketing,1,800,3,Male,84,3,2,Sales Executive,4,Married,4342,24008,0,Y,No,19,3,2,80,1,5,3,3,4,2,1,1
+37,No,Travel_Rarely,571,Research & Development,10,1,Life Sciences,1,802,4,Female,82,3,1,Research Scientist,1,Divorced,2782,19905,0,Y,Yes,13,3,2,80,2,6,3,2,5,3,4,3
+38,No,Travel_Frequently,240,Research & Development,2,4,Life Sciences,1,803,1,Female,75,4,2,Manufacturing Director,1,Single,5980,26085,6,Y,Yes,12,3,4,80,0,17,2,3,15,7,4,12
+34,No,Travel_Rarely,121,Research & Development,2,4,Medical,1,804,3,Female,86,2,1,Research Scientist,1,Single,4381,7530,1,Y,No,11,3,3,80,0,6,3,3,6,5,1,3
+35,No,Travel_Rarely,384,Sales,8,4,Life Sciences,1,805,1,Female,72,3,1,Sales Representative,4,Married,2572,20317,1,Y,No,16,3,2,80,1,3,1,2,3,2,0,2
+30,No,Travel_Rarely,921,Research & Development,1,3,Life Sciences,1,806,4,Male,38,1,1,Laboratory Technician,3,Married,3833,24375,3,Y,No,21,4,3,80,2,7,2,3,2,2,0,2
+40,No,Travel_Frequently,791,Research & Development,2,2,Medical,1,807,3,Female,38,4,2,Healthcare Representative,2,Married,4244,9931,1,Y,No,24,4,4,80,1,8,2,3,8,7,3,7
+34,No,Travel_Rarely,1111,Sales,8,2,Life Sciences,1,808,3,Female,93,3,2,Sales Executive,1,Married,6500,13305,5,Y,No,17,3,2,80,1,6,1,3,3,2,1,2
+42,No,Travel_Frequently,570,Research & Development,8,3,Life Sciences,1,809,2,Male,66,3,5,Manager,4,Divorced,18430,16225,1,Y,No,13,3,2,80,1,24,4,2,24,7,14,9
+23,Yes,Travel_Rarely,1243,Research & Development,6,3,Life Sciences,1,811,3,Male,63,4,1,Laboratory Technician,1,Married,1601,3445,1,Y,Yes,21,4,3,80,2,1,2,3,0,0,0,0
+24,No,Non-Travel,1092,Research & Development,9,3,Life Sciences,1,812,3,Male,60,2,1,Laboratory Technician,2,Divorced,2694,26551,1,Y,No,11,3,3,80,3,1,4,3,1,0,0,0
+52,No,Travel_Rarely,1325,Research & Development,11,4,Life Sciences,1,813,4,Female,82,3,2,Laboratory Technician,3,Married,3149,21821,8,Y,No,20,4,2,80,1,9,3,3,5,2,1,4
+50,No,Travel_Rarely,691,Research & Development,2,3,Medical,1,815,3,Male,64,3,4,Research Director,3,Married,17639,6881,5,Y,No,16,3,4,80,0,30,3,3,4,3,0,3
+29,Yes,Travel_Rarely,805,Research & Development,1,2,Life Sciences,1,816,2,Female,36,2,1,Laboratory Technician,1,Married,2319,6689,1,Y,Yes,11,3,4,80,1,1,1,3,1,0,0,0
+33,No,Travel_Rarely,213,Research & Development,7,3,Medical,1,817,3,Male,49,3,3,Research Director,3,Married,11691,25995,0,Y,No,11,3,4,80,0,14,3,4,13,9,3,7
+33,Yes,Travel_Rarely,118,Sales,16,3,Marketing,1,819,1,Female,69,3,2,Sales Executive,1,Single,5324,26507,5,Y,No,15,3,3,80,0,6,3,3,3,2,0,2
+47,No,Travel_Rarely,202,Research & Development,2,2,Other,1,820,3,Female,33,3,4,Manager,4,Married,16752,12982,1,Y,Yes,11,3,3,80,1,26,3,2,26,14,3,0
+36,No,Travel_Rarely,676,Research & Development,1,3,Other,1,823,3,Female,35,3,2,Manufacturing Director,2,Married,5228,23361,0,Y,No,15,3,1,80,1,10,2,3,9,7,0,5
+29,No,Travel_Rarely,1252,Research & Development,23,2,Life Sciences,1,824,3,Male,81,4,1,Research Scientist,3,Married,2700,23779,1,Y,No,24,4,3,80,1,10,3,3,10,7,0,7
+58,Yes,Travel_Rarely,286,Research & Development,2,4,Life Sciences,1,825,4,Male,31,3,5,Research Director,2,Single,19246,25761,7,Y,Yes,12,3,4,80,0,40,2,3,31,15,13,8
+35,No,Travel_Rarely,1258,Research & Development,1,4,Life Sciences,1,826,4,Female,40,4,1,Research Scientist,3,Single,2506,13301,3,Y,No,13,3,3,80,0,7,0,3,2,2,2,2
+42,No,Travel_Rarely,932,Research & Development,1,2,Life Sciences,1,827,4,Female,43,2,2,Manufacturing Director,4,Married,6062,4051,9,Y,Yes,13,3,4,80,1,8,4,3,4,3,0,2
+28,Yes,Travel_Rarely,890,Research & Development,2,4,Medical,1,828,3,Male,46,3,1,Research Scientist,3,Single,4382,16374,6,Y,No,17,3,4,80,0,5,3,2,2,2,2,1
+36,No,Travel_Rarely,1041,Human Resources,13,3,Human Resources,1,829,3,Male,36,3,1,Human Resources,2,Married,2143,25527,4,Y,No,13,3,2,80,1,8,2,3,5,2,0,4
+32,No,Travel_Rarely,859,Research & Development,4,3,Life Sciences,1,830,3,Female,98,2,2,Manufacturing Director,3,Married,6162,19124,1,Y,No,12,3,3,80,1,14,3,3,14,13,6,8
+40,No,Travel_Frequently,720,Research & Development,16,4,Medical,1,832,1,Male,51,2,2,Laboratory Technician,3,Single,5094,11983,6,Y,No,14,3,4,80,0,10,6,3,1,0,0,0
+30,No,Travel_Rarely,946,Research & Development,2,3,Medical,1,833,3,Female,52,2,2,Manufacturing Director,4,Single,6877,20234,5,Y,Yes,24,4,2,80,0,12,4,2,0,0,0,0
+45,No,Travel_Rarely,252,Research & Development,2,3,Life Sciences,1,834,2,Female,95,2,1,Research Scientist,3,Single,2274,6153,1,Y,No,14,3,4,80,0,1,3,3,1,0,0,0
+42,No,Travel_Rarely,933,Research & Development,29,3,Life Sciences,1,836,2,Male,98,3,2,Manufacturing Director,2,Married,4434,11806,1,Y,No,13,3,4,80,1,10,3,2,9,8,7,8
+38,No,Travel_Frequently,471,Research & Development,12,3,Life Sciences,1,837,1,Male,45,2,2,Healthcare Representative,1,Divorced,6288,4284,2,Y,No,15,3,3,80,1,13,3,2,4,3,1,2
+34,No,Travel_Frequently,702,Research & Development,16,4,Life Sciences,1,838,3,Female,100,2,1,Research Scientist,4,Single,2553,8306,1,Y,No,16,3,3,80,0,6,3,3,5,2,1,3
+49,Yes,Travel_Rarely,1184,Sales,11,3,Marketing,1,840,3,Female,43,3,3,Sales Executive,4,Married,7654,5860,1,Y,No,18,3,1,80,2,9,3,4,9,8,7,7
+55,Yes,Travel_Rarely,436,Sales,2,1,Medical,1,842,3,Male,37,3,2,Sales Executive,4,Single,5160,21519,4,Y,No,16,3,3,80,0,12,3,2,9,7,7,3
+43,No,Travel_Rarely,589,Research & Development,14,2,Life Sciences,1,843,2,Male,94,3,4,Research Director,1,Married,17159,5200,6,Y,No,24,4,3,80,1,22,3,3,4,1,1,0
+27,No,Travel_Rarely,269,Research & Development,5,1,Technical Degree,1,844,3,Male,42,2,3,Research Director,4,Divorced,12808,8842,1,Y,Yes,16,3,2,80,1,9,3,3,9,8,0,8
+35,No,Travel_Rarely,950,Research & Development,7,3,Other,1,845,3,Male,59,3,3,Manufacturing Director,3,Single,10221,18869,3,Y,No,21,4,2,80,0,17,3,4,8,5,1,6
+28,No,Travel_Rarely,760,Sales,2,4,Marketing,1,846,2,Female,81,3,2,Sales Executive,2,Married,4779,3698,1,Y,Yes,20,4,1,80,0,8,2,3,8,7,7,5
+34,No,Travel_Rarely,829,Human Resources,3,2,Human Resources,1,847,3,Male,88,3,1,Human Resources,4,Married,3737,2243,0,Y,No,19,3,3,80,1,4,1,1,3,2,0,2
+26,Yes,Travel_Frequently,887,Research & Development,5,2,Medical,1,848,3,Female,88,2,1,Research Scientist,3,Married,2366,20898,1,Y,Yes,14,3,1,80,1,8,2,3,8,7,1,7
+27,No,Non-Travel,443,Research & Development,3,3,Medical,1,850,4,Male,50,3,1,Research Scientist,4,Married,1706,16571,1,Y,No,11,3,3,80,3,0,6,2,0,0,0,0
+51,No,Travel_Rarely,1318,Sales,26,4,Marketing,1,851,1,Female,66,3,4,Manager,3,Married,16307,5594,2,Y,No,14,3,3,80,1,29,2,2,20,6,4,17
+44,No,Travel_Rarely,625,Research & Development,4,3,Medical,1,852,4,Male,50,3,2,Healthcare Representative,2,Single,5933,5197,9,Y,No,12,3,4,80,0,10,2,2,5,2,2,3
+25,No,Travel_Rarely,180,Research & Development,2,1,Medical,1,854,1,Male,65,4,1,Research Scientist,1,Single,3424,21632,7,Y,No,13,3,3,80,0,6,3,2,4,3,0,1
+33,No,Travel_Rarely,586,Sales,1,3,Medical,1,855,1,Male,48,4,2,Sales Executive,1,Divorced,4037,21816,1,Y,No,22,4,1,80,1,9,5,3,9,8,0,8
+35,No,Travel_Rarely,1343,Research & Development,27,1,Medical,1,856,3,Female,53,2,1,Research Scientist,1,Single,2559,17852,1,Y,No,11,3,4,80,0,6,3,2,6,5,1,1
+36,No,Travel_Rarely,928,Sales,1,2,Life Sciences,1,857,2,Male,56,3,2,Sales Executive,4,Married,6201,2823,1,Y,Yes,14,3,4,80,1,18,1,2,18,14,4,11
+32,No,Travel_Rarely,117,Sales,13,4,Life Sciences,1,859,2,Male,73,3,2,Sales Executive,4,Divorced,4403,9250,2,Y,No,11,3,3,80,1,8,3,2,5,2,0,3
+30,No,Travel_Frequently,1012,Research & Development,5,4,Life Sciences,1,861,2,Male,75,2,1,Research Scientist,4,Divorced,3761,2373,9,Y,No,12,3,2,80,1,10,3,2,5,4,0,3
+53,No,Travel_Rarely,661,Sales,7,2,Marketing,1,862,1,Female,78,2,3,Sales Executive,4,Married,10934,20715,7,Y,Yes,18,3,4,80,1,35,3,3,5,2,0,4
+45,No,Travel_Rarely,930,Sales,9,3,Marketing,1,864,4,Male,74,3,3,Sales Executive,1,Divorced,10761,19239,4,Y,Yes,12,3,3,80,1,18,2,3,5,4,0,2
+32,No,Travel_Rarely,638,Research & Development,8,2,Medical,1,865,3,Female,91,4,2,Research Scientist,3,Married,5175,22162,5,Y,No,12,3,3,80,1,9,3,2,5,3,1,3
+52,No,Travel_Frequently,890,Research & Development,25,4,Medical,1,867,3,Female,81,2,4,Manufacturing Director,4,Married,13826,19028,3,Y,No,22,4,3,80,0,31,3,3,9,8,0,0
+37,No,Travel_Rarely,342,Sales,16,4,Marketing,1,868,4,Male,66,2,2,Sales Executive,3,Divorced,6334,24558,4,Y,No,19,3,4,80,2,9,2,3,1,0,0,0
+28,No,Travel_Rarely,1169,Human Resources,8,2,Medical,1,869,2,Male,63,2,1,Human Resources,4,Divorced,4936,23965,1,Y,No,13,3,4,80,1,6,6,3,5,1,0,4
+22,No,Travel_Rarely,1230,Research & Development,1,2,Life Sciences,1,872,4,Male,33,2,2,Manufacturing Director,4,Married,4775,19146,6,Y,No,22,4,1,80,2,4,2,1,2,2,2,2
+44,No,Travel_Rarely,986,Research & Development,8,4,Life Sciences,1,874,1,Male,62,4,1,Laboratory Technician,4,Married,2818,5044,2,Y,Yes,24,4,3,80,1,10,2,2,3,2,0,2
+42,No,Travel_Frequently,1271,Research & Development,2,1,Medical,1,875,2,Male,35,3,1,Research Scientist,4,Single,2515,9068,5,Y,Yes,14,3,4,80,0,8,2,3,2,1,2,2
+36,No,Travel_Rarely,1278,Human Resources,8,3,Life Sciences,1,878,1,Male,77,2,1,Human Resources,1,Married,2342,8635,0,Y,No,21,4,3,80,0,6,3,3,5,4,0,3
+25,No,Travel_Rarely,141,Sales,3,1,Other,1,879,3,Male,98,3,2,Sales Executive,1,Married,4194,14363,1,Y,Yes,18,3,4,80,0,5,3,3,5,3,0,3
+35,No,Travel_Rarely,607,Research & Development,9,3,Life Sciences,1,880,4,Female,66,2,3,Manufacturing Director,3,Married,10685,23457,1,Y,Yes,20,4,2,80,1,17,2,3,17,14,5,15
+35,Yes,Travel_Frequently,130,Research & Development,25,4,Life Sciences,1,881,4,Female,96,3,1,Research Scientist,2,Divorced,2022,16612,1,Y,Yes,19,3,1,80,1,10,3,2,10,2,7,8
+32,No,Non-Travel,300,Research & Development,1,3,Life Sciences,1,882,4,Male,61,3,1,Laboratory Technician,4,Divorced,2314,9148,0,Y,No,12,3,2,80,1,4,2,3,3,0,0,2
+25,No,Travel_Rarely,583,Sales,4,1,Marketing,1,885,3,Male,87,2,2,Sales Executive,1,Married,4256,18154,1,Y,No,12,3,1,80,0,5,1,4,5,2,0,3
+49,No,Travel_Rarely,1418,Research & Development,1,3,Technical Degree,1,887,3,Female,36,3,1,Research Scientist,1,Married,3580,10554,2,Y,No,16,3,2,80,1,7,2,3,4,2,0,2
+24,No,Non-Travel,1269,Research & Development,4,1,Life Sciences,1,888,1,Male,46,2,1,Laboratory Technician,4,Married,3162,10778,0,Y,No,17,3,4,80,0,6,2,2,5,2,3,4
+32,No,Travel_Frequently,379,Sales,5,2,Life Sciences,1,889,2,Male,48,3,2,Sales Executive,2,Married,6524,8891,1,Y,No,14,3,4,80,1,10,3,3,10,8,5,3
+38,No,Travel_Rarely,395,Sales,9,3,Marketing,1,893,2,Male,98,2,1,Sales Representative,2,Married,2899,12102,0,Y,No,19,3,4,80,1,3,3,3,2,2,1,2
+42,No,Travel_Rarely,1265,Research & Development,3,3,Life Sciences,1,894,3,Female,95,4,2,Laboratory Technician,4,Married,5231,23726,2,Y,Yes,13,3,2,80,1,17,1,2,5,3,1,3
+31,No,Travel_Rarely,1222,Research & Development,11,4,Life Sciences,1,895,4,Male,48,3,1,Research Scientist,4,Married,2356,14871,3,Y,Yes,19,3,2,80,1,8,2,3,6,4,0,2
+29,Yes,Travel_Rarely,341,Sales,1,3,Medical,1,896,2,Female,48,2,1,Sales Representative,3,Divorced,2800,23522,6,Y,Yes,19,3,3,80,3,5,3,3,3,2,0,2
+53,No,Travel_Rarely,868,Sales,8,3,Marketing,1,897,1,Male,73,3,4,Sales Executive,4,Married,11836,22789,5,Y,No,14,3,3,80,1,28,3,3,2,0,2,2
+35,No,Travel_Rarely,672,Research & Development,25,3,Technical Degree,1,899,4,Male,78,2,3,Manufacturing Director,2,Married,10903,9129,3,Y,No,16,3,1,80,0,16,2,3,13,10,4,8
+37,No,Travel_Frequently,1231,Sales,21,2,Medical,1,900,3,Female,54,3,1,Sales Representative,4,Married,2973,21222,5,Y,No,15,3,2,80,1,10,3,3,5,4,0,0
+53,No,Travel_Rarely,102,Research & Development,23,4,Life Sciences,1,901,4,Female,72,3,4,Research Director,4,Single,14275,20206,6,Y,No,18,3,3,80,0,33,0,3,12,9,3,8
+43,No,Travel_Frequently,422,Research & Development,1,3,Life Sciences,1,902,4,Female,33,3,2,Healthcare Representative,4,Married,5562,21782,4,Y,No,13,3,2,80,1,12,2,2,5,2,2,2
+47,No,Travel_Rarely,249,Sales,2,2,Marketing,1,903,3,Female,35,3,2,Sales Executive,4,Married,4537,17783,0,Y,Yes,22,4,1,80,1,8,2,3,7,6,7,7
+37,No,Non-Travel,1252,Sales,19,2,Medical,1,904,1,Male,32,3,3,Sales Executive,2,Single,7642,4814,1,Y,Yes,13,3,4,80,0,10,2,3,10,0,0,9
+50,No,Non-Travel,881,Research & Development,2,4,Life Sciences,1,905,1,Male,98,3,4,Manager,1,Divorced,17924,4544,1,Y,No,11,3,4,80,1,31,3,3,31,6,14,7
+39,No,Travel_Rarely,1383,Human Resources,2,3,Life Sciences,1,909,4,Female,42,2,2,Human Resources,4,Married,5204,7790,8,Y,No,11,3,3,80,2,13,2,3,5,4,0,4
+33,No,Travel_Rarely,1075,Human Resources,3,2,Human Resources,1,910,4,Male,57,3,1,Human Resources,2,Divorced,2277,22650,3,Y,Yes,11,3,3,80,1,7,4,4,4,3,0,3
+32,Yes,Travel_Rarely,374,Research & Development,25,4,Life Sciences,1,911,1,Male,87,3,1,Laboratory Technician,4,Single,2795,18016,1,Y,Yes,24,4,3,80,0,1,2,1,1,0,0,1
+29,No,Travel_Rarely,1086,Research & Development,7,1,Medical,1,912,1,Female,62,2,1,Laboratory Technician,4,Divorced,2532,6054,6,Y,No,14,3,3,80,3,8,5,3,4,3,0,3
+44,No,Travel_Rarely,661,Research & Development,9,2,Life Sciences,1,913,2,Male,61,3,1,Research Scientist,1,Married,2559,7508,1,Y,Yes,13,3,4,80,0,8,0,3,8,7,7,1
+28,No,Travel_Rarely,821,Sales,5,4,Medical,1,916,1,Male,98,3,2,Sales Executive,4,Single,4908,24252,1,Y,No,14,3,2,80,0,4,3,3,4,2,0,2
+58,Yes,Travel_Frequently,781,Research & Development,2,1,Life Sciences,1,918,4,Male,57,2,1,Laboratory Technician,4,Divorced,2380,13384,9,Y,Yes,14,3,4,80,1,3,3,2,1,0,0,0
+43,No,Travel_Rarely,177,Research & Development,8,3,Life Sciences,1,920,1,Female,55,3,2,Manufacturing Director,2,Divorced,4765,23814,4,Y,No,21,4,3,80,1,4,2,4,1,0,0,0
+20,Yes,Travel_Rarely,500,Sales,2,3,Medical,1,922,3,Female,49,2,1,Sales Representative,3,Single,2044,22052,1,Y,No,13,3,4,80,0,2,3,2,2,2,0,2
+21,Yes,Travel_Rarely,1427,Research & Development,18,1,Other,1,923,4,Female,65,3,1,Research Scientist,4,Single,2693,8870,1,Y,No,19,3,1,80,0,1,3,2,1,0,0,0
+36,No,Travel_Rarely,1425,Research & Development,14,1,Life Sciences,1,924,3,Male,68,3,2,Healthcare Representative,4,Married,6586,4821,0,Y,Yes,17,3,1,80,1,17,2,2,16,8,4,11
+47,No,Travel_Rarely,1454,Sales,2,4,Life Sciences,1,925,4,Female,65,2,1,Sales Representative,4,Single,3294,13137,1,Y,Yes,18,3,1,80,0,3,3,2,3,2,1,2
+22,Yes,Travel_Rarely,617,Research & Development,3,1,Life Sciences,1,926,2,Female,34,3,2,Manufacturing Director,3,Married,4171,10022,0,Y,Yes,19,3,1,80,1,4,3,4,3,2,0,2
+41,Yes,Travel_Rarely,1085,Research & Development,2,4,Life Sciences,1,927,2,Female,57,1,1,Laboratory Technician,4,Divorced,2778,17725,4,Y,Yes,13,3,3,80,1,10,1,2,7,7,1,0
+28,No,Travel_Rarely,995,Research & Development,9,3,Medical,1,930,3,Female,77,3,1,Research Scientist,3,Divorced,2377,9834,5,Y,No,18,3,2,80,1,6,2,3,2,2,2,2
+39,Yes,Travel_Rarely,1122,Research & Development,6,3,Medical,1,932,4,Male,70,3,1,Laboratory Technician,1,Married,2404,4303,7,Y,Yes,21,4,4,80,0,8,2,1,2,2,2,2
+27,No,Travel_Rarely,618,Research & Development,4,3,Life Sciences,1,933,2,Female,76,3,1,Research Scientist,3,Single,2318,17808,1,Y,No,19,3,3,80,0,1,2,3,1,1,0,0
+34,No,Travel_Rarely,546,Research & Development,10,3,Life Sciences,1,934,2,Male,83,3,1,Laboratory Technician,2,Divorced,2008,6896,1,Y,No,14,3,2,80,2,1,3,3,1,0,1,0
+42,No,Travel_Rarely,462,Sales,14,2,Medical,1,936,3,Female,68,2,2,Sales Executive,3,Single,6244,7824,7,Y,No,17,3,1,80,0,10,6,3,5,4,0,3
+33,No,Travel_Rarely,1198,Research & Development,1,4,Other,1,939,3,Male,100,2,1,Research Scientist,1,Single,2799,3339,3,Y,Yes,11,3,2,80,0,6,1,3,3,2,0,2
+58,No,Travel_Rarely,1272,Research & Development,5,3,Technical Degree,1,940,3,Female,37,2,3,Healthcare Representative,2,Divorced,10552,9255,2,Y,Yes,13,3,4,80,1,24,3,3,6,0,0,4
+31,No,Travel_Rarely,154,Sales,7,4,Life Sciences,1,941,2,Male,41,2,1,Sales Representative,3,Married,2329,11737,3,Y,No,15,3,2,80,0,13,2,4,7,7,5,2
+35,No,Travel_Rarely,1137,Research & Development,21,1,Life Sciences,1,942,4,Female,51,3,2,Healthcare Representative,4,Married,4014,19170,1,Y,Yes,25,4,4,80,1,10,2,1,10,6,0,7
+49,No,Travel_Rarely,527,Research & Development,8,2,Other,1,944,1,Female,51,3,3,Laboratory Technician,2,Married,7403,22477,4,Y,No,11,3,3,80,1,29,3,2,26,9,1,7
+48,No,Travel_Rarely,1469,Research & Development,20,4,Medical,1,945,4,Male,51,3,1,Research Scientist,3,Married,2259,5543,4,Y,No,17,3,1,80,2,13,2,2,0,0,0,0
+31,No,Non-Travel,1188,Sales,20,2,Marketing,1,947,4,Female,45,3,2,Sales Executive,3,Married,6932,24406,1,Y,No,13,3,4,80,1,9,2,2,9,8,0,0
+36,No,Travel_Rarely,188,Research & Development,7,4,Other,1,949,2,Male,65,3,1,Research Scientist,4,Single,4678,23293,2,Y,No,18,3,3,80,0,8,6,3,6,2,0,1
+38,No,Travel_Rarely,1333,Research & Development,1,3,Technical Degree,1,950,4,Female,80,3,3,Research Director,1,Married,13582,16292,1,Y,No,13,3,2,80,1,15,3,3,15,12,5,11
+32,No,Non-Travel,1184,Research & Development,1,3,Life Sciences,1,951,3,Female,70,2,1,Laboratory Technician,2,Married,2332,3974,6,Y,No,20,4,3,80,0,5,3,3,3,0,0,2
+25,Yes,Travel_Rarely,867,Sales,19,2,Marketing,1,952,3,Male,36,2,1,Sales Representative,2,Married,2413,18798,1,Y,Yes,18,3,3,80,3,1,2,3,1,0,0,0
+40,No,Travel_Rarely,658,Sales,10,4,Marketing,1,954,1,Male,67,2,3,Sales Executive,2,Divorced,9705,20652,2,Y,No,12,3,2,80,1,11,2,2,1,0,0,0
+26,No,Travel_Frequently,1283,Sales,1,3,Medical,1,956,3,Male,52,2,2,Sales Executive,1,Single,4294,11148,1,Y,No,12,3,2,80,0,7,2,3,7,7,0,7
+41,No,Travel_Rarely,263,Research & Development,6,3,Medical,1,957,4,Male,59,3,1,Laboratory Technician,1,Single,4721,3119,2,Y,Yes,13,3,3,80,0,20,3,3,18,13,2,17
+36,No,Travel_Rarely,938,Research & Development,2,4,Medical,1,958,3,Male,79,3,1,Laboratory Technician,3,Single,2519,12287,4,Y,No,21,4,3,80,0,16,6,3,11,8,3,9
+19,Yes,Travel_Rarely,419,Sales,21,3,Other,1,959,4,Male,37,2,1,Sales Representative,2,Single,2121,9947,1,Y,Yes,13,3,2,80,0,1,3,4,1,0,0,0
+20,Yes,Travel_Rarely,129,Research & Development,4,3,Technical Degree,1,960,1,Male,84,3,1,Laboratory Technician,1,Single,2973,13008,1,Y,No,19,3,2,80,0,1,2,3,1,0,0,0
+31,No,Travel_Rarely,616,Research & Development,12,3,Medical,1,961,4,Female,41,3,2,Healthcare Representative,4,Married,5855,17369,0,Y,Yes,11,3,3,80,2,10,2,1,9,7,8,5
+40,No,Travel_Frequently,1469,Research & Development,9,4,Medical,1,964,4,Male,35,3,1,Research Scientist,2,Divorced,3617,25063,8,Y,Yes,14,3,4,80,1,3,2,3,1,1,0,0
+32,No,Travel_Rarely,498,Research & Development,3,4,Medical,1,966,3,Female,93,3,2,Manufacturing Director,1,Married,6725,13554,1,Y,No,12,3,3,80,1,8,2,4,8,7,6,3
+36,Yes,Travel_Rarely,530,Sales,3,1,Life Sciences,1,967,3,Male,51,2,3,Sales Executive,4,Married,10325,5518,1,Y,Yes,11,3,1,80,1,16,6,3,16,7,3,7
+33,No,Travel_Rarely,1069,Research & Development,1,3,Life Sciences,1,969,2,Female,42,2,2,Healthcare Representative,4,Single,6949,12291,0,Y,No,14,3,1,80,0,6,3,3,5,0,1,4
+37,Yes,Travel_Rarely,625,Sales,1,4,Life Sciences,1,970,1,Male,46,2,3,Sales Executive,3,Married,10609,14922,5,Y,No,11,3,3,80,0,17,2,1,14,1,11,7
+45,No,Non-Travel,805,Research & Development,4,2,Life Sciences,1,972,3,Male,57,3,2,Laboratory Technician,2,Married,4447,23163,1,Y,No,12,3,2,80,0,9,5,2,9,7,0,8
+29,No,Travel_Frequently,1404,Sales,20,3,Technical Degree,1,974,3,Female,84,3,1,Sales Representative,4,Married,2157,18203,1,Y,No,15,3,2,80,1,3,5,3,3,1,0,2
+35,No,Travel_Rarely,1219,Sales,18,3,Medical,1,975,3,Female,86,3,2,Sales Executive,3,Married,4601,6179,1,Y,No,16,3,2,80,0,5,3,3,5,2,1,0
+52,No,Travel_Rarely,1053,Research & Development,1,2,Life Sciences,1,976,4,Male,70,3,4,Manager,4,Married,17099,13829,2,Y,No,15,3,2,80,1,26,2,2,9,8,7,8
+58,Yes,Travel_Rarely,289,Research & Development,2,3,Technical Degree,1,977,4,Male,51,3,1,Research Scientist,3,Single,2479,26227,4,Y,No,24,4,1,80,0,7,4,3,1,0,0,0
+53,No,Travel_Rarely,1376,Sales,2,2,Medical,1,981,3,Male,45,3,4,Manager,3,Divorced,14852,13938,6,Y,No,13,3,3,80,1,22,3,4,17,13,15,2
+30,No,Travel_Rarely,231,Sales,8,2,Other,1,982,3,Male,62,3,3,Sales Executive,3,Divorced,7264,9977,5,Y,No,11,3,1,80,1,10,2,4,8,4,7,7
+38,No,Non-Travel,152,Sales,10,3,Technical Degree,1,983,3,Female,85,3,2,Sales Executive,4,Single,5666,19899,1,Y,Yes,13,3,2,80,0,6,1,3,5,3,1,3
+35,No,Travel_Rarely,882,Sales,3,4,Life Sciences,1,984,4,Male,92,3,3,Sales Executive,4,Divorced,7823,6812,6,Y,No,13,3,2,80,1,12,2,3,10,9,0,8
+39,No,Travel_Rarely,903,Sales,2,5,Life Sciences,1,985,1,Male,41,4,3,Sales Executive,3,Single,7880,2560,0,Y,No,18,3,4,80,0,9,3,3,8,7,0,7
+40,Yes,Non-Travel,1479,Sales,24,3,Life Sciences,1,986,2,Female,100,4,4,Sales Executive,2,Single,13194,17071,4,Y,Yes,16,3,4,80,0,22,2,2,1,0,0,0
+47,No,Travel_Frequently,1379,Research & Development,16,4,Medical,1,987,3,Male,64,4,2,Manufacturing Director,3,Divorced,5067,6759,1,Y,Yes,19,3,3,80,0,20,3,4,19,10,2,7
+36,No,Non-Travel,1229,Sales,8,4,Technical Degree,1,990,1,Male,84,3,2,Sales Executive,4,Divorced,5079,25952,4,Y,No,13,3,4,80,2,12,3,3,7,7,0,7
+31,Yes,Non-Travel,335,Research & Development,9,2,Medical,1,991,3,Male,46,2,1,Research Scientist,1,Single,2321,10322,0,Y,Yes,22,4,1,80,0,4,0,3,3,2,1,2
+33,No,Non-Travel,722,Sales,17,3,Life Sciences,1,992,4,Male,38,3,4,Manager,3,Single,17444,20489,1,Y,No,11,3,4,80,0,10,2,3,10,8,6,0
+29,Yes,Travel_Rarely,906,Research & Development,10,3,Life Sciences,1,994,4,Female,92,2,1,Research Scientist,1,Single,2404,11479,6,Y,Yes,20,4,3,80,0,3,5,3,0,0,0,0
+33,No,Travel_Rarely,461,Research & Development,13,1,Life Sciences,1,995,2,Female,53,3,1,Research Scientist,4,Single,3452,17241,3,Y,No,18,3,1,80,0,5,4,3,3,2,0,2
+45,No,Travel_Rarely,974,Research & Development,1,4,Medical,1,996,4,Female,91,3,1,Laboratory Technician,4,Divorced,2270,11005,3,Y,No,14,3,4,80,2,8,2,3,5,3,0,2
+50,No,Travel_Rarely,1126,Research & Development,1,2,Medical,1,997,4,Male,66,3,4,Research Director,4,Divorced,17399,6615,9,Y,No,22,4,3,80,1,32,1,2,5,4,1,3
+33,No,Travel_Frequently,827,Research & Development,1,4,Other,1,998,3,Female,84,4,2,Healthcare Representative,2,Married,5488,20161,1,Y,Yes,13,3,1,80,1,6,2,3,6,5,1,2
+41,No,Travel_Frequently,840,Research & Development,9,3,Medical,1,999,1,Male,64,3,5,Research Director,3,Divorced,19419,3735,2,Y,No,17,3,2,80,1,21,2,4,18,16,0,11
+27,No,Travel_Rarely,1134,Research & Development,16,4,Technical Degree,1,1001,3,Female,37,3,1,Laboratory Technician,2,Married,2811,12086,9,Y,No,14,3,2,80,1,4,2,3,2,2,2,2
+45,No,Non-Travel,248,Research & Development,23,2,Life Sciences,1,1002,4,Male,42,3,2,Laboratory Technician,1,Married,3633,14039,1,Y,Yes,15,3,3,80,1,9,2,3,9,8,0,8
+47,No,Travel_Rarely,955,Sales,4,2,Life Sciences,1,1003,4,Female,83,3,2,Sales Executive,4,Single,4163,8571,1,Y,Yes,17,3,3,80,0,9,0,3,9,0,0,7
+30,Yes,Travel_Rarely,138,Research & Development,22,3,Life Sciences,1,1004,1,Female,48,3,1,Research Scientist,3,Married,2132,11539,4,Y,Yes,11,3,2,80,0,7,2,3,5,2,0,1
+50,No,Travel_Rarely,939,Research & Development,24,3,Life Sciences,1,1005,4,Male,95,3,4,Manufacturing Director,3,Married,13973,4161,3,Y,Yes,18,3,4,80,1,22,2,3,12,11,1,5
+38,No,Travel_Frequently,1391,Research & Development,10,1,Medical,1,1006,3,Male,66,3,1,Research Scientist,3,Married,2684,12127,0,Y,No,17,3,2,80,1,3,0,2,2,1,0,2
+46,No,Travel_Rarely,566,Research & Development,7,2,Medical,1,1007,4,Male,75,3,3,Manufacturing Director,3,Divorced,10845,24208,6,Y,No,13,3,2,80,1,13,3,3,8,7,0,7
+24,No,Travel_Rarely,1206,Research & Development,17,1,Medical,1,1009,4,Female,41,2,2,Manufacturing Director,3,Divorced,4377,24117,1,Y,No,15,3,2,80,2,5,6,3,4,2,3,2
+35,Yes,Travel_Rarely,622,Research & Development,14,4,Other,1,1010,3,Male,39,2,1,Laboratory Technician,2,Divorced,3743,10074,1,Y,Yes,24,4,4,80,1,5,2,1,4,2,0,2
+31,No,Travel_Frequently,853,Research & Development,1,1,Life Sciences,1,1011,3,Female,96,3,2,Manufacturing Director,1,Married,4148,11275,1,Y,No,12,3,3,80,1,4,1,3,4,3,0,3
+18,No,Non-Travel,287,Research & Development,5,2,Life Sciences,1,1012,2,Male,73,3,1,Research Scientist,4,Single,1051,13493,1,Y,No,15,3,4,80,0,0,2,3,0,0,0,0
+54,No,Travel_Rarely,1441,Research & Development,17,3,Technical Degree,1,1013,3,Female,56,3,3,Manufacturing Director,3,Married,10739,13943,8,Y,No,11,3,3,80,1,22,2,3,10,7,0,8
+35,No,Travel_Rarely,583,Research & Development,25,4,Medical,1,1014,3,Female,57,3,3,Healthcare Representative,3,Divorced,10388,6975,1,Y,Yes,11,3,3,80,1,16,3,2,16,10,10,1
+30,No,Travel_Rarely,153,Research & Development,8,2,Life Sciences,1,1015,2,Female,73,4,3,Research Director,1,Married,11416,17802,0,Y,Yes,12,3,3,80,3,9,4,2,8,7,1,7
+20,Yes,Travel_Rarely,1097,Research & Development,11,3,Medical,1,1016,4,Female,98,2,1,Research Scientist,1,Single,2600,18275,1,Y,Yes,15,3,1,80,0,1,2,3,1,0,0,0
+30,Yes,Travel_Frequently,109,Research & Development,5,3,Medical,1,1017,2,Female,60,3,1,Laboratory Technician,2,Single,2422,25725,0,Y,No,17,3,1,80,0,4,3,3,3,2,1,2
+26,No,Travel_Rarely,1066,Research & Development,2,2,Medical,1,1018,4,Male,32,4,2,Manufacturing Director,4,Married,5472,3334,1,Y,No,12,3,2,80,0,8,2,3,8,7,1,3
+22,No,Travel_Rarely,217,Research & Development,8,1,Life Sciences,1,1019,2,Male,94,1,1,Laboratory Technician,1,Married,2451,6881,1,Y,No,15,3,1,80,1,4,3,2,4,3,1,1
+48,No,Travel_Rarely,277,Research & Development,6,3,Life Sciences,1,1022,1,Male,97,2,2,Healthcare Representative,3,Single,4240,13119,2,Y,No,13,3,4,80,0,19,0,3,2,2,2,2
+48,No,Travel_Rarely,1355,Research & Development,4,4,Life Sciences,1,1024,3,Male,78,2,3,Healthcare Representative,3,Single,10999,22245,7,Y,No,14,3,2,80,0,27,3,3,15,11,4,8
+41,No,Travel_Rarely,549,Research & Development,7,2,Medical,1,1025,4,Female,42,3,2,Manufacturing Director,3,Single,5003,23371,6,Y,No,14,3,2,80,0,8,6,3,2,2,2,1
+39,No,Travel_Rarely,466,Research & Development,1,1,Life Sciences,1,1026,4,Female,65,2,4,Manufacturing Director,4,Married,12742,7060,1,Y,No,16,3,3,80,1,21,3,3,21,6,11,8
+27,No,Travel_Rarely,1055,Research & Development,2,4,Life Sciences,1,1027,1,Female,47,3,2,Manufacturing Director,4,Married,4227,4658,0,Y,No,18,3,2,80,1,4,2,3,3,2,2,2
+35,No,Travel_Rarely,802,Research & Development,10,3,Other,1,1028,2,Male,45,3,1,Laboratory Technician,4,Divorced,3917,9541,1,Y,No,20,4,1,80,1,3,4,2,3,2,1,2
+42,No,Travel_Rarely,265,Sales,5,2,Marketing,1,1029,4,Male,90,3,5,Manager,3,Married,18303,7770,6,Y,No,13,3,2,80,0,21,3,4,1,0,0,0
+50,No,Travel_Rarely,804,Research & Development,9,3,Life Sciences,1,1030,1,Male,64,3,1,Laboratory Technician,4,Married,2380,20165,4,Y,No,18,3,2,80,0,8,5,3,1,0,0,0
+59,No,Travel_Rarely,715,Research & Development,2,3,Life Sciences,1,1032,3,Female,69,2,4,Manufacturing Director,4,Single,13726,21829,3,Y,Yes,13,3,1,80,0,30,4,3,5,3,4,3
+37,Yes,Travel_Rarely,1141,Research & Development,11,2,Medical,1,1033,1,Female,61,1,2,Healthcare Representative,2,Married,4777,14382,5,Y,No,15,3,1,80,0,15,2,1,1,0,0,0
+55,No,Travel_Frequently,135,Research & Development,18,4,Medical,1,1034,3,Male,62,3,2,Healthcare Representative,2,Married,6385,12992,3,Y,Yes,14,3,4,80,2,17,3,3,8,7,6,7
+41,No,Non-Travel,247,Research & Development,7,1,Life Sciences,1,1035,2,Female,55,1,5,Research Director,3,Divorced,19973,20284,1,Y,No,22,4,2,80,2,21,3,3,21,16,5,10
+38,No,Travel_Rarely,1035,Sales,3,4,Life Sciences,1,1036,2,Male,42,3,2,Sales Executive,4,Single,6861,4981,8,Y,Yes,12,3,3,80,0,19,1,3,1,0,0,0
+26,Yes,Non-Travel,265,Sales,29,2,Medical,1,1037,2,Male,79,1,2,Sales Executive,1,Single,4969,21813,8,Y,No,18,3,4,80,0,7,6,3,2,2,2,2
+52,Yes,Travel_Rarely,266,Sales,2,1,Marketing,1,1038,1,Female,57,1,5,Manager,4,Married,19845,25846,1,Y,No,15,3,4,80,1,33,3,3,32,14,6,9
+44,No,Travel_Rarely,1448,Sales,28,3,Medical,1,1039,4,Female,53,4,4,Sales Executive,4,Married,13320,11737,3,Y,Yes,18,3,3,80,1,23,2,3,12,11,11,11
+50,No,Non-Travel,145,Sales,1,3,Life Sciences,1,1040,4,Female,95,3,2,Sales Executive,3,Married,6347,24920,0,Y,No,12,3,1,80,1,19,3,3,18,7,0,13
+36,Yes,Travel_Rarely,885,Research & Development,16,4,Life Sciences,1,1042,3,Female,43,4,1,Laboratory Technician,1,Single,2743,8269,1,Y,No,16,3,3,80,0,18,1,3,17,13,15,14
+39,No,Travel_Frequently,945,Research & Development,22,3,Medical,1,1043,4,Female,82,3,3,Manufacturing Director,1,Single,10880,5083,1,Y,Yes,13,3,3,80,0,21,2,3,21,6,2,8
+33,No,Non-Travel,1038,Sales,8,1,Life Sciences,1,1044,2,Female,88,2,1,Sales Representative,4,Single,2342,21437,0,Y,No,19,3,4,80,0,3,2,2,2,2,2,2
+45,No,Travel_Rarely,1234,Sales,11,2,Life Sciences,1,1045,4,Female,90,3,4,Manager,4,Married,17650,5404,3,Y,No,13,3,2,80,1,26,4,4,9,3,1,1
+32,No,Non-Travel,1109,Research & Development,29,4,Medical,1,1046,4,Female,69,3,1,Laboratory Technician,3,Single,4025,11135,9,Y,No,12,3,2,80,0,10,2,3,8,7,7,7
+34,No,Travel_Rarely,216,Sales,1,4,Marketing,1,1047,2,Male,75,4,2,Sales Executive,4,Divorced,9725,12278,0,Y,No,11,3,4,80,1,16,2,2,15,1,0,9
+59,No,Travel_Rarely,1089,Sales,1,2,Technical Degree,1,1048,2,Male,66,3,3,Manager,4,Married,11904,11038,3,Y,Yes,14,3,3,80,1,14,1,1,6,4,0,4
+45,No,Travel_Rarely,788,Human Resources,24,4,Medical,1,1049,2,Male,36,3,1,Human Resources,2,Single,2177,8318,1,Y,No,16,3,1,80,0,6,3,3,6,3,0,4
+53,No,Travel_Frequently,124,Sales,2,3,Marketing,1,1050,3,Female,38,2,3,Sales Executive,2,Married,7525,23537,2,Y,No,12,3,1,80,1,30,2,3,15,7,6,12
+36,Yes,Travel_Rarely,660,Research & Development,15,3,Other,1,1052,1,Male,81,3,2,Laboratory Technician,3,Divorced,4834,7858,7,Y,No,14,3,2,80,1,9,3,2,1,0,0,0
+26,Yes,Travel_Frequently,342,Research & Development,2,3,Life Sciences,1,1053,1,Male,57,3,1,Research Scientist,1,Married,2042,15346,6,Y,Yes,14,3,2,80,1,6,2,3,3,2,1,2
+34,No,Travel_Rarely,1333,Sales,10,4,Life Sciences,1,1055,3,Female,87,3,1,Sales Representative,3,Married,2220,18410,1,Y,Yes,19,3,4,80,1,1,2,3,1,1,0,0
+28,No,Travel_Rarely,1144,Sales,10,1,Medical,1,1056,4,Male,74,3,1,Sales Representative,2,Married,1052,23384,1,Y,No,22,4,2,80,0,1,5,3,1,0,0,0
+38,No,Travel_Frequently,1186,Research & Development,3,4,Other,1,1060,3,Male,44,3,1,Research Scientist,3,Married,2821,2997,3,Y,No,16,3,1,80,1,8,2,3,2,2,2,2
+50,No,Travel_Rarely,1464,Research & Development,2,4,Medical,1,1061,2,Male,62,3,5,Research Director,3,Married,19237,12853,2,Y,Yes,11,3,4,80,1,29,2,2,8,1,7,7
+37,No,Travel_Rarely,124,Research & Development,3,3,Other,1,1062,4,Female,35,3,2,Healthcare Representative,2,Single,4107,13848,3,Y,No,15,3,1,80,0,8,3,2,4,3,0,1
+40,No,Travel_Rarely,300,Sales,26,3,Marketing,1,1066,3,Male,74,3,2,Sales Executive,1,Married,8396,22217,1,Y,No,14,3,2,80,1,8,3,2,7,7,7,5
+26,No,Travel_Frequently,921,Research & Development,1,1,Medical,1,1068,1,Female,66,2,1,Research Scientist,3,Divorced,2007,25265,1,Y,No,13,3,3,80,2,5,5,3,5,3,1,3
+46,No,Travel_Rarely,430,Research & Development,1,4,Medical,1,1069,4,Male,40,3,5,Research Director,4,Divorced,19627,21445,9,Y,No,17,3,4,80,2,23,0,3,2,2,2,2
+54,No,Travel_Rarely,1082,Sales,2,4,Life Sciences,1,1070,3,Female,41,2,3,Sales Executive,3,Married,10686,8392,6,Y,No,11,3,2,80,1,13,4,3,9,4,7,0
+56,No,Travel_Frequently,1240,Research & Development,9,3,Medical,1,1071,1,Female,63,3,1,Research Scientist,3,Married,2942,12154,2,Y,No,19,3,2,80,1,18,4,3,5,4,0,3
+36,No,Travel_Rarely,796,Research & Development,12,5,Medical,1,1073,4,Female,51,2,3,Manufacturing Director,4,Single,8858,15669,0,Y,No,11,3,2,80,0,15,2,2,14,8,7,8
+55,No,Non-Travel,444,Research & Development,2,1,Medical,1,1074,3,Male,40,2,4,Manager,1,Single,16756,17323,7,Y,No,15,3,2,80,0,31,3,4,9,7,6,2
+43,No,Travel_Rarely,415,Sales,25,3,Medical,1,1076,3,Male,79,2,3,Sales Executive,4,Divorced,10798,5268,5,Y,No,13,3,3,80,1,18,5,3,1,0,0,0
+20,Yes,Travel_Frequently,769,Sales,9,3,Marketing,1,1077,4,Female,54,3,1,Sales Representative,4,Single,2323,17205,1,Y,Yes,14,3,2,80,0,2,3,3,2,2,0,2
+21,Yes,Travel_Rarely,1334,Research & Development,10,3,Life Sciences,1,1079,3,Female,36,2,1,Laboratory Technician,1,Single,1416,17258,1,Y,No,13,3,1,80,0,1,6,2,1,0,1,0
+46,No,Travel_Rarely,1003,Research & Development,8,4,Life Sciences,1,1080,4,Female,74,2,2,Research Scientist,1,Divorced,4615,21029,8,Y,Yes,23,4,1,80,3,19,2,3,16,13,1,7
+51,Yes,Travel_Rarely,1323,Research & Development,4,4,Life Sciences,1,1081,1,Male,34,3,1,Research Scientist,3,Married,2461,10332,9,Y,Yes,12,3,3,80,3,18,2,4,10,0,2,7
+28,Yes,Non-Travel,1366,Research & Development,24,2,Technical Degree,1,1082,2,Male,72,2,3,Healthcare Representative,1,Single,8722,12355,1,Y,No,12,3,1,80,0,10,2,2,10,7,1,9
+26,No,Travel_Rarely,192,Research & Development,1,2,Medical,1,1083,1,Male,59,2,1,Laboratory Technician,1,Married,3955,11141,1,Y,No,16,3,1,80,2,6,2,3,5,3,1,3
+30,No,Travel_Rarely,1176,Research & Development,20,3,Other,1,1084,3,Male,85,3,2,Manufacturing Director,1,Married,9957,9096,0,Y,No,15,3,3,80,1,7,1,2,6,2,0,2
+41,No,Travel_Rarely,509,Research & Development,7,2,Technical Degree,1,1085,2,Female,43,4,1,Research Scientist,3,Married,3376,18863,1,Y,No,13,3,3,80,0,10,3,3,10,6,0,8
+38,No,Travel_Rarely,330,Research & Development,17,1,Life Sciences,1,1088,3,Female,65,2,3,Healthcare Representative,3,Married,8823,24608,0,Y,No,18,3,1,80,1,20,4,2,19,9,1,9
+40,No,Travel_Rarely,1492,Research & Development,20,4,Technical Degree,1,1092,1,Male,61,3,3,Healthcare Representative,4,Married,10322,26542,4,Y,No,20,4,4,80,1,14,6,3,11,10,11,1
+27,No,Non-Travel,1277,Research & Development,8,5,Life Sciences,1,1094,1,Male,87,1,1,Laboratory Technician,3,Married,4621,5869,1,Y,No,19,3,4,80,3,3,4,3,3,2,1,2
+55,No,Travel_Frequently,1091,Research & Development,2,1,Life Sciences,1,1096,4,Male,65,3,3,Manufacturing Director,2,Married,10976,15813,3,Y,No,18,3,2,80,1,23,4,3,3,2,1,2
+28,No,Travel_Rarely,857,Research & Development,10,3,Other,1,1097,3,Female,59,3,2,Research Scientist,3,Single,3660,7909,3,Y,No,13,3,4,80,0,10,4,4,8,7,1,7
+44,Yes,Travel_Rarely,1376,Human Resources,1,2,Medical,1,1098,2,Male,91,2,3,Human Resources,1,Married,10482,2326,9,Y,No,14,3,4,80,1,24,1,3,20,6,3,6
+33,No,Travel_Rarely,654,Research & Development,5,3,Life Sciences,1,1099,4,Male,34,2,3,Healthcare Representative,4,Divorced,7119,21214,4,Y,No,15,3,3,80,1,9,2,3,3,2,1,2
+35,Yes,Travel_Rarely,1204,Sales,4,3,Technical Degree,1,1100,4,Male,86,3,3,Sales Executive,1,Single,9582,10333,0,Y,Yes,22,4,1,80,0,9,2,3,8,7,4,7
+33,Yes,Travel_Frequently,827,Research & Development,29,4,Medical,1,1101,1,Female,54,2,2,Research Scientist,3,Single,4508,3129,1,Y,No,22,4,2,80,0,14,4,3,13,7,3,8
+28,No,Travel_Rarely,895,Research & Development,15,2,Life Sciences,1,1102,1,Male,50,3,1,Laboratory Technician,3,Divorced,2207,22482,1,Y,No,16,3,4,80,1,4,5,2,4,2,2,2
+34,No,Travel_Frequently,618,Research & Development,3,1,Life Sciences,1,1103,1,Male,45,3,2,Healthcare Representative,4,Single,7756,22266,0,Y,No,17,3,3,80,0,7,1,2,6,2,0,4
+37,No,Travel_Rarely,309,Sales,10,4,Life Sciences,1,1105,4,Female,88,2,2,Sales Executive,4,Divorced,6694,24223,2,Y,Yes,14,3,3,80,3,8,5,3,1,0,0,0
+25,Yes,Travel_Rarely,1219,Research & Development,4,1,Technical Degree,1,1106,4,Male,32,3,1,Laboratory Technician,4,Married,3691,4605,1,Y,Yes,15,3,2,80,1,7,3,4,7,7,5,6
+26,Yes,Travel_Rarely,1330,Research & Development,21,3,Medical,1,1107,1,Male,37,3,1,Laboratory Technician,3,Divorced,2377,19373,1,Y,No,20,4,3,80,1,1,0,2,1,1,0,0
+33,Yes,Travel_Rarely,1017,Research & Development,25,3,Medical,1,1108,1,Male,55,2,1,Research Scientist,2,Single,2313,2993,4,Y,Yes,20,4,2,80,0,5,0,3,2,2,2,2
+42,No,Travel_Rarely,469,Research & Development,2,2,Medical,1,1109,4,Male,35,3,4,Manager,1,Married,17665,14399,0,Y,No,17,3,4,80,1,23,3,3,22,6,13,7
+28,Yes,Travel_Frequently,1009,Research & Development,1,3,Medical,1,1111,1,Male,45,2,1,Laboratory Technician,2,Divorced,2596,7160,1,Y,No,15,3,1,80,2,1,2,3,1,0,0,0
+50,Yes,Travel_Frequently,959,Sales,1,4,Other,1,1113,4,Male,81,3,2,Sales Executive,3,Single,4728,17251,3,Y,Yes,14,3,4,80,0,5,4,3,0,0,0,0
+33,No,Travel_Frequently,970,Sales,7,3,Life Sciences,1,1114,4,Female,30,3,2,Sales Executive,2,Married,4302,13401,0,Y,No,17,3,3,80,1,4,3,3,3,2,0,2
+34,No,Non-Travel,697,Research & Development,3,4,Life Sciences,1,1115,3,Male,40,2,1,Research Scientist,4,Married,2979,22478,3,Y,No,17,3,4,80,3,6,2,3,0,0,0,0
+48,No,Non-Travel,1262,Research & Development,1,4,Medical,1,1116,1,Male,35,4,4,Manager,4,Single,16885,16154,2,Y,No,22,4,3,80,0,27,3,2,5,4,2,1
+45,No,Non-Travel,1050,Sales,9,4,Life Sciences,1,1117,2,Female,65,2,2,Sales Executive,3,Married,5593,17970,1,Y,No,13,3,4,80,1,15,2,3,15,10,4,12
+52,No,Travel_Rarely,994,Research & Development,7,4,Life Sciences,1,1118,2,Male,87,3,3,Healthcare Representative,2,Single,10445,15322,7,Y,No,19,3,4,80,0,18,4,3,8,6,4,0
+38,No,Travel_Rarely,770,Sales,10,4,Marketing,1,1119,3,Male,73,2,3,Sales Executive,3,Divorced,8740,5569,0,Y,Yes,14,3,2,80,2,9,2,3,8,7,2,7
+29,No,Travel_Rarely,1107,Research & Development,28,4,Life Sciences,1,1120,3,Female,93,3,1,Research Scientist,4,Divorced,2514,26968,4,Y,No,22,4,1,80,1,11,1,3,7,5,1,7
+28,No,Travel_Rarely,950,Research & Development,3,3,Medical,1,1121,4,Female,93,3,3,Manufacturing Director,2,Divorced,7655,8039,0,Y,No,17,3,2,80,3,10,3,2,9,7,1,7
+46,No,Travel_Rarely,406,Sales,3,1,Marketing,1,1124,1,Male,52,3,4,Manager,3,Married,17465,15596,3,Y,No,12,3,4,80,1,23,3,3,12,9,4,9
+38,No,Travel_Rarely,130,Sales,2,2,Marketing,1,1125,4,Male,32,3,3,Sales Executive,2,Single,7351,20619,7,Y,No,16,3,3,80,0,10,2,3,1,0,0,0
+43,No,Travel_Frequently,1082,Research & Development,27,3,Life Sciences,1,1126,3,Female,83,3,3,Manufacturing Director,1,Married,10820,11535,8,Y,No,11,3,3,80,1,18,1,3,8,7,0,1
+39,Yes,Travel_Frequently,203,Research & Development,2,3,Life Sciences,1,1127,1,Male,84,3,4,Healthcare Representative,4,Divorced,12169,13547,7,Y,No,11,3,4,80,3,21,4,3,18,7,11,5
+40,No,Travel_Rarely,1308,Research & Development,14,3,Medical,1,1128,3,Male,44,2,5,Research Director,3,Single,19626,17544,1,Y,No,14,3,1,80,0,21,2,4,20,7,4,9
+21,No,Travel_Rarely,984,Research & Development,1,1,Technical Degree,1,1131,4,Female,70,2,1,Research Scientist,2,Single,2070,25326,1,Y,Yes,11,3,3,80,0,2,6,4,2,2,2,2
+39,No,Non-Travel,439,Research & Development,9,3,Life Sciences,1,1132,3,Male,70,3,2,Laboratory Technician,2,Single,6782,8770,9,Y,No,15,3,3,80,0,9,2,2,5,4,0,3
+36,No,Non-Travel,217,Research & Development,18,4,Life Sciences,1,1133,1,Male,78,3,2,Manufacturing Director,4,Single,7779,23238,2,Y,No,20,4,1,80,0,18,0,3,11,9,0,9
+31,No,Travel_Frequently,793,Sales,20,3,Life Sciences,1,1135,3,Male,67,4,1,Sales Representative,4,Married,2791,21981,0,Y,No,12,3,1,80,1,3,4,3,2,2,2,2
+28,No,Travel_Rarely,1451,Research & Development,2,1,Life Sciences,1,1136,1,Male,67,2,1,Research Scientist,2,Married,3201,19911,0,Y,No,17,3,1,80,0,6,2,1,5,3,0,4
+35,No,Travel_Frequently,1182,Sales,11,2,Marketing,1,1137,4,Male,54,3,2,Sales Executive,4,Divorced,4968,18500,1,Y,No,11,3,4,80,1,5,3,3,5,2,0,2
+49,No,Travel_Rarely,174,Sales,8,4,Technical Degree,1,1138,4,Male,56,2,4,Sales Executive,2,Married,13120,11879,6,Y,No,17,3,2,80,1,22,3,3,9,8,2,3
+34,No,Travel_Frequently,1003,Research & Development,2,2,Life Sciences,1,1140,4,Male,95,3,2,Manufacturing Director,3,Single,4033,15834,2,Y,No,11,3,4,80,0,5,3,2,3,2,0,2
+29,No,Travel_Frequently,490,Research & Development,10,3,Life Sciences,1,1143,4,Female,61,3,1,Research Scientist,2,Divorced,3291,17940,0,Y,No,14,3,4,80,2,8,2,2,7,5,1,1
+42,No,Travel_Rarely,188,Research & Development,29,3,Medical,1,1148,2,Male,56,1,2,Laboratory Technician,4,Single,4272,9558,4,Y,No,19,3,1,80,0,16,3,3,1,0,0,0
+29,No,Travel_Rarely,718,Research & Development,8,1,Medical,1,1150,2,Male,79,2,2,Manufacturing Director,4,Married,5056,17689,1,Y,Yes,15,3,3,80,1,10,2,2,10,7,1,2
+38,No,Travel_Rarely,433,Human Resources,1,3,Human Resources,1,1152,3,Male,37,4,1,Human Resources,3,Married,2844,6004,1,Y,No,13,3,4,80,1,7,2,4,7,6,5,0
+28,No,Travel_Frequently,773,Research & Development,6,3,Life Sciences,1,1154,3,Male,39,2,1,Research Scientist,3,Divorced,2703,22088,1,Y,Yes,14,3,4,80,1,3,2,3,3,1,0,2
+18,Yes,Non-Travel,247,Research & Development,8,1,Medical,1,1156,3,Male,80,3,1,Laboratory Technician,3,Single,1904,13556,1,Y,No,12,3,4,80,0,0,0,3,0,0,0,0
+33,Yes,Travel_Rarely,603,Sales,9,4,Marketing,1,1157,1,Female,77,3,2,Sales Executive,1,Single,8224,18385,0,Y,Yes,17,3,1,80,0,6,3,3,5,2,0,3
+41,No,Travel_Rarely,167,Research & Development,12,4,Life Sciences,1,1158,2,Male,46,3,1,Laboratory Technician,4,Married,4766,9051,3,Y,Yes,11,3,1,80,1,6,4,3,1,0,0,0
+31,Yes,Travel_Frequently,874,Research & Development,15,3,Medical,1,1160,3,Male,72,3,1,Laboratory Technician,3,Married,2610,6233,1,Y,No,12,3,3,80,1,2,5,2,2,2,2,2
+37,No,Travel_Rarely,367,Research & Development,25,2,Medical,1,1161,3,Female,52,2,2,Healthcare Representative,4,Divorced,5731,17171,7,Y,No,13,3,3,80,2,9,2,3,6,2,1,3
+27,No,Travel_Rarely,199,Research & Development,6,3,Life Sciences,1,1162,4,Male,55,2,1,Research Scientist,3,Married,2539,7950,1,Y,No,13,3,3,80,1,4,0,3,4,2,2,2
+34,No,Travel_Rarely,1400,Sales,9,1,Life Sciences,1,1163,2,Female,70,3,2,Sales Executive,3,Married,5714,5829,1,Y,No,20,4,1,80,0,6,3,2,6,5,1,3
+35,No,Travel_Rarely,528,Human Resources,8,4,Technical Degree,1,1164,3,Male,100,3,1,Human Resources,3,Single,4323,7108,1,Y,No,17,3,2,80,0,6,2,1,5,4,1,4
+29,Yes,Travel_Rarely,408,Sales,23,1,Life Sciences,1,1165,4,Female,45,2,3,Sales Executive,1,Married,7336,11162,1,Y,No,13,3,1,80,1,11,3,1,11,8,3,10
+40,No,Travel_Frequently,593,Research & Development,9,4,Medical,1,1166,2,Female,88,3,3,Research Director,3,Single,13499,13782,9,Y,No,17,3,3,80,0,20,3,2,18,7,2,13
+42,Yes,Travel_Frequently,481,Sales,12,3,Life Sciences,1,1167,3,Male,44,3,4,Sales Executive,1,Single,13758,2447,0,Y,Yes,12,3,2,80,0,22,2,2,21,9,13,14
+42,No,Travel_Rarely,647,Sales,4,4,Marketing,1,1171,2,Male,45,3,2,Sales Executive,1,Single,5155,2253,7,Y,No,13,3,4,80,0,9,3,4,6,4,1,5
+35,No,Travel_Rarely,982,Research & Development,1,4,Medical,1,1172,4,Male,58,2,1,Laboratory Technician,3,Married,2258,16340,6,Y,No,12,3,2,80,1,10,2,3,8,0,1,7
+24,No,Travel_Rarely,477,Research & Development,24,3,Medical,1,1173,4,Male,49,3,1,Laboratory Technician,2,Single,3597,6409,8,Y,No,22,4,4,80,0,6,2,3,4,3,1,2
+28,Yes,Travel_Rarely,1485,Research & Development,12,1,Life Sciences,1,1175,3,Female,79,3,1,Laboratory Technician,4,Married,2515,22955,1,Y,Yes,11,3,4,80,0,1,4,2,1,1,0,0
+26,No,Travel_Rarely,1384,Research & Development,3,4,Medical,1,1177,1,Male,82,4,1,Laboratory Technician,4,Married,4420,13421,1,Y,No,22,4,2,80,1,8,2,3,8,7,0,7
+30,No,Travel_Rarely,852,Sales,10,3,Marketing,1,1179,3,Male,72,2,2,Sales Executive,3,Married,6578,2706,1,Y,No,18,3,1,80,1,10,3,3,10,3,1,4
+40,No,Travel_Frequently,902,Research & Development,26,2,Medical,1,1180,3,Female,92,2,2,Research Scientist,4,Married,4422,21203,3,Y,Yes,13,3,4,80,1,16,3,1,1,1,0,0
+35,No,Travel_Rarely,819,Research & Development,2,3,Life Sciences,1,1182,3,Male,44,2,3,Manufacturing Director,2,Divorced,10274,19588,2,Y,No,18,3,2,80,1,15,2,4,7,7,6,4
+34,No,Travel_Frequently,669,Research & Development,1,3,Medical,1,1184,4,Male,97,2,2,Healthcare Representative,1,Single,5343,25755,0,Y,No,20,4,3,80,0,14,3,3,13,9,4,9
+35,No,Travel_Frequently,636,Research & Development,4,4,Other,1,1185,4,Male,47,2,1,Laboratory Technician,4,Married,2376,26537,1,Y,No,13,3,2,80,1,2,2,4,2,2,2,2
+43,Yes,Travel_Rarely,1372,Sales,9,3,Marketing,1,1188,1,Female,85,1,2,Sales Executive,3,Single,5346,9489,8,Y,No,13,3,2,80,0,7,2,2,4,3,1,3
+32,No,Non-Travel,862,Sales,2,1,Life Sciences,1,1190,3,Female,76,3,1,Sales Representative,1,Divorced,2827,14947,1,Y,No,12,3,3,80,3,1,3,3,1,0,0,0
+56,No,Travel_Rarely,718,Research & Development,4,4,Technical Degree,1,1191,4,Female,92,3,5,Manager,1,Divorced,19943,18575,4,Y,No,13,3,4,80,1,28,2,3,5,2,4,2
+29,No,Travel_Rarely,1401,Research & Development,6,1,Medical,1,1192,2,Female,54,3,1,Laboratory Technician,4,Married,3131,26342,1,Y,No,13,3,1,80,1,10,5,3,10,8,0,8
+19,No,Travel_Rarely,645,Research & Development,9,2,Life Sciences,1,1193,3,Male,54,3,1,Research Scientist,1,Single,2552,7172,1,Y,No,25,4,3,80,0,1,4,3,1,1,0,0
+45,No,Travel_Rarely,1457,Research & Development,7,3,Medical,1,1195,1,Female,83,3,1,Research Scientist,3,Married,4477,20100,4,Y,Yes,19,3,3,80,1,7,2,2,3,2,0,2
+37,No,Travel_Rarely,977,Research & Development,1,3,Life Sciences,1,1196,4,Female,56,2,2,Manufacturing Director,4,Married,6474,9961,1,Y,No,13,3,2,80,1,14,2,2,14,8,3,11
+20,No,Travel_Rarely,805,Research & Development,3,3,Life Sciences,1,1198,1,Male,87,2,1,Laboratory Technician,3,Single,3033,12828,1,Y,No,12,3,1,80,0,2,2,2,2,2,1,2
+44,Yes,Travel_Rarely,1097,Research & Development,10,4,Life Sciences,1,1200,3,Male,96,3,1,Research Scientist,3,Single,2936,10826,1,Y,Yes,11,3,3,80,0,6,4,3,6,4,0,2
+53,No,Travel_Rarely,1223,Research & Development,7,2,Medical,1,1201,4,Female,50,3,5,Manager,3,Divorced,18606,18640,3,Y,No,18,3,2,80,1,26,6,3,7,7,4,7
+29,No,Travel_Rarely,942,Research & Development,15,1,Life Sciences,1,1202,2,Female,69,1,1,Research Scientist,4,Married,2168,26933,0,Y,Yes,18,3,1,80,1,6,2,2,5,4,1,3
+22,Yes,Travel_Frequently,1256,Research & Development,3,4,Life Sciences,1,1203,3,Male,48,2,1,Research Scientist,4,Married,2853,4223,0,Y,Yes,11,3,2,80,1,1,5,3,0,0,0,0
+46,No,Travel_Rarely,1402,Sales,2,3,Marketing,1,1204,3,Female,69,3,4,Manager,1,Married,17048,24097,8,Y,No,23,4,1,80,0,28,2,3,26,15,15,9
+44,No,Non-Travel,111,Research & Development,17,3,Life Sciences,1,1206,4,Male,74,1,1,Research Scientist,3,Single,2290,4279,2,Y,No,13,3,4,80,0,6,3,3,0,0,0,0
+33,No,Travel_Rarely,147,Human Resources,2,3,Human Resources,1,1207,2,Male,99,3,1,Human Resources,3,Married,3600,8429,1,Y,No,13,3,4,80,1,5,2,3,5,4,1,4
+41,Yes,Non-Travel,906,Research & Development,5,2,Life Sciences,1,1210,1,Male,95,2,1,Research Scientist,1,Divorced,2107,20293,6,Y,No,17,3,1,80,1,5,2,1,1,0,0,0
+30,No,Travel_Rarely,1329,Sales,29,4,Life Sciences,1,1211,3,Male,61,3,2,Sales Executive,1,Divorced,4115,13192,8,Y,No,19,3,3,80,3,8,3,3,4,3,0,3
+40,No,Travel_Frequently,1184,Sales,2,4,Medical,1,1212,2,Male,62,3,2,Sales Executive,2,Married,4327,25440,5,Y,No,12,3,4,80,3,5,2,3,0,0,0,0
+50,No,Travel_Frequently,1421,Research & Development,2,3,Medical,1,1215,4,Female,30,3,4,Manager,1,Married,17856,9490,2,Y,No,22,4,3,80,1,32,3,3,2,2,2,2
+28,No,Travel_Rarely,1179,Research & Development,19,4,Medical,1,1216,4,Male,78,2,1,Laboratory Technician,1,Married,3196,12449,1,Y,No,12,3,3,80,3,6,2,3,6,5,3,3
+46,No,Travel_Rarely,1450,Research & Development,15,2,Life Sciences,1,1217,4,Male,52,3,5,Research Director,2,Married,19081,10849,5,Y,No,11,3,1,80,1,25,2,3,4,2,0,3
+35,No,Travel_Rarely,1361,Sales,17,4,Life Sciences,1,1218,3,Male,94,3,2,Sales Executive,1,Married,8966,21026,3,Y,Yes,15,3,4,80,3,15,2,3,7,7,1,7
+24,Yes,Travel_Rarely,984,Research & Development,17,2,Life Sciences,1,1219,4,Female,97,3,1,Laboratory Technician,2,Married,2210,3372,1,Y,No,13,3,1,80,1,1,3,1,1,0,0,0
+33,No,Travel_Frequently,1146,Sales,25,3,Medical,1,1220,2,Female,82,3,2,Sales Executive,3,Married,4539,4905,1,Y,No,12,3,1,80,1,10,3,2,10,7,0,1
+36,No,Travel_Rarely,917,Research & Development,6,4,Life Sciences,1,1221,3,Male,60,1,1,Laboratory Technician,3,Divorced,2741,6865,1,Y,No,14,3,3,80,1,7,4,3,7,7,1,7
+30,No,Travel_Rarely,853,Research & Development,7,4,Life Sciences,1,1224,3,Male,49,3,2,Laboratory Technician,3,Divorced,3491,11309,1,Y,No,13,3,1,80,3,10,4,2,10,7,8,9
+44,No,Travel_Rarely,200,Research & Development,29,4,Other,1,1225,4,Male,32,3,2,Research Scientist,4,Single,4541,7744,1,Y,No,25,4,2,80,0,20,3,3,20,11,13,17
+20,No,Travel_Rarely,654,Sales,21,3,Marketing,1,1226,3,Male,43,4,1,Sales Representative,4,Single,2678,5050,1,Y,No,17,3,4,80,0,2,2,3,2,1,2,2
+46,No,Travel_Rarely,150,Research & Development,2,4,Technical Degree,1,1228,4,Male,60,3,2,Manufacturing Director,4,Divorced,7379,17433,2,Y,No,11,3,3,80,1,12,3,2,6,3,1,4
+42,No,Non-Travel,179,Human Resources,2,5,Medical,1,1231,4,Male,79,4,2,Human Resources,1,Married,6272,12858,7,Y,No,16,3,1,80,1,10,3,4,4,3,0,3
+60,No,Travel_Rarely,696,Sales,7,4,Marketing,1,1233,2,Male,52,4,2,Sales Executive,4,Divorced,5220,10893,0,Y,Yes,18,3,2,80,1,12,3,3,11,7,1,9
+32,No,Travel_Frequently,116,Research & Development,13,3,Other,1,1234,3,Female,77,2,1,Laboratory Technician,2,Married,2743,7331,1,Y,No,20,4,3,80,1,2,2,3,2,2,2,2
+32,No,Travel_Frequently,1316,Research & Development,2,2,Life Sciences,1,1235,4,Female,38,3,2,Research Scientist,3,Single,4998,2338,4,Y,Yes,14,3,4,80,0,10,2,3,8,7,0,7
+36,No,Travel_Rarely,363,Research & Development,1,3,Technical Degree,1,1237,3,Female,77,1,3,Manufacturing Director,1,Divorced,10252,4235,2,Y,Yes,21,4,3,80,1,17,2,3,7,7,7,7
+33,No,Travel_Rarely,117,Research & Development,9,3,Medical,1,1238,1,Male,60,3,1,Research Scientist,4,Married,2781,6311,0,Y,No,13,3,2,80,1,15,5,3,14,10,4,10
+40,No,Travel_Rarely,107,Sales,10,3,Technical Degree,1,1239,2,Female,84,2,2,Sales Executive,2,Divorced,6852,11591,7,Y,No,12,3,2,80,1,7,2,4,5,1,1,3
+25,No,Travel_Rarely,1356,Sales,10,4,Life Sciences,1,1240,3,Male,57,3,2,Sales Executive,4,Single,4950,20623,0,Y,No,14,3,2,80,0,5,4,3,4,3,1,1
+30,No,Travel_Rarely,1465,Research & Development,1,3,Medical,1,1241,4,Male,63,3,1,Research Scientist,2,Married,3579,9369,0,Y,Yes,21,4,1,80,1,12,2,3,11,9,5,7
+42,No,Travel_Frequently,458,Research & Development,26,5,Medical,1,1242,1,Female,60,3,3,Research Director,1,Married,13191,23281,3,Y,Yes,17,3,3,80,0,20,6,3,1,0,0,0
+35,No,Non-Travel,1212,Sales,8,2,Marketing,1,1243,3,Female,78,2,3,Sales Executive,4,Married,10377,13755,4,Y,Yes,11,3,2,80,1,16,6,2,13,2,4,12
+27,No,Travel_Rarely,1103,Research & Development,14,3,Life Sciences,1,1244,1,Male,42,3,1,Research Scientist,1,Married,2235,14377,1,Y,Yes,14,3,4,80,2,9,3,2,9,7,6,8
+54,No,Travel_Frequently,966,Research & Development,1,4,Life Sciences,1,1245,4,Female,53,3,3,Manufacturing Director,3,Divorced,10502,9659,7,Y,No,17,3,1,80,1,33,2,1,5,4,1,4
+44,No,Travel_Rarely,1117,Research & Development,2,1,Life Sciences,1,1246,1,Female,72,4,1,Research Scientist,4,Married,2011,19982,1,Y,No,13,3,4,80,1,10,5,3,10,5,7,7
+19,Yes,Non-Travel,504,Research & Development,10,3,Medical,1,1248,1,Female,96,2,1,Research Scientist,2,Single,1859,6148,1,Y,Yes,25,4,2,80,0,1,2,4,1,1,0,0
+29,No,Travel_Rarely,1010,Research & Development,1,3,Life Sciences,1,1249,1,Female,97,3,1,Research Scientist,4,Divorced,3760,5598,1,Y,No,15,3,1,80,3,3,5,3,3,2,1,2
+54,No,Travel_Rarely,685,Research & Development,3,3,Life Sciences,1,1250,4,Male,85,3,4,Research Director,4,Married,17779,23474,3,Y,No,14,3,1,80,0,36,2,3,10,9,0,9
+31,No,Travel_Rarely,1332,Research & Development,11,2,Medical,1,1251,3,Male,80,3,2,Healthcare Representative,1,Married,6833,17089,1,Y,Yes,12,3,4,80,0,6,2,2,6,5,0,1
+31,No,Travel_Rarely,1062,Research & Development,24,3,Medical,1,1252,3,Female,96,2,2,Healthcare Representative,1,Single,6812,17198,1,Y,No,19,3,2,80,0,10,2,3,10,9,1,8
+59,No,Travel_Rarely,326,Sales,3,3,Life Sciences,1,1254,3,Female,48,2,2,Sales Executive,4,Single,5171,16490,5,Y,No,17,3,4,80,0,13,2,3,6,1,0,5
+43,No,Travel_Rarely,920,Research & Development,3,3,Life Sciences,1,1255,3,Male,96,1,5,Research Director,4,Married,19740,18625,3,Y,No,14,3,2,80,1,25,2,3,8,7,0,7
+49,No,Travel_Rarely,1098,Research & Development,4,2,Medical,1,1256,1,Male,85,2,5,Manager,3,Married,18711,12124,2,Y,No,13,3,3,80,1,23,2,4,1,0,0,0
+36,No,Travel_Frequently,469,Research & Development,3,3,Technical Degree,1,1257,3,Male,46,3,1,Research Scientist,2,Married,3692,9256,1,Y,No,12,3,3,80,0,12,2,2,11,10,0,7
+48,No,Travel_Rarely,969,Research & Development,2,2,Technical Degree,1,1258,4,Male,76,4,1,Laboratory Technician,2,Single,2559,16620,5,Y,No,11,3,3,80,0,7,4,2,1,0,0,0
+27,No,Travel_Rarely,1167,Research & Development,4,2,Life Sciences,1,1259,1,Male,76,3,1,Research Scientist,3,Divorced,2517,3208,1,Y,No,11,3,2,80,3,5,2,3,5,3,0,3
+29,No,Travel_Rarely,1329,Research & Development,7,3,Life Sciences,1,1260,3,Male,82,3,2,Healthcare Representative,4,Divorced,6623,4204,1,Y,Yes,11,3,2,80,2,6,2,3,6,0,1,0
+48,No,Travel_Rarely,715,Research & Development,1,3,Life Sciences,1,1263,4,Male,76,2,5,Research Director,4,Single,18265,8733,6,Y,No,12,3,3,80,0,25,3,4,1,0,0,0
+29,No,Travel_Rarely,694,Research & Development,1,3,Life Sciences,1,1264,4,Female,87,2,4,Research Director,4,Divorced,16124,3423,3,Y,No,14,3,2,80,2,9,2,2,7,7,1,7
+34,No,Travel_Rarely,1320,Research & Development,20,3,Technical Degree,1,1265,3,Female,89,4,1,Research Scientist,3,Married,2585,21643,0,Y,No,17,3,4,80,0,2,5,2,1,0,0,0
+44,No,Travel_Rarely,1099,Sales,5,3,Marketing,1,1267,2,Male,88,3,5,Manager,2,Married,18213,8751,7,Y,No,11,3,3,80,1,26,5,3,22,9,3,10
+33,No,Travel_Rarely,536,Sales,10,5,Marketing,1,1268,4,Male,82,4,3,Sales Executive,3,Divorced,8380,21708,0,Y,Yes,14,3,4,80,2,10,3,3,9,8,0,8
+19,No,Travel_Rarely,265,Research & Development,25,3,Life Sciences,1,1269,2,Female,57,4,1,Research Scientist,4,Single,2994,21221,1,Y,Yes,12,3,4,80,0,1,2,3,1,0,0,1
+23,No,Travel_Rarely,373,Research & Development,1,2,Life Sciences,1,1270,4,Male,47,3,1,Research Scientist,3,Married,1223,16901,1,Y,No,22,4,4,80,1,1,2,3,1,0,0,1
+25,Yes,Travel_Frequently,599,Sales,24,1,Life Sciences,1,1273,3,Male,73,1,1,Sales Representative,4,Single,1118,8040,1,Y,Yes,14,3,4,80,0,1,4,3,1,0,1,0
+26,No,Travel_Rarely,583,Research & Development,4,2,Life Sciences,1,1275,3,Male,53,3,1,Research Scientist,4,Single,2875,9973,1,Y,Yes,20,4,2,80,0,8,2,2,8,5,2,2
+45,Yes,Travel_Rarely,1449,Sales,2,3,Marketing,1,1277,1,Female,94,1,5,Manager,2,Single,18824,2493,2,Y,Yes,16,3,1,80,0,26,2,3,24,10,1,11
+55,No,Non-Travel,177,Research & Development,8,1,Medical,1,1278,4,Male,37,2,4,Healthcare Representative,2,Divorced,13577,25592,1,Y,Yes,15,3,4,80,1,34,3,3,33,9,15,0
+21,Yes,Travel_Frequently,251,Research & Development,10,2,Life Sciences,1,1279,1,Female,45,2,1,Laboratory Technician,3,Single,2625,25308,1,Y,No,20,4,3,80,0,2,2,1,2,2,2,2
+46,No,Travel_Rarely,168,Sales,4,2,Marketing,1,1280,4,Female,33,2,5,Manager,2,Married,18789,9946,2,Y,No,14,3,3,80,1,26,2,3,11,4,0,8
+34,No,Travel_Rarely,131,Sales,2,3,Marketing,1,1281,3,Female,86,3,2,Sales Executive,1,Single,4538,6039,0,Y,Yes,12,3,4,80,0,4,3,3,3,2,0,2
+51,No,Travel_Frequently,237,Sales,9,3,Life Sciences,1,1282,4,Male,83,3,5,Manager,2,Divorced,19847,19196,4,Y,Yes,24,4,1,80,1,31,5,2,29,10,11,10
+59,No,Travel_Rarely,1429,Research & Development,18,4,Medical,1,1283,4,Male,67,3,3,Manufacturing Director,4,Single,10512,20002,6,Y,No,12,3,4,80,0,25,6,2,9,7,5,4
+34,No,Travel_Frequently,135,Research & Development,19,3,Medical,1,1285,3,Female,46,3,2,Laboratory Technician,2,Divorced,4444,22534,4,Y,No,13,3,3,80,2,15,2,4,11,8,5,10
+28,No,Travel_Frequently,791,Research & Development,1,4,Medical,1,1286,4,Male,44,3,1,Laboratory Technician,3,Single,2154,6842,0,Y,Yes,11,3,3,80,0,5,2,2,4,2,0,2
+44,No,Travel_Rarely,1199,Research & Development,4,2,Life Sciences,1,1288,3,Male,92,4,5,Manager,1,Divorced,19190,17477,1,Y,No,14,3,4,80,2,26,4,2,25,9,14,13
+34,No,Travel_Frequently,648,Human Resources,11,3,Life Sciences,1,1289,3,Male,56,2,2,Human Resources,2,Married,4490,21833,4,Y,No,11,3,4,80,2,14,5,4,10,9,1,8
+35,No,Travel_Rarely,735,Research & Development,6,1,Life Sciences,1,1291,3,Male,66,3,1,Research Scientist,3,Married,3506,6020,0,Y,Yes,14,3,4,80,0,4,3,3,3,2,2,2
+42,No,Travel_Rarely,603,Research & Development,7,4,Medical,1,1292,2,Female,78,4,2,Research Scientist,2,Married,2372,5628,6,Y,Yes,16,3,4,80,0,18,2,3,1,0,0,0
+43,No,Travel_Rarely,531,Sales,4,4,Marketing,1,1293,4,Female,56,2,3,Sales Executive,4,Single,10231,20364,3,Y,No,14,3,4,80,0,23,3,4,21,7,15,17
+36,No,Travel_Rarely,429,Research & Development,2,4,Life Sciences,1,1294,3,Female,53,3,2,Manufacturing Director,2,Single,5410,2323,9,Y,Yes,11,3,4,80,0,18,2,3,16,14,5,12
+44,Yes,Travel_Rarely,621,Research & Development,15,3,Medical,1,1295,1,Female,73,3,3,Healthcare Representative,4,Married,7978,14075,1,Y,No,11,3,4,80,1,10,2,3,10,7,0,5
+28,No,Travel_Frequently,193,Research & Development,2,3,Life Sciences,1,1296,4,Male,52,2,1,Laboratory Technician,4,Married,3867,14222,1,Y,Yes,12,3,2,80,1,2,2,3,2,2,2,2
+51,No,Travel_Frequently,968,Research & Development,6,2,Medical,1,1297,2,Female,40,2,1,Laboratory Technician,3,Single,2838,4257,0,Y,No,14,3,2,80,0,8,6,2,7,0,7,7
+30,No,Non-Travel,879,Research & Development,9,2,Medical,1,1298,3,Female,72,3,2,Manufacturing Director,3,Single,4695,12858,7,Y,Yes,18,3,3,80,0,10,3,3,8,4,1,7
+29,Yes,Travel_Rarely,806,Research & Development,7,3,Technical Degree,1,1299,2,Female,39,3,1,Laboratory Technician,3,Divorced,3339,17285,3,Y,Yes,13,3,1,80,2,10,2,3,7,7,7,7
+28,No,Travel_Rarely,640,Research & Development,1,3,Technical Degree,1,1301,4,Male,84,3,1,Research Scientist,1,Single,2080,4732,2,Y,No,11,3,2,80,0,5,2,2,3,2,1,2
+25,No,Travel_Rarely,266,Research & Development,1,3,Medical,1,1303,4,Female,40,3,1,Research Scientist,2,Single,2096,18830,1,Y,No,18,3,4,80,0,2,3,2,2,2,2,1
+32,No,Travel_Rarely,604,Sales,8,3,Medical,1,1304,3,Male,56,4,2,Sales Executive,4,Married,6209,11693,1,Y,No,15,3,3,80,2,10,4,4,10,7,0,8
+45,No,Travel_Frequently,364,Research & Development,25,3,Medical,1,1306,2,Female,83,3,5,Manager,2,Single,18061,13035,3,Y,No,22,4,3,80,0,22,4,3,0,0,0,0
+39,No,Travel_Rarely,412,Research & Development,13,4,Medical,1,1307,3,Female,94,2,4,Manager,2,Divorced,17123,17334,6,Y,Yes,13,3,4,80,2,21,4,3,19,9,15,2
+58,No,Travel_Rarely,848,Research & Development,23,4,Life Sciences,1,1308,1,Male,88,3,1,Research Scientist,3,Divorced,2372,26076,1,Y,No,12,3,4,80,2,2,3,3,2,2,2,2
+32,Yes,Travel_Rarely,1089,Research & Development,7,2,Life Sciences,1,1309,4,Male,79,3,2,Laboratory Technician,3,Married,4883,22845,1,Y,No,18,3,1,80,1,10,3,3,10,4,1,1
+39,Yes,Travel_Rarely,360,Research & Development,23,3,Medical,1,1310,3,Male,93,3,1,Research Scientist,1,Single,3904,22154,0,Y,No,13,3,1,80,0,6,2,3,5,2,0,3
+30,No,Travel_Rarely,1138,Research & Development,6,3,Technical Degree,1,1311,1,Female,48,2,2,Laboratory Technician,4,Married,4627,23631,0,Y,No,12,3,1,80,1,10,6,3,9,2,6,7
+36,No,Travel_Rarely,325,Research & Development,10,4,Technical Degree,1,1312,4,Female,63,3,3,Healthcare Representative,3,Married,7094,5747,3,Y,No,12,3,1,80,0,10,0,3,7,7,1,7
+46,No,Travel_Rarely,991,Human Resources,1,2,Life Sciences,1,1314,4,Female,44,3,1,Human Resources,1,Single,3423,22957,6,Y,No,12,3,3,80,0,10,3,4,7,6,5,7
+28,No,Non-Travel,1476,Research & Development,1,3,Life Sciences,1,1315,3,Female,55,1,2,Laboratory Technician,4,Married,6674,16392,0,Y,No,11,3,1,80,3,10,6,3,9,8,7,5
+50,No,Travel_Rarely,1322,Research & Development,28,3,Life Sciences,1,1317,4,Female,43,3,4,Research Director,1,Married,16880,22422,4,Y,Yes,11,3,2,80,0,25,2,3,3,2,1,2
+40,Yes,Travel_Rarely,299,Sales,25,4,Marketing,1,1318,4,Male,57,2,3,Sales Executive,2,Single,9094,17235,2,Y,Yes,12,3,3,80,0,9,2,3,5,4,1,0
+52,Yes,Travel_Rarely,1030,Sales,5,3,Life Sciences,1,1319,2,Male,64,3,3,Sales Executive,2,Single,8446,21534,9,Y,Yes,19,3,3,80,0,10,2,2,8,7,7,7
+30,No,Travel_Rarely,634,Research & Development,17,4,Medical,1,1321,2,Female,95,3,3,Manager,1,Married,11916,25927,1,Y,Yes,23,4,4,80,2,9,2,3,9,1,0,8
+39,No,Travel_Rarely,524,Research & Development,18,2,Life Sciences,1,1322,1,Male,32,3,2,Manufacturing Director,3,Single,4534,13352,0,Y,No,11,3,1,80,0,9,6,3,8,7,1,7
+31,No,Non-Travel,587,Sales,2,4,Life Sciences,1,1324,4,Female,57,3,3,Sales Executive,3,Divorced,9852,8935,1,Y,Yes,19,3,1,80,1,10,5,2,10,8,9,6
+41,No,Non-Travel,256,Sales,10,2,Medical,1,1329,3,Male,40,1,2,Sales Executive,2,Single,6151,22074,1,Y,No,13,3,1,80,0,19,4,3,19,2,11,9
+31,Yes,Travel_Frequently,1060,Sales,1,3,Life Sciences,1,1331,4,Female,54,3,1,Sales Representative,2,Single,2302,8319,1,Y,Yes,11,3,1,80,0,3,2,4,3,2,2,2
+44,Yes,Travel_Rarely,935,Research & Development,3,3,Life Sciences,1,1333,1,Male,89,3,1,Laboratory Technician,1,Married,2362,14669,4,Y,No,12,3,3,80,0,10,4,4,3,2,1,2
+42,No,Non-Travel,495,Research & Development,2,1,Life Sciences,1,1334,3,Male,37,3,4,Manager,3,Married,17861,26582,0,Y,Yes,13,3,4,80,0,21,3,2,20,8,2,10
+55,No,Travel_Rarely,282,Research & Development,2,2,Medical,1,1336,4,Female,58,1,5,Manager,3,Married,19187,6992,4,Y,No,14,3,4,80,1,23,5,3,19,9,9,11
+56,No,Travel_Rarely,206,Human Resources,8,4,Life Sciences,1,1338,4,Male,99,3,5,Manager,2,Single,19717,4022,6,Y,No,14,3,1,80,0,36,4,3,7,3,7,7
+40,No,Non-Travel,458,Research & Development,16,2,Life Sciences,1,1340,3,Male,74,3,1,Research Scientist,3,Divorced,3544,8532,9,Y,No,16,3,2,80,1,6,0,3,4,2,0,0
+34,No,Travel_Rarely,943,Research & Development,9,3,Life Sciences,1,1344,4,Male,86,3,3,Healthcare Representative,4,Divorced,8500,5494,0,Y,No,11,3,4,80,1,10,0,2,9,7,1,6
+40,No,Travel_Rarely,523,Research & Development,2,3,Life Sciences,1,1346,3,Male,98,3,2,Research Scientist,4,Single,4661,22455,1,Y,No,13,3,3,80,0,9,4,3,9,8,8,8
+41,No,Travel_Frequently,1018,Sales,1,3,Marketing,1,1349,3,Female,66,3,2,Sales Executive,1,Divorced,4103,4297,0,Y,No,17,3,4,80,1,10,2,3,9,3,1,7
+35,No,Travel_Frequently,482,Research & Development,4,4,Life Sciences,1,1350,3,Male,87,3,2,Research Scientist,3,Single,4249,2690,1,Y,Yes,11,3,2,80,0,9,3,3,9,6,1,1
+51,No,Travel_Rarely,770,Human Resources,5,3,Life Sciences,1,1352,3,Male,84,3,4,Manager,2,Divorced,14026,17588,1,Y,Yes,11,3,2,80,1,33,2,3,33,9,0,10
+38,No,Travel_Rarely,1009,Sales,2,2,Life Sciences,1,1355,2,Female,31,3,2,Sales Executive,1,Divorced,6893,19461,3,Y,No,15,3,4,80,1,11,3,3,7,7,1,7
+34,No,Travel_Rarely,507,Sales,15,2,Medical,1,1356,3,Female,66,3,2,Sales Executive,1,Single,6125,23553,1,Y,No,12,3,4,80,0,10,6,4,10,8,9,6
+25,No,Travel_Rarely,882,Research & Development,19,1,Medical,1,1358,4,Male,67,3,1,Laboratory Technician,4,Married,3669,9075,3,Y,No,11,3,3,80,3,7,6,2,3,2,1,2
+58,Yes,Travel_Rarely,601,Research & Development,7,4,Medical,1,1360,3,Female,53,2,3,Manufacturing Director,1,Married,10008,12023,7,Y,Yes,14,3,4,80,0,31,0,2,10,9,5,9
+40,No,Travel_Rarely,329,Research & Development,1,4,Life Sciences,1,1361,2,Male,88,3,1,Laboratory Technician,2,Married,2387,6762,3,Y,No,22,4,3,80,1,7,3,3,4,2,0,3
+36,No,Travel_Frequently,607,Sales,7,3,Marketing,1,1362,1,Female,83,4,2,Sales Executive,1,Married,4639,2261,2,Y,No,16,3,4,80,1,17,2,2,15,7,6,13
+48,No,Travel_Rarely,855,Research & Development,4,3,Life Sciences,1,1363,4,Male,54,3,3,Manufacturing Director,4,Single,7898,18706,1,Y,No,11,3,3,80,0,11,2,3,10,9,0,8
+27,No,Travel_Rarely,1291,Sales,11,3,Medical,1,1364,3,Female,98,4,1,Sales Representative,4,Married,2534,6527,8,Y,No,14,3,2,80,1,5,4,3,1,0,0,0
+51,No,Travel_Rarely,1405,Research & Development,11,2,Technical Degree,1,1367,4,Female,82,2,4,Manufacturing Director,2,Single,13142,24439,3,Y,No,16,3,2,80,0,29,1,2,5,2,0,3
+18,No,Non-Travel,1124,Research & Development,1,3,Life Sciences,1,1368,4,Female,97,3,1,Laboratory Technician,4,Single,1611,19305,1,Y,No,15,3,3,80,0,0,5,4,0,0,0,0
+35,No,Travel_Rarely,817,Research & Development,1,3,Medical,1,1369,4,Female,60,2,2,Laboratory Technician,4,Married,5363,10846,0,Y,No,12,3,2,80,1,10,0,3,9,7,0,0
+27,No,Travel_Frequently,793,Sales,2,1,Life Sciences,1,1371,4,Male,43,1,2,Sales Executive,4,Single,5071,20392,3,Y,No,20,4,2,80,0,8,3,3,6,2,0,0
+55,Yes,Travel_Rarely,267,Sales,13,4,Marketing,1,1372,1,Male,85,4,4,Sales Executive,3,Single,13695,9277,6,Y,Yes,17,3,3,80,0,24,2,2,19,7,3,8
+56,No,Travel_Rarely,1369,Research & Development,23,3,Life Sciences,1,1373,4,Male,68,3,4,Manufacturing Director,2,Married,13402,18235,4,Y,Yes,12,3,1,80,1,33,0,3,19,16,15,9
+34,No,Non-Travel,999,Research & Development,26,1,Technical Degree,1,1374,1,Female,92,2,1,Research Scientist,3,Divorced,2029,15891,1,Y,No,20,4,3,80,3,5,2,3,5,4,0,0
+40,No,Travel_Rarely,1202,Research & Development,2,1,Medical,1,1375,2,Female,89,4,2,Healthcare Representative,3,Divorced,6377,13888,5,Y,No,20,4,2,80,3,15,0,3,12,11,11,8
+34,No,Travel_Rarely,285,Research & Development,29,3,Medical,1,1377,2,Male,86,3,2,Laboratory Technician,3,Married,5429,17491,4,Y,No,13,3,1,80,2,10,1,3,8,7,7,7
+31,Yes,Travel_Frequently,703,Sales,2,3,Life Sciences,1,1379,3,Female,90,2,1,Sales Representative,4,Single,2785,11882,7,Y,No,14,3,3,80,0,3,3,4,1,0,0,0
+35,Yes,Travel_Frequently,662,Sales,18,4,Marketing,1,1380,4,Female,67,3,2,Sales Executive,3,Married,4614,23288,0,Y,Yes,18,3,3,80,1,5,0,2,4,2,3,2
+38,No,Travel_Frequently,693,Research & Development,7,3,Life Sciences,1,1382,4,Male,57,4,1,Research Scientist,3,Divorced,2610,15748,1,Y,No,11,3,4,80,3,4,2,3,4,2,0,3
+34,No,Travel_Rarely,404,Research & Development,2,4,Technical Degree,1,1383,3,Female,98,3,2,Healthcare Representative,4,Single,6687,6163,1,Y,No,11,3,4,80,0,14,2,4,14,11,4,11
+28,No,Travel_Rarely,736,Sales,26,3,Life Sciences,1,1387,3,Male,48,2,2,Sales Executive,1,Married,4724,24232,1,Y,No,11,3,3,80,1,5,0,3,5,3,0,4
+31,Yes,Travel_Rarely,330,Research & Development,22,4,Medical,1,1389,4,Male,98,3,2,Manufacturing Director,3,Married,6179,21057,1,Y,Yes,15,3,4,80,2,10,3,2,10,2,6,7
+39,No,Travel_Rarely,1498,Sales,21,4,Life Sciences,1,1390,1,Male,44,2,2,Sales Executive,4,Married,6120,3567,3,Y,Yes,12,3,4,80,2,8,2,4,5,4,1,4
+51,No,Travel_Frequently,541,Sales,2,3,Marketing,1,1391,2,Male,52,3,3,Sales Executive,2,Married,10596,15395,2,Y,No,11,3,2,80,0,14,5,3,4,2,3,2
+41,No,Travel_Frequently,1200,Research & Development,22,3,Life Sciences,1,1392,4,Female,75,3,2,Research Scientist,4,Divorced,5467,13953,3,Y,Yes,14,3,1,80,2,12,4,2,6,2,3,3
+37,No,Travel_Rarely,1439,Research & Development,4,1,Life Sciences,1,1394,3,Male,54,3,1,Research Scientist,3,Married,2996,5182,7,Y,Yes,15,3,4,80,0,8,2,3,6,4,1,3
+33,No,Travel_Frequently,1111,Sales,5,1,Life Sciences,1,1395,2,Male,61,3,2,Sales Executive,4,Married,9998,19293,6,Y,No,13,3,1,80,0,8,2,4,5,4,1,2
+32,No,Travel_Rarely,499,Sales,2,1,Marketing,1,1396,3,Male,36,3,2,Sales Executive,2,Married,4078,20497,0,Y,Yes,13,3,1,80,3,4,3,2,3,2,1,2
+39,No,Non-Travel,1485,Research & Development,25,2,Life Sciences,1,1397,3,Male,71,3,3,Healthcare Representative,3,Married,10920,3449,3,Y,No,21,4,2,80,1,13,2,3,6,4,0,5
+25,No,Travel_Rarely,1372,Sales,18,1,Life Sciences,1,1399,1,Male,93,4,2,Sales Executive,3,Married,6232,12477,2,Y,No,11,3,2,80,0,6,3,2,3,2,1,2
+52,No,Travel_Frequently,322,Research & Development,28,2,Medical,1,1401,4,Female,59,4,4,Manufacturing Director,3,Married,13247,9731,2,Y,Yes,11,3,2,80,1,24,3,2,5,3,0,2
+43,No,Travel_Rarely,930,Research & Development,6,3,Medical,1,1402,1,Female,73,2,2,Research Scientist,3,Single,4081,20003,1,Y,Yes,14,3,1,80,0,20,3,1,20,7,1,8
+27,No,Travel_Rarely,205,Sales,10,3,Marketing,1,1403,4,Female,98,2,2,Sales Executive,4,Married,5769,7100,1,Y,Yes,11,3,4,80,0,6,3,3,6,2,4,4
+27,Yes,Travel_Rarely,135,Research & Development,17,4,Life Sciences,1,1405,4,Female,51,3,1,Research Scientist,3,Single,2394,25681,1,Y,Yes,13,3,4,80,0,8,2,3,8,2,7,7
+26,No,Travel_Rarely,683,Research & Development,2,1,Medical,1,1407,1,Male,36,2,1,Research Scientist,4,Single,3904,4050,0,Y,No,12,3,4,80,0,5,2,3,4,3,1,1
+42,No,Travel_Rarely,1147,Human Resources,10,3,Human Resources,1,1408,3,Female,31,3,4,Manager,1,Married,16799,16616,0,Y,No,14,3,3,80,1,21,5,3,20,7,0,9
+52,No,Travel_Rarely,258,Research & Development,8,4,Other,1,1409,3,Female,54,3,1,Laboratory Technician,1,Married,2950,17363,9,Y,No,13,3,3,80,0,12,2,1,5,4,0,4
+37,No,Travel_Rarely,1462,Research & Development,11,3,Medical,1,1411,1,Female,94,3,1,Laboratory Technician,3,Single,3629,19106,4,Y,No,18,3,1,80,0,8,6,3,3,2,0,2
+35,No,Travel_Frequently,200,Research & Development,18,2,Life Sciences,1,1412,3,Male,60,3,3,Manufacturing Director,4,Single,9362,19944,2,Y,No,11,3,3,80,0,10,2,3,2,2,2,2
+25,No,Travel_Rarely,949,Research & Development,1,3,Technical Degree,1,1415,1,Male,81,3,1,Laboratory Technician,4,Married,3229,4910,4,Y,No,11,3,2,80,1,7,2,2,3,2,0,2
+26,No,Travel_Rarely,652,Research & Development,7,3,Other,1,1417,3,Male,100,4,1,Laboratory Technician,1,Single,3578,23577,0,Y,No,12,3,4,80,0,8,2,3,7,7,0,7
+29,No,Travel_Rarely,332,Human Resources,17,3,Other,1,1419,2,Male,51,2,3,Human Resources,1,Single,7988,9769,1,Y,No,13,3,1,80,0,10,3,2,10,9,0,9
+49,Yes,Travel_Frequently,1475,Research & Development,28,2,Life Sciences,1,1420,1,Male,97,2,2,Laboratory Technician,1,Single,4284,22710,3,Y,No,20,4,1,80,0,20,2,3,4,3,1,3
+29,Yes,Travel_Frequently,337,Research & Development,14,1,Other,1,1421,3,Female,84,3,3,Healthcare Representative,4,Single,7553,22930,0,Y,Yes,12,3,1,80,0,9,1,3,8,7,7,7
+54,No,Travel_Rarely,971,Research & Development,1,3,Medical,1,1422,4,Female,54,3,4,Research Director,4,Single,17328,5652,6,Y,No,19,3,4,80,0,29,3,2,20,7,12,7
+58,No,Travel_Rarely,1055,Research & Development,1,3,Medical,1,1423,4,Female,76,3,5,Research Director,1,Married,19701,22456,3,Y,Yes,21,4,3,80,1,32,3,3,9,8,1,5
+55,No,Travel_Rarely,1136,Research & Development,1,4,Medical,1,1424,2,Male,81,4,4,Research Director,4,Divorced,14732,12414,2,Y,No,13,3,4,80,2,31,4,4,7,7,0,0
+36,No,Travel_Rarely,1174,Sales,3,4,Marketing,1,1425,1,Female,99,3,2,Sales Executive,2,Single,9278,20763,3,Y,Yes,16,3,4,80,0,15,3,3,5,4,0,1
+31,Yes,Travel_Frequently,667,Sales,1,4,Life Sciences,1,1427,2,Female,50,1,1,Sales Representative,3,Single,1359,16154,1,Y,No,12,3,2,80,0,1,3,3,1,0,0,0
+30,No,Travel_Rarely,855,Sales,7,4,Marketing,1,1428,4,Female,73,3,2,Sales Executive,1,Divorced,4779,12761,7,Y,No,14,3,2,80,2,8,3,3,3,2,0,2
+31,No,Travel_Rarely,182,Research & Development,8,5,Life Sciences,1,1430,1,Female,93,3,4,Research Director,2,Single,16422,8847,3,Y,No,11,3,3,80,0,9,3,4,3,2,1,0
+34,No,Travel_Frequently,560,Research & Development,1,4,Other,1,1431,4,Male,91,3,1,Research Scientist,1,Divorced,2996,20284,5,Y,No,14,3,3,80,2,10,2,3,4,3,1,3
+31,Yes,Travel_Rarely,202,Research & Development,8,3,Life Sciences,1,1433,1,Female,34,2,1,Research Scientist,2,Single,1261,22262,1,Y,No,12,3,3,80,0,1,3,4,1,0,0,0
+27,No,Travel_Rarely,1377,Research & Development,11,1,Life Sciences,1,1434,2,Male,91,3,1,Laboratory Technician,1,Married,2099,7679,0,Y,No,14,3,2,80,0,6,3,4,5,0,1,4
+36,No,Travel_Rarely,172,Research & Development,4,4,Life Sciences,1,1435,1,Male,37,2,2,Laboratory Technician,4,Single,5810,22604,1,Y,No,16,3,3,80,0,10,2,2,10,4,1,8
+36,No,Travel_Rarely,329,Sales,16,4,Marketing,1,1436,3,Female,98,2,2,Sales Executive,1,Married,5647,13494,4,Y,No,13,3,1,80,2,11,3,2,3,2,0,2
+47,No,Travel_Rarely,465,Research & Development,1,3,Technical Degree,1,1438,1,Male,74,3,1,Research Scientist,4,Married,3420,10205,7,Y,No,12,3,3,80,1,17,2,2,6,5,1,2
+25,Yes,Travel_Rarely,383,Sales,9,2,Life Sciences,1,1439,1,Male,68,2,1,Sales Representative,1,Married,4400,15182,3,Y,No,12,3,1,80,0,6,2,3,3,2,2,2
+37,No,Non-Travel,1413,Research & Development,5,2,Technical Degree,1,1440,3,Male,84,4,1,Laboratory Technician,3,Single,3500,25470,0,Y,No,14,3,1,80,0,7,2,1,6,5,1,3
+56,No,Travel_Rarely,1255,Research & Development,1,2,Life Sciences,1,1441,1,Female,90,3,1,Research Scientist,1,Married,2066,10494,2,Y,No,22,4,4,80,1,5,3,4,3,2,1,0
+47,No,Travel_Rarely,359,Research & Development,2,4,Medical,1,1443,1,Female,82,3,4,Research Director,3,Married,17169,26703,3,Y,No,19,3,2,80,2,26,2,4,20,17,5,6
+24,No,Travel_Rarely,1476,Sales,4,1,Medical,1,1445,4,Female,42,3,2,Sales Executive,3,Married,4162,15211,1,Y,Yes,12,3,3,80,2,5,3,3,5,4,0,3
+32,No,Travel_Rarely,601,Sales,7,5,Marketing,1,1446,4,Male,97,3,2,Sales Executive,4,Married,9204,23343,4,Y,No,12,3,3,80,1,7,3,2,4,3,0,3
+34,No,Travel_Rarely,401,Research & Development,1,3,Life Sciences,1,1447,4,Female,86,2,1,Laboratory Technician,2,Married,3294,3708,5,Y,No,17,3,1,80,1,7,2,2,5,4,0,2
+41,No,Travel_Rarely,1283,Research & Development,5,5,Medical,1,1448,2,Male,90,4,1,Research Scientist,3,Married,2127,5561,2,Y,Yes,12,3,1,80,0,7,5,2,4,2,0,3
+40,No,Non-Travel,663,Research & Development,9,4,Other,1,1449,3,Male,81,3,2,Laboratory Technician,3,Divorced,3975,23099,3,Y,No,11,3,3,80,2,11,2,4,8,7,0,7
+31,No,Travel_Rarely,326,Sales,8,2,Life Sciences,1,1453,1,Male,31,3,3,Sales Executive,4,Divorced,10793,8386,1,Y,No,18,3,1,80,1,13,5,3,13,7,9,9
+46,Yes,Travel_Rarely,377,Sales,9,3,Marketing,1,1457,1,Male,52,3,3,Sales Executive,4,Divorced,10096,15986,4,Y,No,11,3,1,80,1,28,1,4,7,7,4,3
+39,Yes,Non-Travel,592,Research & Development,2,3,Life Sciences,1,1458,1,Female,54,2,1,Laboratory Technician,1,Single,3646,17181,2,Y,Yes,23,4,2,80,0,11,2,4,1,0,0,0
+31,Yes,Travel_Frequently,1445,Research & Development,1,5,Life Sciences,1,1459,3,Female,100,4,3,Manufacturing Director,2,Single,7446,8931,1,Y,No,11,3,1,80,0,10,2,3,10,8,4,7
+45,No,Travel_Rarely,1038,Research & Development,20,3,Medical,1,1460,2,Male,95,1,3,Healthcare Representative,1,Divorced,10851,19863,2,Y,Yes,18,3,2,80,1,24,2,3,7,7,0,7
+31,No,Travel_Rarely,1398,Human Resources,8,2,Medical,1,1461,4,Female,96,4,1,Human Resources,2,Single,2109,24609,9,Y,No,18,3,4,80,0,8,3,3,3,2,0,2
+31,Yes,Travel_Frequently,523,Research & Development,2,3,Life Sciences,1,1464,2,Male,94,3,1,Laboratory Technician,4,Married,3722,21081,6,Y,Yes,13,3,3,80,1,7,2,1,2,2,2,2
+45,No,Travel_Rarely,1448,Research & Development,29,3,Technical Degree,1,1465,2,Male,55,3,3,Manufacturing Director,4,Married,9380,14720,4,Y,Yes,18,3,4,80,2,10,4,4,3,1,1,2
+48,No,Travel_Rarely,1221,Sales,7,3,Marketing,1,1466,3,Male,96,3,2,Sales Executive,1,Divorced,5486,24795,4,Y,No,11,3,1,80,3,15,3,3,2,2,2,2
+34,Yes,Travel_Rarely,1107,Human Resources,9,4,Technical Degree,1,1467,1,Female,52,3,1,Human Resources,3,Married,2742,3072,1,Y,No,15,3,4,80,0,2,0,3,2,2,2,2
+40,No,Non-Travel,218,Research & Development,8,1,Medical,1,1468,4,Male,55,2,3,Research Director,2,Divorced,13757,25178,2,Y,No,11,3,3,80,1,16,5,3,9,8,4,8
+28,No,Travel_Rarely,866,Sales,5,3,Medical,1,1469,4,Male,84,3,2,Sales Executive,1,Single,8463,23490,0,Y,No,18,3,4,80,0,6,4,3,5,4,1,3
+44,No,Non-Travel,981,Research & Development,5,3,Life Sciences,1,1471,3,Male,90,2,1,Laboratory Technician,3,Single,3162,7973,3,Y,No,14,3,4,80,0,7,5,3,5,2,0,3
+53,No,Travel_Rarely,447,Research & Development,2,3,Medical,1,1472,4,Male,39,4,4,Research Director,2,Single,16598,19764,4,Y,No,12,3,2,80,0,35,2,2,9,8,8,8
+49,No,Travel_Rarely,1495,Research & Development,5,4,Technical Degree,1,1473,1,Male,96,3,2,Healthcare Representative,3,Married,6651,21534,2,Y,No,14,3,2,80,1,20,0,2,3,2,1,2
+40,No,Travel_Rarely,896,Research & Development,2,3,Medical,1,1474,3,Male,68,3,1,Research Scientist,3,Divorced,2345,8045,2,Y,No,14,3,3,80,1,8,3,4,3,1,1,2
+44,No,Travel_Rarely,1467,Research & Development,20,3,Life Sciences,1,1475,4,Male,49,3,1,Research Scientist,2,Single,3420,21158,1,Y,No,13,3,3,80,0,6,3,2,5,2,1,3
+33,No,Travel_Frequently,430,Sales,7,3,Medical,1,1477,4,Male,54,3,2,Sales Executive,1,Married,4373,17456,0,Y,No,14,3,1,80,2,5,2,3,4,3,0,3
+34,No,Travel_Rarely,1326,Sales,3,3,Other,1,1478,4,Male,81,1,2,Sales Executive,1,Single,4759,15891,3,Y,No,18,3,4,80,0,15,2,3,13,9,3,12
+30,No,Travel_Rarely,1358,Sales,16,1,Life Sciences,1,1479,4,Male,96,3,2,Sales Executive,3,Married,5301,2939,8,Y,No,15,3,3,80,2,4,2,2,2,1,2,2
+42,No,Travel_Frequently,748,Research & Development,9,2,Medical,1,1480,1,Female,74,3,1,Laboratory Technician,4,Single,3673,16458,1,Y,No,13,3,3,80,0,12,3,3,12,9,5,8
+44,No,Travel_Frequently,383,Sales,1,5,Marketing,1,1481,1,Female,79,3,2,Sales Executive,3,Married,4768,9282,7,Y,No,12,3,3,80,1,11,4,2,1,0,0,0
+30,No,Non-Travel,990,Research & Development,7,3,Technical Degree,1,1482,3,Male,64,3,1,Research Scientist,3,Divorced,1274,7152,1,Y,No,13,3,2,80,2,1,2,2,1,0,0,0
+57,No,Travel_Rarely,405,Research & Development,1,2,Life Sciences,1,1483,2,Male,93,4,2,Research Scientist,3,Married,4900,2721,0,Y,No,24,4,1,80,1,13,2,2,12,9,2,8
+49,No,Travel_Rarely,1490,Research & Development,7,4,Life Sciences,1,1484,3,Male,35,3,3,Healthcare Representative,2,Divorced,10466,20948,3,Y,No,14,3,2,80,2,29,3,3,8,7,0,7
+34,No,Travel_Frequently,829,Research & Development,15,3,Medical,1,1485,2,Male,71,3,4,Research Director,1,Divorced,17007,11929,7,Y,No,14,3,4,80,2,16,3,2,14,8,6,9
+28,Yes,Travel_Frequently,1496,Sales,1,3,Technical Degree,1,1486,1,Male,92,3,1,Sales Representative,3,Married,2909,15747,3,Y,No,15,3,4,80,1,5,3,4,3,2,1,2
+29,Yes,Travel_Frequently,115,Sales,13,3,Technical Degree,1,1487,1,Female,51,3,2,Sales Executive,2,Single,5765,17485,5,Y,No,11,3,1,80,0,7,4,1,5,3,0,0
+34,Yes,Travel_Rarely,790,Sales,24,4,Medical,1,1489,1,Female,40,2,2,Sales Executive,2,Single,4599,7815,0,Y,Yes,23,4,3,80,0,16,2,4,15,9,10,10
+35,No,Travel_Rarely,660,Sales,7,1,Life Sciences,1,1492,4,Male,76,3,1,Sales Representative,3,Married,2404,16192,1,Y,No,13,3,1,80,1,1,3,3,1,0,0,0
+24,Yes,Travel_Frequently,381,Research & Development,9,3,Medical,1,1494,2,Male,89,3,1,Laboratory Technician,1,Single,3172,16998,2,Y,Yes,11,3,3,80,0,4,2,2,0,0,0,0
+24,No,Non-Travel,830,Sales,13,2,Life Sciences,1,1495,4,Female,78,3,1,Sales Representative,2,Married,2033,7103,1,Y,No,13,3,3,80,1,1,2,3,1,0,0,0
+44,No,Travel_Frequently,1193,Research & Development,2,1,Medical,1,1496,2,Male,86,3,3,Manufacturing Director,3,Single,10209,19719,5,Y,Yes,18,3,2,80,0,16,2,2,2,2,2,2
+29,No,Travel_Rarely,1246,Sales,19,3,Life Sciences,1,1497,3,Male,77,2,2,Sales Executive,3,Divorced,8620,23757,1,Y,No,14,3,3,80,2,10,3,3,10,7,0,4
+30,No,Travel_Rarely,330,Human Resources,1,3,Life Sciences,1,1499,3,Male,46,3,1,Human Resources,3,Divorced,2064,15428,0,Y,No,21,4,1,80,1,6,3,4,5,3,1,3
+55,No,Travel_Rarely,1229,Research & Development,4,4,Life Sciences,1,1501,4,Male,30,3,2,Healthcare Representative,3,Married,4035,16143,0,Y,Yes,16,3,2,80,0,4,2,3,3,2,1,2
+33,No,Travel_Rarely,1099,Research & Development,4,4,Medical,1,1502,1,Female,82,2,1,Laboratory Technician,2,Married,3838,8192,8,Y,No,11,3,4,80,0,8,5,3,5,4,0,2
+47,No,Travel_Rarely,571,Sales,14,3,Medical,1,1503,3,Female,78,3,2,Sales Executive,3,Married,4591,24200,3,Y,Yes,17,3,3,80,1,11,4,2,5,4,1,2
+28,Yes,Travel_Frequently,289,Research & Development,2,2,Medical,1,1504,3,Male,38,2,1,Laboratory Technician,1,Single,2561,5355,7,Y,No,11,3,3,80,0,8,2,2,0,0,0,0
+28,No,Travel_Rarely,1423,Research & Development,1,3,Life Sciences,1,1506,1,Male,72,2,1,Research Scientist,3,Divorced,1563,12530,1,Y,No,14,3,4,80,1,1,2,1,1,0,0,0
+28,No,Travel_Frequently,467,Sales,7,3,Life Sciences,1,1507,3,Male,55,3,2,Sales Executive,1,Single,4898,11827,0,Y,No,14,3,4,80,0,5,5,3,4,2,1,3
+49,No,Travel_Rarely,271,Research & Development,3,2,Medical,1,1509,3,Female,43,2,2,Laboratory Technician,1,Married,4789,23070,4,Y,No,25,4,1,80,1,10,3,3,3,2,1,2
+29,No,Travel_Frequently,410,Research & Development,2,1,Life Sciences,1,1513,4,Female,97,3,1,Laboratory Technician,2,Married,3180,4668,0,Y,No,13,3,3,80,3,4,3,3,3,2,0,2
+28,No,Travel_Rarely,1083,Research & Development,29,1,Life Sciences,1,1514,3,Male,96,1,2,Manufacturing Director,2,Married,6549,3173,1,Y,No,14,3,2,80,2,8,2,2,8,6,1,7
+33,No,Travel_Rarely,516,Research & Development,8,5,Life Sciences,1,1515,4,Male,69,3,2,Healthcare Representative,3,Single,6388,22049,2,Y,Yes,17,3,1,80,0,14,6,3,0,0,0,0
+32,No,Travel_Rarely,495,Research & Development,10,3,Medical,1,1516,3,Male,64,3,3,Manager,4,Single,11244,21072,2,Y,No,25,4,2,80,0,10,5,4,5,2,0,0
+54,No,Travel_Frequently,1050,Research & Development,11,4,Medical,1,1520,2,Female,87,3,4,Manager,4,Divorced,16032,24456,3,Y,No,20,4,1,80,1,26,2,3,14,9,1,12
+29,Yes,Travel_Rarely,224,Research & Development,1,4,Technical Degree,1,1522,1,Male,100,2,1,Research Scientist,1,Single,2362,7568,6,Y,No,13,3,3,80,0,11,2,1,9,7,0,7
+44,No,Travel_Rarely,136,Research & Development,28,3,Life Sciences,1,1523,4,Male,32,3,4,Research Director,1,Married,16328,22074,3,Y,No,13,3,3,80,1,24,1,4,20,6,14,17
+39,No,Travel_Rarely,1089,Research & Development,6,3,Life Sciences,1,1525,2,Female,32,3,3,Manufacturing Director,2,Single,8376,9150,4,Y,No,18,3,4,80,0,9,3,3,2,0,2,2
+46,No,Travel_Rarely,228,Sales,3,3,Life Sciences,1,1527,3,Female,51,3,4,Manager,2,Married,16606,11380,8,Y,No,12,3,4,80,1,23,2,4,13,12,5,1
+35,No,Travel_Rarely,1029,Research & Development,16,3,Life Sciences,1,1529,4,Female,91,2,3,Healthcare Representative,2,Single,8606,21195,1,Y,No,19,3,4,80,0,11,3,1,11,8,3,3
+23,No,Travel_Rarely,507,Research & Development,20,1,Life Sciences,1,1533,1,Male,97,3,2,Laboratory Technician,3,Single,2272,24812,0,Y,No,14,3,2,80,0,5,2,3,4,3,1,2
+40,Yes,Travel_Rarely,676,Research & Development,9,4,Life Sciences,1,1534,4,Male,86,3,1,Laboratory Technician,1,Single,2018,21831,3,Y,No,14,3,2,80,0,15,3,1,5,4,1,0
+34,No,Travel_Rarely,971,Sales,1,3,Technical Degree,1,1535,4,Male,64,2,3,Sales Executive,3,Married,7083,12288,1,Y,Yes,14,3,4,80,0,10,3,3,10,9,8,6
+31,Yes,Travel_Frequently,561,Research & Development,3,3,Life Sciences,1,1537,4,Female,33,3,1,Research Scientist,3,Single,4084,4156,1,Y,No,12,3,1,80,0,7,2,1,7,2,7,7
+50,No,Travel_Frequently,333,Research & Development,22,5,Medical,1,1539,3,Male,88,1,4,Research Director,4,Single,14411,24450,1,Y,Yes,13,3,4,80,0,32,2,3,32,6,13,9
+34,No,Travel_Rarely,1440,Sales,7,2,Technical Degree,1,1541,2,Male,55,3,1,Sales Representative,3,Married,2308,4944,0,Y,Yes,25,4,2,80,1,12,4,3,11,10,5,7
+42,No,Travel_Rarely,1210,Research & Development,2,3,Medical,1,1542,3,Male,68,2,1,Laboratory Technician,2,Married,4841,24052,4,Y,No,14,3,2,80,1,4,3,3,1,0,0,0
+37,No,Travel_Rarely,674,Research & Development,13,3,Medical,1,1543,1,Male,47,3,2,Research Scientist,4,Married,4285,3031,1,Y,No,17,3,1,80,0,10,2,3,10,8,3,7
+29,No,Travel_Rarely,441,Research & Development,8,1,Other,1,1544,3,Female,39,1,2,Healthcare Representative,1,Married,9715,7288,3,Y,No,13,3,3,80,1,9,3,3,7,7,0,7
+33,No,Travel_Rarely,575,Research & Development,25,3,Life Sciences,1,1545,4,Male,44,2,2,Manufacturing Director,2,Single,4320,24152,1,Y,No,13,3,4,80,0,5,2,3,5,3,0,2
+45,No,Travel_Rarely,950,Research & Development,28,3,Technical Degree,1,1546,4,Male,97,3,1,Research Scientist,4,Married,2132,4585,4,Y,No,20,4,4,80,1,8,3,3,5,4,0,3
+42,No,Travel_Frequently,288,Research & Development,2,3,Life Sciences,1,1547,4,Male,40,3,3,Healthcare Representative,4,Married,10124,18611,2,Y,Yes,14,3,3,80,1,24,3,1,20,8,13,9
+40,No,Travel_Rarely,1342,Sales,9,2,Medical,1,1548,1,Male,47,3,2,Sales Executive,1,Married,5473,19345,0,Y,No,12,3,4,80,0,9,5,4,8,4,7,1
+33,No,Travel_Rarely,589,Research & Development,28,4,Life Sciences,1,1549,2,Male,79,3,2,Laboratory Technician,3,Married,5207,22949,1,Y,Yes,12,3,2,80,1,15,3,3,15,14,5,7
+40,No,Travel_Rarely,898,Human Resources,6,2,Medical,1,1550,3,Male,38,3,4,Manager,4,Single,16437,17381,1,Y,Yes,21,4,4,80,0,21,2,3,21,7,7,7
+24,No,Travel_Rarely,350,Research & Development,21,2,Technical Degree,1,1551,3,Male,57,2,1,Laboratory Technician,1,Divorced,2296,10036,0,Y,No,14,3,2,80,3,2,3,3,1,1,0,0
+40,No,Non-Travel,1142,Research & Development,8,2,Life Sciences,1,1552,4,Male,72,3,2,Healthcare Representative,4,Divorced,4069,8841,3,Y,Yes,18,3,3,80,0,8,2,3,2,2,2,2
+45,No,Travel_Rarely,538,Research & Development,1,4,Technical Degree,1,1553,1,Male,66,3,3,Healthcare Representative,2,Divorced,7441,20933,1,Y,No,12,3,1,80,3,10,4,3,10,8,7,7
+35,No,Travel_Rarely,1402,Sales,28,4,Life Sciences,1,1554,2,Female,98,2,1,Sales Representative,3,Married,2430,26204,0,Y,No,23,4,1,80,2,6,5,3,5,3,4,2
+32,No,Travel_Rarely,824,Research & Development,5,2,Life Sciences,1,1555,4,Female,67,2,2,Research Scientist,2,Married,5878,15624,3,Y,No,12,3,1,80,1,12,2,3,7,1,2,5
+36,No,Travel_Rarely,1157,Sales,2,4,Life Sciences,1,1556,3,Male,70,3,1,Sales Representative,4,Single,2644,17001,3,Y,Yes,21,4,4,80,0,7,3,2,3,2,1,2
+48,No,Travel_Rarely,492,Sales,16,4,Life Sciences,1,1557,3,Female,96,3,2,Sales Executive,3,Divorced,6439,13693,8,Y,No,14,3,3,80,1,18,2,3,8,7,7,7
+29,No,Travel_Rarely,598,Research & Development,9,3,Life Sciences,1,1558,3,Male,91,4,1,Research Scientist,3,Married,2451,22376,6,Y,No,18,3,1,80,2,5,2,2,1,0,0,0
+33,No,Travel_Rarely,1242,Sales,8,4,Life Sciences,1,1560,1,Male,46,3,2,Sales Executive,1,Married,6392,10589,2,Y,No,13,3,4,80,1,8,6,1,2,2,2,2
+30,Yes,Travel_Rarely,740,Sales,1,3,Life Sciences,1,1562,2,Male,64,2,2,Sales Executive,1,Married,9714,5323,1,Y,No,11,3,4,80,1,10,4,3,10,8,6,7
+38,No,Travel_Frequently,888,Human Resources,10,4,Human Resources,1,1563,3,Male,71,3,2,Human Resources,3,Married,6077,14814,3,Y,No,11,3,3,80,0,10,2,3,6,3,1,2
+35,No,Travel_Rarely,992,Research & Development,1,3,Medical,1,1564,4,Male,68,2,1,Laboratory Technician,1,Single,2450,21731,1,Y,No,19,3,2,80,0,3,3,3,3,0,1,2
+30,No,Travel_Rarely,1288,Sales,29,4,Technical Degree,1,1568,3,Male,33,3,3,Sales Executive,2,Married,9250,17799,3,Y,No,12,3,2,80,1,9,3,3,4,2,1,3
+35,Yes,Travel_Rarely,104,Research & Development,2,3,Life Sciences,1,1569,1,Female,69,3,1,Laboratory Technician,1,Divorced,2074,26619,1,Y,Yes,12,3,4,80,1,1,2,3,1,0,0,0
+53,Yes,Travel_Rarely,607,Research & Development,2,5,Technical Degree,1,1572,3,Female,78,2,3,Manufacturing Director,4,Married,10169,14618,0,Y,No,16,3,2,80,1,34,4,3,33,7,1,9
+38,Yes,Travel_Rarely,903,Research & Development,2,3,Medical,1,1573,3,Male,81,3,2,Manufacturing Director,2,Married,4855,7653,4,Y,No,11,3,1,80,2,7,2,3,5,2,1,4
+32,No,Non-Travel,1200,Research & Development,1,4,Technical Degree,1,1574,4,Male,62,3,2,Research Scientist,1,Married,4087,25174,4,Y,No,14,3,2,80,1,9,3,2,6,5,1,2
+48,No,Travel_Rarely,1108,Research & Development,15,4,Other,1,1576,3,Female,65,3,1,Research Scientist,1,Married,2367,16530,8,Y,No,12,3,4,80,1,10,3,2,8,2,7,6
+34,No,Travel_Rarely,479,Research & Development,7,4,Medical,1,1577,1,Male,35,3,1,Research Scientist,4,Single,2972,22061,1,Y,No,13,3,3,80,0,1,4,1,1,0,0,0
+55,No,Travel_Rarely,685,Sales,26,5,Marketing,1,1578,3,Male,60,2,5,Manager,4,Married,19586,23037,1,Y,No,21,4,3,80,1,36,3,3,36,6,2,13
+34,No,Travel_Rarely,1351,Research & Development,1,4,Life Sciences,1,1580,2,Male,45,3,2,Research Scientist,4,Married,5484,13008,9,Y,No,17,3,2,80,1,9,3,2,2,2,2,1
+26,No,Travel_Rarely,474,Research & Development,3,3,Life Sciences,1,1581,1,Female,89,3,1,Research Scientist,4,Married,2061,11133,1,Y,No,21,4,1,80,0,1,5,3,1,0,0,0
+38,No,Travel_Rarely,1245,Sales,14,3,Life Sciences,1,1582,3,Male,80,3,2,Sales Executive,2,Married,9924,12355,0,Y,No,11,3,4,80,1,10,3,3,9,8,7,7
+38,No,Travel_Rarely,437,Sales,16,3,Life Sciences,1,1583,2,Female,90,3,2,Sales Executive,2,Single,4198,16379,2,Y,No,12,3,2,80,0,8,5,4,3,2,1,2
+36,No,Travel_Rarely,884,Sales,1,4,Life Sciences,1,1585,2,Female,73,3,2,Sales Executive,3,Single,6815,21447,6,Y,No,13,3,1,80,0,15,5,3,1,0,0,0
+29,No,Travel_Rarely,1370,Research & Development,3,1,Medical,1,1586,2,Male,87,3,1,Laboratory Technician,1,Single,4723,16213,1,Y,Yes,18,3,4,80,0,10,3,3,10,9,1,5
+35,No,Travel_Rarely,670,Research & Development,10,4,Medical,1,1587,1,Female,51,3,2,Healthcare Representative,3,Single,6142,4223,3,Y,Yes,16,3,3,80,0,10,4,3,5,2,0,4
+39,No,Travel_Rarely,1462,Sales,6,3,Medical,1,1588,4,Male,38,4,3,Sales Executive,3,Married,8237,4658,2,Y,No,11,3,1,80,1,11,3,3,7,6,7,6
+29,No,Travel_Frequently,995,Research & Development,2,1,Life Sciences,1,1590,1,Male,87,3,2,Healthcare Representative,4,Divorced,8853,24483,1,Y,No,19,3,4,80,1,6,0,4,6,4,1,3
+50,No,Travel_Rarely,264,Sales,9,3,Marketing,1,1591,3,Male,59,3,5,Manager,3,Married,19331,19519,4,Y,Yes,16,3,3,80,1,27,2,3,1,0,0,0
+23,No,Travel_Rarely,977,Research & Development,10,3,Technical Degree,1,1592,4,Male,45,4,1,Research Scientist,3,Married,2073,12826,2,Y,No,16,3,4,80,1,4,2,3,2,2,2,2
+36,No,Travel_Frequently,1302,Research & Development,6,4,Life Sciences,1,1594,1,Male,80,4,2,Laboratory Technician,1,Married,5562,19711,3,Y,Yes,13,3,4,80,1,9,3,3,3,2,0,2
+42,No,Travel_Rarely,1059,Research & Development,9,2,Other,1,1595,4,Male,93,2,5,Manager,4,Single,19613,26362,8,Y,No,22,4,4,80,0,24,2,3,1,0,0,1
+35,No,Travel_Rarely,750,Research & Development,28,3,Life Sciences,1,1596,2,Male,46,4,2,Laboratory Technician,3,Married,3407,25348,1,Y,No,17,3,4,80,2,10,3,2,10,9,6,8
+34,No,Travel_Frequently,653,Research & Development,10,4,Technical Degree,1,1597,4,Male,92,2,2,Healthcare Representative,3,Married,5063,15332,1,Y,No,14,3,2,80,1,8,3,2,8,2,7,7
+40,No,Travel_Rarely,118,Sales,14,2,Life Sciences,1,1598,4,Female,84,3,2,Sales Executive,1,Married,4639,11262,1,Y,No,15,3,3,80,1,5,2,3,5,4,1,2
+43,No,Travel_Rarely,990,Research & Development,27,3,Technical Degree,1,1599,4,Male,87,4,1,Laboratory Technician,2,Divorced,4876,5855,5,Y,No,12,3,3,80,1,8,0,3,6,4,0,2
+35,No,Travel_Rarely,1349,Research & Development,7,2,Life Sciences,1,1601,3,Male,63,2,1,Laboratory Technician,4,Married,2690,7713,1,Y,No,18,3,4,80,1,1,5,2,1,0,0,1
+46,No,Travel_Rarely,563,Sales,1,4,Life Sciences,1,1602,4,Male,56,4,4,Manager,1,Single,17567,3156,1,Y,No,15,3,2,80,0,27,5,1,26,0,0,12
+28,Yes,Travel_Rarely,329,Research & Development,24,3,Medical,1,1604,3,Male,51,3,1,Laboratory Technician,2,Married,2408,7324,1,Y,Yes,17,3,3,80,3,1,3,3,1,1,0,0
+22,No,Non-Travel,457,Research & Development,26,2,Other,1,1605,2,Female,85,2,1,Research Scientist,3,Married,2814,10293,1,Y,Yes,14,3,2,80,0,4,2,2,4,2,1,3
+50,No,Travel_Frequently,1234,Research & Development,20,5,Medical,1,1606,2,Male,41,3,4,Healthcare Representative,3,Married,11245,20689,2,Y,Yes,15,3,3,80,1,32,3,3,30,8,12,13
+32,No,Travel_Rarely,634,Research & Development,5,4,Other,1,1607,2,Female,35,4,1,Research Scientist,4,Married,3312,18783,3,Y,No,17,3,4,80,2,6,3,3,3,2,0,2
+44,No,Travel_Rarely,1313,Research & Development,7,3,Medical,1,1608,2,Female,31,3,5,Research Director,4,Divorced,19049,3549,0,Y,Yes,14,3,4,80,1,23,4,2,22,7,1,10
+30,No,Travel_Rarely,241,Research & Development,7,3,Medical,1,1609,2,Male,48,2,1,Research Scientist,2,Married,2141,5348,1,Y,No,12,3,2,80,1,6,3,2,6,4,1,1
+45,No,Travel_Rarely,1015,Research & Development,5,5,Medical,1,1611,3,Female,50,1,2,Laboratory Technician,1,Single,5769,23447,1,Y,Yes,14,3,1,80,0,10,3,3,10,7,1,4
+45,No,Non-Travel,336,Sales,26,3,Marketing,1,1612,1,Male,52,2,2,Sales Executive,1,Married,4385,24162,1,Y,No,15,3,1,80,1,10,2,3,10,7,4,5
+31,No,Travel_Frequently,715,Sales,2,4,Other,1,1613,4,Male,54,3,2,Sales Executive,1,Single,5332,21602,7,Y,No,13,3,4,80,0,10,3,3,5,2,0,3
+36,No,Travel_Rarely,559,Research & Development,12,4,Life Sciences,1,1614,3,Female,76,3,2,Manufacturing Director,3,Married,4663,12421,9,Y,Yes,12,3,2,80,2,7,2,3,3,2,1,1
+34,No,Travel_Frequently,426,Research & Development,10,4,Life Sciences,1,1615,3,Male,42,4,2,Manufacturing Director,4,Divorced,4724,17000,1,Y,No,13,3,1,80,1,9,3,3,9,7,7,2
+49,No,Travel_Rarely,722,Research & Development,25,4,Life Sciences,1,1617,3,Female,84,3,1,Laboratory Technician,1,Married,3211,22102,1,Y,No,14,3,4,80,1,10,3,2,9,6,1,4
+39,No,Travel_Rarely,1387,Research & Development,10,5,Medical,1,1618,2,Male,76,3,2,Manufacturing Director,1,Married,5377,3835,2,Y,No,13,3,4,80,3,10,3,3,7,7,7,7
+27,No,Travel_Rarely,1302,Research & Development,19,3,Other,1,1619,4,Male,67,2,1,Laboratory Technician,1,Divorced,4066,16290,1,Y,No,11,3,1,80,2,7,3,3,7,7,0,7
+35,No,Travel_Rarely,819,Research & Development,18,5,Life Sciences,1,1621,2,Male,48,4,2,Research Scientist,1,Married,5208,26312,1,Y,No,11,3,4,80,0,16,2,3,16,15,1,10
+28,No,Travel_Rarely,580,Research & Development,27,3,Medical,1,1622,2,Female,39,1,2,Manufacturing Director,1,Divorced,4877,20460,0,Y,No,21,4,2,80,1,6,5,2,5,3,0,0
+21,No,Travel_Rarely,546,Research & Development,5,1,Medical,1,1623,3,Male,97,3,1,Research Scientist,4,Single,3117,26009,1,Y,No,18,3,3,80,0,3,2,3,2,2,2,2
+18,Yes,Travel_Frequently,544,Sales,3,2,Medical,1,1624,2,Female,70,3,1,Sales Representative,4,Single,1569,18420,1,Y,Yes,12,3,3,80,0,0,2,4,0,0,0,0
+47,No,Travel_Rarely,1176,Human Resources,26,4,Life Sciences,1,1625,4,Female,98,3,5,Manager,3,Married,19658,5220,3,Y,No,11,3,3,80,1,27,2,3,5,2,1,0
+39,No,Travel_Rarely,170,Research & Development,3,2,Medical,1,1627,3,Male,76,2,2,Laboratory Technician,3,Divorced,3069,10302,0,Y,No,15,3,4,80,1,11,3,3,10,8,0,7
+40,No,Travel_Rarely,884,Research & Development,15,3,Life Sciences,1,1628,1,Female,80,2,3,Manufacturing Director,3,Married,10435,25800,1,Y,No,13,3,4,80,2,18,2,3,18,15,14,12
+35,No,Non-Travel,208,Research & Development,8,4,Life Sciences,1,1630,3,Female,52,3,2,Healthcare Representative,3,Married,4148,12250,1,Y,No,12,3,4,80,1,15,5,3,14,11,2,9
+37,No,Travel_Rarely,671,Research & Development,19,3,Life Sciences,1,1631,3,Male,85,3,2,Manufacturing Director,3,Married,5768,26493,3,Y,No,17,3,1,80,3,9,2,2,4,3,0,2
+39,No,Travel_Frequently,711,Research & Development,4,3,Medical,1,1633,1,Female,81,3,2,Manufacturing Director,3,Single,5042,3140,0,Y,No,13,3,4,80,0,10,2,1,9,2,3,8
+45,No,Travel_Rarely,1329,Research & Development,2,2,Other,1,1635,4,Female,59,2,2,Manufacturing Director,4,Divorced,5770,5388,1,Y,No,19,3,1,80,2,10,3,3,10,7,3,9
+38,No,Travel_Rarely,397,Research & Development,2,2,Medical,1,1638,4,Female,54,2,3,Manufacturing Director,3,Married,7756,14199,3,Y,Yes,19,3,4,80,1,10,6,4,5,4,0,2
+35,Yes,Travel_Rarely,737,Sales,10,3,Medical,1,1639,4,Male,55,2,3,Sales Executive,1,Married,10306,21530,9,Y,No,17,3,3,80,0,15,3,3,13,12,6,0
+37,No,Travel_Rarely,1470,Research & Development,10,3,Medical,1,1640,2,Female,71,3,1,Research Scientist,2,Married,3936,9953,1,Y,No,11,3,1,80,1,8,2,1,8,4,7,7
+40,No,Travel_Rarely,448,Research & Development,16,3,Life Sciences,1,1641,3,Female,84,3,3,Manufacturing Director,4,Single,7945,19948,6,Y,Yes,15,3,4,80,0,18,2,2,4,2,3,3
+44,No,Travel_Frequently,602,Human Resources,1,5,Human Resources,1,1642,1,Male,37,3,2,Human Resources,4,Married,5743,10503,4,Y,Yes,11,3,3,80,0,14,3,3,10,7,0,2
+48,No,Travel_Frequently,365,Research & Development,4,5,Medical,1,1644,3,Male,89,2,4,Manager,4,Married,15202,5602,2,Y,No,25,4,2,80,1,23,3,3,2,2,2,2
+35,Yes,Travel_Rarely,763,Sales,15,2,Medical,1,1645,1,Male,59,1,2,Sales Executive,4,Divorced,5440,22098,6,Y,Yes,14,3,4,80,2,7,2,2,2,2,2,2
+24,No,Travel_Frequently,567,Research & Development,2,1,Technical Degree,1,1646,1,Female,32,3,1,Research Scientist,4,Single,3760,17218,1,Y,Yes,13,3,3,80,0,6,2,3,6,3,1,3
+27,No,Travel_Rarely,486,Research & Development,8,3,Medical,1,1647,2,Female,86,4,1,Research Scientist,3,Married,3517,22490,7,Y,No,17,3,1,80,0,5,0,3,3,2,0,2
+27,No,Travel_Frequently,591,Research & Development,2,3,Medical,1,1648,4,Male,87,3,1,Research Scientist,4,Single,2580,6297,2,Y,No,13,3,3,80,0,6,0,2,4,2,1,2
+40,Yes,Travel_Rarely,1329,Research & Development,7,3,Life Sciences,1,1649,1,Male,73,3,1,Laboratory Technician,1,Single,2166,3339,3,Y,Yes,14,3,2,80,0,10,3,1,4,2,0,3
+29,No,Travel_Rarely,469,Sales,10,3,Medical,1,1650,3,Male,42,2,2,Sales Executive,3,Single,5869,23413,9,Y,No,11,3,3,80,0,8,2,3,5,2,1,4
+36,No,Travel_Rarely,711,Research & Development,5,4,Life Sciences,1,1651,2,Female,42,3,3,Healthcare Representative,1,Married,8008,22792,4,Y,No,12,3,3,80,2,9,6,3,3,2,0,2
+25,No,Travel_Frequently,772,Research & Development,2,1,Life Sciences,1,1653,4,Male,77,4,2,Manufacturing Director,3,Divorced,5206,4973,1,Y,No,17,3,3,80,2,7,6,3,7,7,0,7
+39,No,Travel_Rarely,492,Research & Development,12,3,Medical,1,1654,4,Male,66,3,2,Manufacturing Director,2,Married,5295,7693,4,Y,No,21,4,3,80,0,7,3,3,5,4,1,0
+49,No,Travel_Rarely,301,Research & Development,22,4,Other,1,1655,1,Female,72,3,4,Research Director,2,Married,16413,3498,3,Y,No,16,3,2,80,2,27,2,3,4,2,1,2
+50,No,Travel_Rarely,813,Research & Development,17,5,Life Sciences,1,1656,4,Female,50,2,3,Research Director,1,Divorced,13269,21981,5,Y,No,15,3,3,80,3,19,3,3,14,11,1,11
+20,No,Travel_Rarely,1141,Sales,2,3,Medical,1,1657,3,Female,31,3,1,Sales Representative,3,Single,2783,13251,1,Y,No,19,3,1,80,0,2,3,3,2,2,2,2
+34,No,Travel_Rarely,1130,Research & Development,3,3,Life Sciences,1,1658,4,Female,66,3,2,Research Scientist,2,Divorced,5433,19332,1,Y,No,12,3,3,80,1,11,2,3,11,8,7,9
+36,No,Travel_Rarely,311,Research & Development,7,3,Life Sciences,1,1659,1,Male,77,3,1,Laboratory Technician,2,Single,2013,10950,2,Y,No,11,3,3,80,0,15,4,3,4,3,1,3
+49,No,Travel_Rarely,465,Research & Development,6,1,Life Sciences,1,1661,3,Female,41,2,4,Healthcare Representative,3,Married,13966,11652,2,Y,Yes,19,3,2,80,1,30,3,3,15,11,2,12
+36,No,Non-Travel,894,Research & Development,1,4,Medical,1,1662,4,Female,33,2,2,Manufacturing Director,3,Married,4374,15411,0,Y,No,15,3,3,80,0,4,6,3,3,2,1,2
+36,No,Travel_Rarely,1040,Research & Development,3,2,Life Sciences,1,1664,4,Male,79,4,2,Healthcare Representative,1,Divorced,6842,26308,6,Y,No,20,4,1,80,1,13,3,3,5,4,0,4
+54,No,Travel_Rarely,584,Research & Development,22,5,Medical,1,1665,2,Female,91,3,4,Manager,3,Married,17426,18685,3,Y,No,25,4,3,80,1,36,6,3,10,8,4,7
+43,No,Travel_Rarely,1291,Research & Development,15,2,Life Sciences,1,1666,3,Male,65,2,4,Research Director,3,Married,17603,3525,1,Y,No,24,4,1,80,1,14,3,3,14,10,6,11
+35,Yes,Travel_Frequently,880,Sales,12,4,Other,1,1667,4,Male,36,3,2,Sales Executive,4,Single,4581,10414,3,Y,Yes,24,4,1,80,0,13,2,4,11,9,6,7
+38,No,Travel_Frequently,1189,Research & Development,1,3,Life Sciences,1,1668,4,Male,90,3,2,Research Scientist,4,Married,4735,9867,7,Y,No,15,3,4,80,2,19,4,4,13,11,2,9
+29,No,Travel_Rarely,991,Sales,5,3,Medical,1,1669,1,Male,43,2,2,Sales Executive,2,Divorced,4187,3356,1,Y,Yes,13,3,2,80,1,10,3,2,10,0,0,9
+33,No,Travel_Rarely,392,Sales,2,4,Medical,1,1670,4,Male,93,3,2,Sales Executive,4,Divorced,5505,3921,1,Y,No,14,3,3,80,2,6,5,3,6,2,0,4
+32,No,Travel_Rarely,977,Research & Development,2,3,Medical,1,1671,4,Male,45,3,2,Research Scientist,2,Divorced,5470,25518,0,Y,No,13,3,3,80,2,10,4,2,9,5,1,6
+31,No,Travel_Rarely,1112,Sales,5,4,Life Sciences,1,1673,1,Female,67,3,2,Sales Executive,4,Married,5476,22589,1,Y,No,11,3,1,80,2,10,2,3,10,0,0,2
+49,No,Travel_Rarely,464,Research & Development,16,3,Medical,1,1674,4,Female,74,3,1,Laboratory Technician,1,Divorced,2587,24941,4,Y,Yes,16,3,2,80,1,17,2,2,2,2,2,2
+38,No,Travel_Frequently,148,Research & Development,2,3,Medical,1,1675,4,Female,42,2,1,Laboratory Technician,2,Single,2440,23826,1,Y,No,22,4,2,80,0,4,3,3,4,3,3,3
+47,No,Travel_Rarely,1225,Sales,2,4,Life Sciences,1,1676,2,Female,47,4,4,Manager,2,Divorced,15972,21086,6,Y,No,14,3,3,80,3,29,2,3,3,2,1,2
+49,No,Travel_Rarely,809,Research & Development,1,3,Life Sciences,1,1677,3,Male,36,3,4,Manager,3,Single,15379,22384,4,Y,No,14,3,1,80,0,23,2,3,8,7,0,0
+41,No,Travel_Rarely,1206,Sales,23,2,Life Sciences,1,1678,4,Male,80,3,3,Sales Executive,3,Single,7082,11591,3,Y,Yes,16,3,4,80,0,21,2,3,2,0,0,2
+20,No,Travel_Rarely,727,Sales,9,1,Life Sciences,1,1680,4,Male,54,3,1,Sales Representative,1,Single,2728,21082,1,Y,No,11,3,1,80,0,2,3,3,2,2,0,2
+33,No,Non-Travel,530,Sales,16,3,Life Sciences,1,1681,3,Female,36,3,2,Sales Executive,4,Divorced,5368,16130,1,Y,Yes,25,4,3,80,1,7,2,3,6,5,1,2
+36,No,Travel_Rarely,1351,Research & Development,26,4,Life Sciences,1,1682,1,Male,80,3,2,Healthcare Representative,3,Married,5347,7419,6,Y,No,14,3,2,80,2,10,2,2,3,2,0,2
+44,No,Travel_Rarely,528,Human Resources,1,3,Life Sciences,1,1683,3,Female,44,3,1,Human Resources,4,Divorced,3195,4167,4,Y,Yes,18,3,1,80,3,8,2,3,2,2,2,2
+23,Yes,Travel_Rarely,1320,Research & Development,8,1,Medical,1,1684,4,Male,93,2,1,Laboratory Technician,3,Single,3989,20586,1,Y,Yes,11,3,1,80,0,5,2,3,5,4,1,2
+38,No,Travel_Rarely,1495,Research & Development,4,2,Medical,1,1687,4,Female,87,3,1,Laboratory Technician,3,Married,3306,26176,7,Y,No,19,3,4,80,1,7,5,2,0,0,0,0
+53,No,Travel_Rarely,1395,Research & Development,24,4,Medical,1,1689,2,Male,48,4,3,Healthcare Representative,4,Married,7005,3458,3,Y,No,15,3,3,80,0,11,2,3,4,3,1,2
+48,Yes,Travel_Frequently,708,Sales,7,2,Medical,1,1691,4,Female,95,3,1,Sales Representative,3,Married,2655,11740,2,Y,Yes,11,3,3,80,2,19,3,3,9,7,7,7
+32,Yes,Travel_Rarely,1259,Research & Development,2,4,Life Sciences,1,1692,4,Male,95,3,1,Laboratory Technician,2,Single,1393,24852,1,Y,No,12,3,1,80,0,1,2,3,1,0,0,0
+26,No,Non-Travel,786,Research & Development,7,3,Medical,1,1693,4,Male,76,3,1,Laboratory Technician,4,Single,2570,11925,1,Y,No,20,4,3,80,0,7,5,3,7,7,5,7
+55,No,Travel_Rarely,1441,Research & Development,22,3,Technical Degree,1,1694,1,Male,94,2,1,Research Scientist,2,Divorced,3537,23737,5,Y,No,12,3,4,80,1,8,1,3,4,2,1,2
+34,No,Travel_Rarely,1157,Research & Development,5,2,Medical,1,1696,2,Male,57,2,2,Laboratory Technician,4,Married,3986,11912,1,Y,No,14,3,3,80,1,15,3,4,15,10,4,13
+60,No,Travel_Rarely,370,Research & Development,1,4,Medical,1,1697,3,Male,92,1,3,Healthcare Representative,4,Divorced,10883,20467,3,Y,No,20,4,3,80,1,19,2,4,1,0,0,0
+33,No,Travel_Rarely,267,Research & Development,21,3,Medical,1,1698,2,Male,79,4,1,Laboratory Technician,2,Married,2028,13637,1,Y,No,18,3,4,80,3,14,6,3,14,11,2,13
+37,No,Travel_Frequently,1278,Sales,1,4,Medical,1,1700,3,Male,31,1,2,Sales Executive,4,Divorced,9525,7677,1,Y,No,14,3,3,80,2,6,2,2,6,3,1,3
+34,No,Travel_Rarely,678,Research & Development,19,3,Life Sciences,1,1701,2,Female,35,2,1,Research Scientist,4,Married,2929,20338,1,Y,No,12,3,2,80,0,10,3,3,10,9,8,7
+23,Yes,Travel_Rarely,427,Sales,7,3,Life Sciences,1,1702,3,Male,99,3,1,Sales Representative,4,Divorced,2275,25103,1,Y,Yes,21,4,2,80,1,3,2,3,3,2,0,2
+44,No,Travel_Rarely,921,Research & Development,2,3,Life Sciences,1,1703,3,Female,96,4,3,Healthcare Representative,4,Married,7879,14810,1,Y,Yes,19,3,2,80,1,9,2,3,8,7,6,7
+35,No,Travel_Frequently,146,Research & Development,2,4,Medical,1,1704,1,Male,79,2,1,Research Scientist,4,Single,4930,13970,0,Y,Yes,14,3,3,80,0,6,2,4,5,4,1,4
+43,No,Travel_Rarely,1179,Sales,2,3,Medical,1,1706,4,Male,73,3,2,Sales Executive,4,Married,7847,6069,1,Y,Yes,17,3,1,80,1,10,3,3,10,9,8,8
+24,No,Travel_Rarely,581,Research & Development,9,3,Medical,1,1707,3,Male,62,4,1,Research Scientist,3,Married,4401,17616,1,Y,No,16,3,4,80,1,5,1,3,5,3,0,4
+41,No,Travel_Rarely,918,Sales,6,3,Marketing,1,1708,4,Male,35,3,3,Sales Executive,3,Single,9241,15869,1,Y,No,12,3,2,80,0,10,3,3,10,8,8,7
+29,No,Travel_Rarely,1082,Research & Development,9,4,Medical,1,1709,4,Female,43,3,1,Laboratory Technician,3,Married,2974,25412,9,Y,No,17,3,3,80,1,9,2,3,5,3,1,2
+36,No,Travel_Rarely,530,Sales,2,4,Life Sciences,1,1710,3,Female,51,3,2,Sales Representative,4,Single,4502,7439,3,Y,No,15,3,3,80,0,17,2,2,13,7,6,7
+45,No,Non-Travel,1238,Research & Development,1,1,Life Sciences,1,1712,3,Male,74,2,3,Healthcare Representative,3,Married,10748,3395,3,Y,No,23,4,4,80,1,25,3,2,23,15,14,4
+24,Yes,Travel_Rarely,240,Human Resources,22,1,Human Resources,1,1714,4,Male,58,1,1,Human Resources,3,Married,1555,11585,1,Y,No,11,3,3,80,1,1,2,3,1,0,0,0
+47,Yes,Travel_Frequently,1093,Sales,9,3,Life Sciences,1,1716,3,Male,82,1,4,Sales Executive,3,Married,12936,24164,7,Y,No,11,3,3,80,0,25,3,1,23,5,14,10
+26,No,Travel_Rarely,390,Research & Development,17,4,Medical,1,1718,4,Male,62,1,1,Laboratory Technician,3,Married,2305,6217,1,Y,No,15,3,3,80,3,3,3,4,3,2,0,2
+45,No,Travel_Rarely,1005,Research & Development,28,2,Technical Degree,1,1719,4,Female,48,2,4,Research Director,2,Single,16704,17119,1,Y,No,11,3,3,80,0,21,2,3,21,6,8,6
+32,No,Travel_Frequently,585,Research & Development,10,3,Life Sciences,1,1720,1,Male,56,3,1,Research Scientist,3,Married,3433,17360,6,Y,No,13,3,1,80,1,10,3,2,5,2,1,3
+31,No,Travel_Rarely,741,Research & Development,2,4,Life Sciences,1,1721,2,Male,69,3,1,Laboratory Technician,3,Married,3477,18103,1,Y,No,14,3,4,80,1,6,2,4,5,2,0,3
+41,No,Non-Travel,552,Human Resources,4,3,Human Resources,1,1722,3,Male,60,1,2,Human Resources,2,Married,6430,20794,6,Y,No,19,3,2,80,1,10,4,3,3,2,1,2
+40,No,Travel_Rarely,369,Research & Development,8,2,Life Sciences,1,1724,2,Female,92,3,2,Manufacturing Director,1,Married,6516,5041,2,Y,Yes,16,3,2,80,1,18,3,3,1,0,0,0
+24,No,Travel_Rarely,506,Research & Development,29,1,Medical,1,1725,2,Male,91,3,1,Laboratory Technician,1,Divorced,3907,3622,1,Y,No,13,3,2,80,3,6,2,4,6,2,1,2
+46,No,Travel_Rarely,717,Research & Development,13,4,Life Sciences,1,1727,3,Male,34,3,2,Healthcare Representative,2,Single,5562,9697,6,Y,No,14,3,4,80,0,19,3,3,10,7,0,9
+35,No,Travel_Rarely,1370,Research & Development,27,4,Life Sciences,1,1728,4,Male,49,3,2,Manufacturing Director,3,Married,6883,5151,2,Y,No,16,3,2,80,1,17,3,3,7,7,0,7
+30,No,Travel_Rarely,793,Research & Development,16,1,Life Sciences,1,1729,2,Male,33,3,1,Research Scientist,4,Married,2862,3811,1,Y,No,12,3,2,80,1,10,2,2,10,0,0,8
+47,No,Non-Travel,543,Sales,2,4,Marketing,1,1731,3,Male,87,3,2,Sales Executive,2,Married,4978,3536,7,Y,No,11,3,4,80,1,4,3,1,1,0,0,0
+46,No,Travel_Rarely,1277,Sales,2,3,Life Sciences,1,1732,3,Male,74,3,3,Sales Executive,4,Divorced,10368,5596,4,Y,Yes,12,3,2,80,1,13,5,2,10,6,0,3
+36,Yes,Travel_Rarely,1456,Sales,13,5,Marketing,1,1733,2,Male,96,2,2,Sales Executive,1,Divorced,6134,8658,5,Y,Yes,13,3,2,80,3,16,3,3,2,2,2,2
+32,Yes,Travel_Rarely,964,Sales,1,2,Life Sciences,1,1734,1,Male,34,1,2,Sales Executive,2,Single,6735,12147,6,Y,No,15,3,2,80,0,10,2,3,0,0,0,0
+23,No,Travel_Rarely,160,Research & Development,4,1,Medical,1,1735,3,Female,51,3,1,Laboratory Technician,2,Single,3295,12862,1,Y,No,13,3,3,80,0,3,3,1,3,2,1,2
+31,No,Travel_Frequently,163,Research & Development,24,1,Technical Degree,1,1736,4,Female,30,3,2,Manufacturing Director,4,Single,5238,6670,2,Y,No,20,4,4,80,0,9,3,2,5,4,1,4
+39,No,Non-Travel,792,Research & Development,1,3,Life Sciences,1,1737,4,Male,77,3,2,Laboratory Technician,4,Married,6472,8989,1,Y,Yes,15,3,4,80,1,9,2,3,9,8,5,8
+32,No,Travel_Rarely,371,Sales,19,3,Life Sciences,1,1739,4,Male,80,1,3,Sales Executive,3,Married,9610,3840,3,Y,No,13,3,3,80,1,10,2,1,4,3,0,2
+40,No,Travel_Rarely,611,Sales,7,4,Medical,1,1740,2,Male,88,3,5,Manager,2,Single,19833,4349,1,Y,No,14,3,2,80,0,21,3,2,21,8,12,8
+45,No,Travel_Rarely,176,Human Resources,4,3,Life Sciences,1,1744,3,Female,56,1,3,Human Resources,3,Married,9756,6595,4,Y,No,21,4,3,80,2,9,2,4,5,0,0,3
+30,No,Travel_Frequently,1312,Research & Development,2,4,Technical Degree,1,1745,4,Female,78,2,1,Research Scientist,1,Single,4968,26427,0,Y,No,16,3,4,80,0,10,2,3,9,7,0,7
+24,No,Travel_Frequently,897,Human Resources,10,3,Medical,1,1746,1,Male,59,3,1,Human Resources,4,Married,2145,2097,0,Y,No,14,3,4,80,1,3,2,3,2,2,2,1
+30,Yes,Travel_Frequently,600,Human Resources,8,3,Human Resources,1,1747,3,Female,66,2,1,Human Resources,4,Divorced,2180,9732,6,Y,No,11,3,3,80,1,6,0,2,4,2,1,2
+31,No,Travel_Rarely,1003,Sales,5,3,Technical Degree,1,1749,1,Male,51,3,2,Sales Executive,3,Married,8346,20943,1,Y,No,19,3,3,80,1,6,3,3,5,2,0,2
+27,No,Travel_Rarely,1054,Research & Development,8,3,Medical,1,1751,3,Female,67,3,1,Research Scientist,4,Single,3445,6152,1,Y,No,11,3,3,80,0,6,5,2,6,2,1,4
+29,Yes,Travel_Rarely,428,Sales,9,3,Marketing,1,1752,2,Female,52,1,1,Sales Representative,2,Single,2760,14630,1,Y,No,13,3,3,80,0,2,3,3,2,2,2,2
+29,No,Travel_Frequently,461,Research & Development,1,3,Life Sciences,1,1753,4,Male,70,4,2,Healthcare Representative,3,Single,6294,23060,8,Y,Yes,12,3,4,80,0,10,5,4,3,2,0,2
+30,No,Travel_Rarely,979,Sales,15,2,Marketing,1,1754,3,Male,94,2,3,Sales Executive,1,Divorced,7140,3088,2,Y,No,11,3,1,80,1,12,2,3,7,7,1,7
+34,No,Travel_Rarely,181,Research & Development,2,4,Medical,1,1755,4,Male,97,4,1,Research Scientist,4,Married,2932,5586,0,Y,Yes,14,3,1,80,3,6,3,3,5,0,1,2
+33,No,Non-Travel,1283,Sales,2,3,Marketing,1,1756,4,Female,62,3,2,Sales Executive,2,Single,5147,10697,8,Y,No,15,3,4,80,0,13,2,2,11,7,1,7
+49,No,Travel_Rarely,1313,Sales,11,4,Marketing,1,1757,4,Female,80,3,2,Sales Executive,4,Single,4507,8191,3,Y,No,12,3,3,80,0,8,1,4,5,1,0,4
+33,Yes,Travel_Rarely,211,Sales,16,3,Life Sciences,1,1758,1,Female,74,3,3,Sales Executive,1,Single,8564,10092,2,Y,Yes,20,4,3,80,0,11,2,2,0,0,0,0
+38,No,Travel_Frequently,594,Research & Development,2,2,Medical,1,1760,3,Female,75,2,1,Laboratory Technician,2,Married,2468,15963,4,Y,No,14,3,2,80,1,9,4,2,6,1,0,5
+31,Yes,Travel_Rarely,1079,Sales,16,4,Marketing,1,1761,1,Male,70,3,3,Sales Executive,3,Married,8161,19002,2,Y,No,13,3,1,80,3,10,2,3,1,0,0,0
+29,No,Travel_Rarely,590,Research & Development,4,3,Technical Degree,1,1762,4,Female,91,2,1,Research Scientist,1,Divorced,2109,10007,1,Y,No,13,3,3,80,1,1,2,3,1,0,0,0
+30,No,Travel_Rarely,305,Research & Development,16,3,Life Sciences,1,1763,3,Male,58,4,2,Healthcare Representative,3,Married,5294,9128,3,Y,No,16,3,3,80,1,10,3,3,7,0,1,7
+32,No,Non-Travel,953,Research & Development,5,4,Technical Degree,1,1764,2,Male,65,3,1,Research Scientist,2,Single,2718,17674,2,Y,No,14,3,2,80,0,12,3,3,7,7,0,7
+38,No,Travel_Rarely,833,Research & Development,18,3,Medical,1,1766,2,Male,60,1,2,Healthcare Representative,4,Married,5811,24539,3,Y,Yes,16,3,3,80,1,15,2,3,1,0,1,0
+43,Yes,Travel_Frequently,807,Research & Development,17,3,Technical Degree,1,1767,3,Male,38,2,1,Research Scientist,3,Married,2437,15587,9,Y,Yes,16,3,4,80,1,6,4,3,1,0,0,0
+42,No,Travel_Rarely,855,Research & Development,12,3,Medical,1,1768,2,Male,57,3,1,Laboratory Technician,2,Divorced,2766,8952,8,Y,No,22,4,2,80,3,7,6,2,5,3,0,4
+55,No,Travel_Rarely,478,Research & Development,2,3,Medical,1,1770,3,Male,60,2,5,Research Director,1,Married,19038,19805,8,Y,No,12,3,2,80,3,34,2,3,1,0,0,0
+33,No,Non-Travel,775,Research & Development,4,3,Technical Degree,1,1771,4,Male,90,3,2,Research Scientist,2,Divorced,3055,6194,5,Y,No,15,3,4,80,2,11,2,2,9,8,1,7
+41,No,Travel_Rarely,548,Research & Development,9,4,Life Sciences,1,1772,3,Male,94,3,1,Laboratory Technician,1,Divorced,2289,20520,1,Y,No,20,4,2,80,2,5,2,3,5,3,0,4
+34,No,Non-Travel,1375,Sales,10,3,Life Sciences,1,1774,4,Male,87,3,2,Sales Executive,3,Divorced,4001,12313,1,Y,Yes,14,3,3,80,1,15,3,3,15,14,0,7
+53,No,Non-Travel,661,Research & Development,1,4,Medical,1,1775,1,Female,60,2,4,Manufacturing Director,3,Married,12965,22308,4,Y,Yes,20,4,4,80,3,27,2,2,3,2,0,2
+43,No,Travel_Rarely,244,Human Resources,2,3,Life Sciences,1,1778,2,Male,97,3,1,Human Resources,4,Single,3539,5033,0,Y,No,13,3,2,80,0,10,5,3,9,7,1,8
+34,No,Travel_Rarely,511,Sales,3,2,Life Sciences,1,1779,4,Female,32,1,2,Sales Executive,4,Single,6029,25353,5,Y,No,12,3,1,80,0,6,3,3,2,2,2,2
+21,Yes,Travel_Rarely,337,Sales,7,1,Marketing,1,1780,2,Male,31,3,1,Sales Representative,2,Single,2679,4567,1,Y,No,13,3,2,80,0,1,3,3,1,0,1,0
+38,No,Travel_Rarely,1153,Research & Development,6,2,Other,1,1782,4,Female,40,2,1,Laboratory Technician,3,Married,3702,16376,1,Y,No,11,3,2,80,1,5,3,3,5,4,0,4
+22,Yes,Travel_Rarely,1294,Research & Development,8,1,Medical,1,1783,3,Female,79,3,1,Laboratory Technician,1,Married,2398,15999,1,Y,Yes,17,3,3,80,0,1,6,3,1,0,0,0
+31,No,Travel_Rarely,196,Sales,29,4,Marketing,1,1784,1,Female,91,2,2,Sales Executive,4,Married,5468,13402,1,Y,No,14,3,1,80,2,13,3,3,12,7,5,7
+51,No,Travel_Rarely,942,Research & Development,3,3,Technical Degree,1,1786,1,Female,53,3,3,Manager,3,Married,13116,22984,2,Y,No,11,3,4,80,0,15,2,3,2,2,2,2
+37,No,Travel_Rarely,589,Sales,9,2,Marketing,1,1787,2,Male,46,2,2,Sales Executive,2,Married,4189,8800,1,Y,No,14,3,1,80,2,5,2,3,5,2,0,3
+46,No,Travel_Rarely,734,Research & Development,2,4,Medical,1,1789,3,Male,46,3,5,Research Director,4,Divorced,19328,14218,7,Y,Yes,17,3,3,80,1,24,3,3,2,1,2,2
+36,No,Travel_Rarely,1383,Research & Development,10,3,Life Sciences,1,1790,4,Male,90,3,3,Healthcare Representative,1,Married,8321,25949,7,Y,Yes,13,3,4,80,1,15,1,3,12,8,5,7
+44,Yes,Travel_Frequently,429,Research & Development,1,2,Medical,1,1792,3,Male,99,3,1,Research Scientist,2,Divorced,2342,11092,1,Y,Yes,12,3,3,80,3,6,2,2,5,3,2,3
+37,No,Travel_Rarely,1239,Human Resources,8,2,Other,1,1794,3,Male,89,3,2,Human Resources,2,Divorced,4071,12832,2,Y,No,13,3,3,80,0,19,4,2,10,0,4,7
+35,Yes,Travel_Rarely,303,Sales,27,3,Life Sciences,1,1797,3,Male,84,3,2,Sales Executive,4,Single,5813,13492,1,Y,Yes,18,3,4,80,0,10,2,3,10,7,7,7
+33,No,Travel_Rarely,867,Research & Development,8,4,Life Sciences,1,1798,4,Male,90,4,1,Research Scientist,1,Married,3143,6076,6,Y,No,19,3,2,80,1,14,1,3,10,8,7,6
+28,No,Travel_Rarely,1181,Research & Development,1,3,Life Sciences,1,1799,3,Male,82,3,1,Research Scientist,4,Married,2044,5531,1,Y,No,11,3,3,80,1,5,6,4,5,3,0,3
+39,No,Travel_Rarely,1253,Research & Development,10,1,Medical,1,1800,3,Male,65,3,3,Research Director,3,Single,13464,7914,7,Y,No,21,4,3,80,0,9,3,3,4,3,2,2
+46,No,Non-Travel,849,Sales,26,2,Life Sciences,1,1801,2,Male,98,2,2,Sales Executive,2,Single,7991,25166,8,Y,No,15,3,3,80,0,6,3,3,2,2,2,2
+40,No,Travel_Rarely,616,Research & Development,2,2,Life Sciences,1,1802,3,Female,99,3,1,Laboratory Technician,1,Married,3377,25605,4,Y,No,17,3,4,80,1,7,5,2,4,3,0,2
+42,No,Travel_Rarely,1128,Research & Development,13,3,Medical,1,1803,2,Male,95,4,2,Healthcare Representative,1,Married,5538,5696,5,Y,No,18,3,3,80,2,10,2,2,0,0,0,0
+35,No,Non-Travel,1180,Research & Development,2,2,Medical,1,1804,2,Male,90,3,2,Manufacturing Director,4,Divorced,5762,24442,2,Y,No,14,3,3,80,1,15,6,3,7,7,1,7
+38,No,Non-Travel,1336,Human Resources,2,3,Human Resources,1,1805,1,Male,100,3,1,Human Resources,2,Divorced,2592,7129,5,Y,No,13,3,4,80,3,13,3,3,11,10,3,8
+34,Yes,Travel_Frequently,234,Research & Development,9,4,Life Sciences,1,1807,4,Male,93,3,2,Laboratory Technician,1,Married,5346,6208,4,Y,No,17,3,3,80,1,11,3,2,7,1,0,7
+37,Yes,Travel_Rarely,370,Research & Development,10,4,Medical,1,1809,4,Male,58,3,2,Manufacturing Director,1,Single,4213,4992,1,Y,No,15,3,2,80,0,10,4,1,10,3,0,8
+39,No,Travel_Frequently,766,Sales,20,3,Life Sciences,1,1812,3,Male,83,3,2,Sales Executive,4,Divorced,4127,19188,2,Y,No,18,3,4,80,1,7,6,3,2,1,2,2
+43,No,Non-Travel,343,Research & Development,9,3,Life Sciences,1,1813,1,Male,52,3,1,Research Scientist,3,Single,2438,24978,4,Y,No,13,3,3,80,0,7,2,2,3,2,1,2
+41,No,Travel_Rarely,447,Research & Development,5,3,Life Sciences,1,1814,2,Male,85,4,2,Healthcare Representative,2,Single,6870,15530,3,Y,No,12,3,1,80,0,11,3,1,3,2,1,2
+41,No,Travel_Rarely,796,Sales,4,1,Marketing,1,1815,3,Female,81,3,3,Sales Executive,3,Divorced,10447,26458,0,Y,Yes,13,3,4,80,1,23,3,4,22,14,13,5
+30,No,Travel_Rarely,1092,Research & Development,10,3,Medical,1,1816,1,Female,64,3,3,Manufacturing Director,3,Single,9667,2739,9,Y,No,14,3,2,80,0,9,3,3,7,7,0,2
+26,Yes,Travel_Rarely,920,Human Resources,20,2,Medical,1,1818,4,Female,69,3,1,Human Resources,2,Married,2148,6889,0,Y,Yes,11,3,3,80,0,6,3,3,5,1,1,4
+46,Yes,Travel_Rarely,261,Research & Development,21,2,Medical,1,1821,4,Female,66,3,2,Healthcare Representative,2,Married,8926,10842,4,Y,No,22,4,4,80,1,13,2,4,9,7,3,7
+40,No,Travel_Rarely,1194,Research & Development,1,3,Life Sciences,1,1822,3,Female,52,3,2,Healthcare Representative,4,Divorced,6513,9060,4,Y,No,17,3,4,80,1,12,3,3,5,3,0,3
+34,No,Travel_Rarely,810,Sales,8,2,Technical Degree,1,1823,2,Male,92,4,2,Sales Executive,3,Married,6799,22128,1,Y,No,21,4,3,80,2,10,5,3,10,8,4,8
+58,No,Non-Travel,350,Sales,2,3,Medical,1,1824,2,Male,52,3,4,Manager,2,Divorced,16291,22577,4,Y,No,22,4,4,80,1,37,0,2,16,9,14,14
+35,No,Travel_Rarely,185,Research & Development,23,4,Medical,1,1826,2,Male,91,1,1,Laboratory Technician,3,Married,2705,9696,0,Y,No,16,3,2,80,1,6,2,4,5,4,0,3
+47,No,Travel_Rarely,1001,Research & Development,4,3,Life Sciences,1,1827,3,Female,92,2,3,Manufacturing Director,2,Divorced,10333,19271,8,Y,Yes,12,3,3,80,1,28,4,3,22,11,14,10
+40,No,Travel_Rarely,750,Research & Development,12,3,Life Sciences,1,1829,2,Female,47,3,2,Healthcare Representative,1,Divorced,4448,10748,2,Y,No,12,3,2,80,1,15,3,3,7,4,7,7
+54,No,Travel_Rarely,431,Research & Development,7,4,Medical,1,1830,4,Female,68,3,2,Research Scientist,4,Married,6854,15696,4,Y,No,15,3,2,80,1,14,2,2,7,1,1,7
+31,No,Travel_Frequently,1125,Sales,7,4,Marketing,1,1833,1,Female,68,3,3,Sales Executive,1,Married,9637,8277,2,Y,No,14,3,4,80,2,9,3,3,3,2,2,2
+28,No,Travel_Rarely,1217,Research & Development,1,3,Medical,1,1834,3,Female,67,3,1,Research Scientist,1,Married,3591,12719,1,Y,No,25,4,3,80,1,3,3,3,3,2,1,2
+38,No,Travel_Rarely,723,Sales,2,4,Marketing,1,1835,2,Female,77,1,2,Sales Representative,4,Married,5405,4244,2,Y,Yes,20,4,1,80,2,20,4,2,4,2,0,3
+26,No,Travel_Rarely,572,Sales,10,3,Medical,1,1836,3,Male,46,3,2,Sales Executive,4,Single,4684,9125,1,Y,No,13,3,1,80,0,5,4,3,5,3,1,2
+58,No,Travel_Frequently,1216,Research & Development,15,4,Life Sciences,1,1837,1,Male,87,3,4,Research Director,3,Married,15787,21624,2,Y,Yes,14,3,2,80,0,23,3,3,2,2,2,2
+18,No,Non-Travel,1431,Research & Development,14,3,Medical,1,1839,2,Female,33,3,1,Research Scientist,3,Single,1514,8018,1,Y,No,16,3,3,80,0,0,4,1,0,0,0,0
+31,Yes,Travel_Rarely,359,Human Resources,18,5,Human Resources,1,1842,4,Male,89,4,1,Human Resources,1,Married,2956,21495,0,Y,No,17,3,3,80,0,2,4,3,1,0,0,0
+29,Yes,Travel_Rarely,350,Human Resources,13,3,Human Resources,1,1844,1,Male,56,2,1,Human Resources,1,Divorced,2335,3157,4,Y,Yes,15,3,4,80,3,4,3,3,2,2,2,0
+45,No,Non-Travel,589,Sales,2,4,Life Sciences,1,1845,3,Female,67,3,2,Sales Executive,3,Married,5154,19665,4,Y,No,22,4,2,80,2,10,3,4,8,7,5,7
+36,No,Travel_Rarely,430,Research & Development,2,4,Other,1,1847,4,Female,73,3,2,Research Scientist,2,Married,6962,19573,4,Y,Yes,22,4,4,80,1,15,2,3,1,0,0,0
+43,No,Travel_Frequently,1422,Sales,2,4,Life Sciences,1,1849,1,Male,92,3,2,Sales Executive,4,Married,5675,19246,1,Y,No,20,4,3,80,1,7,5,3,7,7,7,7
+27,No,Travel_Frequently,1297,Research & Development,5,2,Life Sciences,1,1850,4,Female,53,3,1,Laboratory Technician,4,Single,2379,19826,0,Y,Yes,14,3,3,80,0,6,3,2,5,4,0,2
+29,No,Travel_Frequently,574,Research & Development,20,1,Medical,1,1852,4,Male,40,3,1,Laboratory Technician,4,Married,3812,7003,1,Y,No,13,3,2,80,0,11,3,4,11,8,3,10
+32,No,Travel_Frequently,1318,Sales,10,4,Marketing,1,1853,4,Male,79,3,2,Sales Executive,4,Single,4648,26075,8,Y,No,13,3,3,80,0,4,2,4,0,0,0,0
+42,No,Non-Travel,355,Research & Development,10,4,Technical Degree,1,1854,3,Male,38,3,1,Research Scientist,3,Married,2936,6161,3,Y,No,22,4,2,80,2,10,1,2,6,3,3,3
+47,No,Travel_Rarely,207,Research & Development,9,4,Life Sciences,1,1856,2,Female,64,3,1,Laboratory Technician,3,Single,2105,5411,4,Y,No,12,3,3,80,0,7,2,3,2,2,2,0
+46,No,Travel_Rarely,706,Research & Development,2,2,Life Sciences,1,1857,4,Male,82,3,3,Manufacturing Director,4,Divorced,8578,19989,3,Y,No,14,3,3,80,1,12,4,2,9,8,4,7
+28,No,Non-Travel,280,Human Resources,1,2,Life Sciences,1,1858,3,Male,43,3,1,Human Resources,4,Divorced,2706,10494,1,Y,No,15,3,2,80,1,3,2,3,3,2,2,2
+29,No,Travel_Rarely,726,Research & Development,29,1,Life Sciences,1,1859,4,Male,93,1,2,Healthcare Representative,3,Divorced,6384,21143,8,Y,No,17,3,4,80,2,11,3,3,7,0,1,6
+42,No,Travel_Rarely,1142,Research & Development,8,3,Life Sciences,1,1860,4,Male,81,3,1,Laboratory Technician,3,Single,3968,13624,4,Y,No,13,3,4,80,0,8,3,3,0,0,0,0
+32,Yes,Travel_Rarely,414,Sales,2,4,Marketing,1,1862,3,Male,82,2,2,Sales Executive,2,Single,9907,26186,7,Y,Yes,12,3,3,80,0,7,3,2,2,2,2,2
+46,No,Travel_Rarely,1319,Sales,3,3,Technical Degree,1,1863,1,Female,45,4,4,Sales Executive,1,Divorced,13225,7739,2,Y,No,12,3,4,80,1,25,5,3,19,17,2,8
+27,No,Travel_Rarely,728,Sales,23,1,Medical,1,1864,2,Female,36,2,2,Sales Representative,3,Married,3540,7018,1,Y,No,21,4,4,80,1,9,5,3,9,8,5,8
+29,No,Travel_Rarely,352,Human Resources,6,1,Medical,1,1865,4,Male,87,2,1,Human Resources,2,Married,2804,15434,1,Y,No,11,3,4,80,0,1,3,3,1,0,0,0
+43,No,Travel_Rarely,823,Research & Development,6,3,Medical,1,1866,1,Female,81,2,5,Manager,3,Married,19392,22539,7,Y,No,13,3,4,80,0,21,2,3,16,12,6,14
+48,No,Travel_Rarely,1224,Research & Development,10,3,Life Sciences,1,1867,4,Male,91,2,5,Research Director,2,Married,19665,13583,4,Y,No,12,3,4,80,0,29,3,3,22,10,12,9
+29,Yes,Travel_Frequently,459,Research & Development,24,2,Life Sciences,1,1868,4,Male,73,2,1,Research Scientist,4,Single,2439,14753,1,Y,Yes,24,4,2,80,0,1,3,2,1,0,1,0
+46,Yes,Travel_Rarely,1254,Sales,10,3,Life Sciences,1,1869,3,Female,64,3,3,Sales Executive,2,Married,7314,14011,5,Y,No,21,4,3,80,3,14,2,3,8,7,0,7
+27,No,Travel_Frequently,1131,Research & Development,15,3,Life Sciences,1,1870,4,Female,77,2,1,Research Scientist,1,Married,4774,23844,0,Y,No,19,3,4,80,1,8,2,2,7,6,7,3
+39,No,Travel_Rarely,835,Research & Development,19,4,Other,1,1871,4,Male,41,3,2,Research Scientist,4,Divorced,3902,5141,8,Y,No,14,3,2,80,3,7,2,3,2,2,2,2
+55,No,Travel_Rarely,836,Research & Development,2,4,Technical Degree,1,1873,2,Male,98,2,1,Research Scientist,4,Married,2662,7975,8,Y,No,20,4,2,80,1,19,2,4,5,2,0,4
+28,No,Travel_Rarely,1172,Sales,3,3,Medical,1,1875,2,Female,78,3,1,Sales Representative,2,Married,2856,3692,1,Y,No,19,3,4,80,1,1,3,3,1,0,0,0
+30,Yes,Travel_Rarely,945,Sales,9,3,Medical,1,1876,2,Male,89,3,1,Sales Representative,4,Single,1081,16019,1,Y,No,13,3,3,80,0,1,3,2,1,0,0,0
+22,Yes,Travel_Rarely,391,Research & Development,7,1,Life Sciences,1,1878,4,Male,75,3,1,Research Scientist,2,Single,2472,26092,1,Y,Yes,23,4,1,80,0,1,2,3,1,0,0,0
+36,No,Travel_Rarely,1266,Sales,10,4,Technical Degree,1,1880,2,Female,63,2,2,Sales Executive,3,Married,5673,6060,1,Y,Yes,13,3,1,80,1,10,4,3,10,9,1,7
+31,No,Travel_Rarely,311,Research & Development,20,3,Life Sciences,1,1881,2,Male,89,3,2,Laboratory Technician,3,Divorced,4197,18624,1,Y,No,11,3,1,80,1,10,2,3,10,8,0,2
+34,No,Travel_Rarely,1480,Sales,4,3,Life Sciences,1,1882,3,Male,64,3,3,Sales Executive,4,Married,9713,24444,2,Y,Yes,13,3,4,80,3,9,3,3,5,3,1,0
+29,No,Travel_Rarely,592,Research & Development,7,3,Life Sciences,1,1883,4,Male,59,3,1,Laboratory Technician,1,Single,2062,19384,3,Y,No,14,3,2,80,0,11,2,3,3,2,1,2
+37,No,Travel_Rarely,783,Research & Development,7,4,Medical,1,1885,4,Male,78,3,2,Research Scientist,1,Married,4284,13588,5,Y,Yes,22,4,3,80,1,16,2,3,5,3,0,4
+35,No,Travel_Rarely,219,Research & Development,16,2,Other,1,1886,4,Female,44,2,2,Manufacturing Director,2,Married,4788,25388,0,Y,Yes,11,3,4,80,0,4,2,3,3,2,0,2
+45,No,Travel_Rarely,556,Research & Development,25,2,Life Sciences,1,1888,2,Female,93,2,2,Manufacturing Director,4,Married,5906,23888,0,Y,No,13,3,4,80,2,10,2,2,9,8,3,8
+36,No,Travel_Frequently,1213,Human Resources,2,1,Human Resources,1,1890,2,Male,94,2,2,Human Resources,4,Single,3886,4223,1,Y,No,21,4,4,80,0,10,2,2,10,1,0,8
+40,No,Travel_Rarely,1137,Research & Development,1,4,Life Sciences,1,1892,1,Male,98,3,4,Manager,1,Divorced,16823,18991,2,Y,No,11,3,1,80,1,22,3,3,19,7,11,16
+26,No,Travel_Rarely,482,Research & Development,1,2,Life Sciences,1,1893,2,Female,90,2,1,Research Scientist,3,Married,2933,14908,1,Y,Yes,13,3,3,80,1,1,3,2,1,0,1,0
+27,No,Travel_Rarely,511,Sales,2,2,Medical,1,1898,1,Female,89,4,2,Sales Executive,3,Single,6500,26997,0,Y,No,14,3,2,80,0,9,5,2,8,7,0,7
+48,No,Travel_Frequently,117,Research & Development,22,3,Medical,1,1900,4,Female,58,3,4,Manager,4,Divorced,17174,2437,3,Y,No,11,3,2,80,1,24,3,3,22,17,4,7
+44,No,Travel_Rarely,170,Research & Development,1,4,Life Sciences,1,1903,2,Male,78,4,2,Healthcare Representative,1,Married,5033,9364,2,Y,No,15,3,4,80,1,10,5,3,2,0,2,2
+34,Yes,Non-Travel,967,Research & Development,16,4,Technical Degree,1,1905,4,Male,85,1,1,Research Scientist,1,Married,2307,14460,1,Y,Yes,23,4,2,80,1,5,2,3,5,2,3,0
+56,Yes,Travel_Rarely,1162,Research & Development,24,2,Life Sciences,1,1907,1,Male,97,3,1,Laboratory Technician,4,Single,2587,10261,1,Y,No,16,3,4,80,0,5,3,3,4,2,1,0
+36,No,Travel_Rarely,335,Sales,17,2,Marketing,1,1908,3,Male,33,2,2,Sales Executive,2,Married,5507,16822,2,Y,No,16,3,3,80,2,12,1,1,4,2,1,3
+41,No,Travel_Rarely,337,Sales,8,3,Marketing,1,1909,3,Female,54,3,2,Sales Executive,2,Married,4393,26841,5,Y,No,21,4,3,80,1,14,3,3,5,4,1,4
+42,No,Travel_Rarely,1396,Research & Development,6,3,Medical,1,1911,3,Male,83,3,3,Research Director,1,Married,13348,14842,9,Y,No,13,3,2,80,1,18,3,4,13,7,5,7
+31,No,Travel_Rarely,1079,Sales,10,2,Medical,1,1912,3,Female,86,3,2,Sales Executive,4,Divorced,6583,20115,2,Y,Yes,11,3,4,80,1,8,2,3,5,2,1,4
+34,No,Travel_Rarely,735,Sales,3,1,Medical,1,1915,4,Female,75,2,2,Sales Executive,4,Married,8103,16495,3,Y,Yes,12,3,3,80,0,9,3,2,4,2,0,1
+31,No,Travel_Rarely,471,Research & Development,4,3,Medical,1,1916,1,Female,62,4,1,Laboratory Technician,3,Divorced,3978,16031,8,Y,No,12,3,2,80,1,4,0,2,2,2,2,2
+26,No,Travel_Frequently,1096,Research & Development,6,3,Other,1,1918,3,Male,61,4,1,Laboratory Technician,4,Married,2544,7102,0,Y,No,18,3,1,80,1,8,3,3,7,7,7,7
+45,No,Travel_Frequently,1297,Research & Development,1,4,Medical,1,1922,2,Male,44,3,2,Healthcare Representative,3,Single,5399,14511,4,Y,No,12,3,3,80,0,12,3,3,4,2,0,3
+33,No,Travel_Rarely,217,Sales,10,4,Marketing,1,1924,2,Male,43,3,2,Sales Executive,3,Single,5487,10410,1,Y,No,14,3,2,80,0,10,2,2,10,4,0,9
+28,No,Travel_Frequently,783,Sales,1,2,Life Sciences,1,1927,3,Male,42,2,2,Sales Executive,4,Married,6834,19255,1,Y,Yes,12,3,3,80,1,7,2,3,7,7,0,7
+29,Yes,Travel_Frequently,746,Sales,24,3,Technical Degree,1,1928,3,Male,45,4,1,Sales Representative,1,Single,1091,10642,1,Y,No,17,3,4,80,0,1,3,3,1,0,0,0
+39,No,Non-Travel,1251,Sales,21,4,Life Sciences,1,1929,1,Female,32,1,2,Sales Executive,3,Married,5736,3987,6,Y,No,19,3,3,80,1,10,1,3,3,2,1,2
+27,No,Travel_Rarely,1354,Research & Development,2,4,Technical Degree,1,1931,2,Male,41,3,1,Research Scientist,2,Married,2226,6073,1,Y,No,11,3,3,80,1,6,3,2,5,3,1,2
+34,No,Travel_Frequently,735,Research & Development,22,4,Other,1,1932,3,Male,86,2,2,Research Scientist,4,Married,5747,26496,1,Y,Yes,15,3,2,80,0,16,3,3,15,10,6,11
+28,Yes,Travel_Rarely,1475,Sales,13,2,Marketing,1,1933,4,Female,84,3,2,Sales Executive,3,Single,9854,23352,3,Y,Yes,11,3,4,80,0,6,0,3,2,0,2,2
+47,No,Non-Travel,1169,Research & Development,14,4,Technical Degree,1,1934,3,Male,64,3,2,Research Scientist,2,Married,5467,2125,8,Y,No,18,3,3,80,1,16,4,4,8,7,1,7
+56,No,Travel_Rarely,1443,Sales,11,5,Marketing,1,1935,4,Female,89,2,2,Sales Executive,1,Married,5380,20328,4,Y,No,16,3,3,80,1,6,3,3,0,0,0,0
+39,No,Travel_Rarely,867,Research & Development,9,2,Medical,1,1936,1,Male,87,3,2,Manufacturing Director,1,Married,5151,12315,1,Y,No,25,4,4,80,1,10,3,3,10,0,7,9
+38,No,Travel_Frequently,1394,Research & Development,8,3,Medical,1,1937,4,Female,58,2,2,Research Scientist,2,Divorced,2133,18115,1,Y,Yes,16,3,3,80,1,20,3,3,20,11,0,7
+58,No,Travel_Rarely,605,Sales,21,3,Life Sciences,1,1938,4,Female,72,3,4,Manager,4,Married,17875,11761,4,Y,Yes,13,3,3,80,1,29,2,2,1,0,0,0
+32,Yes,Travel_Frequently,238,Research & Development,5,2,Life Sciences,1,1939,1,Female,47,4,1,Research Scientist,3,Single,2432,15318,3,Y,Yes,14,3,1,80,0,8,2,3,4,1,0,3
+38,No,Travel_Rarely,1206,Research & Development,9,2,Life Sciences,1,1940,2,Male,71,3,1,Research Scientist,4,Divorced,4771,14293,2,Y,No,19,3,4,80,2,10,0,4,5,2,0,3
+49,No,Travel_Frequently,1064,Research & Development,2,1,Life Sciences,1,1941,2,Male,42,3,5,Research Director,4,Married,19161,13738,3,Y,No,15,3,4,80,0,28,3,3,5,4,4,3
+42,No,Travel_Rarely,419,Sales,12,4,Marketing,1,1943,2,Male,77,3,2,Sales Executive,4,Divorced,5087,2900,3,Y,Yes,12,3,3,80,2,14,4,3,0,0,0,0
+27,Yes,Travel_Frequently,1337,Human Resources,22,3,Human Resources,1,1944,1,Female,58,2,1,Human Resources,2,Married,2863,19555,1,Y,No,12,3,1,80,0,1,2,3,1,0,0,0
+35,No,Travel_Rarely,682,Sales,18,4,Medical,1,1945,2,Male,71,3,2,Sales Executive,1,Married,5561,15975,0,Y,No,16,3,4,80,1,6,2,1,5,3,0,4
+28,No,Non-Travel,1103,Research & Development,16,3,Medical,1,1947,3,Male,49,3,1,Research Scientist,3,Single,2144,2122,1,Y,No,14,3,3,80,0,5,3,2,5,3,1,4
+31,No,Non-Travel,976,Research & Development,3,2,Medical,1,1948,3,Male,48,3,1,Research Scientist,1,Divorced,3065,3995,1,Y,Yes,13,3,4,80,1,4,3,4,4,2,2,3
+36,No,Non-Travel,1351,Research & Development,9,4,Life Sciences,1,1949,1,Male,66,4,1,Laboratory Technician,2,Married,2810,9238,1,Y,No,22,4,2,80,0,5,3,3,5,4,0,2
+34,No,Travel_Rarely,937,Sales,1,3,Marketing,1,1950,1,Male,32,3,3,Sales Executive,4,Single,9888,6770,1,Y,No,21,4,1,80,0,14,3,2,14,8,2,1
+34,No,Travel_Rarely,1239,Sales,13,4,Medical,1,1951,4,Male,39,3,3,Sales Executive,3,Divorced,8628,22914,1,Y,No,18,3,3,80,1,9,2,2,8,7,1,1
+26,No,Travel_Rarely,157,Research & Development,1,3,Medical,1,1952,3,Male,95,3,1,Laboratory Technician,1,Single,2867,20006,0,Y,No,13,3,4,80,0,8,6,2,7,7,7,6
+29,No,Travel_Rarely,136,Research & Development,1,3,Life Sciences,1,1954,1,Male,89,3,2,Healthcare Representative,1,Married,5373,6225,0,Y,No,12,3,1,80,1,6,5,2,5,3,0,2
+32,No,Non-Travel,1146,Research & Development,15,4,Medical,1,1955,3,Female,34,3,2,Healthcare Representative,4,Divorced,6667,16542,5,Y,No,18,3,2,80,1,9,6,3,5,1,1,2
+31,No,Travel_Frequently,1125,Research & Development,1,3,Life Sciences,1,1956,4,Male,48,1,2,Research Scientist,1,Married,5003,5771,1,Y,No,21,4,2,80,0,10,6,3,10,8,8,7
+28,Yes,Travel_Rarely,1404,Research & Development,17,3,Technical Degree,1,1960,3,Male,32,2,1,Laboratory Technician,4,Divorced,2367,18779,5,Y,No,12,3,1,80,1,6,2,2,4,1,0,3
+38,No,Travel_Rarely,1404,Sales,1,3,Life Sciences,1,1961,1,Male,59,2,1,Sales Representative,1,Single,2858,11473,4,Y,No,14,3,1,80,0,20,3,2,1,0,0,0
+35,No,Travel_Rarely,1224,Sales,7,4,Life Sciences,1,1962,3,Female,55,3,2,Sales Executive,4,Married,5204,13586,1,Y,Yes,11,3,4,80,0,10,2,3,10,8,0,9
+27,No,Travel_Rarely,954,Sales,9,3,Marketing,1,1965,4,Male,44,3,2,Sales Executive,4,Single,4105,5099,1,Y,No,14,3,1,80,0,7,5,3,7,7,0,7
+32,No,Travel_Rarely,1373,Research & Development,5,4,Life Sciences,1,1966,4,Male,56,2,2,Manufacturing Director,4,Single,9679,10138,8,Y,No,24,4,2,80,0,8,1,3,1,0,0,0
+31,Yes,Travel_Frequently,754,Sales,26,4,Marketing,1,1967,1,Male,63,3,2,Sales Executive,4,Married,5617,21075,1,Y,Yes,11,3,3,80,0,10,4,3,10,7,0,8
+53,Yes,Travel_Rarely,1168,Sales,24,4,Life Sciences,1,1968,1,Male,66,3,3,Sales Executive,1,Single,10448,5843,6,Y,Yes,13,3,2,80,0,15,2,2,2,2,2,2
+54,No,Travel_Rarely,155,Research & Development,9,2,Life Sciences,1,1969,1,Female,67,3,2,Research Scientist,3,Married,2897,22474,3,Y,No,11,3,3,80,2,9,6,2,4,3,2,3
+33,No,Travel_Frequently,1303,Research & Development,7,2,Life Sciences,1,1970,4,Male,36,3,2,Healthcare Representative,3,Divorced,5968,18079,1,Y,No,20,4,3,80,3,9,2,3,9,7,2,8
+43,No,Travel_Rarely,574,Research & Development,11,3,Life Sciences,1,1971,1,Male,30,3,3,Healthcare Representative,3,Married,7510,16873,1,Y,No,17,3,2,80,1,10,1,3,10,9,0,9
+38,No,Travel_Frequently,1444,Human Resources,1,4,Other,1,1972,4,Male,88,3,1,Human Resources,2,Married,2991,5224,0,Y,Yes,11,3,2,80,1,7,2,3,6,2,1,2
+55,No,Travel_Rarely,189,Human Resources,26,4,Human Resources,1,1973,3,Male,71,4,5,Manager,2,Married,19636,25811,4,Y,Yes,18,3,1,80,1,35,0,3,10,9,1,4
+31,No,Travel_Rarely,1276,Research & Development,2,1,Medical,1,1974,4,Female,59,1,1,Laboratory Technician,4,Divorced,1129,17536,1,Y,Yes,11,3,3,80,3,1,4,3,1,0,0,0
+39,No,Travel_Rarely,119,Sales,15,4,Marketing,1,1975,2,Male,77,3,4,Sales Executive,1,Single,13341,25098,0,Y,No,12,3,1,80,0,21,3,3,20,8,11,10
+42,No,Non-Travel,335,Research & Development,23,2,Life Sciences,1,1976,4,Male,37,2,2,Research Scientist,3,Single,4332,14811,1,Y,No,12,3,4,80,0,20,2,3,20,9,3,7
+31,No,Non-Travel,697,Research & Development,10,3,Medical,1,1979,3,Female,40,3,3,Research Director,3,Married,11031,26862,4,Y,No,20,4,3,80,1,13,2,4,11,7,4,8
+54,No,Travel_Rarely,157,Research & Development,10,3,Medical,1,1980,3,Female,77,3,2,Manufacturing Director,1,Single,4440,25198,6,Y,Yes,19,3,4,80,0,9,3,3,5,2,1,4
+24,No,Travel_Rarely,771,Research & Development,1,2,Life Sciences,1,1981,2,Male,45,2,2,Healthcare Representative,3,Single,4617,14120,1,Y,No,12,3,2,80,0,4,2,2,4,3,1,2
+23,No,Travel_Rarely,571,Research & Development,12,2,Other,1,1982,4,Male,78,3,1,Laboratory Technician,4,Single,2647,13672,1,Y,No,13,3,3,80,0,5,6,4,5,2,1,4
+40,No,Travel_Frequently,692,Research & Development,11,3,Technical Degree,1,1985,4,Female,73,3,2,Laboratory Technician,3,Married,6323,26849,1,Y,No,11,3,1,80,1,10,2,4,10,9,9,4
+40,No,Travel_Rarely,444,Sales,2,2,Marketing,1,1986,2,Female,92,3,2,Sales Executive,2,Married,5677,4258,3,Y,No,14,3,3,80,1,15,4,3,11,8,5,10
+25,No,Travel_Rarely,309,Human Resources,2,3,Human Resources,1,1987,3,Female,82,3,1,Human Resources,2,Married,2187,19655,4,Y,No,14,3,3,80,0,6,3,3,2,0,1,2
+30,No,Travel_Rarely,911,Research & Development,1,2,Medical,1,1989,4,Male,76,3,1,Laboratory Technician,2,Married,3748,4077,1,Y,No,13,3,3,80,0,12,6,2,12,8,1,7
+25,No,Travel_Rarely,977,Research & Development,2,1,Other,1,1992,4,Male,57,3,1,Laboratory Technician,3,Divorced,3977,7298,6,Y,Yes,19,3,3,80,1,7,2,2,2,2,0,2
+47,No,Travel_Rarely,1180,Research & Development,25,3,Medical,1,1993,1,Male,84,3,3,Healthcare Representative,3,Single,8633,13084,2,Y,No,23,4,2,80,0,25,3,3,17,14,12,11
+33,No,Non-Travel,1313,Research & Development,1,2,Medical,1,1994,2,Male,59,2,1,Laboratory Technician,3,Divorced,2008,20439,1,Y,No,12,3,3,80,3,1,2,2,1,1,0,0
+38,No,Travel_Rarely,1321,Sales,1,4,Life Sciences,1,1995,4,Male,86,3,2,Sales Executive,2,Married,4440,7636,0,Y,No,15,3,1,80,2,16,3,3,15,13,5,8
+31,No,Travel_Rarely,1154,Sales,2,2,Life Sciences,1,1996,1,Male,54,3,1,Sales Representative,3,Married,3067,6393,0,Y,No,19,3,3,80,1,3,1,3,2,2,1,2
+38,No,Travel_Frequently,508,Research & Development,6,4,Life Sciences,1,1997,1,Male,72,2,2,Manufacturing Director,3,Married,5321,14284,2,Y,No,11,3,4,80,1,10,1,3,8,3,7,7
+42,No,Travel_Rarely,557,Research & Development,18,4,Life Sciences,1,1998,4,Male,35,3,2,Research Scientist,1,Divorced,5410,11189,6,Y,Yes,17,3,3,80,1,9,3,2,4,3,1,2
+41,No,Travel_Rarely,642,Research & Development,1,3,Life Sciences,1,1999,4,Male,76,3,1,Research Scientist,4,Married,2782,21412,3,Y,No,22,4,1,80,1,12,3,3,5,3,1,0
+47,No,Non-Travel,1162,Research & Development,1,1,Medical,1,2000,3,Female,98,3,3,Research Director,2,Married,11957,17231,0,Y,No,18,3,1,80,2,14,3,1,13,8,5,12
+35,No,Travel_Rarely,1490,Research & Development,11,4,Medical,1,2003,4,Male,43,3,1,Laboratory Technician,3,Married,2660,20232,7,Y,Yes,11,3,3,80,1,5,3,3,2,2,2,2
+22,No,Travel_Rarely,581,Research & Development,1,2,Life Sciences,1,2007,4,Male,63,3,1,Research Scientist,3,Single,3375,17624,0,Y,No,12,3,4,80,0,4,2,4,3,2,1,2
+35,No,Travel_Rarely,1395,Research & Development,9,4,Medical,1,2008,2,Male,48,3,2,Research Scientist,3,Single,5098,18698,1,Y,No,19,3,2,80,0,10,5,3,10,7,0,8
+33,No,Travel_Rarely,501,Research & Development,15,2,Medical,1,2009,2,Female,95,3,2,Healthcare Representative,4,Married,4878,21653,0,Y,Yes,13,3,1,80,1,10,6,3,9,7,8,1
+32,No,Travel_Rarely,267,Research & Development,29,4,Life Sciences,1,2010,3,Female,49,2,1,Laboratory Technician,2,Single,2837,15919,1,Y,No,13,3,3,80,0,6,3,3,6,2,4,1
+40,No,Travel_Rarely,543,Research & Development,1,4,Life Sciences,1,2012,1,Male,83,3,1,Laboratory Technician,4,Married,2406,4060,8,Y,No,19,3,3,80,2,8,3,2,1,0,0,0
+32,No,Travel_Rarely,234,Sales,1,4,Medical,1,2013,2,Male,68,2,1,Sales Representative,2,Married,2269,18024,0,Y,No,14,3,2,80,1,3,2,3,2,2,2,2
+39,No,Travel_Rarely,116,Research & Development,24,1,Life Sciences,1,2014,1,Male,52,3,2,Research Scientist,4,Single,4108,5340,7,Y,No,13,3,1,80,0,18,2,3,7,7,1,7
+38,No,Travel_Rarely,201,Research & Development,10,3,Medical,1,2015,2,Female,99,1,3,Research Director,3,Married,13206,3376,3,Y,No,12,3,1,80,1,20,3,3,18,16,1,11
+32,No,Travel_Rarely,801,Sales,1,4,Marketing,1,2016,3,Female,48,3,3,Sales Executive,4,Married,10422,24032,1,Y,No,19,3,3,80,2,14,3,3,14,10,5,7
+37,No,Travel_Rarely,161,Research & Development,10,3,Life Sciences,1,2017,3,Female,42,4,3,Research Director,4,Married,13744,15471,1,Y,Yes,25,4,1,80,1,16,2,3,16,11,6,8
+25,No,Travel_Rarely,1382,Sales,8,2,Other,1,2018,1,Female,85,3,2,Sales Executive,3,Divorced,4907,13684,0,Y,Yes,22,4,2,80,1,6,3,2,5,3,0,4
+52,No,Non-Travel,585,Sales,29,4,Life Sciences,1,2019,1,Male,40,3,1,Sales Representative,4,Divorced,3482,19788,2,Y,No,15,3,2,80,2,16,3,2,9,8,0,0
+44,No,Travel_Rarely,1037,Research & Development,1,3,Medical,1,2020,2,Male,42,3,1,Research Scientist,4,Single,2436,13422,6,Y,Yes,12,3,3,80,0,6,2,3,4,3,1,2
+21,No,Travel_Rarely,501,Sales,5,1,Medical,1,2021,3,Male,58,3,1,Sales Representative,1,Single,2380,25479,1,Y,Yes,11,3,4,80,0,2,6,3,2,2,1,2
+39,No,Non-Travel,105,Research & Development,9,3,Life Sciences,1,2022,4,Male,87,3,5,Manager,4,Single,19431,15302,2,Y,No,13,3,3,80,0,21,3,2,6,0,1,3
+23,Yes,Travel_Frequently,638,Sales,9,3,Marketing,1,2023,4,Male,33,3,1,Sales Representative,1,Married,1790,26956,1,Y,No,19,3,1,80,1,1,3,2,1,0,1,0
+36,No,Travel_Rarely,557,Sales,3,3,Medical,1,2024,1,Female,94,2,3,Sales Executive,4,Married,7644,12695,0,Y,No,19,3,3,80,2,10,2,3,9,7,3,4
+36,No,Travel_Frequently,688,Research & Development,4,2,Life Sciences,1,2025,4,Female,97,3,2,Manufacturing Director,2,Divorced,5131,9192,7,Y,No,13,3,2,80,3,18,3,3,4,2,0,2
+56,No,Non-Travel,667,Research & Development,1,4,Life Sciences,1,2026,3,Male,57,3,2,Healthcare Representative,3,Divorced,6306,26236,1,Y,No,21,4,1,80,1,13,2,2,13,12,1,9
+29,Yes,Travel_Rarely,1092,Research & Development,1,4,Medical,1,2027,1,Male,36,3,1,Research Scientist,4,Married,4787,26124,9,Y,Yes,14,3,2,80,3,4,3,4,2,2,2,2
+42,No,Travel_Rarely,300,Research & Development,2,3,Life Sciences,1,2031,1,Male,56,3,5,Manager,3,Married,18880,17312,5,Y,No,11,3,1,80,0,24,2,2,22,6,4,14
+56,Yes,Travel_Rarely,310,Research & Development,7,2,Technical Degree,1,2032,4,Male,72,3,1,Laboratory Technician,3,Married,2339,3666,8,Y,No,11,3,4,80,1,14,4,1,10,9,9,8
+41,No,Travel_Rarely,582,Research & Development,28,4,Life Sciences,1,2034,1,Female,60,2,4,Manufacturing Director,2,Married,13570,5640,0,Y,No,23,4,3,80,1,21,3,3,20,7,0,10
+34,No,Travel_Rarely,704,Sales,28,3,Marketing,1,2035,4,Female,95,2,2,Sales Executive,3,Married,6712,8978,1,Y,No,21,4,4,80,2,8,2,3,8,7,1,7
+36,No,Non-Travel,301,Sales,15,4,Marketing,1,2036,4,Male,88,1,2,Sales Executive,4,Divorced,5406,10436,1,Y,No,24,4,1,80,1,15,4,2,15,12,11,11
+41,No,Travel_Rarely,930,Sales,3,3,Life Sciences,1,2037,3,Male,57,2,2,Sales Executive,2,Divorced,8938,12227,2,Y,No,11,3,3,80,1,14,5,3,5,4,0,4
+32,No,Travel_Rarely,529,Research & Development,2,3,Technical Degree,1,2038,4,Male,78,3,1,Research Scientist,1,Single,2439,11288,1,Y,No,14,3,4,80,0,4,4,3,4,2,1,2
+35,No,Travel_Rarely,1146,Human Resources,26,4,Life Sciences,1,2040,3,Female,31,3,3,Human Resources,4,Single,8837,16642,1,Y,Yes,16,3,3,80,0,9,2,3,9,0,1,7
+38,No,Travel_Rarely,345,Sales,10,2,Life Sciences,1,2041,1,Female,100,3,2,Sales Executive,4,Married,5343,5982,1,Y,No,11,3,3,80,1,10,1,3,10,7,1,9
+50,Yes,Travel_Frequently,878,Sales,1,4,Life Sciences,1,2044,2,Male,94,3,2,Sales Executive,3,Divorced,6728,14255,7,Y,No,12,3,4,80,2,12,3,3,6,3,0,1
+36,No,Travel_Rarely,1120,Sales,11,4,Marketing,1,2045,2,Female,100,2,2,Sales Executive,4,Married,6652,14369,4,Y,No,13,3,1,80,1,8,2,2,6,3,0,0
+45,No,Travel_Rarely,374,Sales,20,3,Life Sciences,1,2046,4,Female,50,3,2,Sales Executive,3,Single,4850,23333,8,Y,No,15,3,3,80,0,8,3,3,5,3,0,1
+40,No,Travel_Rarely,1322,Research & Development,2,4,Life Sciences,1,2048,3,Male,52,2,1,Research Scientist,3,Single,2809,2725,2,Y,No,14,3,4,80,0,8,2,3,2,2,2,2
+35,No,Travel_Frequently,1199,Research & Development,18,4,Life Sciences,1,2049,3,Male,80,3,2,Healthcare Representative,3,Married,5689,24594,1,Y,Yes,14,3,4,80,2,10,2,4,10,2,0,2
+40,No,Travel_Rarely,1194,Research & Development,2,4,Medical,1,2051,3,Female,98,3,1,Research Scientist,3,Married,2001,12549,2,Y,No,14,3,2,80,3,20,2,3,5,3,0,2
+35,No,Travel_Rarely,287,Research & Development,1,4,Life Sciences,1,2052,3,Female,62,1,1,Research Scientist,4,Married,2977,8952,1,Y,No,12,3,4,80,1,4,5,3,4,3,1,1
+29,No,Travel_Rarely,1378,Research & Development,13,2,Other,1,2053,4,Male,46,2,2,Laboratory Technician,2,Married,4025,23679,4,Y,Yes,13,3,1,80,1,10,2,3,4,3,0,3
+29,No,Travel_Rarely,468,Research & Development,28,4,Medical,1,2054,4,Female,73,2,1,Research Scientist,1,Single,3785,8489,1,Y,No,14,3,2,80,0,5,3,1,5,4,0,4
+50,Yes,Travel_Rarely,410,Sales,28,3,Marketing,1,2055,4,Male,39,2,3,Sales Executive,1,Divorced,10854,16586,4,Y,Yes,13,3,2,80,1,20,3,3,3,2,2,0
+39,No,Travel_Rarely,722,Sales,24,1,Marketing,1,2056,2,Female,60,2,4,Sales Executive,4,Married,12031,8828,0,Y,No,11,3,1,80,1,21,2,2,20,9,9,6
+31,No,Non-Travel,325,Research & Development,5,3,Medical,1,2057,2,Male,74,3,2,Manufacturing Director,1,Single,9936,3787,0,Y,No,19,3,2,80,0,10,2,3,9,4,1,7
+26,No,Travel_Rarely,1167,Sales,5,3,Other,1,2060,4,Female,30,2,1,Sales Representative,3,Single,2966,21378,0,Y,No,18,3,4,80,0,5,2,3,4,2,0,0
+36,No,Travel_Frequently,884,Research & Development,23,2,Medical,1,2061,3,Male,41,4,2,Laboratory Technician,4,Married,2571,12290,4,Y,No,17,3,3,80,1,17,3,3,5,2,0,3
+39,No,Travel_Rarely,613,Research & Development,6,1,Medical,1,2062,4,Male,42,2,3,Healthcare Representative,1,Married,9991,21457,4,Y,No,15,3,1,80,1,9,5,3,7,7,1,7
+27,No,Travel_Rarely,155,Research & Development,4,3,Life Sciences,1,2064,2,Male,87,4,2,Manufacturing Director,2,Married,6142,5174,1,Y,Yes,20,4,2,80,1,6,0,3,6,2,0,3
+49,No,Travel_Frequently,1023,Sales,2,3,Medical,1,2065,4,Male,63,2,2,Sales Executive,2,Married,5390,13243,2,Y,No,14,3,4,80,0,17,3,2,9,6,0,8
+34,No,Travel_Rarely,628,Research & Development,8,3,Medical,1,2068,2,Male,82,4,2,Laboratory Technician,3,Married,4404,10228,2,Y,No,12,3,1,80,0,6,3,4,4,3,1,2
diff --git a/data/diabetes.csv b/data/diabetes.csv
new file mode 100644
index 0000000000000000000000000000000000000000..db6f317685a4668bc0529b16ea1544022e780002
--- /dev/null
+++ b/data/diabetes.csv
@@ -0,0 +1,769 @@
+Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome
+6,148,72,35,0,33.6,0.627,50,1
+1,85,66,29,0,26.6,0.351,31,0
+8,183,64,0,0,23.3,0.672,32,1
+1,89,66,23,94,28.1,0.167,21,0
+0,137,40,35,168,43.1,2.288,33,1
+5,116,74,0,0,25.6,0.201,30,0
+3,78,50,32,88,31,0.248,26,1
+10,115,0,0,0,35.3,0.134,29,0
+2,197,70,45,543,30.5,0.158,53,1
+8,125,96,0,0,0,0.232,54,1
+4,110,92,0,0,37.6,0.191,30,0
+10,168,74,0,0,38,0.537,34,1
+10,139,80,0,0,27.1,1.441,57,0
+1,189,60,23,846,30.1,0.398,59,1
+5,166,72,19,175,25.8,0.587,51,1
+7,100,0,0,0,30,0.484,32,1
+0,118,84,47,230,45.8,0.551,31,1
+7,107,74,0,0,29.6,0.254,31,1
+1,103,30,38,83,43.3,0.183,33,0
+1,115,70,30,96,34.6,0.529,32,1
+3,126,88,41,235,39.3,0.704,27,0
+8,99,84,0,0,35.4,0.388,50,0
+7,196,90,0,0,39.8,0.451,41,1
+9,119,80,35,0,29,0.263,29,1
+11,143,94,33,146,36.6,0.254,51,1
+10,125,70,26,115,31.1,0.205,41,1
+7,147,76,0,0,39.4,0.257,43,1
+1,97,66,15,140,23.2,0.487,22,0
+13,145,82,19,110,22.2,0.245,57,0
+5,117,92,0,0,34.1,0.337,38,0
+5,109,75,26,0,36,0.546,60,0
+3,158,76,36,245,31.6,0.851,28,1
+3,88,58,11,54,24.8,0.267,22,0
+6,92,92,0,0,19.9,0.188,28,0
+10,122,78,31,0,27.6,0.512,45,0
+4,103,60,33,192,24,0.966,33,0
+11,138,76,0,0,33.2,0.42,35,0
+9,102,76,37,0,32.9,0.665,46,1
+2,90,68,42,0,38.2,0.503,27,1
+4,111,72,47,207,37.1,1.39,56,1
+3,180,64,25,70,34,0.271,26,0
+7,133,84,0,0,40.2,0.696,37,0
+7,106,92,18,0,22.7,0.235,48,0
+9,171,110,24,240,45.4,0.721,54,1
+7,159,64,0,0,27.4,0.294,40,0
+0,180,66,39,0,42,1.893,25,1
+1,146,56,0,0,29.7,0.564,29,0
+2,71,70,27,0,28,0.586,22,0
+7,103,66,32,0,39.1,0.344,31,1
+7,105,0,0,0,0,0.305,24,0
+1,103,80,11,82,19.4,0.491,22,0
+1,101,50,15,36,24.2,0.526,26,0
+5,88,66,21,23,24.4,0.342,30,0
+8,176,90,34,300,33.7,0.467,58,1
+7,150,66,42,342,34.7,0.718,42,0
+1,73,50,10,0,23,0.248,21,0
+7,187,68,39,304,37.7,0.254,41,1
+0,100,88,60,110,46.8,0.962,31,0
+0,146,82,0,0,40.5,1.781,44,0
+0,105,64,41,142,41.5,0.173,22,0
+2,84,0,0,0,0,0.304,21,0
+8,133,72,0,0,32.9,0.27,39,1
+5,44,62,0,0,25,0.587,36,0
+2,141,58,34,128,25.4,0.699,24,0
+7,114,66,0,0,32.8,0.258,42,1
+5,99,74,27,0,29,0.203,32,0
+0,109,88,30,0,32.5,0.855,38,1
+2,109,92,0,0,42.7,0.845,54,0
+1,95,66,13,38,19.6,0.334,25,0
+4,146,85,27,100,28.9,0.189,27,0
+2,100,66,20,90,32.9,0.867,28,1
+5,139,64,35,140,28.6,0.411,26,0
+13,126,90,0,0,43.4,0.583,42,1
+4,129,86,20,270,35.1,0.231,23,0
+1,79,75,30,0,32,0.396,22,0
+1,0,48,20,0,24.7,0.14,22,0
+7,62,78,0,0,32.6,0.391,41,0
+5,95,72,33,0,37.7,0.37,27,0
+0,131,0,0,0,43.2,0.27,26,1
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\ No newline at end of file
diff --git a/data/indian_liver_patient.csv b/data/indian_liver_patient.csv
new file mode 100644
index 0000000000000000000000000000000000000000..701425aed39a6e6bbc00cc6232626075726b2428
--- /dev/null
+++ b/data/indian_liver_patient.csv
@@ -0,0 +1,584 @@
+Age,Gender,Total_Bilirubin,Direct_Bilirubin,Alkaline_Phosphotase,Alamine_Aminotransferase,Aspartate_Aminotransferase,Total_Protiens,Albumin,Albumin_and_Globulin_Ratio,Dataset
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+72,Male,3.9,2,195,27,59,7.3,2.4,0.4,1
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+55,Male,0.7,0.2,290,53,58,6.8,3.4,1,1
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+72,Male,2.7,1.3,260,31,56,7.4,3,0.6,1
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+74,Female,1.1,0.4,214,22,30,8.1,4.1,1,1
+61,Male,0.7,0.2,145,53,41,5.8,2.7,0.87,1
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+22,Female,6.7,3.2,850,154,248,6.2,2.8,0.8,1
+42,Female,0.8,0.2,195,18,15,6.7,3,0.8,1
+32,Male,0.7,0.2,276,102,190,6,2.9,0.93,1
+60,Male,0.7,0.2,171,31,26,7,3.5,1,2
+65,Male,0.8,0.1,146,17,29,5.9,3.2,1.18,2
+53,Female,0.8,0.2,193,96,57,6.7,3.6,1.16,1
+27,Male,1,0.3,180,56,111,6.8,3.9,1.85,2
+35,Female,1,0.3,805,133,103,7.9,3.3,0.7,1
+65,Male,0.7,0.2,265,30,28,5.2,1.8,0.52,2
+25,Male,0.7,0.2,185,196,401,6.5,3.9,1.5,1
+32,Male,0.7,0.2,165,31,29,6.1,3,0.96,2
+24,Male,1,0.2,189,52,31,8,4.8,1.5,1
+67,Male,2.2,1.1,198,42,39,7.2,3,0.7,1
+68,Male,1.8,0.5,151,18,22,6.5,4,1.6,1
+55,Male,3.6,1.6,349,40,70,7.2,2.9,0.6,1
+70,Male,2.7,1.2,365,62,55,6,2.4,0.6,1
+36,Male,2.8,1.5,305,28,76,5.9,2.5,0.7,1
+42,Male,0.8,0.2,127,29,30,4.9,2.7,1.2,1
+53,Male,19.8,10.4,238,39,221,8.1,2.5,0.4,1
+32,Male,30.5,17.1,218,39,79,5.5,2.7,0.9,1
+32,Male,32.6,14.1,219,95,235,5.8,3.1,1.1,1
+56,Male,17.7,8.8,239,43,185,5.6,2.4,0.7,1
+50,Male,0.9,0.3,194,190,73,7.5,3.9,1,1
+46,Male,18.4,8.5,450,119,230,7.5,3.3,0.7,1
+46,Male,20,10,254,140,540,5.4,3,1.2,1
+37,Female,0.8,0.2,205,31,36,9.2,4.6,1,2
+45,Male,2.2,1.6,320,37,48,6.8,3.4,1,1
+56,Male,1,0.3,195,22,28,5.8,2.6,0.8,2
+69,Male,0.9,0.2,215,32,24,6.9,3,0.7,1
+49,Male,1,0.3,230,48,58,8.4,4.2,1,1
+49,Male,3.9,2.1,189,65,181,6.9,3,0.7,1
+60,Male,0.9,0.3,168,16,24,6.7,3,0.8,1
+28,Male,0.9,0.2,215,50,28,8,4,1,1
+45,Male,2.9,1.4,210,74,68,7.2,3.6,1,1
+35,Male,26.3,12.1,108,168,630,9.2,2,0.3,1
+62,Male,1.8,0.9,224,69,155,8.6,4,0.8,1
+55,Male,4.4,2.9,230,14,25,7.1,2.1,0.4,1
+46,Female,0.8,0.2,185,24,15,7.9,3.7,0.8,1
+50,Male,0.6,0.2,137,15,16,4.8,2.6,1.1,1
+29,Male,0.8,0.2,156,12,15,6.8,3.7,1.1,2
+53,Female,0.9,0.2,210,35,32,8,3.9,0.9,2
+46,Male,9.4,5.2,268,21,63,6.4,2.8,0.8,1
+40,Male,3.5,1.6,298,68,200,7.1,3.4,0.9,1
+45,Male,1.7,0.8,315,12,38,6.3,2.1,0.5,1
+55,Male,3.3,1.5,214,54,152,5.1,1.8,0.5,1
+22,Female,1.1,0.3,138,14,21,7,3.8,1.1,2
+40,Male,30.8,18.3,285,110,186,7.9,2.7,0.5,1
+62,Male,0.7,0.2,162,12,17,8.2,3.2,0.6,2
+46,Female,1.4,0.4,298,509,623,3.6,1,0.3,1
+39,Male,1.6,0.8,230,88,74,8,4,1,2
+60,Male,19.6,9.5,466,46,52,6.1,2,0.4,1
+46,Male,15.8,7.2,227,67,220,6.9,2.6,0.6,1
+10,Female,0.8,0.1,395,25,75,7.6,3.6,0.9,1
+52,Male,1.8,0.8,97,85,78,6.4,2.7,0.7,1
+65,Female,0.7,0.2,406,24,45,7.2,3.5,0.9,2
+42,Male,0.8,0.2,114,21,23,7,3,0.7,2
+42,Male,0.8,0.2,198,29,19,6.6,3,0.8,2
+62,Male,0.7,0.2,173,46,47,7.3,4.1,1.2,2
+40,Male,1.2,0.6,204,23,27,7.6,4,1.1,1
+54,Female,5.5,3.2,350,67,42,7,3.2,0.8,1
+45,Female,0.7,0.2,153,41,42,4.5,2.2,0.9,2
+45,Male,20.2,11.7,188,47,32,5.4,2.3,0.7,1
+50,Female,27.7,10.8,380,39,348,7.1,2.3,0.4,1
+42,Male,11.1,6.1,214,60,186,6.9,2.8,2.8,1
+40,Female,2.1,1,768,74,141,7.8,4.9,1.6,1
+46,Male,3.3,1.5,172,25,41,5.6,2.4,0.7,1
+29,Male,1.2,0.4,160,20,22,6.2,3,0.9,2
+45,Male,0.6,0.1,196,29,30,5.8,2.9,1,1
+46,Male,10.2,4.2,232,58,140,7,2.7,0.6,1
+73,Male,1.8,0.9,220,20,43,6.5,3,0.8,1
+55,Male,0.8,0.2,290,139,87,7,3,0.7,1
+51,Male,0.7,0.1,180,25,27,6.1,3.1,1,1
+51,Male,2.9,1.2,189,80,125,6.2,3.1,1,1
+51,Male,4,2.5,275,382,330,7.5,4,1.1,1
+26,Male,42.8,19.7,390,75,138,7.5,2.6,0.5,1
+66,Male,15.2,7.7,356,321,562,6.5,2.2,0.4,1
+66,Male,16.6,7.6,315,233,384,6.9,2,0.4,1
+66,Male,17.3,8.5,388,173,367,7.8,2.6,0.5,1
+64,Male,1.4,0.5,298,31,83,7.2,2.6,0.5,1
+38,Female,0.6,0.1,165,22,34,5.9,2.9,0.9,2
+43,Male,22.5,11.8,143,22,143,6.6,2.1,0.46,1
+50,Female,1,0.3,191,22,31,7.8,4,1,2
+52,Male,2.7,1.4,251,20,40,6,1.7,0.39,1
+20,Female,16.7,8.4,200,91,101,6.9,3.5,1.02,1
+16,Male,7.7,4.1,268,213,168,7.1,4,1.2,1
+16,Male,2.6,1.2,236,131,90,5.4,2.6,0.9,1
+90,Male,1.1,0.3,215,46,134,6.9,3,0.7,1
+32,Male,15.6,9.5,134,54,125,5.6,4,2.5,1
+32,Male,3.7,1.6,612,50,88,6.2,1.9,0.4,1
+32,Male,12.1,6,515,48,92,6.6,2.4,0.5,1
+32,Male,25,13.7,560,41,88,7.9,2.5,2.5,1
+32,Male,15,8.2,289,58,80,5.3,2.2,0.7,1
+32,Male,12.7,8.4,190,28,47,5.4,2.6,0.9,1
+60,Male,0.5,0.1,500,20,34,5.9,1.6,0.37,2
+40,Male,0.6,0.1,98,35,31,6,3.2,1.1,1
+52,Male,0.8,0.2,245,48,49,6.4,3.2,1,1
+31,Male,1.3,0.5,184,29,32,6.8,3.4,1,1
+38,Male,1,0.3,216,21,24,7.3,4.4,1.5,2
diff --git a/data/loan_approval_dataset.csv b/data/loan_approval_dataset.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0d0145fbed783b7594eb0b10dcd83407dda6494e
--- /dev/null
+++ b/data/loan_approval_dataset.csv
@@ -0,0 +1,4270 @@
+loan_id, no_of_dependents, education, self_employed, income_annum, loan_amount, loan_term, cibil_score, residential_assets_value, commercial_assets_value, luxury_assets_value, bank_asset_value, loan_status
+1,2, Graduate, No,9600000,29900000,12,778,2400000,17600000,22700000,8000000, Approved
+2,0, Not Graduate, Yes,4100000,12200000,8,417,2700000,2200000,8800000,3300000, Rejected
+3,3, Graduate, No,9100000,29700000,20,506,7100000,4500000,33300000,12800000, Rejected
+4,3, Graduate, No,8200000,30700000,8,467,18200000,3300000,23300000,7900000, Rejected
+5,5, Not Graduate, Yes,9800000,24200000,20,382,12400000,8200000,29400000,5000000, Rejected
+6,0, Graduate, Yes,4800000,13500000,10,319,6800000,8300000,13700000,5100000, Rejected
+7,5, Graduate, No,8700000,33000000,4,678,22500000,14800000,29200000,4300000, Approved
+8,2, Graduate, Yes,5700000,15000000,20,382,13200000,5700000,11800000,6000000, Rejected
+9,0, Graduate, Yes,800000,2200000,20,782,1300000,800000,2800000,600000, Approved
+10,5, Not Graduate, No,1100000,4300000,10,388,3200000,1400000,3300000,1600000, Rejected
+11,4, Graduate, Yes,2900000,11200000,2,547,8100000,4700000,9500000,3100000, Approved
+12,2, Not Graduate, Yes,6700000,22700000,18,538,15300000,5800000,20400000,6400000, Rejected
+13,3, Not Graduate, Yes,5000000,11600000,16,311,6400000,9600000,14600000,4300000, Rejected
+14,2, Graduate, Yes,9100000,31500000,14,679,10800000,16600000,20900000,5000000, Approved
+15,1, Not Graduate, No,1900000,7400000,6,469,1900000,1200000,5900000,1900000, Rejected
+16,5, Not Graduate, No,4700000,10700000,10,794,5700000,3900000,16400000,4400000, Approved
+17,2, Graduate, Yes,500000,1600000,4,663,1300000,100000,1300000,700000, Approved
+18,4, Not Graduate, Yes,2900000,9400000,14,780,2900000,2800000,6700000,4300000, Approved
+19,2, Graduate, No,2700000,10300000,10,736,1000000,0,6200000,3300000, Approved
+20,5, Graduate, No,6300000,14600000,12,652,10300000,3500000,23500000,5900000, Approved
+21,2, Graduate, No,5000000,19400000,12,315,9500000,1600000,18000000,6100000, Rejected
+22,4, Graduate, No,5800000,14000000,16,530,3800000,11300000,22200000,5400000, Rejected
+23,4, Graduate, Yes,6500000,25700000,18,311,13100000,1700000,19500000,8500000, Rejected
+24,0, Not Graduate, Yes,500000,1400000,2,551,900000,600000,1100000,300000, Approved
+25,0, Not Graduate, No,4900000,9800000,16,324,3800000,8700000,10000000,3300000, Rejected
+26,5, Not Graduate, No,3100000,9500000,20,514,7900000,3100000,6600000,2600000, Rejected
+27,4, Graduate, No,8200000,28100000,12,696,11500000,10600000,25300000,7200000, Approved
+28,4, Not Graduate, Yes,2400000,5600000,4,662,4500000,4200000,5400000,2500000, Approved
+29,5, Not Graduate, Yes,7000000,24000000,6,336,2300000,11900000,27500000,9700000, Rejected
+30,3, Not Graduate, Yes,9000000,31500000,10,850,21800000,12400000,33700000,8000000, Approved
+31,2, Not Graduate, No,9800000,25300000,12,313,20200000,5200000,25500000,9300000, Rejected
+32,2, Graduate, No,5700000,12000000,6,363,3600000,7400000,21700000,4300000, Rejected
+33,1, Not Graduate, Yes,800000,1600000,10,436,700000,200000,2200000,1000000, Rejected
+34,5, Not Graduate, Yes,8400000,22000000,2,830,3800000,3900000,19900000,5400000, Approved
+35,3, Graduate, No,4900000,11900000,8,612,9700000,1200000,19000000,5800000, Approved
+36,2, Graduate, Yes,1700000,3400000,8,691,2700000,2800000,6000000,900000, Approved
+37,3, Not Graduate, No,1600000,6200000,18,636,3400000,700000,5300000,1400000, Approved
+38,5, Graduate, Yes,8000000,27200000,6,348,6400000,300000,16700000,7100000, Rejected
+39,5, Graduate, No,3600000,7700000,16,830,7000000,1300000,10000000,2900000, Approved
+40,3, Not Graduate, Yes,1500000,5100000,6,352,100000,200000,5600000,900000, Rejected
+41,1, Graduate, No,7800000,18100000,2,712,8600000,11200000,21700000,9000000, Approved
+42,2, Not Graduate, No,9100000,24900000,16,822,22300000,12100000,31000000,5200000, Approved
+43,3, Graduate, No,1400000,3400000,6,540,200000,1500000,3900000,800000, Rejected
+44,2, Graduate, Yes,800000,2300000,12,342,2200000,1300000,1800000,800000, Rejected
+45,5, Graduate, No,6500000,13400000,18,787,18200000,300000,16200000,5400000, Approved
+46,4, Graduate, No,8000000,27800000,16,331,13000000,6300000,21400000,10900000, Rejected
+47,3, Not Graduate, Yes,4200000,14600000,6,679,2400000,6900000,8700000,4900000, Approved
+48,1, Graduate, Yes,4900000,19100000,14,677,5400000,9100000,17700000,6500000, Approved
+49,3, Not Graduate, No,5500000,20500000,12,634,800000,8600000,18500000,8200000, Approved
+50,1, Not Graduate, Yes,9500000,19100000,16,662,100000,10500000,37700000,11700000, Approved
+51,4, Graduate, No,7300000,25400000,16,502,500000,1800000,20500000,10500000, Rejected
+52,2, Graduate, No,8700000,24700000,10,435,6800000,3500000,21800000,11300000, Rejected
+53,5, Not Graduate, No,3800000,7600000,4,689,8700000,100000,9300000,3400000, Approved
+54,1, Not Graduate, Yes,8400000,23000000,12,657,15400000,14800000,31900000,8200000, Approved
+55,2, Graduate, Yes,5100000,19700000,20,590,7400000,9300000,19400000,3400000, Approved
+56,5, Not Graduate, No,6700000,24500000,12,818,1200000,5600000,16300000,6200000, Approved
+57,2, Not Graduate, No,4300000,10600000,18,431,2100000,1500000,9300000,5200000, Rejected
+58,5, Graduate, Yes,9300000,30500000,18,841,19300000,10300000,34600000,8700000, Approved
+59,1, Graduate, No,7400000,18400000,20,421,18500000,9100000,17500000,4100000, Rejected
+60,4, Not Graduate, Yes,5500000,18200000,16,797,-100000,4900000,18600000,4800000, Approved
+61,2, Not Graduate, No,8500000,18900000,18,478,23800000,16300000,25900000,11400000, Rejected
+62,3, Not Graduate, Yes,9600000,30500000,18,669,4700000,1900000,26500000,9300000, Approved
+63,5, Not Graduate, Yes,8800000,28900000,6,365,24400000,8600000,27400000,4700000, Rejected
+64,3, Not Graduate, Yes,3300000,7500000,20,586,1600000,5600000,10500000,2900000, Approved
+65,4, Graduate, Yes,3900000,12300000,18,784,7600000,6900000,13100000,2800000, Approved
+66,1, Graduate, No,4100000,10300000,12,364,9500000,6100000,14900000,2800000, Rejected
+67,3, Not Graduate, No,8300000,29100000,10,715,6100000,11900000,24100000,11900000, Approved
+68,0, Not Graduate, Yes,2700000,10100000,20,693,200000,1700000,5900000,1400000, Rejected
+69,4, Graduate, No,5600000,12400000,4,777,5500000,3100000,11800000,5500000, Approved
+70,0, Graduate, No,1900000,5000000,12,312,4000000,2800000,4900000,2400000, Rejected
+71,4, Not Graduate, Yes,500000,1500000,20,340,100000,200000,1900000,600000, Rejected
+72,5, Graduate, Yes,5300000,18600000,4,386,2700000,9700000,11900000,4200000, Approved
+73,5, Not Graduate, No,7000000,18300000,4,418,18400000,11700000,21500000,7600000, Rejected
+74,3, Not Graduate, Yes,5800000,16700000,16,735,3900000,9400000,12600000,5600000, Approved
+75,2, Not Graduate, No,2600000,8400000,6,494,6500000,3800000,5600000,2000000, Rejected
+76,2, Not Graduate, No,1900000,6500000,18,671,600000,2500000,4800000,1100000, Approved
+77,4, Graduate, No,5700000,14800000,16,697,14300000,7800000,12900000,6300000, Approved
+78,0, Graduate, No,9000000,33500000,8,801,11600000,8900000,35400000,11100000, Approved
+79,2, Not Graduate, No,8500000,29400000,12,576,17600000,5600000,25200000,9000000, Approved
+80,0, Not Graduate, No,700000,1400000,14,639,1900000,700000,2400000,900000, Approved
+81,4, Graduate, No,3500000,8900000,4,470,1300000,2200000,12300000,2000000, Rejected
+82,0, Not Graduate, No,8800000,31200000,4,826,2900000,500000,33300000,8600000, Approved
+83,2, Not Graduate, Yes,9900000,21200000,16,363,25500000,11400000,26600000,6800000, Rejected
+84,3, Graduate, No,3600000,8600000,20,613,9400000,300000,10300000,3300000, Approved
+85,3, Not Graduate, Yes,3000000,8200000,16,713,5300000,5800000,11000000,3400000, Approved
+86,2, Graduate, No,6800000,21200000,16,439,17100000,4700000,23300000,3600000, Rejected
+87,5, Not Graduate, Yes,1100000,3800000,18,387,1300000,1200000,3800000,1600000, Rejected
+88,1, Not Graduate, Yes,8700000,28300000,8,402,20400000,13600000,27900000,10200000, Rejected
+89,4, Graduate, Yes,2000000,8000000,6,837,5100000,2600000,3900000,2900000, Approved
+90,2, Not Graduate, No,9800000,37600000,10,641,24100000,0,23400000,7600000, Approved
+91,4, Graduate, No,5700000,21100000,18,489,500000,4300000,12500000,6000000, Rejected
+92,4, Graduate, No,8800000,20700000,18,540,19200000,3200000,22400000,12700000, Rejected
+93,4, Graduate, No,3800000,8900000,4,844,9100000,3500000,13100000,4700000, Approved
+94,1, Graduate, No,1700000,6400000,10,452,900000,1100000,5600000,2100000, Rejected
+95,2, Graduate, No,1000000,2000000,10,366,1200000,400000,3200000,1300000, Rejected
+96,5, Graduate, No,300000,1100000,2,300,100000,500000,700000,400000, Approved
+97,2, Graduate, Yes,6600000,15000000,18,470,1200000,4800000,18200000,7000000, Rejected
+98,2, Not Graduate, No,8700000,25000000,20,861,14700000,8500000,23200000,7300000, Approved
+99,4, Graduate, No,9400000,29400000,12,562,25900000,15200000,36400000,7100000, Approved
+100,0, Graduate, No,4400000,10800000,14,463,2400000,4800000,13800000,4700000, Rejected
+101,4, Not Graduate, No,400000,900000,12,478,700000,100000,1200000,100000, Rejected
+102,2, Not Graduate, Yes,300000,1100000,2,702,300000,200000,500000,200000, Approved
+103,2, Not Graduate, Yes,4300000,12900000,20,618,11400000,3600000,11400000,2400000, Approved
+104,4, Graduate, No,1600000,4500000,12,633,700000,1700000,4100000,1900000, Approved
+105,5, Not Graduate, Yes,6200000,23600000,10,331,18500000,10300000,23800000,8700000, Rejected
+106,3, Not Graduate, Yes,4200000,9700000,16,841,7800000,300000,16700000,5100000, Approved
+107,4, Not Graduate, Yes,9000000,18100000,12,764,600000,16500000,20800000,11600000, Approved
+108,0, Graduate, No,2700000,10600000,6,591,1300000,2700000,9900000,1800000, Approved
+109,1, Graduate, Yes,9700000,35900000,2,719,19600000,7600000,20400000,10900000, Approved
+110,2, Graduate, No,3300000,6800000,14,317,3400000,300000,11700000,3600000, Rejected
+111,0, Not Graduate, No,300000,1100000,8,778,800000,200000,900000,100000, Approved
+112,3, Graduate, Yes,7400000,18200000,14,302,5600000,3100000,17900000,5000000, Rejected
+113,5, Not Graduate, No,7100000,19700000,8,502,7300000,5600000,25300000,9800000, Rejected
+114,5, Not Graduate, Yes,7300000,22100000,18,879,19500000,10600000,19300000,9800000, Approved
+115,1, Not Graduate, No,8400000,23400000,14,437,15400000,5800000,33400000,8100000, Rejected
+116,0, Not Graduate, Yes,3300000,10800000,12,797,600000,6000000,7700000,3300000, Approved
+117,4, Not Graduate, Yes,5800000,23200000,18,456,16100000,4200000,22600000,7500000, Rejected
+118,0, Not Graduate, No,600000,1600000,6,647,1500000,600000,1500000,700000, Approved
+119,0, Not Graduate, No,7200000,15800000,12,379,12700000,12200000,21500000,3600000, Rejected
+120,1, Not Graduate, Yes,9100000,32900000,2,717,2200000,2000000,23600000,5900000, Approved
+121,5, Graduate, No,900000,2300000,16,545,100000,200000,2700000,800000, Rejected
+122,2, Graduate, No,800000,3200000,8,317,300000,1000000,2000000,900000, Rejected
+123,1, Not Graduate, No,8500000,32900000,10,570,5100000,6200000,20500000,5500000, Approved
+124,0, Not Graduate, Yes,9000000,18700000,18,865,26800000,0,20900000,11300000, Approved
+125,3, Graduate, No,7000000,19500000,14,719,12200000,10300000,18200000,10200000, Approved
+126,3, Graduate, No,200000,600000,16,821,400000,100000,500000,100000, Approved
+127,4, Not Graduate, Yes,400000,800000,10,859,900000,500000,800000,200000, Approved
+128,3, Not Graduate, No,5100000,18200000,10,395,100000,8000000,15500000,6300000, Rejected
+129,2, Not Graduate, Yes,700000,2600000,12,429,1600000,1300000,2700000,800000, Rejected
+130,3, Graduate, No,400000,1200000,12,861,200000,600000,1100000,200000, Approved
+131,0, Not Graduate, Yes,9500000,20800000,14,565,15100000,11900000,33900000,13400000, Approved
+132,5, Graduate, No,8800000,22600000,10,357,7900000,8600000,18200000,4900000, Rejected
+133,3, Not Graduate, Yes,1800000,3600000,18,465,600000,500000,5400000,2600000, Rejected
+134,4, Not Graduate, Yes,6800000,13900000,8,479,11700000,9100000,25700000,9600000, Rejected
+135,3, Not Graduate, No,1500000,5500000,16,717,2100000,800000,4400000,1300000, Approved
+136,3, Graduate, No,1600000,5500000,12,425,600000,800000,5400000,900000, Rejected
+137,2, Not Graduate, No,4600000,16700000,2,786,200000,5900000,13900000,6100000, Approved
+138,5, Not Graduate, Yes,2200000,6700000,6,382,4400000,1300000,8600000,1100000, Rejected
+139,3, Not Graduate, Yes,2900000,8500000,12,564,1000000,3100000,7500000,1800000, Approved
+140,0, Graduate, No,200000,700000,8,501,500000,200000,700000,100000, Rejected
+141,2, Not Graduate, Yes,2500000,9400000,10,727,6600000,4100000,9500000,3300000, Approved
+142,4, Not Graduate, No,3600000,7500000,6,894,1100000,6500000,7400000,2800000, Approved
+143,0, Graduate, Yes,5500000,16700000,18,829,5500000,1300000,12800000,5900000, Approved
+144,4, Not Graduate, No,6600000,17400000,20,506,2600000,10000000,25900000,7200000, Rejected
+145,2, Graduate, Yes,8600000,32100000,6,802,9400000,16700000,24500000,9800000, Approved
+146,5, Not Graduate, No,600000,1500000,14,543,300000,900000,2100000,300000, Rejected
+147,3, Graduate, Yes,1400000,3200000,20,772,2400000,900000,5100000,1600000, Approved
+148,3, Graduate, No,4000000,11100000,12,572,9700000,100000,12500000,2400000, Approved
+149,0, Not Graduate, Yes,4900000,11900000,16,709,14600000,900000,18500000,3800000, Approved
+150,5, Graduate, No,2000000,6200000,18,402,4000000,2100000,7200000,1100000, Rejected
+151,1, Not Graduate, Yes,5200000,19300000,8,481,14300000,9500000,18800000,4200000, Rejected
+152,5, Graduate, Yes,8900000,28800000,6,772,13600000,5500000,20400000,8400000, Approved
+153,1, Graduate, Yes,6500000,20600000,2,306,15900000,1900000,18100000,3200000, Approved
+154,2, Not Graduate, No,1300000,4500000,6,415,0,900000,2900000,1200000, Rejected
+155,3, Not Graduate, No,9400000,35000000,16,548,18200000,4400000,36100000,4800000, Rejected
+156,5, Not Graduate, No,5000000,11200000,8,701,9100000,500000,14000000,4600000, Approved
+157,2, Graduate, No,3000000,7700000,12,890,4700000,4300000,8400000,2100000, Approved
+158,5, Not Graduate, Yes,9900000,33300000,6,364,5300000,18700000,27800000,8300000, Rejected
+159,5, Graduate, Yes,700000,1300000,20,704,1600000,0,2200000,600000, Approved
+160,3, Graduate, Yes,4000000,10600000,10,318,1500000,5100000,8000000,4900000, Rejected
+161,5, Not Graduate, No,3100000,9600000,2,761,5800000,1800000,10400000,4200000, Approved
+162,4, Not Graduate, No,4500000,15100000,6,693,3700000,1500000,17800000,6000000, Approved
+163,3, Not Graduate, No,9700000,20600000,16,524,24200000,11100000,27400000,6100000, Rejected
+164,2, Not Graduate, Yes,2000000,5300000,10,681,4900000,1400000,4300000,2900000, Approved
+165,2, Graduate, Yes,8100000,22300000,18,737,22300000,12600000,27000000,7300000, Approved
+166,0, Not Graduate, No,5700000,15900000,16,638,100000,9500000,16300000,4500000, Approved
+167,4, Not Graduate, No,5800000,12800000,2,656,500000,5000000,16000000,2800000, Approved
+168,1, Graduate, No,1800000,6500000,6,540,2500000,3200000,5000000,1100000, Rejected
+169,4, Not Graduate, Yes,9100000,35200000,6,341,1000000,300000,23100000,8200000, Rejected
+170,0, Not Graduate, Yes,4800000,17500000,2,371,11700000,6800000,18700000,3500000, Approved
+171,3, Not Graduate, Yes,3800000,10500000,12,886,4000000,500000,14900000,2300000, Approved
+172,0, Not Graduate, No,1900000,4100000,18,801,400000,800000,4800000,1200000, Approved
+173,3, Not Graduate, Yes,3600000,9500000,16,748,7700000,2400000,9700000,2600000, Approved
+174,2, Not Graduate, Yes,7400000,28200000,8,376,21900000,5000000,17400000,5200000, Rejected
+175,4, Not Graduate, Yes,6600000,14300000,8,371,10800000,9500000,18500000,7400000, Rejected
+176,2, Graduate, No,1800000,5300000,6,826,4500000,700000,6500000,1300000, Approved
+177,4, Not Graduate, No,9200000,27200000,12,873,4500000,1800000,33800000,11400000, Approved
+178,5, Not Graduate, Yes,2400000,8600000,8,309,500000,600000,5700000,2800000, Rejected
+179,4, Not Graduate, No,5600000,13300000,20,869,3300000,7500000,20000000,6500000, Approved
+180,5, Graduate, No,3800000,13900000,12,534,4700000,2900000,8200000,2800000, Rejected
+181,3, Not Graduate, Yes,4500000,17900000,6,787,9800000,3600000,14300000,4200000, Approved
+182,0, Graduate, Yes,900000,2200000,16,566,100000,700000,2000000,600000, Approved
+183,0, Not Graduate, No,2800000,9900000,8,742,4900000,1300000,6700000,1700000, Approved
+184,2, Not Graduate, No,7500000,23100000,4,824,12100000,10900000,26300000,9500000, Approved
+185,4, Graduate, No,1400000,3100000,14,575,3000000,2100000,4900000,1400000, Approved
+186,2, Graduate, Yes,3800000,10900000,10,766,1900000,3900000,8600000,3000000, Approved
+187,1, Not Graduate, Yes,1700000,5000000,10,888,2900000,900000,4100000,2200000, Approved
+188,3, Graduate, Yes,9000000,30400000,6,638,16800000,11000000,26900000,9200000, Approved
+189,5, Not Graduate, Yes,7300000,23300000,6,622,7100000,11600000,26400000,10500000, Approved
+190,1, Not Graduate, No,7400000,19800000,18,458,12600000,6200000,27700000,4000000, Rejected
+191,1, Not Graduate, No,9000000,28200000,16,327,1700000,2300000,24000000,11200000, Rejected
+192,0, Not Graduate, No,3000000,6500000,2,612,8800000,3400000,6700000,1700000, Approved
+193,1, Graduate, No,800000,2900000,8,682,2200000,1100000,2900000,700000, Approved
+194,2, Graduate, No,4800000,13200000,2,583,13700000,5800000,9500000,5200000, Approved
+195,5, Not Graduate, No,6400000,18300000,8,697,10000000,3600000,22500000,3600000, Approved
+196,3, Graduate, No,9200000,27100000,12,306,5800000,11500000,28000000,9600000, Rejected
+197,4, Not Graduate, Yes,400000,1500000,2,669,-100000,600000,900000,500000, Approved
+198,2, Not Graduate, No,2800000,6000000,18,816,6300000,4200000,8000000,3400000, Approved
+199,4, Not Graduate, Yes,8500000,28900000,20,455,15200000,5800000,22500000,9400000, Rejected
+200,3, Graduate, Yes,4700000,16400000,10,318,11400000,8100000,16200000,4300000, Rejected
+201,4, Not Graduate, Yes,9800000,21200000,20,355,22000000,8900000,31800000,14400000, Rejected
+202,2, Not Graduate, Yes,3800000,8900000,16,389,200000,5600000,12200000,2200000, Rejected
+203,2, Graduate, No,500000,1500000,2,888,1500000,300000,1500000,600000, Approved
+204,2, Graduate, Yes,6900000,15600000,6,352,13000000,5300000,22600000,10000000, Rejected
+205,4, Not Graduate, Yes,9600000,30100000,12,870,300000,6700000,38200000,5600000, Approved
+206,3, Not Graduate, No,2900000,6500000,18,827,8300000,600000,10400000,3200000, Approved
+207,2, Graduate, No,9800000,20900000,12,768,3400000,10200000,38600000,13400000, Approved
+208,0, Graduate, No,7100000,15400000,18,707,10300000,10800000,19600000,5800000, Approved
+209,1, Not Graduate, Yes,7700000,19100000,10,355,11300000,4900000,21900000,6600000, Rejected
+210,3, Graduate, No,1400000,3300000,2,652,100000,2100000,3500000,1900000, Approved
+211,3, Graduate, No,7800000,15900000,2,665,14400000,900000,27200000,5400000, Approved
+212,5, Not Graduate, Yes,1700000,6000000,18,420,500000,1600000,3700000,2300000, Rejected
+213,2, Not Graduate, No,8500000,32700000,18,471,12600000,9400000,33900000,12500000, Rejected
+214,5, Not Graduate, No,1900000,7500000,20,715,5100000,2800000,6500000,2800000, Approved
+215,2, Not Graduate, Yes,6700000,15200000,10,689,0,8200000,15000000,6800000, Approved
+216,3, Graduate, Yes,6900000,16400000,4,787,11100000,6100000,26400000,3800000, Approved
+217,2, Graduate, No,2600000,7800000,4,819,3100000,4300000,5700000,1500000, Approved
+218,4, Graduate, Yes,9600000,21100000,6,809,16100000,9500000,34700000,8700000, Approved
+219,1, Not Graduate, Yes,6800000,17000000,2,744,15500000,3900000,23700000,3500000, Approved
+220,0, Not Graduate, No,3200000,11300000,6,484,3500000,5500000,8500000,2100000, Rejected
+221,4, Not Graduate, No,2900000,10400000,6,673,5100000,1700000,10600000,1700000, Approved
+222,3, Graduate, Yes,7900000,21200000,18,695,13800000,10600000,21800000,4900000, Approved
+223,4, Not Graduate, Yes,3900000,12400000,12,473,6400000,4700000,13100000,3800000, Rejected
+224,4, Graduate, Yes,4600000,11000000,2,491,9000000,4000000,16100000,3500000, Rejected
+225,3, Not Graduate, Yes,700000,1700000,8,733,1200000,800000,2400000,500000, Approved
+226,0, Not Graduate, No,5200000,15600000,20,434,14100000,5800000,18100000,5500000, Rejected
+227,3, Not Graduate, Yes,5900000,20600000,10,777,1900000,4600000,21200000,6400000, Approved
+228,4, Graduate, No,7200000,19100000,4,774,9400000,7000000,17900000,3600000, Approved
+229,1, Not Graduate, Yes,8700000,27000000,10,717,25500000,8600000,17500000,9100000, Approved
+230,3, Not Graduate, Yes,1100000,3500000,12,503,3000000,400000,2200000,1200000, Rejected
+231,1, Graduate, Yes,4000000,10900000,14,598,3600000,6600000,13600000,4400000, Approved
+232,2, Graduate, No,9800000,32400000,2,543,24200000,17500000,25700000,7700000, Approved
+233,0, Not Graduate, Yes,2700000,6800000,20,796,700000,4200000,7000000,1900000, Approved
+234,3, Not Graduate, Yes,8800000,34600000,8,386,14800000,16500000,18400000,6000000, Rejected
+235,5, Not Graduate, Yes,3300000,7800000,16,632,8500000,500000,7100000,4900000, Approved
+236,1, Graduate, Yes,6900000,23400000,4,481,18700000,1100000,23400000,10200000, Approved
+237,3, Graduate, Yes,900000,3500000,4,770,700000,0,2000000,600000, Rejected
+238,3, Graduate, Yes,4100000,15500000,6,667,2800000,1600000,14700000,4000000, Approved
+239,3, Not Graduate, Yes,4700000,17500000,8,585,1200000,3100000,9600000,4900000, Approved
+240,5, Graduate, Yes,3400000,11600000,16,479,9200000,5700000,11200000,2400000, Rejected
+241,2, Graduate, No,9600000,22500000,18,851,7400000,16200000,24300000,12700000, Approved
+242,3, Not Graduate, Yes,7000000,16200000,6,378,20000000,12600000,20300000,5500000, Rejected
+243,5, Graduate, No,5700000,12900000,18,807,4100000,900000,18600000,5500000, Approved
+244,1, Not Graduate, Yes,8200000,32400000,18,831,22800000,12300000,17700000,7800000, Approved
+245,2, Not Graduate, No,2100000,5100000,12,674,2200000,3200000,6400000,2400000, Approved
+246,1, Not Graduate, Yes,8000000,28100000,18,725,1900000,12800000,23000000,7500000, Approved
+247,2, Not Graduate, No,8000000,29300000,4,600,16500000,13200000,29400000,6500000, Approved
+248,0, Not Graduate, Yes,9400000,27000000,10,536,4400000,1700000,33800000,4800000, Rejected
+249,0, Graduate, No,8400000,20600000,10,477,1500000,1500000,25000000,11900000, Rejected
+250,1, Not Graduate, Yes,1900000,5000000,6,560,1000000,1900000,6300000,1400000, Approved
+251,0, Not Graduate, Yes,4200000,16400000,20,539,9500000,2100000,11400000,3100000, Rejected
+252,5, Graduate, No,2600000,9100000,8,852,3700000,700000,10300000,3300000, Approved
+253,3, Not Graduate, No,3700000,8500000,20,853,8300000,5700000,7500000,4900000, Approved
+254,0, Graduate, No,8800000,30900000,12,729,1700000,700000,25700000,11400000, Approved
+255,2, Not Graduate, No,2100000,4700000,2,546,6000000,3200000,5700000,1500000, Rejected
+256,3, Graduate, Yes,900000,2400000,10,489,800000,0,2800000,500000, Rejected
+257,3, Graduate, Yes,9800000,35400000,6,869,14400000,16400000,22800000,10300000, Approved
+258,2, Not Graduate, No,8000000,20000000,2,502,4100000,2200000,31600000,9900000, Rejected
+259,0, Graduate, No,9800000,38800000,8,652,23200000,19000000,29700000,5400000, Approved
+260,0, Not Graduate, Yes,300000,1100000,8,789,400000,100000,800000,400000, Approved
+261,4, Not Graduate, No,2700000,8100000,4,325,5000000,800000,9900000,3400000, Approved
+262,3, Graduate, Yes,7400000,19600000,2,716,4100000,8900000,29100000,4200000, Approved
+263,3, Graduate, No,9200000,34300000,18,523,25600000,4000000,29100000,8800000, Rejected
+264,5, Not Graduate, No,9500000,22200000,20,352,24500000,0,30800000,7000000, Rejected
+265,5, Graduate, Yes,3800000,14400000,2,345,3300000,800000,13000000,4700000, Approved
+266,0, Graduate, No,8300000,19400000,18,649,2500000,16100000,24300000,11300000, Approved
+267,2, Graduate, Yes,2800000,7400000,18,666,100000,2300000,6300000,3400000, Approved
+268,0, Graduate, No,8600000,20900000,10,813,11300000,11900000,26000000,4800000, Approved
+269,0, Not Graduate, No,5400000,16800000,10,599,5300000,7400000,14500000,7600000, Approved
+270,5, Graduate, Yes,4200000,9400000,6,678,4700000,5500000,9900000,5700000, Approved
+271,5, Not Graduate, No,5200000,12200000,20,513,13400000,2000000,16800000,5400000, Rejected
+272,5, Graduate, No,9400000,27900000,4,870,1100000,200000,29500000,10400000, Approved
+273,3, Graduate, No,8800000,20400000,8,483,3200000,11400000,28200000,11800000, Rejected
+274,1, Graduate, Yes,5900000,16700000,16,308,5800000,8800000,19100000,5300000, Rejected
+275,3, Graduate, Yes,1700000,4900000,16,591,4700000,1000000,4300000,1400000, Approved
+276,1, Not Graduate, No,7000000,23000000,10,886,14000000,3700000,26700000,3600000, Approved
+277,4, Not Graduate, No,1700000,4000000,6,829,0,1600000,5200000,1700000, Approved
+278,0, Not Graduate, No,1500000,4900000,12,651,1600000,2800000,4600000,800000, Approved
+279,4, Not Graduate, No,2000000,4700000,18,733,3700000,3700000,7000000,2800000, Approved
+280,5, Graduate, Yes,3900000,15500000,12,433,9500000,5400000,7900000,4600000, Rejected
+281,1, Graduate, Yes,900000,3600000,14,713,1300000,1000000,1800000,1200000, Approved
+282,1, Graduate, No,6900000,22500000,18,403,800000,8400000,16900000,6300000, Rejected
+283,0, Graduate, Yes,2800000,7800000,10,405,7800000,2500000,7100000,3400000, Rejected
+284,3, Graduate, Yes,6800000,19900000,10,516,16000000,6000000,26000000,8500000, Rejected
+285,4, Not Graduate, Yes,600000,1800000,8,417,1700000,700000,1800000,800000, Rejected
+286,1, Not Graduate, No,4700000,14000000,6,468,11300000,1800000,10600000,4600000, Rejected
+287,5, Graduate, Yes,3000000,11800000,10,672,8700000,3600000,9800000,4100000, Approved
+288,5, Not Graduate, No,4000000,13900000,6,530,6000000,5600000,12500000,6000000, Rejected
+289,1, Not Graduate, Yes,3100000,11300000,14,824,3700000,6000000,11000000,4400000, Approved
+290,1, Not Graduate, Yes,7700000,25500000,12,549,18100000,10600000,20500000,7000000, Rejected
+291,5, Not Graduate, Yes,4300000,9300000,10,450,2100000,6700000,10000000,4100000, Rejected
+292,1, Graduate, Yes,5800000,19500000,20,431,13800000,5000000,15600000,3300000, Rejected
+293,3, Graduate, Yes,3600000,10700000,16,312,2300000,1600000,13100000,5200000, Rejected
+294,0, Not Graduate, Yes,2900000,7600000,8,320,8000000,5600000,9600000,3100000, Rejected
+295,0, Graduate, No,8800000,20200000,4,433,16000000,4200000,30500000,12400000, Rejected
+296,1, Not Graduate, Yes,300000,1000000,10,431,400000,500000,900000,100000, Rejected
+297,5, Not Graduate, Yes,8600000,28900000,8,516,9900000,1800000,30200000,6800000, Rejected
+298,2, Not Graduate, Yes,3500000,12000000,14,476,1100000,6800000,12400000,2900000, Rejected
+299,5, Graduate, No,800000,2600000,6,560,100000,200000,3000000,1000000, Approved
+300,2, Graduate, No,8000000,27100000,12,674,14400000,400000,25300000,6400000, Approved
+301,0, Not Graduate, Yes,9900000,38200000,6,573,17200000,10000000,20100000,5900000, Approved
+302,2, Not Graduate, No,3300000,6600000,6,331,6300000,2000000,8900000,2700000, Rejected
+303,4, Graduate, Yes,2000000,6700000,12,633,100000,800000,4800000,2000000, Approved
+304,3, Not Graduate, No,4900000,12900000,18,877,1800000,7000000,17900000,3300000, Approved
+305,5, Not Graduate, Yes,9200000,23600000,12,656,1400000,11200000,36400000,4900000, Approved
+306,0, Not Graduate, No,7500000,18200000,6,782,7400000,12000000,19800000,4100000, Approved
+307,5, Not Graduate, No,9000000,29300000,4,531,10400000,9500000,35500000,5800000, Approved
+308,3, Not Graduate, No,1400000,4100000,8,455,3000000,1400000,2900000,2100000, Rejected
+309,3, Graduate, No,9600000,19900000,14,452,4200000,16200000,28500000,6600000, Rejected
+310,2, Graduate, No,8400000,33200000,14,474,19600000,15000000,25400000,11500000, Rejected
+311,3, Not Graduate, No,6400000,24400000,4,483,7800000,2400000,19100000,4500000, Approved
+312,4, Graduate, No,5900000,16800000,8,481,6900000,11400000,19500000,3300000, Rejected
+313,2, Graduate, Yes,2200000,5100000,20,859,3800000,1200000,6400000,3100000, Approved
+314,4, Graduate, Yes,5600000,14100000,14,696,9000000,9200000,16500000,6800000, Approved
+315,4, Not Graduate, No,9800000,28700000,6,778,16600000,7400000,29700000,11100000, Approved
+316,4, Graduate, No,4400000,14600000,4,499,1300000,6500000,16100000,5700000, Approved
+317,2, Not Graduate, Yes,2400000,4900000,4,888,6400000,4300000,5100000,3400000, Approved
+318,1, Graduate, No,4400000,10800000,12,674,9600000,2700000,17200000,5300000, Approved
+319,4, Graduate, No,3700000,13200000,4,802,9800000,2400000,12500000,4300000, Approved
+320,4, Not Graduate, Yes,2300000,7800000,8,540,1500000,3400000,4700000,2800000, Rejected
+321,4, Graduate, Yes,5900000,19600000,8,726,17400000,6800000,20100000,8000000, Approved
+322,4, Not Graduate, Yes,6400000,23500000,2,485,7300000,2700000,23600000,3900000, Approved
+323,4, Graduate, Yes,4900000,17100000,6,612,1300000,7000000,19500000,5000000, Approved
+324,3, Not Graduate, Yes,9500000,24200000,8,879,3100000,17200000,26400000,12700000, Approved
+325,2, Not Graduate, No,5700000,16400000,12,708,3700000,800000,15000000,4400000, Approved
+326,2, Not Graduate, Yes,2700000,5700000,8,850,3500000,5000000,10500000,3900000, Approved
+327,2, Not Graduate, Yes,3900000,11300000,12,516,3100000,0,10400000,4600000, Rejected
+328,0, Not Graduate, No,7800000,28800000,12,465,4700000,7500000,28800000,7400000, Rejected
+329,0, Graduate, No,1100000,3200000,20,716,1800000,1400000,3600000,1500000, Approved
+330,4, Not Graduate, No,200000,600000,10,404,0,100000,400000,0, Rejected
+331,0, Not Graduate, Yes,4700000,10600000,20,512,8400000,4000000,12300000,7000000, Rejected
+332,3, Not Graduate, Yes,8200000,20600000,10,441,16100000,11400000,29100000,6100000, Rejected
+333,2, Not Graduate, Yes,4600000,18400000,2,555,7700000,2400000,14200000,4200000, Approved
+334,5, Not Graduate, No,1800000,7000000,18,466,2600000,2100000,6000000,1900000, Rejected
+335,3, Graduate, Yes,3200000,8600000,2,427,3900000,1800000,7100000,4700000, Rejected
+336,4, Not Graduate, Yes,5500000,20000000,14,593,15100000,2700000,19900000,4900000, Approved
+337,3, Graduate, No,7900000,18300000,10,731,4200000,3400000,22200000,8400000, Approved
+338,1, Graduate, Yes,4000000,10100000,16,451,7000000,3900000,14300000,3900000, Rejected
+339,3, Not Graduate, Yes,6800000,16900000,18,628,3600000,900000,15600000,4900000, Approved
+340,1, Not Graduate, No,2700000,9400000,18,704,5300000,2300000,6400000,2400000, Approved
+341,2, Not Graduate, No,6800000,23500000,12,341,19300000,11800000,14300000,8500000, Rejected
+342,5, Graduate, No,8600000,21000000,8,465,11700000,14900000,19500000,9900000, Rejected
+343,4, Graduate, No,8000000,30100000,4,431,11900000,13800000,18800000,11500000, Approved
+344,1, Graduate, Yes,3700000,12600000,10,424,5400000,1100000,14200000,4400000, Rejected
+345,0, Graduate, No,2600000,5100000,14,678,500000,1200000,6000000,3100000, Approved
+346,4, Graduate, No,4200000,16800000,6,381,9600000,3800000,14800000,5900000, Rejected
+347,5, Graduate, Yes,8000000,28000000,10,449,18500000,1500000,17400000,3900000, Rejected
+348,1, Not Graduate, No,7100000,23500000,12,768,6400000,12100000,22400000,7300000, Approved
+349,0, Not Graduate, No,2000000,7000000,6,666,0,1200000,4300000,1400000, Rejected
+350,4, Not Graduate, Yes,5800000,13300000,14,742,16100000,9300000,16300000,7000000, Approved
+351,3, Not Graduate, Yes,6700000,15800000,4,445,10500000,7600000,14100000,9100000, Rejected
+352,2, Graduate, No,7300000,28700000,14,634,5900000,3800000,21200000,10800000, Approved
+353,4, Not Graduate, No,3300000,9700000,14,782,2500000,0,10400000,2200000, Approved
+354,0, Graduate, No,3000000,7000000,10,781,7200000,600000,11700000,2700000, Approved
+355,4, Not Graduate, No,7900000,17200000,14,318,14200000,9500000,23200000,9000000, Rejected
+356,5, Not Graduate, No,7600000,24100000,18,721,21900000,11500000,22900000,7200000, Approved
+357,5, Not Graduate, No,3700000,9800000,4,563,9500000,5100000,11200000,3000000, Approved
+358,2, Not Graduate, No,8400000,26300000,4,419,22900000,7900000,29200000,6200000, Approved
+359,0, Graduate, Yes,8200000,20800000,14,372,3800000,100000,26100000,5200000, Rejected
+360,0, Not Graduate, No,2900000,9500000,18,885,4300000,2300000,6500000,3500000, Approved
+361,1, Not Graduate, Yes,9900000,38400000,12,596,10000000,9300000,36500000,6800000, Approved
+362,0, Graduate, No,4400000,14100000,2,349,3300000,1300000,8800000,6200000, Approved
+363,1, Not Graduate, Yes,9000000,32200000,16,468,4500000,16400000,28600000,10900000, Rejected
+364,3, Not Graduate, Yes,6800000,26900000,16,818,14700000,10400000,26300000,7300000, Approved
+365,2, Not Graduate, No,8700000,28000000,12,543,16900000,6000000,22900000,6700000, Rejected
+366,3, Graduate, No,9400000,21900000,16,685,8100000,5600000,34500000,5000000, Approved
+367,3, Not Graduate, Yes,6000000,12500000,18,851,14600000,5000000,16800000,5000000, Approved
+368,1, Not Graduate, Yes,9400000,29800000,10,377,24100000,18500000,30900000,11700000, Rejected
+369,0, Not Graduate, Yes,1000000,4000000,10,620,2400000,1300000,3700000,1100000, Approved
+370,3, Graduate, Yes,900000,2300000,20,611,600000,1500000,1900000,500000, Approved
+371,4, Not Graduate, No,2100000,7700000,4,767,1200000,1700000,6900000,1300000, Approved
+372,5, Graduate, Yes,1100000,3200000,20,592,3200000,700000,3500000,500000, Approved
+373,0, Graduate, Yes,600000,2300000,4,319,1600000,800000,2300000,700000, Approved
+374,4, Not Graduate, Yes,9200000,25500000,10,900,9400000,10500000,27400000,12800000, Approved
+375,2, Not Graduate, Yes,3600000,12800000,18,814,8600000,4100000,10300000,4100000, Approved
+376,5, Not Graduate, Yes,1300000,5000000,10,755,2100000,2200000,4800000,1900000, Approved
+377,5, Graduate, Yes,7700000,16800000,20,584,8600000,4800000,23400000,8000000, Approved
+378,4, Graduate, Yes,9500000,23500000,14,380,22900000,6700000,25100000,7300000, Rejected
+379,2, Not Graduate, Yes,5000000,17600000,20,465,6200000,5200000,16500000,5200000, Rejected
+380,0, Not Graduate, No,500000,1800000,2,531,1300000,500000,1900000,700000, Approved
+381,1, Graduate, Yes,8300000,32100000,16,814,18500000,2700000,28900000,7500000, Approved
+382,0, Graduate, No,5300000,17900000,6,678,4700000,3900000,14400000,3600000, Approved
+383,2, Not Graduate, Yes,9300000,29000000,12,655,7900000,6800000,29900000,4900000, Approved
+384,3, Not Graduate, No,2300000,7400000,2,682,6500000,2400000,7600000,2100000, Approved
+385,1, Not Graduate, No,400000,1300000,6,695,200000,500000,800000,100000, Approved
+386,3, Not Graduate, No,3200000,10800000,4,833,2600000,1000000,8700000,2600000, Approved
+387,5, Not Graduate, Yes,9400000,35300000,16,302,4100000,12500000,37000000,12900000, Rejected
+388,1, Graduate, No,2300000,6600000,2,357,5900000,200000,6000000,2200000, Rejected
+389,5, Not Graduate, No,4300000,14500000,12,302,12500000,4300000,12500000,5100000, Rejected
+390,0, Graduate, Yes,6200000,22400000,18,873,15700000,6600000,15800000,8200000, Approved
+391,0, Not Graduate, Yes,7200000,19800000,12,658,12700000,8100000,25000000,7300000, Approved
+392,5, Graduate, Yes,2400000,8700000,18,877,2800000,2900000,7100000,1100000, Approved
+393,3, Not Graduate, No,2900000,6300000,8,648,3400000,3400000,7600000,1400000, Approved
+394,1, Graduate, No,1400000,5200000,12,730,2900000,0,3700000,700000, Approved
+395,4, Not Graduate, Yes,2200000,8200000,14,737,5800000,2800000,8200000,1400000, Approved
+396,2, Graduate, Yes,800000,3200000,10,584,0,200000,2100000,700000, Rejected
+397,0, Graduate, No,600000,1700000,2,621,400000,400000,2000000,200000, Approved
+398,4, Graduate, Yes,700000,2700000,16,583,1100000,1200000,1400000,300000, Approved
+399,2, Not Graduate, No,8400000,25900000,16,621,8600000,13400000,33500000,4200000, Approved
+400,2, Not Graduate, No,7100000,21500000,16,610,5800000,12100000,14200000,9300000, Approved
+401,4, Graduate, No,5400000,15700000,18,452,13700000,2600000,16500000,6600000, Rejected
+402,5, Graduate, No,3700000,7300000,18,339,9300000,100000,13900000,5300000, Rejected
+403,3, Graduate, Yes,5200000,15200000,16,650,1300000,5700000,13500000,4100000, Approved
+404,4, Not Graduate, Yes,200000,700000,10,672,200000,200000,300000,300000, Approved
+405,3, Graduate, No,500000,1000000,20,501,800000,800000,900000,200000, Rejected
+406,2, Not Graduate, Yes,1800000,5700000,4,809,1200000,1900000,6300000,2400000, Approved
+407,5, Graduate, Yes,9200000,29400000,8,318,18000000,5900000,33800000,5400000, Rejected
+408,4, Not Graduate, No,900000,3300000,10,649,0,400000,1800000,1200000, Approved
+409,3, Not Graduate, No,7500000,28300000,12,367,9200000,11300000,22700000,7000000, Rejected
+410,5, Not Graduate, No,3000000,11800000,6,847,8200000,2200000,7100000,2300000, Approved
+411,5, Graduate, No,7100000,18900000,12,360,10700000,1100000,19800000,8500000, Rejected
+412,1, Graduate, Yes,3500000,7200000,2,865,4100000,3200000,11900000,4200000, Approved
+413,4, Not Graduate, No,4900000,18800000,16,880,4200000,4700000,13200000,2600000, Approved
+414,1, Graduate, No,4100000,8400000,20,608,1400000,8000000,10000000,4400000, Approved
+415,0, Graduate, Yes,800000,2100000,6,760,300000,100000,1600000,600000, Approved
+416,3, Graduate, Yes,1700000,4600000,12,385,1500000,1300000,5200000,1700000, Rejected
+417,0, Graduate, Yes,6100000,23300000,12,478,3800000,2300000,17700000,4900000, Rejected
+418,1, Graduate, Yes,2100000,7700000,16,327,5000000,500000,4700000,2300000, Rejected
+419,0, Graduate, No,3100000,9300000,6,663,1300000,1400000,8100000,3800000, Approved
+420,2, Not Graduate, Yes,1700000,3500000,20,693,2200000,1400000,4800000,1700000, Approved
+421,3, Graduate, No,1700000,5400000,6,710,4800000,700000,5800000,1700000, Approved
+422,4, Not Graduate, Yes,4000000,14500000,6,711,2400000,5700000,10900000,4100000, Approved
+423,5, Graduate, No,5600000,18400000,8,386,11300000,6700000,11300000,5600000, Rejected
+424,4, Graduate, Yes,3900000,11900000,10,855,10200000,4000000,10200000,2800000, Approved
+425,4, Graduate, Yes,6100000,15300000,14,573,1100000,9900000,13300000,8400000, Approved
+426,0, Graduate, Yes,1100000,2800000,18,431,500000,300000,4300000,1400000, Rejected
+427,2, Graduate, No,5500000,14800000,8,364,13000000,4500000,12600000,4500000, Rejected
+428,4, Graduate, Yes,1100000,3600000,14,711,2500000,500000,3600000,600000, Approved
+429,4, Not Graduate, Yes,400000,900000,20,771,1000000,500000,1600000,500000, Approved
+430,3, Graduate, No,9200000,36400000,18,669,3100000,12700000,30900000,12300000, Approved
+431,4, Not Graduate, Yes,9300000,27500000,18,338,21500000,500000,34900000,6600000, Rejected
+432,1, Graduate, No,1100000,3500000,8,562,2300000,1200000,3200000,500000, Approved
+433,3, Not Graduate, No,5600000,18700000,2,769,8000000,8200000,17300000,4800000, Approved
+434,0, Graduate, Yes,6300000,21500000,8,629,600000,3400000,22000000,5200000, Approved
+435,3, Graduate, No,8800000,18100000,6,699,6400000,2100000,18500000,9400000, Approved
+436,0, Not Graduate, No,8400000,20800000,20,590,5100000,8900000,32100000,10800000, Approved
+437,3, Graduate, Yes,1600000,5700000,4,707,3300000,2700000,6200000,2300000, Approved
+438,3, Not Graduate, Yes,4500000,11400000,8,391,8500000,6800000,9900000,4500000, Rejected
+439,5, Not Graduate, No,6500000,18500000,4,891,13600000,3300000,23600000,7100000, Approved
+440,3, Graduate, Yes,9500000,20600000,2,731,13400000,3800000,20700000,9200000, Approved
+441,3, Not Graduate, No,4700000,16700000,12,775,4000000,1700000,17300000,3500000, Approved
+442,5, Graduate, Yes,9600000,32400000,2,897,3500000,15400000,26800000,6200000, Approved
+443,5, Graduate, No,8000000,26700000,20,794,8000000,14700000,29900000,7800000, Approved
+444,2, Graduate, No,7700000,16700000,6,555,12900000,2900000,18100000,8500000, Approved
+445,1, Not Graduate, Yes,3600000,10300000,12,536,6800000,500000,12200000,2700000, Rejected
+446,2, Not Graduate, No,700000,1700000,10,839,100000,700000,2000000,900000, Approved
+447,0, Graduate, Yes,1400000,5100000,6,890,4100000,1900000,5200000,1900000, Approved
+448,1, Graduate, Yes,8600000,27900000,20,415,12200000,14800000,27100000,7900000, Rejected
+449,4, Graduate, No,4700000,15700000,4,868,3300000,2500000,13800000,4800000, Approved
+450,3, Graduate, Yes,2900000,5800000,12,353,8400000,2600000,10100000,3100000, Rejected
+451,4, Not Graduate, No,9000000,29000000,16,590,4600000,15600000,29200000,12300000, Approved
+452,5, Graduate, Yes,500000,900000,18,618,1400000,600000,1200000,400000, Approved
+453,2, Not Graduate, Yes,700000,1700000,10,539,1400000,1000000,1900000,900000, Rejected
+454,0, Graduate, No,6800000,27000000,4,429,17100000,7600000,21400000,9400000, Approved
+455,2, Graduate, No,1800000,4700000,8,792,4500000,1200000,4100000,2200000, Approved
+456,0, Not Graduate, No,6000000,12400000,2,608,3000000,2100000,17900000,6800000, Approved
+457,4, Graduate, Yes,5400000,21500000,14,555,4300000,1500000,14300000,7500000, Approved
+458,5, Graduate, Yes,8400000,17500000,12,620,15300000,13600000,26000000,5800000, Approved
+459,0, Graduate, No,7400000,20900000,6,635,15600000,14000000,21000000,7200000, Approved
+460,2, Graduate, No,3200000,12500000,10,457,6100000,2000000,8200000,4300000, Rejected
+461,1, Graduate, Yes,5400000,21400000,8,350,2600000,1000000,19700000,6800000, Rejected
+462,5, Graduate, Yes,1000000,2500000,14,885,2200000,100000,2300000,1100000, Approved
+463,0, Graduate, No,4400000,14700000,16,638,4000000,2700000,14400000,2700000, Approved
+464,1, Graduate, Yes,3800000,10500000,12,710,1800000,6200000,12500000,2500000, Approved
+465,3, Not Graduate, Yes,6100000,20900000,18,470,500000,8500000,18000000,7500000, Rejected
+466,5, Not Graduate, Yes,5500000,17300000,16,874,1000000,2900000,13700000,7900000, Approved
+467,5, Not Graduate, Yes,500000,1800000,18,411,1000000,500000,1300000,200000, Rejected
+468,0, Not Graduate, Yes,300000,1100000,2,482,200000,100000,1100000,400000, Approved
+469,1, Graduate, Yes,6200000,16900000,2,396,10600000,7500000,23700000,7600000, Rejected
+470,0, Not Graduate, No,300000,900000,20,436,0,400000,600000,200000, Rejected
+471,0, Not Graduate, Yes,6900000,22100000,20,303,13600000,4600000,22000000,6900000, Rejected
+472,4, Graduate, No,3700000,11400000,12,728,4200000,5800000,7300000,2300000, Approved
+473,3, Not Graduate, Yes,8800000,28600000,10,775,5200000,5000000,32000000,9600000, Approved
+474,5, Graduate, Yes,8200000,23500000,12,402,15100000,1500000,24300000,5800000, Rejected
+475,1, Not Graduate, Yes,9200000,31500000,18,698,5300000,6100000,20400000,8300000, Approved
+476,0, Not Graduate, No,2400000,7800000,14,665,5200000,2900000,6200000,2900000, Approved
+477,4, Not Graduate, No,4100000,13500000,18,490,4700000,6200000,13900000,2000000, Rejected
+478,1, Graduate, No,8000000,31900000,12,504,23800000,1500000,22100000,6000000, Rejected
+479,3, Not Graduate, Yes,3600000,8600000,8,790,5400000,5900000,9800000,5200000, Approved
+480,1, Not Graduate, Yes,700000,2700000,20,669,100000,1000000,2600000,500000, Approved
+481,4, Not Graduate, No,8300000,30700000,6,381,21700000,2300000,26700000,4600000, Rejected
+482,0, Graduate, Yes,5300000,15000000,2,900,1700000,2100000,21000000,5800000, Approved
+483,4, Graduate, No,8300000,24900000,16,506,15400000,5600000,26700000,7000000, Rejected
+484,3, Not Graduate, Yes,2500000,8800000,12,538,4900000,1800000,9100000,3300000, Rejected
+485,3, Graduate, Yes,5400000,14400000,8,677,11000000,7900000,20800000,3100000, Approved
+486,4, Graduate, No,1600000,4900000,8,685,3200000,2000000,3800000,1500000, Approved
+487,2, Not Graduate, No,2400000,6200000,12,860,4900000,3700000,9500000,1100000, Approved
+488,5, Not Graduate, No,6300000,14800000,6,608,16100000,10500000,21800000,5400000, Approved
+489,4, Graduate, Yes,2500000,5300000,10,540,2300000,2800000,7100000,1700000, Rejected
+490,0, Graduate, Yes,7500000,16800000,16,492,21500000,4800000,25400000,11100000, Rejected
+491,3, Not Graduate, No,2900000,8500000,14,834,1200000,4500000,8800000,1800000, Approved
+492,3, Graduate, Yes,1000000,3500000,16,834,800000,1700000,3000000,700000, Approved
+493,2, Graduate, Yes,8600000,28800000,8,890,23300000,5900000,21200000,7200000, Approved
+494,1, Not Graduate, No,300000,1100000,12,443,600000,400000,1200000,200000, Rejected
+495,5, Not Graduate, No,2300000,5700000,18,329,5600000,3300000,4900000,2700000, Rejected
+496,2, Not Graduate, Yes,2400000,5400000,12,739,300000,2500000,5000000,3000000, Approved
+497,5, Graduate, Yes,9800000,30300000,6,867,20800000,16000000,30200000,7600000, Approved
+498,2, Not Graduate, No,8100000,24800000,6,307,200000,4000000,31100000,10500000, Rejected
+499,3, Graduate, No,6700000,15500000,18,492,2100000,2000000,26300000,9400000, Rejected
+500,1, Not Graduate, Yes,8400000,24700000,18,698,23000000,13200000,32700000,12200000, Approved
+501,2, Graduate, No,200000,700000,8,851,400000,200000,800000,200000, Approved
+502,2, Graduate, No,4700000,12500000,14,375,1300000,6300000,10100000,5400000, Rejected
+503,0, Graduate, Yes,4300000,14300000,14,601,3800000,900000,16700000,5700000, Approved
+504,4, Not Graduate, No,2200000,7000000,20,756,3600000,3900000,5700000,1200000, Approved
+505,4, Graduate, Yes,8600000,19200000,4,868,20400000,1500000,32800000,9300000, Approved
+506,4, Graduate, Yes,2000000,7200000,10,838,2500000,300000,7600000,1000000, Approved
+507,4, Not Graduate, Yes,4200000,15900000,14,375,7200000,7900000,16200000,3000000, Rejected
+508,0, Not Graduate, Yes,5100000,12500000,18,778,3300000,1000000,14800000,3200000, Approved
+509,2, Graduate, Yes,4100000,11200000,6,442,12200000,4100000,10000000,4500000, Rejected
+510,1, Graduate, Yes,9900000,39500000,12,808,11800000,3700000,30200000,13500000, Approved
+511,1, Not Graduate, Yes,3200000,9000000,20,372,2700000,2800000,7200000,3800000, Rejected
+512,2, Graduate, No,5500000,19000000,4,597,1100000,4000000,18700000,5300000, Approved
+513,0, Graduate, Yes,7800000,29100000,20,435,21100000,13000000,17300000,9700000, Rejected
+514,3, Graduate, Yes,3400000,9700000,20,728,1500000,1500000,7300000,2400000, Approved
+515,4, Graduate, Yes,7900000,25900000,14,373,10900000,14300000,27700000,7600000, Rejected
+516,3, Graduate, Yes,8900000,18500000,10,367,6100000,0,32000000,10300000, Rejected
+517,2, Graduate, No,7300000,19100000,14,552,2000000,13400000,16800000,4000000, Approved
+518,4, Not Graduate, Yes,3300000,10600000,8,465,500000,4400000,7300000,2800000, Rejected
+519,4, Graduate, Yes,2900000,10500000,8,607,4400000,5500000,7600000,3800000, Approved
+520,2, Graduate, Yes,500000,1300000,4,427,1400000,500000,1800000,600000, Rejected
+521,3, Not Graduate, No,7200000,21200000,4,711,10800000,4200000,24900000,5700000, Approved
+522,3, Not Graduate, No,8300000,24100000,14,823,5900000,700000,24000000,7700000, Approved
+523,1, Not Graduate, Yes,8700000,20500000,6,523,19300000,6500000,23700000,4800000, Rejected
+524,4, Not Graduate, Yes,7100000,27900000,10,328,9000000,13400000,26500000,7700000, Rejected
+525,3, Graduate, Yes,9800000,28200000,12,721,15800000,6500000,21900000,9600000, Approved
+526,0, Graduate, Yes,6900000,17000000,20,599,18100000,9400000,26600000,4300000, Approved
+527,0, Not Graduate, No,2400000,5000000,14,580,5900000,4400000,5500000,3200000, Approved
+528,1, Not Graduate, Yes,2100000,4900000,10,744,200000,2000000,5400000,1000000, Approved
+529,2, Graduate, Yes,7200000,23900000,4,559,4200000,12200000,17800000,10800000, Approved
+530,2, Graduate, No,4600000,13500000,16,587,7700000,5900000,10600000,5000000, Approved
+531,5, Graduate, Yes,9900000,31800000,18,817,23400000,700000,32600000,11500000, Approved
+532,4, Not Graduate, Yes,300000,1000000,20,655,0,100000,1100000,400000, Approved
+533,5, Graduate, Yes,6900000,23900000,6,382,17100000,6900000,21500000,8900000, Rejected
+534,2, Graduate, Yes,1700000,4300000,6,765,5000000,1500000,3400000,900000, Approved
+535,2, Graduate, Yes,4400000,10000000,20,516,7400000,7600000,12200000,5100000, Rejected
+536,4, Not Graduate, Yes,4300000,15000000,8,383,4700000,100000,9000000,4900000, Rejected
+537,2, Not Graduate, No,3700000,14100000,6,633,800000,200000,11300000,3400000, Approved
+538,1, Graduate, No,5900000,15200000,2,547,17100000,2000000,14700000,3600000, Rejected
+539,5, Not Graduate, Yes,8600000,26300000,10,843,23300000,9800000,18100000,11300000, Approved
+540,3, Not Graduate, Yes,3400000,13200000,8,783,6500000,300000,13000000,4900000, Approved
+541,3, Not Graduate, Yes,1000000,3200000,14,790,1900000,100000,3600000,1100000, Approved
+542,1, Not Graduate, Yes,4400000,14200000,16,409,12700000,1300000,12600000,4500000, Rejected
+543,0, Not Graduate, No,3600000,7800000,14,376,9800000,6900000,11900000,3000000, Rejected
+544,3, Not Graduate, No,1400000,2700000,8,625,3100000,1800000,3400000,1000000, Approved
+545,0, Not Graduate, No,5300000,10900000,18,707,12900000,2600000,12700000,7600000, Approved
+546,3, Graduate, Yes,9400000,20500000,6,645,17400000,13000000,24500000,10200000, Approved
+547,4, Not Graduate, Yes,6600000,22100000,6,887,3600000,3500000,19800000,4700000, Approved
+548,5, Graduate, No,9800000,37600000,18,319,19200000,5100000,19900000,5100000, Rejected
+549,1, Not Graduate, No,1900000,4900000,20,647,4100000,2100000,6800000,1700000, Approved
+550,2, Not Graduate, Yes,5800000,22500000,6,888,11900000,2600000,17100000,4800000, Approved
+551,2, Not Graduate, No,3100000,10400000,10,420,6900000,5900000,10000000,3500000, Rejected
+552,0, Graduate, No,6800000,18400000,2,791,4000000,900000,20200000,9900000, Approved
+553,5, Not Graduate, No,4600000,16200000,12,891,5900000,1200000,10800000,3700000, Approved
+554,2, Not Graduate, Yes,200000,700000,16,641,600000,200000,600000,100000, Approved
+555,3, Not Graduate, Yes,9500000,22800000,6,319,200000,18800000,34100000,9400000, Rejected
+556,5, Not Graduate, Yes,6200000,22200000,20,819,13500000,6600000,21700000,8700000, Approved
+557,4, Not Graduate, Yes,9700000,32300000,18,387,11600000,14300000,20000000,5400000, Rejected
+558,5, Graduate, Yes,4200000,12300000,2,686,10500000,200000,15600000,4200000, Approved
+559,1, Graduate, Yes,5700000,12000000,4,415,15700000,900000,17300000,7400000, Rejected
+560,2, Graduate, Yes,200000,500000,6,885,-100000,0,300000,200000, Rejected
+561,4, Graduate, No,8000000,25500000,4,722,17200000,13900000,26200000,4900000, Approved
+562,4, Graduate, No,5200000,20400000,20,761,4700000,1600000,14300000,6200000, Approved
+563,1, Graduate, Yes,7100000,15200000,8,389,5900000,900000,24300000,5900000, Rejected
+564,1, Graduate, Yes,9300000,27900000,12,600,2100000,4200000,29000000,6600000, Approved
+565,5, Graduate, No,2000000,6100000,2,407,1900000,1900000,4600000,2000000, Approved
+566,3, Graduate, Yes,3900000,14000000,18,829,5200000,4000000,11600000,2700000, Approved
+567,2, Not Graduate, No,2800000,5900000,6,895,1000000,3900000,10900000,1500000, Approved
+568,5, Graduate, Yes,3000000,11100000,12,441,8500000,2500000,7300000,2000000, Rejected
+569,4, Not Graduate, No,4500000,9800000,16,895,9800000,8200000,13900000,5500000, Approved
+570,4, Graduate, No,1900000,4300000,4,826,2400000,0,7000000,900000, Approved
+571,1, Graduate, No,2300000,7200000,8,453,3000000,2100000,8100000,3400000, Rejected
+572,0, Graduate, No,4700000,17500000,2,701,5400000,2300000,11700000,7000000, Approved
+573,2, Not Graduate, Yes,1300000,2700000,8,627,100000,300000,2600000,1300000, Approved
+574,3, Graduate, No,3100000,11000000,2,543,5900000,2200000,9000000,2400000, Approved
+575,0, Graduate, No,8400000,17500000,18,411,13200000,5300000,31300000,10400000, Rejected
+576,5, Graduate, Yes,1700000,5800000,4,583,2000000,1800000,6000000,2300000, Approved
+577,2, Not Graduate, No,1900000,7500000,2,889,600000,1100000,7100000,2600000, Approved
+578,3, Not Graduate, No,2400000,8600000,8,684,3400000,2400000,6200000,1600000, Approved
+579,5, Graduate, No,6800000,20500000,10,578,500000,11800000,27200000,3400000, Approved
+580,1, Graduate, No,2900000,10900000,20,445,6600000,2800000,9300000,2600000, Rejected
+581,4, Graduate, Yes,8900000,26300000,10,369,23900000,7000000,27400000,12100000, Rejected
+582,1, Not Graduate, No,8800000,22200000,18,794,8400000,11900000,21000000,10500000, Approved
+583,0, Graduate, Yes,8200000,19200000,16,492,16500000,9200000,20000000,7200000, Rejected
+584,3, Not Graduate, Yes,3600000,13200000,16,557,9800000,4000000,9900000,2100000, Approved
+585,4, Graduate, Yes,9500000,31800000,6,519,5900000,1300000,28400000,12200000, Rejected
+586,0, Not Graduate, Yes,1900000,5700000,18,699,5500000,200000,6500000,2000000, Approved
+587,3, Not Graduate, Yes,9100000,24600000,2,741,8000000,4000000,35500000,13600000, Approved
+588,5, Graduate, No,1100000,3800000,18,508,200000,1800000,2300000,900000, Rejected
+589,5, Not Graduate, Yes,1100000,2800000,10,647,2700000,2000000,4300000,1400000, Approved
+590,1, Graduate, No,9300000,28600000,14,656,17300000,9100000,27400000,12500000, Approved
+591,4, Graduate, Yes,3900000,10600000,2,439,300000,7600000,14800000,2500000, Rejected
+592,5, Not Graduate, Yes,1500000,4000000,12,350,2900000,1900000,4400000,1200000, Rejected
+593,5, Graduate, No,800000,2200000,6,493,900000,500000,2800000,1000000, Rejected
+594,4, Graduate, No,600000,1800000,6,851,100000,1100000,2100000,800000, Approved
+595,2, Graduate, No,4400000,12500000,18,492,7900000,1200000,10100000,2700000, Rejected
+596,4, Graduate, Yes,2700000,5400000,6,861,6300000,2400000,6700000,2700000, Approved
+597,3, Not Graduate, Yes,6200000,14600000,2,664,18300000,8400000,16800000,6600000, Approved
+598,5, Graduate, Yes,700000,1300000,16,362,2100000,1300000,2000000,1000000, Rejected
+599,0, Graduate, No,3400000,9400000,6,703,600000,6000000,8600000,2600000, Approved
+600,1, Not Graduate, Yes,4900000,16800000,12,758,1700000,2700000,11100000,5900000, Approved
+601,3, Not Graduate, Yes,4200000,9700000,2,396,700000,8200000,8600000,4300000, Rejected
+602,0, Graduate, Yes,5300000,10600000,2,828,8100000,6700000,17400000,5800000, Approved
+603,5, Graduate, Yes,3700000,10000000,20,709,8000000,800000,12000000,2200000, Approved
+604,4, Not Graduate, Yes,5600000,17500000,10,528,14200000,2300000,12100000,7200000, Rejected
+605,2, Graduate, Yes,4300000,16000000,14,623,9800000,6700000,17000000,4500000, Approved
+606,4, Not Graduate, Yes,7100000,24500000,14,599,9100000,7000000,20400000,6800000, Approved
+607,4, Graduate, Yes,5400000,12700000,4,622,11000000,3300000,15100000,6500000, Approved
+608,0, Not Graduate, No,6000000,13100000,6,385,16600000,7600000,22000000,7400000, Rejected
+609,4, Graduate, Yes,4100000,12500000,2,579,10900000,7200000,12200000,2000000, Approved
+610,4, Not Graduate, No,8300000,17900000,20,846,12700000,1300000,26800000,12200000, Approved
+611,3, Graduate, No,8100000,23900000,10,449,7100000,6100000,28300000,8900000, Rejected
+612,1, Not Graduate, No,7200000,24900000,14,666,3600000,11600000,16600000,5800000, Approved
+613,5, Graduate, No,7200000,17500000,4,380,2300000,400000,17500000,6200000, Rejected
+614,2, Graduate, Yes,3500000,8100000,4,589,3800000,6700000,12500000,2700000, Approved
+615,1, Graduate, No,6200000,19500000,12,845,9100000,2900000,15300000,4000000, Approved
+616,3, Not Graduate, No,5200000,17300000,10,401,2600000,1400000,12700000,6400000, Rejected
+617,0, Not Graduate, No,4500000,14500000,2,766,6100000,8400000,17200000,6600000, Approved
+618,5, Not Graduate, No,5400000,15100000,12,522,5200000,4700000,13900000,5700000, Rejected
+619,3, Not Graduate, Yes,2000000,6900000,6,834,2200000,2800000,6400000,3000000, Approved
+620,3, Graduate, No,8900000,25400000,8,588,19400000,12100000,18800000,4500000, Approved
+621,2, Graduate, No,5000000,10600000,4,570,11900000,900000,14800000,7100000, Approved
+622,2, Graduate, No,4900000,17600000,6,860,13600000,7500000,12700000,5600000, Approved
+623,4, Graduate, Yes,5300000,19200000,4,655,14200000,6900000,17800000,3900000, Approved
+624,3, Not Graduate, Yes,8500000,27700000,4,457,3600000,400000,18900000,5200000, Approved
+625,5, Graduate, Yes,700000,2100000,14,863,100000,1200000,2700000,600000, Approved
+626,3, Not Graduate, Yes,5900000,18900000,4,742,10800000,4500000,23200000,8000000, Approved
+627,3, Graduate, No,3500000,13300000,4,798,7400000,5300000,12100000,3600000, Approved
+628,5, Not Graduate, Yes,7700000,18900000,16,552,15600000,6100000,23900000,6600000, Approved
+629,2, Not Graduate, Yes,4500000,12500000,12,418,400000,4300000,12400000,4300000, Rejected
+630,0, Graduate, No,9100000,22200000,6,419,7400000,600000,18200000,9800000, Rejected
+631,1, Not Graduate, Yes,9000000,29900000,2,668,22100000,7200000,24400000,4700000, Approved
+632,2, Not Graduate, No,8900000,29200000,8,608,10800000,5200000,33500000,11700000, Approved
+633,5, Not Graduate, No,6500000,13800000,10,342,15300000,2300000,14400000,7300000, Rejected
+634,4, Not Graduate, Yes,8100000,18000000,8,817,1400000,7800000,16900000,10800000, Approved
+635,1, Not Graduate, No,8400000,29900000,16,476,16100000,2400000,32700000,7500000, Rejected
+636,0, Not Graduate, No,5300000,20000000,6,881,15900000,3700000,19500000,4000000, Approved
+637,2, Graduate, No,4100000,15600000,12,838,5500000,4800000,15100000,2700000, Approved
+638,3, Not Graduate, No,6900000,27400000,4,406,10200000,6500000,23900000,5300000, Approved
+639,1, Graduate, Yes,5200000,19500000,12,778,5200000,4300000,19900000,5800000, Approved
+640,5, Not Graduate, Yes,2000000,7400000,14,799,3600000,3700000,4300000,1100000, Approved
+641,3, Graduate, No,4600000,17800000,20,716,12600000,2600000,10800000,4500000, Approved
+642,0, Graduate, Yes,7100000,20100000,16,756,8000000,5000000,17600000,5400000, Approved
+643,0, Not Graduate, No,9300000,20100000,10,743,4800000,1800000,21900000,13600000, Approved
+644,3, Not Graduate, No,5400000,19400000,20,731,13800000,3200000,20000000,4300000, Approved
+645,3, Not Graduate, No,4100000,8500000,2,833,12000000,0,16200000,3400000, Approved
+646,4, Not Graduate, No,4900000,11400000,8,470,12000000,7500000,14700000,4800000, Rejected
+647,5, Graduate, Yes,5400000,21200000,20,734,7300000,1800000,11500000,7500000, Approved
+648,0, Graduate, No,3000000,9600000,12,620,7900000,0,8600000,3600000, Approved
+649,0, Not Graduate, Yes,6800000,14400000,8,812,15200000,4500000,21100000,6400000, Approved
+650,4, Graduate, Yes,5100000,14000000,12,459,9800000,0,10400000,6800000, Rejected
+651,0, Graduate, Yes,9800000,32600000,10,704,7000000,12100000,30000000,4900000, Approved
+652,1, Graduate, Yes,1600000,4100000,6,391,4300000,1400000,5700000,700000, Rejected
+653,4, Graduate, No,8000000,29100000,4,421,3100000,12000000,27000000,8800000, Approved
+654,5, Graduate, No,2900000,6700000,14,796,3800000,3700000,9700000,4200000, Approved
+655,4, Graduate, No,9200000,30300000,10,607,24000000,16600000,29600000,8900000, Approved
+656,3, Not Graduate, No,9500000,20400000,14,376,2300000,6600000,25900000,8400000, Rejected
+657,0, Graduate, Yes,3700000,8500000,8,424,1900000,5600000,14800000,4100000, Rejected
+658,5, Graduate, Yes,7100000,20800000,6,442,2900000,7100000,28200000,7100000, Rejected
+659,5, Not Graduate, No,5600000,17600000,14,448,6700000,3500000,18900000,6800000, Rejected
+660,0, Graduate, Yes,1200000,2700000,2,638,1500000,500000,2700000,1500000, Approved
+661,3, Not Graduate, No,1600000,5600000,6,710,3100000,800000,6000000,1600000, Approved
+662,4, Not Graduate, Yes,1600000,4800000,20,641,4200000,1000000,4100000,1400000, Approved
+663,2, Not Graduate, No,5300000,20200000,10,348,9200000,9500000,17300000,6100000, Rejected
+664,5, Not Graduate, No,9100000,19900000,20,519,9300000,16400000,28900000,10500000, Rejected
+665,4, Not Graduate, Yes,9400000,35000000,10,517,10700000,15100000,27500000,6700000, Rejected
+666,3, Not Graduate, No,5900000,22400000,6,375,6500000,10500000,18100000,4800000, Rejected
+667,2, Graduate, Yes,1100000,3400000,10,426,300000,800000,3900000,1400000, Rejected
+668,4, Graduate, Yes,3100000,11500000,14,785,3200000,3100000,9100000,4200000, Approved
+669,4, Not Graduate, No,2200000,8600000,20,373,4100000,1300000,5900000,1400000, Rejected
+670,1, Graduate, No,6000000,20100000,6,476,13900000,10000000,15200000,5500000, Rejected
+671,1, Graduate, Yes,2000000,5600000,18,320,2400000,2300000,4600000,2100000, Rejected
+672,4, Graduate, No,7200000,22900000,18,657,14600000,400000,17400000,8800000, Approved
+673,1, Not Graduate, Yes,500000,1900000,12,868,200000,500000,1800000,300000, Approved
+674,1, Not Graduate, Yes,5800000,13900000,6,345,4000000,9300000,20900000,5500000, Rejected
+675,0, Not Graduate, No,200000,300000,6,472,400000,100000,700000,0, Rejected
+676,4, Not Graduate, Yes,4600000,9500000,20,613,5200000,5900000,13700000,3000000, Approved
+677,5, Not Graduate, Yes,4600000,12800000,14,769,13100000,8600000,12100000,3500000, Approved
+678,1, Graduate, No,6500000,23100000,20,741,11400000,8500000,25700000,7900000, Approved
+679,4, Not Graduate, Yes,4400000,16600000,14,889,800000,1400000,14900000,5900000, Approved
+680,0, Not Graduate, Yes,900000,3600000,10,683,1400000,700000,3500000,400000, Approved
+681,0, Not Graduate, Yes,3200000,7400000,18,780,4200000,2600000,9000000,2800000, Approved
+682,3, Graduate, No,600000,1100000,8,538,500000,800000,1400000,300000, Rejected
+683,1, Not Graduate, No,5200000,12600000,10,721,1100000,8700000,13900000,3600000, Approved
+684,3, Not Graduate, Yes,6400000,15200000,14,467,15500000,9100000,18400000,3200000, Rejected
+685,2, Not Graduate, No,1000000,2500000,6,551,1700000,200000,3700000,900000, Approved
+686,2, Not Graduate, No,6800000,14800000,14,803,11300000,3300000,19600000,6600000, Approved
+687,0, Graduate, No,3000000,8400000,10,361,7700000,200000,7300000,1800000, Rejected
+688,1, Not Graduate, Yes,8700000,30700000,6,708,20600000,4500000,27600000,9300000, Approved
+689,4, Graduate, Yes,8800000,20900000,18,766,13500000,15400000,34500000,13100000, Approved
+690,1, Not Graduate, Yes,3900000,11500000,2,464,9300000,5700000,12400000,5100000, Rejected
+691,5, Graduate, No,1700000,4300000,2,517,100000,200000,6200000,1600000, Rejected
+692,3, Not Graduate, Yes,900000,2300000,6,747,1200000,200000,2900000,600000, Approved
+693,1, Not Graduate, No,7200000,24700000,6,596,8800000,1400000,21700000,5800000, Approved
+694,0, Graduate, No,9200000,25400000,2,783,25400000,2000000,19600000,12400000, Approved
+695,3, Not Graduate, No,5700000,19400000,2,335,7400000,10600000,20600000,7100000, Approved
+696,5, Not Graduate, Yes,1100000,2700000,4,889,1900000,1000000,2200000,500000, Approved
+697,2, Not Graduate, Yes,1100000,2200000,4,874,1900000,1300000,2100000,900000, Approved
+698,0, Graduate, Yes,6000000,23900000,4,394,6700000,5800000,21900000,4500000, Approved
+699,2, Graduate, Yes,8100000,28500000,20,420,1500000,1400000,31800000,10000000, Rejected
+700,2, Not Graduate, Yes,6500000,25100000,20,848,11500000,8600000,17400000,4400000, Approved
+701,0, Graduate, Yes,7600000,17900000,16,788,1700000,7800000,27100000,5900000, Approved
+702,1, Graduate, No,2200000,4900000,8,509,3800000,0,5400000,2900000, Rejected
+703,4, Graduate, Yes,6300000,23900000,6,899,-100000,11400000,20600000,6700000, Approved
+704,4, Not Graduate, Yes,6700000,15800000,12,466,7500000,4600000,19900000,6600000, Rejected
+705,5, Graduate, Yes,1300000,4300000,2,595,1300000,500000,2900000,1500000, Approved
+706,1, Not Graduate, No,2800000,6700000,12,322,1900000,2000000,8600000,2100000, Rejected
+707,3, Graduate, No,7000000,18900000,2,691,6300000,7400000,15200000,3900000, Approved
+708,3, Not Graduate, Yes,8800000,26700000,10,379,10100000,15500000,27000000,9700000, Rejected
+709,0, Graduate, No,8900000,25800000,18,531,12400000,3400000,22900000,5400000, Rejected
+710,5, Not Graduate, No,7000000,21800000,4,631,8100000,7100000,14600000,10000000, Approved
+711,0, Graduate, Yes,6900000,18600000,10,330,19600000,9400000,16400000,4500000, Rejected
+712,5, Graduate, No,9200000,29200000,16,383,17700000,13300000,30400000,5700000, Rejected
+713,0, Graduate, Yes,6100000,19700000,16,678,13700000,2300000,19300000,5500000, Approved
+714,1, Graduate, Yes,4400000,14700000,8,894,11400000,6300000,9400000,2400000, Approved
+715,4, Not Graduate, No,9900000,22700000,12,567,28300000,9900000,29700000,5400000, Approved
+716,5, Not Graduate, No,3900000,14000000,4,708,700000,1800000,15600000,5200000, Approved
+717,3, Graduate, No,6800000,21200000,2,433,10700000,1900000,23200000,6300000, Approved
+718,4, Not Graduate, No,3600000,8700000,14,302,6400000,3700000,7800000,4100000, Rejected
+719,4, Graduate, No,700000,2600000,14,736,2100000,600000,1900000,400000, Approved
+720,2, Not Graduate, Yes,4000000,8500000,6,323,11200000,1000000,14300000,4100000, Rejected
+721,4, Graduate, No,1800000,4100000,12,670,1900000,2900000,4700000,2200000, Approved
+722,3, Not Graduate, No,5600000,21000000,12,609,8800000,11000000,15800000,4900000, Approved
+723,4, Not Graduate, No,6800000,24200000,18,349,18800000,0,15800000,9400000, Rejected
+724,5, Not Graduate, Yes,600000,1500000,2,319,100000,1100000,2100000,600000, Rejected
+725,1, Not Graduate, No,4200000,16200000,14,391,5800000,2100000,14100000,2600000, Rejected
+726,4, Not Graduate, No,5000000,18700000,10,755,3600000,600000,13000000,2600000, Approved
+727,1, Not Graduate, No,4100000,12200000,6,354,7300000,5600000,16300000,3500000, Rejected
+728,3, Not Graduate, Yes,2200000,8800000,2,877,5000000,1300000,6400000,3100000, Approved
+729,1, Not Graduate, No,3400000,8600000,16,312,6400000,6100000,8400000,3000000, Rejected
+730,0, Graduate, No,7100000,15900000,14,746,9500000,3900000,23500000,8000000, Approved
+731,3, Graduate, No,5800000,19600000,16,313,11100000,8100000,22700000,6300000, Rejected
+732,2, Graduate, No,3400000,12900000,14,857,3400000,2500000,8700000,1900000, Approved
+733,2, Not Graduate, No,7700000,18300000,20,504,14600000,500000,18300000,4600000, Rejected
+734,0, Graduate, No,500000,1200000,14,556,900000,0,1800000,500000, Approved
+735,2, Graduate, Yes,5300000,11000000,14,393,6800000,2400000,20500000,5200000, Rejected
+736,0, Graduate, No,4700000,14400000,14,881,11000000,6100000,17600000,2400000, Approved
+737,2, Graduate, Yes,4300000,12200000,14,719,5100000,2600000,14000000,5700000, Approved
+738,2, Graduate, Yes,900000,2500000,16,458,-100000,100000,3200000,1100000, Rejected
+739,4, Graduate, No,2000000,7500000,14,857,4300000,1500000,4200000,2100000, Approved
+740,2, Graduate, Yes,2000000,7600000,16,429,5300000,3100000,5800000,2200000, Rejected
+741,3, Not Graduate, No,4100000,15900000,12,538,3900000,800000,8800000,5700000, Rejected
+742,1, Not Graduate, No,6900000,14400000,10,828,4600000,13000000,26700000,9000000, Approved
+743,5, Graduate, Yes,2300000,6100000,6,339,5100000,2500000,8300000,2400000, Rejected
+744,5, Graduate, Yes,5800000,16600000,18,376,2500000,7500000,21100000,2800000, Rejected
+745,5, Not Graduate, No,8000000,30000000,14,549,14800000,200000,17300000,7000000, Rejected
+746,3, Not Graduate, Yes,3700000,12700000,18,587,11000000,3100000,8800000,4100000, Approved
+747,0, Not Graduate, No,2600000,8400000,18,861,0,3500000,6200000,3800000, Approved
+748,0, Not Graduate, No,3000000,7000000,12,409,6400000,4900000,8000000,3500000, Rejected
+749,4, Graduate, No,2700000,10200000,4,528,7800000,2200000,10000000,1600000, Approved
+750,4, Not Graduate, No,5700000,19600000,8,691,8800000,2200000,12100000,3000000, Approved
+751,2, Graduate, No,1500000,3600000,4,584,3900000,1300000,4800000,1700000, Approved
+752,5, Not Graduate, No,6800000,20000000,4,459,14500000,3000000,25000000,4900000, Rejected
+753,1, Graduate, Yes,8100000,31700000,10,755,0,12700000,30100000,4700000, Approved
+754,3, Not Graduate, Yes,9200000,27700000,20,688,4800000,16300000,25800000,11200000, Approved
+755,1, Not Graduate, Yes,7600000,26000000,6,384,2600000,1200000,20000000,7900000, Rejected
+756,4, Graduate, No,600000,1600000,20,869,1400000,1000000,1700000,200000, Approved
+757,1, Not Graduate, Yes,4700000,18700000,20,445,2100000,0,11100000,4000000, Rejected
+758,0, Graduate, No,1400000,5500000,6,393,500000,1500000,5400000,1800000, Rejected
+759,3, Graduate, Yes,9400000,24600000,10,414,8800000,13400000,23800000,5600000, Rejected
+760,2, Graduate, No,9700000,19900000,16,395,2800000,13700000,37000000,10800000, Rejected
+761,3, Not Graduate, Yes,8900000,21000000,14,815,200000,10800000,21600000,6400000, Approved
+762,5, Graduate, No,4600000,10500000,8,758,3900000,4300000,15800000,2900000, Approved
+763,5, Not Graduate, Yes,5600000,14500000,10,457,6900000,7800000,20600000,4600000, Rejected
+764,0, Graduate, Yes,1000000,3200000,10,854,2600000,800000,2900000,1200000, Approved
+765,3, Graduate, No,3500000,10300000,16,324,2400000,900000,12600000,2400000, Rejected
+766,0, Not Graduate, No,7900000,31500000,14,849,19400000,10300000,26600000,10600000, Approved
+767,3, Graduate, Yes,6100000,24200000,12,672,300000,11100000,23500000,5000000, Approved
+768,3, Not Graduate, Yes,8900000,20900000,6,859,9600000,16500000,29300000,11100000, Approved
+769,4, Graduate, No,5300000,15400000,8,584,5100000,1700000,14000000,5000000, Approved
+770,5, Not Graduate, No,1300000,4800000,4,346,3200000,1600000,3400000,1600000, Approved
+771,3, Graduate, No,4000000,12800000,18,635,6000000,7000000,12900000,4200000, Approved
+772,2, Not Graduate, No,8700000,22700000,4,365,8200000,14800000,30200000,7200000, Rejected
+773,1, Not Graduate, No,9500000,20000000,16,856,24900000,0,35700000,6200000, Approved
+774,5, Graduate, Yes,9000000,20000000,2,440,17100000,1000000,28500000,7600000, Rejected
+775,0, Graduate, Yes,7300000,23300000,2,616,15700000,5900000,25800000,4100000, Approved
+776,3, Graduate, Yes,7400000,25700000,2,461,5700000,2900000,15100000,5100000, Approved
+777,5, Not Graduate, No,3100000,10800000,10,681,5100000,1700000,7400000,1500000, Approved
+778,2, Graduate, No,4300000,9400000,2,485,11000000,8100000,11000000,2200000, Rejected
+779,1, Graduate, Yes,2400000,8300000,6,684,5500000,3500000,5300000,2300000, Approved
+780,1, Graduate, No,5400000,17900000,14,727,13100000,0,12300000,4700000, Approved
+781,2, Not Graduate, No,1600000,5100000,6,784,1400000,2400000,4500000,1400000, Approved
+782,3, Not Graduate, Yes,9900000,20400000,4,865,26300000,3600000,36500000,12800000, Approved
+783,3, Not Graduate, No,5800000,20100000,18,791,1400000,10800000,16300000,5600000, Approved
+784,4, Not Graduate, No,2200000,8500000,16,866,4000000,1900000,6800000,2800000, Approved
+785,0, Graduate, No,5000000,14400000,2,761,-100000,7300000,12600000,4500000, Approved
+786,2, Not Graduate, Yes,600000,2100000,18,572,400000,500000,1400000,300000, Approved
+787,4, Graduate, No,2200000,8600000,6,601,2700000,2900000,6700000,3300000, Approved
+788,1, Graduate, Yes,2600000,5500000,14,820,2700000,2400000,9300000,2000000, Approved
+789,4, Not Graduate, No,1200000,4300000,8,598,1600000,1800000,3200000,1300000, Approved
+790,2, Graduate, No,3100000,8700000,18,544,5300000,1100000,12200000,1500000, Rejected
+791,5, Not Graduate, Yes,4600000,14500000,14,561,2300000,6200000,10200000,5800000, Approved
+792,4, Graduate, Yes,9300000,35500000,6,547,2800000,17800000,27000000,13900000, Rejected
+793,4, Graduate, No,6300000,13400000,2,504,10500000,10900000,14500000,9400000, Rejected
+794,2, Not Graduate, No,5900000,20800000,14,530,7100000,5800000,13100000,8800000, Rejected
+795,2, Graduate, Yes,2900000,10600000,6,614,1000000,300000,7600000,3600000, Approved
+796,4, Not Graduate, No,6100000,22400000,18,351,11800000,5000000,24400000,4800000, Rejected
+797,4, Graduate, Yes,5900000,19700000,10,431,3300000,9200000,22700000,5300000, Rejected
+798,1, Not Graduate, Yes,4600000,18400000,10,403,200000,8800000,17300000,2900000, Rejected
+799,2, Not Graduate, No,7000000,20200000,8,668,16600000,5000000,26100000,9100000, Approved
+800,3, Not Graduate, Yes,5100000,10400000,18,399,8000000,4300000,20100000,4600000, Rejected
+801,1, Graduate, No,3100000,10600000,14,665,6200000,800000,9500000,3900000, Approved
+802,2, Graduate, No,4100000,12800000,16,344,10300000,7000000,15800000,4100000, Rejected
+803,0, Graduate, No,1800000,5400000,16,555,3900000,2900000,5100000,1700000, Approved
+804,4, Not Graduate, Yes,8200000,26900000,20,301,23800000,13600000,31000000,9900000, Rejected
+805,2, Not Graduate, Yes,800000,2100000,6,726,2000000,0,2600000,600000, Approved
+806,2, Graduate, No,8400000,23100000,6,689,5700000,2500000,18900000,11900000, Approved
+807,0, Not Graduate, No,8500000,33900000,4,665,8500000,12800000,17900000,4500000, Approved
+808,3, Not Graduate, Yes,3300000,12700000,16,608,3600000,6200000,12600000,4500000, Approved
+809,3, Not Graduate, No,5800000,12800000,20,335,4400000,3000000,15300000,8000000, Rejected
+810,3, Not Graduate, No,4400000,10500000,18,677,100000,2000000,12100000,5000000, Approved
+811,1, Not Graduate, No,2600000,8500000,2,491,1700000,1800000,5300000,2600000, Approved
+812,2, Not Graduate, Yes,9600000,28100000,20,763,23000000,11800000,27500000,10300000, Approved
+813,5, Not Graduate, Yes,5200000,18100000,8,809,2400000,6900000,14000000,5500000, Approved
+814,5, Not Graduate, Yes,9700000,36400000,16,544,3500000,15000000,31300000,5200000, Rejected
+815,1, Graduate, Yes,200000,800000,14,624,600000,0,600000,0, Approved
+816,3, Graduate, No,6500000,16800000,10,388,9500000,800000,14900000,7200000, Rejected
+817,4, Graduate, Yes,7200000,23100000,14,644,13300000,3500000,18300000,4200000, Approved
+818,0, Not Graduate, No,5200000,18400000,14,600,7300000,9700000,16500000,3600000, Approved
+819,2, Not Graduate, No,6500000,14100000,2,709,1000000,12700000,20900000,4000000, Approved
+820,5, Graduate, Yes,2300000,5600000,8,642,2600000,1900000,8600000,2500000, Approved
+821,0, Not Graduate, Yes,3300000,10400000,4,423,7400000,4700000,11600000,3200000, Approved
+822,0, Not Graduate, Yes,2000000,5900000,12,900,3800000,2400000,7100000,3000000, Approved
+823,2, Graduate, Yes,8300000,19500000,4,415,2300000,9400000,21700000,8600000, Rejected
+824,4, Graduate, Yes,3800000,14300000,4,645,1300000,1100000,10900000,4600000, Approved
+825,0, Not Graduate, No,5700000,15600000,16,742,700000,5800000,11400000,6800000, Approved
+826,4, Not Graduate, No,7300000,19800000,8,724,5500000,6000000,29000000,10300000, Approved
+827,1, Graduate, No,1600000,5400000,12,707,600000,1700000,6200000,800000, Approved
+828,5, Not Graduate, Yes,800000,2500000,4,780,500000,900000,1700000,400000, Approved
+829,4, Not Graduate, No,6300000,21900000,10,538,9600000,5400000,19300000,7800000, Rejected
+830,2, Graduate, No,8800000,17700000,14,706,22900000,4300000,30300000,9200000, Approved
+831,0, Graduate, No,7300000,14500000,16,811,1000000,12400000,16100000,9600000, Approved
+832,2, Graduate, Yes,3800000,9100000,14,849,6300000,2400000,9500000,2500000, Approved
+833,3, Graduate, No,6200000,16700000,10,880,15800000,8200000,20100000,9100000, Approved
+834,5, Not Graduate, Yes,3500000,9500000,4,664,9500000,500000,7800000,5200000, Approved
+835,5, Graduate, Yes,1400000,5000000,2,465,0,2600000,5300000,1500000, Approved
+836,3, Not Graduate, Yes,3500000,12000000,2,786,600000,6400000,10700000,1700000, Approved
+837,1, Graduate, Yes,600000,2000000,10,326,400000,1000000,2400000,700000, Rejected
+838,0, Not Graduate, No,4100000,10800000,16,399,5900000,7600000,12700000,5300000, Rejected
+839,2, Not Graduate, Yes,5400000,11500000,6,841,6800000,100000,11100000,6600000, Approved
+840,2, Not Graduate, Yes,2000000,6700000,14,638,4900000,200000,4900000,2300000, Approved
+841,4, Graduate, Yes,3500000,8900000,4,478,4000000,3900000,11300000,3800000, Rejected
+842,0, Graduate, Yes,8300000,30000000,4,600,14600000,12500000,24800000,12000000, Approved
+843,0, Graduate, Yes,6700000,15600000,16,768,300000,1800000,26000000,3800000, Approved
+844,0, Not Graduate, No,1900000,6500000,10,523,2400000,1100000,6200000,1100000, Rejected
+845,2, Graduate, Yes,6500000,20900000,14,327,8200000,100000,22800000,4700000, Rejected
+846,1, Graduate, Yes,600000,1800000,8,799,1000000,700000,2200000,800000, Approved
+847,5, Graduate, No,7000000,23000000,18,803,18700000,6300000,27800000,4100000, Approved
+848,2, Graduate, No,7700000,15400000,18,524,12900000,5100000,21000000,6600000, Rejected
+849,1, Graduate, No,2600000,6600000,6,506,2300000,1900000,9600000,2100000, Rejected
+850,1, Graduate, No,9200000,18800000,2,351,22400000,2200000,31500000,13000000, Rejected
+851,2, Graduate, Yes,1800000,4200000,8,648,1200000,3100000,6200000,1600000, Approved
+852,1, Not Graduate, No,4900000,18500000,4,612,6100000,5900000,16400000,2900000, Approved
+853,1, Graduate, No,5700000,12400000,14,396,5400000,7500000,17600000,5600000, Rejected
+854,3, Not Graduate, No,300000,800000,2,458,500000,0,1100000,200000, Rejected
+855,3, Graduate, Yes,1700000,3400000,6,488,100000,500000,4500000,1600000, Rejected
+856,4, Graduate, No,7000000,18900000,6,475,1300000,6100000,14700000,5200000, Rejected
+857,1, Not Graduate, No,2200000,7000000,18,417,2000000,3900000,6500000,1900000, Rejected
+858,2, Not Graduate, No,6800000,18700000,8,781,17600000,900000,23700000,5400000, Approved
+859,1, Not Graduate, Yes,2400000,6200000,12,337,3400000,2100000,9400000,2300000, Rejected
+860,0, Not Graduate, Yes,600000,1800000,12,511,300000,200000,2200000,400000, Rejected
+861,4, Graduate, No,6200000,17300000,6,837,12600000,3700000,24700000,4600000, Approved
+862,1, Not Graduate, No,7600000,24600000,12,810,1300000,10500000,30300000,5200000, Approved
+863,2, Not Graduate, No,4800000,10600000,8,588,3700000,5200000,15000000,4500000, Approved
+864,5, Graduate, No,4200000,9200000,12,870,3200000,2400000,12300000,5700000, Approved
+865,0, Not Graduate, Yes,7200000,20700000,10,733,15600000,12000000,19200000,9900000, Approved
+866,5, Not Graduate, Yes,6400000,20300000,16,348,10000000,10900000,20400000,6900000, Rejected
+867,0, Not Graduate, Yes,8900000,23000000,12,741,5600000,11200000,27100000,7100000, Approved
+868,3, Not Graduate, No,5100000,14500000,12,306,700000,8800000,11600000,2900000, Rejected
+869,2, Graduate, Yes,6300000,19500000,18,428,15900000,7200000,19900000,6500000, Rejected
+870,3, Graduate, No,6600000,22100000,4,455,3800000,3000000,25100000,7400000, Approved
+871,1, Not Graduate, Yes,4800000,14700000,2,356,7100000,8800000,13400000,5500000, Approved
+872,0, Graduate, No,200000,400000,4,594,500000,0,400000,100000, Approved
+873,0, Not Graduate, Yes,7500000,25800000,18,844,9100000,600000,18600000,6500000, Approved
+874,4, Graduate, No,9000000,34700000,4,771,4800000,9500000,34100000,7700000, Approved
+875,2, Graduate, No,5400000,12500000,4,622,14400000,2900000,11800000,5400000, Approved
+876,1, Not Graduate, Yes,1700000,4500000,20,480,200000,600000,5400000,1900000, Rejected
+877,4, Graduate, No,4300000,11500000,20,337,11100000,6000000,17000000,5200000, Rejected
+878,1, Graduate, No,5200000,11200000,6,698,14100000,7600000,18800000,2700000, Approved
+879,4, Not Graduate, No,4400000,17000000,18,302,1000000,2100000,14000000,5700000, Rejected
+880,1, Not Graduate, Yes,3900000,7800000,14,349,11200000,500000,11800000,3600000, Rejected
+881,0, Graduate, No,1100000,3300000,10,482,2800000,300000,2900000,1600000, Rejected
+882,2, Graduate, No,2500000,8200000,10,429,1500000,4100000,5900000,2200000, Rejected
+883,4, Graduate, No,500000,1300000,8,471,500000,300000,1500000,700000, Rejected
+884,0, Graduate, Yes,9000000,32400000,10,895,16800000,5800000,20700000,9500000, Approved
+885,1, Not Graduate, Yes,5100000,20300000,18,757,11800000,3400000,13400000,3200000, Approved
+886,2, Graduate, No,5200000,13500000,2,777,7000000,5200000,15500000,6100000, Approved
+887,5, Not Graduate, Yes,4400000,8900000,4,761,8100000,1000000,14200000,3000000, Approved
+888,1, Graduate, No,1900000,4200000,12,821,5200000,1500000,5000000,2700000, Approved
+889,4, Not Graduate, Yes,9200000,26500000,6,662,1000000,400000,26900000,5300000, Approved
+890,2, Not Graduate, Yes,4800000,16500000,10,350,2000000,6500000,11400000,2900000, Rejected
+891,4, Not Graduate, No,4900000,10700000,20,321,1200000,400000,11100000,6500000, Rejected
+892,3, Graduate, Yes,4800000,10100000,4,368,9100000,5100000,16500000,3500000, Rejected
+893,4, Graduate, No,9300000,24900000,14,455,27600000,4700000,35100000,13900000, Rejected
+894,5, Not Graduate, Yes,7500000,24600000,8,744,1600000,3600000,16700000,9300000, Approved
+895,1, Graduate, No,5900000,16800000,4,806,11200000,9700000,22800000,7100000, Approved
+896,0, Graduate, No,9400000,27900000,6,456,21400000,18500000,35600000,7800000, Rejected
+897,5, Graduate, No,5300000,13400000,8,719,1600000,200000,11400000,5300000, Approved
+898,4, Graduate, No,3700000,9000000,18,668,7800000,1600000,13400000,3100000, Approved
+899,0, Graduate, Yes,2500000,5800000,18,494,5100000,4400000,8500000,2300000, Rejected
+900,4, Not Graduate, No,2800000,10800000,2,841,700000,2600000,7100000,4100000, Approved
+901,0, Graduate, Yes,5400000,21400000,8,721,8200000,6400000,16700000,7400000, Approved
+902,5, Graduate, No,3100000,9400000,10,414,200000,5300000,8000000,2800000, Rejected
+903,5, Not Graduate, No,4800000,15500000,10,812,9500000,1500000,17800000,3500000, Approved
+904,1, Not Graduate, No,8800000,17500000,20,832,1800000,3600000,24000000,7400000, Approved
+905,2, Graduate, No,4100000,14900000,12,571,-100000,5200000,13000000,3400000, Approved
+906,5, Not Graduate, No,9700000,37000000,14,459,28700000,17900000,22800000,5600000, Rejected
+907,2, Graduate, Yes,6400000,24100000,6,592,2500000,6300000,20200000,6000000, Approved
+908,5, Graduate, No,3400000,13100000,20,527,900000,4500000,8600000,4000000, Rejected
+909,4, Not Graduate, No,3500000,10200000,12,333,7600000,6400000,8100000,3400000, Rejected
+910,3, Not Graduate, No,3200000,10000000,18,532,3300000,100000,9800000,2100000, Rejected
+911,2, Graduate, Yes,4900000,13100000,18,754,8200000,3300000,16500000,7200000, Approved
+912,0, Graduate, Yes,1300000,4800000,4,835,500000,100000,3300000,800000, Rejected
+913,4, Graduate, No,2500000,5400000,10,592,3400000,1500000,9900000,2900000, Approved
+914,0, Graduate, No,7500000,27300000,20,553,11600000,2800000,26200000,6100000, Approved
+915,2, Graduate, No,700000,2000000,8,806,1900000,1100000,2200000,400000, Approved
+916,4, Graduate, Yes,8200000,28500000,2,378,6800000,11200000,26400000,11500000, Approved
+917,1, Not Graduate, No,6900000,26200000,4,534,14500000,11900000,14900000,9400000, Approved
+918,1, Not Graduate, Yes,1500000,5900000,16,400,4200000,2400000,4800000,1500000, Rejected
+919,3, Graduate, No,6300000,18300000,18,543,1800000,9400000,17700000,3500000, Rejected
+920,0, Not Graduate, Yes,8800000,25600000,10,715,25300000,2500000,34900000,8600000, Approved
+921,4, Graduate, Yes,8900000,20700000,6,684,1100000,9200000,20400000,6700000, Approved
+922,3, Not Graduate, Yes,2100000,6100000,8,346,5500000,600000,4500000,2900000, Rejected
+923,1, Graduate, Yes,9200000,29200000,6,669,9900000,12900000,23400000,11700000, Approved
+924,2, Not Graduate, No,3600000,8000000,12,566,10500000,3000000,8900000,2700000, Approved
+925,0, Not Graduate, Yes,8600000,23600000,2,361,25800000,5300000,24700000,7500000, Rejected
+926,5, Graduate, No,3000000,8000000,6,333,3200000,400000,8200000,2200000, Rejected
+927,3, Not Graduate, Yes,5200000,16300000,8,335,9500000,7000000,13600000,7300000, Rejected
+928,3, Graduate, Yes,7200000,20400000,10,558,0,13200000,27200000,10600000, Approved
+929,1, Not Graduate, Yes,4000000,15600000,12,436,10400000,2800000,14800000,3200000, Rejected
+930,1, Not Graduate, No,2400000,5200000,2,371,6100000,3100000,8500000,1400000, Rejected
+931,2, Not Graduate, Yes,5500000,18400000,10,515,6800000,4400000,18500000,4100000, Rejected
+932,0, Not Graduate, Yes,9000000,24300000,10,599,12900000,3400000,26900000,6400000, Approved
+933,0, Not Graduate, Yes,7900000,24000000,20,728,18600000,15600000,21800000,7400000, Approved
+934,2, Not Graduate, Yes,6200000,21600000,20,679,18600000,2500000,24500000,9100000, Approved
+935,3, Graduate, Yes,7900000,29200000,4,399,23200000,5500000,30200000,6900000, Approved
+936,3, Not Graduate, No,1200000,4500000,6,819,1400000,1100000,4400000,900000, Approved
+937,1, Graduate, No,4700000,11700000,6,308,11800000,1100000,15100000,3700000, Rejected
+938,5, Graduate, Yes,5900000,15600000,2,730,12600000,4700000,15900000,5900000, Approved
+939,4, Not Graduate, Yes,1400000,5100000,14,312,4000000,1000000,3200000,1400000, Rejected
+940,3, Not Graduate, Yes,4700000,12800000,16,740,2200000,8600000,11700000,6100000, Approved
+941,5, Graduate, Yes,7600000,20000000,10,522,21500000,1400000,20400000,4300000, Rejected
+942,4, Graduate, No,7200000,16900000,4,702,15900000,7100000,22000000,9600000, Approved
+943,4, Not Graduate, Yes,1400000,4300000,16,447,3600000,1200000,5300000,1000000, Rejected
+944,5, Graduate, No,1400000,2900000,4,829,800000,600000,5400000,1600000, Approved
+945,2, Graduate, No,7900000,18500000,18,727,20200000,12400000,19600000,7100000, Approved
+946,5, Not Graduate, Yes,7600000,18700000,14,509,8500000,8500000,22200000,3700000, Rejected
+947,3, Graduate, Yes,9600000,34200000,2,745,2500000,2000000,33000000,6700000, Approved
+948,1, Not Graduate, No,2300000,6600000,18,513,4600000,900000,9000000,1600000, Rejected
+949,2, Not Graduate, No,8100000,18500000,6,372,19100000,10200000,31000000,7900000, Rejected
+950,2, Graduate, Yes,300000,700000,4,411,600000,0,1200000,100000, Rejected
+951,4, Graduate, No,4700000,10800000,20,495,11300000,6800000,17000000,4500000, Rejected
+952,5, Not Graduate, No,1100000,2500000,4,827,2400000,1000000,4100000,600000, Approved
+953,4, Not Graduate, No,8600000,25100000,6,820,14400000,5000000,26000000,8300000, Approved
+954,5, Graduate, Yes,8700000,28100000,10,660,25500000,800000,25900000,10100000, Approved
+955,0, Not Graduate, No,2200000,8600000,4,563,900000,1000000,4400000,2800000, Approved
+956,1, Not Graduate, Yes,500000,1400000,10,883,900000,0,1700000,300000, Approved
+957,0, Not Graduate, Yes,9100000,22000000,12,387,25300000,15600000,31700000,7000000, Rejected
+958,1, Graduate, No,2200000,8700000,12,613,500000,1800000,5700000,2400000, Approved
+959,0, Not Graduate, Yes,2200000,8000000,14,335,2800000,3700000,6900000,2900000, Rejected
+960,1, Graduate, Yes,9600000,34500000,2,795,9500000,900000,32000000,9300000, Approved
+961,1, Graduate, Yes,6500000,13900000,8,369,9600000,300000,17200000,8300000, Rejected
+962,4, Graduate, Yes,2400000,7400000,18,888,2700000,1600000,7600000,3200000, Approved
+963,4, Not Graduate, No,5500000,12300000,6,742,12900000,2700000,19800000,4300000, Approved
+964,0, Graduate, No,5000000,14400000,4,874,3000000,9300000,14100000,3900000, Approved
+965,1, Graduate, No,2700000,8100000,16,691,2000000,3600000,8100000,2100000, Approved
+966,3, Not Graduate, Yes,8500000,30300000,12,762,12700000,3700000,20000000,4200000, Approved
+967,1, Graduate, No,4400000,10700000,18,324,2200000,3300000,12700000,5400000, Rejected
+968,4, Not Graduate, No,500000,1800000,20,777,900000,300000,1300000,200000, Approved
+969,0, Graduate, No,8300000,21400000,2,662,6100000,12300000,24500000,10200000, Approved
+970,2, Not Graduate, Yes,6000000,13000000,12,462,2100000,2500000,14600000,5600000, Rejected
+971,3, Not Graduate, Yes,4000000,10400000,14,609,2100000,6900000,11700000,4600000, Approved
+972,5, Graduate, Yes,4400000,11700000,20,590,900000,2700000,15500000,2300000, Approved
+973,3, Graduate, Yes,4400000,15800000,18,779,7200000,5400000,14900000,3600000, Approved
+974,2, Graduate, Yes,1900000,5000000,14,641,1000000,900000,5500000,2400000, Approved
+975,0, Graduate, Yes,5000000,18400000,12,752,14600000,4000000,10500000,6500000, Approved
+976,0, Graduate, No,8000000,23700000,10,305,22200000,11600000,17200000,12000000, Rejected
+977,4, Not Graduate, No,8200000,20700000,10,546,10800000,7000000,25000000,10600000, Rejected
+978,2, Graduate, No,7000000,24200000,8,833,13700000,4100000,26100000,9100000, Approved
+979,2, Not Graduate, No,2400000,8800000,18,421,3200000,1500000,6700000,1400000, Rejected
+980,5, Graduate, No,6600000,18800000,4,639,3200000,1100000,25100000,4300000, Approved
+981,3, Graduate, No,3200000,6900000,20,735,1500000,3700000,9200000,3100000, Approved
+982,0, Not Graduate, Yes,2600000,5400000,2,377,100000,4900000,6100000,2700000, Rejected
+983,3, Not Graduate, No,6900000,15600000,20,310,4500000,3600000,20400000,4800000, Rejected
+984,4, Graduate, No,4800000,14000000,2,695,11300000,1700000,15400000,4600000, Approved
+985,1, Not Graduate, Yes,300000,1200000,4,355,700000,300000,800000,200000, Approved
+986,1, Not Graduate, Yes,4300000,14100000,12,525,2100000,1100000,14100000,5500000, Rejected
+987,5, Not Graduate, No,700000,2400000,20,330,1300000,700000,2500000,500000, Rejected
+988,5, Graduate, No,9400000,25800000,14,625,28200000,15400000,30800000,11100000, Approved
+989,3, Not Graduate, Yes,800000,2900000,10,644,600000,500000,2900000,400000, Approved
+990,5, Not Graduate, No,4400000,14900000,4,865,8200000,6200000,14900000,3500000, Approved
+991,1, Graduate, Yes,4700000,14800000,6,661,8500000,6000000,13600000,6400000, Approved
+992,2, Not Graduate, No,2300000,5000000,8,884,1400000,1700000,6100000,1500000, Approved
+993,5, Graduate, Yes,8500000,26700000,10,803,500000,16600000,24400000,9600000, Approved
+994,2, Graduate, No,7600000,28300000,12,800,19700000,14800000,15600000,7800000, Approved
+995,2, Graduate, No,3200000,12600000,18,796,6200000,3500000,9600000,2000000, Approved
+996,4, Not Graduate, No,2400000,5000000,4,716,1500000,2800000,6900000,1400000, Approved
+997,0, Graduate, Yes,500000,1100000,18,479,1500000,500000,1800000,600000, Rejected
+998,3, Not Graduate, Yes,8500000,28300000,2,810,25200000,4300000,18500000,10700000, Approved
+999,0, Graduate, Yes,8900000,20900000,18,568,18800000,700000,32700000,5300000, Approved
+1000,0, Graduate, No,2800000,5600000,8,842,0,1300000,6100000,1900000, Approved
+1001,3, Not Graduate, Yes,2900000,7000000,4,806,5700000,5600000,5900000,3000000, Approved
+1002,1, Graduate, Yes,4900000,17700000,8,722,9200000,7300000,16400000,3000000, Approved
+1003,5, Not Graduate, No,9600000,20700000,14,442,25800000,9800000,31800000,8200000, Rejected
+1004,3, Graduate, Yes,3300000,9800000,6,360,4500000,600000,11000000,4400000, Rejected
+1005,3, Not Graduate, No,2800000,5900000,4,461,1600000,400000,8900000,2800000, Rejected
+1006,2, Graduate, No,7800000,22200000,10,735,9700000,4600000,23000000,6900000, Approved
+1007,4, Graduate, Yes,2500000,8400000,12,761,6300000,1300000,8400000,1600000, Approved
+1008,0, Graduate, No,4400000,10600000,20,653,6800000,4600000,16800000,5400000, Approved
+1009,0, Not Graduate, No,7900000,30800000,4,726,5000000,14600000,23800000,5500000, Approved
+1010,1, Graduate, No,8900000,22600000,18,617,8400000,15500000,27900000,11700000, Approved
+1011,0, Graduate, No,5600000,13400000,2,460,3400000,4100000,14800000,4100000, Rejected
+1012,1, Not Graduate, No,1400000,3300000,8,306,3200000,800000,2700000,800000, Rejected
+1013,5, Graduate, Yes,500000,1400000,4,471,500000,100000,1300000,300000, Rejected
+1014,1, Graduate, Yes,5100000,15300000,4,628,6900000,3300000,17600000,2700000, Approved
+1015,3, Graduate, No,9800000,25600000,10,404,24400000,6700000,37000000,11500000, Rejected
+1016,2, Graduate, Yes,8600000,21600000,16,804,15400000,300000,26800000,7100000, Approved
+1017,3, Not Graduate, No,1600000,3900000,20,804,900000,2500000,3200000,800000, Approved
+1018,1, Not Graduate, Yes,2500000,6700000,2,502,3400000,2600000,9400000,1400000, Rejected
+1019,0, Graduate, No,9500000,22600000,6,861,24700000,13200000,29000000,5600000, Approved
+1020,2, Not Graduate, Yes,3000000,7800000,14,555,6600000,2700000,9600000,1700000, Approved
+1021,0, Not Graduate, No,5100000,13600000,18,351,1700000,3700000,14400000,7600000, Rejected
+1022,2, Not Graduate, Yes,7600000,23600000,6,358,20200000,2900000,22100000,10900000, Rejected
+1023,5, Graduate, No,8800000,18800000,14,836,17300000,10100000,32700000,5400000, Approved
+1024,4, Not Graduate, Yes,1100000,2900000,4,554,2800000,1000000,4100000,1600000, Approved
+1025,3, Graduate, No,8700000,30500000,2,443,11800000,1800000,24600000,8100000, Approved
+1026,5, Not Graduate, No,6100000,23600000,4,725,17400000,5100000,15600000,4800000, Approved
+1027,2, Not Graduate, Yes,1900000,7000000,14,818,4800000,3500000,4500000,2100000, Approved
+1028,1, Not Graduate, No,9900000,38700000,6,670,19400000,12600000,35800000,6500000, Approved
+1029,0, Graduate, No,5800000,21100000,6,414,7900000,2400000,16000000,5600000, Rejected
+1030,2, Not Graduate, Yes,9500000,37000000,8,887,21800000,18300000,19200000,11700000, Approved
+1031,3, Graduate, Yes,7900000,26600000,12,409,17100000,1400000,22500000,8700000, Rejected
+1032,1, Not Graduate, Yes,1300000,4500000,14,679,2700000,2100000,3700000,1600000, Approved
+1033,4, Graduate, Yes,700000,2600000,18,478,600000,600000,2100000,300000, Rejected
+1034,3, Graduate, No,600000,1200000,2,752,1100000,500000,2300000,700000, Approved
+1035,0, Graduate, No,9400000,33000000,4,616,15400000,5000000,25100000,7800000, Approved
+1036,2, Not Graduate, Yes,3800000,12500000,14,842,3700000,6700000,14600000,5300000, Approved
+1037,3, Graduate, Yes,7800000,26300000,20,840,1200000,11300000,24100000,5300000, Approved
+1038,3, Graduate, Yes,7800000,27700000,6,430,2000000,8000000,26100000,5300000, Rejected
+1039,4, Not Graduate, No,2700000,7000000,4,351,1100000,2300000,8300000,2700000, Rejected
+1040,5, Not Graduate, No,600000,2300000,4,347,0,0,1900000,200000, Rejected
+1041,3, Not Graduate, Yes,8000000,28800000,10,576,18800000,7500000,16300000,11900000, Approved
+1042,0, Not Graduate, Yes,4000000,11000000,8,799,4400000,6100000,14700000,4200000, Approved
+1043,1, Not Graduate, Yes,3300000,10800000,2,550,6000000,3800000,11000000,4700000, Approved
+1044,2, Graduate, No,5800000,13300000,4,878,8400000,5400000,18600000,4500000, Approved
+1045,3, Graduate, Yes,2400000,4800000,12,895,6800000,300000,7300000,3300000, Approved
+1046,4, Not Graduate, No,7600000,29700000,6,603,3200000,2900000,27800000,11000000, Approved
+1047,2, Not Graduate, Yes,2500000,6900000,12,325,5800000,1600000,6400000,3600000, Rejected
+1048,2, Graduate, No,3300000,11800000,4,393,5700000,3700000,6800000,2600000, Approved
+1049,3, Graduate, No,9800000,30300000,2,612,10700000,4600000,32100000,5600000, Approved
+1050,0, Graduate, Yes,1000000,3800000,8,553,2500000,1000000,2100000,1300000, Approved
+1051,0, Not Graduate, Yes,2500000,8800000,14,389,7300000,1400000,8500000,3600000, Rejected
+1052,0, Graduate, No,1900000,6800000,4,782,100000,3400000,4900000,2400000, Approved
+1053,3, Graduate, No,3100000,8500000,12,493,8700000,5100000,12000000,2000000, Rejected
+1054,5, Graduate, Yes,6000000,11900000,2,629,2500000,0,19200000,4200000, Approved
+1055,5, Not Graduate, No,6500000,21600000,10,419,1600000,10900000,22300000,6600000, Rejected
+1056,2, Not Graduate, Yes,5900000,15800000,2,444,14300000,4300000,20300000,5500000, Rejected
+1057,5, Not Graduate, Yes,6500000,15800000,16,301,9200000,9900000,17400000,7100000, Rejected
+1058,0, Graduate, Yes,3800000,11200000,20,479,1100000,6400000,12000000,5400000, Rejected
+1059,3, Not Graduate, Yes,3000000,11400000,10,424,1800000,4200000,10900000,1500000, Rejected
+1060,0, Graduate, No,4300000,16900000,18,469,200000,5800000,12000000,6200000, Rejected
+1061,4, Not Graduate, Yes,3500000,8300000,2,897,7900000,5500000,12600000,1800000, Approved
+1062,3, Not Graduate, No,300000,500000,2,477,700000,200000,800000,400000, Rejected
+1063,3, Not Graduate, Yes,600000,1400000,16,509,600000,300000,2400000,900000, Rejected
+1064,0, Graduate, Yes,800000,1700000,4,752,2300000,1100000,3200000,400000, Approved
+1065,0, Not Graduate, Yes,5600000,19100000,14,875,16700000,4700000,15100000,7700000, Approved
+1066,2, Not Graduate, Yes,1800000,3600000,4,343,3400000,1100000,6200000,1500000, Rejected
+1067,0, Graduate, No,6800000,20800000,20,819,16500000,11900000,26700000,8000000, Approved
+1068,2, Graduate, Yes,4200000,16800000,2,433,3300000,0,14100000,3700000, Approved
+1069,1, Not Graduate, Yes,200000,400000,6,768,300000,100000,600000,0, Approved
+1070,2, Graduate, Yes,8500000,31800000,6,714,17000000,900000,26600000,5600000, Approved
+1071,2, Not Graduate, Yes,2800000,10100000,16,531,2900000,2900000,7200000,4100000, Rejected
+1072,0, Graduate, Yes,3600000,8600000,6,529,3500000,3300000,11300000,5200000, Rejected
+1073,1, Not Graduate, No,6200000,19500000,20,448,3300000,7100000,22400000,8000000, Rejected
+1074,1, Graduate, No,2700000,10000000,2,584,6500000,2700000,7700000,3400000, Approved
+1075,1, Graduate, No,6800000,22900000,4,501,3900000,9400000,17300000,4400000, Approved
+1076,2, Not Graduate, No,6300000,24500000,18,848,10200000,3500000,18200000,8200000, Approved
+1077,4, Not Graduate, No,8800000,19100000,6,586,17600000,8800000,20600000,12400000, Approved
+1078,1, Graduate, No,5900000,13000000,2,386,16300000,5000000,12000000,3800000, Rejected
+1079,5, Not Graduate, Yes,9800000,37900000,18,301,6700000,4900000,34300000,6200000, Rejected
+1080,2, Graduate, No,3300000,8300000,6,653,4700000,3100000,8300000,4600000, Approved
+1081,4, Graduate, Yes,300000,500000,14,448,700000,100000,800000,100000, Rejected
+1082,1, Not Graduate, Yes,4800000,11600000,16,696,1400000,9400000,11800000,6500000, Approved
+1083,1, Graduate, No,7500000,28300000,16,707,9700000,1100000,16300000,6700000, Approved
+1084,2, Not Graduate, No,8600000,21700000,4,429,5500000,10800000,30900000,6000000, Rejected
+1085,4, Not Graduate, No,8900000,21100000,6,631,4200000,200000,25800000,6200000, Approved
+1086,5, Not Graduate, Yes,9600000,29600000,4,446,22900000,3500000,36600000,13200000, Approved
+1087,0, Graduate, Yes,7700000,18100000,18,705,6100000,5100000,23800000,6300000, Approved
+1088,3, Not Graduate, Yes,7000000,15200000,2,709,10300000,12500000,20700000,4000000, Approved
+1089,4, Not Graduate, Yes,7800000,19500000,14,739,1900000,9000000,20400000,4400000, Approved
+1090,3, Graduate, No,5100000,11000000,6,336,-100000,5800000,11600000,7500000, Rejected
+1091,4, Graduate, No,9400000,32600000,4,898,18200000,4000000,22000000,10200000, Approved
+1092,4, Not Graduate, Yes,600000,2100000,6,558,1300000,1000000,2200000,300000, Approved
+1093,3, Graduate, No,5100000,13300000,4,589,11200000,2700000,20200000,6100000, Approved
+1094,2, Graduate, Yes,3800000,14400000,2,301,2300000,1400000,7600000,2400000, Rejected
+1095,2, Not Graduate, Yes,5300000,21200000,14,516,2200000,5000000,20900000,7700000, Rejected
+1096,5, Not Graduate, No,1100000,3600000,12,315,1300000,700000,3100000,1400000, Rejected
+1097,3, Not Graduate, No,6400000,14400000,10,546,10600000,10000000,21200000,5100000, Rejected
+1098,0, Not Graduate, Yes,5100000,14500000,14,559,11000000,1100000,12300000,6000000, Approved
+1099,3, Graduate, Yes,5300000,16900000,2,350,15800000,3100000,14300000,6800000, Approved
+1100,1, Graduate, No,6700000,18700000,8,583,9300000,4100000,17100000,6900000, Approved
+1101,2, Not Graduate, No,4000000,9400000,8,874,4400000,3700000,10200000,4800000, Approved
+1102,2, Not Graduate, Yes,3900000,11600000,8,808,5800000,3100000,12900000,5000000, Approved
+1103,1, Graduate, Yes,1600000,4900000,16,487,4300000,1100000,3900000,2000000, Rejected
+1104,3, Graduate, No,2700000,7800000,14,870,5400000,5300000,5700000,2100000, Approved
+1105,3, Graduate, No,1400000,3800000,8,840,1700000,200000,5300000,1500000, Approved
+1106,4, Not Graduate, Yes,8000000,19200000,18,682,2500000,8900000,19000000,5300000, Approved
+1107,3, Graduate, Yes,8200000,28900000,10,668,23800000,4500000,28700000,10900000, Approved
+1108,5, Graduate, Yes,4800000,10300000,8,781,4800000,6800000,11100000,4300000, Approved
+1109,4, Graduate, No,8100000,19000000,6,375,4100000,14500000,19100000,11900000, Rejected
+1110,4, Not Graduate, No,5900000,14900000,14,857,2600000,9500000,16000000,3500000, Approved
+1111,5, Graduate, Yes,8100000,32100000,6,823,18200000,1800000,24100000,6500000, Approved
+1112,0, Graduate, No,1400000,5000000,8,686,1800000,1900000,3200000,1500000, Approved
+1113,1, Graduate, No,1600000,6300000,2,721,3000000,600000,5200000,900000, Approved
+1114,4, Graduate, No,4600000,9400000,18,545,800000,2400000,11500000,6300000, Rejected
+1115,1, Not Graduate, No,2900000,8900000,6,523,900000,5600000,9700000,1800000, Rejected
+1116,2, Graduate, Yes,8600000,24900000,20,607,13600000,7600000,31800000,5400000, Approved
+1117,4, Not Graduate, No,3800000,14900000,20,428,6500000,3500000,12200000,2500000, Rejected
+1118,0, Not Graduate, No,8200000,20300000,4,666,13100000,10200000,25900000,7800000, Approved
+1119,3, Graduate, No,3200000,10100000,20,704,3400000,4800000,9000000,3900000, Approved
+1120,0, Not Graduate, Yes,8100000,23800000,10,794,5400000,15500000,20700000,8800000, Approved
+1121,1, Graduate, Yes,9800000,23300000,12,430,3200000,12600000,30500000,13900000, Rejected
+1122,0, Not Graduate, No,200000,500000,20,615,500000,200000,600000,200000, Approved
+1123,0, Not Graduate, No,6600000,14100000,20,360,6800000,5100000,25400000,7800000, Rejected
+1124,0, Not Graduate, No,9100000,18300000,14,458,6100000,9200000,34100000,10000000, Rejected
+1125,2, Not Graduate, No,5500000,20400000,12,887,8800000,9400000,12300000,3300000, Approved
+1126,4, Not Graduate, No,7200000,27400000,8,735,14100000,14200000,19400000,9500000, Approved
+1127,1, Not Graduate, No,2400000,5600000,16,379,3700000,600000,7200000,3400000, Rejected
+1128,4, Graduate, No,9600000,25500000,20,544,4000000,11400000,23800000,11100000, Rejected
+1129,1, Graduate, Yes,5800000,16700000,12,721,1100000,9700000,17200000,7500000, Approved
+1130,4, Not Graduate, No,2300000,6000000,8,676,6000000,400000,4800000,2200000, Approved
+1131,1, Not Graduate, No,300000,1200000,4,342,800000,100000,1100000,200000, Approved
+1132,0, Not Graduate, No,9900000,27000000,16,566,3500000,17300000,36900000,11500000, Approved
+1133,2, Not Graduate, No,3500000,14000000,2,355,8700000,1600000,11800000,2900000, Approved
+1134,2, Graduate, No,4800000,18500000,20,605,5700000,5500000,14700000,5800000, Approved
+1135,2, Not Graduate, No,1600000,5200000,16,525,300000,2900000,5600000,1600000, Rejected
+1136,5, Graduate, Yes,800000,2500000,12,403,500000,0,3200000,800000, Rejected
+1137,1, Graduate, Yes,9000000,33500000,18,727,18800000,10500000,28100000,5300000, Approved
+1138,1, Graduate, No,8300000,28900000,12,529,18300000,3900000,32500000,5800000, Rejected
+1139,4, Graduate, No,2800000,6100000,18,415,2200000,4200000,8400000,2000000, Rejected
+1140,1, Graduate, Yes,6400000,17300000,10,879,10000000,1100000,15400000,8200000, Approved
+1141,2, Not Graduate, Yes,6000000,12600000,16,649,4800000,5300000,23900000,5100000, Approved
+1142,0, Graduate, No,2900000,9800000,16,395,5400000,4300000,8600000,2400000, Rejected
+1143,0, Graduate, No,6500000,24100000,20,488,3300000,6000000,22900000,9700000, Rejected
+1144,1, Graduate, Yes,200000,400000,8,569,200000,200000,700000,300000, Approved
+1145,1, Not Graduate, No,8400000,24600000,14,817,1800000,13100000,31300000,8200000, Approved
+1146,1, Graduate, Yes,6100000,17800000,20,706,16000000,10900000,16900000,4300000, Approved
+1147,2, Graduate, Yes,8000000,31200000,8,553,6800000,3500000,21000000,10300000, Approved
+1148,5, Not Graduate, Yes,900000,1800000,14,464,2300000,300000,1800000,700000, Rejected
+1149,2, Graduate, No,7300000,20000000,6,729,13100000,10700000,17900000,9100000, Approved
+1150,4, Not Graduate, Yes,3700000,7400000,12,363,4800000,6800000,10500000,4400000, Rejected
+1151,2, Graduate, No,5200000,17200000,12,565,3500000,1300000,20000000,6300000, Approved
+1152,1, Graduate, No,7200000,21000000,14,421,3500000,11600000,21800000,4600000, Rejected
+1153,0, Not Graduate, Yes,9400000,34200000,10,512,13100000,15600000,32600000,6300000, Rejected
+1154,3, Not Graduate, Yes,3400000,12400000,2,730,2500000,3900000,12200000,4600000, Approved
+1155,0, Graduate, No,600000,2300000,8,627,1800000,500000,2200000,300000, Approved
+1156,0, Not Graduate, Yes,3300000,10000000,16,434,3000000,4100000,12900000,4100000, Rejected
+1157,2, Graduate, Yes,5900000,14300000,2,410,11900000,4400000,16900000,4100000, Rejected
+1158,3, Not Graduate, No,1300000,3600000,16,624,2400000,2300000,3300000,1900000, Approved
+1159,4, Graduate, Yes,5700000,16900000,4,656,13000000,7400000,22000000,8400000, Approved
+1160,2, Not Graduate, No,7700000,27300000,16,758,7300000,4600000,24800000,9100000, Approved
+1161,4, Not Graduate, Yes,7000000,23500000,18,336,15000000,9500000,19700000,7800000, Rejected
+1162,5, Graduate, No,8100000,21900000,18,378,5200000,3400000,16200000,9600000, Rejected
+1163,1, Graduate, Yes,1900000,4200000,4,620,4700000,2800000,7500000,900000, Approved
+1164,2, Graduate, No,4500000,9100000,18,593,-100000,600000,12400000,2500000, Approved
+1165,0, Not Graduate, Yes,9600000,34000000,12,710,23800000,10300000,38100000,7800000, Approved
+1166,1, Not Graduate, Yes,5400000,20700000,8,753,1900000,800000,19000000,3600000, Approved
+1167,1, Not Graduate, Yes,7800000,27200000,16,454,16100000,3400000,17100000,11400000, Rejected
+1168,1, Graduate, Yes,8200000,19100000,8,619,17200000,12200000,31500000,6600000, Approved
+1169,2, Graduate, No,8900000,28500000,6,367,22200000,16600000,21500000,9300000, Rejected
+1170,1, Graduate, No,1400000,3100000,20,384,200000,1200000,4200000,1800000, Rejected
+1171,2, Graduate, No,1700000,5900000,16,610,3100000,300000,3700000,1300000, Approved
+1172,0, Graduate, No,5300000,19500000,12,802,9800000,3300000,15200000,3200000, Approved
+1173,3, Graduate, No,6500000,25200000,10,858,15400000,10900000,14000000,8100000, Approved
+1174,2, Graduate, No,5900000,14000000,8,599,4700000,9500000,17800000,6700000, Approved
+1175,4, Graduate, Yes,9800000,27000000,2,395,18700000,3000000,23000000,9700000, Rejected
+1176,3, Graduate, Yes,7700000,16200000,6,380,11500000,15100000,22500000,6400000, Rejected
+1177,1, Graduate, No,7900000,27100000,10,803,20000000,9800000,22200000,6600000, Approved
+1178,4, Graduate, No,3500000,8900000,20,809,7100000,1500000,13700000,3200000, Approved
+1179,4, Not Graduate, No,2400000,6600000,2,722,6100000,3300000,5600000,3000000, Approved
+1180,5, Graduate, No,9900000,35700000,10,392,7900000,4300000,39200000,13000000, Rejected
+1181,0, Graduate, No,3900000,14500000,8,545,5900000,3000000,10300000,3400000, Rejected
+1182,2, Not Graduate, Yes,7300000,28500000,10,799,21500000,3100000,15800000,4300000, Approved
+1183,0, Graduate, Yes,6400000,21900000,12,727,15400000,10100000,24000000,5300000, Approved
+1184,4, Graduate, No,7100000,19800000,18,530,7100000,3400000,20900000,7100000, Rejected
+1185,2, Not Graduate, No,8800000,19000000,14,637,13700000,13900000,27100000,6100000, Approved
+1186,5, Graduate, No,7400000,21000000,4,561,21300000,3800000,26400000,3900000, Approved
+1187,2, Not Graduate, No,4400000,12000000,20,421,9300000,2700000,15700000,3400000, Rejected
+1188,3, Graduate, Yes,8600000,30300000,14,459,12000000,4100000,23800000,9100000, Rejected
+1189,3, Not Graduate, No,6900000,26000000,14,828,14800000,4200000,18500000,3600000, Approved
+1190,4, Graduate, No,9600000,27500000,20,679,23400000,7500000,37800000,6300000, Approved
+1191,2, Graduate, Yes,8100000,25700000,8,455,22300000,11500000,19800000,9500000, Rejected
+1192,0, Not Graduate, No,2600000,9400000,18,879,2800000,1400000,5100000,2300000, Approved
+1193,3, Graduate, Yes,9300000,26100000,14,636,4700000,16100000,34500000,11600000, Approved
+1194,2, Not Graduate, Yes,2100000,5600000,16,426,400000,300000,7100000,1200000, Rejected
+1195,4, Not Graduate, Yes,9000000,21500000,14,508,16600000,17300000,24300000,13100000, Rejected
+1196,3, Not Graduate, Yes,7000000,19200000,4,768,8600000,13700000,19200000,7700000, Approved
+1197,3, Not Graduate, No,2200000,6400000,20,667,6300000,3900000,8300000,2900000, Approved
+1198,5, Graduate, Yes,7500000,28200000,2,440,8200000,5800000,24400000,6000000, Approved
+1199,1, Graduate, Yes,8300000,16800000,2,366,22000000,6600000,27300000,4500000, Rejected
+1200,2, Not Graduate, No,300000,600000,2,383,600000,300000,1100000,400000, Rejected
+1201,0, Not Graduate, Yes,300000,800000,4,603,800000,200000,600000,200000, Approved
+1202,3, Graduate, No,3900000,14900000,4,728,4700000,4000000,14900000,5500000, Approved
+1203,0, Not Graduate, No,6600000,20300000,6,549,10800000,900000,23100000,9800000, Rejected
+1204,0, Graduate, No,4100000,10700000,8,855,11500000,700000,11200000,3100000, Approved
+1205,5, Graduate, Yes,1800000,5300000,12,461,2800000,2000000,4700000,2000000, Rejected
+1206,3, Not Graduate, Yes,7000000,16100000,16,379,2000000,5200000,23000000,10000000, Rejected
+1207,2, Not Graduate, Yes,5100000,13700000,6,559,7800000,9800000,12700000,5100000, Approved
+1208,1, Not Graduate, Yes,300000,600000,8,816,600000,300000,1100000,200000, Approved
+1209,4, Not Graduate, Yes,4300000,11400000,2,560,10000000,3900000,8900000,3300000, Approved
+1210,0, Graduate, Yes,3200000,12000000,14,645,5200000,1400000,12100000,3400000, Approved
+1211,4, Not Graduate, Yes,4200000,11500000,6,551,10600000,7600000,11300000,5000000, Approved
+1212,0, Not Graduate, Yes,9600000,22900000,8,515,4300000,14700000,33300000,7800000, Rejected
+1213,4, Graduate, No,1300000,3600000,10,657,3200000,1900000,2900000,1100000, Approved
+1214,3, Not Graduate, No,2400000,9300000,2,682,3100000,4400000,5200000,1500000, Approved
+1215,0, Graduate, No,600000,1600000,10,588,1600000,100000,1100000,300000, Approved
+1216,5, Graduate, Yes,9600000,38000000,10,359,2100000,13600000,38200000,9400000, Rejected
+1217,0, Graduate, No,400000,1200000,4,766,900000,300000,1200000,300000, Approved
+1218,4, Graduate, No,5900000,19900000,14,469,14200000,6800000,22100000,3200000, Rejected
+1219,0, Graduate, Yes,700000,1400000,10,618,1300000,200000,1700000,500000, Approved
+1220,0, Not Graduate, Yes,8600000,17700000,20,711,22000000,0,30800000,7400000, Approved
+1221,0, Graduate, Yes,9000000,34000000,4,549,2000000,8900000,20000000,12400000, Approved
+1222,3, Graduate, Yes,5100000,20400000,6,754,1700000,2600000,11800000,7600000, Approved
+1223,4, Not Graduate, Yes,500000,1500000,6,461,1300000,500000,1700000,200000, Rejected
+1224,2, Graduate, No,1600000,3800000,10,837,3800000,1100000,5500000,1600000, Approved
+1225,0, Graduate, Yes,9800000,23900000,14,459,1000000,13400000,21100000,7200000, Rejected
+1226,4, Graduate, No,7800000,29700000,20,614,22000000,700000,26800000,6300000, Approved
+1227,4, Not Graduate, No,6500000,24000000,16,373,5600000,5100000,15600000,6700000, Rejected
+1228,5, Graduate, Yes,7500000,26500000,12,512,16500000,2900000,23700000,6000000, Rejected
+1229,4, Graduate, Yes,8900000,23400000,18,781,16500000,3100000,24900000,5800000, Approved
+1230,4, Graduate, Yes,1800000,5800000,14,305,600000,3300000,3600000,2000000, Rejected
+1231,1, Not Graduate, Yes,7600000,27800000,6,447,1300000,700000,20100000,10900000, Rejected
+1232,4, Graduate, Yes,1200000,4600000,6,757,1900000,200000,4800000,1500000, Approved
+1233,5, Graduate, Yes,2700000,10400000,2,723,2800000,700000,10300000,1400000, Approved
+1234,1, Not Graduate, Yes,4600000,10900000,12,463,1200000,1200000,10900000,6600000, Rejected
+1235,2, Not Graduate, No,6900000,18700000,10,699,12800000,5700000,21200000,5200000, Approved
+1236,4, Graduate, Yes,8400000,25200000,2,308,8100000,9300000,27700000,10500000, Approved
+1237,0, Graduate, No,300000,500000,18,702,300000,400000,1200000,100000, Approved
+1238,2, Not Graduate, Yes,9500000,37500000,4,456,10200000,16800000,34100000,12900000, Approved
+1239,3, Graduate, Yes,1900000,5900000,8,651,700000,2100000,6200000,1500000, Approved
+1240,3, Not Graduate, No,4200000,14500000,20,840,4500000,5900000,8900000,4600000, Approved
+1241,4, Graduate, Yes,2200000,7900000,18,848,5100000,1700000,8500000,1600000, Approved
+1242,5, Graduate, Yes,7100000,19700000,4,727,7700000,12900000,23600000,5800000, Approved
+1243,4, Graduate, No,3500000,11600000,10,335,6300000,5200000,10300000,2300000, Rejected
+1244,5, Not Graduate, No,400000,800000,18,304,900000,500000,1400000,400000, Rejected
+1245,2, Graduate, Yes,8800000,34400000,2,712,10500000,12500000,29300000,5900000, Approved
+1246,0, Not Graduate, No,1800000,6600000,10,737,5000000,2000000,6000000,1500000, Approved
+1247,1, Graduate, Yes,7600000,29300000,14,690,13900000,4000000,30000000,9100000, Approved
+1248,1, Graduate, Yes,1000000,3200000,4,888,2000000,1500000,2200000,1300000, Approved
+1249,2, Not Graduate, Yes,8200000,27200000,10,839,9200000,6400000,25500000,6000000, Approved
+1250,5, Not Graduate, Yes,3600000,12400000,8,333,8800000,1000000,10700000,4000000, Rejected
+1251,5, Graduate, No,9400000,23700000,18,862,21500000,3500000,22400000,5600000, Approved
+1252,5, Not Graduate, No,2600000,9100000,4,309,6400000,1400000,5900000,3400000, Approved
+1253,5, Not Graduate, No,9500000,30700000,10,823,16300000,3700000,30300000,13100000, Approved
+1254,0, Graduate, Yes,3500000,11700000,14,649,2700000,700000,11400000,4800000, Approved
+1255,5, Not Graduate, Yes,9800000,35700000,10,726,9400000,18900000,31200000,12000000, Approved
+1256,4, Graduate, No,800000,3100000,18,712,400000,700000,1900000,1100000, Approved
+1257,0, Not Graduate, No,9700000,37300000,20,701,12100000,16200000,24100000,10500000, Approved
+1258,3, Graduate, No,6200000,21300000,12,655,6500000,11600000,19200000,5000000, Approved
+1259,1, Not Graduate, Yes,4400000,16600000,18,385,800000,5300000,13400000,5100000, Rejected
+1260,2, Graduate, No,1800000,3800000,4,777,5100000,2700000,4600000,1400000, Approved
+1261,3, Graduate, No,1700000,5300000,14,696,300000,700000,4500000,800000, Approved
+1262,3, Graduate, No,3900000,14100000,16,496,2500000,2200000,13700000,2900000, Rejected
+1263,2, Graduate, Yes,2200000,7900000,6,659,3400000,1800000,8600000,2400000, Approved
+1264,3, Not Graduate, Yes,6300000,17700000,2,542,16800000,900000,16400000,5300000, Rejected
+1265,2, Not Graduate, No,2200000,8700000,18,729,3900000,3300000,7600000,1300000, Approved
+1266,1, Graduate, No,8100000,28400000,6,744,20300000,10500000,21800000,7700000, Approved
+1267,4, Not Graduate, No,6800000,17000000,2,749,18000000,3800000,27100000,9400000, Approved
+1268,0, Graduate, No,4700000,14800000,20,755,12300000,5000000,15400000,3700000, Approved
+1269,3, Graduate, Yes,2200000,5300000,2,506,1600000,1700000,5800000,2800000, Rejected
+1270,3, Graduate, Yes,3500000,13000000,6,391,6100000,3500000,13300000,4300000, Rejected
+1271,1, Not Graduate, Yes,3500000,11600000,10,898,3100000,2700000,9000000,4500000, Approved
+1272,5, Not Graduate, No,500000,1500000,12,527,100000,600000,1100000,200000, Rejected
+1273,5, Not Graduate, No,9900000,35800000,20,470,9500000,18400000,39100000,14700000, Rejected
+1274,1, Graduate, No,8400000,25000000,12,694,5300000,14900000,23000000,7700000, Approved
+1275,1, Graduate, No,5000000,18800000,14,325,13100000,5700000,12800000,4300000, Rejected
+1276,4, Not Graduate, Yes,5500000,13400000,10,880,300000,800000,19900000,2800000, Approved
+1277,5, Graduate, Yes,3000000,11900000,14,459,6000000,4800000,11700000,4200000, Rejected
+1278,3, Not Graduate, Yes,9400000,21400000,10,323,5100000,15500000,29600000,11300000, Rejected
+1279,4, Graduate, No,7600000,29000000,8,739,22100000,8100000,22100000,8800000, Approved
+1280,0, Not Graduate, Yes,5500000,16300000,10,724,11900000,1500000,11900000,6200000, Approved
+1281,1, Graduate, No,3100000,7400000,18,487,8400000,1200000,9200000,4500000, Rejected
+1282,3, Graduate, No,7700000,27700000,4,439,13900000,7500000,27100000,6200000, Approved
+1283,2, Graduate, No,9800000,25400000,2,655,19900000,4600000,21300000,7900000, Approved
+1284,3, Not Graduate, No,3200000,9200000,14,443,3300000,1100000,7200000,4500000, Rejected
+1285,2, Graduate, No,700000,2600000,20,489,100000,200000,2400000,900000, Rejected
+1286,4, Not Graduate, Yes,3100000,8600000,14,427,3100000,3800000,9900000,3700000, Rejected
+1287,0, Graduate, Yes,4500000,10500000,20,417,9800000,2000000,9600000,5800000, Rejected
+1288,5, Not Graduate, Yes,8900000,24800000,18,842,16200000,5000000,20000000,8100000, Approved
+1289,3, Not Graduate, No,5900000,23200000,2,307,15500000,10000000,21100000,6300000, Approved
+1290,2, Not Graduate, No,1500000,4500000,18,428,4500000,1200000,5600000,1100000, Rejected
+1291,4, Not Graduate, Yes,6300000,15200000,16,415,15500000,1800000,20700000,7900000, Rejected
+1292,3, Not Graduate, Yes,6500000,18200000,20,405,10400000,2800000,21300000,6700000, Rejected
+1293,4, Graduate, No,8000000,31500000,18,683,10300000,7900000,30100000,9600000, Approved
+1294,1, Graduate, Yes,3300000,10600000,14,742,300000,600000,8400000,4500000, Approved
+1295,4, Not Graduate, No,3900000,10000000,10,530,10900000,200000,12300000,1900000, Rejected
+1296,3, Graduate, No,1600000,3500000,10,844,4500000,2200000,5200000,1600000, Approved
+1297,2, Not Graduate, Yes,3900000,13900000,18,715,5000000,5600000,9900000,2100000, Approved
+1298,3, Graduate, Yes,8000000,26300000,12,476,21700000,6600000,16400000,9000000, Rejected
+1299,2, Graduate, No,2200000,4800000,6,721,1800000,100000,6900000,2200000, Approved
+1300,4, Not Graduate, No,7600000,30300000,12,339,20400000,8000000,22200000,5800000, Rejected
+1301,5, Not Graduate, Yes,2700000,6800000,6,461,4500000,2000000,8200000,1700000, Rejected
+1302,2, Graduate, Yes,6300000,23200000,12,556,7000000,8300000,24200000,5300000, Approved
+1303,3, Not Graduate, No,7700000,18700000,8,483,15100000,5600000,24600000,10200000, Rejected
+1304,2, Graduate, No,4500000,17200000,18,406,4100000,6300000,13800000,3300000, Rejected
+1305,2, Graduate, Yes,9400000,24800000,14,513,24200000,18200000,37200000,7500000, Rejected
+1306,0, Not Graduate, No,4600000,12600000,16,574,3400000,6200000,15100000,3600000, Approved
+1307,0, Graduate, Yes,5200000,15700000,6,692,3800000,7000000,12800000,5500000, Approved
+1308,5, Graduate, Yes,8000000,29800000,18,867,17700000,14100000,22800000,9200000, Approved
+1309,1, Not Graduate, Yes,9900000,38500000,2,875,19600000,2900000,20200000,6500000, Approved
+1310,4, Graduate, Yes,8500000,18600000,10,597,16600000,3200000,21000000,11600000, Approved
+1311,2, Graduate, Yes,4900000,12000000,20,513,14200000,8100000,18300000,4800000, Rejected
+1312,3, Graduate, Yes,7000000,24200000,2,354,18200000,7000000,15900000,7900000, Approved
+1313,2, Not Graduate, No,9600000,25900000,18,647,11800000,9900000,35600000,11500000, Approved
+1314,1, Graduate, No,9700000,23700000,6,875,11500000,14400000,38100000,10400000, Approved
+1315,1, Graduate, No,6200000,14300000,20,819,7500000,11700000,16700000,4300000, Approved
+1316,4, Not Graduate, Yes,4100000,9600000,10,521,11900000,7100000,14100000,4900000, Rejected
+1317,0, Graduate, Yes,6100000,19900000,20,761,4500000,3700000,12700000,7100000, Approved
+1318,0, Graduate, No,700000,1900000,18,572,1400000,1000000,2000000,300000, Approved
+1319,3, Graduate, No,6400000,24100000,12,571,19000000,11500000,13200000,7500000, Approved
+1320,4, Graduate, Yes,3800000,7800000,20,891,4600000,7000000,14300000,3300000, Approved
+1321,1, Not Graduate, No,4900000,14800000,12,895,8600000,8200000,18300000,5200000, Approved
+1322,2, Graduate, No,2100000,6600000,20,580,3800000,4100000,6200000,2100000, Approved
+1323,2, Graduate, No,6200000,23400000,8,605,10000000,10800000,21800000,9200000, Approved
+1324,4, Not Graduate, No,1600000,5100000,8,705,2400000,800000,5100000,1900000, Approved
+1325,1, Not Graduate, Yes,1300000,5000000,20,423,900000,800000,3900000,1600000, Rejected
+1326,5, Not Graduate, Yes,7300000,22500000,2,846,9800000,4700000,20300000,5700000, Approved
+1327,2, Not Graduate, No,2100000,5000000,4,542,700000,600000,6600000,3100000, Rejected
+1328,5, Not Graduate, No,600000,2400000,18,631,600000,300000,2100000,900000, Approved
+1329,4, Graduate, No,7000000,24500000,18,318,4300000,1700000,16300000,3600000, Rejected
+1330,1, Not Graduate, Yes,3000000,6800000,10,541,5800000,5700000,10700000,2900000, Rejected
+1331,1, Graduate, No,900000,2900000,20,782,0,1500000,3500000,800000, Approved
+1332,2, Graduate, No,9600000,35000000,2,888,12600000,6500000,37900000,5800000, Approved
+1333,0, Graduate, No,1500000,3600000,14,747,200000,1400000,3000000,1200000, Approved
+1334,0, Graduate, Yes,5000000,18900000,6,641,4300000,8500000,19600000,6700000, Approved
+1335,3, Graduate, Yes,500000,1700000,4,640,400000,700000,1300000,200000, Approved
+1336,4, Not Graduate, No,7600000,28100000,12,324,12500000,8500000,19900000,11100000, Rejected
+1337,4, Graduate, No,5500000,21200000,20,359,4200000,5300000,18600000,6400000, Rejected
+1338,0, Not Graduate, Yes,6600000,23300000,12,338,2400000,800000,18900000,9300000, Rejected
+1339,0, Graduate, No,1400000,3200000,14,384,3100000,800000,3400000,2000000, Rejected
+1340,5, Not Graduate, Yes,8800000,26600000,16,545,19100000,16600000,30400000,7600000, Rejected
+1341,5, Not Graduate, No,6200000,24200000,18,610,10200000,7800000,19600000,8300000, Approved
+1342,2, Graduate, Yes,8300000,27900000,18,840,12600000,3500000,19100000,9200000, Approved
+1343,3, Not Graduate, No,2400000,8100000,6,630,5100000,2900000,9100000,2300000, Approved
+1344,1, Graduate, No,9100000,31200000,4,508,12800000,11700000,31100000,7800000, Approved
+1345,0, Not Graduate, Yes,9500000,34900000,4,535,800000,14100000,25600000,14000000, Approved
+1346,1, Graduate, No,1200000,3400000,20,717,3100000,1500000,2500000,900000, Approved
+1347,2, Graduate, Yes,7700000,19300000,8,735,1200000,1900000,23800000,10400000, Approved
+1348,5, Graduate, Yes,7800000,22000000,20,528,5800000,8800000,24700000,4900000, Rejected
+1349,0, Graduate, Yes,9400000,20000000,4,350,3300000,1400000,37200000,4700000, Rejected
+1350,0, Not Graduate, No,1700000,5700000,12,422,3400000,1100000,6500000,900000, Rejected
+1351,5, Graduate, No,4000000,13700000,6,496,-100000,1400000,15800000,3700000, Rejected
+1352,4, Not Graduate, No,4200000,15500000,18,794,7300000,700000,13400000,2200000, Approved
+1353,2, Graduate, No,2400000,7700000,6,719,6000000,1700000,6700000,1600000, Approved
+1354,3, Not Graduate, Yes,2700000,6100000,14,630,3900000,2800000,10600000,2300000, Approved
+1355,3, Not Graduate, Yes,600000,1800000,4,843,1400000,300000,1700000,400000, Approved
+1356,2, Graduate, No,4600000,15600000,2,764,7700000,1500000,16000000,5800000, Approved
+1357,3, Graduate, No,7200000,17700000,4,662,13100000,11500000,16300000,5300000, Approved
+1358,0, Not Graduate, No,4700000,15500000,16,311,12800000,200000,17500000,2700000, Rejected
+1359,4, Not Graduate, No,4300000,10100000,2,606,9900000,1800000,8900000,5500000, Approved
+1360,5, Graduate, No,4700000,10200000,16,874,10800000,7700000,11100000,7000000, Approved
+1361,4, Not Graduate, Yes,8700000,30000000,4,370,17600000,15600000,34600000,12100000, Approved
+1362,1, Graduate, No,7000000,20500000,10,414,19700000,7500000,20700000,5100000, Rejected
+1363,2, Not Graduate, No,600000,1100000,10,800,1200000,200000,2300000,900000, Approved
+1364,1, Not Graduate, No,6800000,16900000,12,779,13800000,10200000,23400000,4400000, Approved
+1365,1, Not Graduate, No,6400000,14100000,20,553,11700000,4500000,20000000,3600000, Approved
+1366,4, Not Graduate, No,7600000,29900000,18,445,4800000,13900000,18400000,5700000, Rejected
+1367,3, Not Graduate, No,9000000,21400000,8,496,16400000,7300000,31800000,12500000, Rejected
+1368,0, Graduate, Yes,2400000,5900000,10,650,5100000,3700000,5300000,2300000, Approved
+1369,3, Not Graduate, No,6800000,17900000,6,783,20000000,9800000,23600000,5500000, Approved
+1370,5, Graduate, Yes,3500000,13500000,10,535,3100000,5700000,12500000,3100000, Rejected
+1371,4, Graduate, Yes,8900000,34000000,20,415,13500000,3100000,33600000,12800000, Rejected
+1372,0, Not Graduate, No,6000000,15300000,8,709,8900000,1700000,16400000,3500000, Approved
+1373,3, Not Graduate, No,700000,2500000,14,819,1600000,1000000,2100000,900000, Approved
+1374,0, Not Graduate, Yes,6800000,17300000,18,841,10500000,8600000,16000000,8700000, Approved
+1375,4, Not Graduate, Yes,5300000,10700000,12,700,15800000,1900000,20500000,2900000, Approved
+1376,1, Graduate, Yes,1400000,4200000,4,881,2800000,1200000,5100000,1300000, Approved
+1377,2, Graduate, Yes,1400000,4600000,4,804,1900000,2200000,5200000,700000, Approved
+1378,4, Not Graduate, No,9200000,21700000,6,653,22700000,4600000,29400000,8600000, Approved
+1379,1, Graduate, Yes,7900000,29200000,2,663,19600000,12100000,28600000,10100000, Approved
+1380,0, Not Graduate, No,4500000,17500000,10,495,10300000,3500000,9700000,6200000, Rejected
+1381,1, Not Graduate, No,3800000,9800000,8,335,100000,5100000,14200000,1800000, Rejected
+1382,5, Graduate, Yes,1500000,4900000,6,618,3400000,1000000,3200000,900000, Approved
+1383,3, Not Graduate, No,1200000,2400000,12,480,3000000,100000,3100000,1700000, Rejected
+1384,4, Not Graduate, No,1700000,4900000,18,843,4800000,2200000,6200000,1800000, Approved
+1385,4, Graduate, No,5200000,14100000,16,483,11800000,800000,19200000,2700000, Rejected
+1386,1, Not Graduate, No,1600000,5100000,12,548,2200000,2700000,3600000,800000, Rejected
+1387,4, Graduate, Yes,6600000,16000000,16,379,6500000,12600000,24700000,4500000, Rejected
+1388,5, Not Graduate, Yes,9400000,26600000,20,771,10200000,12600000,36900000,11700000, Approved
+1389,4, Graduate, Yes,300000,500000,2,353,600000,100000,1200000,400000, Rejected
+1390,5, Not Graduate, No,4600000,11500000,16,668,6500000,3100000,10200000,5500000, Approved
+1391,3, Not Graduate, Yes,6100000,21300000,2,387,7100000,3100000,16300000,4100000, Approved
+1392,0, Not Graduate, Yes,1500000,4100000,12,789,3600000,1600000,5800000,1300000, Approved
+1393,0, Graduate, Yes,400000,900000,2,855,-100000,500000,1300000,400000, Approved
+1394,0, Not Graduate, No,8700000,33600000,14,751,7100000,13700000,22800000,7000000, Approved
+1395,3, Not Graduate, No,7000000,21600000,12,739,1600000,7600000,24500000,8400000, Approved
+1396,4, Graduate, No,4700000,13100000,14,492,1000000,4500000,14100000,6400000, Rejected
+1397,4, Not Graduate, Yes,7600000,23800000,16,896,3700000,4500000,15400000,6400000, Approved
+1398,1, Not Graduate, Yes,9200000,24500000,4,545,25700000,0,20600000,13300000, Rejected
+1399,5, Not Graduate, No,9400000,36800000,20,891,13900000,16600000,19300000,8900000, Approved
+1400,0, Graduate, No,4800000,15100000,6,848,1300000,300000,18800000,3500000, Approved
+1401,3, Not Graduate, Yes,600000,2400000,12,884,600000,800000,1400000,600000, Approved
+1402,3, Graduate, Yes,4900000,14300000,14,439,10300000,5600000,17400000,5100000, Rejected
+1403,3, Graduate, Yes,3300000,8500000,12,586,7500000,5100000,7800000,3900000, Approved
+1404,3, Graduate, Yes,9100000,18800000,20,308,14500000,10200000,20500000,4800000, Rejected
+1405,5, Graduate, No,6100000,23500000,16,300,300000,700000,22800000,4800000, Rejected
+1406,3, Graduate, Yes,8400000,19600000,2,741,21500000,200000,18700000,8300000, Approved
+1407,4, Graduate, No,7900000,31400000,8,698,16500000,11400000,28700000,5100000, Approved
+1408,2, Not Graduate, Yes,6100000,22300000,10,733,12100000,9700000,17200000,5600000, Approved
+1409,3, Not Graduate, Yes,2000000,4200000,16,571,1700000,3900000,5800000,1300000, Approved
+1410,3, Graduate, Yes,9900000,29900000,20,490,10500000,9100000,27100000,7400000, Rejected
+1411,2, Not Graduate, No,9500000,25400000,16,451,19000000,2900000,33800000,11400000, Rejected
+1412,4, Graduate, Yes,1900000,6800000,6,559,3600000,2200000,6200000,1200000, Approved
+1413,4, Graduate, Yes,6900000,21400000,10,577,12500000,2200000,14900000,6300000, Approved
+1414,2, Not Graduate, Yes,1500000,5000000,4,613,4400000,1300000,5200000,2100000, Approved
+1415,4, Not Graduate, No,1900000,3800000,20,785,1000000,600000,6100000,1500000, Approved
+1416,0, Graduate, Yes,2300000,6000000,8,690,5500000,2900000,6000000,2000000, Approved
+1417,2, Not Graduate, No,7800000,17100000,14,351,19000000,7200000,19300000,7100000, Rejected
+1418,4, Not Graduate, No,400000,1000000,10,447,0,300000,900000,300000, Rejected
+1419,0, Graduate, Yes,9400000,19200000,20,708,21200000,16300000,23400000,13200000, Approved
+1420,2, Graduate, No,9100000,21700000,12,549,25500000,11000000,34700000,12200000, Rejected
+1421,1, Graduate, Yes,9000000,18800000,8,797,4100000,9400000,22900000,7500000, Approved
+1422,4, Not Graduate, No,7100000,14300000,14,537,13700000,10400000,18200000,6100000, Rejected
+1423,3, Graduate, No,800000,2500000,12,828,1700000,0,1500000,700000, Approved
+1424,0, Graduate, Yes,4500000,9600000,14,471,3200000,7700000,11000000,3600000, Rejected
+1425,5, Graduate, No,8500000,25400000,4,336,8500000,1200000,30600000,9000000, Rejected
+1426,3, Not Graduate, Yes,2500000,9800000,16,424,4700000,3200000,5800000,1300000, Rejected
+1427,2, Graduate, No,1500000,3300000,18,440,800000,2300000,3000000,1800000, Rejected
+1428,0, Not Graduate, No,6200000,17300000,8,583,3700000,3900000,13600000,3300000, Approved
+1429,1, Not Graduate, Yes,1300000,2900000,6,480,2900000,300000,2900000,1400000, Rejected
+1430,5, Not Graduate, No,6600000,25800000,10,670,4600000,7200000,20600000,8500000, Approved
+1431,0, Graduate, Yes,5300000,13700000,6,329,8800000,7600000,11200000,2800000, Rejected
+1432,5, Not Graduate, No,1400000,3000000,6,754,3500000,2700000,5300000,1400000, Approved
+1433,2, Not Graduate, Yes,2900000,7800000,18,588,400000,100000,11600000,4200000, Approved
+1434,3, Not Graduate, No,6500000,16500000,4,551,5300000,800000,18500000,7600000, Approved
+1435,3, Graduate, No,8300000,18900000,4,316,20200000,9700000,21300000,8200000, Rejected
+1436,2, Not Graduate, Yes,8900000,32200000,12,382,0,11300000,20500000,5400000, Rejected
+1437,3, Graduate, No,5300000,15000000,6,717,7000000,4100000,17100000,5300000, Approved
+1438,0, Graduate, No,2800000,7300000,6,676,3500000,2200000,5700000,3200000, Approved
+1439,1, Not Graduate, No,8000000,27800000,6,667,6000000,12600000,22500000,9900000, Approved
+1440,3, Not Graduate, No,3900000,10500000,20,821,1600000,6300000,11000000,3900000, Approved
+1441,0, Graduate, No,6200000,20100000,20,345,9300000,5900000,17400000,4100000, Rejected
+1442,3, Not Graduate, Yes,5900000,19200000,10,442,9500000,500000,18300000,4700000, Rejected
+1443,1, Graduate, Yes,6000000,23300000,12,672,2000000,11300000,19600000,6400000, Approved
+1444,3, Not Graduate, Yes,9100000,29300000,2,508,19000000,5100000,31600000,11900000, Approved
+1445,5, Graduate, Yes,3400000,12300000,10,615,7000000,1600000,11400000,3500000, Approved
+1446,1, Graduate, Yes,1800000,4400000,8,689,3200000,2500000,3800000,1600000, Approved
+1447,1, Graduate, No,300000,1200000,18,747,100000,0,700000,200000, Rejected
+1448,1, Graduate, Yes,9000000,22800000,10,412,0,15600000,32000000,4700000, Rejected
+1449,1, Graduate, No,6400000,16900000,2,703,6300000,7300000,15900000,7400000, Approved
+1450,5, Not Graduate, No,5800000,22200000,16,884,1200000,4800000,19500000,8500000, Approved
+1451,5, Graduate, Yes,2600000,8600000,18,651,1000000,100000,7800000,2600000, Approved
+1452,4, Not Graduate, No,6600000,17300000,14,793,16700000,1400000,17500000,3900000, Approved
+1453,2, Not Graduate, No,6100000,21800000,4,407,9800000,100000,20200000,5800000, Approved
+1454,2, Not Graduate, No,4100000,11100000,8,390,800000,3100000,10100000,3400000, Rejected
+1455,3, Not Graduate, Yes,300000,1000000,12,469,600000,400000,700000,300000, Rejected
+1456,4, Graduate, No,4700000,10400000,6,373,6800000,8600000,14300000,5400000, Rejected
+1457,4, Graduate, Yes,1500000,5800000,2,304,2400000,1600000,3300000,1400000, Approved
+1458,5, Not Graduate, No,2700000,8300000,8,833,4600000,1300000,6800000,3300000, Approved
+1459,2, Graduate, No,6900000,20900000,2,302,18700000,10700000,26900000,9200000, Approved
+1460,0, Graduate, No,7600000,28700000,6,397,11000000,13200000,24600000,3800000, Rejected
+1461,1, Graduate, No,4100000,10000000,6,891,4900000,300000,12600000,3600000, Approved
+1462,3, Not Graduate, No,4100000,12200000,2,457,700000,500000,14100000,4900000, Rejected
+1463,4, Not Graduate, No,1600000,3200000,16,657,200000,100000,5700000,1200000, Approved
+1464,2, Not Graduate, Yes,400000,1400000,2,480,200000,700000,1600000,200000, Approved
+1465,5, Graduate, Yes,4400000,17300000,20,840,3600000,5100000,12900000,2300000, Approved
+1466,2, Not Graduate, Yes,3800000,8000000,12,866,6000000,600000,8400000,1900000, Approved
+1467,0, Not Graduate, No,4300000,17000000,8,619,4100000,6600000,17100000,3900000, Approved
+1468,1, Graduate, Yes,9000000,33500000,2,748,7900000,9800000,25700000,11500000, Approved
+1469,3, Not Graduate, Yes,9500000,25500000,12,881,27000000,14100000,21600000,8900000, Approved
+1470,2, Graduate, Yes,6900000,13900000,8,829,14300000,8100000,22400000,4600000, Approved
+1471,3, Not Graduate, No,4300000,11100000,6,312,4800000,3800000,10100000,3300000, Rejected
+1472,3, Not Graduate, No,6600000,21400000,10,467,15200000,6000000,20300000,5200000, Rejected
+1473,1, Graduate, Yes,5200000,14300000,18,650,5400000,2300000,17600000,3600000, Approved
+1474,3, Graduate, Yes,400000,1100000,6,711,100000,300000,1400000,100000, Approved
+1475,4, Not Graduate, No,1300000,4100000,18,886,2800000,500000,3800000,600000, Approved
+1476,5, Not Graduate, No,9700000,28400000,4,494,5300000,12000000,24400000,10000000, Rejected
+1477,2, Graduate, Yes,5400000,10900000,14,741,1300000,6000000,20400000,5600000, Approved
+1478,4, Not Graduate, No,1200000,3300000,12,876,400000,100000,3800000,1000000, Approved
+1479,0, Graduate, Yes,7000000,26400000,14,610,14300000,0,13900000,5300000, Approved
+1480,5, Graduate, No,7600000,26000000,6,778,12900000,2400000,25500000,10900000, Approved
+1481,5, Graduate, Yes,700000,1800000,14,571,200000,400000,1900000,400000, Approved
+1482,3, Graduate, Yes,7500000,25100000,18,554,12500000,7900000,28500000,4700000, Approved
+1483,0, Not Graduate, Yes,2300000,6200000,8,712,6800000,1700000,8800000,1500000, Approved
+1484,5, Not Graduate, Yes,5600000,11500000,4,695,9500000,7100000,11700000,7800000, Approved
+1485,0, Not Graduate, Yes,5400000,10900000,20,366,3700000,500000,21000000,4800000, Rejected
+1486,1, Not Graduate, Yes,1800000,5500000,10,426,5000000,1500000,5900000,1600000, Rejected
+1487,0, Not Graduate, No,2900000,6900000,10,320,5100000,500000,7700000,1500000, Rejected
+1488,3, Not Graduate, Yes,1400000,4600000,8,543,1500000,1200000,2700000,2000000, Rejected
+1489,2, Graduate, No,2800000,11000000,16,525,8200000,1800000,5800000,2400000, Rejected
+1490,0, Not Graduate, Yes,3300000,13100000,12,812,4800000,4900000,7500000,4300000, Approved
+1491,0, Not Graduate, No,7000000,25300000,14,697,15100000,10400000,14300000,6700000, Approved
+1492,1, Not Graduate, No,3900000,15100000,12,527,10600000,5100000,11100000,3800000, Rejected
+1493,1, Not Graduate, No,5700000,17200000,4,512,4300000,7000000,21400000,3000000, Approved
+1494,0, Graduate, No,4100000,9200000,4,671,3400000,6300000,10400000,4900000, Approved
+1495,1, Graduate, Yes,2200000,8700000,20,539,1000000,4000000,8200000,2600000, Rejected
+1496,5, Not Graduate, No,2200000,7200000,10,532,2700000,300000,7500000,1600000, Rejected
+1497,3, Not Graduate, Yes,2500000,7700000,16,485,2000000,3600000,5600000,3200000, Rejected
+1498,0, Not Graduate, Yes,900000,2100000,6,521,100000,1700000,2100000,700000, Rejected
+1499,1, Not Graduate, No,2900000,7400000,10,874,400000,1200000,10100000,3300000, Approved
+1500,2, Not Graduate, No,9800000,22900000,10,788,1300000,10300000,27200000,14000000, Approved
+1501,2, Not Graduate, No,5200000,14800000,12,659,11500000,5200000,18100000,4100000, Approved
+1502,1, Graduate, Yes,8600000,19600000,16,498,14800000,3000000,21000000,5300000, Rejected
+1503,2, Graduate, Yes,4800000,13200000,20,310,11800000,4600000,12900000,4200000, Rejected
+1504,0, Graduate, No,2000000,4700000,6,785,2900000,1800000,6700000,1700000, Approved
+1505,0, Graduate, No,3600000,8700000,10,309,6300000,1000000,8600000,3300000, Rejected
+1506,3, Not Graduate, Yes,5300000,19600000,2,433,14700000,9900000,10800000,3000000, Approved
+1507,1, Not Graduate, Yes,400000,1300000,18,801,100000,0,1500000,600000, Approved
+1508,3, Graduate, Yes,6500000,22400000,6,488,16800000,11700000,21700000,6800000, Rejected
+1509,0, Not Graduate, Yes,2300000,6000000,16,756,2900000,2100000,7500000,1200000, Approved
+1510,3, Graduate, No,1000000,2800000,4,757,2500000,100000,3800000,900000, Approved
+1511,5, Not Graduate, No,3200000,10100000,6,828,8500000,6000000,8700000,3000000, Approved
+1512,3, Graduate, Yes,3400000,7200000,12,733,4800000,2700000,8100000,2200000, Approved
+1513,0, Not Graduate, No,9600000,38200000,8,421,1600000,14100000,33600000,13800000, Rejected
+1514,3, Not Graduate, No,5300000,20300000,4,872,4300000,7300000,18400000,7600000, Approved
+1515,3, Graduate, No,4700000,17400000,10,393,12400000,5300000,18700000,5300000, Rejected
+1516,3, Graduate, No,9700000,37800000,12,700,13400000,6100000,25800000,11900000, Approved
+1517,5, Graduate, No,8800000,21600000,18,613,15400000,12100000,30000000,8400000, Approved
+1518,5, Graduate, No,5900000,13400000,6,455,3200000,11200000,21600000,6900000, Rejected
+1519,4, Graduate, Yes,2400000,7100000,16,871,7000000,300000,8500000,3500000, Approved
+1520,4, Graduate, Yes,7900000,21500000,16,497,2200000,5200000,23100000,7700000, Rejected
+1521,0, Graduate, No,1400000,2700000,2,649,2600000,1000000,5500000,1100000, Approved
+1522,0, Graduate, Yes,3500000,10000000,14,709,5300000,1800000,9200000,5000000, Approved
+1523,4, Graduate, No,3400000,13500000,12,705,10000000,1100000,8300000,4900000, Approved
+1524,2, Graduate, No,6100000,23600000,2,476,4600000,2900000,22500000,3800000, Approved
+1525,2, Not Graduate, Yes,3000000,7100000,4,819,5400000,4800000,6000000,2100000, Approved
+1526,5, Not Graduate, Yes,3400000,9400000,16,535,3100000,5600000,12900000,3200000, Rejected
+1527,0, Graduate, Yes,400000,1200000,14,889,1100000,200000,700000,200000, Approved
+1528,0, Graduate, No,5900000,11800000,12,468,9100000,10000000,17500000,6200000, Rejected
+1529,5, Graduate, Yes,400000,800000,2,759,100000,500000,1300000,300000, Approved
+1530,3, Graduate, Yes,9000000,33600000,2,426,21600000,16200000,20700000,11900000, Approved
+1531,0, Graduate, Yes,8800000,23600000,8,712,400000,11300000,19300000,11100000, Approved
+1532,4, Graduate, Yes,2000000,4700000,2,615,500000,100000,6700000,3000000, Approved
+1533,2, Graduate, No,4700000,14000000,12,784,13400000,2700000,14800000,6900000, Approved
+1534,4, Not Graduate, No,2700000,6100000,16,677,100000,3300000,6500000,3800000, Approved
+1535,1, Not Graduate, No,2600000,7900000,12,306,2000000,2400000,7600000,3300000, Rejected
+1536,1, Not Graduate, Yes,9000000,25400000,16,655,22000000,8800000,29100000,7200000, Approved
+1537,4, Not Graduate, No,5100000,19400000,8,755,2200000,300000,14900000,5300000, Approved
+1538,2, Graduate, No,6600000,25800000,18,598,3800000,3100000,16400000,5900000, Approved
+1539,2, Graduate, No,4400000,9800000,18,712,5400000,200000,8800000,6400000, Approved
+1540,4, Not Graduate, Yes,1500000,4600000,6,524,3700000,2000000,5000000,1400000, Rejected
+1541,1, Not Graduate, No,6200000,23100000,16,838,9100000,1400000,23500000,7000000, Approved
+1542,4, Graduate, Yes,900000,2900000,6,560,1500000,900000,3100000,900000, Approved
+1543,3, Not Graduate, No,7700000,26400000,12,759,3400000,2900000,21900000,10800000, Approved
+1544,2, Graduate, Yes,600000,2400000,6,454,100000,600000,2300000,300000, Rejected
+1545,4, Not Graduate, No,4300000,16500000,4,539,10600000,6100000,9300000,2100000, Approved
+1546,2, Not Graduate, Yes,8200000,27800000,16,827,11500000,8700000,26000000,10700000, Approved
+1547,0, Not Graduate, No,3500000,11900000,12,686,4400000,4800000,10100000,2500000, Approved
+1548,1, Graduate, Yes,9900000,34100000,14,371,24400000,7100000,29300000,6200000, Rejected
+1549,5, Graduate, No,700000,1900000,4,784,500000,1000000,2100000,600000, Approved
+1550,1, Graduate, Yes,2100000,7300000,16,826,1600000,3500000,7700000,1400000, Approved
+1551,2, Not Graduate, No,3200000,10500000,12,502,4300000,1500000,10000000,4500000, Rejected
+1552,0, Graduate, No,2900000,7800000,8,367,700000,3700000,7700000,3600000, Rejected
+1553,0, Not Graduate, No,7000000,18300000,6,541,6300000,6400000,20800000,8300000, Rejected
+1554,1, Graduate, No,3700000,13600000,16,608,400000,2200000,13400000,2800000, Approved
+1555,3, Not Graduate, Yes,4500000,13100000,12,570,10500000,2000000,10100000,5800000, Approved
+1556,3, Graduate, No,200000,800000,18,752,200000,200000,300000,200000, Approved
+1557,5, Not Graduate, Yes,5600000,20500000,8,873,5500000,9500000,19400000,7800000, Approved
+1558,5, Graduate, No,5400000,18600000,2,538,7700000,2700000,18800000,4000000, Approved
+1559,4, Not Graduate, No,300000,1000000,10,819,700000,300000,900000,200000, Approved
+1560,1, Graduate, Yes,7500000,29800000,18,770,1400000,5200000,28000000,8700000, Approved
+1561,5, Not Graduate, Yes,2500000,9600000,6,345,1900000,1900000,6800000,2600000, Rejected
+1562,4, Graduate, Yes,3100000,8100000,12,730,6300000,4500000,9000000,4500000, Approved
+1563,1, Graduate, Yes,7600000,19300000,20,835,5800000,2300000,22000000,8200000, Approved
+1564,3, Not Graduate, Yes,500000,1700000,2,811,500000,500000,1400000,200000, Approved
+1565,2, Not Graduate, No,2700000,5900000,14,662,3200000,1600000,7300000,3800000, Approved
+1566,2, Not Graduate, Yes,3500000,13300000,4,420,6400000,1700000,8000000,2300000, Approved
+1567,5, Not Graduate, No,3700000,11700000,4,413,8400000,5500000,12000000,2700000, Approved
+1568,2, Not Graduate, Yes,5600000,20000000,10,367,13700000,5000000,19100000,6000000, Rejected
+1569,5, Not Graduate, Yes,4800000,16400000,14,390,8400000,2400000,9500000,4000000, Rejected
+1570,4, Not Graduate, Yes,5200000,12200000,2,602,10300000,800000,20500000,7700000, Approved
+1571,3, Graduate, No,2900000,11500000,16,843,2300000,2600000,10700000,4300000, Approved
+1572,1, Graduate, No,2700000,6800000,20,713,500000,3300000,6100000,1900000, Approved
+1573,3, Graduate, No,5000000,16200000,8,591,1900000,3400000,14000000,5000000, Approved
+1574,2, Not Graduate, Yes,2700000,9400000,14,701,400000,3400000,9900000,1900000, Approved
+1575,4, Not Graduate, Yes,2800000,10000000,12,655,4900000,3600000,8500000,3300000, Approved
+1576,3, Not Graduate, Yes,7300000,20000000,18,720,15500000,9900000,23000000,9800000, Approved
+1577,0, Graduate, Yes,5900000,15100000,10,794,6000000,4300000,14900000,5400000, Approved
+1578,0, Graduate, No,8100000,21300000,2,392,14200000,6600000,31500000,11000000, Rejected
+1579,3, Graduate, Yes,1900000,7100000,6,583,400000,2800000,6500000,2000000, Approved
+1580,5, Graduate, No,1800000,6800000,18,457,2200000,1100000,3800000,1400000, Rejected
+1581,0, Not Graduate, Yes,7600000,17800000,14,570,15200000,12100000,21500000,9900000, Approved
+1582,1, Graduate, No,9100000,30100000,14,890,17800000,12400000,32500000,7500000, Approved
+1583,2, Not Graduate, Yes,5300000,12300000,14,472,10000000,1600000,20400000,3300000, Rejected
+1584,2, Not Graduate, No,3700000,10900000,12,788,1700000,700000,12200000,2600000, Approved
+1585,0, Not Graduate, No,9500000,35300000,6,605,10000000,12700000,31100000,7000000, Approved
+1586,3, Graduate, No,8300000,30500000,10,473,13300000,9400000,23300000,11800000, Rejected
+1587,5, Graduate, No,6400000,21500000,16,728,300000,5200000,17400000,9600000, Approved
+1588,5, Graduate, Yes,5300000,17800000,16,505,9200000,8500000,14600000,4100000, Rejected
+1589,0, Graduate, Yes,5600000,19300000,6,407,3400000,3600000,14200000,8400000, Rejected
+1590,1, Graduate, Yes,900000,1700000,18,464,1300000,0,1900000,700000, Rejected
+1591,0, Graduate, Yes,2400000,7200000,20,514,4100000,2100000,6700000,1800000, Rejected
+1592,1, Graduate, No,9500000,23000000,10,627,28500000,11500000,21700000,9100000, Approved
+1593,2, Not Graduate, Yes,7400000,14900000,20,627,15900000,10100000,19000000,10300000, Approved
+1594,4, Not Graduate, Yes,1500000,3200000,10,858,1500000,0,4700000,1700000, Approved
+1595,3, Graduate, Yes,8800000,30200000,8,607,13600000,12700000,21500000,5900000, Approved
+1596,5, Not Graduate, Yes,4900000,14300000,4,663,8500000,6100000,19600000,5500000, Approved
+1597,1, Not Graduate, Yes,8100000,26900000,6,522,23000000,2100000,18700000,4200000, Rejected
+1598,2, Not Graduate, Yes,2300000,9100000,20,610,3700000,600000,7800000,3400000, Approved
+1599,5, Not Graduate, Yes,3000000,6600000,16,462,5500000,3500000,9100000,3600000, Rejected
+1600,2, Not Graduate, Yes,3900000,9300000,8,591,10900000,2700000,9600000,3300000, Approved
+1601,4, Graduate, Yes,1700000,6500000,20,636,1700000,900000,6200000,2300000, Approved
+1602,0, Not Graduate, Yes,2100000,4900000,10,359,1000000,800000,6100000,1000000, Rejected
+1603,4, Graduate, Yes,9700000,25000000,4,542,9800000,12000000,29300000,13400000, Rejected
+1604,5, Not Graduate, Yes,3500000,11800000,4,642,2300000,2900000,11900000,3600000, Approved
+1605,5, Not Graduate, Yes,1500000,5500000,4,414,800000,1400000,2900000,1200000, Approved
+1606,3, Not Graduate, Yes,8800000,26200000,20,865,19300000,9800000,27700000,12500000, Approved
+1607,3, Graduate, No,900000,3100000,10,369,1400000,100000,1700000,500000, Rejected
+1608,0, Graduate, Yes,3500000,10800000,14,838,4700000,6800000,13900000,1700000, Approved
+1609,5, Not Graduate, No,5500000,21200000,4,582,12100000,8300000,17100000,3100000, Approved
+1610,5, Not Graduate, Yes,9800000,23200000,10,416,11000000,17300000,21600000,8500000, Rejected
+1611,5, Graduate, No,2100000,5500000,20,705,5400000,1400000,4600000,1200000, Approved
+1612,0, Graduate, No,1800000,5700000,18,306,500000,700000,5600000,1700000, Rejected
+1613,5, Graduate, Yes,5800000,13000000,8,851,6700000,8700000,17700000,4100000, Approved
+1614,5, Graduate, No,6700000,17200000,18,613,9700000,6800000,24600000,7100000, Approved
+1615,3, Graduate, No,4300000,16300000,10,366,6900000,6700000,12300000,5500000, Rejected
+1616,1, Graduate, No,1200000,2800000,12,431,900000,400000,2900000,900000, Rejected
+1617,5, Not Graduate, Yes,9700000,25900000,2,754,9000000,10000000,28500000,6700000, Approved
+1618,5, Graduate, Yes,5400000,11200000,10,447,300000,7900000,21400000,6000000, Rejected
+1619,1, Not Graduate, Yes,5300000,14100000,14,510,13300000,10400000,18900000,7800000, Rejected
+1620,1, Graduate, No,7300000,24200000,20,324,12900000,3700000,18400000,9000000, Rejected
+1621,5, Graduate, No,9500000,19200000,2,523,13500000,1500000,21000000,6700000, Rejected
+1622,0, Not Graduate, Yes,7200000,15600000,2,362,2700000,2400000,20800000,5900000, Rejected
+1623,3, Graduate, Yes,9000000,32900000,6,657,9900000,600000,29200000,12000000, Approved
+1624,5, Not Graduate, No,6500000,23300000,12,790,600000,9700000,15500000,9500000, Approved
+1625,1, Graduate, Yes,9500000,30500000,18,500,1300000,3300000,20500000,5500000, Rejected
+1626,2, Not Graduate, Yes,9900000,33200000,4,465,26300000,17000000,24400000,5000000, Approved
+1627,4, Not Graduate, No,2900000,8700000,6,409,3700000,5500000,8200000,2200000, Rejected
+1628,4, Graduate, Yes,700000,1800000,20,626,500000,600000,1400000,300000, Approved
+1629,5, Not Graduate, No,4200000,13400000,16,545,9800000,8200000,12500000,3500000, Rejected
+1630,3, Not Graduate, No,4200000,11400000,10,654,8800000,400000,16200000,5700000, Approved
+1631,0, Not Graduate, No,7600000,26500000,6,515,6200000,14900000,22000000,4000000, Rejected
+1632,2, Graduate, Yes,7100000,18800000,12,838,1100000,5200000,16600000,4900000, Approved
+1633,1, Not Graduate, Yes,4700000,16000000,14,406,4000000,5300000,14300000,3300000, Rejected
+1634,0, Graduate, Yes,9800000,23200000,10,573,23900000,3300000,23600000,14600000, Approved
+1635,0, Graduate, Yes,9800000,38700000,2,611,6600000,10400000,33000000,6000000, Approved
+1636,0, Not Graduate, No,5100000,13400000,16,649,6800000,1600000,15700000,3900000, Approved
+1637,0, Not Graduate, Yes,3300000,7700000,12,775,8200000,2100000,7400000,4200000, Approved
+1638,3, Graduate, No,4500000,12500000,12,469,4100000,7600000,14200000,3400000, Rejected
+1639,0, Graduate, Yes,3900000,12800000,18,587,4500000,5300000,12600000,5000000, Approved
+1640,3, Graduate, Yes,3200000,9900000,10,316,9100000,5500000,8800000,3600000, Rejected
+1641,2, Graduate, No,3200000,10400000,10,556,8200000,5600000,11500000,4500000, Approved
+1642,2, Not Graduate, No,9600000,31200000,12,578,9900000,2200000,26500000,13500000, Approved
+1643,2, Not Graduate, Yes,8700000,18900000,2,554,3900000,1900000,18000000,11500000, Approved
+1644,2, Not Graduate, Yes,1900000,6800000,6,892,2600000,2200000,6400000,900000, Approved
+1645,2, Not Graduate, Yes,2900000,10200000,10,315,8100000,400000,6500000,1600000, Rejected
+1646,0, Not Graduate, No,6200000,12900000,10,695,1900000,3700000,22200000,4200000, Approved
+1647,0, Not Graduate, No,5900000,20300000,4,806,300000,3700000,16400000,4800000, Approved
+1648,4, Not Graduate, Yes,3200000,12800000,8,638,4300000,2600000,8000000,3800000, Approved
+1649,1, Not Graduate, Yes,1300000,5000000,4,610,3400000,800000,4500000,900000, Approved
+1650,2, Not Graduate, Yes,1300000,3200000,4,810,3800000,2100000,4300000,800000, Approved
+1651,1, Graduate, No,8700000,33200000,4,866,19600000,15900000,23700000,10500000, Approved
+1652,3, Not Graduate, No,6300000,23800000,10,760,12700000,1300000,18400000,8800000, Approved
+1653,3, Graduate, No,4300000,11200000,6,556,11000000,4300000,14500000,5100000, Approved
+1654,3, Not Graduate, Yes,6400000,23500000,12,684,17200000,10300000,25300000,7400000, Approved
+1655,5, Not Graduate, Yes,7700000,25800000,18,578,5000000,7700000,27200000,10600000, Approved
+1656,2, Not Graduate, No,6900000,23900000,12,814,13000000,1900000,26600000,6000000, Approved
+1657,0, Not Graduate, No,4200000,14800000,20,510,9200000,5700000,11900000,2600000, Rejected
+1658,4, Not Graduate, No,3900000,9000000,2,674,8700000,5700000,14000000,3100000, Approved
+1659,0, Graduate, Yes,2000000,4900000,14,570,3800000,300000,6600000,1300000, Approved
+1660,1, Not Graduate, No,500000,1700000,2,680,700000,800000,1400000,700000, Approved
+1661,0, Graduate, No,3500000,8800000,12,803,5400000,300000,8400000,3400000, Approved
+1662,2, Not Graduate, Yes,3100000,10700000,16,357,9200000,1900000,7700000,3800000, Rejected
+1663,3, Not Graduate, Yes,4900000,19000000,4,575,14100000,9100000,16500000,4600000, Approved
+1664,1, Not Graduate, No,1000000,3600000,4,546,2500000,0,2600000,500000, Approved
+1665,2, Graduate, No,6700000,21400000,8,370,3200000,11800000,20100000,8600000, Rejected
+1666,1, Graduate, No,4100000,9400000,6,713,0,1000000,11100000,3100000, Approved
+1667,4, Not Graduate, Yes,1600000,3800000,2,896,1200000,400000,4800000,2000000, Approved
+1668,3, Graduate, Yes,2400000,9200000,14,626,300000,3600000,8500000,2000000, Approved
+1669,0, Graduate, No,2200000,6400000,4,854,900000,1600000,6500000,1300000, Approved
+1670,4, Graduate, No,3200000,8400000,18,802,400000,0,9100000,4700000, Approved
+1671,4, Not Graduate, Yes,1600000,4400000,20,382,1700000,300000,5200000,1900000, Rejected
+1672,2, Not Graduate, No,3900000,14900000,6,415,2200000,4300000,9500000,4600000, Rejected
+1673,5, Graduate, Yes,2000000,6300000,4,366,5300000,2200000,5400000,2800000, Approved
+1674,1, Graduate, Yes,7600000,25400000,10,595,7900000,400000,24900000,11000000, Approved
+1675,1, Not Graduate, No,9800000,21300000,2,356,23000000,12300000,25700000,14600000, Rejected
+1676,5, Not Graduate, No,7900000,29900000,6,568,5800000,13900000,15900000,8700000, Approved
+1677,1, Graduate, No,1600000,4000000,10,615,2200000,2700000,5500000,1400000, Approved
+1678,1, Graduate, Yes,6400000,13900000,12,313,18600000,6300000,18600000,4900000, Rejected
+1679,1, Graduate, Yes,6400000,17900000,6,575,6600000,7600000,23100000,5300000, Approved
+1680,4, Graduate, No,1600000,5500000,10,577,400000,1200000,4100000,1400000, Approved
+1681,0, Graduate, No,9200000,30700000,10,455,24900000,2000000,32900000,5200000, Rejected
+1682,1, Not Graduate, No,7800000,24900000,6,500,15300000,10000000,16500000,4500000, Rejected
+1683,1, Not Graduate, Yes,4000000,9400000,8,509,1000000,4100000,10800000,5500000, Rejected
+1684,2, Not Graduate, Yes,6100000,19400000,8,379,5300000,10800000,14300000,4100000, Rejected
+1685,5, Graduate, No,7100000,14500000,14,664,5300000,12900000,15700000,9200000, Approved
+1686,0, Not Graduate, Yes,2500000,9900000,6,623,6000000,1800000,6200000,1800000, Approved
+1687,5, Graduate, No,3200000,8700000,16,558,2600000,2500000,9100000,1800000, Approved
+1688,4, Graduate, No,1700000,4300000,18,580,1500000,2400000,6600000,1700000, Approved
+1689,4, Graduate, No,6300000,17600000,6,612,16000000,3300000,23500000,3200000, Approved
+1690,4, Graduate, Yes,700000,2400000,14,705,0,100000,2000000,700000, Approved
+1691,4, Graduate, Yes,1100000,2700000,18,301,2800000,1600000,3300000,1500000, Rejected
+1692,1, Not Graduate, Yes,8900000,32000000,16,711,4300000,1200000,22100000,5200000, Approved
+1693,3, Graduate, No,300000,700000,20,735,900000,200000,900000,400000, Approved
+1694,1, Not Graduate, No,2200000,5200000,14,682,2600000,600000,6100000,1800000, Approved
+1695,3, Not Graduate, No,3400000,13500000,10,348,7900000,3700000,8200000,4700000, Rejected
+1696,0, Graduate, Yes,7900000,23500000,20,750,16800000,15300000,21200000,4000000, Approved
+1697,3, Not Graduate, Yes,5800000,18200000,16,835,1000000,6100000,14600000,7900000, Approved
+1698,0, Graduate, Yes,9400000,20000000,6,389,16000000,7100000,19400000,10200000, Rejected
+1699,2, Graduate, No,4800000,18900000,4,866,10200000,6000000,13900000,5900000, Approved
+1700,3, Not Graduate, No,7600000,26600000,4,689,5300000,600000,24300000,8600000, Approved
+1701,0, Not Graduate, No,5900000,17600000,16,645,13000000,3100000,23400000,8600000, Approved
+1702,1, Graduate, Yes,4300000,10100000,2,797,4400000,4500000,16300000,4700000, Approved
+1703,5, Graduate, No,6100000,17800000,6,849,2900000,10900000,16100000,7800000, Approved
+1704,5, Graduate, No,5400000,19700000,20,423,6500000,10000000,15700000,7300000, Rejected
+1705,1, Not Graduate, Yes,5200000,11200000,2,370,9900000,10200000,16700000,6400000, Rejected
+1706,5, Not Graduate, No,8500000,31300000,12,378,21400000,13100000,30400000,8800000, Rejected
+1707,4, Not Graduate, No,900000,1900000,20,417,1000000,800000,2800000,900000, Rejected
+1708,1, Not Graduate, No,1400000,4100000,20,530,1200000,1100000,3000000,1900000, Rejected
+1709,1, Not Graduate, Yes,2400000,9300000,20,543,700000,800000,5000000,3400000, Rejected
+1710,4, Graduate, No,6300000,15000000,18,750,800000,6500000,15400000,7700000, Approved
+1711,1, Graduate, No,3100000,7600000,20,346,700000,4600000,8100000,4400000, Rejected
+1712,4, Graduate, Yes,6900000,19000000,14,330,9300000,7100000,18800000,8400000, Rejected
+1713,2, Not Graduate, Yes,3000000,7400000,10,712,5100000,1000000,11600000,3800000, Approved
+1714,0, Not Graduate, No,3100000,10100000,14,376,6400000,2600000,11600000,4300000, Rejected
+1715,4, Not Graduate, No,600000,1200000,14,338,500000,500000,2300000,500000, Rejected
+1716,4, Not Graduate, Yes,4700000,13700000,14,600,12100000,8400000,17700000,5000000, Approved
+1717,1, Graduate, No,2500000,6900000,20,495,4800000,3300000,5700000,3700000, Rejected
+1718,0, Graduate, No,9700000,30400000,4,300,17100000,16600000,38100000,9200000, Approved
+1719,4, Not Graduate, Yes,7600000,20000000,18,691,5000000,8700000,23400000,11200000, Approved
+1720,1, Graduate, No,8400000,24700000,8,519,12900000,16700000,17300000,6000000, Rejected
+1721,3, Graduate, Yes,3800000,15100000,20,540,9400000,1000000,9300000,3600000, Rejected
+1722,3, Not Graduate, Yes,3100000,11400000,16,562,3600000,3600000,7200000,3100000, Approved
+1723,2, Not Graduate, No,5700000,21300000,10,323,1600000,11200000,16200000,5100000, Rejected
+1724,1, Graduate, Yes,5500000,19700000,10,312,12800000,4800000,19500000,3300000, Rejected
+1725,1, Not Graduate, Yes,200000,600000,2,511,500000,100000,800000,200000, Approved
+1726,3, Not Graduate, Yes,3700000,13800000,10,621,4000000,800000,11900000,5300000, Approved
+1727,2, Not Graduate, Yes,1600000,4300000,20,512,3200000,2500000,6300000,900000, Rejected
+1728,4, Graduate, No,3900000,11000000,2,786,7900000,1600000,10700000,2100000, Approved
+1729,3, Not Graduate, Yes,700000,1600000,18,303,600000,500000,2000000,600000, Rejected
+1730,3, Graduate, Yes,5800000,16700000,18,633,8100000,8400000,14700000,3700000, Approved
+1731,4, Graduate, Yes,3800000,14000000,6,711,9500000,7300000,14500000,3100000, Approved
+1732,2, Graduate, No,6400000,16900000,16,472,11100000,6000000,16300000,4500000, Rejected
+1733,1, Graduate, Yes,5500000,12100000,4,350,6300000,9200000,17200000,6900000, Rejected
+1734,1, Not Graduate, Yes,6800000,13700000,10,879,500000,2600000,22000000,6800000, Approved
+1735,4, Not Graduate, No,6700000,13400000,10,436,3600000,1200000,23200000,7500000, Rejected
+1736,1, Graduate, Yes,5300000,11500000,14,848,1300000,3600000,14700000,5700000, Approved
+1737,2, Graduate, No,6600000,23200000,16,555,9900000,6500000,23300000,3300000, Approved
+1738,2, Graduate, No,6600000,13100000,20,885,10900000,4300000,20600000,6200000, Approved
+1739,0, Not Graduate, No,7600000,25200000,6,888,12700000,10900000,24500000,7500000, Approved
+1740,4, Not Graduate, Yes,2500000,6100000,20,478,5900000,800000,9500000,3200000, Rejected
+1741,4, Not Graduate, No,1100000,2500000,4,603,1900000,1400000,3900000,500000, Approved
+1742,1, Not Graduate, No,2300000,8200000,8,784,2000000,0,7600000,1100000, Approved
+1743,1, Graduate, Yes,3300000,11700000,4,682,3500000,5500000,12300000,1600000, Approved
+1744,4, Graduate, Yes,2600000,5900000,6,471,3500000,1900000,7300000,3400000, Rejected
+1745,4, Not Graduate, Yes,9300000,36700000,20,808,16500000,14700000,26500000,7100000, Approved
+1746,4, Not Graduate, No,5300000,18500000,8,470,2900000,9300000,14900000,4900000, Rejected
+1747,2, Not Graduate, No,5400000,13800000,20,574,900000,9200000,10900000,3700000, Approved
+1748,4, Not Graduate, Yes,3500000,12000000,8,314,7700000,100000,12600000,2700000, Rejected
+1749,2, Graduate, No,4200000,10200000,14,407,5900000,4500000,12000000,2500000, Rejected
+1750,0, Not Graduate, Yes,9200000,34900000,4,702,16900000,16000000,24100000,9800000, Approved
+1751,2, Graduate, No,4300000,9800000,2,499,4400000,4500000,12600000,5100000, Rejected
+1752,1, Graduate, Yes,7500000,19900000,10,669,1800000,8800000,18100000,7300000, Approved
+1753,5, Not Graduate, Yes,5400000,18800000,20,326,9700000,10100000,14800000,3200000, Rejected
+1754,3, Not Graduate, No,5500000,16200000,18,778,4700000,10700000,15300000,6100000, Approved
+1755,2, Not Graduate, Yes,2100000,4500000,2,787,4800000,2800000,6000000,2100000, Approved
+1756,0, Graduate, No,3700000,12300000,16,831,8000000,2200000,11200000,2400000, Approved
+1757,0, Graduate, No,8800000,32900000,18,576,1300000,8700000,32600000,5600000, Approved
+1758,5, Not Graduate, No,5800000,22800000,12,600,16000000,1100000,20700000,5700000, Approved
+1759,4, Graduate, No,7900000,30600000,2,569,7600000,3400000,20100000,7400000, Approved
+1760,1, Not Graduate, Yes,3100000,6300000,20,867,1900000,6100000,6600000,4000000, Approved
+1761,0, Not Graduate, No,4100000,14500000,12,441,9900000,300000,15700000,3900000, Rejected
+1762,2, Not Graduate, Yes,9800000,32700000,2,304,4700000,19000000,24500000,8600000, Approved
+1763,5, Not Graduate, No,3300000,8400000,18,520,500000,6300000,11000000,4000000, Rejected
+1764,0, Graduate, No,2000000,6200000,14,613,100000,1800000,5400000,1300000, Approved
+1765,2, Not Graduate, Yes,600000,1100000,8,885,700000,0,1200000,300000, Approved
+1766,4, Not Graduate, Yes,3600000,9500000,2,841,4900000,4400000,13500000,2100000, Approved
+1767,2, Not Graduate, No,7500000,29100000,20,815,12400000,9500000,25300000,9100000, Approved
+1768,5, Graduate, Yes,200000,400000,18,822,200000,300000,600000,300000, Approved
+1769,4, Not Graduate, No,9900000,29100000,18,772,24100000,19400000,26800000,11700000, Approved
+1770,5, Graduate, Yes,6100000,22500000,6,776,17600000,9900000,13800000,4800000, Approved
+1771,4, Not Graduate, Yes,3500000,10300000,10,337,9000000,5600000,10500000,4500000, Rejected
+1772,0, Not Graduate, Yes,7800000,19000000,12,333,15400000,14900000,30600000,9600000, Rejected
+1773,3, Not Graduate, Yes,8700000,29300000,4,312,9000000,2800000,30000000,4900000, Approved
+1774,2, Graduate, Yes,5500000,12400000,14,842,-100000,6800000,15800000,5800000, Approved
+1775,3, Graduate, Yes,1800000,5100000,8,790,100000,0,3700000,2000000, Approved
+1776,2, Graduate, No,8000000,31900000,16,806,19900000,1800000,23200000,5400000, Approved
+1777,5, Not Graduate, Yes,7500000,17000000,8,300,7800000,8300000,18900000,6700000, Rejected
+1778,5, Graduate, Yes,3700000,12000000,12,605,4900000,1800000,13200000,3100000, Approved
+1779,2, Graduate, Yes,1600000,4700000,12,582,1500000,1300000,5200000,1000000, Approved
+1780,5, Graduate, No,1300000,2700000,6,607,800000,1500000,4700000,1600000, Approved
+1781,5, Graduate, Yes,2400000,8200000,10,709,2100000,3700000,8800000,2800000, Approved
+1782,4, Graduate, Yes,4100000,11600000,14,854,500000,6900000,12700000,5700000, Approved
+1783,2, Not Graduate, Yes,7300000,15200000,20,776,14700000,9600000,26400000,4100000, Approved
+1784,1, Graduate, Yes,8000000,24600000,12,649,10800000,1600000,21800000,9200000, Approved
+1785,3, Not Graduate, No,7900000,28000000,4,394,22800000,13200000,18200000,3900000, Approved
+1786,4, Not Graduate, No,7200000,18900000,16,371,6600000,14100000,18900000,4900000, Rejected
+1787,3, Not Graduate, No,6200000,13200000,14,707,17200000,8900000,23100000,4200000, Approved
+1788,2, Not Graduate, Yes,5700000,18100000,20,491,6800000,100000,17700000,3900000, Rejected
+1789,0, Graduate, Yes,5800000,14100000,16,570,8200000,4200000,16400000,3700000, Approved
+1790,1, Not Graduate, No,900000,3500000,18,395,2500000,800000,3000000,1300000, Rejected
+1791,0, Not Graduate, Yes,2200000,7500000,10,497,2300000,2100000,5700000,1800000, Rejected
+1792,3, Not Graduate, Yes,1800000,5300000,14,440,2000000,100000,3700000,1000000, Rejected
+1793,0, Not Graduate, Yes,800000,2400000,16,825,700000,0,3100000,1100000, Approved
+1794,2, Graduate, Yes,7600000,18100000,14,320,14700000,2600000,28100000,8500000, Rejected
+1795,2, Graduate, Yes,4100000,13500000,4,846,8900000,7800000,11400000,2400000, Approved
+1796,3, Graduate, Yes,4600000,10900000,12,856,13500000,5100000,9400000,3300000, Approved
+1797,3, Graduate, No,2300000,6800000,10,418,2800000,2700000,6300000,1400000, Rejected
+1798,0, Not Graduate, Yes,8000000,21100000,6,306,16100000,11800000,28200000,8700000, Rejected
+1799,2, Not Graduate, Yes,3800000,14500000,16,567,2400000,2600000,10500000,3000000, Approved
+1800,2, Not Graduate, Yes,9500000,36800000,6,493,24100000,13800000,32100000,6200000, Rejected
+1801,2, Graduate, No,9300000,21200000,2,509,2800000,2600000,35800000,6600000, Rejected
+1802,4, Graduate, No,4700000,17000000,4,364,2900000,4600000,18800000,6200000, Approved
+1803,5, Not Graduate, No,6000000,24000000,20,639,300000,7300000,15100000,6600000, Approved
+1804,2, Graduate, Yes,5500000,21700000,2,309,11800000,1000000,21600000,7600000, Approved
+1805,0, Not Graduate, Yes,4600000,14800000,6,433,12100000,4600000,11100000,6700000, Rejected
+1806,5, Not Graduate, No,9900000,33600000,20,580,7000000,10800000,37400000,14700000, Approved
+1807,1, Graduate, Yes,6200000,16200000,4,888,-100000,12000000,24300000,4000000, Approved
+1808,4, Not Graduate, Yes,400000,1100000,6,644,1000000,300000,1600000,400000, Approved
+1809,1, Not Graduate, Yes,7800000,22200000,10,763,11200000,1400000,27000000,4900000, Approved
+1810,0, Graduate, Yes,2900000,10800000,20,694,6400000,200000,10600000,2100000, Approved
+1811,3, Not Graduate, No,500000,1200000,6,757,1300000,100000,1200000,600000, Approved
+1812,0, Not Graduate, No,2500000,6900000,12,471,7100000,4000000,5200000,1500000, Rejected
+1813,5, Not Graduate, No,9000000,35200000,2,437,18400000,17800000,18300000,10400000, Approved
+1814,4, Not Graduate, Yes,5200000,11400000,10,406,14700000,2000000,13000000,4400000, Rejected
+1815,5, Not Graduate, No,6000000,19700000,20,376,14700000,10700000,17100000,5500000, Rejected
+1816,1, Graduate, No,5100000,13800000,14,350,6200000,2200000,12600000,3600000, Rejected
+1817,5, Not Graduate, Yes,8000000,22500000,20,784,7600000,7300000,26000000,10800000, Approved
+1818,4, Graduate, Yes,9200000,25400000,14,765,21200000,6600000,25100000,5600000, Approved
+1819,4, Not Graduate, No,9800000,32200000,18,593,9500000,400000,34000000,14300000, Approved
+1820,3, Graduate, Yes,7600000,30000000,10,344,19000000,13700000,27600000,11100000, Rejected
+1821,1, Graduate, No,5100000,11800000,12,314,14700000,7600000,12400000,4900000, Rejected
+1822,4, Graduate, Yes,1500000,3300000,16,382,200000,2400000,3200000,1100000, Rejected
+1823,2, Not Graduate, Yes,6200000,16500000,4,510,14100000,4700000,18200000,6300000, Rejected
+1824,2, Graduate, Yes,6300000,24600000,8,464,7700000,2200000,13000000,6900000, Rejected
+1825,1, Graduate, Yes,5500000,14900000,2,403,7400000,8900000,19700000,4100000, Rejected
+1826,3, Not Graduate, No,8100000,30400000,12,606,900000,1100000,31900000,11600000, Approved
+1827,1, Graduate, No,6300000,22000000,20,646,9500000,7900000,13500000,5500000, Approved
+1828,1, Graduate, No,1100000,3600000,20,495,1600000,1100000,3100000,500000, Rejected
+1829,3, Not Graduate, Yes,7200000,21600000,2,626,10600000,1600000,26900000,3700000, Approved
+1830,1, Not Graduate, Yes,3000000,6000000,16,518,3800000,1700000,11600000,3900000, Rejected
+1831,5, Graduate, No,2700000,7600000,8,746,900000,2200000,7200000,3400000, Approved
+1832,0, Not Graduate, No,5000000,16300000,12,737,2600000,3400000,11800000,4400000, Approved
+1833,0, Not Graduate, No,8400000,22300000,14,371,8300000,3700000,22300000,9100000, Rejected
+1834,1, Graduate, No,7700000,27300000,8,509,10100000,2200000,20200000,10800000, Rejected
+1835,1, Graduate, No,4700000,14000000,2,411,4600000,5100000,10600000,3700000, Rejected
+1836,2, Not Graduate, No,4300000,11800000,20,701,11600000,4600000,14200000,3300000, Approved
+1837,5, Not Graduate, No,2500000,8800000,10,769,3700000,1600000,8200000,2700000, Approved
+1838,5, Not Graduate, Yes,4400000,12500000,6,740,8200000,2300000,9900000,5400000, Approved
+1839,5, Not Graduate, No,5700000,11600000,4,892,10200000,6100000,19800000,7400000, Approved
+1840,2, Not Graduate, No,5300000,13100000,14,417,4900000,6200000,18200000,6800000, Rejected
+1841,5, Graduate, No,4600000,14400000,6,785,6500000,6300000,14700000,6200000, Approved
+1842,3, Not Graduate, No,400000,1100000,16,504,200000,400000,800000,400000, Rejected
+1843,0, Not Graduate, No,2100000,5900000,14,402,4400000,0,4800000,1000000, Rejected
+1844,2, Graduate, Yes,1200000,3500000,16,540,3100000,1800000,3500000,800000, Rejected
+1845,2, Graduate, Yes,8000000,28400000,10,607,11400000,3800000,29000000,11600000, Approved
+1846,1, Graduate, Yes,5000000,19400000,10,410,11600000,6200000,11700000,4500000, Rejected
+1847,0, Not Graduate, No,8500000,17200000,12,624,6500000,8400000,18600000,5100000, Approved
+1848,4, Graduate, No,4600000,16600000,16,805,4800000,8000000,11500000,2800000, Approved
+1849,2, Graduate, No,4600000,16100000,18,709,7100000,9000000,13800000,5400000, Approved
+1850,2, Not Graduate, Yes,8500000,30900000,14,511,23300000,4400000,21900000,5500000, Rejected
+1851,1, Graduate, Yes,7800000,25100000,18,766,6900000,7200000,16600000,10200000, Approved
+1852,3, Not Graduate, Yes,1400000,3800000,16,451,3100000,1300000,4300000,1300000, Rejected
+1853,1, Not Graduate, Yes,3700000,10200000,4,447,300000,2000000,14500000,3200000, Rejected
+1854,3, Not Graduate, Yes,1000000,2500000,18,763,400000,1100000,2100000,1400000, Approved
+1855,5, Not Graduate, No,900000,3100000,20,834,1000000,900000,2100000,1300000, Approved
+1856,2, Graduate, No,5600000,19500000,8,429,6100000,2200000,21100000,7200000, Rejected
+1857,4, Not Graduate, No,3200000,10600000,16,693,7800000,4900000,10400000,1800000, Approved
+1858,1, Graduate, No,2900000,11100000,20,478,4200000,2900000,8500000,3000000, Rejected
+1859,2, Graduate, Yes,300000,800000,10,752,600000,300000,1000000,400000, Approved
+1860,0, Graduate, Yes,2400000,5900000,14,319,2000000,4200000,9500000,3300000, Rejected
+1861,3, Graduate, No,5000000,17600000,8,303,6300000,9600000,12800000,6900000, Rejected
+1862,3, Not Graduate, Yes,5000000,16700000,20,420,1100000,5000000,18700000,6900000, Rejected
+1863,2, Not Graduate, Yes,200000,600000,8,552,400000,200000,700000,200000, Approved
+1864,3, Not Graduate, Yes,6000000,16000000,12,606,2600000,11600000,19300000,7800000, Approved
+1865,2, Not Graduate, No,5600000,13700000,2,558,7500000,9300000,12100000,6700000, Approved
+1866,1, Not Graduate, No,4500000,12400000,6,504,12000000,3200000,13100000,2200000, Rejected
+1867,5, Not Graduate, Yes,200000,300000,8,412,-100000,100000,500000,100000, Rejected
+1868,4, Not Graduate, Yes,6200000,18300000,4,900,16900000,3400000,15300000,6400000, Approved
+1869,4, Not Graduate, Yes,9800000,23800000,8,634,12800000,9300000,37600000,6100000, Approved
+1870,5, Graduate, Yes,3900000,9000000,8,340,4900000,6800000,9000000,5200000, Rejected
+1871,3, Not Graduate, Yes,8300000,20900000,4,615,4400000,200000,19000000,9600000, Approved
+1872,2, Graduate, Yes,4900000,12200000,18,353,7000000,200000,14400000,3600000, Rejected
+1873,4, Graduate, Yes,6900000,16300000,8,606,5800000,900000,23700000,3600000, Approved
+1874,2, Not Graduate, No,4500000,14500000,18,498,7900000,200000,13500000,4800000, Rejected
+1875,4, Not Graduate, No,7500000,21900000,2,585,6800000,12200000,27500000,8100000, Approved
+1876,1, Not Graduate, Yes,2300000,6400000,8,578,3600000,1800000,7000000,3000000, Approved
+1877,1, Graduate, No,7400000,15500000,2,693,3000000,12800000,21800000,9300000, Approved
+1878,4, Graduate, No,4800000,14300000,6,795,5900000,0,11100000,2600000, Approved
+1879,1, Graduate, No,2600000,9900000,6,594,2900000,4300000,6700000,2500000, Approved
+1880,3, Not Graduate, Yes,2700000,10600000,8,840,500000,3000000,9000000,1900000, Approved
+1881,3, Not Graduate, No,3700000,10900000,16,301,7800000,2300000,9600000,3400000, Rejected
+1882,4, Graduate, Yes,2600000,9400000,18,481,2700000,4400000,8600000,2400000, Rejected
+1883,5, Not Graduate, Yes,8800000,23100000,16,531,20800000,2600000,22100000,8000000, Rejected
+1884,2, Not Graduate, No,7500000,15400000,8,332,8300000,3100000,23700000,5400000, Rejected
+1885,0, Graduate, No,4700000,18500000,4,516,1000000,8400000,10400000,6100000, Approved
+1886,2, Not Graduate, No,7100000,26600000,6,727,16500000,9800000,21100000,7900000, Approved
+1887,3, Not Graduate, Yes,5500000,19300000,10,344,14400000,1300000,12400000,6600000, Rejected
+1888,2, Graduate, No,9500000,31500000,12,650,17600000,16600000,22200000,11400000, Approved
+1889,3, Graduate, Yes,4200000,15400000,8,362,9900000,5300000,15500000,5600000, Rejected
+1890,5, Graduate, Yes,6900000,18600000,18,307,3500000,4800000,25300000,4200000, Rejected
+1891,5, Graduate, No,9900000,24600000,2,530,24200000,12800000,20400000,13000000, Rejected
+1892,5, Graduate, No,6700000,17700000,6,482,3200000,10400000,18500000,5700000, Rejected
+1893,0, Not Graduate, Yes,9300000,22200000,14,701,600000,10100000,35900000,5700000, Approved
+1894,2, Graduate, No,5600000,17200000,16,586,13700000,2100000,14300000,4300000, Approved
+1895,0, Graduate, Yes,8100000,17600000,16,384,15200000,13300000,31700000,10200000, Rejected
+1896,4, Not Graduate, No,6000000,18000000,18,882,6700000,2500000,12200000,7500000, Approved
+1897,5, Not Graduate, Yes,4200000,11200000,2,758,5300000,6500000,9600000,3800000, Approved
+1898,5, Graduate, No,1600000,4000000,18,529,300000,1200000,5300000,2000000, Rejected
+1899,3, Graduate, Yes,800000,1500000,2,589,1500000,1100000,1800000,400000, Approved
+1900,1, Graduate, No,500000,1300000,6,670,1000000,500000,1400000,700000, Approved
+1901,5, Not Graduate, Yes,4300000,14100000,12,532,12600000,5700000,12000000,4600000, Rejected
+1902,0, Not Graduate, No,4000000,12500000,18,868,11000000,800000,14400000,2300000, Approved
+1903,2, Not Graduate, No,2900000,7300000,2,776,8300000,3000000,8500000,3400000, Approved
+1904,5, Graduate, Yes,2300000,9100000,16,644,4000000,2600000,6600000,3100000, Approved
+1905,0, Graduate, Yes,1800000,6000000,12,658,2900000,2300000,4500000,2400000, Approved
+1906,1, Graduate, Yes,8700000,33900000,10,766,16300000,700000,19500000,9000000, Approved
+1907,3, Not Graduate, No,7800000,21100000,12,717,1200000,10700000,19900000,6200000, Approved
+1908,2, Graduate, No,3200000,6300000,10,339,300000,4900000,7300000,2700000, Rejected
+1909,0, Not Graduate, No,1600000,4500000,18,463,100000,2000000,4100000,1800000, Rejected
+1910,4, Not Graduate, No,2400000,7300000,4,540,2500000,300000,7800000,2200000, Approved
+1911,1, Graduate, No,1800000,5900000,16,804,800000,2500000,5000000,1000000, Approved
+1912,1, Graduate, No,7500000,16000000,10,541,16300000,4500000,22400000,5100000, Rejected
+1913,4, Not Graduate, Yes,6700000,18400000,10,371,1900000,1400000,15700000,4400000, Rejected
+1914,5, Graduate, No,5800000,13700000,6,369,10500000,2700000,12100000,3000000, Rejected
+1915,0, Not Graduate, No,500000,1800000,2,651,700000,0,1700000,200000, Approved
+1916,0, Graduate, Yes,9400000,30700000,10,477,17400000,900000,27500000,6200000, Rejected
+1917,4, Not Graduate, No,1600000,6200000,18,554,3200000,800000,5500000,1100000, Approved
+1918,0, Graduate, Yes,9300000,25000000,14,362,14900000,16100000,32300000,11000000, Rejected
+1919,5, Graduate, No,3700000,14000000,2,469,3800000,600000,8000000,2800000, Approved
+1920,3, Not Graduate, No,900000,1900000,12,547,2400000,400000,3000000,400000, Rejected
+1921,4, Not Graduate, No,500000,1300000,6,809,200000,300000,900000,500000, Approved
+1922,1, Graduate, Yes,7800000,16200000,2,335,4900000,7900000,28700000,6400000, Rejected
+1923,5, Not Graduate, Yes,5300000,13700000,18,708,7600000,900000,19200000,5900000, Approved
+1924,0, Graduate, No,300000,700000,16,779,200000,0,1000000,400000, Approved
+1925,0, Graduate, Yes,5000000,19900000,6,748,8300000,8500000,11300000,3000000, Approved
+1926,0, Graduate, No,7900000,28600000,18,541,400000,3900000,22300000,6700000, Rejected
+1927,4, Graduate, No,5300000,15800000,2,527,3800000,5200000,19700000,3900000, Rejected
+1928,0, Not Graduate, Yes,5500000,15300000,4,859,4600000,9500000,21400000,2900000, Approved
+1929,0, Graduate, No,1500000,5600000,18,604,2000000,2400000,4400000,1800000, Approved
+1930,5, Graduate, No,6600000,20100000,18,348,6900000,2500000,22500000,7200000, Rejected
+1931,4, Graduate, Yes,6200000,16200000,20,734,8800000,4000000,14600000,4400000, Approved
+1932,3, Graduate, No,6300000,17000000,16,388,11700000,2100000,16100000,3200000, Rejected
+1933,0, Graduate, Yes,3800000,8100000,20,831,6500000,1700000,7700000,2000000, Approved
+1934,5, Not Graduate, No,500000,1500000,6,433,-100000,700000,1900000,700000, Rejected
+1935,2, Graduate, Yes,5000000,15900000,16,699,8800000,5900000,18100000,7200000, Approved
+1936,0, Not Graduate, No,4500000,17100000,8,303,7400000,8200000,17400000,4200000, Rejected
+1937,4, Not Graduate, No,1000000,3800000,2,611,1700000,1800000,2500000,600000, Approved
+1938,2, Graduate, No,1700000,3700000,20,558,4100000,1400000,5000000,2500000, Approved
+1939,4, Graduate, Yes,1200000,4800000,2,752,2800000,900000,3000000,600000, Approved
+1940,5, Not Graduate, Yes,8500000,25800000,14,786,13900000,11000000,32400000,11300000, Approved
+1941,0, Graduate, No,8600000,29000000,18,481,21200000,2600000,27700000,5400000, Rejected
+1942,2, Graduate, No,400000,1300000,16,507,200000,200000,1500000,300000, Rejected
+1943,4, Graduate, No,8700000,19800000,14,715,13500000,13400000,32000000,8500000, Approved
+1944,0, Not Graduate, No,1800000,5700000,20,392,3800000,2400000,3500000,1400000, Rejected
+1945,0, Graduate, Yes,4700000,17700000,16,887,1300000,4900000,13200000,6700000, Approved
+1946,0, Not Graduate, No,7300000,21600000,2,479,17900000,12300000,15900000,7500000, Rejected
+1947,2, Graduate, No,8400000,32100000,20,328,16300000,4600000,19500000,8000000, Rejected
+1948,2, Graduate, Yes,4800000,12900000,8,740,9300000,900000,11000000,3700000, Approved
+1949,2, Graduate, No,9200000,34200000,2,456,12200000,11300000,25800000,5700000, Approved
+1950,1, Not Graduate, No,6200000,21100000,10,467,15600000,10500000,23500000,5300000, Rejected
+1951,0, Graduate, Yes,200000,700000,10,587,-100000,100000,500000,100000, Rejected
+1952,0, Not Graduate, Yes,2500000,6700000,16,569,4500000,3400000,6200000,1300000, Approved
+1953,3, Not Graduate, Yes,8000000,24400000,14,399,19100000,5400000,20600000,11600000, Rejected
+1954,1, Not Graduate, No,4600000,15200000,4,593,13800000,3800000,11700000,3900000, Approved
+1955,3, Not Graduate, Yes,4900000,12700000,8,409,2000000,2500000,19300000,4700000, Rejected
+1956,4, Not Graduate, No,9500000,21300000,18,353,22900000,2300000,21400000,11100000, Rejected
+1957,5, Graduate, Yes,4500000,11600000,20,306,4800000,1900000,11900000,5700000, Rejected
+1958,2, Graduate, Yes,5900000,14200000,12,499,9200000,11600000,20200000,4400000, Rejected
+1959,4, Graduate, No,4200000,14600000,6,324,6300000,5900000,11700000,3000000, Rejected
+1960,2, Not Graduate, Yes,3300000,11300000,6,647,5100000,6000000,12800000,4400000, Approved
+1961,2, Graduate, Yes,4900000,12600000,2,767,1100000,7400000,13000000,3800000, Approved
+1962,4, Not Graduate, No,5300000,10700000,12,821,15400000,10200000,17600000,2600000, Approved
+1963,4, Not Graduate, No,7200000,17700000,6,338,9900000,9300000,27800000,7200000, Rejected
+1964,0, Graduate, No,8400000,24300000,4,785,11900000,10100000,26600000,8500000, Approved
+1965,3, Graduate, No,3800000,11800000,4,694,0,500000,8300000,5100000, Approved
+1966,0, Not Graduate, No,9900000,22300000,20,613,28400000,8900000,23600000,4900000, Approved
+1967,4, Graduate, Yes,2900000,8300000,10,318,8700000,4100000,10900000,2100000, Rejected
+1968,3, Not Graduate, Yes,6000000,18700000,18,783,2800000,8500000,20300000,8800000, Approved
+1969,2, Not Graduate, No,1700000,5300000,20,761,2500000,500000,3700000,1200000, Approved
+1970,4, Graduate, Yes,5300000,12000000,10,329,15300000,9300000,17300000,6100000, Rejected
+1971,5, Not Graduate, Yes,7500000,15000000,14,661,12100000,5800000,29900000,4400000, Approved
+1972,4, Not Graduate, No,400000,900000,18,339,700000,200000,800000,200000, Rejected
+1973,1, Graduate, Yes,8300000,17700000,10,673,23700000,5300000,28700000,4200000, Approved
+1974,3, Graduate, No,4500000,16900000,18,748,8500000,7200000,15100000,6600000, Approved
+1975,3, Graduate, No,4600000,10000000,4,702,6800000,1500000,16100000,4500000, Approved
+1976,4, Not Graduate, No,4700000,10300000,12,710,7500000,7700000,16900000,6600000, Approved
+1977,0, Graduate, Yes,900000,3500000,6,331,2400000,1400000,3500000,1100000, Rejected
+1978,1, Not Graduate, No,2400000,7600000,12,372,5700000,4400000,6600000,1400000, Rejected
+1979,0, Not Graduate, Yes,3900000,9600000,10,783,9900000,2100000,10900000,3900000, Approved
+1980,0, Graduate, No,8300000,31400000,18,558,13300000,2900000,25900000,6300000, Approved
+1981,4, Graduate, Yes,4700000,13000000,6,552,5600000,8300000,11900000,2400000, Approved
+1982,4, Not Graduate, No,3900000,10600000,20,544,4100000,3100000,10900000,4900000, Rejected
+1983,2, Not Graduate, No,400000,1000000,6,425,800000,300000,800000,200000, Rejected
+1984,2, Not Graduate, Yes,1700000,5100000,18,321,2000000,2800000,5100000,1500000, Rejected
+1985,2, Graduate, Yes,6100000,15500000,8,758,8900000,4000000,13300000,7200000, Approved
+1986,5, Graduate, Yes,7300000,19600000,10,373,10400000,4700000,19500000,10600000, Rejected
+1987,3, Not Graduate, Yes,300000,500000,6,876,300000,100000,1100000,300000, Approved
+1988,2, Not Graduate, No,4300000,14500000,10,594,11400000,700000,14000000,5300000, Approved
+1989,3, Not Graduate, No,7000000,18400000,18,837,2800000,7900000,15400000,5700000, Approved
+1990,0, Not Graduate, Yes,4900000,16500000,4,600,11100000,2200000,12000000,6500000, Approved
+1991,4, Graduate, No,6200000,12400000,20,547,14200000,10800000,17200000,8000000, Rejected
+1992,1, Not Graduate, No,4100000,15800000,12,431,9700000,7300000,15200000,5700000, Rejected
+1993,0, Not Graduate, Yes,7300000,22600000,12,851,3300000,3400000,24800000,5300000, Approved
+1994,4, Not Graduate, Yes,9200000,28100000,12,760,23200000,9700000,22300000,12900000, Approved
+1995,0, Not Graduate, No,800000,2400000,2,716,700000,1200000,3100000,400000, Approved
+1996,4, Not Graduate, No,2900000,11200000,10,744,6600000,4000000,7300000,1600000, Approved
+1997,3, Not Graduate, No,8100000,21600000,4,740,22400000,3700000,16900000,9900000, Approved
+1998,0, Graduate, No,9300000,20300000,14,759,27000000,11600000,26500000,10900000, Approved
+1999,4, Graduate, Yes,9200000,29400000,14,517,4900000,0,33500000,10100000, Rejected
+2000,3, Not Graduate, Yes,3100000,6300000,18,895,2300000,3400000,10500000,4200000, Approved
+2001,3, Not Graduate, Yes,7000000,15400000,20,315,19900000,7600000,16400000,5900000, Rejected
+2002,4, Not Graduate, No,3900000,8800000,14,527,4600000,4900000,14900000,3100000, Rejected
+2003,3, Graduate, No,5500000,19800000,14,853,7300000,3000000,15500000,3100000, Approved
+2004,0, Graduate, No,6600000,13700000,20,747,3600000,2400000,23900000,6000000, Approved
+2005,2, Not Graduate, No,9900000,31600000,16,892,4200000,17500000,31400000,12700000, Approved
+2006,4, Graduate, Yes,6600000,20500000,8,856,18800000,5400000,15100000,9400000, Approved
+2007,3, Graduate, No,8600000,23600000,4,324,13800000,3800000,28500000,4300000, Rejected
+2008,5, Graduate, No,7900000,28600000,12,812,12100000,14400000,30000000,11700000, Approved
+2009,5, Graduate, Yes,6800000,22600000,2,804,3500000,12500000,18200000,9900000, Approved
+2010,4, Graduate, No,700000,1800000,8,874,1600000,1000000,1300000,300000, Approved
+2011,2, Not Graduate, Yes,3800000,10000000,12,516,2400000,4200000,14200000,5100000, Rejected
+2012,5, Graduate, Yes,6900000,18300000,4,402,12600000,13100000,23200000,6100000, Rejected
+2013,1, Graduate, Yes,3700000,12400000,12,330,3400000,1000000,10400000,2800000, Rejected
+2014,1, Graduate, No,7900000,24000000,12,867,20500000,10000000,30700000,9400000, Approved
+2015,4, Graduate, Yes,8800000,34200000,16,844,18700000,11000000,20700000,10700000, Approved
+2016,5, Not Graduate, Yes,3300000,7800000,8,310,3000000,3900000,8300000,4200000, Rejected
+2017,4, Not Graduate, No,5800000,14200000,20,535,10200000,4000000,21100000,3400000, Rejected
+2018,1, Graduate, Yes,7400000,29500000,16,323,10000000,4400000,29400000,8100000, Rejected
+2019,1, Graduate, No,8200000,25600000,4,686,2000000,5900000,17300000,4400000, Approved
+2020,0, Not Graduate, Yes,3300000,9600000,8,465,6100000,700000,9700000,2000000, Rejected
+2021,4, Graduate, Yes,5300000,10700000,12,547,1000000,10200000,11600000,5700000, Rejected
+2022,1, Not Graduate, No,5700000,19100000,12,649,9400000,10200000,16400000,4500000, Approved
+2023,2, Not Graduate, No,9000000,31000000,14,670,21300000,5400000,31100000,12900000, Approved
+2024,3, Graduate, No,5900000,14400000,10,408,2400000,5100000,23000000,3700000, Rejected
+2025,2, Not Graduate, No,5400000,11900000,6,303,15000000,9200000,15400000,6900000, Rejected
+2026,0, Graduate, No,9800000,34800000,14,497,3000000,2200000,23800000,9600000, Rejected
+2027,4, Graduate, Yes,9800000,34100000,14,740,6500000,16900000,27100000,5100000, Approved
+2028,4, Not Graduate, Yes,3800000,8200000,4,309,10900000,3900000,10200000,3300000, Rejected
+2029,0, Not Graduate, No,9500000,24400000,14,769,14400000,2400000,30800000,14200000, Approved
+2030,3, Graduate, Yes,2500000,7100000,6,420,3800000,3300000,8700000,3000000, Rejected
+2031,1, Graduate, No,1900000,6000000,20,540,1100000,1400000,4300000,1300000, Rejected
+2032,5, Graduate, Yes,4400000,10600000,20,806,9700000,3600000,10800000,2500000, Approved
+2033,4, Graduate, Yes,1400000,2900000,6,723,3800000,0,4700000,1600000, Approved
+2034,5, Not Graduate, Yes,3200000,11800000,16,565,8100000,2700000,9200000,1800000, Approved
+2035,1, Graduate, Yes,3100000,9200000,16,374,2400000,3500000,7100000,3500000, Rejected
+2036,4, Graduate, No,4500000,9900000,10,509,11100000,3100000,12200000,2700000, Rejected
+2037,3, Not Graduate, Yes,9300000,23500000,16,728,3500000,9900000,27300000,9800000, Approved
+2038,2, Graduate, No,6900000,18200000,20,396,15600000,4300000,22900000,5400000, Rejected
+2039,0, Not Graduate, Yes,3900000,8600000,2,667,4300000,6600000,13500000,2000000, Approved
+2040,5, Not Graduate, No,3200000,7400000,12,583,9400000,5500000,10600000,3600000, Approved
+2041,1, Not Graduate, Yes,5600000,21100000,10,459,9700000,1400000,13900000,8100000, Rejected
+2042,4, Not Graduate, Yes,3700000,11900000,18,635,6100000,6400000,11200000,4700000, Approved
+2043,3, Not Graduate, No,8400000,27200000,12,604,21400000,8800000,23700000,4700000, Approved
+2044,0, Not Graduate, Yes,4200000,8900000,14,796,3000000,1600000,13300000,4800000, Approved
+2045,4, Graduate, No,3800000,8500000,10,416,6200000,4800000,14900000,4100000, Rejected
+2046,3, Graduate, No,3200000,8200000,8,311,4900000,5600000,10700000,1600000, Rejected
+2047,1, Graduate, No,9700000,33900000,10,833,24600000,16200000,28300000,6600000, Approved
+2048,1, Not Graduate, Yes,4300000,9400000,6,543,7400000,5200000,14800000,4200000, Rejected
+2049,5, Graduate, Yes,8100000,20300000,18,751,1600000,7900000,31700000,7400000, Approved
+2050,5, Not Graduate, Yes,9400000,23200000,14,885,16900000,1200000,34900000,4700000, Approved
+2051,4, Not Graduate, Yes,8100000,19400000,6,346,7800000,9300000,29300000,4500000, Rejected
+2052,4, Graduate, No,6500000,14500000,4,588,10300000,9500000,22800000,6400000, Approved
+2053,2, Graduate, No,9400000,23100000,4,488,20100000,3500000,28600000,10900000, Rejected
+2054,1, Not Graduate, Yes,2600000,6600000,20,765,2100000,200000,5200000,1300000, Approved
+2055,3, Not Graduate, Yes,8000000,25600000,6,337,8800000,500000,18900000,9800000, Rejected
+2056,1, Graduate, No,4700000,9300000,8,515,1000000,4700000,14600000,5700000, Rejected
+2057,2, Graduate, Yes,7600000,22300000,12,555,2100000,13800000,17700000,7100000, Approved
+2058,1, Graduate, Yes,6800000,27200000,2,702,4600000,2400000,27100000,6300000, Approved
+2059,2, Not Graduate, Yes,6600000,17000000,2,457,100000,1800000,23300000,6700000, Rejected
+2060,2, Graduate, No,8200000,27200000,10,425,11400000,4900000,29300000,4500000, Rejected
+2061,1, Graduate, Yes,4400000,12300000,6,583,2400000,7900000,17200000,6600000, Approved
+2062,1, Not Graduate, No,8300000,29200000,6,877,13700000,9900000,31500000,9500000, Approved
+2063,0, Graduate, No,9200000,36500000,14,522,10500000,5300000,22400000,13200000, Rejected
+2064,5, Not Graduate, Yes,2700000,8700000,20,687,2600000,1200000,9000000,1300000, Approved
+2065,0, Graduate, No,6100000,23600000,20,856,3300000,5200000,17700000,6400000, Approved
+2066,4, Not Graduate, Yes,9100000,33000000,8,543,15700000,14400000,19500000,11200000, Rejected
+2067,5, Not Graduate, Yes,7600000,15400000,14,576,2300000,2800000,24500000,4700000, Approved
+2068,2, Not Graduate, No,7200000,17000000,10,856,18100000,12700000,15800000,6000000, Approved
+2069,0, Graduate, Yes,2600000,8200000,8,722,3500000,4200000,7100000,3200000, Approved
+2070,4, Graduate, Yes,6500000,20200000,12,653,18600000,1400000,23800000,6400000, Approved
+2071,5, Graduate, No,8900000,35500000,16,480,17200000,11300000,25200000,4900000, Rejected
+2072,2, Graduate, Yes,5400000,14300000,14,477,10200000,700000,11100000,5500000, Rejected
+2073,0, Graduate, No,300000,500000,2,885,200000,400000,700000,200000, Approved
+2074,0, Not Graduate, No,8400000,19600000,18,530,17000000,3600000,24200000,12300000, Rejected
+2075,3, Graduate, No,8300000,17200000,8,870,4700000,8800000,18300000,10000000, Approved
+2076,4, Not Graduate, No,1700000,5600000,8,395,2700000,800000,3500000,2400000, Rejected
+2077,2, Not Graduate, No,1500000,4200000,16,771,2500000,800000,5700000,1100000, Approved
+2078,1, Not Graduate, Yes,200000,500000,2,579,500000,100000,500000,100000, Approved
+2079,1, Graduate, Yes,1000000,3700000,14,798,2000000,200000,3800000,1400000, Approved
+2080,3, Not Graduate, Yes,8800000,25100000,8,473,17200000,600000,24400000,12400000, Rejected
+2081,0, Graduate, Yes,1000000,3200000,8,304,500000,600000,3700000,700000, Rejected
+2082,0, Not Graduate, Yes,8600000,23000000,14,678,18800000,16400000,22900000,12000000, Approved
+2083,5, Graduate, Yes,2400000,8900000,2,745,1700000,2000000,9200000,2100000, Approved
+2084,1, Graduate, No,2400000,8900000,8,835,2400000,1200000,5500000,1100000, Approved
+2085,5, Not Graduate, Yes,6000000,12100000,20,848,13900000,4800000,18000000,3600000, Approved
+2086,5, Not Graduate, No,7600000,16300000,18,872,5100000,1900000,20700000,5000000, Approved
+2087,3, Not Graduate, No,8000000,20100000,10,608,9800000,15500000,26100000,5200000, Approved
+2088,0, Graduate, Yes,5400000,19500000,16,758,2600000,2700000,18300000,6000000, Approved
+2089,0, Not Graduate, Yes,1400000,3700000,4,841,3000000,1000000,4600000,1000000, Approved
+2090,0, Not Graduate, Yes,800000,2600000,2,618,300000,1200000,2000000,500000, Approved
+2091,4, Graduate, Yes,300000,1100000,4,457,700000,100000,1100000,400000, Approved
+2092,0, Graduate, No,4100000,14400000,4,844,2700000,6000000,9900000,4200000, Approved
+2093,2, Not Graduate, No,1500000,3800000,4,776,2800000,0,5300000,1400000, Approved
+2094,1, Not Graduate, No,4600000,13900000,8,520,13300000,6400000,9800000,2200000, Rejected
+2095,1, Graduate, Yes,3300000,7500000,12,648,6400000,1700000,8700000,1600000, Approved
+2096,4, Not Graduate, Yes,7900000,31400000,10,654,16500000,15200000,25400000,5000000, Approved
+2097,0, Not Graduate, No,8100000,26500000,20,342,5800000,5600000,23700000,5800000, Rejected
+2098,5, Not Graduate, No,900000,2800000,16,808,2100000,900000,3100000,800000, Approved
+2099,1, Graduate, Yes,4900000,15200000,10,429,5700000,7300000,14400000,3300000, Rejected
+2100,3, Graduate, Yes,6100000,18100000,14,538,11800000,4200000,16200000,7500000, Rejected
+2101,3, Not Graduate, No,4500000,16400000,6,533,1800000,5600000,12200000,3900000, Rejected
+2102,2, Graduate, Yes,2900000,7300000,8,394,7700000,2600000,7700000,4000000, Rejected
+2103,1, Not Graduate, No,7900000,29300000,2,771,17600000,12800000,20400000,4000000, Approved
+2104,5, Graduate, Yes,4100000,10100000,4,792,4400000,6100000,8600000,4900000, Approved
+2105,5, Not Graduate, Yes,7700000,15500000,8,407,6500000,9100000,26300000,4600000, Rejected
+2106,0, Not Graduate, No,5600000,19300000,18,544,6400000,2800000,19900000,6400000, Rejected
+2107,5, Graduate, No,9000000,18000000,18,509,24600000,5200000,20000000,6100000, Rejected
+2108,4, Not Graduate, Yes,6400000,18400000,16,320,17700000,3600000,13900000,8300000, Rejected
+2109,4, Graduate, No,6900000,14700000,2,496,12000000,7000000,15500000,4000000, Rejected
+2110,3, Not Graduate, No,9100000,27400000,18,652,8500000,7300000,31700000,6800000, Approved
+2111,2, Graduate, Yes,1100000,3700000,2,806,2700000,800000,2900000,500000, Approved
+2112,4, Not Graduate, No,1700000,4500000,12,821,3200000,1900000,4900000,1500000, Approved
+2113,5, Graduate, Yes,9200000,28800000,20,618,14300000,10800000,33900000,10600000, Approved
+2114,2, Not Graduate, Yes,8300000,20600000,12,729,22400000,9000000,31400000,8400000, Approved
+2115,5, Not Graduate, Yes,5000000,10600000,6,839,12600000,8600000,19800000,3500000, Approved
+2116,3, Graduate, No,2200000,6400000,2,318,1400000,2100000,4300000,1500000, Rejected
+2117,2, Graduate, No,4500000,9600000,16,404,1800000,6000000,17000000,2700000, Rejected
+2118,5, Not Graduate, Yes,4100000,9000000,6,581,6600000,1500000,11300000,3400000, Approved
+2119,1, Not Graduate, No,2800000,6800000,18,596,7900000,400000,7300000,1500000, Approved
+2120,1, Not Graduate, No,6600000,20700000,4,415,12800000,11900000,17700000,3900000, Approved
+2121,3, Not Graduate, Yes,3200000,7200000,6,728,4800000,2000000,8000000,4600000, Approved
+2122,0, Not Graduate, No,6300000,13300000,2,666,8800000,4000000,14200000,4900000, Approved
+2123,2, Graduate, No,4700000,17700000,14,675,5800000,7200000,13100000,6500000, Approved
+2124,0, Graduate, No,4100000,15400000,16,304,3000000,5200000,16200000,3100000, Rejected
+2125,5, Graduate, Yes,7100000,15500000,4,474,7600000,9000000,22400000,9400000, Rejected
+2126,4, Graduate, Yes,4900000,10200000,18,370,10900000,2200000,13700000,6600000, Rejected
+2127,4, Graduate, No,5600000,20300000,20,596,5100000,10900000,12700000,7900000, Approved
+2128,4, Graduate, No,3400000,8300000,2,567,5700000,1900000,10200000,2700000, Approved
+2129,3, Not Graduate, No,4500000,16100000,16,671,10500000,3600000,12400000,5800000, Approved
+2130,2, Graduate, No,300000,800000,18,819,300000,300000,900000,400000, Approved
+2131,5, Not Graduate, Yes,7600000,23000000,10,829,3100000,7300000,17600000,7300000, Approved
+2132,5, Graduate, No,500000,1200000,12,454,1400000,500000,1000000,300000, Rejected
+2133,0, Graduate, Yes,5900000,15200000,16,399,15200000,3200000,12200000,6500000, Rejected
+2134,0, Graduate, No,7100000,20700000,10,784,9500000,11400000,27900000,8600000, Approved
+2135,2, Not Graduate, Yes,8500000,26900000,6,538,21300000,16400000,21500000,4600000, Rejected
+2136,0, Graduate, Yes,6400000,16900000,16,759,16200000,7100000,15200000,3100000, Approved
+2137,2, Graduate, No,7100000,21400000,12,699,11400000,13400000,22600000,4800000, Approved
+2138,5, Not Graduate, No,1800000,5400000,14,347,3800000,1300000,4900000,1700000, Rejected
+2139,3, Not Graduate, Yes,6600000,25200000,20,598,13100000,3600000,20700000,8600000, Approved
+2140,4, Graduate, Yes,8800000,27100000,2,406,16300000,6200000,26100000,5800000, Approved
+2141,2, Not Graduate, No,4800000,15800000,20,860,1700000,3300000,13400000,5100000, Approved
+2142,5, Graduate, Yes,4400000,16500000,10,806,3500000,4400000,11200000,2800000, Approved
+2143,0, Not Graduate, No,2000000,6900000,2,448,2700000,3800000,7100000,1600000, Approved
+2144,2, Graduate, No,6800000,22600000,20,393,2100000,2200000,20300000,8200000, Rejected
+2145,5, Not Graduate, Yes,6600000,16000000,12,811,13100000,5000000,14700000,5000000, Approved
+2146,2, Graduate, No,3300000,7900000,20,829,4800000,2100000,13200000,2600000, Approved
+2147,3, Not Graduate, No,7400000,23400000,16,700,19300000,3000000,20700000,8900000, Approved
+2148,0, Not Graduate, Yes,4500000,12400000,18,719,10300000,200000,9200000,3100000, Approved
+2149,1, Not Graduate, Yes,9500000,30500000,12,430,5400000,8000000,30800000,10500000, Rejected
+2150,1, Graduate, No,800000,3000000,4,338,900000,1000000,2600000,400000, Approved
+2151,2, Graduate, No,4000000,13000000,4,695,6400000,6900000,15400000,4300000, Approved
+2152,2, Not Graduate, No,7000000,25700000,18,374,3400000,13700000,14900000,4500000, Rejected
+2153,3, Graduate, No,3500000,8500000,18,609,7300000,0,12700000,2500000, Approved
+2154,3, Graduate, Yes,9700000,36000000,6,631,3500000,5500000,28500000,7500000, Approved
+2155,0, Not Graduate, No,3400000,10800000,6,439,5300000,1400000,11600000,1900000, Rejected
+2156,1, Graduate, Yes,4600000,13500000,20,837,5600000,7700000,11900000,2500000, Approved
+2157,4, Graduate, No,3800000,10400000,10,833,7500000,2500000,14100000,4200000, Approved
+2158,4, Not Graduate, Yes,4200000,9600000,20,863,7400000,900000,9100000,3400000, Approved
+2159,2, Graduate, No,2500000,8700000,4,684,0,600000,9700000,2600000, Approved
+2160,0, Not Graduate, Yes,7000000,24600000,6,542,6400000,2600000,24500000,4700000, Rejected
+2161,1, Not Graduate, No,5300000,11500000,8,753,10000000,4200000,14400000,3000000, Approved
+2162,0, Not Graduate, No,6400000,14200000,2,512,1600000,9200000,23100000,3500000, Rejected
+2163,3, Not Graduate, No,3400000,8100000,12,385,6100000,4000000,10700000,4000000, Rejected
+2164,4, Not Graduate, No,6700000,18800000,2,749,15600000,7900000,19900000,8600000, Approved
+2165,1, Not Graduate, Yes,4600000,10100000,4,618,2200000,100000,12900000,4300000, Approved
+2166,4, Graduate, Yes,900000,2500000,4,583,1300000,800000,1800000,1100000, Approved
+2167,0, Graduate, No,5100000,19900000,18,655,4400000,0,17100000,7100000, Approved
+2168,0, Not Graduate, Yes,7000000,20900000,20,380,11800000,10800000,21100000,6200000, Rejected
+2169,3, Graduate, Yes,4100000,14700000,6,679,6600000,3700000,10500000,5600000, Approved
+2170,2, Graduate, No,4600000,14800000,6,410,12900000,6800000,16100000,5800000, Rejected
+2171,2, Graduate, Yes,3600000,11500000,8,590,1600000,5200000,10900000,3000000, Approved
+2172,5, Graduate, No,5900000,13800000,14,397,12400000,600000,20400000,3000000, Rejected
+2173,2, Graduate, No,600000,2100000,16,425,900000,500000,2300000,300000, Rejected
+2174,0, Graduate, No,4900000,16400000,2,383,3300000,3500000,15000000,5800000, Approved
+2175,5, Graduate, Yes,6400000,23900000,6,406,14700000,12400000,25400000,4300000, Rejected
+2176,2, Graduate, No,7000000,19800000,10,563,3900000,9400000,22800000,8000000, Approved
+2177,3, Graduate, Yes,6700000,13400000,14,782,4900000,4000000,25800000,9600000, Approved
+2178,1, Not Graduate, Yes,800000,2200000,4,852,900000,200000,2200000,1000000, Approved
+2179,5, Not Graduate, No,7600000,27800000,2,753,18400000,12200000,16900000,8000000, Approved
+2180,5, Graduate, Yes,3200000,7600000,4,489,5000000,2900000,10600000,1900000, Rejected
+2181,2, Not Graduate, Yes,4900000,13800000,2,586,9900000,1400000,9900000,7000000, Approved
+2182,3, Not Graduate, No,7200000,20800000,16,560,2100000,10700000,21100000,3600000, Approved
+2183,3, Graduate, No,5600000,20600000,6,487,6400000,9700000,20200000,4100000, Rejected
+2184,4, Graduate, Yes,7300000,18300000,8,434,10000000,2900000,26800000,6700000, Rejected
+2185,4, Not Graduate, No,3300000,7000000,20,504,8200000,3200000,7300000,2500000, Rejected
+2186,2, Graduate, Yes,9200000,25300000,4,827,25900000,15900000,19300000,11000000, Approved
+2187,3, Not Graduate, Yes,8100000,23300000,20,657,15700000,2900000,28100000,6200000, Approved
+2188,5, Graduate, No,6600000,21400000,10,447,12700000,11100000,20200000,6400000, Rejected
+2189,0, Graduate, Yes,4200000,13600000,4,834,8700000,3400000,12000000,3100000, Approved
+2190,2, Graduate, No,5800000,21700000,8,354,12500000,2300000,12200000,6800000, Rejected
+2191,2, Graduate, Yes,5600000,21000000,18,883,9800000,1600000,20900000,6000000, Approved
+2192,0, Not Graduate, Yes,3600000,9900000,12,641,10300000,2400000,9100000,2700000, Approved
+2193,1, Graduate, Yes,7700000,16900000,6,621,22600000,7900000,27400000,10200000, Approved
+2194,0, Graduate, Yes,7800000,23300000,10,587,12500000,9300000,27500000,9700000, Approved
+2195,3, Not Graduate, No,5700000,15400000,16,424,4700000,3000000,16400000,5600000, Rejected
+2196,5, Graduate, No,6300000,20500000,14,515,4300000,3600000,18300000,9100000, Rejected
+2197,5, Not Graduate, Yes,2300000,4700000,18,592,1600000,3900000,6200000,2800000, Approved
+2198,4, Graduate, Yes,9600000,19900000,6,319,3200000,16500000,28100000,6600000, Rejected
+2199,1, Not Graduate, Yes,1000000,3900000,16,360,2500000,300000,2100000,600000, Rejected
+2200,5, Graduate, Yes,7200000,27100000,12,535,8400000,12800000,28100000,4800000, Rejected
+2201,2, Not Graduate, Yes,3800000,11400000,16,666,9000000,2400000,8000000,3800000, Approved
+2202,4, Not Graduate, Yes,9300000,24600000,16,419,18100000,0,26700000,5100000, Rejected
+2203,2, Not Graduate, Yes,7200000,21900000,12,640,0,11400000,14600000,3800000, Approved
+2204,0, Graduate, No,7600000,19700000,12,545,4300000,5200000,29500000,7300000, Rejected
+2205,4, Graduate, No,4500000,15300000,10,843,13200000,6900000,10800000,2200000, Approved
+2206,1, Not Graduate, Yes,9900000,30900000,20,559,12100000,6100000,38600000,12100000, Approved
+2207,0, Not Graduate, Yes,700000,2000000,18,650,400000,1300000,2800000,500000, Approved
+2208,0, Graduate, No,3500000,12300000,16,479,9700000,6000000,7900000,4700000, Rejected
+2209,1, Graduate, Yes,300000,1000000,14,324,100000,100000,1100000,100000, Rejected
+2210,5, Not Graduate, Yes,5400000,16700000,2,354,1100000,4500000,19300000,5200000, Approved
+2211,4, Not Graduate, Yes,2800000,8400000,10,521,1500000,1200000,9100000,3700000, Rejected
+2212,5, Not Graduate, Yes,4900000,15900000,8,505,12400000,4900000,14900000,6100000, Rejected
+2213,4, Not Graduate, No,600000,1700000,12,436,400000,0,1700000,700000, Rejected
+2214,0, Graduate, No,3000000,8100000,6,683,3200000,4900000,10200000,3200000, Approved
+2215,0, Graduate, No,1800000,5800000,18,348,2900000,700000,6700000,1000000, Rejected
+2216,4, Graduate, Yes,5100000,15700000,6,867,11200000,8300000,19200000,3600000, Approved
+2217,5, Graduate, No,1400000,4100000,14,880,3700000,1800000,2800000,2100000, Approved
+2218,2, Graduate, Yes,6700000,25500000,10,673,11100000,8600000,25100000,5000000, Approved
+2219,3, Not Graduate, No,4300000,12600000,18,482,9300000,900000,13200000,6100000, Rejected
+2220,3, Graduate, Yes,7800000,19600000,4,767,18100000,10500000,20500000,7700000, Approved
+2221,3, Not Graduate, No,5400000,15800000,18,760,12700000,2300000,16400000,7200000, Approved
+2222,0, Not Graduate, No,500000,1900000,2,857,1100000,500000,1800000,300000, Approved
+2223,1, Graduate, No,8600000,26700000,10,735,11800000,9100000,20700000,11200000, Approved
+2224,3, Graduate, No,2500000,9300000,4,810,2700000,3300000,9400000,3700000, Approved
+2225,4, Not Graduate, No,3000000,7200000,2,680,900000,3400000,9600000,1700000, Approved
+2226,5, Not Graduate, Yes,7000000,26900000,4,889,1400000,4200000,22400000,7400000, Approved
+2227,1, Not Graduate, Yes,400000,1500000,16,688,400000,300000,1200000,200000, Approved
+2228,5, Not Graduate, No,5200000,13700000,16,531,8800000,4500000,15700000,2900000, Rejected
+2229,3, Graduate, No,3300000,11100000,2,660,6500000,3700000,12300000,4500000, Approved
+2230,1, Not Graduate, Yes,2400000,8800000,18,414,3600000,2200000,7100000,2500000, Rejected
+2231,4, Graduate, Yes,5800000,15800000,14,528,6300000,100000,21400000,8700000, Rejected
+2232,4, Not Graduate, Yes,9400000,20000000,12,817,3600000,1600000,34400000,8000000, Approved
+2233,2, Not Graduate, No,6100000,15300000,2,799,7100000,5500000,17800000,5300000, Approved
+2234,1, Graduate, Yes,7500000,21400000,20,655,13000000,10300000,28100000,8100000, Approved
+2235,2, Not Graduate, No,4100000,16200000,6,546,3500000,3100000,15100000,3700000, Rejected
+2236,3, Not Graduate, No,8500000,30800000,14,745,11000000,8200000,19400000,7200000, Approved
+2237,0, Graduate, No,4300000,16900000,8,884,6500000,5400000,12000000,3700000, Approved
+2238,5, Not Graduate, No,9300000,22000000,4,822,20900000,10000000,24200000,12100000, Approved
+2239,4, Not Graduate, No,6000000,18700000,2,623,4300000,4000000,19100000,5700000, Approved
+2240,1, Not Graduate, Yes,5300000,18900000,16,361,300000,5000000,11900000,5500000, Rejected
+2241,5, Not Graduate, Yes,7400000,16200000,2,778,17000000,2700000,19400000,9200000, Approved
+2242,1, Not Graduate, Yes,1100000,3800000,8,779,600000,1800000,4000000,1600000, Approved
+2243,1, Graduate, Yes,6600000,20700000,4,594,4800000,200000,26400000,8900000, Approved
+2244,3, Graduate, No,8200000,28300000,2,530,15000000,10500000,20200000,12100000, Approved
+2245,3, Not Graduate, No,3300000,9300000,12,324,5300000,2600000,7500000,2000000, Rejected
+2246,4, Graduate, Yes,2500000,9000000,10,394,6700000,2000000,7300000,3000000, Rejected
+2247,3, Graduate, Yes,3300000,10400000,12,816,7100000,6300000,11800000,4900000, Approved
+2248,5, Not Graduate, No,1000000,2300000,16,423,1700000,700000,2900000,1400000, Rejected
+2249,5, Graduate, Yes,6200000,12800000,2,539,5600000,9800000,22300000,4800000, Rejected
+2250,1, Graduate, No,7000000,21000000,20,554,16900000,6600000,14600000,5600000, Approved
+2251,2, Graduate, Yes,7000000,19000000,6,523,5300000,9300000,25800000,9500000, Rejected
+2252,1, Not Graduate, Yes,5300000,12000000,10,852,400000,10400000,18900000,5000000, Approved
+2253,0, Not Graduate, Yes,1800000,3700000,2,505,3900000,2400000,4500000,1400000, Rejected
+2254,0, Graduate, Yes,2300000,7900000,10,430,6600000,2800000,8100000,1900000, Rejected
+2255,2, Graduate, No,4000000,9200000,16,784,3200000,600000,13000000,4900000, Approved
+2256,1, Not Graduate, No,8900000,24000000,6,380,16500000,7400000,27700000,7500000, Rejected
+2257,3, Graduate, No,8000000,18600000,20,565,1600000,8600000,22500000,9400000, Approved
+2258,4, Graduate, Yes,7900000,26900000,14,446,17900000,7300000,16500000,8200000, Rejected
+2259,5, Graduate, Yes,6700000,20200000,8,406,6900000,4900000,15300000,7100000, Rejected
+2260,4, Not Graduate, No,2400000,6000000,6,712,6800000,2200000,6000000,1200000, Approved
+2261,4, Not Graduate, No,8600000,22600000,14,729,300000,16200000,20500000,11900000, Approved
+2262,1, Not Graduate, Yes,5300000,14600000,20,508,11200000,2800000,17000000,4600000, Rejected
+2263,0, Graduate, No,7400000,24900000,20,648,7100000,7900000,23300000,6200000, Approved
+2264,0, Not Graduate, Yes,8700000,18700000,10,346,1200000,1800000,30700000,8200000, Rejected
+2265,5, Graduate, No,8200000,18500000,4,394,9600000,5700000,27400000,11100000, Rejected
+2266,0, Not Graduate, Yes,3700000,9700000,12,501,2600000,6600000,9200000,4600000, Rejected
+2267,5, Not Graduate, Yes,9200000,36300000,2,655,3000000,1200000,32200000,8700000, Approved
+2268,4, Not Graduate, No,6100000,20900000,4,662,10200000,7000000,23300000,4100000, Approved
+2269,2, Graduate, Yes,8800000,30800000,20,820,700000,4800000,25900000,12700000, Approved
+2270,5, Not Graduate, No,9200000,18900000,10,521,8300000,14500000,23400000,6900000, Rejected
+2271,3, Graduate, No,7200000,27900000,12,473,21100000,8800000,27800000,8700000, Rejected
+2272,1, Graduate, No,600000,1200000,10,561,900000,300000,1400000,600000, Approved
+2273,5, Graduate, No,8000000,23100000,20,461,5900000,2400000,29300000,7200000, Rejected
+2274,4, Graduate, Yes,6900000,13800000,16,715,2100000,6100000,20900000,8200000, Approved
+2275,0, Not Graduate, Yes,4300000,15600000,18,440,6200000,1300000,10000000,4700000, Rejected
+2276,3, Not Graduate, Yes,8500000,24900000,18,749,9600000,1200000,31700000,10100000, Approved
+2277,4, Not Graduate, No,8600000,17400000,2,787,11700000,10600000,18400000,10600000, Approved
+2278,3, Graduate, No,6300000,13900000,18,748,17700000,8800000,21700000,8600000, Approved
+2279,3, Not Graduate, Yes,5800000,13600000,12,321,1700000,3300000,22300000,3400000, Rejected
+2280,3, Graduate, Yes,1000000,2300000,10,303,1000000,400000,2500000,1000000, Rejected
+2281,0, Not Graduate, Yes,1700000,5400000,8,682,2400000,1000000,3900000,2100000, Approved
+2282,2, Not Graduate, No,3200000,8600000,18,638,1000000,4900000,8600000,3500000, Approved
+2283,0, Graduate, Yes,7500000,16600000,14,440,17200000,14500000,24100000,10300000, Rejected
+2284,1, Not Graduate, Yes,2000000,6600000,10,873,1400000,200000,6300000,2400000, Approved
+2285,3, Not Graduate, No,9100000,19700000,20,437,6300000,13700000,23700000,12900000, Rejected
+2286,4, Graduate, Yes,8400000,19700000,8,796,17900000,9200000,20200000,7700000, Approved
+2287,4, Graduate, No,7100000,27200000,16,824,2400000,8000000,22400000,3900000, Approved
+2288,2, Not Graduate, No,200000,800000,6,338,100000,0,400000,100000, Rejected
+2289,0, Not Graduate, Yes,5000000,14900000,12,575,12800000,1500000,12300000,6600000, Approved
+2290,0, Not Graduate, Yes,4500000,16900000,8,773,6300000,6800000,14000000,6000000, Approved
+2291,2, Not Graduate, Yes,5100000,19700000,2,733,0,4500000,12900000,6200000, Approved
+2292,3, Graduate, Yes,4100000,10600000,14,475,5400000,4300000,13900000,4500000, Rejected
+2293,1, Not Graduate, No,7200000,15000000,10,677,10600000,3900000,24500000,4100000, Approved
+2294,3, Not Graduate, No,7800000,17700000,6,403,12600000,3700000,24700000,10000000, Rejected
+2295,3, Graduate, Yes,7500000,25300000,12,767,13200000,10800000,19400000,9600000, Approved
+2296,3, Graduate, Yes,6400000,21000000,2,813,3900000,10900000,20500000,4400000, Approved
+2297,4, Graduate, No,7000000,25700000,20,597,19900000,13500000,27500000,10100000, Approved
+2298,4, Not Graduate, Yes,9000000,31100000,8,896,7100000,4400000,23400000,13100000, Approved
+2299,2, Not Graduate, Yes,4400000,13900000,6,810,13200000,4200000,15000000,5200000, Approved
+2300,2, Not Graduate, No,900000,2000000,14,337,1700000,0,2100000,600000, Rejected
+2301,1, Graduate, No,9800000,26900000,18,792,15900000,14100000,25200000,11900000, Approved
+2302,4, Not Graduate, No,600000,1600000,6,784,300000,100000,1900000,500000, Approved
+2303,5, Graduate, Yes,9700000,30100000,12,434,19600000,17900000,21000000,6900000, Rejected
+2304,2, Graduate, Yes,8400000,32600000,10,384,13900000,1600000,21600000,7000000, Rejected
+2305,1, Graduate, No,8300000,24900000,10,642,11500000,15400000,21600000,5800000, Approved
+2306,4, Graduate, No,7900000,29900000,8,314,22000000,4600000,26000000,8100000, Rejected
+2307,1, Not Graduate, No,8600000,25900000,2,606,3700000,14900000,32700000,12200000, Approved
+2308,5, Not Graduate, Yes,6700000,17600000,14,843,12700000,200000,19500000,5600000, Approved
+2309,0, Graduate, No,2700000,7400000,10,778,6800000,800000,5600000,2800000, Approved
+2310,0, Not Graduate, No,6600000,25600000,8,718,12600000,12200000,21700000,9000000, Approved
+2311,1, Graduate, Yes,7100000,20800000,20,437,9600000,7300000,24700000,8800000, Rejected
+2312,5, Graduate, Yes,300000,700000,10,586,0,400000,1000000,100000, Approved
+2313,2, Graduate, No,2200000,7000000,6,777,6100000,400000,4400000,3300000, Approved
+2314,1, Graduate, Yes,8700000,31700000,12,525,7800000,10200000,30300000,6100000, Rejected
+2315,4, Graduate, No,7200000,23100000,12,632,4600000,8500000,19400000,4400000, Approved
+2316,0, Not Graduate, No,2000000,4800000,20,337,1300000,2200000,5500000,1700000, Rejected
+2317,4, Graduate, Yes,8600000,27900000,8,458,22400000,1800000,34000000,11700000, Rejected
+2318,2, Graduate, Yes,2300000,5400000,8,364,4500000,500000,7000000,2000000, Rejected
+2319,2, Not Graduate, Yes,9600000,29800000,16,499,28500000,6300000,31800000,7400000, Rejected
+2320,2, Graduate, Yes,1900000,6500000,16,887,2000000,1200000,4500000,1700000, Approved
+2321,1, Graduate, No,2100000,6300000,16,882,3900000,2200000,7700000,2900000, Approved
+2322,1, Not Graduate, Yes,3900000,8700000,8,817,900000,2500000,10700000,2100000, Approved
+2323,5, Not Graduate, Yes,200000,300000,10,704,500000,100000,800000,200000, Approved
+2324,1, Not Graduate, Yes,1900000,4500000,12,742,1200000,2000000,4400000,1200000, Approved
+2325,0, Not Graduate, Yes,3200000,11600000,4,393,4700000,300000,8000000,3100000, Approved
+2326,0, Not Graduate, No,1100000,4300000,18,828,700000,800000,2900000,900000, Approved
+2327,5, Graduate, Yes,8000000,21500000,12,779,2600000,15100000,29800000,10400000, Approved
+2328,4, Graduate, Yes,6100000,21700000,6,860,13900000,900000,14100000,5600000, Approved
+2329,5, Graduate, No,3200000,10600000,2,432,6500000,3700000,11200000,3700000, Approved
+2330,4, Graduate, Yes,9000000,30400000,20,532,21000000,7400000,30500000,13100000, Rejected
+2331,0, Not Graduate, Yes,1200000,3200000,2,678,1500000,1000000,3400000,900000, Approved
+2332,3, Graduate, No,7900000,27000000,6,601,17700000,7800000,27600000,11500000, Approved
+2333,3, Graduate, Yes,7700000,23100000,8,807,2900000,9800000,20400000,7000000, Approved
+2334,2, Not Graduate, No,4400000,16500000,16,879,7800000,7500000,10300000,5400000, Approved
+2335,1, Not Graduate, No,3100000,11200000,18,665,2000000,5400000,12000000,2500000, Approved
+2336,5, Not Graduate, Yes,2600000,9300000,16,697,5100000,1200000,7700000,3700000, Approved
+2337,4, Graduate, No,5500000,21700000,14,867,5000000,8700000,15200000,3100000, Approved
+2338,1, Graduate, No,5700000,15500000,8,544,10500000,8700000,20900000,7000000, Rejected
+2339,5, Graduate, No,6100000,20700000,20,482,9400000,2000000,16900000,5900000, Rejected
+2340,2, Graduate, No,8200000,22500000,18,857,13400000,14300000,28400000,8400000, Approved
+2341,1, Graduate, No,6000000,21200000,12,549,17900000,8200000,16900000,6200000, Rejected
+2342,1, Graduate, Yes,8000000,30600000,10,720,23700000,8500000,24900000,9700000, Approved
+2343,4, Not Graduate, No,2000000,4800000,8,302,1500000,800000,4000000,2600000, Rejected
+2344,5, Graduate, Yes,1300000,2900000,12,669,400000,1700000,3900000,1800000, Approved
+2345,1, Graduate, No,7000000,27100000,6,591,6700000,12200000,21500000,4900000, Approved
+2346,3, Graduate, No,4100000,15300000,6,440,7500000,5100000,8200000,2000000, Rejected
+2347,3, Graduate, No,8000000,26200000,16,890,15800000,4300000,25000000,4000000, Approved
+2348,4, Not Graduate, No,8100000,28000000,8,663,8800000,11300000,26000000,5500000, Approved
+2349,4, Graduate, Yes,9500000,22600000,14,433,10000000,900000,23100000,13400000, Rejected
+2350,0, Graduate, No,9200000,22500000,10,317,14200000,17400000,28500000,10700000, Rejected
+2351,2, Graduate, No,3900000,14700000,16,360,2600000,200000,8300000,2900000, Rejected
+2352,1, Graduate, No,9100000,26200000,8,727,20800000,7100000,27800000,8900000, Approved
+2353,3, Graduate, Yes,3000000,8300000,4,685,2900000,5400000,11300000,3800000, Approved
+2354,4, Graduate, No,2000000,4300000,8,373,2000000,2700000,7700000,2200000, Rejected
+2355,5, Graduate, No,6300000,14600000,8,469,13300000,10100000,24500000,3800000, Rejected
+2356,3, Not Graduate, Yes,4100000,10900000,8,548,8800000,5200000,13200000,4300000, Rejected
+2357,0, Not Graduate, No,9800000,29400000,20,618,1200000,14600000,33800000,8300000, Approved
+2358,2, Graduate, No,5200000,15400000,8,658,1200000,7500000,12800000,3200000, Approved
+2359,3, Graduate, No,7600000,28700000,18,781,21300000,12400000,29600000,8000000, Approved
+2360,3, Not Graduate, No,9200000,35500000,2,715,11100000,11800000,19800000,11700000, Approved
+2361,5, Not Graduate, No,2200000,8100000,4,409,300000,0,4900000,2400000, Rejected
+2362,2, Not Graduate, Yes,8300000,20600000,10,504,100000,900000,33200000,6700000, Rejected
+2363,3, Graduate, Yes,6100000,21600000,16,428,2900000,6100000,15100000,7200000, Rejected
+2364,2, Graduate, No,4500000,16600000,20,704,6400000,4200000,16900000,2400000, Approved
+2365,3, Not Graduate, No,6600000,18800000,12,834,18800000,9300000,13700000,4800000, Approved
+2366,4, Not Graduate, No,8900000,34900000,14,694,15400000,2800000,20600000,9100000, Approved
+2367,4, Graduate, Yes,3900000,13300000,20,453,9800000,500000,12300000,4700000, Rejected
+2368,3, Graduate, Yes,8900000,35400000,14,404,22300000,7700000,26400000,5900000, Rejected
+2369,5, Not Graduate, No,6400000,22300000,12,776,500000,9100000,24100000,5800000, Approved
+2370,1, Not Graduate, Yes,9500000,28700000,16,526,24600000,4900000,31800000,6600000, Rejected
+2371,3, Graduate, Yes,300000,1000000,8,641,700000,200000,1100000,200000, Approved
+2372,5, Not Graduate, No,4100000,12300000,6,582,10900000,6100000,14100000,3500000, Approved
+2373,2, Graduate, No,8100000,20800000,18,778,4100000,15500000,16700000,10600000, Approved
+2374,4, Graduate, No,9900000,28400000,10,763,23700000,12700000,35800000,5800000, Approved
+2375,0, Not Graduate, No,4800000,19000000,12,650,7000000,1000000,15600000,4800000, Approved
+2376,0, Graduate, Yes,2900000,9700000,2,820,6700000,1600000,9100000,3900000, Approved
+2377,1, Not Graduate, Yes,3500000,13500000,12,824,8400000,3900000,11600000,4100000, Approved
+2378,1, Not Graduate, Yes,4900000,12600000,4,718,11800000,7300000,11800000,3800000, Approved
+2379,2, Not Graduate, Yes,5100000,13300000,14,313,5900000,7900000,18000000,3900000, Rejected
+2380,5, Graduate, No,7300000,26200000,10,751,1400000,12200000,26700000,10400000, Approved
+2381,0, Graduate, Yes,200000,300000,18,520,100000,300000,600000,100000, Rejected
+2382,2, Graduate, No,1400000,4700000,4,355,2100000,600000,4400000,1400000, Approved
+2383,3, Graduate, Yes,8700000,33600000,14,314,7700000,10000000,21700000,6200000, Rejected
+2384,1, Not Graduate, Yes,2800000,5900000,20,728,1000000,3200000,10300000,1400000, Approved
+2385,3, Graduate, Yes,9100000,30100000,14,564,26600000,7300000,22700000,8200000, Approved
+2386,0, Not Graduate, Yes,6800000,15300000,14,699,19900000,2600000,13900000,8300000, Approved
+2387,0, Not Graduate, Yes,5000000,17000000,6,624,6700000,6200000,15400000,5900000, Approved
+2388,0, Graduate, Yes,4400000,16800000,14,795,8700000,8700000,12600000,3400000, Approved
+2389,5, Not Graduate, Yes,8400000,18600000,20,703,2500000,7100000,28800000,9500000, Approved
+2390,4, Graduate, No,7800000,17300000,4,394,3600000,13100000,24300000,7200000, Rejected
+2391,4, Graduate, Yes,4800000,9900000,14,779,5200000,9300000,18600000,2900000, Approved
+2392,1, Graduate, No,3200000,8800000,4,405,1000000,2600000,10700000,3400000, Rejected
+2393,5, Graduate, Yes,2300000,6700000,16,612,6700000,3300000,8800000,2000000, Approved
+2394,5, Not Graduate, Yes,9200000,28100000,10,448,22300000,3300000,33200000,10700000, Rejected
+2395,2, Not Graduate, Yes,4700000,13700000,6,506,1300000,7900000,16700000,3500000, Rejected
+2396,0, Not Graduate, Yes,8000000,30400000,2,776,16600000,1400000,29100000,7800000, Approved
+2397,1, Graduate, Yes,2600000,8600000,6,730,800000,2900000,6000000,3100000, Approved
+2398,3, Not Graduate, No,200000,800000,20,730,0,300000,400000,300000, Approved
+2399,5, Graduate, No,7300000,17200000,2,345,6100000,8400000,23200000,4900000, Rejected
+2400,4, Not Graduate, No,3300000,11800000,2,847,7800000,2400000,12100000,3000000, Approved
+2401,4, Not Graduate, No,8300000,23300000,20,398,18500000,11500000,17100000,9900000, Rejected
+2402,5, Not Graduate, Yes,4100000,9600000,2,307,8800000,7800000,8500000,3100000, Rejected
+2403,1, Not Graduate, No,7300000,23700000,16,852,9400000,6800000,22600000,8500000, Approved
+2404,1, Not Graduate, No,9300000,27500000,6,364,12200000,13800000,25300000,10800000, Rejected
+2405,2, Graduate, Yes,4300000,15200000,12,552,3400000,2100000,12700000,4800000, Approved
+2406,3, Not Graduate, No,2600000,8100000,2,421,4200000,3100000,6200000,2500000, Approved
+2407,5, Graduate, No,2900000,9800000,12,588,5900000,2300000,6800000,2900000, Approved
+2408,2, Graduate, Yes,900000,3500000,6,763,2300000,300000,2000000,600000, Approved
+2409,3, Not Graduate, Yes,4900000,17500000,20,823,12600000,8700000,14300000,4800000, Approved
+2410,0, Graduate, No,7700000,24800000,10,642,16800000,10700000,27400000,4500000, Approved
+2411,1, Graduate, No,4700000,16800000,12,647,10400000,8300000,10600000,3400000, Approved
+2412,5, Not Graduate, No,3000000,8900000,20,886,2600000,1000000,10600000,2800000, Approved
+2413,4, Not Graduate, No,9700000,26200000,4,518,26200000,0,22500000,14000000, Rejected
+2414,0, Graduate, Yes,6900000,26800000,20,515,10800000,2500000,16700000,8300000, Rejected
+2415,2, Not Graduate, Yes,3800000,12400000,8,340,1800000,2600000,9700000,2600000, Rejected
+2416,3, Not Graduate, Yes,600000,1700000,14,521,0,1000000,1700000,600000, Rejected
+2417,2, Not Graduate, Yes,1200000,2900000,12,330,400000,1600000,3800000,600000, Rejected
+2418,4, Not Graduate, Yes,7800000,26800000,2,474,8900000,11200000,18400000,5600000, Approved
+2419,0, Not Graduate, No,9000000,35100000,6,898,500000,16200000,20700000,9100000, Approved
+2420,1, Not Graduate, No,2800000,9100000,12,436,3600000,500000,7800000,3600000, Rejected
+2421,1, Not Graduate, No,7800000,21300000,10,326,22800000,10700000,18500000,4500000, Rejected
+2422,4, Graduate, Yes,4700000,9500000,18,876,11800000,6600000,18000000,4100000, Approved
+2423,2, Graduate, No,4600000,17500000,20,597,11400000,6100000,14100000,4100000, Approved
+2424,4, Graduate, No,5100000,16100000,14,436,11400000,2700000,13100000,6700000, Rejected
+2425,3, Not Graduate, Yes,6100000,22800000,18,640,16800000,7300000,19600000,6000000, Approved
+2426,0, Not Graduate, No,6000000,22900000,16,302,12200000,6500000,17700000,7100000, Rejected
+2427,2, Not Graduate, No,8400000,23200000,16,476,15200000,5400000,18700000,8600000, Rejected
+2428,2, Graduate, No,9300000,22000000,14,393,4300000,3800000,28400000,13900000, Rejected
+2429,0, Graduate, No,4200000,10300000,10,506,9300000,4500000,12400000,6000000, Rejected
+2430,3, Graduate, No,9600000,37800000,10,418,6700000,5500000,34900000,11300000, Rejected
+2431,3, Graduate, No,5600000,13400000,6,865,14900000,9700000,12300000,6000000, Approved
+2432,4, Graduate, No,7800000,28600000,2,703,500000,12400000,29500000,10500000, Approved
+2433,2, Graduate, Yes,4500000,12600000,2,568,6900000,3900000,17800000,2900000, Approved
+2434,3, Graduate, No,2400000,5900000,2,425,1100000,500000,7400000,2500000, Rejected
+2435,0, Not Graduate, No,3900000,11300000,12,305,5000000,5900000,8800000,2100000, Rejected
+2436,5, Graduate, Yes,9600000,20600000,6,456,17300000,11000000,21700000,11600000, Rejected
+2437,4, Not Graduate, No,900000,2600000,2,602,600000,800000,3200000,1000000, Approved
+2438,3, Graduate, Yes,1100000,3800000,20,814,1400000,1500000,3200000,1100000, Approved
+2439,4, Not Graduate, No,6400000,24900000,2,640,10000000,5700000,18700000,6300000, Approved
+2440,2, Graduate, No,4600000,15000000,4,817,7200000,2400000,13000000,6600000, Approved
+2441,4, Graduate, No,7600000,29800000,20,361,13800000,5800000,15300000,5900000, Rejected
+2442,5, Not Graduate, No,6800000,20100000,14,839,1900000,600000,15600000,7500000, Approved
+2443,5, Graduate, No,7100000,27000000,20,592,5100000,9600000,20200000,7600000, Approved
+2444,4, Not Graduate, Yes,6700000,24700000,6,498,12900000,700000,18800000,8400000, Rejected
+2445,5, Not Graduate, Yes,5800000,12400000,6,847,5100000,9000000,14100000,7600000, Approved
+2446,0, Graduate, Yes,8600000,29400000,16,643,1000000,14100000,33000000,12300000, Approved
+2447,0, Graduate, Yes,3500000,10600000,4,389,8300000,4800000,9100000,2500000, Approved
+2448,2, Graduate, Yes,4800000,17500000,20,381,400000,6900000,13400000,7000000, Rejected
+2449,5, Graduate, Yes,6100000,14400000,16,400,9200000,2800000,23800000,5600000, Rejected
+2450,5, Graduate, Yes,5200000,12700000,16,718,11700000,100000,18100000,7200000, Approved
+2451,5, Not Graduate, Yes,4100000,12400000,8,309,8200000,1000000,13000000,3300000, Rejected
+2452,5, Not Graduate, No,3200000,7400000,2,838,2200000,2900000,10200000,3600000, Approved
+2453,3, Not Graduate, Yes,7500000,21600000,14,678,8800000,12100000,20100000,11200000, Approved
+2454,2, Not Graduate, Yes,1500000,4500000,14,826,3200000,1700000,4600000,1600000, Approved
+2455,4, Graduate, Yes,1200000,3100000,16,348,1200000,2200000,3500000,1700000, Rejected
+2456,1, Graduate, Yes,8400000,19700000,6,476,24700000,16500000,31800000,12100000, Rejected
+2457,0, Not Graduate, Yes,7900000,26300000,8,666,4600000,9200000,18400000,11800000, Approved
+2458,1, Graduate, Yes,2100000,4300000,20,896,100000,2300000,7500000,2300000, Approved
+2459,2, Graduate, No,2500000,7000000,20,547,800000,1200000,5200000,2300000, Rejected
+2460,2, Not Graduate, Yes,3700000,13900000,2,405,5900000,3200000,9100000,5500000, Approved
+2461,5, Graduate, No,1100000,4000000,16,498,400000,100000,2300000,700000, Rejected
+2462,5, Graduate, No,6500000,24800000,8,779,7000000,9600000,15700000,8800000, Approved
+2463,0, Not Graduate, Yes,8200000,31500000,8,403,11500000,8800000,19000000,6100000, Rejected
+2464,2, Not Graduate, No,5000000,12400000,8,709,11300000,6800000,13300000,4200000, Approved
+2465,1, Not Graduate, No,1500000,6000000,6,507,2600000,2700000,4800000,1900000, Rejected
+2466,5, Not Graduate, No,3700000,9100000,18,368,3400000,2400000,8400000,3300000, Rejected
+2467,3, Graduate, Yes,4100000,14600000,16,760,4700000,6600000,14900000,3000000, Approved
+2468,2, Not Graduate, No,7200000,16800000,6,796,6600000,6100000,14400000,9800000, Approved
+2469,1, Graduate, No,2000000,5000000,6,876,500000,2900000,5800000,1500000, Approved
+2470,3, Not Graduate, No,2000000,4700000,14,673,800000,3400000,5900000,1500000, Approved
+2471,1, Graduate, Yes,5100000,11500000,4,747,5000000,8900000,14100000,7000000, Approved
+2472,1, Not Graduate, No,6000000,13600000,12,589,9000000,300000,12600000,7100000, Approved
+2473,1, Graduate, No,4900000,18100000,8,382,13600000,400000,15500000,2400000, Rejected
+2474,3, Not Graduate, Yes,900000,2300000,12,900,1300000,0,3300000,1100000, Approved
+2475,1, Graduate, Yes,7500000,25000000,18,628,3500000,2200000,21700000,4700000, Approved
+2476,2, Graduate, No,6400000,25000000,12,667,13500000,5500000,25500000,5400000, Approved
+2477,2, Graduate, Yes,8700000,26400000,2,778,8500000,2400000,28800000,10300000, Approved
+2478,4, Graduate, Yes,7300000,17200000,18,831,18500000,4300000,23000000,5200000, Approved
+2479,5, Graduate, No,7400000,27100000,4,320,19800000,14600000,25200000,9400000, Approved
+2480,2, Graduate, No,2700000,9300000,16,656,7700000,2500000,6400000,3600000, Approved
+2481,3, Graduate, No,3400000,8900000,6,896,4200000,4800000,10200000,4200000, Approved
+2482,3, Not Graduate, Yes,2100000,7400000,4,320,3300000,2700000,6300000,2200000, Approved
+2483,2, Not Graduate, No,3100000,10500000,10,751,5500000,5900000,9000000,1600000, Approved
+2484,5, Not Graduate, No,4700000,17400000,2,523,10600000,7000000,10900000,5200000, Approved
+2485,5, Graduate, No,3100000,10500000,6,584,7700000,2100000,10900000,2900000, Approved
+2486,2, Not Graduate, No,5700000,20400000,2,630,3000000,3100000,22600000,2900000, Approved
+2487,3, Graduate, Yes,2300000,8000000,14,472,4400000,3300000,7700000,1800000, Rejected
+2488,0, Not Graduate, Yes,6600000,18500000,16,802,14600000,1100000,21800000,9700000, Approved
+2489,2, Graduate, Yes,2700000,6400000,18,547,5000000,1700000,9200000,1700000, Rejected
+2490,1, Not Graduate, Yes,800000,2800000,16,726,2000000,1300000,3100000,1200000, Approved
+2491,1, Graduate, No,6600000,18500000,8,712,2300000,3200000,24400000,7600000, Approved
+2492,3, Graduate, No,3900000,10700000,6,790,10600000,1900000,12500000,2700000, Approved
+2493,5, Not Graduate, No,200000,600000,16,396,0,0,500000,200000, Rejected
+2494,3, Graduate, No,2000000,4200000,6,831,1300000,1700000,6900000,1200000, Approved
+2495,2, Graduate, Yes,9100000,20900000,20,632,4200000,400000,30000000,13200000, Approved
+2496,3, Graduate, No,4700000,10800000,8,527,13300000,3100000,13600000,4800000, Rejected
+2497,3, Not Graduate, Yes,3200000,11100000,6,708,8900000,5700000,8100000,1500000, Approved
+2498,2, Not Graduate, No,1700000,4200000,14,829,200000,1600000,4600000,1600000, Approved
+2499,1, Not Graduate, No,2600000,8100000,12,854,4500000,5100000,6300000,2500000, Approved
+2500,3, Not Graduate, Yes,2700000,6700000,14,899,2400000,4200000,6000000,2000000, Approved
+2501,0, Not Graduate, Yes,3600000,13400000,6,589,3600000,0,11200000,4000000, Approved
+2502,4, Graduate, Yes,7200000,26000000,6,571,4700000,0,22600000,4200000, Approved
+2503,2, Not Graduate, Yes,2500000,6400000,6,708,6900000,200000,9900000,3500000, Approved
+2504,2, Not Graduate, No,5500000,19600000,16,328,2400000,4800000,10900000,3700000, Rejected
+2505,3, Graduate, Yes,9200000,33500000,8,564,20800000,15200000,29800000,11400000, Approved
+2506,3, Not Graduate, No,9000000,19000000,8,693,18300000,4500000,29600000,7200000, Approved
+2507,4, Not Graduate, Yes,5900000,15000000,14,626,16400000,4600000,17600000,8200000, Approved
+2508,4, Graduate, No,5600000,15600000,12,470,9900000,10700000,14600000,7000000, Rejected
+2509,2, Not Graduate, Yes,3200000,12500000,8,849,400000,5300000,10400000,4400000, Approved
+2510,5, Not Graduate, No,9100000,27800000,16,547,21900000,7000000,31900000,9400000, Rejected
+2511,0, Not Graduate, Yes,4600000,15100000,2,417,5600000,3900000,11800000,6600000, Approved
+2512,4, Graduate, No,7300000,14900000,2,358,13600000,12300000,20400000,7300000, Rejected
+2513,5, Not Graduate, Yes,1300000,3100000,16,826,200000,1700000,5100000,1400000, Approved
+2514,0, Not Graduate, No,1800000,4200000,6,836,1300000,1900000,6800000,2000000, Approved
+2515,3, Graduate, No,500000,1700000,10,509,400000,300000,1400000,300000, Rejected
+2516,2, Not Graduate, Yes,5700000,20500000,20,581,15200000,7800000,11400000,8500000, Approved
+2517,4, Graduate, No,300000,1100000,4,359,100000,0,1000000,200000, Approved
+2518,5, Graduate, Yes,2100000,7100000,10,517,1200000,2900000,5400000,1400000, Rejected
+2519,1, Not Graduate, Yes,5700000,20100000,14,442,11700000,7300000,17900000,6500000, Rejected
+2520,1, Not Graduate, Yes,1100000,2700000,16,346,1900000,300000,2200000,800000, Rejected
+2521,5, Graduate, No,9300000,34000000,6,742,4200000,600000,32800000,8200000, Approved
+2522,1, Graduate, Yes,3500000,8100000,10,626,7100000,5500000,7200000,2900000, Approved
+2523,0, Not Graduate, Yes,8200000,28800000,4,619,9000000,1100000,23000000,6300000, Approved
+2524,2, Not Graduate, Yes,7500000,17900000,20,734,9100000,5500000,23000000,4900000, Approved
+2525,1, Graduate, Yes,7000000,25600000,6,420,15100000,11500000,15300000,8700000, Rejected
+2526,5, Not Graduate, Yes,3900000,8300000,18,600,3900000,600000,10400000,5600000, Approved
+2527,3, Graduate, Yes,4700000,13200000,12,440,4000000,3300000,16600000,4300000, Rejected
+2528,5, Not Graduate, Yes,1700000,5200000,16,820,1700000,1200000,4000000,1000000, Approved
+2529,0, Graduate, No,2500000,7800000,8,437,5800000,0,5800000,3300000, Rejected
+2530,1, Not Graduate, Yes,400000,1400000,12,468,700000,0,1500000,400000, Rejected
+2531,0, Not Graduate, Yes,2400000,9100000,8,368,2200000,200000,5600000,3300000, Rejected
+2532,4, Graduate, No,5700000,21900000,2,871,3200000,1700000,14400000,6100000, Approved
+2533,1, Graduate, No,9800000,37900000,4,816,21800000,12200000,26100000,8500000, Approved
+2534,5, Graduate, No,9000000,32800000,4,773,10600000,4100000,18900000,11500000, Approved
+2535,3, Not Graduate, No,800000,3000000,14,576,1200000,1300000,2600000,400000, Approved
+2536,1, Graduate, No,1600000,4500000,14,673,1900000,2700000,3700000,1300000, Approved
+2537,0, Graduate, Yes,9800000,34100000,20,760,21500000,9400000,33400000,13600000, Approved
+2538,5, Not Graduate, Yes,2900000,7500000,12,678,3400000,3000000,10900000,3700000, Approved
+2539,4, Not Graduate, Yes,3900000,12000000,14,893,6000000,4700000,12900000,5200000, Approved
+2540,0, Graduate, Yes,3300000,9000000,18,754,6100000,3900000,6900000,4700000, Approved
+2541,3, Graduate, Yes,700000,2200000,8,617,1600000,400000,2400000,900000, Approved
+2542,3, Not Graduate, Yes,8400000,29500000,20,661,14600000,3400000,28900000,10900000, Approved
+2543,1, Graduate, Yes,4000000,12100000,12,356,10500000,2500000,15600000,5000000, Rejected
+2544,0, Not Graduate, Yes,1900000,6300000,16,811,1100000,100000,5100000,1900000, Approved
+2545,0, Not Graduate, No,3900000,14600000,2,730,9200000,4000000,14600000,5400000, Approved
+2546,5, Not Graduate, No,7400000,18000000,2,792,5300000,9400000,19900000,5300000, Approved
+2547,5, Not Graduate, Yes,5900000,16000000,6,798,15900000,5000000,12300000,3100000, Approved
+2548,2, Not Graduate, No,1400000,2900000,12,490,600000,1600000,5500000,1300000, Rejected
+2549,2, Graduate, Yes,1800000,5500000,6,448,2900000,300000,5600000,1300000, Rejected
+2550,0, Graduate, Yes,1000000,3100000,6,525,1900000,1700000,2800000,1400000, Rejected
+2551,1, Graduate, No,7400000,19200000,20,415,2200000,4800000,29200000,7000000, Rejected
+2552,5, Graduate, No,2700000,10600000,16,496,800000,2900000,9700000,2400000, Rejected
+2553,1, Not Graduate, Yes,3600000,13100000,8,543,2900000,100000,9900000,2700000, Rejected
+2554,5, Graduate, No,7000000,18400000,12,520,4700000,11900000,17000000,3800000, Rejected
+2555,4, Not Graduate, Yes,5000000,18000000,14,307,5300000,5600000,12800000,3300000, Rejected
+2556,2, Graduate, No,1800000,5700000,14,502,1400000,1100000,4400000,1300000, Rejected
+2557,2, Graduate, Yes,4700000,12000000,6,505,3400000,3800000,18000000,2300000, Rejected
+2558,2, Not Graduate, Yes,6700000,23100000,4,304,14400000,7100000,24300000,10000000, Approved
+2559,5, Not Graduate, No,5800000,17500000,10,719,5800000,1900000,12400000,3100000, Approved
+2560,0, Graduate, Yes,5900000,22700000,18,855,13400000,6300000,14500000,4000000, Approved
+2561,4, Not Graduate, No,6000000,15800000,18,593,6800000,4800000,13200000,6400000, Approved
+2562,1, Not Graduate, Yes,700000,1400000,10,523,700000,1100000,1600000,900000, Rejected
+2563,0, Not Graduate, Yes,3700000,13100000,14,385,10600000,6800000,9200000,4900000, Rejected
+2564,0, Graduate, Yes,7100000,19300000,6,783,3900000,4800000,21800000,5000000, Approved
+2565,5, Graduate, Yes,1100000,3900000,2,538,400000,1300000,4300000,1600000, Approved
+2566,3, Not Graduate, Yes,9500000,20100000,2,506,16800000,800000,32700000,11000000, Rejected
+2567,4, Not Graduate, Yes,2200000,8600000,2,461,1400000,3000000,4700000,2100000, Approved
+2568,4, Not Graduate, Yes,5500000,20000000,8,666,3800000,4700000,18000000,7900000, Approved
+2569,3, Not Graduate, Yes,4400000,16300000,20,561,5500000,8000000,12000000,4000000, Approved
+2570,5, Not Graduate, No,5000000,10800000,10,345,12300000,5000000,14100000,6300000, Rejected
+2571,4, Not Graduate, Yes,6100000,12500000,14,862,11300000,1500000,21900000,6800000, Approved
+2572,3, Not Graduate, No,8100000,22300000,10,686,20400000,8700000,19200000,6200000, Approved
+2573,4, Graduate, Yes,7000000,19600000,8,708,17600000,2600000,24300000,4500000, Approved
+2574,4, Not Graduate, No,5600000,14800000,20,656,9600000,9200000,11600000,6500000, Approved
+2575,4, Graduate, No,1800000,7000000,14,743,2600000,1000000,4500000,1500000, Approved
+2576,2, Graduate, No,3600000,12100000,14,408,10100000,4200000,13000000,5400000, Rejected
+2577,5, Graduate, No,600000,1300000,14,408,1000000,300000,1600000,900000, Rejected
+2578,1, Graduate, Yes,4900000,16500000,12,439,7500000,1400000,10300000,7200000, Rejected
+2579,3, Graduate, Yes,3000000,7100000,6,415,2000000,5700000,9500000,2500000, Rejected
+2580,0, Not Graduate, Yes,3800000,10600000,12,490,3300000,6500000,14400000,3100000, Rejected
+2581,1, Graduate, Yes,7600000,30000000,16,884,13300000,3600000,17200000,10800000, Approved
+2582,4, Graduate, No,7800000,25400000,18,425,3000000,14000000,30500000,7200000, Rejected
+2583,0, Graduate, No,6800000,21700000,20,730,17500000,1300000,18600000,3600000, Approved
+2584,4, Graduate, Yes,5900000,17300000,20,657,1500000,5600000,13000000,4100000, Approved
+2585,2, Not Graduate, No,4900000,16800000,10,480,2200000,8900000,12600000,2700000, Rejected
+2586,3, Not Graduate, Yes,1100000,3100000,16,356,1300000,100000,3000000,1600000, Rejected
+2587,1, Not Graduate, Yes,9800000,36000000,12,629,28000000,4100000,29800000,11200000, Approved
+2588,1, Graduate, Yes,1200000,4700000,2,667,1100000,300000,4200000,800000, Approved
+2589,0, Not Graduate, No,4700000,11500000,18,559,7500000,0,18700000,2600000, Approved
+2590,4, Graduate, No,6700000,16000000,4,791,0,13000000,20700000,5200000, Approved
+2591,0, Not Graduate, Yes,3700000,11300000,6,538,6200000,400000,10400000,5400000, Rejected
+2592,2, Graduate, No,7400000,16000000,20,358,16700000,5500000,26800000,4300000, Rejected
+2593,2, Not Graduate, No,3300000,11700000,14,439,4000000,6300000,8300000,1700000, Rejected
+2594,2, Graduate, Yes,4800000,15300000,12,503,3300000,4000000,12000000,4300000, Rejected
+2595,4, Graduate, Yes,4600000,11900000,6,810,11200000,8200000,17500000,5200000, Approved
+2596,1, Graduate, Yes,8000000,30600000,14,302,12700000,13100000,23900000,6800000, Rejected
+2597,0, Not Graduate, No,4100000,8800000,18,300,10900000,6400000,8600000,3500000, Rejected
+2598,4, Not Graduate, No,2600000,7200000,16,612,1300000,1000000,5800000,1400000, Approved
+2599,3, Not Graduate, No,1300000,5000000,6,686,2700000,2000000,4100000,900000, Approved
+2600,0, Graduate, Yes,2300000,4900000,12,409,3300000,2400000,4700000,3200000, Rejected
+2601,5, Graduate, No,300000,900000,6,492,800000,300000,700000,400000, Rejected
+2602,0, Graduate, Yes,7000000,21700000,20,498,6600000,5500000,14700000,3900000, Rejected
+2603,3, Not Graduate, Yes,4400000,10900000,18,611,8600000,6300000,8800000,3000000, Approved
+2604,5, Not Graduate, Yes,5100000,11800000,6,776,7600000,400000,10500000,4400000, Approved
+2605,1, Not Graduate, No,5900000,13000000,6,779,10800000,11600000,13100000,6600000, Approved
+2606,3, Graduate, Yes,7800000,27200000,16,560,3600000,8100000,21800000,8600000, Approved
+2607,4, Graduate, Yes,2200000,5100000,6,308,3200000,2600000,6600000,3100000, Rejected
+2608,4, Not Graduate, No,5400000,12600000,18,786,300000,2500000,21000000,6600000, Approved
+2609,1, Not Graduate, No,7400000,29100000,8,597,12100000,4800000,16300000,7000000, Approved
+2610,4, Graduate, No,5800000,12000000,12,811,9400000,8800000,14200000,3100000, Approved
+2611,1, Graduate, Yes,5800000,13000000,12,862,11300000,8400000,12000000,3900000, Approved
+2612,3, Not Graduate, Yes,4800000,14200000,12,369,3200000,200000,14000000,3000000, Rejected
+2613,1, Not Graduate, Yes,7400000,23900000,4,687,20800000,10900000,26100000,5600000, Approved
+2614,0, Not Graduate, Yes,9600000,19600000,12,500,21500000,700000,37600000,10900000, Rejected
+2615,2, Not Graduate, Yes,200000,500000,6,746,400000,0,500000,0, Approved
+2616,4, Not Graduate, No,700000,2100000,14,619,1900000,700000,2400000,1000000, Approved
+2617,2, Not Graduate, No,7600000,16700000,20,692,9900000,9600000,25100000,7400000, Approved
+2618,1, Not Graduate, Yes,1400000,3300000,18,321,900000,1500000,3000000,700000, Rejected
+2619,2, Not Graduate, Yes,3800000,15000000,14,730,10800000,2900000,10700000,3600000, Approved
+2620,3, Not Graduate, No,2700000,10800000,6,480,4400000,0,10300000,3500000, Rejected
+2621,2, Not Graduate, Yes,5000000,10700000,2,753,12600000,9000000,11500000,5700000, Approved
+2622,4, Graduate, Yes,9000000,28900000,6,637,11300000,1200000,33000000,4800000, Approved
+2623,3, Graduate, No,3700000,9000000,6,483,9300000,400000,9900000,3600000, Rejected
+2624,4, Not Graduate, Yes,300000,1100000,4,315,700000,100000,900000,100000, Approved
+2625,4, Graduate, No,1800000,4100000,8,777,2200000,2500000,3600000,1900000, Approved
+2626,2, Graduate, No,7900000,17700000,4,402,20900000,11800000,25600000,8400000, Rejected
+2627,4, Graduate, Yes,2100000,7700000,8,493,4300000,400000,4400000,1300000, Rejected
+2628,0, Graduate, Yes,900000,3100000,4,355,1700000,100000,3000000,500000, Approved
+2629,3, Graduate, No,9900000,23600000,18,557,18300000,8600000,23000000,9100000, Approved
+2630,0, Not Graduate, Yes,5600000,20000000,20,606,7100000,500000,20000000,7600000, Approved
+2631,1, Not Graduate, Yes,6000000,12200000,16,743,8800000,2600000,20600000,2900000, Approved
+2632,5, Not Graduate, No,5700000,18400000,4,579,12800000,4000000,17200000,4900000, Approved
+2633,0, Graduate, Yes,9000000,33100000,20,734,2800000,5900000,25300000,10300000, Approved
+2634,0, Graduate, No,7300000,16100000,2,490,7600000,1400000,21800000,10700000, Rejected
+2635,5, Graduate, No,5300000,20500000,16,802,11200000,7100000,21100000,4100000, Approved
+2636,1, Not Graduate, Yes,3500000,7400000,16,867,500000,6600000,9500000,2100000, Approved
+2637,0, Not Graduate, No,1000000,2200000,12,302,2200000,400000,3700000,1400000, Rejected
+2638,0, Not Graduate, No,5100000,19900000,12,867,1800000,7100000,18300000,5700000, Approved
+2639,0, Graduate, Yes,2900000,9900000,8,312,1800000,4500000,11200000,3700000, Rejected
+2640,3, Not Graduate, No,7600000,19100000,14,762,14800000,15000000,23500000,7300000, Approved
+2641,5, Not Graduate, Yes,6000000,14700000,18,462,15400000,9700000,13800000,3500000, Rejected
+2642,1, Graduate, No,6300000,18200000,18,849,4300000,5800000,15500000,5200000, Approved
+2643,3, Not Graduate, No,1900000,7400000,18,592,2300000,3000000,6000000,1800000, Approved
+2644,4, Graduate, No,600000,1400000,4,507,200000,300000,1700000,400000, Rejected
+2645,2, Not Graduate, Yes,4100000,11400000,14,505,8100000,7500000,10100000,5500000, Rejected
+2646,0, Not Graduate, Yes,800000,3200000,8,467,900000,400000,3100000,800000, Rejected
+2647,2, Not Graduate, No,6600000,22900000,16,543,2500000,11000000,26300000,8500000, Rejected
+2648,4, Graduate, Yes,300000,1100000,12,674,600000,0,800000,200000, Approved
+2649,3, Graduate, No,6100000,13500000,2,717,15700000,4200000,16100000,3400000, Approved
+2650,5, Not Graduate, Yes,4800000,17000000,10,666,6800000,5400000,12400000,2900000, Approved
+2651,4, Not Graduate, No,4500000,17300000,18,830,200000,4200000,12000000,2500000, Approved
+2652,2, Graduate, No,3800000,9400000,16,383,8300000,500000,9200000,2300000, Rejected
+2653,2, Graduate, Yes,7000000,18900000,8,584,13000000,13600000,20600000,5000000, Approved
+2654,2, Not Graduate, No,4400000,14200000,18,799,6300000,7800000,10800000,2400000, Approved
+2655,5, Graduate, No,5300000,19400000,6,510,14700000,7000000,13600000,3700000, Rejected
+2656,0, Not Graduate, Yes,2600000,5900000,6,572,5800000,3100000,7300000,3800000, Approved
+2657,3, Not Graduate, No,3300000,13100000,2,554,6000000,2500000,6700000,3800000, Approved
+2658,1, Not Graduate, Yes,1200000,4800000,6,344,2900000,1700000,3200000,1300000, Rejected
+2659,3, Graduate, No,4300000,8600000,8,881,9100000,5200000,15000000,5500000, Approved
+2660,0, Not Graduate, Yes,8400000,27200000,10,514,2500000,6400000,20100000,7200000, Rejected
+2661,0, Graduate, No,600000,1800000,18,796,1000000,700000,1200000,500000, Approved
+2662,2, Graduate, Yes,4700000,16200000,12,802,2300000,5400000,14800000,6700000, Approved
+2663,3, Graduate, No,4200000,12500000,20,375,1300000,5100000,10900000,2400000, Rejected
+2664,2, Graduate, No,4300000,14700000,2,871,4100000,7300000,13900000,4400000, Approved
+2665,0, Not Graduate, No,800000,2900000,2,439,100000,900000,2700000,1200000, Approved
+2666,0, Not Graduate, Yes,9300000,32000000,8,438,24800000,6400000,34900000,12400000, Rejected
+2667,5, Not Graduate, No,6200000,13700000,2,468,3300000,12300000,13900000,5500000, Rejected
+2668,3, Graduate, Yes,3500000,10200000,12,645,10400000,5700000,10000000,2400000, Approved
+2669,2, Graduate, Yes,3600000,9200000,18,700,4400000,1800000,10700000,3500000, Approved
+2670,5, Graduate, Yes,9500000,36700000,16,348,3500000,2200000,31600000,11400000, Rejected
+2671,5, Graduate, Yes,600000,1400000,10,877,1400000,400000,2000000,700000, Approved
+2672,0, Not Graduate, Yes,3800000,14900000,6,899,7800000,600000,12400000,2800000, Approved
+2673,3, Graduate, Yes,1400000,3500000,12,610,1200000,600000,3800000,1400000, Approved
+2674,1, Not Graduate, No,6300000,23900000,4,742,1500000,7100000,21800000,4300000, Approved
+2675,1, Not Graduate, Yes,2800000,6600000,18,801,4000000,4900000,7100000,3700000, Approved
+2676,4, Graduate, Yes,5400000,17100000,2,533,13800000,5100000,12200000,4700000, Approved
+2677,3, Not Graduate, Yes,6300000,23900000,16,656,12700000,9300000,15200000,5100000, Approved
+2678,3, Graduate, Yes,3900000,14300000,18,785,10900000,7600000,13900000,4900000, Approved
+2679,2, Graduate, Yes,4200000,15700000,2,332,7000000,700000,13300000,3000000, Approved
+2680,0, Graduate, No,3100000,8100000,18,768,400000,1600000,11600000,2400000, Approved
+2681,1, Graduate, No,3400000,8600000,6,640,7700000,1000000,7800000,4400000, Approved
+2682,4, Not Graduate, No,1500000,3100000,6,885,100000,2800000,3800000,1900000, Approved
+2683,3, Not Graduate, Yes,900000,2000000,18,772,2300000,700000,3500000,800000, Approved
+2684,4, Graduate, Yes,7800000,25600000,4,665,1000000,2300000,27300000,8200000, Approved
+2685,1, Not Graduate, Yes,3500000,10500000,20,454,8300000,4000000,7600000,2100000, Rejected
+2686,1, Not Graduate, No,8400000,32500000,14,698,20600000,5900000,17300000,12200000, Approved
+2687,4, Not Graduate, Yes,6400000,21300000,20,332,3600000,9100000,16200000,8000000, Rejected
+2688,1, Not Graduate, No,9600000,28300000,6,536,18700000,9300000,27300000,6000000, Rejected
+2689,5, Not Graduate, Yes,2100000,6500000,10,796,2400000,2800000,7300000,2700000, Approved
+2690,2, Not Graduate, Yes,6000000,19900000,8,486,12100000,8100000,20100000,6600000, Rejected
+2691,0, Not Graduate, Yes,8300000,16800000,18,422,8000000,10600000,23300000,11400000, Rejected
+2692,1, Not Graduate, Yes,5300000,18500000,6,501,6700000,8600000,16600000,4300000, Rejected
+2693,1, Not Graduate, Yes,9700000,23500000,4,666,15100000,9400000,23300000,8000000, Approved
+2694,3, Not Graduate, Yes,8200000,16500000,18,371,19000000,1200000,18500000,8200000, Rejected
+2695,5, Graduate, No,3400000,6900000,14,312,1800000,400000,10300000,3800000, Rejected
+2696,5, Graduate, No,2800000,11000000,12,753,3900000,4600000,10700000,2400000, Approved
+2697,0, Not Graduate, Yes,2400000,5200000,16,740,6300000,1000000,7500000,2900000, Approved
+2698,1, Graduate, No,8200000,24000000,4,366,10900000,15200000,25200000,10400000, Rejected
+2699,4, Not Graduate, No,4200000,11100000,8,526,11600000,200000,16800000,4900000, Rejected
+2700,4, Graduate, Yes,5500000,14800000,10,354,16000000,3400000,21200000,7700000, Rejected
+2701,5, Not Graduate, Yes,2900000,6300000,6,719,7900000,1600000,8000000,1600000, Approved
+2702,5, Not Graduate, No,6300000,20100000,12,774,15600000,11800000,16200000,5800000, Approved
+2703,5, Not Graduate, Yes,9700000,29100000,18,732,4700000,7400000,35600000,12400000, Approved
+2704,1, Not Graduate, No,6500000,16000000,6,862,2000000,0,24000000,9700000, Approved
+2705,5, Not Graduate, No,4900000,10800000,18,613,6800000,800000,14500000,5300000, Approved
+2706,5, Graduate, Yes,6900000,16500000,6,447,4100000,400000,14100000,6600000, Rejected
+2707,4, Not Graduate, Yes,1100000,3000000,4,730,300000,600000,3600000,1100000, Approved
+2708,2, Not Graduate, Yes,7800000,29600000,14,568,-100000,8600000,27000000,7200000, Approved
+2709,2, Graduate, Yes,8200000,23600000,6,495,23000000,10600000,27200000,6100000, Rejected
+2710,5, Not Graduate, Yes,6700000,23600000,14,854,3000000,3300000,19400000,7500000, Approved
+2711,3, Graduate, Yes,7400000,15200000,10,548,16700000,12800000,19300000,4800000, Rejected
+2712,1, Not Graduate, No,1200000,2700000,14,779,600000,2200000,2400000,600000, Approved
+2713,0, Not Graduate, No,9500000,24800000,2,564,17400000,16000000,19600000,12000000, Approved
+2714,5, Not Graduate, Yes,4000000,8200000,2,571,3500000,7700000,9500000,4400000, Approved
+2715,0, Not Graduate, Yes,8600000,32600000,8,778,21500000,14100000,33600000,11000000, Approved
+2716,4, Graduate, Yes,9100000,28400000,12,808,25800000,11800000,19300000,9700000, Approved
+2717,0, Not Graduate, Yes,7100000,18600000,20,770,19200000,13100000,23100000,5100000, Approved
+2718,0, Not Graduate, No,9000000,28400000,4,612,0,7200000,26900000,13200000, Approved
+2719,3, Graduate, Yes,1400000,2700000,14,819,1200000,1500000,4000000,1300000, Approved
+2720,1, Graduate, No,8800000,20200000,6,627,24200000,16100000,17600000,11900000, Approved
+2721,3, Not Graduate, Yes,5400000,14700000,4,359,12300000,9900000,15100000,6100000, Rejected
+2722,1, Graduate, No,6100000,19100000,6,341,5700000,5900000,12400000,6300000, Rejected
+2723,1, Graduate, No,1000000,3600000,4,570,1000000,1300000,3700000,1000000, Approved
+2724,3, Graduate, Yes,7700000,18100000,20,736,7800000,14500000,29100000,10000000, Approved
+2725,1, Graduate, Yes,6100000,12900000,2,302,8900000,7500000,15600000,7200000, Rejected
+2726,2, Not Graduate, Yes,7700000,21000000,12,420,16100000,4300000,27400000,10500000, Rejected
+2727,4, Graduate, Yes,4700000,12000000,2,416,5800000,8200000,13000000,6800000, Rejected
+2728,2, Graduate, Yes,9100000,34800000,20,836,21300000,10900000,30600000,9900000, Approved
+2729,0, Graduate, Yes,5800000,12700000,12,528,8400000,7300000,19600000,7600000, Rejected
+2730,4, Not Graduate, No,8500000,24900000,2,405,1900000,400000,21700000,11400000, Rejected
+2731,2, Graduate, Yes,9900000,33400000,14,783,16600000,16100000,21000000,9500000, Approved
+2732,4, Not Graduate, Yes,2000000,4000000,10,636,2100000,0,4000000,1700000, Approved
+2733,1, Not Graduate, Yes,5000000,16800000,6,711,6300000,7600000,16000000,3200000, Approved
+2734,1, Graduate, Yes,3200000,11800000,16,848,5500000,3200000,7500000,2300000, Approved
+2735,1, Not Graduate, Yes,8000000,27800000,8,804,7900000,1600000,27100000,11800000, Approved
+2736,0, Not Graduate, Yes,1200000,2800000,14,892,3200000,100000,3300000,1700000, Approved
+2737,2, Not Graduate, Yes,5800000,22800000,14,696,12100000,200000,20800000,4800000, Approved
+2738,1, Graduate, No,2500000,7600000,20,888,7400000,4200000,6400000,1900000, Approved
+2739,1, Not Graduate, Yes,600000,1400000,10,699,400000,500000,1300000,800000, Approved
+2740,5, Graduate, No,4900000,13000000,10,865,13300000,3700000,14700000,6500000, Approved
+2741,2, Graduate, Yes,9400000,37300000,14,383,7800000,15900000,27100000,7700000, Rejected
+2742,2, Graduate, No,5300000,19300000,16,368,14700000,400000,11600000,3700000, Rejected
+2743,5, Not Graduate, No,5100000,15800000,4,607,6000000,7700000,12600000,7000000, Approved
+2744,4, Not Graduate, Yes,2900000,8900000,18,827,400000,3400000,11200000,1600000, Approved
+2745,1, Graduate, No,9100000,34000000,12,672,8600000,1600000,32700000,8800000, Approved
+2746,3, Not Graduate, Yes,8800000,26700000,12,708,16000000,15300000,26900000,9600000, Approved
+2747,4, Not Graduate, No,2600000,8800000,10,682,4500000,4700000,10300000,1600000, Approved
+2748,1, Graduate, Yes,9700000,25500000,18,741,21900000,6200000,34800000,4900000, Approved
+2749,5, Not Graduate, Yes,600000,1200000,8,343,100000,700000,1600000,600000, Rejected
+2750,0, Graduate, Yes,4100000,11100000,16,785,6800000,5300000,8500000,4800000, Approved
+2751,1, Not Graduate, Yes,8000000,28000000,20,830,22400000,12600000,25600000,10600000, Approved
+2752,2, Graduate, No,8800000,26700000,16,696,12900000,15300000,20300000,10900000, Approved
+2753,1, Graduate, No,200000,300000,12,697,600000,300000,700000,100000, Approved
+2754,0, Graduate, Yes,3800000,11700000,2,351,100000,6700000,12500000,3100000, Approved
+2755,3, Graduate, No,6800000,21800000,10,556,16400000,9300000,19100000,5400000, Approved
+2756,0, Graduate, No,8600000,31800000,2,895,22600000,15900000,19600000,5100000, Approved
+2757,2, Graduate, Yes,2800000,8400000,10,534,8300000,4800000,10600000,1500000, Rejected
+2758,0, Graduate, No,8000000,29800000,12,736,600000,15700000,30800000,8400000, Approved
+2759,2, Graduate, Yes,2300000,5500000,16,629,4600000,2900000,7000000,1900000, Approved
+2760,4, Graduate, Yes,7600000,16200000,20,657,1900000,9300000,28500000,5500000, Approved
+2761,2, Graduate, No,2900000,11300000,12,839,700000,5100000,8100000,2600000, Approved
+2762,4, Not Graduate, No,7900000,25700000,18,589,4300000,300000,25300000,9800000, Approved
+2763,2, Not Graduate, No,1900000,4500000,6,805,2200000,3100000,4800000,2300000, Approved
+2764,3, Not Graduate, Yes,4600000,13600000,20,729,1300000,8900000,17200000,5900000, Approved
+2765,1, Not Graduate, No,2600000,7700000,6,399,3700000,4300000,8900000,3500000, Rejected
+2766,2, Not Graduate, No,2700000,6700000,8,413,7600000,800000,9200000,2300000, Rejected
+2767,5, Graduate, Yes,6300000,13200000,16,321,6700000,4000000,15200000,7100000, Rejected
+2768,0, Graduate, Yes,2600000,7500000,2,853,4200000,3900000,9600000,1400000, Approved
+2769,4, Not Graduate, Yes,7700000,23400000,6,400,3900000,3400000,20800000,10700000, Rejected
+2770,0, Graduate, Yes,7400000,16300000,16,630,11200000,13200000,28400000,5300000, Approved
+2771,3, Graduate, Yes,7300000,21600000,20,557,1900000,3800000,26400000,9300000, Approved
+2772,1, Graduate, No,2900000,7600000,2,358,800000,700000,10100000,2100000, Rejected
+2773,3, Graduate, Yes,6600000,16000000,10,510,1200000,4800000,13300000,6300000, Rejected
+2774,2, Graduate, Yes,2700000,9600000,14,554,5800000,200000,10200000,1900000, Approved
+2775,3, Graduate, Yes,8300000,27700000,4,596,20500000,15400000,21400000,7400000, Approved
+2776,0, Graduate, No,4900000,18500000,8,659,8800000,1700000,14700000,4900000, Approved
+2777,4, Graduate, Yes,7900000,30700000,10,322,10600000,13200000,30300000,6300000, Rejected
+2778,5, Graduate, Yes,8800000,21300000,14,852,8000000,6400000,28500000,9900000, Approved
+2779,5, Not Graduate, No,4000000,14100000,18,653,5800000,4100000,9400000,5400000, Approved
+2780,4, Graduate, Yes,3900000,9200000,12,737,2800000,2300000,12300000,5200000, Approved
+2781,3, Graduate, Yes,7700000,18900000,2,583,9300000,3000000,16700000,9300000, Approved
+2782,1, Graduate, Yes,3800000,10000000,16,873,5100000,2800000,10300000,4000000, Approved
+2783,5, Graduate, No,8000000,27000000,20,595,4500000,5200000,24800000,10400000, Approved
+2784,5, Graduate, Yes,3400000,11300000,20,871,6500000,3900000,9700000,2400000, Approved
+2785,5, Graduate, Yes,5500000,18800000,12,603,3300000,700000,21000000,5000000, Approved
+2786,0, Not Graduate, No,7700000,29300000,14,801,6200000,11800000,23400000,4700000, Approved
+2787,5, Graduate, No,4000000,9400000,4,723,200000,0,12100000,2000000, Approved
+2788,5, Not Graduate, Yes,5900000,22600000,18,630,2300000,4200000,16500000,6800000, Approved
+2789,0, Not Graduate, Yes,2600000,9900000,20,368,3600000,1500000,5200000,2000000, Rejected
+2790,3, Graduate, No,6600000,22200000,12,759,8900000,2200000,18700000,8500000, Approved
+2791,0, Not Graduate, Yes,1000000,3000000,18,382,2200000,700000,3500000,900000, Rejected
+2792,4, Not Graduate, Yes,800000,2800000,16,645,900000,1400000,2300000,600000, Approved
+2793,0, Graduate, No,3200000,6300000,6,878,6700000,5200000,8100000,3600000, Approved
+2794,4, Graduate, No,8400000,23400000,12,350,18700000,9100000,27500000,6700000, Rejected
+2795,3, Graduate, Yes,5800000,17600000,6,720,4900000,4200000,18800000,6600000, Approved
+2796,0, Not Graduate, Yes,7300000,28100000,10,673,13700000,1200000,16300000,8900000, Approved
+2797,1, Graduate, No,3900000,8000000,6,448,100000,1900000,9800000,4000000, Rejected
+2798,2, Not Graduate, Yes,4600000,16000000,4,720,0,4000000,12300000,4200000, Approved
+2799,0, Graduate, No,3600000,12300000,2,300,5200000,3000000,14300000,5400000, Approved
+2800,4, Graduate, No,7500000,28700000,20,520,4600000,3500000,15200000,5700000, Rejected
+2801,1, Graduate, No,5200000,15000000,12,794,3200000,7200000,16500000,5100000, Approved
+2802,3, Graduate, Yes,4400000,10000000,8,875,5900000,5200000,11700000,4100000, Approved
+2803,1, Not Graduate, Yes,5100000,12900000,14,533,6700000,6700000,14400000,3900000, Rejected
+2804,0, Graduate, No,6000000,23600000,6,776,13800000,2700000,23400000,8800000, Approved
+2805,2, Graduate, No,3800000,11400000,6,706,1000000,4000000,12100000,2800000, Approved
+2806,3, Graduate, No,2800000,10900000,2,710,600000,2400000,5600000,3600000, Approved
+2807,5, Graduate, Yes,6500000,18300000,4,333,8100000,400000,21700000,7000000, Rejected
+2808,2, Not Graduate, Yes,1600000,6400000,4,787,1000000,300000,5500000,1100000, Approved
+2809,4, Graduate, No,5500000,18600000,12,569,13500000,6200000,19700000,7300000, Approved
+2810,0, Graduate, Yes,9600000,20100000,16,427,7200000,2300000,34500000,7400000, Rejected
+2811,0, Graduate, No,7000000,27800000,16,640,11500000,3700000,16000000,8200000, Approved
+2812,2, Not Graduate, No,4000000,8100000,16,312,3500000,2100000,15100000,3100000, Rejected
+2813,1, Not Graduate, Yes,8100000,30900000,12,464,13600000,9800000,17900000,7500000, Rejected
+2814,2, Not Graduate, Yes,6600000,22800000,8,490,6100000,10000000,18000000,6400000, Rejected
+2815,5, Graduate, No,4100000,10200000,12,431,6200000,2200000,13700000,4300000, Rejected
+2816,1, Graduate, No,6600000,24800000,4,500,8600000,4100000,16700000,6100000, Approved
+2817,4, Graduate, No,5100000,12200000,14,511,2700000,6000000,18300000,3400000, Rejected
+2818,4, Graduate, No,8200000,25200000,18,691,5800000,8900000,28500000,10500000, Approved
+2819,1, Not Graduate, Yes,9500000,24400000,14,696,25500000,6700000,29500000,6300000, Approved
+2820,0, Not Graduate, Yes,7600000,27600000,2,437,10000000,11200000,27600000,6800000, Approved
+2821,2, Not Graduate, Yes,8400000,20800000,12,335,6700000,12300000,18500000,10100000, Rejected
+2822,4, Graduate, No,7600000,25100000,4,671,4600000,13200000,27400000,4300000, Approved
+2823,4, Not Graduate, Yes,1400000,3700000,12,621,3100000,900000,5100000,1800000, Approved
+2824,4, Not Graduate, Yes,2700000,6800000,10,455,4700000,2600000,7400000,2700000, Rejected
+2825,1, Graduate, Yes,200000,500000,10,856,500000,200000,500000,200000, Approved
+2826,3, Graduate, No,600000,2100000,16,892,700000,400000,2400000,500000, Approved
+2827,4, Graduate, No,5200000,12900000,16,819,3400000,4100000,16800000,7500000, Approved
+2828,0, Not Graduate, Yes,5100000,11600000,10,308,8700000,1300000,10700000,7000000, Rejected
+2829,4, Graduate, Yes,9200000,18600000,2,889,26900000,4200000,33300000,9700000, Approved
+2830,5, Not Graduate, No,6500000,23200000,18,713,6700000,1400000,13400000,7200000, Approved
+2831,0, Graduate, No,8500000,21000000,6,665,3600000,9600000,27500000,11300000, Approved
+2832,4, Not Graduate, No,2000000,6000000,12,837,1300000,1900000,6300000,2300000, Approved
+2833,4, Not Graduate, Yes,7500000,18000000,20,395,200000,12800000,23500000,9700000, Rejected
+2834,0, Graduate, Yes,7500000,28900000,10,632,21700000,10700000,24700000,9900000, Approved
+2835,2, Not Graduate, No,2000000,4300000,16,497,5100000,200000,5700000,2800000, Rejected
+2836,3, Graduate, Yes,1400000,2700000,14,694,3800000,200000,3600000,1700000, Approved
+2837,1, Not Graduate, Yes,1700000,5600000,2,882,3100000,2600000,6700000,1600000, Approved
+2838,2, Graduate, Yes,5300000,14900000,6,504,10600000,2100000,17000000,3200000, Rejected
+2839,4, Not Graduate, No,8900000,30100000,2,747,20600000,12900000,20700000,10300000, Approved
+2840,3, Graduate, No,9700000,35300000,4,462,11500000,9500000,33700000,7200000, Approved
+2841,5, Graduate, No,9000000,25900000,4,538,11100000,11100000,31300000,8100000, Rejected
+2842,2, Not Graduate, Yes,8500000,30900000,6,664,5700000,9900000,19800000,7400000, Approved
+2843,1, Not Graduate, No,3500000,10900000,4,524,8800000,6200000,13600000,2800000, Approved
+2844,1, Not Graduate, No,500000,1400000,6,464,1100000,0,1900000,500000, Rejected
+2845,3, Graduate, No,8900000,19100000,6,807,2300000,16500000,29900000,10400000, Approved
+2846,2, Not Graduate, Yes,7800000,27200000,18,622,6000000,6000000,26400000,4300000, Approved
+2847,5, Not Graduate, Yes,9800000,27800000,6,827,2400000,14900000,32800000,9500000, Approved
+2848,0, Graduate, No,5200000,19000000,14,687,11900000,500000,19400000,4400000, Approved
+2849,4, Graduate, No,7400000,19400000,16,835,16400000,14200000,23500000,6500000, Approved
+2850,3, Graduate, Yes,1200000,3300000,6,772,700000,900000,2900000,1400000, Approved
+2851,1, Not Graduate, Yes,1000000,3200000,2,710,100000,200000,3300000,900000, Approved
+2852,3, Graduate, Yes,9500000,32500000,14,581,2800000,14300000,36000000,4700000, Approved
+2853,3, Not Graduate, No,4500000,11700000,18,775,8700000,2800000,12700000,4500000, Approved
+2854,2, Graduate, No,4900000,16000000,12,710,8700000,7100000,10000000,5700000, Approved
+2855,3, Not Graduate, Yes,700000,2500000,8,321,1900000,1200000,1700000,400000, Rejected
+2856,0, Graduate, No,9400000,28300000,20,761,22500000,14800000,30800000,10100000, Approved
+2857,3, Not Graduate, Yes,8300000,31400000,6,674,1000000,1600000,17200000,6100000, Rejected
+2858,4, Graduate, Yes,5600000,13000000,4,899,10500000,9100000,11400000,6400000, Approved
+2859,5, Not Graduate, Yes,4400000,12300000,8,567,2400000,500000,12900000,6300000, Approved
+2860,3, Graduate, No,2100000,5400000,8,771,5200000,3700000,6200000,1000000, Approved
+2861,1, Not Graduate, Yes,4400000,10600000,4,360,6600000,7700000,15100000,5000000, Rejected
+2862,0, Not Graduate, No,6300000,19600000,6,425,15900000,10400000,13300000,5900000, Rejected
+2863,4, Graduate, No,9900000,30000000,18,496,10400000,8000000,29300000,13800000, Rejected
+2864,3, Not Graduate, No,700000,1600000,20,705,600000,900000,2300000,700000, Approved
+2865,4, Not Graduate, No,3600000,12400000,14,427,10400000,2400000,9100000,2600000, Rejected
+2866,1, Not Graduate, Yes,5600000,21000000,2,552,3200000,6300000,22100000,6100000, Approved
+2867,3, Not Graduate, Yes,1000000,3700000,8,725,3000000,1300000,4000000,1300000, Approved
+2868,5, Graduate, Yes,6400000,15600000,8,553,14200000,2900000,20400000,8000000, Approved
+2869,0, Not Graduate, No,8900000,19100000,2,725,8300000,15000000,19000000,8800000, Approved
+2870,4, Graduate, No,9900000,26100000,2,481,14500000,5000000,23600000,9300000, Rejected
+2871,2, Graduate, Yes,4000000,8600000,4,847,10200000,2700000,14300000,2400000, Approved
+2872,0, Not Graduate, Yes,7300000,25700000,10,666,14000000,3100000,29000000,6000000, Approved
+2873,1, Not Graduate, No,8100000,25400000,6,477,4500000,13200000,23200000,4400000, Rejected
+2874,4, Graduate, Yes,6800000,22100000,4,446,3700000,4600000,18900000,9200000, Approved
+2875,0, Not Graduate, Yes,2600000,8200000,8,630,6000000,4900000,7500000,2000000, Approved
+2876,5, Not Graduate, Yes,300000,1100000,20,613,600000,400000,700000,200000, Approved
+2877,2, Graduate, Yes,2400000,7500000,4,851,3100000,700000,5600000,2400000, Approved
+2878,0, Not Graduate, No,6000000,20600000,12,339,3400000,10700000,17200000,8200000, Rejected
+2879,4, Graduate, Yes,3800000,11100000,16,857,11300000,7400000,11700000,4700000, Approved
+2880,0, Graduate, Yes,7000000,22100000,14,467,10000000,6400000,26100000,5800000, Rejected
+2881,0, Graduate, Yes,5400000,12900000,16,355,11200000,3100000,18200000,7400000, Rejected
+2882,1, Not Graduate, No,6400000,16400000,6,428,12400000,10900000,23900000,8900000, Rejected
+2883,5, Not Graduate, Yes,7000000,24000000,14,450,10300000,5700000,21100000,4700000, Rejected
+2884,2, Not Graduate, Yes,2100000,4600000,4,348,5400000,0,7400000,1400000, Rejected
+2885,4, Not Graduate, Yes,4400000,15000000,12,459,5700000,800000,11400000,2400000, Rejected
+2886,0, Not Graduate, No,8000000,31000000,8,847,4900000,9500000,29600000,5700000, Approved
+2887,2, Not Graduate, Yes,3900000,8300000,18,523,800000,300000,9900000,2300000, Rejected
+2888,0, Graduate, No,4700000,15200000,10,786,11100000,8000000,9600000,3200000, Approved
+2889,0, Graduate, No,6800000,21200000,14,300,0,8700000,16500000,10000000, Rejected
+2890,0, Not Graduate, Yes,1800000,6500000,12,728,3500000,0,6100000,1900000, Approved
+2891,3, Not Graduate, Yes,8600000,32000000,4,497,11400000,3300000,18600000,4900000, Approved
+2892,1, Not Graduate, Yes,3600000,13700000,10,548,9900000,2400000,8900000,4100000, Rejected
+2893,1, Graduate, Yes,6800000,22900000,6,576,500000,11100000,13800000,5600000, Approved
+2894,3, Graduate, Yes,1100000,4100000,20,863,800000,1100000,3700000,600000, Approved
+2895,4, Graduate, Yes,4000000,8400000,8,717,7400000,4900000,11900000,4000000, Approved
+2896,1, Graduate, No,2500000,5900000,12,668,7400000,600000,6300000,3700000, Approved
+2897,2, Graduate, No,5400000,17400000,10,335,5900000,1400000,18100000,4300000, Rejected
+2898,5, Not Graduate, No,6600000,13600000,4,861,11700000,8400000,14600000,5400000, Approved
+2899,4, Not Graduate, No,6000000,14900000,2,321,6900000,7700000,18000000,6500000, Rejected
+2900,0, Graduate, Yes,2200000,8300000,10,585,3600000,1700000,4300000,1900000, Approved
+2901,1, Graduate, No,8800000,18500000,10,704,14400000,3200000,26600000,11300000, Approved
+2902,0, Not Graduate, Yes,4000000,10300000,4,819,11100000,1200000,15200000,2600000, Approved
+2903,4, Not Graduate, Yes,3600000,12400000,18,494,5300000,100000,10200000,1900000, Rejected
+2904,5, Graduate, Yes,8100000,22500000,2,808,4800000,6100000,16900000,6000000, Approved
+2905,3, Not Graduate, Yes,5200000,11000000,12,830,8900000,5100000,16000000,7600000, Approved
+2906,5, Graduate, No,1100000,2800000,14,473,100000,500000,4200000,700000, Rejected
+2907,2, Graduate, No,7500000,29800000,4,392,5500000,2200000,20800000,4000000, Approved
+2908,5, Not Graduate, No,7700000,20300000,12,806,21300000,13300000,18900000,9600000, Approved
+2909,0, Not Graduate, No,5700000,21400000,8,340,3200000,1900000,17200000,3800000, Rejected
+2910,3, Graduate, Yes,5000000,13900000,8,555,12300000,6700000,18100000,4800000, Approved
+2911,5, Not Graduate, No,500000,1200000,16,499,600000,600000,1500000,200000, Rejected
+2912,3, Graduate, No,8900000,21300000,10,467,18700000,2600000,31800000,8800000, Rejected
+2913,1, Not Graduate, No,1700000,6600000,4,797,2800000,1900000,6100000,1300000, Approved
+2914,4, Not Graduate, Yes,500000,1300000,18,762,1400000,0,1600000,300000, Approved
+2915,3, Not Graduate, Yes,9900000,36500000,16,562,17300000,18500000,22300000,9800000, Approved
+2916,1, Graduate, No,8400000,21800000,2,492,4000000,11000000,18200000,6600000, Rejected
+2917,3, Not Graduate, Yes,500000,1700000,4,824,500000,600000,1400000,400000, Approved
+2918,2, Graduate, No,1700000,5700000,10,602,4900000,2700000,4500000,1800000, Approved
+2919,1, Not Graduate, Yes,6500000,18300000,10,722,11900000,8600000,19200000,4500000, Approved
+2920,1, Not Graduate, No,8900000,28400000,6,709,21600000,5500000,26200000,7900000, Approved
+2921,1, Not Graduate, No,400000,1400000,4,302,200000,100000,1500000,500000, Approved
+2922,3, Not Graduate, No,5700000,12300000,6,364,7900000,11000000,20000000,5500000, Rejected
+2923,0, Not Graduate, Yes,9600000,23800000,12,389,25200000,15800000,27000000,8300000, Rejected
+2924,0, Graduate, Yes,8500000,20000000,16,786,13300000,7400000,17700000,8900000, Approved
+2925,0, Graduate, No,4000000,11500000,8,434,4500000,2800000,8400000,5900000, Rejected
+2926,2, Not Graduate, Yes,6300000,18100000,6,671,7900000,8200000,13200000,5400000, Approved
+2927,3, Graduate, Yes,4000000,14700000,8,376,3000000,6200000,8900000,4200000, Rejected
+2928,4, Graduate, No,9400000,32200000,6,898,27600000,11800000,19500000,8600000, Approved
+2929,5, Graduate, Yes,4100000,15500000,10,836,10500000,1100000,15200000,3600000, Approved
+2930,4, Graduate, Yes,1100000,4400000,6,515,1000000,700000,4300000,1500000, Rejected
+2931,3, Not Graduate, No,8700000,24800000,20,360,25300000,8700000,31100000,4300000, Rejected
+2932,4, Graduate, Yes,4900000,12800000,2,691,200000,4900000,14700000,7000000, Approved
+2933,1, Not Graduate, Yes,2800000,9100000,14,510,2400000,4200000,10400000,3000000, Rejected
+2934,0, Graduate, No,9600000,23200000,18,389,1000000,17600000,22200000,8800000, Rejected
+2935,3, Graduate, Yes,6900000,19000000,14,348,4200000,3700000,19400000,4900000, Rejected
+2936,2, Not Graduate, Yes,2300000,8100000,2,504,1800000,3100000,4600000,3100000, Approved
+2937,2, Not Graduate, No,6800000,21300000,20,658,7800000,7000000,25900000,9600000, Approved
+2938,1, Not Graduate, Yes,2200000,5400000,16,641,5900000,0,4800000,1200000, Approved
+2939,2, Not Graduate, No,5900000,19800000,20,327,7800000,1500000,19700000,8500000, Rejected
+2940,1, Graduate, Yes,7000000,20300000,18,726,11600000,13100000,17100000,9000000, Approved
+2941,1, Graduate, Yes,9600000,34100000,20,828,26100000,19000000,20800000,12400000, Approved
+2942,0, Graduate, No,6500000,14500000,12,755,9000000,11900000,20800000,3400000, Approved
+2943,2, Not Graduate, Yes,3800000,7600000,20,788,1700000,5200000,9200000,5600000, Approved
+2944,2, Graduate, No,9400000,25100000,20,832,19400000,2100000,22300000,5900000, Approved
+2945,0, Not Graduate, No,2100000,8200000,4,554,3900000,3800000,5900000,1700000, Approved
+2946,1, Not Graduate, Yes,8500000,26200000,8,811,22800000,6400000,32500000,12700000, Approved
+2947,5, Graduate, Yes,3800000,12000000,2,649,6200000,5300000,10300000,4200000, Approved
+2948,1, Not Graduate, Yes,3400000,9700000,20,830,3500000,6400000,10300000,4800000, Approved
+2949,1, Graduate, Yes,5600000,11700000,6,707,4500000,800000,19000000,3900000, Approved
+2950,0, Graduate, Yes,8500000,33700000,10,483,18800000,8900000,29000000,12200000, Rejected
+2951,4, Not Graduate, Yes,2100000,5500000,18,349,100000,0,6600000,2000000, Rejected
+2952,4, Graduate, No,400000,1500000,4,846,300000,0,1600000,600000, Approved
+2953,4, Not Graduate, No,7900000,31500000,20,386,14300000,3800000,23800000,7500000, Rejected
+2954,5, Not Graduate, No,6900000,19200000,12,408,10000000,5000000,24900000,9000000, Rejected
+2955,0, Not Graduate, Yes,1800000,3900000,2,764,2200000,700000,3500000,1200000, Approved
+2956,0, Graduate, Yes,1200000,3200000,18,473,2100000,600000,2400000,1200000, Rejected
+2957,3, Not Graduate, No,3600000,9800000,12,654,600000,1300000,7500000,2200000, Approved
+2958,1, Graduate, No,7200000,22800000,2,551,15000000,8700000,21300000,9500000, Approved
+2959,5, Graduate, No,9400000,21800000,6,850,13300000,11700000,24800000,6800000, Approved
+2960,5, Graduate, No,9000000,24200000,4,646,12400000,5500000,18100000,11900000, Approved
+2961,1, Not Graduate, Yes,1000000,2100000,8,793,2900000,1300000,2200000,1400000, Approved
+2962,3, Not Graduate, No,5600000,19900000,16,551,14000000,4200000,16100000,4500000, Approved
+2963,1, Graduate, No,900000,2600000,4,346,400000,700000,2900000,900000, Rejected
+2964,5, Not Graduate, Yes,9000000,19100000,14,540,11300000,800000,18300000,4900000, Rejected
+2965,2, Not Graduate, No,3100000,9000000,20,892,5000000,5600000,7100000,4000000, Approved
+2966,1, Not Graduate, Yes,8000000,20700000,6,570,1000000,11700000,23200000,11300000, Approved
+2967,4, Not Graduate, Yes,3500000,11300000,16,874,1400000,3800000,10100000,3700000, Approved
+2968,4, Graduate, No,3900000,12600000,8,553,8200000,2500000,12300000,4500000, Approved
+2969,2, Graduate, No,9700000,34500000,10,649,10600000,7600000,24800000,5900000, Approved
+2970,4, Graduate, No,4500000,15800000,14,439,8900000,6900000,15200000,4400000, Rejected
+2971,5, Not Graduate, No,6800000,24800000,8,621,13000000,13500000,23300000,4800000, Approved
+2972,2, Not Graduate, No,6300000,18600000,14,872,9900000,11900000,16100000,7500000, Approved
+2973,2, Graduate, No,4900000,18500000,8,492,12900000,5000000,10200000,5800000, Rejected
+2974,0, Graduate, No,4800000,18600000,6,618,12300000,5900000,16800000,4000000, Approved
+2975,5, Graduate, No,7500000,15800000,18,458,7800000,6500000,22400000,8400000, Rejected
+2976,5, Not Graduate, No,5200000,13900000,4,422,7800000,4500000,12000000,7000000, Rejected
+2977,3, Not Graduate, Yes,9400000,30900000,20,873,22800000,17700000,19300000,9000000, Approved
+2978,5, Not Graduate, No,3200000,10000000,14,610,2900000,3800000,8600000,3500000, Approved
+2979,1, Not Graduate, Yes,3600000,13200000,20,546,8900000,3600000,13900000,2900000, Rejected
+2980,1, Not Graduate, Yes,3400000,7200000,8,741,4300000,6600000,11500000,3900000, Approved
+2981,3, Graduate, No,2100000,8200000,6,754,900000,2900000,4900000,1000000, Approved
+2982,1, Graduate, No,7200000,15100000,8,379,2600000,8300000,21700000,8200000, Rejected
+2983,5, Graduate, No,4500000,16900000,18,455,2700000,2500000,10700000,5600000, Rejected
+2984,0, Graduate, Yes,2600000,9000000,20,615,6800000,0,8400000,3400000, Approved
+2985,4, Graduate, Yes,6400000,21700000,10,384,16500000,8200000,15100000,5700000, Rejected
+2986,0, Graduate, No,6400000,25100000,16,628,16100000,2900000,18100000,6400000, Approved
+2987,3, Graduate, No,3100000,11200000,16,865,3600000,4600000,6600000,4200000, Approved
+2988,2, Graduate, No,1800000,5300000,2,679,1000000,1400000,5800000,900000, Approved
+2989,1, Graduate, Yes,9300000,19000000,14,689,24000000,11500000,35100000,9000000, Approved
+2990,5, Not Graduate, Yes,6500000,13800000,10,636,13000000,5500000,19400000,8100000, Approved
+2991,1, Not Graduate, No,3100000,6600000,20,837,4000000,4200000,12300000,4300000, Approved
+2992,3, Not Graduate, No,2300000,8500000,12,557,3600000,1400000,6200000,1300000, Approved
+2993,2, Graduate, No,500000,1700000,10,324,300000,300000,1800000,700000, Rejected
+2994,0, Not Graduate, Yes,3700000,9300000,14,531,8300000,1000000,8900000,1900000, Rejected
+2995,4, Not Graduate, Yes,8600000,21400000,14,476,6200000,2700000,28000000,12800000, Rejected
+2996,4, Graduate, No,2600000,8500000,4,775,600000,3800000,10400000,2600000, Approved
+2997,1, Not Graduate, Yes,7100000,18000000,20,477,6600000,13200000,19300000,9300000, Rejected
+2998,4, Not Graduate, Yes,7000000,19800000,16,682,9300000,5300000,14500000,7300000, Approved
+2999,5, Not Graduate, No,8300000,17700000,12,334,19600000,13200000,22500000,9800000, Rejected
+3000,3, Graduate, Yes,6800000,23900000,12,565,18800000,2800000,18800000,6700000, Approved
+3001,1, Not Graduate, Yes,9900000,25700000,2,340,15600000,18800000,29500000,11800000, Rejected
+3002,2, Graduate, No,5100000,11000000,14,322,7900000,2900000,10700000,5900000, Rejected
+3003,4, Graduate, Yes,3500000,10700000,8,883,200000,2300000,8400000,2000000, Approved
+3004,3, Graduate, Yes,4300000,12800000,16,346,3300000,1100000,11900000,3800000, Rejected
+3005,0, Graduate, Yes,5300000,20200000,2,861,500000,800000,16500000,6200000, Approved
+3006,5, Graduate, Yes,6400000,21900000,12,699,15700000,500000,17200000,3800000, Approved
+3007,0, Graduate, No,9300000,27200000,8,629,4500000,14300000,26900000,5000000, Approved
+3008,3, Graduate, No,1100000,3100000,14,359,1500000,1000000,4000000,1000000, Rejected
+3009,2, Not Graduate, No,7100000,27000000,10,430,20700000,8300000,24500000,4200000, Rejected
+3010,4, Not Graduate, No,1100000,3300000,18,417,1400000,1000000,4200000,700000, Rejected
+3011,2, Graduate, No,1900000,5200000,6,896,4300000,100000,6200000,2400000, Approved
+3012,0, Not Graduate, No,1300000,3900000,16,690,3600000,1700000,4700000,800000, Approved
+3013,5, Graduate, No,7500000,22800000,16,347,15100000,1200000,16100000,10700000, Rejected
+3014,4, Not Graduate, No,2400000,7000000,4,539,2300000,0,9600000,2900000, Rejected
+3015,4, Graduate, Yes,2500000,8000000,8,464,4000000,3000000,9000000,3000000, Rejected
+3016,4, Graduate, No,7500000,16200000,4,310,10800000,14300000,14900000,5800000, Rejected
+3017,3, Not Graduate, No,9300000,36600000,6,431,22000000,14600000,32900000,8800000, Rejected
+3018,5, Not Graduate, No,3300000,10000000,12,489,2000000,500000,7200000,2800000, Rejected
+3019,4, Not Graduate, Yes,5700000,13900000,12,775,1600000,3100000,15900000,7100000, Approved
+3020,4, Not Graduate, No,300000,600000,6,365,-100000,400000,600000,200000, Rejected
+3021,2, Not Graduate, Yes,1200000,4500000,10,555,100000,1100000,2700000,1400000, Approved
+3022,4, Graduate, Yes,8200000,29600000,10,457,6700000,6700000,21400000,11000000, Rejected
+3023,3, Not Graduate, No,5500000,12400000,8,580,800000,900000,19300000,7300000, Approved
+3024,4, Not Graduate, No,1800000,7200000,20,496,3000000,1100000,7200000,2000000, Rejected
+3025,0, Not Graduate, No,3500000,11400000,16,837,3700000,2100000,10000000,2700000, Approved
+3026,4, Not Graduate, Yes,6000000,13200000,6,455,7300000,5900000,16500000,7100000, Rejected
+3027,0, Graduate, Yes,2700000,9700000,20,551,1300000,1300000,7100000,1600000, Approved
+3028,4, Not Graduate, Yes,5900000,20700000,10,825,11700000,7900000,21000000,8500000, Approved
+3029,1, Not Graduate, Yes,2100000,4200000,18,554,3400000,800000,6400000,1500000, Approved
+3030,0, Not Graduate, Yes,2000000,5200000,18,400,1900000,1500000,5000000,1500000, Rejected
+3031,5, Not Graduate, No,9000000,34300000,10,853,22500000,11900000,32200000,10100000, Approved
+3032,1, Not Graduate, Yes,7600000,18800000,14,403,20900000,4700000,24700000,10000000, Rejected
+3033,3, Graduate, No,500000,1500000,6,392,1400000,200000,1800000,600000, Rejected
+3034,1, Graduate, No,6300000,19000000,20,673,14600000,8100000,16000000,4200000, Approved
+3035,0, Graduate, Yes,3100000,7100000,10,498,3800000,1100000,12200000,4300000, Rejected
+3036,1, Not Graduate, No,1100000,2600000,6,858,1800000,1900000,2700000,600000, Approved
+3037,4, Graduate, Yes,3900000,14300000,20,477,1000000,4600000,9100000,2900000, Rejected
+3038,4, Not Graduate, Yes,8700000,28200000,12,548,11800000,9900000,19800000,8500000, Rejected
+3039,4, Not Graduate, Yes,6400000,23900000,6,300,16200000,11600000,24900000,7000000, Rejected
+3040,2, Graduate, Yes,200000,800000,12,483,100000,200000,600000,300000, Rejected
+3041,1, Graduate, No,2400000,5800000,20,384,1700000,2500000,8400000,3100000, Rejected
+3042,3, Not Graduate, No,8900000,35200000,10,894,17100000,5600000,27700000,9800000, Approved
+3043,3, Not Graduate, No,6100000,14800000,10,492,6700000,3500000,17900000,6100000, Rejected
+3044,5, Not Graduate, Yes,7600000,25700000,4,607,12900000,13600000,29100000,4900000, Approved
+3045,3, Not Graduate, No,900000,2400000,16,701,700000,0,2000000,400000, Approved
+3046,2, Not Graduate, Yes,7100000,19700000,20,890,13900000,3900000,22200000,4000000, Approved
+3047,2, Not Graduate, Yes,5000000,14600000,10,808,4400000,3500000,17300000,3100000, Approved
+3048,4, Graduate, Yes,2000000,7400000,20,596,600000,2300000,4900000,2500000, Approved
+3049,4, Graduate, Yes,2600000,6200000,14,421,2500000,2200000,8900000,3400000, Rejected
+3050,2, Graduate, Yes,7000000,14900000,20,495,9900000,8800000,14000000,10200000, Rejected
+3051,3, Graduate, No,3900000,9800000,6,604,10900000,7300000,7700000,3300000, Approved
+3052,3, Graduate, No,8400000,32600000,4,509,22700000,12600000,32400000,8700000, Approved
+3053,0, Graduate, Yes,200000,600000,8,852,500000,0,400000,200000, Approved
+3054,2, Not Graduate, Yes,1900000,6700000,16,893,5600000,3600000,6300000,1600000, Approved
+3055,2, Not Graduate, Yes,9200000,33000000,14,874,3900000,9700000,31200000,6600000, Approved
+3056,3, Not Graduate, Yes,300000,500000,6,386,800000,200000,1200000,100000, Rejected
+3057,5, Graduate, No,6300000,18100000,4,590,5400000,10900000,22400000,8600000, Approved
+3058,2, Not Graduate, No,6100000,23500000,14,510,9000000,9500000,12400000,3400000, Rejected
+3059,3, Graduate, Yes,7800000,25600000,6,523,13600000,7100000,20800000,9200000, Rejected
+3060,0, Graduate, Yes,2000000,6700000,8,461,4900000,2200000,7200000,2600000, Rejected
+3061,4, Not Graduate, No,1900000,5600000,2,832,2700000,3300000,7100000,2400000, Approved
+3062,2, Not Graduate, Yes,3300000,9600000,18,896,9900000,900000,12100000,4900000, Approved
+3063,0, Not Graduate, Yes,9500000,26000000,2,732,22500000,15600000,20400000,9300000, Approved
+3064,0, Graduate, Yes,3500000,13900000,16,301,10300000,100000,8700000,2700000, Rejected
+3065,5, Graduate, No,4400000,15800000,4,701,4100000,6300000,17100000,4100000, Approved
+3066,2, Not Graduate, No,2000000,4000000,14,502,4900000,1500000,5400000,1300000, Rejected
+3067,3, Not Graduate, No,9200000,19500000,12,742,18300000,9900000,19500000,13700000, Approved
+3068,1, Not Graduate, No,2200000,5000000,2,755,1100000,2500000,6700000,3200000, Approved
+3069,1, Not Graduate, No,1900000,7100000,2,834,3900000,2300000,5800000,1400000, Approved
+3070,5, Graduate, Yes,8700000,18400000,12,394,18800000,3200000,24600000,12000000, Rejected
+3071,3, Graduate, Yes,9700000,19700000,4,663,16700000,2200000,36200000,5200000, Approved
+3072,3, Graduate, No,9400000,20300000,10,649,19600000,6700000,36100000,10000000, Approved
+3073,4, Not Graduate, Yes,8000000,23200000,14,738,10900000,12100000,19900000,5400000, Approved
+3074,5, Not Graduate, No,1000000,2000000,4,524,2700000,1800000,2200000,700000, Rejected
+3075,5, Not Graduate, No,5300000,14600000,16,855,4200000,1600000,11200000,7400000, Approved
+3076,3, Graduate, Yes,1400000,5400000,20,304,1700000,1300000,2900000,800000, Rejected
+3077,2, Graduate, Yes,1600000,3800000,12,532,3200000,1400000,5400000,1100000, Rejected
+3078,3, Graduate, Yes,3400000,8500000,6,584,4200000,4700000,6800000,3700000, Approved
+3079,3, Graduate, No,7800000,28700000,4,447,7200000,9500000,20100000,11300000, Approved
+3080,4, Not Graduate, No,7100000,19900000,14,852,4700000,3200000,19700000,7600000, Approved
+3081,1, Not Graduate, Yes,6000000,13100000,2,368,9900000,2200000,13700000,4900000, Rejected
+3082,3, Not Graduate, Yes,8200000,28900000,10,447,4400000,14700000,29400000,6800000, Rejected
+3083,4, Graduate, No,3900000,11400000,20,867,3800000,1100000,13600000,3200000, Approved
+3084,5, Not Graduate, Yes,8400000,17600000,12,397,13400000,14500000,24500000,7900000, Rejected
+3085,4, Graduate, No,9700000,19400000,20,798,6400000,13700000,20300000,12800000, Approved
+3086,1, Not Graduate, Yes,8300000,26300000,20,530,22800000,11000000,33200000,8000000, Rejected
+3087,4, Graduate, No,2500000,9900000,16,356,5500000,2600000,6100000,2300000, Rejected
+3088,3, Graduate, No,6100000,24000000,18,718,4100000,3400000,16600000,6800000, Approved
+3089,3, Not Graduate, No,5000000,13000000,10,459,2900000,3400000,18200000,7200000, Rejected
+3090,3, Not Graduate, No,9500000,22200000,8,571,4400000,8600000,24400000,10500000, Approved
+3091,2, Graduate, No,5700000,20500000,8,412,5800000,4300000,21200000,4900000, Rejected
+3092,1, Graduate, Yes,5000000,12500000,20,604,4100000,100000,12200000,7400000, Approved
+3093,4, Not Graduate, Yes,8600000,20600000,16,449,10800000,10600000,28700000,5400000, Rejected
+3094,5, Not Graduate, No,1400000,5300000,12,778,1600000,700000,4400000,700000, Approved
+3095,3, Graduate, No,5900000,21200000,16,476,11700000,4800000,14800000,7700000, Rejected
+3096,4, Graduate, Yes,4100000,10400000,12,727,11900000,5900000,16400000,4400000, Approved
+3097,3, Graduate, No,7400000,18500000,8,818,10400000,8800000,28000000,8400000, Approved
+3098,1, Graduate, Yes,7100000,19300000,16,738,7200000,0,24300000,3600000, Approved
+3099,5, Graduate, Yes,5300000,18200000,16,546,14600000,7900000,13400000,4000000, Rejected
+3100,2, Not Graduate, No,6600000,14100000,2,471,10800000,11400000,20700000,6000000, Rejected
+3101,3, Not Graduate, No,2800000,10600000,4,860,5200000,4700000,6700000,2900000, Approved
+3102,1, Not Graduate, Yes,1600000,4400000,4,364,2500000,700000,4300000,2400000, Rejected
+3103,0, Graduate, Yes,8500000,25300000,20,557,13000000,5100000,23900000,7100000, Approved
+3104,1, Not Graduate, Yes,5200000,20700000,12,612,2200000,2600000,16500000,3200000, Approved
+3105,2, Not Graduate, Yes,6400000,19300000,6,414,7200000,1800000,19100000,3900000, Rejected
+3106,5, Graduate, No,1300000,2900000,4,372,1700000,100000,2800000,600000, Rejected
+3107,0, Graduate, No,5600000,11600000,12,466,15000000,7400000,21800000,7500000, Rejected
+3108,3, Graduate, Yes,9000000,19800000,20,348,8600000,9200000,25300000,6000000, Rejected
+3109,1, Not Graduate, Yes,7800000,17200000,4,597,3700000,12700000,17400000,8500000, Approved
+3110,4, Not Graduate, Yes,4000000,11000000,8,791,500000,4700000,10300000,3000000, Approved
+3111,0, Graduate, Yes,700000,1800000,12,400,1500000,1100000,2200000,300000, Rejected
+3112,5, Graduate, Yes,7300000,18700000,16,813,6600000,8200000,20000000,5800000, Approved
+3113,0, Not Graduate, Yes,5200000,15400000,4,675,15300000,8800000,12800000,2900000, Approved
+3114,1, Not Graduate, No,6200000,18200000,18,324,3100000,12000000,19200000,3400000, Rejected
+3115,4, Graduate, No,1100000,3600000,8,693,2400000,1300000,3800000,1500000, Approved
+3116,1, Not Graduate, Yes,5600000,13700000,8,491,10100000,3700000,18500000,4200000, Rejected
+3117,5, Graduate, Yes,3400000,9800000,8,559,3500000,2900000,8300000,2200000, Approved
+3118,4, Graduate, No,1500000,4900000,16,392,1800000,1100000,3000000,2000000, Rejected
+3119,2, Not Graduate, No,5800000,18600000,18,532,10900000,900000,12300000,6700000, Rejected
+3120,4, Not Graduate, No,9800000,29400000,8,592,29100000,16700000,35900000,9000000, Approved
+3121,5, Not Graduate, No,8300000,23100000,4,459,5500000,14300000,28400000,5500000, Rejected
+3122,4, Graduate, Yes,500000,1200000,4,627,0,500000,1800000,700000, Approved
+3123,4, Graduate, No,1900000,6100000,2,462,2100000,3300000,5400000,2500000, Approved
+3124,1, Not Graduate, Yes,9700000,24700000,14,600,13600000,14000000,35500000,6700000, Approved
+3125,5, Not Graduate, No,1800000,6200000,18,366,3500000,2400000,6300000,1300000, Rejected
+3126,0, Graduate, Yes,3300000,9700000,14,356,9800000,4800000,9400000,1900000, Rejected
+3127,5, Graduate, No,900000,2300000,16,590,1200000,1500000,2100000,900000, Approved
+3128,5, Graduate, Yes,8200000,28900000,4,485,16500000,3000000,19400000,6800000, Approved
+3129,1, Not Graduate, Yes,500000,1700000,18,617,400000,100000,1400000,500000, Approved
+3130,5, Graduate, Yes,1000000,2600000,8,664,900000,1200000,3500000,900000, Approved
+3131,3, Not Graduate, No,7100000,27900000,8,583,8900000,7600000,19600000,6300000, Approved
+3132,1, Graduate, Yes,200000,400000,18,859,300000,100000,400000,200000, Approved
+3133,2, Graduate, No,3100000,7300000,14,504,3200000,0,7200000,1500000, Rejected
+3134,4, Graduate, No,700000,2300000,16,688,1500000,300000,1900000,400000, Approved
+3135,3, Not Graduate, No,1800000,5700000,2,422,4800000,0,3700000,2300000, Approved
+3136,3, Not Graduate, Yes,8400000,27000000,8,746,15000000,8400000,27000000,12500000, Approved
+3137,3, Graduate, No,7400000,17500000,20,317,17700000,14000000,27000000,9500000, Rejected
+3138,2, Not Graduate, Yes,6700000,20200000,6,701,8800000,12200000,13900000,8200000, Approved
+3139,1, Graduate, Yes,1700000,6000000,16,754,3900000,1500000,6400000,1800000, Approved
+3140,3, Not Graduate, Yes,300000,600000,10,515,300000,200000,1000000,200000, Rejected
+3141,1, Graduate, Yes,3800000,8800000,12,670,5200000,4700000,12200000,3800000, Approved
+3142,5, Graduate, Yes,1300000,4000000,8,407,3800000,1300000,3500000,1100000, Rejected
+3143,5, Not Graduate, Yes,3100000,10900000,12,884,6100000,3700000,12300000,4100000, Approved
+3144,1, Graduate, Yes,200000,400000,20,882,400000,100000,300000,0, Approved
+3145,2, Not Graduate, Yes,8100000,24700000,6,595,5500000,14300000,27300000,6500000, Approved
+3146,1, Not Graduate, Yes,8900000,22900000,4,757,8200000,11600000,17800000,7800000, Approved
+3147,5, Graduate, Yes,4200000,8500000,4,386,8700000,4600000,10500000,6000000, Rejected
+3148,5, Not Graduate, Yes,4100000,11100000,18,756,1700000,3000000,10800000,3000000, Approved
+3149,3, Not Graduate, No,8300000,25700000,12,453,24000000,14600000,20400000,5700000, Rejected
+3150,3, Not Graduate, No,7500000,25200000,8,316,1000000,800000,18300000,9000000, Rejected
+3151,3, Graduate, No,2100000,7700000,6,703,700000,4000000,8200000,1300000, Approved
+3152,3, Graduate, No,1400000,3200000,8,753,2200000,2000000,3600000,2000000, Approved
+3153,0, Not Graduate, No,6900000,23500000,2,621,7800000,7300000,23100000,9400000, Approved
+3154,0, Graduate, Yes,2500000,9100000,10,852,5000000,4700000,7400000,1500000, Approved
+3155,3, Not Graduate, Yes,3800000,9400000,12,301,7800000,2800000,14900000,5000000, Rejected
+3156,3, Not Graduate, Yes,7700000,29300000,10,359,6800000,6100000,21900000,4200000, Rejected
+3157,1, Not Graduate, No,3200000,6600000,16,534,8800000,2600000,6500000,1800000, Rejected
+3158,0, Not Graduate, Yes,8600000,20000000,10,704,25400000,10000000,30800000,10300000, Approved
+3159,3, Not Graduate, Yes,3800000,13700000,16,662,4800000,400000,12400000,5300000, Approved
+3160,3, Graduate, No,8400000,31100000,18,599,20600000,14100000,20500000,8500000, Approved
+3161,1, Graduate, No,1600000,5400000,4,319,4200000,2200000,4200000,1600000, Approved
+3162,2, Not Graduate, No,7800000,19400000,16,549,18600000,13300000,24100000,6900000, Rejected
+3163,1, Graduate, Yes,9400000,21000000,12,443,14100000,2700000,23200000,5600000, Rejected
+3164,3, Not Graduate, Yes,9900000,26700000,10,550,22200000,15900000,36800000,6600000, Approved
+3165,4, Not Graduate, No,2400000,8000000,18,393,-100000,200000,7600000,3000000, Rejected
+3166,2, Graduate, Yes,7500000,15100000,8,488,19800000,0,28500000,6700000, Rejected
+3167,5, Graduate, No,3300000,11800000,16,845,6000000,1500000,9200000,2600000, Approved
+3168,2, Graduate, No,5500000,19000000,2,382,12500000,1000000,15200000,8100000, Approved
+3169,5, Not Graduate, No,2400000,7500000,12,357,2600000,2900000,6100000,1300000, Rejected
+3170,1, Not Graduate, Yes,8700000,27500000,16,815,8000000,13400000,23600000,5900000, Approved
+3171,1, Not Graduate, No,9600000,26000000,16,368,18500000,16600000,29900000,8400000, Rejected
+3172,0, Graduate, No,8400000,19800000,16,674,500000,12200000,27400000,10700000, Approved
+3173,5, Not Graduate, No,9200000,23900000,10,335,5800000,15300000,35400000,10700000, Rejected
+3174,2, Graduate, Yes,4600000,12600000,2,355,6300000,6900000,14800000,6500000, Rejected
+3175,5, Not Graduate, No,7600000,17500000,6,510,9100000,3500000,15700000,9800000, Rejected
+3176,4, Graduate, No,8500000,17800000,4,698,6700000,4300000,28600000,8000000, Approved
+3177,4, Not Graduate, Yes,3100000,8200000,18,408,2900000,3800000,10800000,3100000, Rejected
+3178,3, Graduate, Yes,4900000,13100000,18,401,5700000,4100000,16400000,3600000, Rejected
+3179,5, Not Graduate, Yes,5800000,14000000,14,418,3900000,10400000,15100000,6800000, Rejected
+3180,0, Not Graduate, No,5700000,21300000,4,697,3000000,6800000,20000000,5500000, Approved
+3181,4, Graduate, No,3200000,12200000,14,683,-100000,1100000,7500000,2900000, Rejected
+3182,4, Not Graduate, Yes,8000000,31500000,16,763,14900000,8800000,17600000,8900000, Approved
+3183,4, Not Graduate, No,5000000,11400000,6,336,1600000,4000000,15500000,2500000, Rejected
+3184,2, Not Graduate, Yes,2900000,8300000,10,693,7500000,1900000,9700000,4300000, Approved
+3185,2, Not Graduate, No,6400000,23900000,18,745,14800000,4000000,16300000,7000000, Approved
+3186,5, Graduate, No,6300000,22500000,18,629,300000,3900000,23100000,8000000, Approved
+3187,0, Not Graduate, No,5900000,23300000,16,581,2200000,8100000,14900000,5800000, Approved
+3188,1, Graduate, No,8100000,29600000,4,672,8200000,5100000,21100000,5400000, Approved
+3189,5, Graduate, Yes,7100000,20100000,4,700,16900000,2900000,15600000,4500000, Approved
+3190,1, Not Graduate, No,1400000,4400000,14,787,1600000,1200000,4200000,800000, Approved
+3191,3, Graduate, Yes,2300000,8000000,8,300,4200000,3800000,7300000,1200000, Rejected
+3192,1, Graduate, No,7400000,16100000,4,655,22000000,12900000,25300000,4300000, Approved
+3193,0, Graduate, Yes,5300000,13300000,12,572,4200000,2500000,18000000,7100000, Approved
+3194,5, Graduate, Yes,7700000,16400000,2,663,1100000,14800000,15800000,3900000, Approved
+3195,0, Not Graduate, No,5000000,10700000,16,726,1600000,1100000,15700000,4800000, Approved
+3196,5, Not Graduate, Yes,6000000,12300000,12,680,11400000,5300000,13800000,7300000, Approved
+3197,0, Graduate, No,1400000,2700000,2,685,3400000,800000,5400000,1300000, Approved
+3198,5, Not Graduate, Yes,9400000,23100000,6,762,12400000,10200000,22300000,6600000, Approved
+3199,3, Not Graduate, No,5200000,17200000,18,768,9200000,5500000,11700000,3800000, Approved
+3200,0, Graduate, No,3100000,11100000,8,504,3500000,4600000,11400000,1800000, Rejected
+3201,3, Not Graduate, Yes,8400000,20500000,12,796,22900000,10500000,17600000,11200000, Approved
+3202,0, Not Graduate, No,1200000,2900000,18,348,400000,1200000,2900000,600000, Rejected
+3203,5, Not Graduate, Yes,4800000,13100000,6,717,8300000,8900000,18300000,2800000, Approved
+3204,5, Not Graduate, Yes,9200000,34200000,4,565,500000,13900000,23600000,12300000, Approved
+3205,2, Not Graduate, No,5300000,10900000,6,647,14600000,3500000,18700000,3200000, Approved
+3206,3, Graduate, No,4700000,10900000,2,626,9200000,2300000,14600000,5200000, Approved
+3207,0, Not Graduate, No,6500000,24700000,6,554,2700000,1100000,22700000,9600000, Approved
+3208,4, Graduate, Yes,3200000,11500000,20,864,8700000,5000000,12100000,4100000, Approved
+3209,4, Graduate, No,4600000,12500000,6,406,10800000,200000,14000000,6800000, Rejected
+3210,5, Graduate, No,700000,1800000,10,650,1300000,100000,1500000,300000, Approved
+3211,5, Not Graduate, Yes,7600000,16500000,8,534,8900000,10300000,24900000,8300000, Rejected
+3212,4, Graduate, No,1200000,2600000,8,872,1600000,2100000,2700000,900000, Approved
+3213,2, Graduate, No,5100000,16500000,12,845,12100000,9000000,11400000,5700000, Approved
+3214,1, Not Graduate, Yes,4300000,16300000,14,792,400000,400000,10200000,4000000, Rejected
+3215,4, Graduate, No,300000,1200000,18,544,700000,100000,800000,100000, Rejected
+3216,2, Graduate, Yes,4000000,13000000,10,552,3700000,1600000,15600000,3400000, Approved
+3217,5, Not Graduate, No,3900000,14900000,12,837,1100000,500000,14400000,3600000, Approved
+3218,0, Not Graduate, Yes,6900000,21300000,18,845,17400000,5600000,21400000,6600000, Approved
+3219,4, Not Graduate, Yes,7000000,24100000,10,677,18800000,6000000,21600000,6300000, Approved
+3220,1, Graduate, No,6300000,18300000,20,430,13000000,1300000,23000000,9200000, Rejected
+3221,3, Graduate, Yes,8900000,22500000,12,887,23300000,10800000,33500000,9500000, Approved
+3222,0, Not Graduate, Yes,5700000,19400000,8,544,4300000,6400000,19900000,5800000, Rejected
+3223,4, Not Graduate, Yes,5200000,18300000,10,355,400000,3800000,10600000,3400000, Rejected
+3224,4, Graduate, No,7400000,17500000,4,540,8800000,7600000,17900000,3600000, Rejected
+3225,5, Graduate, No,6500000,16000000,14,444,1100000,7900000,23100000,7900000, Rejected
+3226,3, Graduate, No,6200000,14900000,14,567,1200000,9100000,20800000,8800000, Approved
+3227,5, Not Graduate, Yes,2400000,6500000,20,513,6400000,2100000,5200000,2600000, Rejected
+3228,0, Not Graduate, No,2500000,7100000,10,590,4000000,800000,6100000,2600000, Approved
+3229,2, Graduate, Yes,2700000,8500000,20,368,4900000,4500000,5900000,2100000, Rejected
+3230,5, Not Graduate, No,3000000,7600000,6,413,2300000,3500000,11400000,1700000, Rejected
+3231,4, Graduate, Yes,6100000,13600000,4,401,10700000,2000000,20500000,3900000, Rejected
+3232,3, Graduate, No,1500000,5400000,18,687,200000,400000,4500000,1700000, Approved
+3233,2, Graduate, No,6500000,14100000,14,577,4600000,12000000,25100000,3900000, Approved
+3234,4, Not Graduate, No,200000,700000,10,576,500000,100000,400000,300000, Approved
+3235,1, Not Graduate, No,9900000,23400000,16,687,28200000,3700000,29600000,8200000, Approved
+3236,4, Graduate, No,5500000,11600000,12,474,1800000,2400000,20100000,5600000, Rejected
+3237,4, Graduate, No,1200000,4400000,6,709,2800000,2300000,4100000,1700000, Approved
+3238,4, Graduate, Yes,6900000,20200000,18,438,9600000,6200000,26800000,5700000, Rejected
+3239,3, Graduate, Yes,8000000,25300000,4,306,22300000,7300000,24400000,6600000, Approved
+3240,3, Not Graduate, Yes,4100000,13900000,20,383,1900000,2300000,15800000,3800000, Rejected
+3241,2, Graduate, No,1400000,4700000,20,563,400000,2300000,2800000,1400000, Approved
+3242,4, Not Graduate, Yes,1600000,3200000,20,371,1600000,2300000,4600000,1000000, Rejected
+3243,1, Graduate, No,2100000,4200000,12,379,2700000,2100000,8100000,2500000, Rejected
+3244,1, Not Graduate, No,8800000,30200000,18,897,17100000,7900000,28700000,11100000, Approved
+3245,3, Not Graduate, Yes,7100000,25400000,10,725,20600000,5300000,16000000,8600000, Approved
+3246,1, Not Graduate, No,8600000,31500000,16,678,19700000,13400000,22200000,5300000, Approved
+3247,2, Not Graduate, Yes,5400000,14800000,6,724,1000000,400000,13100000,5400000, Approved
+3248,3, Graduate, Yes,1000000,2500000,6,808,2900000,600000,2000000,500000, Approved
+3249,0, Graduate, No,5400000,18400000,8,625,12100000,3000000,13000000,4800000, Approved
+3250,2, Graduate, No,4200000,16800000,4,771,6500000,4500000,10500000,5800000, Approved
+3251,2, Not Graduate, No,7500000,22400000,14,695,8100000,3900000,15300000,9400000, Approved
+3252,4, Graduate, No,1200000,3300000,2,564,2200000,500000,4700000,1100000, Approved
+3253,4, Graduate, Yes,6300000,14500000,10,349,3800000,12300000,16500000,5700000, Rejected
+3254,4, Graduate, Yes,300000,900000,4,797,300000,400000,600000,400000, Approved
+3255,3, Graduate, No,7400000,28800000,8,391,20000000,7900000,23600000,7200000, Rejected
+3256,5, Not Graduate, No,2200000,5400000,12,833,4900000,3300000,7000000,1600000, Approved
+3257,5, Graduate, No,4000000,9100000,10,515,600000,6400000,9900000,5500000, Rejected
+3258,4, Graduate, Yes,2700000,10400000,16,671,6100000,3700000,5600000,4000000, Approved
+3259,0, Not Graduate, Yes,2000000,6900000,4,404,4900000,1600000,4200000,3000000, Approved
+3260,4, Not Graduate, No,6400000,14800000,6,537,2300000,3700000,18600000,6500000, Rejected
+3261,5, Not Graduate, Yes,1400000,5100000,4,348,2100000,900000,4000000,1300000, Approved
+3262,0, Not Graduate, Yes,2800000,6300000,12,647,4100000,0,8700000,2300000, Approved
+3263,2, Not Graduate, Yes,8200000,28700000,14,316,23300000,16100000,17700000,4300000, Rejected
+3264,3, Not Graduate, No,9000000,26700000,14,638,5300000,0,31300000,5200000, Approved
+3265,5, Not Graduate, Yes,800000,2100000,12,363,1200000,1000000,3100000,900000, Rejected
+3266,4, Not Graduate, Yes,6100000,21200000,6,808,700000,7200000,22300000,6100000, Approved
+3267,4, Not Graduate, Yes,2400000,9400000,2,871,3700000,300000,7100000,3500000, Approved
+3268,4, Graduate, Yes,6000000,17000000,12,607,15300000,3200000,22100000,3900000, Approved
+3269,2, Not Graduate, Yes,7900000,22500000,6,571,8100000,5300000,17900000,8100000, Approved
+3270,3, Graduate, Yes,9500000,25700000,18,446,16900000,13600000,29300000,10100000, Rejected
+3271,3, Not Graduate, Yes,1800000,6400000,20,436,1500000,2900000,4400000,1300000, Rejected
+3272,3, Not Graduate, Yes,5800000,14100000,12,738,11700000,4400000,15400000,8400000, Approved
+3273,3, Graduate, No,2800000,9400000,10,519,7000000,3500000,7700000,1500000, Rejected
+3274,3, Graduate, Yes,4000000,8300000,8,531,3700000,7400000,15200000,5900000, Rejected
+3275,1, Not Graduate, No,1000000,3400000,18,578,2300000,400000,3100000,1200000, Approved
+3276,0, Graduate, No,9100000,21100000,20,578,5900000,6200000,33700000,5600000, Approved
+3277,0, Graduate, No,4600000,18100000,14,442,2800000,200000,15600000,3300000, Rejected
+3278,2, Not Graduate, No,7800000,16900000,6,751,17400000,6300000,20400000,11700000, Approved
+3279,4, Graduate, Yes,6600000,18800000,10,353,16500000,9500000,20000000,6200000, Rejected
+3280,5, Not Graduate, No,9800000,26600000,12,664,5200000,2900000,22500000,14100000, Approved
+3281,1, Graduate, No,7400000,26600000,18,505,2200000,2400000,22400000,3900000, Rejected
+3282,3, Graduate, Yes,4300000,16600000,10,571,5700000,3700000,12800000,5800000, Approved
+3283,2, Not Graduate, Yes,9800000,34600000,16,754,12400000,14900000,34700000,6100000, Approved
+3284,5, Not Graduate, No,1100000,3900000,20,858,3200000,1200000,3800000,1100000, Approved
+3285,3, Graduate, Yes,8600000,21800000,20,641,5300000,8800000,24000000,9100000, Approved
+3286,0, Not Graduate, Yes,9400000,35500000,16,592,9300000,11800000,30500000,5800000, Approved
+3287,3, Graduate, Yes,5300000,20300000,14,432,15000000,0,17200000,5900000, Rejected
+3288,1, Not Graduate, Yes,8700000,33800000,18,558,18300000,11500000,31500000,5900000, Approved
+3289,3, Graduate, Yes,4800000,14200000,12,547,10400000,700000,9800000,2400000, Rejected
+3290,4, Not Graduate, No,4400000,9800000,18,732,2400000,2400000,15100000,4400000, Approved
+3291,1, Graduate, Yes,5400000,19300000,12,784,5000000,1800000,20300000,6500000, Approved
+3292,5, Not Graduate, Yes,8400000,31900000,10,605,18900000,10300000,22000000,9100000, Approved
+3293,1, Graduate, Yes,5400000,19500000,18,688,12100000,800000,17000000,3500000, Approved
+3294,3, Not Graduate, Yes,9400000,32100000,10,617,22700000,5800000,29400000,11400000, Approved
+3295,0, Not Graduate, Yes,800000,2400000,4,518,500000,800000,2800000,500000, Approved
+3296,0, Not Graduate, No,3800000,14800000,10,390,5900000,5700000,9500000,4600000, Rejected
+3297,4, Graduate, No,3100000,6300000,4,370,8600000,4100000,8800000,2800000, Rejected
+3298,3, Not Graduate, Yes,6000000,21300000,4,802,4700000,8900000,17300000,7600000, Approved
+3299,2, Not Graduate, Yes,6800000,15500000,12,338,9900000,1200000,21800000,8500000, Rejected
+3300,5, Not Graduate, No,5200000,11700000,6,658,8100000,5100000,11400000,5600000, Approved
+3301,0, Not Graduate, No,1900000,6700000,12,595,3000000,3200000,4900000,1700000, Approved
+3302,5, Graduate, Yes,3600000,8500000,20,594,4400000,6400000,7400000,4500000, Approved
+3303,3, Graduate, Yes,1500000,4100000,14,611,600000,2000000,4800000,2100000, Approved
+3304,3, Not Graduate, No,2000000,5800000,8,799,3000000,3100000,5500000,1000000, Approved
+3305,5, Graduate, No,9200000,18600000,20,497,1000000,300000,24200000,10700000, Rejected
+3306,0, Not Graduate, Yes,6100000,15900000,18,456,12900000,10800000,19100000,8800000, Rejected
+3307,5, Not Graduate, No,300000,500000,8,396,400000,300000,1200000,200000, Rejected
+3308,1, Graduate, No,800000,2300000,10,770,900000,900000,2900000,1100000, Approved
+3309,0, Not Graduate, No,3300000,9000000,16,797,3000000,6400000,10300000,3300000, Approved
+3310,1, Not Graduate, No,5800000,18700000,20,586,14100000,3000000,15600000,6000000, Approved
+3311,5, Not Graduate, No,8500000,23400000,16,604,25100000,16500000,24500000,4800000, Approved
+3312,0, Not Graduate, Yes,4100000,12800000,8,799,3700000,700000,9400000,2700000, Approved
+3313,2, Graduate, No,7800000,26400000,4,763,2200000,8400000,16600000,6700000, Approved
+3314,0, Graduate, No,7500000,23000000,14,725,8900000,4800000,20200000,7100000, Approved
+3315,2, Graduate, No,2300000,8800000,18,336,1800000,800000,5200000,1500000, Rejected
+3316,4, Graduate, Yes,600000,2300000,6,495,1700000,600000,2000000,300000, Rejected
+3317,1, Not Graduate, No,2900000,11500000,20,431,3600000,3800000,5900000,3100000, Rejected
+3318,5, Not Graduate, No,900000,2200000,2,415,600000,1700000,2900000,700000, Rejected
+3319,5, Graduate, Yes,9000000,20400000,6,451,5200000,11400000,28200000,9000000, Rejected
+3320,1, Not Graduate, No,4800000,14300000,4,489,12400000,7900000,17700000,3600000, Rejected
+3321,1, Graduate, No,1600000,4600000,12,415,800000,600000,3900000,1500000, Rejected
+3322,3, Not Graduate, No,2600000,8100000,12,425,7300000,1900000,6800000,2200000, Rejected
+3323,4, Graduate, Yes,1800000,4600000,14,453,1700000,2400000,4700000,1600000, Rejected
+3324,5, Graduate, Yes,4400000,11800000,20,634,5900000,7300000,15200000,4300000, Approved
+3325,2, Not Graduate, No,200000,300000,20,519,0,0,400000,300000, Rejected
+3326,4, Not Graduate, Yes,800000,2100000,6,353,700000,300000,2900000,1200000, Rejected
+3327,3, Graduate, No,1500000,3200000,4,767,2000000,400000,3700000,1400000, Approved
+3328,0, Not Graduate, Yes,7700000,16900000,14,473,22100000,4000000,29000000,6400000, Rejected
+3329,5, Graduate, Yes,7200000,21300000,2,801,9900000,1700000,20400000,7200000, Approved
+3330,4, Graduate, No,1000000,2300000,16,543,200000,100000,2000000,1000000, Rejected
+3331,1, Graduate, No,6300000,17200000,12,714,10100000,4200000,24700000,8500000, Approved
+3332,3, Graduate, No,1900000,4100000,12,830,4600000,1100000,5300000,2100000, Approved
+3333,5, Graduate, No,4400000,15300000,4,401,200000,5400000,17500000,2400000, Approved
+3334,0, Not Graduate, No,9100000,26400000,6,518,15800000,1100000,35300000,5700000, Rejected
+3335,2, Graduate, Yes,900000,2300000,20,367,0,1200000,3400000,1300000, Rejected
+3336,0, Graduate, Yes,4600000,12000000,12,493,4500000,700000,16200000,3600000, Rejected
+3337,2, Graduate, Yes,9400000,22700000,14,505,4000000,16900000,24700000,11500000, Rejected
+3338,5, Graduate, No,6900000,26500000,16,322,20500000,9800000,17100000,9400000, Rejected
+3339,2, Graduate, No,300000,900000,8,735,800000,400000,500000,100000, Approved
+3340,5, Graduate, Yes,1900000,6700000,2,622,4200000,200000,3900000,1700000, Approved
+3341,4, Graduate, Yes,4400000,16400000,6,513,5400000,7500000,13100000,5700000, Rejected
+3342,4, Not Graduate, Yes,1200000,4100000,16,585,900000,900000,2300000,900000, Approved
+3343,1, Graduate, Yes,1000000,3000000,10,813,2900000,500000,3300000,800000, Approved
+3344,0, Graduate, No,3100000,10400000,18,622,1300000,5000000,7200000,1600000, Approved
+3345,1, Graduate, Yes,2100000,6300000,16,899,2400000,2200000,4400000,2200000, Approved
+3346,0, Not Graduate, No,2100000,4700000,2,459,4000000,1300000,8100000,1200000, Rejected
+3347,4, Graduate, No,9400000,33300000,18,369,20600000,5600000,32200000,7200000, Rejected
+3348,2, Not Graduate, No,9700000,37700000,6,601,300000,3100000,23800000,11800000, Approved
+3349,4, Graduate, No,1400000,2700000,18,703,600000,1300000,5400000,900000, Approved
+3350,2, Not Graduate, No,4700000,14600000,20,597,8200000,6000000,14100000,6800000, Approved
+3351,3, Not Graduate, Yes,4100000,13300000,10,670,1900000,5500000,13200000,6100000, Approved
+3352,4, Not Graduate, Yes,1200000,2800000,6,366,3300000,300000,4200000,1400000, Rejected
+3353,5, Not Graduate, No,7900000,27800000,16,857,23300000,12500000,17200000,10600000, Approved
+3354,2, Not Graduate, No,6600000,15000000,16,401,13600000,6600000,23500000,3300000, Rejected
+3355,0, Not Graduate, No,2200000,8800000,4,437,1600000,2300000,8300000,2000000, Approved
+3356,3, Not Graduate, No,5500000,17600000,8,882,5800000,7800000,20300000,3100000, Approved
+3357,4, Graduate, No,5100000,15500000,8,392,6700000,8100000,13600000,6700000, Rejected
+3358,2, Not Graduate, Yes,3900000,7700000,10,421,9700000,7500000,14100000,2100000, Rejected
+3359,5, Graduate, No,200000,400000,6,722,300000,300000,400000,100000, Approved
+3360,4, Graduate, No,5800000,14700000,10,692,2300000,10100000,17700000,3900000, Approved
+3361,5, Not Graduate, No,8300000,20700000,2,537,8400000,14300000,19700000,7800000, Rejected
+3362,5, Graduate, Yes,2600000,5500000,8,676,6700000,800000,7200000,1300000, Approved
+3363,1, Graduate, No,2100000,8100000,6,817,4600000,2900000,4900000,2900000, Approved
+3364,4, Not Graduate, No,3900000,10800000,20,433,4700000,1600000,14500000,2300000, Rejected
+3365,1, Graduate, Yes,5200000,16300000,6,524,11000000,3400000,20700000,4600000, Rejected
+3366,3, Not Graduate, Yes,7800000,24400000,20,490,6700000,5100000,17700000,4100000, Rejected
+3367,3, Not Graduate, Yes,5400000,14300000,4,595,4100000,2800000,19300000,4900000, Approved
+3368,2, Not Graduate, No,2900000,11000000,2,835,4900000,3200000,11500000,1400000, Approved
+3369,4, Graduate, No,7100000,28300000,6,850,5600000,7100000,26000000,9700000, Approved
+3370,1, Graduate, Yes,800000,2500000,4,409,1300000,1000000,3100000,900000, Approved
+3371,5, Graduate, Yes,3400000,12800000,10,760,9800000,4300000,11000000,4600000, Approved
+3372,1, Graduate, Yes,6800000,17600000,14,344,5500000,5600000,18100000,7700000, Rejected
+3373,4, Graduate, Yes,7000000,27100000,12,881,8300000,9400000,17200000,9500000, Approved
+3374,0, Graduate, Yes,9300000,24500000,10,600,20200000,700000,32600000,5400000, Approved
+3375,2, Graduate, No,7500000,19900000,10,790,3500000,13000000,19900000,5900000, Approved
+3376,3, Graduate, Yes,8000000,31200000,20,392,7300000,8400000,16000000,6000000, Rejected
+3377,5, Graduate, Yes,1600000,4100000,2,748,1400000,1000000,4200000,1000000, Approved
+3378,1, Graduate, Yes,6700000,18800000,6,798,8700000,5900000,18000000,6100000, Approved
+3379,3, Not Graduate, No,3800000,11400000,4,323,5800000,4000000,9600000,4400000, Approved
+3380,1, Not Graduate, Yes,2700000,5400000,6,413,4800000,1500000,6100000,2600000, Rejected
+3381,3, Graduate, No,1300000,2900000,8,733,3800000,1900000,3800000,1800000, Approved
+3382,4, Not Graduate, No,3400000,10500000,16,543,3100000,4500000,11100000,4500000, Rejected
+3383,3, Graduate, No,3400000,10900000,14,757,5400000,1600000,7700000,3000000, Approved
+3384,5, Graduate, Yes,2400000,6800000,8,464,1900000,1300000,9500000,1900000, Rejected
+3385,0, Not Graduate, No,1900000,6900000,4,749,2100000,3700000,4300000,2200000, Approved
+3386,4, Graduate, No,700000,2200000,6,680,300000,200000,2500000,300000, Approved
+3387,1, Not Graduate, No,6900000,20900000,4,574,3200000,1800000,25000000,5200000, Approved
+3388,5, Graduate, Yes,300000,800000,18,774,400000,200000,900000,400000, Approved
+3389,3, Not Graduate, No,6000000,18700000,10,387,6600000,6200000,23300000,6700000, Rejected
+3390,1, Not Graduate, No,4300000,16400000,20,397,6700000,6200000,10200000,5700000, Rejected
+3391,4, Graduate, No,5800000,13500000,14,816,13800000,9300000,20400000,7900000, Approved
+3392,2, Graduate, Yes,3300000,6700000,8,845,1300000,4600000,12300000,3200000, Approved
+3393,2, Not Graduate, No,400000,1500000,4,743,700000,500000,1200000,300000, Approved
+3394,5, Not Graduate, No,300000,600000,4,418,500000,200000,700000,200000, Rejected
+3395,1, Not Graduate, No,4200000,10700000,6,466,7400000,7000000,14000000,4700000, Rejected
+3396,2, Not Graduate, Yes,600000,2300000,12,335,400000,900000,1200000,400000, Rejected
+3397,5, Not Graduate, Yes,4400000,15200000,6,446,9500000,2200000,16700000,5800000, Rejected
+3398,0, Graduate, Yes,9200000,29400000,2,868,9200000,13800000,32000000,5300000, Approved
+3399,2, Graduate, Yes,6900000,25300000,4,763,9000000,3600000,21300000,5500000, Approved
+3400,5, Not Graduate, Yes,5100000,13700000,14,527,12100000,8900000,19400000,4700000, Rejected
+3401,4, Graduate, No,3400000,12700000,2,741,3300000,6100000,7700000,3700000, Approved
+3402,4, Not Graduate, Yes,8600000,26800000,12,802,7400000,2800000,32100000,11700000, Approved
+3403,3, Not Graduate, Yes,9200000,28900000,8,538,13900000,8300000,32400000,4900000, Rejected
+3404,5, Graduate, Yes,4800000,16300000,4,523,8800000,2300000,10000000,2800000, Approved
+3405,4, Not Graduate, No,2800000,8300000,14,381,3200000,1100000,9100000,1500000, Rejected
+3406,1, Graduate, Yes,3400000,7000000,4,534,3100000,1600000,13000000,4000000, Rejected
+3407,5, Not Graduate, Yes,800000,2200000,14,574,2200000,1200000,1700000,1100000, Approved
+3408,1, Not Graduate, No,4100000,11100000,6,405,12000000,2900000,9000000,5900000, Rejected
+3409,0, Not Graduate, No,1900000,3800000,16,542,800000,500000,4000000,2100000, Rejected
+3410,5, Graduate, Yes,6700000,25400000,14,820,10300000,8100000,18500000,3900000, Approved
+3411,0, Graduate, No,5200000,13400000,2,505,12000000,7900000,20400000,6200000, Rejected
+3412,3, Graduate, Yes,6700000,16400000,2,508,4400000,10900000,25300000,9200000, Rejected
+3413,1, Not Graduate, Yes,4700000,15000000,20,835,2100000,2500000,10100000,3800000, Approved
+3414,0, Not Graduate, No,6000000,22000000,12,826,1400000,2000000,14100000,7000000, Approved
+3415,5, Not Graduate, Yes,6500000,18900000,12,427,5100000,1900000,18200000,7800000, Rejected
+3416,3, Graduate, No,500000,2000000,12,890,800000,700000,1800000,400000, Approved
+3417,4, Not Graduate, No,5700000,13300000,2,333,9400000,3000000,11800000,8200000, Rejected
+3418,4, Not Graduate, Yes,6800000,20000000,12,679,20200000,10900000,26900000,6600000, Approved
+3419,5, Not Graduate, No,3100000,12300000,18,805,4900000,1900000,6100000,2800000, Approved
+3420,3, Not Graduate, No,5100000,11000000,16,826,11800000,2900000,12900000,2700000, Approved
+3421,1, Not Graduate, Yes,6300000,23900000,10,844,16300000,4900000,16800000,4500000, Approved
+3422,5, Graduate, Yes,4400000,14100000,10,663,5300000,4900000,17500000,2600000, Approved
+3423,1, Not Graduate, No,8100000,21900000,6,884,15100000,5400000,27500000,6600000, Approved
+3424,1, Not Graduate, No,1100000,3700000,2,508,200000,0,2200000,1300000, Approved
+3425,0, Graduate, Yes,2400000,6900000,4,581,5100000,4500000,6000000,3400000, Approved
+3426,3, Graduate, Yes,7000000,26300000,12,481,14300000,12800000,15100000,9900000, Rejected
+3427,1, Graduate, Yes,8700000,30000000,12,543,21900000,12700000,30600000,12700000, Rejected
+3428,0, Not Graduate, Yes,3500000,12600000,10,448,1200000,2500000,10400000,3600000, Rejected
+3429,1, Graduate, Yes,1600000,5300000,4,713,1400000,1400000,4900000,1300000, Approved
+3430,5, Not Graduate, Yes,7800000,17300000,16,493,800000,4500000,16300000,9300000, Rejected
+3431,2, Not Graduate, No,3700000,9200000,10,819,8500000,2000000,10200000,3100000, Approved
+3432,4, Graduate, No,400000,1400000,18,827,-100000,0,900000,600000, Approved
+3433,0, Not Graduate, No,4800000,15700000,10,398,4900000,7400000,17100000,6400000, Rejected
+3434,0, Graduate, Yes,2900000,7500000,18,692,3200000,300000,7500000,4000000, Approved
+3435,5, Graduate, Yes,5000000,14600000,18,509,11800000,2500000,19800000,4900000, Rejected
+3436,0, Graduate, Yes,7600000,18100000,16,439,12800000,5900000,29800000,10600000, Rejected
+3437,1, Graduate, No,3000000,9400000,4,622,600000,3500000,9600000,2000000, Approved
+3438,3, Not Graduate, Yes,200000,700000,18,526,400000,100000,500000,0, Rejected
+3439,5, Not Graduate, Yes,6800000,19000000,8,865,9500000,7200000,25000000,6300000, Approved
+3440,5, Not Graduate, Yes,9700000,27400000,2,328,0,18400000,22000000,7900000, Rejected
+3441,0, Graduate, Yes,1200000,4200000,4,768,2800000,2200000,2800000,1500000, Approved
+3442,5, Not Graduate, Yes,7400000,24000000,16,854,4300000,6700000,20600000,8700000, Approved
+3443,4, Graduate, No,6900000,20800000,4,839,2600000,2400000,16100000,7400000, Approved
+3444,0, Not Graduate, Yes,9100000,23300000,18,414,17700000,2500000,33800000,6400000, Rejected
+3445,0, Graduate, Yes,1300000,4700000,16,530,3200000,1000000,3800000,800000, Rejected
+3446,3, Graduate, No,6600000,14600000,10,841,15300000,12100000,14800000,6000000, Approved
+3447,3, Not Graduate, Yes,1800000,5700000,14,670,5300000,3100000,3500000,2700000, Approved
+3448,5, Not Graduate, Yes,8200000,20900000,14,726,11400000,4800000,26000000,8400000, Approved
+3449,4, Not Graduate, No,2800000,8300000,14,352,4900000,2600000,7100000,3700000, Rejected
+3450,1, Graduate, Yes,7000000,16000000,4,554,13000000,8600000,26600000,7900000, Approved
+3451,4, Graduate, No,700000,1800000,18,728,400000,1300000,2200000,600000, Approved
+3452,0, Not Graduate, No,7400000,25500000,6,463,2300000,5600000,26800000,8400000, Rejected
+3453,5, Not Graduate, Yes,2300000,5000000,10,431,300000,3700000,8700000,2900000, Rejected
+3454,1, Graduate, Yes,600000,1900000,8,445,1200000,100000,1600000,300000, Rejected
+3455,5, Graduate, No,1000000,3000000,4,896,2800000,1100000,2000000,1100000, Approved
+3456,1, Not Graduate, Yes,2200000,5200000,8,420,2900000,100000,5000000,2300000, Rejected
+3457,1, Not Graduate, No,8000000,30900000,2,315,23500000,1200000,19500000,7300000, Approved
+3458,4, Not Graduate, No,8600000,20900000,10,867,24300000,7200000,23700000,9900000, Approved
+3459,3, Not Graduate, Yes,7500000,26000000,2,342,13900000,1900000,26900000,11200000, Approved
+3460,5, Not Graduate, Yes,5200000,11800000,18,711,14300000,5100000,15500000,4500000, Approved
+3461,2, Not Graduate, No,7900000,20900000,2,723,1700000,1800000,16300000,7100000, Approved
+3462,1, Graduate, Yes,4200000,11300000,4,704,4700000,2800000,14900000,4000000, Approved
+3463,0, Graduate, No,6500000,20200000,16,842,8300000,12200000,14300000,9600000, Approved
+3464,0, Graduate, Yes,7400000,15200000,12,600,6200000,8500000,18800000,4100000, Approved
+3465,3, Not Graduate, No,9100000,25600000,12,688,8900000,16300000,27900000,11100000, Approved
+3466,0, Not Graduate, No,800000,2300000,16,739,1800000,600000,2000000,400000, Approved
+3467,1, Graduate, Yes,800000,2800000,10,798,1300000,1300000,2500000,400000, Approved
+3468,5, Graduate, Yes,4100000,9900000,4,319,7600000,7400000,12000000,5500000, Rejected
+3469,5, Graduate, Yes,4200000,8700000,6,583,6000000,800000,8500000,2500000, Approved
+3470,3, Graduate, Yes,4800000,11500000,12,535,3600000,8000000,15600000,5400000, Rejected
+3471,3, Not Graduate, Yes,8300000,25900000,8,696,14400000,12200000,23500000,7100000, Approved
+3472,4, Not Graduate, No,7600000,23900000,8,672,2500000,1600000,20200000,6700000, Approved
+3473,4, Graduate, No,5100000,12300000,20,410,9200000,9200000,18700000,5600000, Rejected
+3474,5, Graduate, No,3600000,11600000,14,546,8500000,300000,12000000,4800000, Rejected
+3475,3, Not Graduate, Yes,5400000,16800000,16,550,10700000,6400000,13400000,7000000, Approved
+3476,5, Not Graduate, No,700000,1400000,4,344,1500000,800000,2600000,300000, Rejected
+3477,2, Not Graduate, Yes,9800000,38200000,10,743,5400000,14800000,24300000,5300000, Approved
+3478,4, Graduate, No,9700000,36400000,4,772,13800000,11300000,38100000,13500000, Approved
+3479,0, Graduate, Yes,9400000,29900000,12,302,12300000,1500000,35700000,8200000, Rejected
+3480,3, Graduate, Yes,3200000,9100000,18,376,4500000,800000,9000000,1700000, Rejected
+3481,0, Graduate, Yes,3700000,11600000,10,747,0,4500000,9000000,3500000, Approved
+3482,2, Graduate, Yes,4200000,15800000,6,710,12300000,3700000,12600000,4600000, Approved
+3483,2, Not Graduate, No,7000000,24200000,6,892,20600000,500000,21400000,9200000, Approved
+3484,3, Not Graduate, No,3200000,11500000,16,492,4800000,2300000,10400000,3200000, Rejected
+3485,5, Graduate, No,7900000,17700000,2,559,19700000,2800000,28900000,5400000, Approved
+3486,3, Not Graduate, No,2200000,8300000,18,314,1100000,900000,5800000,2000000, Rejected
+3487,0, Graduate, Yes,2700000,8400000,6,744,1200000,4100000,7500000,2000000, Approved
+3488,5, Not Graduate, No,6800000,18000000,12,690,17800000,11800000,25000000,9300000, Approved
+3489,3, Graduate, Yes,6300000,23300000,4,347,18300000,12200000,21100000,8100000, Approved
+3490,5, Graduate, Yes,9000000,31400000,2,677,12000000,10800000,20700000,8700000, Approved
+3491,1, Graduate, No,4700000,15700000,4,468,13300000,5100000,16200000,3600000, Approved
+3492,2, Not Graduate, No,8100000,17500000,4,674,10800000,12700000,23200000,9300000, Approved
+3493,2, Not Graduate, No,9000000,27300000,14,353,22600000,4400000,26900000,7200000, Rejected
+3494,4, Not Graduate, No,3800000,14100000,8,727,3900000,4900000,8200000,5400000, Approved
+3495,4, Not Graduate, Yes,8800000,22200000,10,512,6800000,4000000,31900000,9900000, Rejected
+3496,3, Not Graduate, Yes,8700000,27200000,18,454,9100000,9300000,30900000,12000000, Rejected
+3497,5, Not Graduate, No,5000000,12400000,14,315,7400000,8600000,17000000,4000000, Rejected
+3498,0, Not Graduate, Yes,6000000,22700000,10,480,200000,11900000,13700000,8700000, Rejected
+3499,2, Graduate, Yes,9100000,24200000,16,685,25600000,1900000,31100000,9100000, Approved
+3500,1, Graduate, No,7400000,17900000,6,460,2600000,1300000,25900000,5000000, Rejected
+3501,1, Not Graduate, Yes,8300000,28400000,16,704,1400000,11700000,16900000,11400000, Approved
+3502,1, Graduate, Yes,7600000,23900000,12,692,500000,12200000,27000000,5000000, Approved
+3503,1, Not Graduate, Yes,3500000,9600000,4,398,1700000,6000000,7900000,4600000, Rejected
+3504,5, Graduate, Yes,1000000,3500000,18,882,900000,500000,2900000,600000, Approved
+3505,5, Graduate, Yes,9900000,25900000,4,860,7800000,200000,38000000,5400000, Approved
+3506,2, Graduate, Yes,5700000,15100000,18,330,5900000,3800000,16600000,6200000, Rejected
+3507,5, Graduate, No,700000,2400000,16,447,1300000,700000,2600000,800000, Rejected
+3508,0, Not Graduate, Yes,9600000,23800000,12,788,9900000,14400000,21200000,10400000, Approved
+3509,1, Not Graduate, No,9300000,28900000,6,526,11100000,1600000,19700000,11000000, Rejected
+3510,0, Graduate, No,9500000,28400000,18,577,6200000,10300000,30200000,14100000, Approved
+3511,4, Graduate, Yes,8700000,23400000,16,372,10600000,11700000,20000000,8000000, Rejected
+3512,5, Graduate, Yes,7300000,21000000,14,759,15500000,8000000,20300000,10800000, Approved
+3513,3, Graduate, Yes,4100000,12700000,10,465,6400000,1900000,14100000,3200000, Rejected
+3514,2, Graduate, No,2900000,10200000,4,789,1200000,4100000,6100000,3600000, Approved
+3515,3, Graduate, Yes,7500000,17900000,2,680,7000000,11800000,25000000,6300000, Approved
+3516,1, Graduate, No,7900000,25700000,20,681,14900000,3000000,18100000,8800000, Approved
+3517,1, Graduate, Yes,6900000,22300000,16,673,17400000,100000,21300000,9000000, Approved
+3518,0, Not Graduate, No,6900000,22900000,10,313,5600000,9300000,26200000,8000000, Rejected
+3519,0, Not Graduate, No,4800000,18800000,16,551,7900000,9400000,17300000,5500000, Approved
+3520,5, Graduate, Yes,7700000,24400000,8,453,1400000,7700000,22000000,10000000, Rejected
+3521,3, Not Graduate, No,6900000,22700000,4,650,900000,13400000,15500000,6400000, Approved
+3522,1, Not Graduate, No,1200000,4500000,4,439,3200000,1800000,2900000,1200000, Approved
+3523,1, Graduate, No,2900000,9600000,4,658,8200000,4300000,7000000,2700000, Approved
+3524,4, Graduate, Yes,5500000,18900000,6,379,13900000,9100000,18500000,3100000, Rejected
+3525,4, Graduate, Yes,3200000,10700000,4,450,7300000,3000000,8200000,1800000, Approved
+3526,5, Not Graduate, No,2600000,8200000,4,849,7400000,2000000,8900000,2700000, Approved
+3527,0, Graduate, No,500000,1600000,18,865,1400000,400000,1000000,200000, Approved
+3528,0, Graduate, No,1800000,6900000,10,853,900000,400000,3700000,1700000, Rejected
+3529,0, Not Graduate, No,1300000,4900000,12,555,2400000,1200000,4100000,1700000, Approved
+3530,1, Not Graduate, No,9900000,20700000,20,821,12700000,8200000,38100000,11100000, Approved
+3531,0, Not Graduate, No,2000000,4700000,2,820,4700000,500000,7900000,1200000, Approved
+3532,1, Not Graduate, No,5100000,15300000,4,721,7000000,6100000,15300000,5900000, Approved
+3533,4, Graduate, Yes,8200000,24000000,20,831,23000000,3000000,24800000,5400000, Approved
+3534,5, Not Graduate, No,4200000,12600000,18,571,8900000,3200000,11700000,6200000, Approved
+3535,2, Not Graduate, Yes,1300000,4900000,8,582,2100000,1800000,3400000,1700000, Approved
+3536,1, Not Graduate, Yes,4600000,13600000,18,487,11200000,8500000,15500000,5400000, Rejected
+3537,1, Not Graduate, No,6600000,19700000,12,758,16000000,4400000,18800000,9500000, Approved
+3538,2, Graduate, Yes,8300000,30100000,16,636,5200000,5100000,33100000,7200000, Approved
+3539,0, Graduate, No,6900000,20700000,16,857,17100000,13700000,14600000,8800000, Approved
+3540,4, Graduate, Yes,4700000,12500000,8,678,13700000,200000,9800000,7000000, Approved
+3541,1, Graduate, No,7900000,15800000,8,551,800000,3500000,18700000,8300000, Approved
+3542,3, Not Graduate, No,8800000,24900000,16,668,16700000,17200000,30000000,10500000, Approved
+3543,1, Graduate, No,6500000,23400000,2,672,5000000,10400000,16700000,7600000, Approved
+3544,3, Not Graduate, No,3500000,13700000,4,439,5200000,2800000,13000000,4400000, Approved
+3545,2, Not Graduate, Yes,8200000,19600000,16,636,11500000,2300000,28800000,10700000, Approved
+3546,0, Not Graduate, Yes,2000000,6000000,14,393,1500000,1400000,5900000,2900000, Rejected
+3547,5, Not Graduate, No,2700000,8200000,2,848,7000000,1000000,6200000,1500000, Approved
+3548,0, Graduate, Yes,5300000,17600000,4,790,2000000,10200000,19700000,7700000, Approved
+3549,2, Not Graduate, No,9900000,19900000,6,312,21400000,2200000,31400000,11000000, Rejected
+3550,2, Not Graduate, Yes,5000000,19500000,14,775,3100000,4700000,9900000,6500000, Approved
+3551,2, Not Graduate, No,9100000,18600000,20,403,18400000,11700000,20300000,9200000, Rejected
+3552,3, Not Graduate, Yes,7600000,26400000,14,867,9200000,700000,27900000,7400000, Approved
+3553,0, Graduate, No,5200000,17800000,18,558,8300000,5400000,13000000,3100000, Approved
+3554,5, Graduate, No,1800000,6000000,4,548,1400000,2400000,6500000,2600000, Approved
+3555,0, Not Graduate, No,7300000,28200000,16,486,15300000,8800000,16400000,7700000, Rejected
+3556,4, Graduate, No,3200000,11600000,6,635,3300000,4600000,6500000,3900000, Approved
+3557,5, Graduate, No,5200000,20700000,2,538,3200000,2000000,14600000,3600000, Approved
+3558,4, Not Graduate, No,7100000,28200000,14,496,6300000,10900000,27700000,4600000, Rejected
+3559,4, Graduate, Yes,1400000,4800000,6,411,1400000,300000,4400000,1600000, Rejected
+3560,4, Not Graduate, No,2700000,10700000,6,857,7400000,4200000,8200000,2800000, Approved
+3561,5, Graduate, Yes,6500000,18100000,10,360,15700000,10600000,20200000,6100000, Rejected
+3562,4, Graduate, No,9300000,35900000,18,461,9800000,12700000,26200000,11400000, Rejected
+3563,0, Graduate, Yes,6700000,14900000,16,638,3300000,6900000,22300000,8100000, Approved
+3564,5, Graduate, No,6800000,19300000,6,865,12100000,100000,22900000,9000000, Approved
+3565,5, Not Graduate, No,5600000,13600000,4,449,5900000,5700000,18800000,4300000, Rejected
+3566,1, Not Graduate, Yes,1900000,4700000,2,870,4700000,2300000,3900000,2300000, Approved
+3567,5, Not Graduate, No,8400000,19500000,6,815,5300000,2500000,24000000,7200000, Approved
+3568,2, Not Graduate, Yes,2500000,7200000,16,454,4200000,1000000,7100000,2100000, Rejected
+3569,1, Not Graduate, Yes,2900000,9900000,18,783,1300000,100000,11000000,2600000, Approved
+3570,3, Graduate, Yes,3200000,7400000,2,543,3600000,4500000,11200000,4600000, Rejected
+3571,4, Not Graduate, Yes,3000000,10900000,2,786,7600000,3300000,8000000,3200000, Approved
+3572,3, Graduate, Yes,800000,2500000,20,395,1500000,300000,1600000,500000, Rejected
+3573,2, Not Graduate, Yes,400000,1300000,2,885,200000,300000,1100000,500000, Approved
+3574,2, Not Graduate, No,4400000,10600000,20,488,10800000,2400000,13200000,4600000, Rejected
+3575,2, Not Graduate, Yes,8700000,19900000,10,829,7500000,10500000,20200000,8400000, Approved
+3576,4, Not Graduate, No,7400000,15400000,6,677,22000000,13500000,28900000,7400000, Approved
+3577,4, Not Graduate, Yes,5700000,14400000,12,645,14500000,8600000,12900000,4700000, Approved
+3578,5, Not Graduate, Yes,9700000,27600000,10,788,9400000,3100000,31800000,10600000, Approved
+3579,2, Not Graduate, No,7000000,22400000,6,649,12200000,9900000,17800000,8900000, Approved
+3580,2, Not Graduate, No,8900000,23100000,4,519,22800000,500000,25200000,4700000, Rejected
+3581,3, Graduate, Yes,3100000,11200000,14,772,3400000,5800000,8300000,2100000, Approved
+3582,4, Graduate, No,2200000,6100000,12,330,5500000,2900000,5000000,2200000, Rejected
+3583,5, Not Graduate, Yes,7100000,21500000,4,557,8900000,8000000,26400000,4000000, Approved
+3584,4, Graduate, Yes,8200000,19000000,6,334,24500000,6800000,28600000,10200000, Rejected
+3585,3, Graduate, Yes,9800000,28400000,12,487,8900000,15400000,30800000,11100000, Rejected
+3586,2, Graduate, Yes,3900000,9700000,8,539,4400000,7600000,7900000,5100000, Rejected
+3587,2, Graduate, Yes,2200000,8100000,8,710,500000,2900000,7300000,1000000, Approved
+3588,5, Not Graduate, Yes,600000,1700000,20,879,1100000,100000,2300000,700000, Approved
+3589,4, Not Graduate, Yes,6900000,22000000,10,512,6100000,9100000,20600000,3900000, Rejected
+3590,2, Graduate, Yes,7400000,27300000,18,561,12600000,400000,27100000,9600000, Approved
+3591,3, Not Graduate, Yes,4000000,11600000,6,539,5900000,2600000,12100000,4700000, Rejected
+3592,3, Not Graduate, Yes,700000,2000000,18,544,800000,1300000,1500000,400000, Rejected
+3593,2, Not Graduate, Yes,1900000,4600000,16,631,3200000,2700000,4500000,2700000, Approved
+3594,2, Graduate, No,2200000,6800000,20,546,4600000,200000,4500000,2200000, Rejected
+3595,1, Graduate, Yes,2000000,5600000,14,569,5000000,1100000,7900000,1600000, Approved
+3596,4, Not Graduate, No,7400000,17900000,6,384,13400000,12300000,22400000,4700000, Rejected
+3597,2, Not Graduate, Yes,2300000,9000000,6,583,3600000,1300000,6900000,3400000, Approved
+3598,5, Not Graduate, Yes,4000000,15500000,12,517,0,600000,12100000,3500000, Rejected
+3599,3, Graduate, Yes,1500000,5800000,18,420,800000,1900000,4100000,1400000, Rejected
+3600,2, Not Graduate, Yes,5200000,12900000,18,644,400000,5000000,12000000,7500000, Approved
+3601,2, Graduate, No,5400000,14500000,8,349,10800000,4800000,21100000,6600000, Rejected
+3602,3, Graduate, No,7700000,25300000,18,662,3400000,11400000,19100000,9900000, Approved
+3603,0, Not Graduate, Yes,1900000,6400000,20,704,900000,3400000,5300000,1900000, Approved
+3604,4, Not Graduate, Yes,6400000,15500000,2,324,18400000,11100000,13900000,4500000, Rejected
+3605,5, Graduate, No,700000,1700000,18,757,1900000,200000,2100000,600000, Approved
+3606,3, Graduate, Yes,5800000,23000000,16,361,6000000,10100000,23000000,2800000, Rejected
+3607,1, Graduate, No,1800000,5400000,4,415,4400000,2000000,5600000,1800000, Approved
+3608,5, Graduate, Yes,4300000,13800000,18,618,9600000,800000,14000000,2400000, Approved
+3609,4, Graduate, No,8000000,27100000,8,524,16900000,10900000,25600000,8400000, Rejected
+3610,0, Not Graduate, No,1100000,4100000,18,887,400000,1300000,2600000,1300000, Approved
+3611,2, Not Graduate, Yes,8800000,31100000,12,729,12300000,2400000,21900000,9400000, Approved
+3612,4, Graduate, No,4800000,18600000,14,774,10800000,5800000,12700000,6500000, Approved
+3613,0, Not Graduate, Yes,200000,700000,20,724,600000,0,500000,300000, Approved
+3614,5, Graduate, Yes,1400000,2700000,16,320,900000,2500000,2700000,2000000, Rejected
+3615,5, Graduate, No,2500000,6400000,16,590,3200000,3900000,5800000,3500000, Approved
+3616,5, Graduate, No,8100000,25300000,8,796,15900000,12600000,21500000,7800000, Approved
+3617,0, Graduate, Yes,6100000,19200000,6,890,13900000,5900000,16700000,7600000, Approved
+3618,0, Not Graduate, Yes,2000000,4600000,16,651,2100000,2400000,7200000,1600000, Approved
+3619,4, Not Graduate, No,4800000,10100000,12,634,9200000,300000,15000000,6900000, Approved
+3620,4, Graduate, Yes,900000,2800000,2,660,1200000,1400000,2400000,900000, Approved
+3621,4, Not Graduate, No,1300000,3500000,12,512,3300000,1400000,3200000,700000, Rejected
+3622,4, Not Graduate, Yes,4200000,9100000,2,900,6700000,5300000,10900000,5900000, Approved
+3623,2, Graduate, Yes,3300000,11100000,20,823,4600000,1500000,11700000,2900000, Approved
+3624,2, Not Graduate, Yes,8700000,28400000,12,880,8000000,1800000,19400000,4400000, Approved
+3625,1, Not Graduate, Yes,800000,2600000,2,439,600000,0,1800000,400000, Approved
+3626,5, Graduate, Yes,7400000,17100000,2,441,14700000,1600000,20600000,10800000, Rejected
+3627,3, Not Graduate, No,6900000,18500000,6,360,14000000,0,18800000,9600000, Rejected
+3628,1, Graduate, Yes,8800000,33700000,14,561,10200000,7100000,25700000,11900000, Approved
+3629,2, Graduate, Yes,8600000,32500000,4,758,20900000,600000,18000000,6900000, Approved
+3630,2, Graduate, No,5400000,20600000,18,621,11200000,2200000,11600000,5500000, Approved
+3631,4, Graduate, Yes,2900000,5900000,18,621,200000,3100000,8500000,3500000, Approved
+3632,3, Graduate, No,9800000,21000000,12,342,25400000,16600000,26900000,7000000, Rejected
+3633,4, Graduate, No,3300000,10800000,4,552,4200000,900000,8600000,3300000, Approved
+3634,0, Not Graduate, No,300000,500000,18,376,300000,0,800000,300000, Rejected
+3635,0, Graduate, No,1500000,4300000,12,801,4400000,2200000,3300000,1100000, Approved
+3636,3, Not Graduate, Yes,5400000,16300000,4,512,1600000,3400000,13100000,6000000, Approved
+3637,0, Graduate, No,6600000,15200000,18,497,1500000,6900000,14500000,9300000, Rejected
+3638,0, Graduate, No,5700000,17200000,8,386,4200000,7100000,14400000,2900000, Rejected
+3639,3, Not Graduate, Yes,8500000,26100000,2,683,6600000,10400000,24100000,5700000, Approved
+3640,0, Graduate, No,7400000,24100000,16,779,800000,2900000,28900000,4900000, Approved
+3641,3, Not Graduate, Yes,7800000,17700000,6,876,15600000,15200000,25100000,10800000, Approved
+3642,3, Graduate, Yes,7200000,16500000,18,515,7800000,6300000,17300000,10600000, Rejected
+3643,2, Not Graduate, No,7600000,19300000,12,463,5400000,1500000,16000000,9600000, Rejected
+3644,4, Not Graduate, Yes,7000000,26700000,4,486,10600000,12200000,18800000,6000000, Approved
+3645,0, Not Graduate, No,5700000,13000000,6,328,7800000,7500000,20700000,8200000, Rejected
+3646,2, Not Graduate, No,8200000,30600000,10,343,9800000,11500000,16900000,7000000, Rejected
+3647,0, Graduate, Yes,9000000,27800000,8,712,900000,6700000,24400000,5800000, Approved
+3648,3, Not Graduate, No,3900000,11900000,6,607,6600000,6000000,8800000,2000000, Approved
+3649,0, Graduate, No,6500000,16200000,4,812,17200000,10700000,20200000,6200000, Approved
+3650,4, Not Graduate, Yes,2300000,7700000,16,589,6000000,4400000,6300000,2300000, Approved
+3651,1, Not Graduate, No,5700000,21800000,18,657,14100000,3200000,21800000,3200000, Approved
+3652,4, Not Graduate, No,800000,2800000,12,453,1500000,300000,2900000,600000, Rejected
+3653,4, Not Graduate, Yes,8400000,19700000,14,889,22400000,5800000,22000000,12100000, Approved
+3654,1, Graduate, Yes,4300000,17200000,4,564,10400000,6600000,11500000,2200000, Approved
+3655,1, Not Graduate, Yes,300000,900000,20,419,800000,0,600000,300000, Rejected
+3656,1, Graduate, No,8700000,34000000,16,663,5400000,10700000,17800000,8100000, Approved
+3657,1, Not Graduate, No,4400000,12100000,4,884,9800000,6500000,15000000,6000000, Approved
+3658,1, Graduate, Yes,5600000,16800000,16,528,7500000,6500000,12300000,3900000, Rejected
+3659,2, Graduate, No,600000,1300000,12,475,100000,1100000,2300000,600000, Rejected
+3660,4, Not Graduate, Yes,2500000,5100000,20,695,1100000,4100000,6700000,3500000, Approved
+3661,5, Not Graduate, No,3800000,10500000,10,759,1800000,6700000,8100000,5300000, Approved
+3662,2, Not Graduate, No,2500000,9600000,4,636,900000,1000000,7300000,2000000, Approved
+3663,3, Not Graduate, Yes,5500000,20400000,10,546,10600000,8200000,13500000,4000000, Rejected
+3664,5, Graduate, Yes,4500000,17100000,2,639,10600000,7500000,12000000,6500000, Approved
+3665,4, Not Graduate, No,1900000,4000000,10,388,500000,1400000,5600000,900000, Rejected
+3666,5, Graduate, Yes,6400000,20000000,12,594,100000,2100000,16500000,5500000, Approved
+3667,1, Not Graduate, Yes,3800000,11100000,6,760,2100000,1800000,8700000,5700000, Approved
+3668,4, Not Graduate, Yes,6300000,16900000,16,582,16000000,3600000,23700000,6000000, Approved
+3669,3, Not Graduate, No,300000,600000,6,896,300000,400000,600000,400000, Approved
+3670,5, Not Graduate, Yes,7100000,21800000,18,891,7000000,0,18900000,4700000, Approved
+3671,2, Not Graduate, Yes,600000,1700000,2,495,1700000,200000,1200000,500000, Rejected
+3672,3, Graduate, Yes,4400000,15300000,16,865,1200000,8400000,15000000,3400000, Approved
+3673,4, Not Graduate, No,7600000,20800000,12,775,1900000,13600000,19200000,6400000, Approved
+3674,5, Graduate, Yes,8700000,26400000,10,318,11800000,2900000,23200000,9200000, Rejected
+3675,3, Graduate, Yes,5600000,12700000,12,395,8200000,9300000,22000000,6400000, Rejected
+3676,4, Not Graduate, No,4100000,13100000,14,772,11200000,4200000,10500000,3800000, Approved
+3677,2, Not Graduate, Yes,7900000,16100000,18,318,17300000,2900000,29900000,9300000, Rejected
+3678,3, Not Graduate, Yes,5600000,20900000,14,649,4000000,10700000,13000000,8200000, Approved
+3679,3, Not Graduate, No,1200000,3100000,10,438,1500000,2200000,3900000,1000000, Rejected
+3680,5, Graduate, No,6900000,19700000,6,588,9800000,7500000,17100000,7300000, Approved
+3681,5, Not Graduate, No,2700000,5600000,2,815,1100000,2000000,7100000,2600000, Approved
+3682,4, Graduate, Yes,9800000,22100000,4,364,16800000,11100000,26500000,7300000, Rejected
+3683,2, Not Graduate, No,9300000,32300000,4,586,14300000,6400000,37000000,10400000, Approved
+3684,4, Not Graduate, No,6700000,25300000,12,555,16900000,3600000,23500000,4900000, Approved
+3685,4, Graduate, No,1300000,4600000,10,312,1800000,600000,3100000,800000, Rejected
+3686,2, Graduate, Yes,7900000,17100000,16,605,19200000,14100000,21900000,10400000, Approved
+3687,5, Not Graduate, No,6700000,23200000,18,672,1600000,6700000,20800000,5400000, Approved
+3688,2, Not Graduate, Yes,2100000,4500000,18,591,2500000,500000,5500000,1500000, Approved
+3689,4, Graduate, Yes,4700000,11000000,4,321,10100000,100000,9600000,6900000, Rejected
+3690,2, Graduate, No,3700000,13400000,16,393,6400000,600000,14200000,3500000, Rejected
+3691,0, Graduate, Yes,5800000,21800000,2,561,4400000,7200000,15000000,4200000, Approved
+3692,5, Graduate, Yes,2400000,6900000,20,725,1700000,400000,8800000,2400000, Approved
+3693,1, Not Graduate, Yes,8100000,27600000,16,438,1000000,10500000,32200000,8000000, Rejected
+3694,5, Graduate, Yes,5400000,21400000,12,399,4000000,9700000,12400000,6800000, Rejected
+3695,0, Graduate, No,1400000,5400000,8,592,4100000,400000,4300000,800000, Approved
+3696,2, Not Graduate, No,2500000,8600000,8,835,2500000,4000000,7700000,1300000, Approved
+3697,0, Not Graduate, Yes,1600000,5300000,4,733,400000,2100000,5500000,1100000, Approved
+3698,0, Not Graduate, No,3700000,10600000,20,484,5800000,1300000,13900000,3500000, Rejected
+3699,5, Not Graduate, Yes,500000,1800000,20,615,500000,700000,1100000,300000, Approved
+3700,3, Not Graduate, Yes,5300000,19500000,4,591,13200000,4700000,19800000,7900000, Approved
+3701,0, Graduate, Yes,2800000,6800000,12,349,4100000,2000000,11100000,1400000, Rejected
+3702,1, Graduate, Yes,9600000,29900000,18,478,18500000,15200000,38200000,9400000, Rejected
+3703,4, Graduate, No,2200000,7800000,20,633,0,3900000,8400000,1900000, Approved
+3704,1, Not Graduate, Yes,8400000,30900000,8,378,18600000,1000000,25900000,11100000, Rejected
+3705,1, Not Graduate, No,2100000,5300000,20,461,1500000,3800000,8100000,1700000, Rejected
+3706,2, Not Graduate, Yes,2800000,7000000,2,834,500000,2900000,8100000,1300000, Approved
+3707,0, Not Graduate, No,2500000,5800000,20,671,7400000,500000,7500000,2000000, Approved
+3708,3, Graduate, Yes,1700000,5800000,10,524,4100000,2900000,6600000,800000, Rejected
+3709,3, Graduate, No,6100000,20700000,4,816,14900000,5400000,24200000,5900000, Approved
+3710,3, Graduate, No,4100000,11700000,10,729,6900000,6200000,15400000,2100000, Approved
+3711,5, Not Graduate, Yes,4500000,12700000,8,307,11000000,3800000,12600000,2700000, Rejected
+3712,2, Graduate, Yes,5600000,19100000,8,350,2700000,1200000,14200000,4200000, Rejected
+3713,3, Not Graduate, Yes,5800000,16600000,10,444,13300000,5900000,15000000,8500000, Rejected
+3714,4, Not Graduate, No,8600000,26700000,10,895,2200000,8800000,22600000,6900000, Approved
+3715,2, Graduate, No,2900000,10500000,20,708,4200000,600000,7700000,4300000, Approved
+3716,2, Not Graduate, Yes,8300000,17600000,2,355,1000000,700000,28400000,6800000, Rejected
+3717,5, Not Graduate, No,2400000,5100000,6,756,1500000,200000,5300000,3400000, Approved
+3718,4, Graduate, No,5600000,12000000,4,719,5600000,2900000,14500000,3400000, Approved
+3719,1, Graduate, Yes,9500000,35400000,14,439,400000,1200000,20200000,13500000, Rejected
+3720,4, Not Graduate, Yes,4900000,15900000,10,668,10800000,8300000,14900000,2800000, Approved
+3721,4, Not Graduate, Yes,5900000,16500000,2,765,13000000,9400000,20000000,3500000, Approved
+3722,5, Graduate, Yes,500000,1500000,4,476,200000,200000,1100000,700000, Approved
+3723,3, Graduate, No,7000000,21700000,14,781,5400000,8500000,19300000,9600000, Approved
+3724,1, Not Graduate, No,3500000,12700000,4,350,5200000,6800000,12900000,1800000, Approved
+3725,0, Graduate, No,5200000,12200000,16,783,5000000,2000000,11400000,5100000, Approved
+3726,3, Graduate, Yes,6300000,19900000,12,770,1900000,2400000,15500000,3100000, Approved
+3727,2, Not Graduate, No,8400000,28300000,10,822,1800000,16000000,33000000,4400000, Approved
+3728,1, Not Graduate, Yes,7500000,22500000,14,469,12300000,9600000,16200000,4500000, Rejected
+3729,2, Graduate, No,3300000,13000000,16,300,5500000,5900000,7400000,3100000, Rejected
+3730,2, Not Graduate, No,8800000,22400000,14,692,21700000,5100000,18600000,10900000, Approved
+3731,5, Graduate, No,200000,700000,18,707,-100000,100000,500000,200000, Approved
+3732,5, Not Graduate, Yes,8000000,29100000,4,658,10600000,8600000,28800000,4600000, Approved
+3733,3, Graduate, No,1000000,4000000,6,625,700000,100000,2800000,500000, Approved
+3734,1, Graduate, No,9400000,26700000,10,343,7600000,2500000,28600000,13200000, Rejected
+3735,5, Graduate, No,2100000,7300000,18,358,3700000,3200000,7200000,2200000, Rejected
+3736,4, Graduate, Yes,5400000,11500000,20,705,14600000,3800000,13500000,6100000, Approved
+3737,2, Graduate, Yes,4700000,15100000,8,799,9700000,2500000,10700000,4700000, Approved
+3738,3, Graduate, No,8800000,33700000,12,397,17300000,16000000,22200000,8800000, Rejected
+3739,5, Graduate, No,3200000,12200000,6,493,7700000,6200000,6700000,2100000, Rejected
+3740,0, Graduate, Yes,7200000,21900000,4,446,17700000,10900000,24500000,7600000, Approved
+3741,2, Not Graduate, Yes,2500000,7200000,16,315,5500000,3300000,4900000,2800000, Rejected
+3742,5, Not Graduate, Yes,6900000,15700000,14,887,13800000,5300000,25200000,4500000, Approved
+3743,5, Graduate, Yes,5700000,20500000,16,429,2800000,1900000,22400000,3900000, Rejected
+3744,4, Graduate, Yes,5500000,15100000,18,673,10500000,8000000,13900000,7200000, Approved
+3745,4, Not Graduate, Yes,9200000,29100000,10,731,14500000,8300000,35800000,5000000, Approved
+3746,5, Graduate, Yes,5700000,11500000,2,732,15800000,3700000,15600000,5300000, Approved
+3747,5, Graduate, Yes,5000000,16400000,14,525,13000000,9100000,15300000,3300000, Rejected
+3748,4, Not Graduate, No,2300000,5500000,6,343,-100000,4100000,4800000,3200000, Rejected
+3749,0, Not Graduate, Yes,3000000,11000000,16,331,8000000,4500000,6600000,2400000, Rejected
+3750,0, Not Graduate, No,7900000,26200000,18,845,14200000,14700000,27400000,6300000, Approved
+3751,2, Graduate, No,2000000,6200000,16,696,4100000,600000,5400000,1300000, Approved
+3752,5, Not Graduate, No,2700000,8700000,14,772,2200000,2800000,7600000,3700000, Approved
+3753,3, Graduate, Yes,6400000,15800000,18,628,6900000,2700000,24800000,5300000, Approved
+3754,0, Not Graduate, Yes,8200000,19100000,2,764,22900000,8900000,20500000,4000000, Approved
+3755,1, Graduate, No,2800000,6900000,14,553,400000,4900000,6800000,4200000, Approved
+3756,1, Not Graduate, No,8900000,20000000,2,653,12700000,600000,17800000,9900000, Approved
+3757,1, Not Graduate, No,5100000,20000000,4,506,7900000,8900000,20300000,6700000, Approved
+3758,3, Graduate, No,2800000,8500000,20,431,6200000,1700000,7800000,2200000, Rejected
+3759,2, Not Graduate, Yes,6100000,12300000,18,697,14100000,9100000,12600000,3500000, Approved
+3760,2, Not Graduate, No,8400000,24500000,6,588,11000000,1300000,22900000,10400000, Approved
+3761,1, Not Graduate, No,1600000,5600000,6,846,600000,2800000,4600000,1200000, Approved
+3762,5, Graduate, No,4100000,11000000,14,379,6200000,1700000,8500000,5400000, Rejected
+3763,1, Not Graduate, No,300000,700000,10,745,0,0,900000,100000, Approved
+3764,3, Graduate, No,9600000,34500000,20,523,26100000,2600000,24300000,5300000, Rejected
+3765,4, Graduate, Yes,8300000,25400000,4,624,22900000,4000000,24800000,5400000, Approved
+3766,1, Graduate, No,4600000,16700000,16,407,13000000,6000000,9800000,2800000, Rejected
+3767,3, Not Graduate, Yes,5600000,11600000,12,756,3300000,1800000,18400000,7800000, Approved
+3768,3, Graduate, Yes,4100000,8300000,16,351,6000000,100000,11100000,2200000, Rejected
+3769,3, Not Graduate, No,3700000,13400000,18,373,2800000,100000,13200000,2500000, Rejected
+3770,4, Not Graduate, Yes,800000,2400000,2,461,1300000,1300000,2300000,300000, Approved
+3771,4, Graduate, No,8100000,28100000,12,672,5600000,9200000,17200000,9500000, Approved
+3772,2, Graduate, Yes,2700000,9500000,10,434,2700000,1500000,8100000,1800000, Rejected
+3773,2, Not Graduate, Yes,7000000,21400000,12,541,3700000,1300000,19800000,9600000, Rejected
+3774,3, Not Graduate, Yes,8100000,29300000,2,413,8100000,15100000,25500000,6400000, Approved
+3775,1, Graduate, No,3200000,7600000,4,592,3000000,1400000,8100000,4700000, Approved
+3776,4, Not Graduate, Yes,400000,1400000,10,665,300000,300000,1500000,200000, Approved
+3777,1, Graduate, No,7800000,23900000,4,313,2600000,15300000,23000000,10900000, Approved
+3778,0, Not Graduate, No,5800000,19600000,14,673,8900000,10700000,18000000,7200000, Approved
+3779,0, Not Graduate, Yes,2600000,6000000,8,382,1700000,2200000,8200000,1600000, Rejected
+3780,5, Not Graduate, No,5400000,21100000,12,661,15800000,10400000,20100000,5400000, Approved
+3781,3, Graduate, Yes,600000,1700000,4,576,400000,100000,2100000,500000, Approved
+3782,1, Graduate, No,600000,1200000,14,443,700000,1000000,2200000,800000, Rejected
+3783,5, Graduate, Yes,9500000,21700000,16,307,27500000,2700000,28500000,9700000, Rejected
+3784,4, Graduate, Yes,1900000,4800000,12,656,1500000,1600000,5400000,1700000, Approved
+3785,1, Graduate, Yes,9800000,21200000,4,885,18000000,16400000,37300000,10800000, Approved
+3786,3, Graduate, No,7800000,16600000,20,896,12400000,10800000,30500000,5500000, Approved
+3787,5, Not Graduate, No,4900000,14100000,2,802,3300000,7500000,16100000,2700000, Approved
+3788,3, Graduate, Yes,8300000,22700000,2,650,3600000,16000000,18000000,5800000, Approved
+3789,4, Not Graduate, Yes,3900000,8900000,10,665,9300000,4000000,9200000,5300000, Approved
+3790,2, Graduate, No,9000000,35700000,12,339,15200000,8400000,19500000,9000000, Rejected
+3791,1, Not Graduate, No,9600000,32400000,20,447,15400000,18400000,19800000,4700000, Rejected
+3792,5, Not Graduate, Yes,1000000,2400000,18,613,1600000,1300000,2600000,600000, Approved
+3793,5, Graduate, No,2800000,7200000,16,424,900000,5000000,6100000,3200000, Rejected
+3794,2, Not Graduate, No,8300000,20800000,6,667,19300000,4100000,25400000,6800000, Approved
+3795,4, Not Graduate, Yes,6900000,18300000,18,715,8200000,600000,15000000,7500000, Approved
+3796,5, Not Graduate, Yes,3800000,9100000,18,654,9000000,4000000,10200000,3000000, Approved
+3797,2, Not Graduate, No,8000000,17800000,20,549,2400000,9700000,27400000,10800000, Rejected
+3798,4, Graduate, Yes,9800000,29700000,4,373,11100000,5500000,37800000,10000000, Approved
+3799,0, Graduate, Yes,2900000,7200000,16,332,3600000,5700000,7600000,3600000, Rejected
+3800,4, Graduate, No,7900000,31500000,20,534,12400000,8500000,21600000,6400000, Rejected
+3801,3, Not Graduate, No,4600000,17900000,8,396,10700000,4000000,12300000,2600000, Rejected
+3802,2, Graduate, No,1000000,3700000,18,892,2200000,800000,3000000,500000, Approved
+3803,5, Graduate, No,9000000,21300000,14,602,3400000,7700000,35400000,11000000, Approved
+3804,0, Graduate, Yes,9400000,36100000,10,615,21200000,3800000,27400000,9100000, Approved
+3805,5, Graduate, Yes,7400000,23300000,20,482,15700000,3600000,29100000,6800000, Rejected
+3806,0, Graduate, No,6600000,20100000,16,397,19200000,7000000,17200000,8400000, Rejected
+3807,0, Not Graduate, No,1300000,3400000,10,464,1200000,200000,3500000,1400000, Rejected
+3808,0, Graduate, Yes,1100000,3400000,14,832,3200000,200000,4400000,1600000, Approved
+3809,5, Graduate, No,9200000,34800000,12,802,22000000,11000000,19800000,12500000, Approved
+3810,2, Graduate, No,7000000,23900000,18,628,13400000,6600000,25200000,7200000, Approved
+3811,4, Graduate, No,5100000,18800000,10,694,6400000,5300000,13500000,4100000, Approved
+3812,1, Not Graduate, Yes,3200000,9300000,20,741,3800000,3500000,6900000,2300000, Approved
+3813,1, Not Graduate, Yes,3700000,10900000,14,748,3700000,2800000,13200000,4100000, Approved
+3814,5, Graduate, No,3600000,12800000,4,320,2500000,2900000,12600000,2900000, Approved
+3815,1, Graduate, No,5600000,11700000,10,774,11000000,4300000,13100000,6500000, Approved
+3816,0, Not Graduate, Yes,9500000,32000000,2,500,8300000,9700000,24500000,5600000, Approved
+3817,4, Not Graduate, No,1500000,4000000,18,706,0,2700000,4400000,1700000, Approved
+3818,4, Not Graduate, No,7400000,18300000,10,601,16400000,12600000,28800000,6100000, Approved
+3819,2, Graduate, No,6000000,17400000,16,806,1800000,2100000,20200000,3500000, Approved
+3820,0, Graduate, Yes,3000000,9600000,6,644,3900000,700000,10500000,3000000, Approved
+3821,4, Graduate, Yes,6000000,12900000,14,723,700000,1600000,13600000,4100000, Approved
+3822,5, Graduate, Yes,600000,1500000,12,509,1600000,100000,1900000,800000, Rejected
+3823,0, Graduate, No,1800000,6600000,4,898,2400000,100000,4600000,1400000, Approved
+3824,2, Graduate, Yes,5500000,12000000,2,567,7200000,4700000,11500000,7000000, Approved
+3825,1, Graduate, No,1000000,2100000,6,715,2200000,1000000,2200000,1100000, Approved
+3826,2, Not Graduate, Yes,1700000,3500000,10,854,5000000,2400000,3400000,1700000, Approved
+3827,1, Graduate, Yes,3400000,12300000,8,523,6100000,4700000,8300000,2600000, Rejected
+3828,1, Graduate, Yes,9600000,35900000,8,534,24500000,17700000,31900000,5400000, Rejected
+3829,0, Not Graduate, Yes,2600000,7600000,18,470,700000,700000,5500000,2900000, Rejected
+3830,1, Graduate, No,1600000,3500000,18,619,3200000,100000,6300000,1500000, Approved
+3831,0, Graduate, Yes,4300000,12800000,20,572,8600000,2200000,11000000,6100000, Approved
+3832,3, Graduate, No,1400000,3500000,16,365,2600000,2200000,2900000,1600000, Rejected
+3833,0, Not Graduate, No,8000000,18000000,16,791,13900000,10300000,23400000,10600000, Approved
+3834,4, Not Graduate, Yes,5000000,18100000,12,424,5200000,2000000,14500000,6100000, Rejected
+3835,5, Graduate, No,4500000,10200000,12,726,2900000,8600000,17500000,4200000, Approved
+3836,1, Graduate, No,3400000,9900000,2,736,3900000,4800000,10600000,4500000, Approved
+3837,5, Graduate, Yes,5700000,12800000,14,488,13600000,1000000,13200000,5500000, Rejected
+3838,2, Not Graduate, Yes,2600000,7600000,10,400,6800000,2800000,10100000,3200000, Rejected
+3839,0, Graduate, Yes,4500000,12200000,20,311,11200000,5000000,12700000,2400000, Rejected
+3840,2, Not Graduate, Yes,5100000,16800000,2,504,6400000,2700000,17100000,4400000, Approved
+3841,4, Not Graduate, Yes,5100000,18600000,20,312,9600000,6000000,16500000,5500000, Rejected
+3842,5, Graduate, Yes,1700000,6500000,14,587,1100000,1000000,6400000,1500000, Approved
+3843,1, Not Graduate, No,5200000,10500000,20,317,3000000,8000000,19300000,5300000, Rejected
+3844,4, Not Graduate, No,8400000,29000000,2,463,12700000,1100000,20100000,6700000, Approved
+3845,1, Not Graduate, Yes,9000000,34000000,16,842,6300000,16900000,22900000,5800000, Approved
+3846,4, Graduate, Yes,3400000,11800000,20,616,5000000,3300000,9900000,2900000, Approved
+3847,1, Not Graduate, No,5400000,19400000,8,800,800000,6100000,19500000,3000000, Approved
+3848,0, Graduate, Yes,700000,2100000,12,813,200000,1300000,2200000,500000, Approved
+3849,2, Graduate, No,7600000,24800000,12,564,14000000,6200000,24700000,6700000, Approved
+3850,2, Not Graduate, No,5000000,14700000,12,837,2200000,7200000,11700000,4800000, Approved
+3851,5, Not Graduate, Yes,2500000,9400000,16,735,0,2200000,9500000,1700000, Approved
+3852,4, Not Graduate, Yes,2000000,5200000,16,724,5200000,3800000,4600000,2800000, Approved
+3853,5, Not Graduate, No,9000000,23900000,12,658,5700000,4600000,32100000,6100000, Approved
+3854,5, Graduate, No,8300000,31800000,16,858,24600000,11100000,26300000,8500000, Approved
+3855,0, Not Graduate, Yes,3100000,8500000,8,614,1700000,4600000,11000000,3300000, Approved
+3856,2, Graduate, Yes,8500000,25600000,16,714,11400000,14800000,17200000,5700000, Approved
+3857,2, Graduate, Yes,1200000,4600000,20,605,3600000,1500000,4600000,600000, Approved
+3858,4, Graduate, Yes,2800000,5500000,8,875,6900000,4000000,6000000,3300000, Approved
+3859,5, Graduate, Yes,2800000,10900000,6,359,5000000,3300000,7600000,3000000, Rejected
+3860,5, Graduate, Yes,6500000,24100000,6,441,14100000,9600000,15300000,5200000, Rejected
+3861,4, Graduate, No,8700000,25200000,18,790,25000000,9100000,18400000,8400000, Approved
+3862,1, Not Graduate, Yes,5400000,13600000,4,821,11600000,8700000,19900000,5600000, Approved
+3863,2, Not Graduate, No,8600000,33300000,16,375,19600000,11200000,25500000,11200000, Rejected
+3864,3, Graduate, No,4700000,9600000,10,545,5200000,7200000,12000000,5300000, Rejected
+3865,5, Not Graduate, Yes,1100000,3900000,4,891,1100000,200000,3400000,900000, Approved
+3866,0, Graduate, No,6400000,14000000,8,486,5100000,12700000,23900000,3700000, Rejected
+3867,0, Graduate, No,4300000,9900000,4,696,12400000,2100000,17000000,2100000, Approved
+3868,5, Not Graduate, Yes,2900000,11100000,4,683,1700000,3900000,9400000,3300000, Approved
+3869,5, Not Graduate, No,9600000,27100000,8,594,25500000,4600000,26800000,13300000, Approved
+3870,3, Not Graduate, Yes,900000,2500000,20,529,900000,300000,3200000,700000, Rejected
+3871,5, Not Graduate, No,8100000,26300000,4,429,3600000,8500000,22200000,6900000, Approved
+3872,0, Not Graduate, Yes,8800000,25000000,4,400,11300000,4000000,23600000,9400000, Rejected
+3873,0, Graduate, No,8800000,17500000,4,848,25400000,8200000,31600000,5100000, Approved
+3874,1, Not Graduate, No,6400000,21500000,6,489,1600000,4600000,17600000,8900000, Rejected
+3875,2, Graduate, No,2900000,6600000,10,326,8600000,2200000,7400000,3400000, Rejected
+3876,5, Graduate, No,1600000,6100000,8,663,3900000,800000,6400000,1200000, Approved
+3877,1, Not Graduate, No,1600000,5100000,18,729,2500000,2000000,6200000,900000, Approved
+3878,2, Graduate, Yes,3100000,10700000,4,398,3100000,3000000,7400000,2000000, Approved
+3879,2, Not Graduate, Yes,5600000,16700000,14,856,400000,10200000,14700000,5200000, Approved
+3880,3, Graduate, Yes,8100000,19900000,20,347,22800000,14400000,29800000,5500000, Rejected
+3881,3, Not Graduate, No,9100000,19300000,12,696,26200000,7700000,30100000,13300000, Approved
+3882,0, Graduate, Yes,5500000,17100000,8,353,400000,200000,17100000,5200000, Rejected
+3883,1, Graduate, Yes,9700000,34300000,20,756,15700000,18500000,26800000,14100000, Approved
+3884,4, Graduate, No,2300000,5400000,16,490,6200000,3700000,5500000,2100000, Rejected
+3885,1, Not Graduate, Yes,5600000,18000000,10,531,6500000,9000000,19800000,8400000, Rejected
+3886,2, Not Graduate, Yes,4500000,16600000,4,679,10300000,3100000,11700000,5000000, Approved
+3887,1, Graduate, Yes,500000,1800000,8,877,100000,200000,1100000,600000, Approved
+3888,0, Graduate, No,4200000,11000000,20,817,6700000,2400000,11700000,6100000, Approved
+3889,1, Not Graduate, No,9100000,23300000,18,792,800000,12600000,32100000,12400000, Approved
+3890,4, Graduate, Yes,3200000,12800000,18,664,6300000,3400000,7600000,2100000, Approved
+3891,4, Graduate, Yes,6200000,21300000,16,882,11800000,3500000,12900000,4100000, Approved
+3892,3, Not Graduate, Yes,2500000,7700000,10,768,4500000,400000,8000000,2600000, Approved
+3893,0, Graduate, No,9100000,27100000,12,787,24300000,2900000,34800000,9500000, Approved
+3894,3, Graduate, Yes,500000,900000,12,538,0,700000,1500000,300000, Rejected
+3895,4, Not Graduate, No,6900000,18000000,8,347,16400000,9300000,18300000,8700000, Rejected
+3896,0, Graduate, Yes,1800000,5200000,16,317,4900000,1500000,4000000,1300000, Rejected
+3897,0, Graduate, Yes,4000000,14500000,2,713,6200000,4900000,12200000,4700000, Approved
+3898,1, Not Graduate, No,3900000,12300000,10,683,1000000,700000,11700000,2400000, Approved
+3899,2, Not Graduate, Yes,8000000,28100000,18,765,24000000,10500000,17700000,8200000, Approved
+3900,5, Graduate, No,900000,3200000,10,803,1600000,1700000,2300000,800000, Approved
+3901,0, Graduate, Yes,8200000,29700000,6,405,3900000,800000,23900000,5700000, Rejected
+3902,5, Graduate, No,2300000,4900000,4,529,6200000,3900000,9200000,2000000, Rejected
+3903,5, Graduate, Yes,6900000,19400000,6,801,10100000,9400000,17000000,5500000, Approved
+3904,3, Not Graduate, No,8800000,30700000,12,707,15000000,100000,32800000,8000000, Approved
+3905,1, Graduate, No,2600000,7200000,8,349,5900000,1400000,9400000,3000000, Rejected
+3906,1, Graduate, No,3700000,8700000,20,885,6200000,3500000,10900000,2600000, Approved
+3907,2, Graduate, Yes,6200000,23800000,4,489,2900000,7500000,21300000,3300000, Approved
+3908,3, Graduate, Yes,1000000,2600000,6,341,2900000,1700000,3600000,1100000, Rejected
+3909,1, Not Graduate, No,6000000,20000000,12,637,10800000,4300000,20000000,8600000, Approved
+3910,1, Not Graduate, Yes,9100000,31400000,4,304,14100000,16700000,30200000,9600000, Approved
+3911,1, Graduate, No,1700000,6700000,16,537,4300000,2900000,3500000,1100000, Rejected
+3912,5, Not Graduate, Yes,1700000,4600000,12,503,900000,2200000,4800000,1200000, Rejected
+3913,1, Graduate, No,7100000,14300000,12,720,4600000,500000,27300000,8400000, Approved
+3914,5, Graduate, No,9400000,36800000,10,509,20700000,7400000,22400000,6300000, Rejected
+3915,5, Not Graduate, No,6200000,16400000,6,360,900000,7200000,22400000,6300000, Rejected
+3916,1, Graduate, No,8300000,31800000,16,818,23400000,7400000,32200000,8500000, Approved
+3917,1, Graduate, Yes,8900000,21200000,8,716,5400000,9200000,23800000,7900000, Approved
+3918,1, Graduate, Yes,6500000,14800000,12,360,3500000,2100000,15000000,7300000, Rejected
+3919,3, Graduate, Yes,8100000,26700000,10,895,5100000,9800000,17100000,9900000, Approved
+3920,2, Not Graduate, No,4900000,13500000,8,328,10500000,8100000,18300000,3400000, Rejected
+3921,4, Graduate, No,9100000,26600000,2,812,23300000,11900000,33100000,10400000, Approved
+3922,3, Graduate, Yes,9000000,33100000,16,456,23800000,7000000,26000000,7100000, Rejected
+3923,4, Graduate, Yes,1300000,3900000,16,566,700000,200000,3400000,1600000, Approved
+3924,1, Not Graduate, No,6700000,25000000,20,598,5300000,12900000,13600000,7000000, Approved
+3925,5, Not Graduate, No,3200000,9300000,6,656,7000000,3200000,12700000,4200000, Approved
+3926,0, Not Graduate, No,7500000,28700000,2,895,2000000,4100000,21500000,7200000, Approved
+3927,3, Graduate, No,4900000,12800000,14,653,7300000,1000000,13000000,7200000, Approved
+3928,1, Not Graduate, Yes,700000,1800000,16,641,2100000,400000,1600000,900000, Approved
+3929,2, Graduate, No,6400000,16500000,8,544,12100000,6300000,15200000,5400000, Rejected
+3930,0, Not Graduate, Yes,3900000,14100000,20,811,5700000,3600000,10500000,5300000, Approved
+3931,4, Graduate, No,9700000,26900000,10,460,11400000,3900000,31400000,9300000, Rejected
+3932,5, Graduate, Yes,3600000,12500000,12,795,10600000,2700000,11100000,4800000, Approved
+3933,2, Graduate, Yes,3400000,10300000,4,745,4900000,4000000,10000000,3900000, Approved
+3934,0, Not Graduate, No,9800000,20100000,16,606,6200000,800000,37300000,8700000, Approved
+3935,1, Not Graduate, No,5100000,14200000,6,451,6100000,7600000,11400000,5600000, Rejected
+3936,4, Graduate, Yes,5900000,11800000,8,479,11000000,1200000,15700000,3900000, Rejected
+3937,5, Graduate, No,1200000,2400000,14,495,1800000,1800000,4100000,1300000, Rejected
+3938,2, Not Graduate, No,9700000,30200000,14,769,23700000,13600000,26400000,7500000, Approved
+3939,5, Not Graduate, Yes,4700000,11800000,4,639,3600000,700000,9400000,5500000, Approved
+3940,5, Graduate, No,4200000,12500000,18,723,1200000,300000,12900000,6100000, Approved
+3941,4, Graduate, No,9300000,26100000,16,623,11700000,10500000,21100000,10700000, Approved
+3942,3, Not Graduate, Yes,5300000,20800000,6,487,9700000,3400000,18500000,4200000, Rejected
+3943,0, Graduate, No,7600000,30100000,2,743,20700000,8700000,27600000,9600000, Approved
+3944,2, Graduate, No,6200000,16900000,12,754,2300000,4200000,15300000,7900000, Approved
+3945,0, Graduate, No,8900000,21600000,10,552,2300000,9900000,20700000,11900000, Approved
+3946,4, Not Graduate, Yes,7900000,27300000,10,560,23100000,14400000,28500000,10900000, Approved
+3947,1, Graduate, Yes,3500000,10800000,14,632,6900000,1500000,10900000,4200000, Approved
+3948,2, Graduate, No,5300000,16700000,18,339,4600000,3300000,12000000,4100000, Rejected
+3949,2, Not Graduate, No,1400000,3100000,4,881,3700000,400000,5000000,1100000, Approved
+3950,1, Not Graduate, Yes,9100000,23600000,20,535,2800000,17600000,26400000,4500000, Rejected
+3951,4, Not Graduate, No,4400000,17200000,4,563,4100000,3700000,12700000,2900000, Approved
+3952,5, Not Graduate, No,2800000,8200000,14,615,7400000,3300000,6700000,2700000, Approved
+3953,3, Not Graduate, No,1300000,3300000,8,795,1400000,800000,4600000,1600000, Approved
+3954,4, Graduate, No,8400000,28700000,14,878,23400000,8300000,23900000,8600000, Approved
+3955,5, Graduate, Yes,5300000,14000000,6,633,11800000,4500000,12800000,6100000, Approved
+3956,2, Graduate, No,6000000,13900000,4,533,3000000,9600000,14600000,4100000, Rejected
+3957,2, Not Graduate, Yes,2100000,6800000,12,795,6100000,1900000,7200000,2400000, Approved
+3958,0, Not Graduate, No,4300000,11000000,4,374,7100000,7300000,9300000,4700000, Rejected
+3959,4, Not Graduate, Yes,7300000,22900000,12,848,6300000,2900000,28500000,4100000, Approved
+3960,2, Graduate, No,5200000,16200000,12,890,10500000,9600000,15800000,3900000, Approved
+3961,3, Graduate, No,4700000,9800000,14,444,8200000,300000,15700000,3800000, Rejected
+3962,4, Graduate, No,7800000,28500000,4,803,15500000,11300000,21100000,9800000, Approved
+3963,3, Graduate, Yes,500000,1900000,18,618,-100000,600000,1000000,400000, Approved
+3964,1, Not Graduate, Yes,6000000,20300000,14,845,5000000,7800000,23700000,8700000, Approved
+3965,4, Graduate, No,4800000,10800000,12,833,3000000,4000000,16400000,7100000, Approved
+3966,3, Graduate, Yes,8900000,19300000,12,767,12000000,2200000,24700000,7700000, Approved
+3967,1, Graduate, Yes,1800000,4000000,16,747,700000,200000,4600000,900000, Approved
+3968,2, Graduate, No,3000000,7000000,4,588,5300000,3400000,11900000,3400000, Approved
+3969,4, Not Graduate, No,7700000,24500000,20,582,9800000,6600000,29100000,6500000, Approved
+3970,1, Not Graduate, No,8300000,20400000,14,348,5600000,12500000,29100000,4700000, Rejected
+3971,4, Not Graduate, No,4200000,9400000,4,726,10000000,8100000,16100000,5500000, Approved
+3972,4, Graduate, Yes,8000000,31200000,6,482,19800000,11500000,22200000,5700000, Rejected
+3973,2, Graduate, Yes,9400000,30000000,16,565,1200000,3900000,28200000,9000000, Approved
+3974,1, Graduate, No,800000,2400000,16,872,2400000,1200000,1900000,900000, Approved
+3975,0, Graduate, Yes,500000,1300000,4,825,600000,0,1800000,200000, Approved
+3976,2, Graduate, Yes,6100000,22300000,8,694,16200000,10900000,22900000,7200000, Approved
+3977,3, Graduate, Yes,8500000,30800000,20,448,23000000,1400000,22900000,7900000, Rejected
+3978,5, Graduate, Yes,7600000,18000000,12,452,7900000,4300000,23800000,4700000, Rejected
+3979,3, Not Graduate, No,8700000,17900000,12,897,16400000,3500000,31600000,12500000, Approved
+3980,4, Not Graduate, No,9400000,20200000,10,803,24800000,1000000,34400000,4800000, Approved
+3981,1, Not Graduate, Yes,400000,900000,8,828,600000,500000,1500000,300000, Approved
+3982,0, Graduate, No,2700000,7500000,6,832,7700000,1200000,10000000,2500000, Approved
+3983,1, Not Graduate, Yes,2300000,5500000,6,861,1600000,1200000,4700000,1700000, Approved
+3984,0, Graduate, No,7500000,15900000,2,535,17500000,5700000,23600000,4500000, Rejected
+3985,4, Not Graduate, Yes,7100000,19400000,16,363,17900000,2600000,22600000,4000000, Rejected
+3986,1, Not Graduate, Yes,8800000,28600000,8,631,11000000,13200000,25000000,7700000, Approved
+3987,2, Not Graduate, No,8400000,20700000,6,513,500000,16400000,18800000,7900000, Rejected
+3988,0, Graduate, Yes,4700000,16200000,16,317,12700000,400000,9400000,2500000, Rejected
+3989,1, Graduate, No,6900000,19500000,2,809,6100000,10600000,22900000,9300000, Approved
+3990,3, Not Graduate, No,2400000,8200000,10,531,6800000,1900000,5700000,2000000, Rejected
+3991,1, Not Graduate, Yes,1600000,4800000,14,544,2200000,200000,6200000,1200000, Rejected
+3992,0, Graduate, No,3500000,7800000,14,366,6400000,3000000,13700000,4900000, Rejected
+3993,0, Not Graduate, No,3700000,12700000,14,797,1300000,1100000,12300000,3700000, Approved
+3994,1, Not Graduate, No,3200000,12000000,16,597,6800000,1900000,7700000,2200000, Approved
+3995,2, Not Graduate, Yes,7000000,22500000,12,632,12500000,4600000,20400000,4900000, Approved
+3996,5, Not Graduate, No,9300000,28300000,12,741,7600000,12900000,32400000,5200000, Approved
+3997,0, Not Graduate, No,200000,800000,20,331,300000,0,500000,100000, Rejected
+3998,4, Graduate, No,6900000,16500000,8,426,3900000,5200000,18300000,9000000, Rejected
+3999,3, Not Graduate, No,9000000,26500000,8,533,17100000,12400000,27800000,6000000, Rejected
+4000,1, Not Graduate, No,6900000,22700000,16,394,3800000,4300000,27400000,8700000, Rejected
+4001,0, Graduate, No,7500000,25100000,14,877,21000000,11400000,16900000,10700000, Approved
+4002,5, Not Graduate, No,9200000,28000000,8,527,18700000,7700000,24400000,6400000, Rejected
+4003,1, Graduate, No,4600000,12700000,8,468,10400000,0,14500000,3900000, Rejected
+4004,4, Graduate, Yes,5000000,19600000,18,611,13400000,4400000,14400000,4600000, Approved
+4005,2, Graduate, No,4500000,17200000,6,832,2700000,8500000,10900000,6700000, Approved
+4006,0, Graduate, No,7900000,22700000,18,508,6600000,7000000,31600000,8900000, Rejected
+4007,5, Not Graduate, No,5100000,13500000,20,840,1400000,5300000,14700000,4500000, Approved
+4008,4, Graduate, No,3700000,7600000,14,794,9500000,7300000,12100000,4500000, Approved
+4009,1, Not Graduate, No,5300000,17800000,12,889,15300000,500000,14900000,6800000, Approved
+4010,4, Not Graduate, No,200000,500000,16,765,600000,100000,600000,100000, Approved
+4011,3, Graduate, Yes,9000000,18600000,16,518,18400000,17600000,28900000,10300000, Rejected
+4012,3, Not Graduate, No,6900000,17100000,4,694,4200000,6100000,27000000,6000000, Approved
+4013,2, Not Graduate, No,700000,2300000,8,663,700000,500000,2800000,1000000, Approved
+4014,0, Graduate, No,2500000,8900000,2,662,4000000,2100000,9700000,3000000, Approved
+4015,0, Not Graduate, No,4600000,14400000,14,642,10100000,8700000,11100000,4800000, Approved
+4016,4, Graduate, No,1000000,3900000,10,701,2200000,1000000,4000000,900000, Approved
+4017,4, Not Graduate, Yes,9200000,30100000,6,632,23700000,6600000,34200000,6200000, Approved
+4018,3, Graduate, Yes,2200000,4400000,2,861,1300000,2600000,4500000,2300000, Approved
+4019,4, Graduate, Yes,9700000,33300000,12,784,14600000,15800000,37900000,6500000, Approved
+4020,0, Graduate, Yes,5500000,18200000,4,332,8100000,4000000,16400000,5600000, Approved
+4021,4, Not Graduate, Yes,1300000,3400000,2,763,3800000,200000,5100000,1400000, Approved
+4022,1, Not Graduate, Yes,7900000,19100000,2,593,20800000,12200000,26100000,7800000, Approved
+4023,2, Not Graduate, No,4300000,8800000,6,512,7200000,6500000,16900000,2700000, Rejected
+4024,0, Not Graduate, No,3800000,13300000,6,655,9600000,0,8600000,2600000, Approved
+4025,3, Not Graduate, No,8700000,24700000,8,369,4000000,800000,31100000,4800000, Rejected
+4026,3, Graduate, No,1300000,3100000,14,348,1500000,600000,3900000,600000, Rejected
+4027,1, Not Graduate, Yes,6800000,16800000,10,736,2000000,2600000,23800000,5600000, Approved
+4028,1, Not Graduate, No,9100000,24000000,20,353,25100000,9200000,26100000,10900000, Rejected
+4029,0, Graduate, No,3000000,11300000,16,478,5600000,2000000,9800000,2000000, Rejected
+4030,0, Not Graduate, Yes,1200000,3000000,4,827,3200000,600000,2300000,1500000, Approved
+4031,1, Not Graduate, Yes,5000000,16900000,12,517,2200000,1500000,15500000,5400000, Rejected
+4032,5, Graduate, Yes,9700000,24700000,18,648,15100000,600000,25200000,6800000, Approved
+4033,2, Not Graduate, Yes,7000000,23800000,10,689,8400000,5400000,15700000,7800000, Approved
+4034,1, Graduate, No,4100000,9100000,20,550,9900000,5200000,10800000,4800000, Approved
+4035,0, Graduate, Yes,5300000,12900000,20,826,15500000,6800000,12000000,5200000, Approved
+4036,1, Not Graduate, No,7300000,19200000,14,599,18400000,5400000,15900000,3700000, Approved
+4037,1, Graduate, No,6500000,18500000,16,815,6300000,10000000,13400000,4000000, Approved
+4038,4, Graduate, Yes,600000,1400000,4,761,800000,500000,2100000,300000, Approved
+4039,3, Not Graduate, Yes,5200000,15000000,20,432,6900000,5000000,15600000,5100000, Rejected
+4040,4, Not Graduate, Yes,2800000,9200000,18,442,5800000,4800000,8400000,1300000, Rejected
+4041,1, Graduate, Yes,7800000,23300000,6,620,3500000,2100000,22200000,7600000, Approved
+4042,2, Graduate, No,3000000,6500000,4,476,7900000,300000,9400000,1500000, Rejected
+4043,4, Graduate, No,9300000,34900000,6,837,27400000,800000,21400000,8500000, Approved
+4044,3, Not Graduate, Yes,5100000,18000000,6,510,13400000,6600000,17200000,7600000, Rejected
+4045,4, Not Graduate, Yes,4300000,16100000,18,849,3800000,6600000,17100000,6400000, Approved
+4046,3, Graduate, No,1100000,2100000,8,737,2900000,2000000,2500000,900000, Approved
+4047,2, Graduate, No,6500000,16200000,10,809,14000000,4700000,13200000,8600000, Approved
+4048,3, Not Graduate, No,6400000,23000000,8,520,12100000,11400000,16000000,3800000, Rejected
+4049,2, Not Graduate, No,7400000,22500000,16,834,6400000,12600000,15700000,6000000, Approved
+4050,4, Graduate, No,8700000,32100000,8,397,8900000,17000000,34700000,4800000, Rejected
+4051,0, Not Graduate, No,9200000,24700000,14,438,4800000,16000000,20600000,10700000, Rejected
+4052,1, Graduate, Yes,6200000,19700000,18,820,11200000,3400000,15600000,4700000, Approved
+4053,1, Not Graduate, No,1200000,4600000,20,323,2000000,1700000,2600000,1400000, Rejected
+4054,1, Not Graduate, Yes,7000000,20300000,14,837,7700000,2200000,19700000,5500000, Approved
+4055,5, Graduate, Yes,3800000,10100000,2,571,7400000,6600000,12600000,3300000, Approved
+4056,0, Graduate, No,4900000,16300000,14,479,1600000,6400000,18600000,2700000, Rejected
+4057,2, Graduate, Yes,7800000,22100000,6,533,11900000,2500000,19300000,10800000, Rejected
+4058,1, Not Graduate, Yes,7400000,17200000,8,899,16500000,8700000,16700000,4900000, Approved
+4059,1, Not Graduate, No,7000000,26600000,16,460,20500000,3300000,27700000,4600000, Rejected
+4060,1, Not Graduate, No,4900000,12500000,2,636,14200000,6400000,13900000,5000000, Approved
+4061,3, Not Graduate, No,5800000,20600000,20,434,8400000,2700000,22600000,7000000, Rejected
+4062,5, Not Graduate, No,2000000,6900000,18,516,4600000,3400000,6500000,1600000, Rejected
+4063,4, Graduate, No,8300000,24600000,2,382,1400000,1200000,16700000,6600000, Rejected
+4064,0, Graduate, Yes,1000000,2800000,12,616,700000,700000,3900000,700000, Approved
+4065,3, Graduate, No,5500000,11600000,6,745,9400000,8000000,12800000,5400000, Approved
+4066,5, Graduate, No,1400000,3400000,6,697,2000000,500000,4600000,1600000, Approved
+4067,4, Graduate, No,3700000,12300000,6,364,5900000,4200000,13700000,4400000, Rejected
+4068,2, Not Graduate, Yes,2100000,6900000,2,566,700000,1500000,8100000,1000000, Approved
+4069,4, Not Graduate, No,6200000,21900000,12,462,9400000,2000000,16600000,8300000, Rejected
+4070,0, Not Graduate, No,9300000,31900000,2,331,7100000,11200000,23700000,8000000, Approved
+4071,3, Not Graduate, Yes,5100000,10300000,12,839,13400000,5400000,10700000,7500000, Approved
+4072,0, Graduate, Yes,7000000,14000000,4,702,9000000,3100000,21400000,7600000, Approved
+4073,3, Graduate, Yes,5300000,17900000,2,580,10200000,6400000,11600000,3600000, Approved
+4074,3, Graduate, No,900000,2800000,10,560,2700000,300000,1900000,1300000, Approved
+4075,4, Not Graduate, Yes,9400000,25700000,14,845,27300000,4100000,26500000,12200000, Approved
+4076,4, Not Graduate, Yes,2600000,8500000,4,392,5500000,100000,8800000,2900000, Approved
+4077,2, Graduate, No,1500000,4900000,16,387,-100000,2400000,3700000,1300000, Rejected
+4078,1, Graduate, Yes,1800000,6300000,12,749,4200000,200000,3800000,2700000, Approved
+4079,3, Graduate, Yes,7800000,20000000,14,727,4600000,7200000,17300000,8600000, Approved
+4080,3, Graduate, Yes,2100000,7400000,14,656,5600000,400000,5200000,2800000, Approved
+4081,0, Not Graduate, Yes,8300000,17500000,20,643,24800000,8900000,18800000,5100000, Approved
+4082,2, Not Graduate, Yes,4400000,16800000,4,307,12800000,7200000,9700000,5800000, Approved
+4083,2, Not Graduate, No,2300000,5000000,16,588,2000000,3500000,7000000,1500000, Approved
+4084,3, Graduate, Yes,7700000,22300000,20,895,22200000,13300000,23900000,9100000, Approved
+4085,0, Not Graduate, Yes,9300000,29400000,10,351,24200000,6800000,35800000,6100000, Rejected
+4086,5, Not Graduate, No,5900000,16400000,12,891,10200000,10400000,19600000,4700000, Approved
+4087,5, Not Graduate, Yes,1900000,4900000,4,442,3200000,2100000,5800000,900000, Rejected
+4088,0, Not Graduate, No,6900000,19500000,20,686,2300000,8700000,16400000,6200000, Approved
+4089,4, Graduate, Yes,2100000,8200000,20,432,6000000,900000,5600000,1000000, Rejected
+4090,0, Not Graduate, No,8200000,20900000,14,766,4400000,12300000,18400000,12100000, Approved
+4091,4, Not Graduate, No,7700000,17200000,6,561,6000000,5000000,15400000,6800000, Approved
+4092,5, Not Graduate, No,7700000,19000000,2,539,4000000,14500000,29300000,4100000, Rejected
+4093,1, Graduate, No,700000,1400000,6,759,1000000,500000,2600000,700000, Approved
+4094,5, Graduate, No,7100000,18200000,8,750,21000000,7900000,20800000,5300000, Approved
+4095,2, Graduate, No,3900000,13600000,10,373,11600000,1000000,8400000,3600000, Rejected
+4096,1, Not Graduate, Yes,5200000,20500000,10,407,1100000,3400000,18200000,3800000, Rejected
+4097,4, Not Graduate, No,5500000,20200000,14,611,13700000,5700000,15100000,7200000, Approved
+4098,3, Graduate, No,2600000,6300000,10,783,6500000,2400000,6500000,2600000, Approved
+4099,0, Not Graduate, Yes,7300000,24000000,18,651,16600000,100000,19600000,4500000, Approved
+4100,3, Graduate, No,8700000,31100000,16,760,400000,1800000,19300000,4800000, Rejected
+4101,3, Graduate, No,9000000,22700000,16,793,11700000,10800000,35000000,7000000, Approved
+4102,4, Graduate, No,400000,800000,16,685,500000,300000,1300000,600000, Approved
+4103,2, Not Graduate, Yes,3300000,10700000,8,806,5700000,600000,11500000,4900000, Approved
+4104,1, Not Graduate, No,6300000,17800000,12,770,6000000,3000000,17000000,3200000, Approved
+4105,0, Not Graduate, No,7000000,23600000,14,663,13800000,9100000,21300000,7200000, Approved
+4106,2, Graduate, Yes,2100000,8100000,4,592,2000000,2500000,7900000,2700000, Approved
+4107,3, Not Graduate, No,7600000,26300000,18,580,19100000,14600000,25500000,5100000, Approved
+4108,1, Graduate, No,8200000,17500000,4,609,4500000,5600000,24100000,7700000, Approved
+4109,3, Not Graduate, Yes,9200000,23200000,8,380,13100000,15500000,18900000,6100000, Rejected
+4110,3, Graduate, No,3800000,12100000,20,364,4100000,5100000,11600000,3000000, Rejected
+4111,1, Graduate, No,3200000,8900000,12,866,5100000,700000,9900000,2400000, Approved
+4112,4, Not Graduate, No,9700000,31700000,10,342,700000,100000,36700000,12000000, Rejected
+4113,5, Graduate, No,4700000,14400000,16,884,9900000,4400000,9300000,3800000, Approved
+4114,4, Graduate, Yes,3800000,12500000,18,859,3900000,4600000,8200000,2700000, Approved
+4115,4, Graduate, No,400000,1000000,20,692,500000,400000,1600000,200000, Approved
+4116,4, Not Graduate, Yes,3200000,6800000,16,675,8000000,1900000,6800000,4000000, Approved
+4117,5, Graduate, Yes,3900000,12700000,8,886,3500000,5800000,14900000,5400000, Approved
+4118,1, Graduate, Yes,3500000,13100000,10,477,3200000,6200000,7500000,3100000, Rejected
+4119,2, Graduate, No,2200000,8300000,6,596,4700000,3000000,8500000,1800000, Approved
+4120,4, Not Graduate, No,6400000,19700000,20,400,2300000,6100000,20100000,6200000, Rejected
+4121,3, Graduate, No,9100000,19900000,2,711,2200000,17900000,24300000,13000000, Approved
+4122,0, Not Graduate, Yes,3300000,8900000,2,418,4200000,6000000,9300000,3700000, Rejected
+4123,3, Graduate, No,7800000,21800000,8,517,7700000,5100000,19500000,9100000, Rejected
+4124,0, Not Graduate, Yes,6200000,16200000,6,508,5600000,5700000,21500000,3600000, Rejected
+4125,3, Not Graduate, Yes,7000000,26100000,18,689,17200000,5700000,20500000,5900000, Approved
+4126,0, Graduate, No,9200000,28200000,12,455,19200000,6400000,34700000,5900000, Rejected
+4127,5, Not Graduate, Yes,7500000,20800000,6,617,100000,14200000,19300000,8200000, Approved
+4128,2, Graduate, No,5300000,13200000,10,500,4700000,9800000,20400000,2900000, Rejected
+4129,5, Not Graduate, Yes,6800000,22800000,14,382,17600000,700000,21700000,5800000, Rejected
+4130,1, Not Graduate, No,7900000,20800000,18,538,10000000,9700000,29900000,10600000, Rejected
+4131,0, Not Graduate, Yes,6200000,14900000,8,855,-100000,7200000,14200000,8200000, Approved
+4132,1, Graduate, No,1000000,3000000,18,614,1800000,1700000,3700000,700000, Approved
+4133,2, Graduate, Yes,7800000,25400000,10,513,22100000,600000,23500000,9800000, Rejected
+4134,5, Graduate, Yes,3000000,8800000,14,402,5600000,5300000,8600000,4200000, Rejected
+4135,5, Graduate, Yes,5700000,15000000,20,819,15500000,9800000,14100000,3400000, Approved
+4136,4, Not Graduate, No,6600000,25400000,12,622,9200000,3500000,19900000,7500000, Approved
+4137,4, Graduate, Yes,7100000,18200000,4,790,2500000,2200000,25500000,9600000, Approved
+4138,3, Graduate, Yes,1300000,4800000,14,808,3100000,2000000,5100000,1500000, Approved
+4139,2, Not Graduate, No,5200000,16800000,18,369,5400000,8600000,17000000,6800000, Rejected
+4140,3, Graduate, No,5600000,20300000,4,330,16100000,5100000,15300000,4200000, Approved
+4141,2, Graduate, No,7100000,16500000,14,857,3700000,10700000,18500000,8200000, Approved
+4142,2, Graduate, No,5100000,19100000,8,457,13200000,5100000,16400000,7600000, Rejected
+4143,3, Not Graduate, Yes,7600000,29300000,8,843,21500000,3000000,22800000,11200000, Approved
+4144,0, Graduate, Yes,2500000,5400000,6,463,1900000,3500000,8200000,1800000, Rejected
+4145,3, Graduate, No,6900000,22800000,16,582,17700000,2200000,23500000,4400000, Approved
+4146,0, Graduate, No,3100000,6500000,2,391,100000,3800000,9900000,2400000, Rejected
+4147,2, Graduate, Yes,9700000,35100000,20,612,13400000,13500000,38200000,6500000, Approved
+4148,0, Not Graduate, Yes,5800000,12600000,2,859,13500000,4700000,21200000,4500000, Approved
+4149,4, Not Graduate, No,7600000,18600000,18,779,9100000,5600000,15200000,10000000, Approved
+4150,5, Not Graduate, No,700000,2800000,2,561,900000,400000,1900000,800000, Approved
+4151,3, Graduate, No,2300000,5600000,18,420,1300000,600000,6700000,2100000, Rejected
+4152,3, Not Graduate, No,1600000,3300000,8,609,4700000,100000,6000000,800000, Approved
+4153,4, Not Graduate, No,8100000,19300000,14,821,16500000,8500000,25800000,8300000, Approved
+4154,1, Graduate, No,7700000,17100000,14,603,11100000,12100000,30300000,7100000, Approved
+4155,4, Graduate, No,1500000,3400000,10,778,3800000,300000,4000000,2200000, Approved
+4156,3, Not Graduate, No,7400000,23500000,2,460,20600000,12200000,25900000,9200000, Approved
+4157,4, Not Graduate, Yes,8900000,27100000,18,363,7800000,9600000,25400000,12700000, Rejected
+4158,0, Graduate, No,2400000,5300000,16,482,5500000,4200000,8400000,2600000, Rejected
+4159,5, Graduate, No,5600000,20300000,4,772,10600000,6000000,13600000,7600000, Approved
+4160,4, Graduate, No,5900000,14400000,6,745,15300000,5100000,16500000,3000000, Approved
+4161,1, Graduate, No,1600000,3300000,2,513,400000,1300000,4600000,2200000, Rejected
+4162,5, Not Graduate, No,1100000,4000000,2,362,1800000,1300000,3500000,1100000, Approved
+4163,2, Graduate, Yes,6600000,25600000,6,740,10900000,1900000,18900000,9200000, Approved
+4164,3, Graduate, No,8900000,24400000,10,774,11200000,6100000,31400000,7300000, Approved
+4165,1, Graduate, Yes,6400000,16400000,20,555,6000000,2500000,20100000,7400000, Approved
+4166,4, Not Graduate, Yes,8200000,17300000,12,588,9700000,1200000,20700000,4800000, Approved
+4167,1, Graduate, No,500000,1300000,14,619,1500000,100000,2000000,500000, Approved
+4168,0, Graduate, No,9700000,31600000,18,607,24300000,7900000,32400000,7500000, Approved
+4169,3, Not Graduate, Yes,7100000,16700000,4,435,1700000,9600000,24300000,6200000, Rejected
+4170,4, Not Graduate, Yes,1400000,3400000,14,835,3100000,100000,4100000,2100000, Approved
+4171,1, Not Graduate, No,7200000,28100000,14,767,10000000,10400000,27500000,4000000, Approved
+4172,1, Graduate, Yes,8400000,26200000,14,643,19400000,11500000,17900000,6900000, Approved
+4173,4, Not Graduate, No,4300000,13900000,2,894,10100000,100000,8600000,3300000, Approved
+4174,0, Not Graduate, Yes,8800000,29800000,8,343,20000000,4900000,33300000,12200000, Rejected
+4175,4, Not Graduate, No,4000000,15100000,8,800,8700000,6900000,12200000,4400000, Approved
+4176,3, Not Graduate, Yes,6900000,17900000,18,494,7700000,11200000,15400000,8700000, Rejected
+4177,4, Graduate, No,9600000,33000000,14,336,5800000,8500000,30100000,4900000, Rejected
+4178,2, Not Graduate, No,6900000,16500000,16,785,19600000,8600000,27100000,3600000, Approved
+4179,1, Not Graduate, Yes,3600000,13400000,16,732,5200000,6700000,7300000,3300000, Approved
+4180,2, Not Graduate, No,1900000,4600000,12,587,3000000,1300000,4800000,1100000, Approved
+4181,3, Not Graduate, Yes,9700000,30800000,18,471,12700000,3800000,37300000,10400000, Rejected
+4182,2, Not Graduate, No,1200000,4100000,8,497,2700000,700000,3700000,1300000, Rejected
+4183,1, Not Graduate, No,400000,1600000,16,784,800000,700000,700000,100000, Approved
+4184,2, Graduate, No,6600000,21500000,18,471,13700000,9800000,17100000,4800000, Rejected
+4185,2, Graduate, No,1500000,3300000,4,763,300000,1200000,5400000,700000, Approved
+4186,4, Not Graduate, No,3500000,9500000,2,655,9900000,6600000,9400000,3100000, Approved
+4187,3, Not Graduate, Yes,4000000,8600000,4,667,11500000,6300000,15300000,3500000, Approved
+4188,3, Not Graduate, No,4100000,14100000,8,367,900000,800000,8900000,5300000, Rejected
+4189,4, Graduate, No,5800000,18500000,16,436,1400000,5500000,17100000,6500000, Rejected
+4190,4, Graduate, Yes,8600000,23300000,12,785,18800000,3800000,23500000,4500000, Approved
+4191,2, Graduate, No,4500000,11400000,10,388,11600000,3000000,14300000,2900000, Rejected
+4192,2, Graduate, Yes,9900000,37300000,8,385,600000,900000,27400000,14200000, Rejected
+4193,1, Not Graduate, Yes,3200000,8100000,10,670,9100000,3800000,9200000,1900000, Approved
+4194,5, Graduate, Yes,8900000,19100000,20,329,13300000,11400000,29500000,10000000, Rejected
+4195,5, Not Graduate, Yes,2100000,4900000,12,651,2500000,2100000,6100000,1800000, Approved
+4196,1, Graduate, No,7100000,26000000,16,727,4300000,9500000,18900000,8900000, Approved
+4197,2, Graduate, Yes,7800000,28900000,14,646,1800000,1800000,17700000,11000000, Approved
+4198,3, Not Graduate, Yes,8600000,23200000,12,894,22100000,13900000,29200000,4500000, Approved
+4199,3, Graduate, Yes,5100000,17000000,10,477,1700000,3300000,13700000,6300000, Rejected
+4200,5, Not Graduate, No,600000,2000000,20,811,300000,400000,1900000,600000, Approved
+4201,0, Graduate, Yes,6600000,21200000,18,377,1000000,9600000,14800000,9500000, Rejected
+4202,0, Not Graduate, Yes,4700000,17000000,18,802,3600000,1600000,17800000,2700000, Approved
+4203,2, Graduate, Yes,7700000,19700000,14,885,19900000,14600000,22000000,8000000, Approved
+4204,4, Graduate, Yes,6400000,21900000,6,437,7000000,10000000,24600000,4100000, Rejected
+4205,2, Graduate, No,1100000,2500000,20,615,2800000,1700000,2300000,1300000, Approved
+4206,2, Not Graduate, No,8900000,17800000,20,603,3300000,17600000,29000000,13100000, Approved
+4207,0, Not Graduate, Yes,2100000,8300000,20,765,-100000,3600000,7700000,2100000, Approved
+4208,4, Not Graduate, Yes,2300000,5800000,8,469,6100000,4200000,7900000,2400000, Rejected
+4209,3, Graduate, No,8300000,17700000,16,848,10500000,1100000,18700000,5900000, Approved
+4210,4, Graduate, No,900000,2700000,20,327,400000,1200000,2200000,1200000, Rejected
+4211,3, Not Graduate, Yes,9200000,35000000,4,716,1100000,10200000,33600000,11400000, Approved
+4212,3, Graduate, No,9800000,28300000,2,715,19500000,9600000,28800000,9200000, Approved
+4213,0, Not Graduate, No,200000,600000,12,683,400000,200000,400000,0, Approved
+4214,2, Not Graduate, Yes,3200000,9700000,6,737,7300000,3500000,9700000,2600000, Approved
+4215,5, Not Graduate, No,7800000,27000000,6,728,4400000,13100000,18500000,7400000, Approved
+4216,1, Graduate, No,8300000,30000000,18,350,12800000,10800000,23800000,9400000, Rejected
+4217,1, Graduate, Yes,2100000,5200000,14,802,100000,600000,6400000,2500000, Approved
+4218,5, Not Graduate, Yes,400000,1400000,4,483,1100000,700000,800000,100000, Approved
+4219,3, Graduate, Yes,7700000,21800000,18,684,100000,600000,15600000,5500000, Approved
+4220,4, Graduate, Yes,5600000,16500000,20,692,14500000,7800000,18000000,7400000, Approved
+4221,0, Graduate, No,8400000,31000000,4,783,19000000,13300000,30600000,6900000, Approved
+4222,3, Graduate, Yes,1300000,4300000,18,412,600000,900000,5200000,1200000, Rejected
+4223,0, Not Graduate, No,8700000,30200000,10,447,14200000,14800000,28200000,6100000, Rejected
+4224,0, Not Graduate, No,2700000,8400000,14,610,900000,1900000,6100000,2800000, Approved
+4225,5, Graduate, Yes,800000,1800000,8,881,300000,1100000,2600000,400000, Approved
+4226,5, Graduate, Yes,3800000,10300000,16,606,7700000,1900000,9900000,2700000, Approved
+4227,5, Graduate, Yes,700000,2600000,2,869,1100000,500000,1400000,500000, Approved
+4228,4, Graduate, Yes,400000,1400000,2,496,400000,200000,1100000,400000, Approved
+4229,1, Graduate, Yes,3200000,9300000,6,483,6700000,1900000,7800000,3600000, Rejected
+4230,3, Graduate, No,7500000,22200000,8,741,6600000,6900000,17600000,11000000, Approved
+4231,2, Not Graduate, No,3700000,13500000,4,820,4700000,1600000,14000000,5300000, Approved
+4232,5, Graduate, No,3300000,9100000,18,697,8800000,1800000,11300000,2600000, Approved
+4233,1, Graduate, Yes,200000,500000,20,713,0,200000,500000,100000, Approved
+4234,1, Not Graduate, No,7100000,17000000,6,754,1100000,500000,27000000,6800000, Approved
+4235,3, Not Graduate, Yes,1500000,5100000,14,837,4100000,1000000,3300000,1400000, Approved
+4236,0, Not Graduate, No,3000000,6500000,2,691,7800000,4500000,8900000,2500000, Approved
+4237,3, Graduate, Yes,1900000,5300000,12,436,2300000,3500000,5000000,2600000, Rejected
+4238,0, Not Graduate, No,9100000,30100000,8,322,26200000,9500000,18800000,5900000, Rejected
+4239,0, Not Graduate, No,2200000,7500000,2,333,3400000,600000,6200000,1500000, Approved
+4240,0, Not Graduate, Yes,8400000,23000000,14,455,400000,13400000,29800000,9400000, Rejected
+4241,1, Graduate, Yes,400000,700000,10,787,1000000,200000,1600000,500000, Approved
+4242,2, Graduate, Yes,5600000,15800000,16,748,10300000,100000,21700000,6300000, Approved
+4243,5, Not Graduate, Yes,8200000,27100000,4,643,15400000,7700000,21300000,4100000, Approved
+4244,0, Not Graduate, Yes,1600000,3400000,8,867,-100000,2700000,4300000,1300000, Approved
+4245,3, Not Graduate, No,1800000,5600000,20,860,1900000,1700000,4300000,900000, Approved
+4246,5, Not Graduate, Yes,6500000,23900000,2,507,500000,10200000,15900000,8000000, Approved
+4247,1, Graduate, Yes,3100000,11500000,4,871,1500000,2400000,7100000,3600000, Approved
+4248,3, Not Graduate, No,3100000,9800000,12,820,6400000,5200000,10900000,4400000, Approved
+4249,4, Graduate, Yes,5300000,14500000,4,352,12600000,4900000,10500000,3500000, Rejected
+4250,4, Graduate, No,1100000,4000000,14,887,2400000,1500000,4200000,1600000, Approved
+4251,1, Graduate, Yes,6000000,13400000,12,731,1300000,4300000,21300000,6900000, Approved
+4252,0, Graduate, Yes,6100000,14600000,18,645,14500000,200000,23000000,4600000, Approved
+4253,3, Not Graduate, No,4100000,14100000,10,300,7600000,2100000,8400000,2200000, Rejected
+4254,5, Graduate, Yes,7000000,26200000,12,896,13100000,6600000,23600000,5700000, Approved
+4255,0, Not Graduate, Yes,8900000,27700000,6,372,18200000,14900000,33700000,6100000, Rejected
+4256,4, Graduate, No,4800000,12000000,6,441,8400000,1300000,18200000,3200000, Rejected
+4257,3, Graduate, Yes,7400000,18300000,4,348,14300000,12600000,17900000,9800000, Rejected
+4258,0, Graduate, No,9700000,27500000,18,343,13400000,16500000,20000000,8200000, Rejected
+4259,5, Graduate, Yes,9700000,22600000,16,346,23500000,12900000,26800000,13000000, Rejected
+4260,0, Not Graduate, Yes,4500000,11500000,14,509,13400000,2300000,15400000,5900000, Rejected
+4261,5, Graduate, No,8800000,29300000,10,560,16800000,13900000,31100000,9900000, Approved
+4262,3, Graduate, Yes,3000000,7500000,6,881,1400000,4500000,6100000,2300000, Approved
+4263,5, Graduate, No,1300000,3000000,20,540,1000000,2300000,3200000,1900000, Rejected
+4264,3, Graduate, No,5000000,12700000,14,865,4700000,8100000,19500000,6300000, Approved
+4265,5, Graduate, Yes,1000000,2300000,12,317,2800000,500000,3300000,800000, Rejected
+4266,0, Not Graduate, Yes,3300000,11300000,20,559,4200000,2900000,11000000,1900000, Approved
+4267,2, Not Graduate, No,6500000,23900000,18,457,1200000,12400000,18100000,7300000, Rejected
+4268,1, Not Graduate, No,4100000,12800000,8,780,8200000,700000,14100000,5800000, Approved
+4269,1, Graduate, No,9200000,29700000,10,607,17800000,11800000,35700000,12000000, Approved
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000000000000000000000000000000000000..89879d45a1ab818c41dca3ed366b229c6f956f96
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,13 @@
+version: '3'
+
+services:
+  xai-assist:
+    build: .
+    ports:
+      - "8000:8000"  # API
+      - "8501:8501"  # Streamlit
+    volumes:
+      - ./data:/app/data
+    environment:
+      - DATABASE_URL=sqlite:///./data/xai_assist.db
+    restart: unless-stopped
\ No newline at end of file
diff --git a/loan_applications.db b/loan_applications.db
new file mode 100644
index 0000000000000000000000000000000000000000..8cd7495af8c8815c58426b7d1019e6a8ba6d11c6
--- /dev/null
+++ b/loan_applications.db
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1b1872ab6ad008019d6b5e082cfcfaa7551c3e5aa3c954f63f73156d04e932e
+size 131
diff --git a/loan_approval_dataset.csv b/loan_approval_dataset.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0d0145fbed783b7594eb0b10dcd83407dda6494e
--- /dev/null
+++ b/loan_approval_dataset.csv
@@ -0,0 +1,4270 @@
+loan_id, no_of_dependents, education, self_employed, income_annum, loan_amount, loan_term, cibil_score, residential_assets_value, commercial_assets_value, luxury_assets_value, bank_asset_value, loan_status
+1,2, Graduate, No,9600000,29900000,12,778,2400000,17600000,22700000,8000000, Approved
+2,0, Not Graduate, Yes,4100000,12200000,8,417,2700000,2200000,8800000,3300000, Rejected
+3,3, Graduate, No,9100000,29700000,20,506,7100000,4500000,33300000,12800000, Rejected
+4,3, Graduate, No,8200000,30700000,8,467,18200000,3300000,23300000,7900000, Rejected
+5,5, Not Graduate, Yes,9800000,24200000,20,382,12400000,8200000,29400000,5000000, Rejected
+6,0, Graduate, Yes,4800000,13500000,10,319,6800000,8300000,13700000,5100000, Rejected
+7,5, Graduate, No,8700000,33000000,4,678,22500000,14800000,29200000,4300000, Approved
+8,2, Graduate, Yes,5700000,15000000,20,382,13200000,5700000,11800000,6000000, Rejected
+9,0, Graduate, Yes,800000,2200000,20,782,1300000,800000,2800000,600000, Approved
+10,5, Not Graduate, No,1100000,4300000,10,388,3200000,1400000,3300000,1600000, Rejected
+11,4, Graduate, Yes,2900000,11200000,2,547,8100000,4700000,9500000,3100000, Approved
+12,2, Not Graduate, Yes,6700000,22700000,18,538,15300000,5800000,20400000,6400000, Rejected
+13,3, Not Graduate, Yes,5000000,11600000,16,311,6400000,9600000,14600000,4300000, Rejected
+14,2, Graduate, Yes,9100000,31500000,14,679,10800000,16600000,20900000,5000000, Approved
+15,1, Not Graduate, No,1900000,7400000,6,469,1900000,1200000,5900000,1900000, Rejected
+16,5, Not Graduate, No,4700000,10700000,10,794,5700000,3900000,16400000,4400000, Approved
+17,2, Graduate, Yes,500000,1600000,4,663,1300000,100000,1300000,700000, Approved
+18,4, Not Graduate, Yes,2900000,9400000,14,780,2900000,2800000,6700000,4300000, Approved
+19,2, Graduate, No,2700000,10300000,10,736,1000000,0,6200000,3300000, Approved
+20,5, Graduate, No,6300000,14600000,12,652,10300000,3500000,23500000,5900000, Approved
+21,2, Graduate, No,5000000,19400000,12,315,9500000,1600000,18000000,6100000, Rejected
+22,4, Graduate, No,5800000,14000000,16,530,3800000,11300000,22200000,5400000, Rejected
+23,4, Graduate, Yes,6500000,25700000,18,311,13100000,1700000,19500000,8500000, Rejected
+24,0, Not Graduate, Yes,500000,1400000,2,551,900000,600000,1100000,300000, Approved
+25,0, Not Graduate, No,4900000,9800000,16,324,3800000,8700000,10000000,3300000, Rejected
+26,5, Not Graduate, No,3100000,9500000,20,514,7900000,3100000,6600000,2600000, Rejected
+27,4, Graduate, No,8200000,28100000,12,696,11500000,10600000,25300000,7200000, Approved
+28,4, Not Graduate, Yes,2400000,5600000,4,662,4500000,4200000,5400000,2500000, Approved
+29,5, Not Graduate, Yes,7000000,24000000,6,336,2300000,11900000,27500000,9700000, Rejected
+30,3, Not Graduate, Yes,9000000,31500000,10,850,21800000,12400000,33700000,8000000, Approved
+31,2, Not Graduate, No,9800000,25300000,12,313,20200000,5200000,25500000,9300000, Rejected
+32,2, Graduate, No,5700000,12000000,6,363,3600000,7400000,21700000,4300000, Rejected
+33,1, Not Graduate, Yes,800000,1600000,10,436,700000,200000,2200000,1000000, Rejected
+34,5, Not Graduate, Yes,8400000,22000000,2,830,3800000,3900000,19900000,5400000, Approved
+35,3, Graduate, No,4900000,11900000,8,612,9700000,1200000,19000000,5800000, Approved
+36,2, Graduate, Yes,1700000,3400000,8,691,2700000,2800000,6000000,900000, Approved
+37,3, Not Graduate, No,1600000,6200000,18,636,3400000,700000,5300000,1400000, Approved
+38,5, Graduate, Yes,8000000,27200000,6,348,6400000,300000,16700000,7100000, Rejected
+39,5, Graduate, No,3600000,7700000,16,830,7000000,1300000,10000000,2900000, Approved
+40,3, Not Graduate, Yes,1500000,5100000,6,352,100000,200000,5600000,900000, Rejected
+41,1, Graduate, No,7800000,18100000,2,712,8600000,11200000,21700000,9000000, Approved
+42,2, Not Graduate, No,9100000,24900000,16,822,22300000,12100000,31000000,5200000, Approved
+43,3, Graduate, No,1400000,3400000,6,540,200000,1500000,3900000,800000, Rejected
+44,2, Graduate, Yes,800000,2300000,12,342,2200000,1300000,1800000,800000, Rejected
+45,5, Graduate, No,6500000,13400000,18,787,18200000,300000,16200000,5400000, Approved
+46,4, Graduate, No,8000000,27800000,16,331,13000000,6300000,21400000,10900000, Rejected
+47,3, Not Graduate, Yes,4200000,14600000,6,679,2400000,6900000,8700000,4900000, Approved
+48,1, Graduate, Yes,4900000,19100000,14,677,5400000,9100000,17700000,6500000, Approved
+49,3, Not Graduate, No,5500000,20500000,12,634,800000,8600000,18500000,8200000, Approved
+50,1, Not Graduate, Yes,9500000,19100000,16,662,100000,10500000,37700000,11700000, Approved
+51,4, Graduate, No,7300000,25400000,16,502,500000,1800000,20500000,10500000, Rejected
+52,2, Graduate, No,8700000,24700000,10,435,6800000,3500000,21800000,11300000, Rejected
+53,5, Not Graduate, No,3800000,7600000,4,689,8700000,100000,9300000,3400000, Approved
+54,1, Not Graduate, Yes,8400000,23000000,12,657,15400000,14800000,31900000,8200000, Approved
+55,2, Graduate, Yes,5100000,19700000,20,590,7400000,9300000,19400000,3400000, Approved
+56,5, Not Graduate, No,6700000,24500000,12,818,1200000,5600000,16300000,6200000, Approved
+57,2, Not Graduate, No,4300000,10600000,18,431,2100000,1500000,9300000,5200000, Rejected
+58,5, Graduate, Yes,9300000,30500000,18,841,19300000,10300000,34600000,8700000, Approved
+59,1, Graduate, No,7400000,18400000,20,421,18500000,9100000,17500000,4100000, Rejected
+60,4, Not Graduate, Yes,5500000,18200000,16,797,-100000,4900000,18600000,4800000, Approved
+61,2, Not Graduate, No,8500000,18900000,18,478,23800000,16300000,25900000,11400000, Rejected
+62,3, Not Graduate, Yes,9600000,30500000,18,669,4700000,1900000,26500000,9300000, Approved
+63,5, Not Graduate, Yes,8800000,28900000,6,365,24400000,8600000,27400000,4700000, Rejected
+64,3, Not Graduate, Yes,3300000,7500000,20,586,1600000,5600000,10500000,2900000, Approved
+65,4, Graduate, Yes,3900000,12300000,18,784,7600000,6900000,13100000,2800000, Approved
+66,1, Graduate, No,4100000,10300000,12,364,9500000,6100000,14900000,2800000, Rejected
+67,3, Not Graduate, No,8300000,29100000,10,715,6100000,11900000,24100000,11900000, Approved
+68,0, Not Graduate, Yes,2700000,10100000,20,693,200000,1700000,5900000,1400000, Rejected
+69,4, Graduate, No,5600000,12400000,4,777,5500000,3100000,11800000,5500000, Approved
+70,0, Graduate, No,1900000,5000000,12,312,4000000,2800000,4900000,2400000, Rejected
+71,4, Not Graduate, Yes,500000,1500000,20,340,100000,200000,1900000,600000, Rejected
+72,5, Graduate, Yes,5300000,18600000,4,386,2700000,9700000,11900000,4200000, Approved
+73,5, Not Graduate, No,7000000,18300000,4,418,18400000,11700000,21500000,7600000, Rejected
+74,3, Not Graduate, Yes,5800000,16700000,16,735,3900000,9400000,12600000,5600000, Approved
+75,2, Not Graduate, No,2600000,8400000,6,494,6500000,3800000,5600000,2000000, Rejected
+76,2, Not Graduate, No,1900000,6500000,18,671,600000,2500000,4800000,1100000, Approved
+77,4, Graduate, No,5700000,14800000,16,697,14300000,7800000,12900000,6300000, Approved
+78,0, Graduate, No,9000000,33500000,8,801,11600000,8900000,35400000,11100000, Approved
+79,2, Not Graduate, No,8500000,29400000,12,576,17600000,5600000,25200000,9000000, Approved
+80,0, Not Graduate, No,700000,1400000,14,639,1900000,700000,2400000,900000, Approved
+81,4, Graduate, No,3500000,8900000,4,470,1300000,2200000,12300000,2000000, Rejected
+82,0, Not Graduate, No,8800000,31200000,4,826,2900000,500000,33300000,8600000, Approved
+83,2, Not Graduate, Yes,9900000,21200000,16,363,25500000,11400000,26600000,6800000, Rejected
+84,3, Graduate, No,3600000,8600000,20,613,9400000,300000,10300000,3300000, Approved
+85,3, Not Graduate, Yes,3000000,8200000,16,713,5300000,5800000,11000000,3400000, Approved
+86,2, Graduate, No,6800000,21200000,16,439,17100000,4700000,23300000,3600000, Rejected
+87,5, Not Graduate, Yes,1100000,3800000,18,387,1300000,1200000,3800000,1600000, Rejected
+88,1, Not Graduate, Yes,8700000,28300000,8,402,20400000,13600000,27900000,10200000, Rejected
+89,4, Graduate, Yes,2000000,8000000,6,837,5100000,2600000,3900000,2900000, Approved
+90,2, Not Graduate, No,9800000,37600000,10,641,24100000,0,23400000,7600000, Approved
+91,4, Graduate, No,5700000,21100000,18,489,500000,4300000,12500000,6000000, Rejected
+92,4, Graduate, No,8800000,20700000,18,540,19200000,3200000,22400000,12700000, Rejected
+93,4, Graduate, No,3800000,8900000,4,844,9100000,3500000,13100000,4700000, Approved
+94,1, Graduate, No,1700000,6400000,10,452,900000,1100000,5600000,2100000, Rejected
+95,2, Graduate, No,1000000,2000000,10,366,1200000,400000,3200000,1300000, Rejected
+96,5, Graduate, No,300000,1100000,2,300,100000,500000,700000,400000, Approved
+97,2, Graduate, Yes,6600000,15000000,18,470,1200000,4800000,18200000,7000000, Rejected
+98,2, Not Graduate, No,8700000,25000000,20,861,14700000,8500000,23200000,7300000, Approved
+99,4, Graduate, No,9400000,29400000,12,562,25900000,15200000,36400000,7100000, Approved
+100,0, Graduate, No,4400000,10800000,14,463,2400000,4800000,13800000,4700000, Rejected
+101,4, Not Graduate, No,400000,900000,12,478,700000,100000,1200000,100000, Rejected
+102,2, Not Graduate, Yes,300000,1100000,2,702,300000,200000,500000,200000, Approved
+103,2, Not Graduate, Yes,4300000,12900000,20,618,11400000,3600000,11400000,2400000, Approved
+104,4, Graduate, No,1600000,4500000,12,633,700000,1700000,4100000,1900000, Approved
+105,5, Not Graduate, Yes,6200000,23600000,10,331,18500000,10300000,23800000,8700000, Rejected
+106,3, Not Graduate, Yes,4200000,9700000,16,841,7800000,300000,16700000,5100000, Approved
+107,4, Not Graduate, Yes,9000000,18100000,12,764,600000,16500000,20800000,11600000, Approved
+108,0, Graduate, No,2700000,10600000,6,591,1300000,2700000,9900000,1800000, Approved
+109,1, Graduate, Yes,9700000,35900000,2,719,19600000,7600000,20400000,10900000, Approved
+110,2, Graduate, No,3300000,6800000,14,317,3400000,300000,11700000,3600000, Rejected
+111,0, Not Graduate, No,300000,1100000,8,778,800000,200000,900000,100000, Approved
+112,3, Graduate, Yes,7400000,18200000,14,302,5600000,3100000,17900000,5000000, Rejected
+113,5, Not Graduate, No,7100000,19700000,8,502,7300000,5600000,25300000,9800000, Rejected
+114,5, Not Graduate, Yes,7300000,22100000,18,879,19500000,10600000,19300000,9800000, Approved
+115,1, Not Graduate, No,8400000,23400000,14,437,15400000,5800000,33400000,8100000, Rejected
+116,0, Not Graduate, Yes,3300000,10800000,12,797,600000,6000000,7700000,3300000, Approved
+117,4, Not Graduate, Yes,5800000,23200000,18,456,16100000,4200000,22600000,7500000, Rejected
+118,0, Not Graduate, No,600000,1600000,6,647,1500000,600000,1500000,700000, Approved
+119,0, Not Graduate, No,7200000,15800000,12,379,12700000,12200000,21500000,3600000, Rejected
+120,1, Not Graduate, Yes,9100000,32900000,2,717,2200000,2000000,23600000,5900000, Approved
+121,5, Graduate, No,900000,2300000,16,545,100000,200000,2700000,800000, Rejected
+122,2, Graduate, No,800000,3200000,8,317,300000,1000000,2000000,900000, Rejected
+123,1, Not Graduate, No,8500000,32900000,10,570,5100000,6200000,20500000,5500000, Approved
+124,0, Not Graduate, Yes,9000000,18700000,18,865,26800000,0,20900000,11300000, Approved
+125,3, Graduate, No,7000000,19500000,14,719,12200000,10300000,18200000,10200000, Approved
+126,3, Graduate, No,200000,600000,16,821,400000,100000,500000,100000, Approved
+127,4, Not Graduate, Yes,400000,800000,10,859,900000,500000,800000,200000, Approved
+128,3, Not Graduate, No,5100000,18200000,10,395,100000,8000000,15500000,6300000, Rejected
+129,2, Not Graduate, Yes,700000,2600000,12,429,1600000,1300000,2700000,800000, Rejected
+130,3, Graduate, No,400000,1200000,12,861,200000,600000,1100000,200000, Approved
+131,0, Not Graduate, Yes,9500000,20800000,14,565,15100000,11900000,33900000,13400000, Approved
+132,5, Graduate, No,8800000,22600000,10,357,7900000,8600000,18200000,4900000, Rejected
+133,3, Not Graduate, Yes,1800000,3600000,18,465,600000,500000,5400000,2600000, Rejected
+134,4, Not Graduate, Yes,6800000,13900000,8,479,11700000,9100000,25700000,9600000, Rejected
+135,3, Not Graduate, No,1500000,5500000,16,717,2100000,800000,4400000,1300000, Approved
+136,3, Graduate, No,1600000,5500000,12,425,600000,800000,5400000,900000, Rejected
+137,2, Not Graduate, No,4600000,16700000,2,786,200000,5900000,13900000,6100000, Approved
+138,5, Not Graduate, Yes,2200000,6700000,6,382,4400000,1300000,8600000,1100000, Rejected
+139,3, Not Graduate, Yes,2900000,8500000,12,564,1000000,3100000,7500000,1800000, Approved
+140,0, Graduate, No,200000,700000,8,501,500000,200000,700000,100000, Rejected
+141,2, Not Graduate, Yes,2500000,9400000,10,727,6600000,4100000,9500000,3300000, Approved
+142,4, Not Graduate, No,3600000,7500000,6,894,1100000,6500000,7400000,2800000, Approved
+143,0, Graduate, Yes,5500000,16700000,18,829,5500000,1300000,12800000,5900000, Approved
+144,4, Not Graduate, No,6600000,17400000,20,506,2600000,10000000,25900000,7200000, Rejected
+145,2, Graduate, Yes,8600000,32100000,6,802,9400000,16700000,24500000,9800000, Approved
+146,5, Not Graduate, No,600000,1500000,14,543,300000,900000,2100000,300000, Rejected
+147,3, Graduate, Yes,1400000,3200000,20,772,2400000,900000,5100000,1600000, Approved
+148,3, Graduate, No,4000000,11100000,12,572,9700000,100000,12500000,2400000, Approved
+149,0, Not Graduate, Yes,4900000,11900000,16,709,14600000,900000,18500000,3800000, Approved
+150,5, Graduate, No,2000000,6200000,18,402,4000000,2100000,7200000,1100000, Rejected
+151,1, Not Graduate, Yes,5200000,19300000,8,481,14300000,9500000,18800000,4200000, Rejected
+152,5, Graduate, Yes,8900000,28800000,6,772,13600000,5500000,20400000,8400000, Approved
+153,1, Graduate, Yes,6500000,20600000,2,306,15900000,1900000,18100000,3200000, Approved
+154,2, Not Graduate, No,1300000,4500000,6,415,0,900000,2900000,1200000, Rejected
+155,3, Not Graduate, No,9400000,35000000,16,548,18200000,4400000,36100000,4800000, Rejected
+156,5, Not Graduate, No,5000000,11200000,8,701,9100000,500000,14000000,4600000, Approved
+157,2, Graduate, No,3000000,7700000,12,890,4700000,4300000,8400000,2100000, Approved
+158,5, Not Graduate, Yes,9900000,33300000,6,364,5300000,18700000,27800000,8300000, Rejected
+159,5, Graduate, Yes,700000,1300000,20,704,1600000,0,2200000,600000, Approved
+160,3, Graduate, Yes,4000000,10600000,10,318,1500000,5100000,8000000,4900000, Rejected
+161,5, Not Graduate, No,3100000,9600000,2,761,5800000,1800000,10400000,4200000, Approved
+162,4, Not Graduate, No,4500000,15100000,6,693,3700000,1500000,17800000,6000000, Approved
+163,3, Not Graduate, No,9700000,20600000,16,524,24200000,11100000,27400000,6100000, Rejected
+164,2, Not Graduate, Yes,2000000,5300000,10,681,4900000,1400000,4300000,2900000, Approved
+165,2, Graduate, Yes,8100000,22300000,18,737,22300000,12600000,27000000,7300000, Approved
+166,0, Not Graduate, No,5700000,15900000,16,638,100000,9500000,16300000,4500000, Approved
+167,4, Not Graduate, No,5800000,12800000,2,656,500000,5000000,16000000,2800000, Approved
+168,1, Graduate, No,1800000,6500000,6,540,2500000,3200000,5000000,1100000, Rejected
+169,4, Not Graduate, Yes,9100000,35200000,6,341,1000000,300000,23100000,8200000, Rejected
+170,0, Not Graduate, Yes,4800000,17500000,2,371,11700000,6800000,18700000,3500000, Approved
+171,3, Not Graduate, Yes,3800000,10500000,12,886,4000000,500000,14900000,2300000, Approved
+172,0, Not Graduate, No,1900000,4100000,18,801,400000,800000,4800000,1200000, Approved
+173,3, Not Graduate, Yes,3600000,9500000,16,748,7700000,2400000,9700000,2600000, Approved
+174,2, Not Graduate, Yes,7400000,28200000,8,376,21900000,5000000,17400000,5200000, Rejected
+175,4, Not Graduate, Yes,6600000,14300000,8,371,10800000,9500000,18500000,7400000, Rejected
+176,2, Graduate, No,1800000,5300000,6,826,4500000,700000,6500000,1300000, Approved
+177,4, Not Graduate, No,9200000,27200000,12,873,4500000,1800000,33800000,11400000, Approved
+178,5, Not Graduate, Yes,2400000,8600000,8,309,500000,600000,5700000,2800000, Rejected
+179,4, Not Graduate, No,5600000,13300000,20,869,3300000,7500000,20000000,6500000, Approved
+180,5, Graduate, No,3800000,13900000,12,534,4700000,2900000,8200000,2800000, Rejected
+181,3, Not Graduate, Yes,4500000,17900000,6,787,9800000,3600000,14300000,4200000, Approved
+182,0, Graduate, Yes,900000,2200000,16,566,100000,700000,2000000,600000, Approved
+183,0, Not Graduate, No,2800000,9900000,8,742,4900000,1300000,6700000,1700000, Approved
+184,2, Not Graduate, No,7500000,23100000,4,824,12100000,10900000,26300000,9500000, Approved
+185,4, Graduate, No,1400000,3100000,14,575,3000000,2100000,4900000,1400000, Approved
+186,2, Graduate, Yes,3800000,10900000,10,766,1900000,3900000,8600000,3000000, Approved
+187,1, Not Graduate, Yes,1700000,5000000,10,888,2900000,900000,4100000,2200000, Approved
+188,3, Graduate, Yes,9000000,30400000,6,638,16800000,11000000,26900000,9200000, Approved
+189,5, Not Graduate, Yes,7300000,23300000,6,622,7100000,11600000,26400000,10500000, Approved
+190,1, Not Graduate, No,7400000,19800000,18,458,12600000,6200000,27700000,4000000, Rejected
+191,1, Not Graduate, No,9000000,28200000,16,327,1700000,2300000,24000000,11200000, Rejected
+192,0, Not Graduate, No,3000000,6500000,2,612,8800000,3400000,6700000,1700000, Approved
+193,1, Graduate, No,800000,2900000,8,682,2200000,1100000,2900000,700000, Approved
+194,2, Graduate, No,4800000,13200000,2,583,13700000,5800000,9500000,5200000, Approved
+195,5, Not Graduate, No,6400000,18300000,8,697,10000000,3600000,22500000,3600000, Approved
+196,3, Graduate, No,9200000,27100000,12,306,5800000,11500000,28000000,9600000, Rejected
+197,4, Not Graduate, Yes,400000,1500000,2,669,-100000,600000,900000,500000, Approved
+198,2, Not Graduate, No,2800000,6000000,18,816,6300000,4200000,8000000,3400000, Approved
+199,4, Not Graduate, Yes,8500000,28900000,20,455,15200000,5800000,22500000,9400000, Rejected
+200,3, Graduate, Yes,4700000,16400000,10,318,11400000,8100000,16200000,4300000, Rejected
+201,4, Not Graduate, Yes,9800000,21200000,20,355,22000000,8900000,31800000,14400000, Rejected
+202,2, Not Graduate, Yes,3800000,8900000,16,389,200000,5600000,12200000,2200000, Rejected
+203,2, Graduate, No,500000,1500000,2,888,1500000,300000,1500000,600000, Approved
+204,2, Graduate, Yes,6900000,15600000,6,352,13000000,5300000,22600000,10000000, Rejected
+205,4, Not Graduate, Yes,9600000,30100000,12,870,300000,6700000,38200000,5600000, Approved
+206,3, Not Graduate, No,2900000,6500000,18,827,8300000,600000,10400000,3200000, Approved
+207,2, Graduate, No,9800000,20900000,12,768,3400000,10200000,38600000,13400000, Approved
+208,0, Graduate, No,7100000,15400000,18,707,10300000,10800000,19600000,5800000, Approved
+209,1, Not Graduate, Yes,7700000,19100000,10,355,11300000,4900000,21900000,6600000, Rejected
+210,3, Graduate, No,1400000,3300000,2,652,100000,2100000,3500000,1900000, Approved
+211,3, Graduate, No,7800000,15900000,2,665,14400000,900000,27200000,5400000, Approved
+212,5, Not Graduate, Yes,1700000,6000000,18,420,500000,1600000,3700000,2300000, Rejected
+213,2, Not Graduate, No,8500000,32700000,18,471,12600000,9400000,33900000,12500000, Rejected
+214,5, Not Graduate, No,1900000,7500000,20,715,5100000,2800000,6500000,2800000, Approved
+215,2, Not Graduate, Yes,6700000,15200000,10,689,0,8200000,15000000,6800000, Approved
+216,3, Graduate, Yes,6900000,16400000,4,787,11100000,6100000,26400000,3800000, Approved
+217,2, Graduate, No,2600000,7800000,4,819,3100000,4300000,5700000,1500000, Approved
+218,4, Graduate, Yes,9600000,21100000,6,809,16100000,9500000,34700000,8700000, Approved
+219,1, Not Graduate, Yes,6800000,17000000,2,744,15500000,3900000,23700000,3500000, Approved
+220,0, Not Graduate, No,3200000,11300000,6,484,3500000,5500000,8500000,2100000, Rejected
+221,4, Not Graduate, No,2900000,10400000,6,673,5100000,1700000,10600000,1700000, Approved
+222,3, Graduate, Yes,7900000,21200000,18,695,13800000,10600000,21800000,4900000, Approved
+223,4, Not Graduate, Yes,3900000,12400000,12,473,6400000,4700000,13100000,3800000, Rejected
+224,4, Graduate, Yes,4600000,11000000,2,491,9000000,4000000,16100000,3500000, Rejected
+225,3, Not Graduate, Yes,700000,1700000,8,733,1200000,800000,2400000,500000, Approved
+226,0, Not Graduate, No,5200000,15600000,20,434,14100000,5800000,18100000,5500000, Rejected
+227,3, Not Graduate, Yes,5900000,20600000,10,777,1900000,4600000,21200000,6400000, Approved
+228,4, Graduate, No,7200000,19100000,4,774,9400000,7000000,17900000,3600000, Approved
+229,1, Not Graduate, Yes,8700000,27000000,10,717,25500000,8600000,17500000,9100000, Approved
+230,3, Not Graduate, Yes,1100000,3500000,12,503,3000000,400000,2200000,1200000, Rejected
+231,1, Graduate, Yes,4000000,10900000,14,598,3600000,6600000,13600000,4400000, Approved
+232,2, Graduate, No,9800000,32400000,2,543,24200000,17500000,25700000,7700000, Approved
+233,0, Not Graduate, Yes,2700000,6800000,20,796,700000,4200000,7000000,1900000, Approved
+234,3, Not Graduate, Yes,8800000,34600000,8,386,14800000,16500000,18400000,6000000, Rejected
+235,5, Not Graduate, Yes,3300000,7800000,16,632,8500000,500000,7100000,4900000, Approved
+236,1, Graduate, Yes,6900000,23400000,4,481,18700000,1100000,23400000,10200000, Approved
+237,3, Graduate, Yes,900000,3500000,4,770,700000,0,2000000,600000, Rejected
+238,3, Graduate, Yes,4100000,15500000,6,667,2800000,1600000,14700000,4000000, Approved
+239,3, Not Graduate, Yes,4700000,17500000,8,585,1200000,3100000,9600000,4900000, Approved
+240,5, Graduate, Yes,3400000,11600000,16,479,9200000,5700000,11200000,2400000, Rejected
+241,2, Graduate, No,9600000,22500000,18,851,7400000,16200000,24300000,12700000, Approved
+242,3, Not Graduate, Yes,7000000,16200000,6,378,20000000,12600000,20300000,5500000, Rejected
+243,5, Graduate, No,5700000,12900000,18,807,4100000,900000,18600000,5500000, Approved
+244,1, Not Graduate, Yes,8200000,32400000,18,831,22800000,12300000,17700000,7800000, Approved
+245,2, Not Graduate, No,2100000,5100000,12,674,2200000,3200000,6400000,2400000, Approved
+246,1, Not Graduate, Yes,8000000,28100000,18,725,1900000,12800000,23000000,7500000, Approved
+247,2, Not Graduate, No,8000000,29300000,4,600,16500000,13200000,29400000,6500000, Approved
+248,0, Not Graduate, Yes,9400000,27000000,10,536,4400000,1700000,33800000,4800000, Rejected
+249,0, Graduate, No,8400000,20600000,10,477,1500000,1500000,25000000,11900000, Rejected
+250,1, Not Graduate, Yes,1900000,5000000,6,560,1000000,1900000,6300000,1400000, Approved
+251,0, Not Graduate, Yes,4200000,16400000,20,539,9500000,2100000,11400000,3100000, Rejected
+252,5, Graduate, No,2600000,9100000,8,852,3700000,700000,10300000,3300000, Approved
+253,3, Not Graduate, No,3700000,8500000,20,853,8300000,5700000,7500000,4900000, Approved
+254,0, Graduate, No,8800000,30900000,12,729,1700000,700000,25700000,11400000, Approved
+255,2, Not Graduate, No,2100000,4700000,2,546,6000000,3200000,5700000,1500000, Rejected
+256,3, Graduate, Yes,900000,2400000,10,489,800000,0,2800000,500000, Rejected
+257,3, Graduate, Yes,9800000,35400000,6,869,14400000,16400000,22800000,10300000, Approved
+258,2, Not Graduate, No,8000000,20000000,2,502,4100000,2200000,31600000,9900000, Rejected
+259,0, Graduate, No,9800000,38800000,8,652,23200000,19000000,29700000,5400000, Approved
+260,0, Not Graduate, Yes,300000,1100000,8,789,400000,100000,800000,400000, Approved
+261,4, Not Graduate, No,2700000,8100000,4,325,5000000,800000,9900000,3400000, Approved
+262,3, Graduate, Yes,7400000,19600000,2,716,4100000,8900000,29100000,4200000, Approved
+263,3, Graduate, No,9200000,34300000,18,523,25600000,4000000,29100000,8800000, Rejected
+264,5, Not Graduate, No,9500000,22200000,20,352,24500000,0,30800000,7000000, Rejected
+265,5, Graduate, Yes,3800000,14400000,2,345,3300000,800000,13000000,4700000, Approved
+266,0, Graduate, No,8300000,19400000,18,649,2500000,16100000,24300000,11300000, Approved
+267,2, Graduate, Yes,2800000,7400000,18,666,100000,2300000,6300000,3400000, Approved
+268,0, Graduate, No,8600000,20900000,10,813,11300000,11900000,26000000,4800000, Approved
+269,0, Not Graduate, No,5400000,16800000,10,599,5300000,7400000,14500000,7600000, Approved
+270,5, Graduate, Yes,4200000,9400000,6,678,4700000,5500000,9900000,5700000, Approved
+271,5, Not Graduate, No,5200000,12200000,20,513,13400000,2000000,16800000,5400000, Rejected
+272,5, Graduate, No,9400000,27900000,4,870,1100000,200000,29500000,10400000, Approved
+273,3, Graduate, No,8800000,20400000,8,483,3200000,11400000,28200000,11800000, Rejected
+274,1, Graduate, Yes,5900000,16700000,16,308,5800000,8800000,19100000,5300000, Rejected
+275,3, Graduate, Yes,1700000,4900000,16,591,4700000,1000000,4300000,1400000, Approved
+276,1, Not Graduate, No,7000000,23000000,10,886,14000000,3700000,26700000,3600000, Approved
+277,4, Not Graduate, No,1700000,4000000,6,829,0,1600000,5200000,1700000, Approved
+278,0, Not Graduate, No,1500000,4900000,12,651,1600000,2800000,4600000,800000, Approved
+279,4, Not Graduate, No,2000000,4700000,18,733,3700000,3700000,7000000,2800000, Approved
+280,5, Graduate, Yes,3900000,15500000,12,433,9500000,5400000,7900000,4600000, Rejected
+281,1, Graduate, Yes,900000,3600000,14,713,1300000,1000000,1800000,1200000, Approved
+282,1, Graduate, No,6900000,22500000,18,403,800000,8400000,16900000,6300000, Rejected
+283,0, Graduate, Yes,2800000,7800000,10,405,7800000,2500000,7100000,3400000, Rejected
+284,3, Graduate, Yes,6800000,19900000,10,516,16000000,6000000,26000000,8500000, Rejected
+285,4, Not Graduate, Yes,600000,1800000,8,417,1700000,700000,1800000,800000, Rejected
+286,1, Not Graduate, No,4700000,14000000,6,468,11300000,1800000,10600000,4600000, Rejected
+287,5, Graduate, Yes,3000000,11800000,10,672,8700000,3600000,9800000,4100000, Approved
+288,5, Not Graduate, No,4000000,13900000,6,530,6000000,5600000,12500000,6000000, Rejected
+289,1, Not Graduate, Yes,3100000,11300000,14,824,3700000,6000000,11000000,4400000, Approved
+290,1, Not Graduate, Yes,7700000,25500000,12,549,18100000,10600000,20500000,7000000, Rejected
+291,5, Not Graduate, Yes,4300000,9300000,10,450,2100000,6700000,10000000,4100000, Rejected
+292,1, Graduate, Yes,5800000,19500000,20,431,13800000,5000000,15600000,3300000, Rejected
+293,3, Graduate, Yes,3600000,10700000,16,312,2300000,1600000,13100000,5200000, Rejected
+294,0, Not Graduate, Yes,2900000,7600000,8,320,8000000,5600000,9600000,3100000, Rejected
+295,0, Graduate, No,8800000,20200000,4,433,16000000,4200000,30500000,12400000, Rejected
+296,1, Not Graduate, Yes,300000,1000000,10,431,400000,500000,900000,100000, Rejected
+297,5, Not Graduate, Yes,8600000,28900000,8,516,9900000,1800000,30200000,6800000, Rejected
+298,2, Not Graduate, Yes,3500000,12000000,14,476,1100000,6800000,12400000,2900000, Rejected
+299,5, Graduate, No,800000,2600000,6,560,100000,200000,3000000,1000000, Approved
+300,2, Graduate, No,8000000,27100000,12,674,14400000,400000,25300000,6400000, Approved
+301,0, Not Graduate, Yes,9900000,38200000,6,573,17200000,10000000,20100000,5900000, Approved
+302,2, Not Graduate, No,3300000,6600000,6,331,6300000,2000000,8900000,2700000, Rejected
+303,4, Graduate, Yes,2000000,6700000,12,633,100000,800000,4800000,2000000, Approved
+304,3, Not Graduate, No,4900000,12900000,18,877,1800000,7000000,17900000,3300000, Approved
+305,5, Not Graduate, Yes,9200000,23600000,12,656,1400000,11200000,36400000,4900000, Approved
+306,0, Not Graduate, No,7500000,18200000,6,782,7400000,12000000,19800000,4100000, Approved
+307,5, Not Graduate, No,9000000,29300000,4,531,10400000,9500000,35500000,5800000, Approved
+308,3, Not Graduate, No,1400000,4100000,8,455,3000000,1400000,2900000,2100000, Rejected
+309,3, Graduate, No,9600000,19900000,14,452,4200000,16200000,28500000,6600000, Rejected
+310,2, Graduate, No,8400000,33200000,14,474,19600000,15000000,25400000,11500000, Rejected
+311,3, Not Graduate, No,6400000,24400000,4,483,7800000,2400000,19100000,4500000, Approved
+312,4, Graduate, No,5900000,16800000,8,481,6900000,11400000,19500000,3300000, Rejected
+313,2, Graduate, Yes,2200000,5100000,20,859,3800000,1200000,6400000,3100000, Approved
+314,4, Graduate, Yes,5600000,14100000,14,696,9000000,9200000,16500000,6800000, Approved
+315,4, Not Graduate, No,9800000,28700000,6,778,16600000,7400000,29700000,11100000, Approved
+316,4, Graduate, No,4400000,14600000,4,499,1300000,6500000,16100000,5700000, Approved
+317,2, Not Graduate, Yes,2400000,4900000,4,888,6400000,4300000,5100000,3400000, Approved
+318,1, Graduate, No,4400000,10800000,12,674,9600000,2700000,17200000,5300000, Approved
+319,4, Graduate, No,3700000,13200000,4,802,9800000,2400000,12500000,4300000, Approved
+320,4, Not Graduate, Yes,2300000,7800000,8,540,1500000,3400000,4700000,2800000, Rejected
+321,4, Graduate, Yes,5900000,19600000,8,726,17400000,6800000,20100000,8000000, Approved
+322,4, Not Graduate, Yes,6400000,23500000,2,485,7300000,2700000,23600000,3900000, Approved
+323,4, Graduate, Yes,4900000,17100000,6,612,1300000,7000000,19500000,5000000, Approved
+324,3, Not Graduate, Yes,9500000,24200000,8,879,3100000,17200000,26400000,12700000, Approved
+325,2, Not Graduate, No,5700000,16400000,12,708,3700000,800000,15000000,4400000, Approved
+326,2, Not Graduate, Yes,2700000,5700000,8,850,3500000,5000000,10500000,3900000, Approved
+327,2, Not Graduate, Yes,3900000,11300000,12,516,3100000,0,10400000,4600000, Rejected
+328,0, Not Graduate, No,7800000,28800000,12,465,4700000,7500000,28800000,7400000, Rejected
+329,0, Graduate, No,1100000,3200000,20,716,1800000,1400000,3600000,1500000, Approved
+330,4, Not Graduate, No,200000,600000,10,404,0,100000,400000,0, Rejected
+331,0, Not Graduate, Yes,4700000,10600000,20,512,8400000,4000000,12300000,7000000, Rejected
+332,3, Not Graduate, Yes,8200000,20600000,10,441,16100000,11400000,29100000,6100000, Rejected
+333,2, Not Graduate, Yes,4600000,18400000,2,555,7700000,2400000,14200000,4200000, Approved
+334,5, Not Graduate, No,1800000,7000000,18,466,2600000,2100000,6000000,1900000, Rejected
+335,3, Graduate, Yes,3200000,8600000,2,427,3900000,1800000,7100000,4700000, Rejected
+336,4, Not Graduate, Yes,5500000,20000000,14,593,15100000,2700000,19900000,4900000, Approved
+337,3, Graduate, No,7900000,18300000,10,731,4200000,3400000,22200000,8400000, Approved
+338,1, Graduate, Yes,4000000,10100000,16,451,7000000,3900000,14300000,3900000, Rejected
+339,3, Not Graduate, Yes,6800000,16900000,18,628,3600000,900000,15600000,4900000, Approved
+340,1, Not Graduate, No,2700000,9400000,18,704,5300000,2300000,6400000,2400000, Approved
+341,2, Not Graduate, No,6800000,23500000,12,341,19300000,11800000,14300000,8500000, Rejected
+342,5, Graduate, No,8600000,21000000,8,465,11700000,14900000,19500000,9900000, Rejected
+343,4, Graduate, No,8000000,30100000,4,431,11900000,13800000,18800000,11500000, Approved
+344,1, Graduate, Yes,3700000,12600000,10,424,5400000,1100000,14200000,4400000, Rejected
+345,0, Graduate, No,2600000,5100000,14,678,500000,1200000,6000000,3100000, Approved
+346,4, Graduate, No,4200000,16800000,6,381,9600000,3800000,14800000,5900000, Rejected
+347,5, Graduate, Yes,8000000,28000000,10,449,18500000,1500000,17400000,3900000, Rejected
+348,1, Not Graduate, No,7100000,23500000,12,768,6400000,12100000,22400000,7300000, Approved
+349,0, Not Graduate, No,2000000,7000000,6,666,0,1200000,4300000,1400000, Rejected
+350,4, Not Graduate, Yes,5800000,13300000,14,742,16100000,9300000,16300000,7000000, Approved
+351,3, Not Graduate, Yes,6700000,15800000,4,445,10500000,7600000,14100000,9100000, Rejected
+352,2, Graduate, No,7300000,28700000,14,634,5900000,3800000,21200000,10800000, Approved
+353,4, Not Graduate, No,3300000,9700000,14,782,2500000,0,10400000,2200000, Approved
+354,0, Graduate, No,3000000,7000000,10,781,7200000,600000,11700000,2700000, Approved
+355,4, Not Graduate, No,7900000,17200000,14,318,14200000,9500000,23200000,9000000, Rejected
+356,5, Not Graduate, No,7600000,24100000,18,721,21900000,11500000,22900000,7200000, Approved
+357,5, Not Graduate, No,3700000,9800000,4,563,9500000,5100000,11200000,3000000, Approved
+358,2, Not Graduate, No,8400000,26300000,4,419,22900000,7900000,29200000,6200000, Approved
+359,0, Graduate, Yes,8200000,20800000,14,372,3800000,100000,26100000,5200000, Rejected
+360,0, Not Graduate, No,2900000,9500000,18,885,4300000,2300000,6500000,3500000, Approved
+361,1, Not Graduate, Yes,9900000,38400000,12,596,10000000,9300000,36500000,6800000, Approved
+362,0, Graduate, No,4400000,14100000,2,349,3300000,1300000,8800000,6200000, Approved
+363,1, Not Graduate, Yes,9000000,32200000,16,468,4500000,16400000,28600000,10900000, Rejected
+364,3, Not Graduate, Yes,6800000,26900000,16,818,14700000,10400000,26300000,7300000, Approved
+365,2, Not Graduate, No,8700000,28000000,12,543,16900000,6000000,22900000,6700000, Rejected
+366,3, Graduate, No,9400000,21900000,16,685,8100000,5600000,34500000,5000000, Approved
+367,3, Not Graduate, Yes,6000000,12500000,18,851,14600000,5000000,16800000,5000000, Approved
+368,1, Not Graduate, Yes,9400000,29800000,10,377,24100000,18500000,30900000,11700000, Rejected
+369,0, Not Graduate, Yes,1000000,4000000,10,620,2400000,1300000,3700000,1100000, Approved
+370,3, Graduate, Yes,900000,2300000,20,611,600000,1500000,1900000,500000, Approved
+371,4, Not Graduate, No,2100000,7700000,4,767,1200000,1700000,6900000,1300000, Approved
+372,5, Graduate, Yes,1100000,3200000,20,592,3200000,700000,3500000,500000, Approved
+373,0, Graduate, Yes,600000,2300000,4,319,1600000,800000,2300000,700000, Approved
+374,4, Not Graduate, Yes,9200000,25500000,10,900,9400000,10500000,27400000,12800000, Approved
+375,2, Not Graduate, Yes,3600000,12800000,18,814,8600000,4100000,10300000,4100000, Approved
+376,5, Not Graduate, Yes,1300000,5000000,10,755,2100000,2200000,4800000,1900000, Approved
+377,5, Graduate, Yes,7700000,16800000,20,584,8600000,4800000,23400000,8000000, Approved
+378,4, Graduate, Yes,9500000,23500000,14,380,22900000,6700000,25100000,7300000, Rejected
+379,2, Not Graduate, Yes,5000000,17600000,20,465,6200000,5200000,16500000,5200000, Rejected
+380,0, Not Graduate, No,500000,1800000,2,531,1300000,500000,1900000,700000, Approved
+381,1, Graduate, Yes,8300000,32100000,16,814,18500000,2700000,28900000,7500000, Approved
+382,0, Graduate, No,5300000,17900000,6,678,4700000,3900000,14400000,3600000, Approved
+383,2, Not Graduate, Yes,9300000,29000000,12,655,7900000,6800000,29900000,4900000, Approved
+384,3, Not Graduate, No,2300000,7400000,2,682,6500000,2400000,7600000,2100000, Approved
+385,1, Not Graduate, No,400000,1300000,6,695,200000,500000,800000,100000, Approved
+386,3, Not Graduate, No,3200000,10800000,4,833,2600000,1000000,8700000,2600000, Approved
+387,5, Not Graduate, Yes,9400000,35300000,16,302,4100000,12500000,37000000,12900000, Rejected
+388,1, Graduate, No,2300000,6600000,2,357,5900000,200000,6000000,2200000, Rejected
+389,5, Not Graduate, No,4300000,14500000,12,302,12500000,4300000,12500000,5100000, Rejected
+390,0, Graduate, Yes,6200000,22400000,18,873,15700000,6600000,15800000,8200000, Approved
+391,0, Not Graduate, Yes,7200000,19800000,12,658,12700000,8100000,25000000,7300000, Approved
+392,5, Graduate, Yes,2400000,8700000,18,877,2800000,2900000,7100000,1100000, Approved
+393,3, Not Graduate, No,2900000,6300000,8,648,3400000,3400000,7600000,1400000, Approved
+394,1, Graduate, No,1400000,5200000,12,730,2900000,0,3700000,700000, Approved
+395,4, Not Graduate, Yes,2200000,8200000,14,737,5800000,2800000,8200000,1400000, Approved
+396,2, Graduate, Yes,800000,3200000,10,584,0,200000,2100000,700000, Rejected
+397,0, Graduate, No,600000,1700000,2,621,400000,400000,2000000,200000, Approved
+398,4, Graduate, Yes,700000,2700000,16,583,1100000,1200000,1400000,300000, Approved
+399,2, Not Graduate, No,8400000,25900000,16,621,8600000,13400000,33500000,4200000, Approved
+400,2, Not Graduate, No,7100000,21500000,16,610,5800000,12100000,14200000,9300000, Approved
+401,4, Graduate, No,5400000,15700000,18,452,13700000,2600000,16500000,6600000, Rejected
+402,5, Graduate, No,3700000,7300000,18,339,9300000,100000,13900000,5300000, Rejected
+403,3, Graduate, Yes,5200000,15200000,16,650,1300000,5700000,13500000,4100000, Approved
+404,4, Not Graduate, Yes,200000,700000,10,672,200000,200000,300000,300000, Approved
+405,3, Graduate, No,500000,1000000,20,501,800000,800000,900000,200000, Rejected
+406,2, Not Graduate, Yes,1800000,5700000,4,809,1200000,1900000,6300000,2400000, Approved
+407,5, Graduate, Yes,9200000,29400000,8,318,18000000,5900000,33800000,5400000, Rejected
+408,4, Not Graduate, No,900000,3300000,10,649,0,400000,1800000,1200000, Approved
+409,3, Not Graduate, No,7500000,28300000,12,367,9200000,11300000,22700000,7000000, Rejected
+410,5, Not Graduate, No,3000000,11800000,6,847,8200000,2200000,7100000,2300000, Approved
+411,5, Graduate, No,7100000,18900000,12,360,10700000,1100000,19800000,8500000, Rejected
+412,1, Graduate, Yes,3500000,7200000,2,865,4100000,3200000,11900000,4200000, Approved
+413,4, Not Graduate, No,4900000,18800000,16,880,4200000,4700000,13200000,2600000, Approved
+414,1, Graduate, No,4100000,8400000,20,608,1400000,8000000,10000000,4400000, Approved
+415,0, Graduate, Yes,800000,2100000,6,760,300000,100000,1600000,600000, Approved
+416,3, Graduate, Yes,1700000,4600000,12,385,1500000,1300000,5200000,1700000, Rejected
+417,0, Graduate, Yes,6100000,23300000,12,478,3800000,2300000,17700000,4900000, Rejected
+418,1, Graduate, Yes,2100000,7700000,16,327,5000000,500000,4700000,2300000, Rejected
+419,0, Graduate, No,3100000,9300000,6,663,1300000,1400000,8100000,3800000, Approved
+420,2, Not Graduate, Yes,1700000,3500000,20,693,2200000,1400000,4800000,1700000, Approved
+421,3, Graduate, No,1700000,5400000,6,710,4800000,700000,5800000,1700000, Approved
+422,4, Not Graduate, Yes,4000000,14500000,6,711,2400000,5700000,10900000,4100000, Approved
+423,5, Graduate, No,5600000,18400000,8,386,11300000,6700000,11300000,5600000, Rejected
+424,4, Graduate, Yes,3900000,11900000,10,855,10200000,4000000,10200000,2800000, Approved
+425,4, Graduate, Yes,6100000,15300000,14,573,1100000,9900000,13300000,8400000, Approved
+426,0, Graduate, Yes,1100000,2800000,18,431,500000,300000,4300000,1400000, Rejected
+427,2, Graduate, No,5500000,14800000,8,364,13000000,4500000,12600000,4500000, Rejected
+428,4, Graduate, Yes,1100000,3600000,14,711,2500000,500000,3600000,600000, Approved
+429,4, Not Graduate, Yes,400000,900000,20,771,1000000,500000,1600000,500000, Approved
+430,3, Graduate, No,9200000,36400000,18,669,3100000,12700000,30900000,12300000, Approved
+431,4, Not Graduate, Yes,9300000,27500000,18,338,21500000,500000,34900000,6600000, Rejected
+432,1, Graduate, No,1100000,3500000,8,562,2300000,1200000,3200000,500000, Approved
+433,3, Not Graduate, No,5600000,18700000,2,769,8000000,8200000,17300000,4800000, Approved
+434,0, Graduate, Yes,6300000,21500000,8,629,600000,3400000,22000000,5200000, Approved
+435,3, Graduate, No,8800000,18100000,6,699,6400000,2100000,18500000,9400000, Approved
+436,0, Not Graduate, No,8400000,20800000,20,590,5100000,8900000,32100000,10800000, Approved
+437,3, Graduate, Yes,1600000,5700000,4,707,3300000,2700000,6200000,2300000, Approved
+438,3, Not Graduate, Yes,4500000,11400000,8,391,8500000,6800000,9900000,4500000, Rejected
+439,5, Not Graduate, No,6500000,18500000,4,891,13600000,3300000,23600000,7100000, Approved
+440,3, Graduate, Yes,9500000,20600000,2,731,13400000,3800000,20700000,9200000, Approved
+441,3, Not Graduate, No,4700000,16700000,12,775,4000000,1700000,17300000,3500000, Approved
+442,5, Graduate, Yes,9600000,32400000,2,897,3500000,15400000,26800000,6200000, Approved
+443,5, Graduate, No,8000000,26700000,20,794,8000000,14700000,29900000,7800000, Approved
+444,2, Graduate, No,7700000,16700000,6,555,12900000,2900000,18100000,8500000, Approved
+445,1, Not Graduate, Yes,3600000,10300000,12,536,6800000,500000,12200000,2700000, Rejected
+446,2, Not Graduate, No,700000,1700000,10,839,100000,700000,2000000,900000, Approved
+447,0, Graduate, Yes,1400000,5100000,6,890,4100000,1900000,5200000,1900000, Approved
+448,1, Graduate, Yes,8600000,27900000,20,415,12200000,14800000,27100000,7900000, Rejected
+449,4, Graduate, No,4700000,15700000,4,868,3300000,2500000,13800000,4800000, Approved
+450,3, Graduate, Yes,2900000,5800000,12,353,8400000,2600000,10100000,3100000, Rejected
+451,4, Not Graduate, No,9000000,29000000,16,590,4600000,15600000,29200000,12300000, Approved
+452,5, Graduate, Yes,500000,900000,18,618,1400000,600000,1200000,400000, Approved
+453,2, Not Graduate, Yes,700000,1700000,10,539,1400000,1000000,1900000,900000, Rejected
+454,0, Graduate, No,6800000,27000000,4,429,17100000,7600000,21400000,9400000, Approved
+455,2, Graduate, No,1800000,4700000,8,792,4500000,1200000,4100000,2200000, Approved
+456,0, Not Graduate, No,6000000,12400000,2,608,3000000,2100000,17900000,6800000, Approved
+457,4, Graduate, Yes,5400000,21500000,14,555,4300000,1500000,14300000,7500000, Approved
+458,5, Graduate, Yes,8400000,17500000,12,620,15300000,13600000,26000000,5800000, Approved
+459,0, Graduate, No,7400000,20900000,6,635,15600000,14000000,21000000,7200000, Approved
+460,2, Graduate, No,3200000,12500000,10,457,6100000,2000000,8200000,4300000, Rejected
+461,1, Graduate, Yes,5400000,21400000,8,350,2600000,1000000,19700000,6800000, Rejected
+462,5, Graduate, Yes,1000000,2500000,14,885,2200000,100000,2300000,1100000, Approved
+463,0, Graduate, No,4400000,14700000,16,638,4000000,2700000,14400000,2700000, Approved
+464,1, Graduate, Yes,3800000,10500000,12,710,1800000,6200000,12500000,2500000, Approved
+465,3, Not Graduate, Yes,6100000,20900000,18,470,500000,8500000,18000000,7500000, Rejected
+466,5, Not Graduate, Yes,5500000,17300000,16,874,1000000,2900000,13700000,7900000, Approved
+467,5, Not Graduate, Yes,500000,1800000,18,411,1000000,500000,1300000,200000, Rejected
+468,0, Not Graduate, Yes,300000,1100000,2,482,200000,100000,1100000,400000, Approved
+469,1, Graduate, Yes,6200000,16900000,2,396,10600000,7500000,23700000,7600000, Rejected
+470,0, Not Graduate, No,300000,900000,20,436,0,400000,600000,200000, Rejected
+471,0, Not Graduate, Yes,6900000,22100000,20,303,13600000,4600000,22000000,6900000, Rejected
+472,4, Graduate, No,3700000,11400000,12,728,4200000,5800000,7300000,2300000, Approved
+473,3, Not Graduate, Yes,8800000,28600000,10,775,5200000,5000000,32000000,9600000, Approved
+474,5, Graduate, Yes,8200000,23500000,12,402,15100000,1500000,24300000,5800000, Rejected
+475,1, Not Graduate, Yes,9200000,31500000,18,698,5300000,6100000,20400000,8300000, Approved
+476,0, Not Graduate, No,2400000,7800000,14,665,5200000,2900000,6200000,2900000, Approved
+477,4, Not Graduate, No,4100000,13500000,18,490,4700000,6200000,13900000,2000000, Rejected
+478,1, Graduate, No,8000000,31900000,12,504,23800000,1500000,22100000,6000000, Rejected
+479,3, Not Graduate, Yes,3600000,8600000,8,790,5400000,5900000,9800000,5200000, Approved
+480,1, Not Graduate, Yes,700000,2700000,20,669,100000,1000000,2600000,500000, Approved
+481,4, Not Graduate, No,8300000,30700000,6,381,21700000,2300000,26700000,4600000, Rejected
+482,0, Graduate, Yes,5300000,15000000,2,900,1700000,2100000,21000000,5800000, Approved
+483,4, Graduate, No,8300000,24900000,16,506,15400000,5600000,26700000,7000000, Rejected
+484,3, Not Graduate, Yes,2500000,8800000,12,538,4900000,1800000,9100000,3300000, Rejected
+485,3, Graduate, Yes,5400000,14400000,8,677,11000000,7900000,20800000,3100000, Approved
+486,4, Graduate, No,1600000,4900000,8,685,3200000,2000000,3800000,1500000, Approved
+487,2, Not Graduate, No,2400000,6200000,12,860,4900000,3700000,9500000,1100000, Approved
+488,5, Not Graduate, No,6300000,14800000,6,608,16100000,10500000,21800000,5400000, Approved
+489,4, Graduate, Yes,2500000,5300000,10,540,2300000,2800000,7100000,1700000, Rejected
+490,0, Graduate, Yes,7500000,16800000,16,492,21500000,4800000,25400000,11100000, Rejected
+491,3, Not Graduate, No,2900000,8500000,14,834,1200000,4500000,8800000,1800000, Approved
+492,3, Graduate, Yes,1000000,3500000,16,834,800000,1700000,3000000,700000, Approved
+493,2, Graduate, Yes,8600000,28800000,8,890,23300000,5900000,21200000,7200000, Approved
+494,1, Not Graduate, No,300000,1100000,12,443,600000,400000,1200000,200000, Rejected
+495,5, Not Graduate, No,2300000,5700000,18,329,5600000,3300000,4900000,2700000, Rejected
+496,2, Not Graduate, Yes,2400000,5400000,12,739,300000,2500000,5000000,3000000, Approved
+497,5, Graduate, Yes,9800000,30300000,6,867,20800000,16000000,30200000,7600000, Approved
+498,2, Not Graduate, No,8100000,24800000,6,307,200000,4000000,31100000,10500000, Rejected
+499,3, Graduate, No,6700000,15500000,18,492,2100000,2000000,26300000,9400000, Rejected
+500,1, Not Graduate, Yes,8400000,24700000,18,698,23000000,13200000,32700000,12200000, Approved
+501,2, Graduate, No,200000,700000,8,851,400000,200000,800000,200000, Approved
+502,2, Graduate, No,4700000,12500000,14,375,1300000,6300000,10100000,5400000, Rejected
+503,0, Graduate, Yes,4300000,14300000,14,601,3800000,900000,16700000,5700000, Approved
+504,4, Not Graduate, No,2200000,7000000,20,756,3600000,3900000,5700000,1200000, Approved
+505,4, Graduate, Yes,8600000,19200000,4,868,20400000,1500000,32800000,9300000, Approved
+506,4, Graduate, Yes,2000000,7200000,10,838,2500000,300000,7600000,1000000, Approved
+507,4, Not Graduate, Yes,4200000,15900000,14,375,7200000,7900000,16200000,3000000, Rejected
+508,0, Not Graduate, Yes,5100000,12500000,18,778,3300000,1000000,14800000,3200000, Approved
+509,2, Graduate, Yes,4100000,11200000,6,442,12200000,4100000,10000000,4500000, Rejected
+510,1, Graduate, Yes,9900000,39500000,12,808,11800000,3700000,30200000,13500000, Approved
+511,1, Not Graduate, Yes,3200000,9000000,20,372,2700000,2800000,7200000,3800000, Rejected
+512,2, Graduate, No,5500000,19000000,4,597,1100000,4000000,18700000,5300000, Approved
+513,0, Graduate, Yes,7800000,29100000,20,435,21100000,13000000,17300000,9700000, Rejected
+514,3, Graduate, Yes,3400000,9700000,20,728,1500000,1500000,7300000,2400000, Approved
+515,4, Graduate, Yes,7900000,25900000,14,373,10900000,14300000,27700000,7600000, Rejected
+516,3, Graduate, Yes,8900000,18500000,10,367,6100000,0,32000000,10300000, Rejected
+517,2, Graduate, No,7300000,19100000,14,552,2000000,13400000,16800000,4000000, Approved
+518,4, Not Graduate, Yes,3300000,10600000,8,465,500000,4400000,7300000,2800000, Rejected
+519,4, Graduate, Yes,2900000,10500000,8,607,4400000,5500000,7600000,3800000, Approved
+520,2, Graduate, Yes,500000,1300000,4,427,1400000,500000,1800000,600000, Rejected
+521,3, Not Graduate, No,7200000,21200000,4,711,10800000,4200000,24900000,5700000, Approved
+522,3, Not Graduate, No,8300000,24100000,14,823,5900000,700000,24000000,7700000, Approved
+523,1, Not Graduate, Yes,8700000,20500000,6,523,19300000,6500000,23700000,4800000, Rejected
+524,4, Not Graduate, Yes,7100000,27900000,10,328,9000000,13400000,26500000,7700000, Rejected
+525,3, Graduate, Yes,9800000,28200000,12,721,15800000,6500000,21900000,9600000, Approved
+526,0, Graduate, Yes,6900000,17000000,20,599,18100000,9400000,26600000,4300000, Approved
+527,0, Not Graduate, No,2400000,5000000,14,580,5900000,4400000,5500000,3200000, Approved
+528,1, Not Graduate, Yes,2100000,4900000,10,744,200000,2000000,5400000,1000000, Approved
+529,2, Graduate, Yes,7200000,23900000,4,559,4200000,12200000,17800000,10800000, Approved
+530,2, Graduate, No,4600000,13500000,16,587,7700000,5900000,10600000,5000000, Approved
+531,5, Graduate, Yes,9900000,31800000,18,817,23400000,700000,32600000,11500000, Approved
+532,4, Not Graduate, Yes,300000,1000000,20,655,0,100000,1100000,400000, Approved
+533,5, Graduate, Yes,6900000,23900000,6,382,17100000,6900000,21500000,8900000, Rejected
+534,2, Graduate, Yes,1700000,4300000,6,765,5000000,1500000,3400000,900000, Approved
+535,2, Graduate, Yes,4400000,10000000,20,516,7400000,7600000,12200000,5100000, Rejected
+536,4, Not Graduate, Yes,4300000,15000000,8,383,4700000,100000,9000000,4900000, Rejected
+537,2, Not Graduate, No,3700000,14100000,6,633,800000,200000,11300000,3400000, Approved
+538,1, Graduate, No,5900000,15200000,2,547,17100000,2000000,14700000,3600000, Rejected
+539,5, Not Graduate, Yes,8600000,26300000,10,843,23300000,9800000,18100000,11300000, Approved
+540,3, Not Graduate, Yes,3400000,13200000,8,783,6500000,300000,13000000,4900000, Approved
+541,3, Not Graduate, Yes,1000000,3200000,14,790,1900000,100000,3600000,1100000, Approved
+542,1, Not Graduate, Yes,4400000,14200000,16,409,12700000,1300000,12600000,4500000, Rejected
+543,0, Not Graduate, No,3600000,7800000,14,376,9800000,6900000,11900000,3000000, Rejected
+544,3, Not Graduate, No,1400000,2700000,8,625,3100000,1800000,3400000,1000000, Approved
+545,0, Not Graduate, No,5300000,10900000,18,707,12900000,2600000,12700000,7600000, Approved
+546,3, Graduate, Yes,9400000,20500000,6,645,17400000,13000000,24500000,10200000, Approved
+547,4, Not Graduate, Yes,6600000,22100000,6,887,3600000,3500000,19800000,4700000, Approved
+548,5, Graduate, No,9800000,37600000,18,319,19200000,5100000,19900000,5100000, Rejected
+549,1, Not Graduate, No,1900000,4900000,20,647,4100000,2100000,6800000,1700000, Approved
+550,2, Not Graduate, Yes,5800000,22500000,6,888,11900000,2600000,17100000,4800000, Approved
+551,2, Not Graduate, No,3100000,10400000,10,420,6900000,5900000,10000000,3500000, Rejected
+552,0, Graduate, No,6800000,18400000,2,791,4000000,900000,20200000,9900000, Approved
+553,5, Not Graduate, No,4600000,16200000,12,891,5900000,1200000,10800000,3700000, Approved
+554,2, Not Graduate, Yes,200000,700000,16,641,600000,200000,600000,100000, Approved
+555,3, Not Graduate, Yes,9500000,22800000,6,319,200000,18800000,34100000,9400000, Rejected
+556,5, Not Graduate, Yes,6200000,22200000,20,819,13500000,6600000,21700000,8700000, Approved
+557,4, Not Graduate, Yes,9700000,32300000,18,387,11600000,14300000,20000000,5400000, Rejected
+558,5, Graduate, Yes,4200000,12300000,2,686,10500000,200000,15600000,4200000, Approved
+559,1, Graduate, Yes,5700000,12000000,4,415,15700000,900000,17300000,7400000, Rejected
+560,2, Graduate, Yes,200000,500000,6,885,-100000,0,300000,200000, Rejected
+561,4, Graduate, No,8000000,25500000,4,722,17200000,13900000,26200000,4900000, Approved
+562,4, Graduate, No,5200000,20400000,20,761,4700000,1600000,14300000,6200000, Approved
+563,1, Graduate, Yes,7100000,15200000,8,389,5900000,900000,24300000,5900000, Rejected
+564,1, Graduate, Yes,9300000,27900000,12,600,2100000,4200000,29000000,6600000, Approved
+565,5, Graduate, No,2000000,6100000,2,407,1900000,1900000,4600000,2000000, Approved
+566,3, Graduate, Yes,3900000,14000000,18,829,5200000,4000000,11600000,2700000, Approved
+567,2, Not Graduate, No,2800000,5900000,6,895,1000000,3900000,10900000,1500000, Approved
+568,5, Graduate, Yes,3000000,11100000,12,441,8500000,2500000,7300000,2000000, Rejected
+569,4, Not Graduate, No,4500000,9800000,16,895,9800000,8200000,13900000,5500000, Approved
+570,4, Graduate, No,1900000,4300000,4,826,2400000,0,7000000,900000, Approved
+571,1, Graduate, No,2300000,7200000,8,453,3000000,2100000,8100000,3400000, Rejected
+572,0, Graduate, No,4700000,17500000,2,701,5400000,2300000,11700000,7000000, Approved
+573,2, Not Graduate, Yes,1300000,2700000,8,627,100000,300000,2600000,1300000, Approved
+574,3, Graduate, No,3100000,11000000,2,543,5900000,2200000,9000000,2400000, Approved
+575,0, Graduate, No,8400000,17500000,18,411,13200000,5300000,31300000,10400000, Rejected
+576,5, Graduate, Yes,1700000,5800000,4,583,2000000,1800000,6000000,2300000, Approved
+577,2, Not Graduate, No,1900000,7500000,2,889,600000,1100000,7100000,2600000, Approved
+578,3, Not Graduate, No,2400000,8600000,8,684,3400000,2400000,6200000,1600000, Approved
+579,5, Graduate, No,6800000,20500000,10,578,500000,11800000,27200000,3400000, Approved
+580,1, Graduate, No,2900000,10900000,20,445,6600000,2800000,9300000,2600000, Rejected
+581,4, Graduate, Yes,8900000,26300000,10,369,23900000,7000000,27400000,12100000, Rejected
+582,1, Not Graduate, No,8800000,22200000,18,794,8400000,11900000,21000000,10500000, Approved
+583,0, Graduate, Yes,8200000,19200000,16,492,16500000,9200000,20000000,7200000, Rejected
+584,3, Not Graduate, Yes,3600000,13200000,16,557,9800000,4000000,9900000,2100000, Approved
+585,4, Graduate, Yes,9500000,31800000,6,519,5900000,1300000,28400000,12200000, Rejected
+586,0, Not Graduate, Yes,1900000,5700000,18,699,5500000,200000,6500000,2000000, Approved
+587,3, Not Graduate, Yes,9100000,24600000,2,741,8000000,4000000,35500000,13600000, Approved
+588,5, Graduate, No,1100000,3800000,18,508,200000,1800000,2300000,900000, Rejected
+589,5, Not Graduate, Yes,1100000,2800000,10,647,2700000,2000000,4300000,1400000, Approved
+590,1, Graduate, No,9300000,28600000,14,656,17300000,9100000,27400000,12500000, Approved
+591,4, Graduate, Yes,3900000,10600000,2,439,300000,7600000,14800000,2500000, Rejected
+592,5, Not Graduate, Yes,1500000,4000000,12,350,2900000,1900000,4400000,1200000, Rejected
+593,5, Graduate, No,800000,2200000,6,493,900000,500000,2800000,1000000, Rejected
+594,4, Graduate, No,600000,1800000,6,851,100000,1100000,2100000,800000, Approved
+595,2, Graduate, No,4400000,12500000,18,492,7900000,1200000,10100000,2700000, Rejected
+596,4, Graduate, Yes,2700000,5400000,6,861,6300000,2400000,6700000,2700000, Approved
+597,3, Not Graduate, Yes,6200000,14600000,2,664,18300000,8400000,16800000,6600000, Approved
+598,5, Graduate, Yes,700000,1300000,16,362,2100000,1300000,2000000,1000000, Rejected
+599,0, Graduate, No,3400000,9400000,6,703,600000,6000000,8600000,2600000, Approved
+600,1, Not Graduate, Yes,4900000,16800000,12,758,1700000,2700000,11100000,5900000, Approved
+601,3, Not Graduate, Yes,4200000,9700000,2,396,700000,8200000,8600000,4300000, Rejected
+602,0, Graduate, Yes,5300000,10600000,2,828,8100000,6700000,17400000,5800000, Approved
+603,5, Graduate, Yes,3700000,10000000,20,709,8000000,800000,12000000,2200000, Approved
+604,4, Not Graduate, Yes,5600000,17500000,10,528,14200000,2300000,12100000,7200000, Rejected
+605,2, Graduate, Yes,4300000,16000000,14,623,9800000,6700000,17000000,4500000, Approved
+606,4, Not Graduate, Yes,7100000,24500000,14,599,9100000,7000000,20400000,6800000, Approved
+607,4, Graduate, Yes,5400000,12700000,4,622,11000000,3300000,15100000,6500000, Approved
+608,0, Not Graduate, No,6000000,13100000,6,385,16600000,7600000,22000000,7400000, Rejected
+609,4, Graduate, Yes,4100000,12500000,2,579,10900000,7200000,12200000,2000000, Approved
+610,4, Not Graduate, No,8300000,17900000,20,846,12700000,1300000,26800000,12200000, Approved
+611,3, Graduate, No,8100000,23900000,10,449,7100000,6100000,28300000,8900000, Rejected
+612,1, Not Graduate, No,7200000,24900000,14,666,3600000,11600000,16600000,5800000, Approved
+613,5, Graduate, No,7200000,17500000,4,380,2300000,400000,17500000,6200000, Rejected
+614,2, Graduate, Yes,3500000,8100000,4,589,3800000,6700000,12500000,2700000, Approved
+615,1, Graduate, No,6200000,19500000,12,845,9100000,2900000,15300000,4000000, Approved
+616,3, Not Graduate, No,5200000,17300000,10,401,2600000,1400000,12700000,6400000, Rejected
+617,0, Not Graduate, No,4500000,14500000,2,766,6100000,8400000,17200000,6600000, Approved
+618,5, Not Graduate, No,5400000,15100000,12,522,5200000,4700000,13900000,5700000, Rejected
+619,3, Not Graduate, Yes,2000000,6900000,6,834,2200000,2800000,6400000,3000000, Approved
+620,3, Graduate, No,8900000,25400000,8,588,19400000,12100000,18800000,4500000, Approved
+621,2, Graduate, No,5000000,10600000,4,570,11900000,900000,14800000,7100000, Approved
+622,2, Graduate, No,4900000,17600000,6,860,13600000,7500000,12700000,5600000, Approved
+623,4, Graduate, Yes,5300000,19200000,4,655,14200000,6900000,17800000,3900000, Approved
+624,3, Not Graduate, Yes,8500000,27700000,4,457,3600000,400000,18900000,5200000, Approved
+625,5, Graduate, Yes,700000,2100000,14,863,100000,1200000,2700000,600000, Approved
+626,3, Not Graduate, Yes,5900000,18900000,4,742,10800000,4500000,23200000,8000000, Approved
+627,3, Graduate, No,3500000,13300000,4,798,7400000,5300000,12100000,3600000, Approved
+628,5, Not Graduate, Yes,7700000,18900000,16,552,15600000,6100000,23900000,6600000, Approved
+629,2, Not Graduate, Yes,4500000,12500000,12,418,400000,4300000,12400000,4300000, Rejected
+630,0, Graduate, No,9100000,22200000,6,419,7400000,600000,18200000,9800000, Rejected
+631,1, Not Graduate, Yes,9000000,29900000,2,668,22100000,7200000,24400000,4700000, Approved
+632,2, Not Graduate, No,8900000,29200000,8,608,10800000,5200000,33500000,11700000, Approved
+633,5, Not Graduate, No,6500000,13800000,10,342,15300000,2300000,14400000,7300000, Rejected
+634,4, Not Graduate, Yes,8100000,18000000,8,817,1400000,7800000,16900000,10800000, Approved
+635,1, Not Graduate, No,8400000,29900000,16,476,16100000,2400000,32700000,7500000, Rejected
+636,0, Not Graduate, No,5300000,20000000,6,881,15900000,3700000,19500000,4000000, Approved
+637,2, Graduate, No,4100000,15600000,12,838,5500000,4800000,15100000,2700000, Approved
+638,3, Not Graduate, No,6900000,27400000,4,406,10200000,6500000,23900000,5300000, Approved
+639,1, Graduate, Yes,5200000,19500000,12,778,5200000,4300000,19900000,5800000, Approved
+640,5, Not Graduate, Yes,2000000,7400000,14,799,3600000,3700000,4300000,1100000, Approved
+641,3, Graduate, No,4600000,17800000,20,716,12600000,2600000,10800000,4500000, Approved
+642,0, Graduate, Yes,7100000,20100000,16,756,8000000,5000000,17600000,5400000, Approved
+643,0, Not Graduate, No,9300000,20100000,10,743,4800000,1800000,21900000,13600000, Approved
+644,3, Not Graduate, No,5400000,19400000,20,731,13800000,3200000,20000000,4300000, Approved
+645,3, Not Graduate, No,4100000,8500000,2,833,12000000,0,16200000,3400000, Approved
+646,4, Not Graduate, No,4900000,11400000,8,470,12000000,7500000,14700000,4800000, Rejected
+647,5, Graduate, Yes,5400000,21200000,20,734,7300000,1800000,11500000,7500000, Approved
+648,0, Graduate, No,3000000,9600000,12,620,7900000,0,8600000,3600000, Approved
+649,0, Not Graduate, Yes,6800000,14400000,8,812,15200000,4500000,21100000,6400000, Approved
+650,4, Graduate, Yes,5100000,14000000,12,459,9800000,0,10400000,6800000, Rejected
+651,0, Graduate, Yes,9800000,32600000,10,704,7000000,12100000,30000000,4900000, Approved
+652,1, Graduate, Yes,1600000,4100000,6,391,4300000,1400000,5700000,700000, Rejected
+653,4, Graduate, No,8000000,29100000,4,421,3100000,12000000,27000000,8800000, Approved
+654,5, Graduate, No,2900000,6700000,14,796,3800000,3700000,9700000,4200000, Approved
+655,4, Graduate, No,9200000,30300000,10,607,24000000,16600000,29600000,8900000, Approved
+656,3, Not Graduate, No,9500000,20400000,14,376,2300000,6600000,25900000,8400000, Rejected
+657,0, Graduate, Yes,3700000,8500000,8,424,1900000,5600000,14800000,4100000, Rejected
+658,5, Graduate, Yes,7100000,20800000,6,442,2900000,7100000,28200000,7100000, Rejected
+659,5, Not Graduate, No,5600000,17600000,14,448,6700000,3500000,18900000,6800000, Rejected
+660,0, Graduate, Yes,1200000,2700000,2,638,1500000,500000,2700000,1500000, Approved
+661,3, Not Graduate, No,1600000,5600000,6,710,3100000,800000,6000000,1600000, Approved
+662,4, Not Graduate, Yes,1600000,4800000,20,641,4200000,1000000,4100000,1400000, Approved
+663,2, Not Graduate, No,5300000,20200000,10,348,9200000,9500000,17300000,6100000, Rejected
+664,5, Not Graduate, No,9100000,19900000,20,519,9300000,16400000,28900000,10500000, Rejected
+665,4, Not Graduate, Yes,9400000,35000000,10,517,10700000,15100000,27500000,6700000, Rejected
+666,3, Not Graduate, No,5900000,22400000,6,375,6500000,10500000,18100000,4800000, Rejected
+667,2, Graduate, Yes,1100000,3400000,10,426,300000,800000,3900000,1400000, Rejected
+668,4, Graduate, Yes,3100000,11500000,14,785,3200000,3100000,9100000,4200000, Approved
+669,4, Not Graduate, No,2200000,8600000,20,373,4100000,1300000,5900000,1400000, Rejected
+670,1, Graduate, No,6000000,20100000,6,476,13900000,10000000,15200000,5500000, Rejected
+671,1, Graduate, Yes,2000000,5600000,18,320,2400000,2300000,4600000,2100000, Rejected
+672,4, Graduate, No,7200000,22900000,18,657,14600000,400000,17400000,8800000, Approved
+673,1, Not Graduate, Yes,500000,1900000,12,868,200000,500000,1800000,300000, Approved
+674,1, Not Graduate, Yes,5800000,13900000,6,345,4000000,9300000,20900000,5500000, Rejected
+675,0, Not Graduate, No,200000,300000,6,472,400000,100000,700000,0, Rejected
+676,4, Not Graduate, Yes,4600000,9500000,20,613,5200000,5900000,13700000,3000000, Approved
+677,5, Not Graduate, Yes,4600000,12800000,14,769,13100000,8600000,12100000,3500000, Approved
+678,1, Graduate, No,6500000,23100000,20,741,11400000,8500000,25700000,7900000, Approved
+679,4, Not Graduate, Yes,4400000,16600000,14,889,800000,1400000,14900000,5900000, Approved
+680,0, Not Graduate, Yes,900000,3600000,10,683,1400000,700000,3500000,400000, Approved
+681,0, Not Graduate, Yes,3200000,7400000,18,780,4200000,2600000,9000000,2800000, Approved
+682,3, Graduate, No,600000,1100000,8,538,500000,800000,1400000,300000, Rejected
+683,1, Not Graduate, No,5200000,12600000,10,721,1100000,8700000,13900000,3600000, Approved
+684,3, Not Graduate, Yes,6400000,15200000,14,467,15500000,9100000,18400000,3200000, Rejected
+685,2, Not Graduate, No,1000000,2500000,6,551,1700000,200000,3700000,900000, Approved
+686,2, Not Graduate, No,6800000,14800000,14,803,11300000,3300000,19600000,6600000, Approved
+687,0, Graduate, No,3000000,8400000,10,361,7700000,200000,7300000,1800000, Rejected
+688,1, Not Graduate, Yes,8700000,30700000,6,708,20600000,4500000,27600000,9300000, Approved
+689,4, Graduate, Yes,8800000,20900000,18,766,13500000,15400000,34500000,13100000, Approved
+690,1, Not Graduate, Yes,3900000,11500000,2,464,9300000,5700000,12400000,5100000, Rejected
+691,5, Graduate, No,1700000,4300000,2,517,100000,200000,6200000,1600000, Rejected
+692,3, Not Graduate, Yes,900000,2300000,6,747,1200000,200000,2900000,600000, Approved
+693,1, Not Graduate, No,7200000,24700000,6,596,8800000,1400000,21700000,5800000, Approved
+694,0, Graduate, No,9200000,25400000,2,783,25400000,2000000,19600000,12400000, Approved
+695,3, Not Graduate, No,5700000,19400000,2,335,7400000,10600000,20600000,7100000, Approved
+696,5, Not Graduate, Yes,1100000,2700000,4,889,1900000,1000000,2200000,500000, Approved
+697,2, Not Graduate, Yes,1100000,2200000,4,874,1900000,1300000,2100000,900000, Approved
+698,0, Graduate, Yes,6000000,23900000,4,394,6700000,5800000,21900000,4500000, Approved
+699,2, Graduate, Yes,8100000,28500000,20,420,1500000,1400000,31800000,10000000, Rejected
+700,2, Not Graduate, Yes,6500000,25100000,20,848,11500000,8600000,17400000,4400000, Approved
+701,0, Graduate, Yes,7600000,17900000,16,788,1700000,7800000,27100000,5900000, Approved
+702,1, Graduate, No,2200000,4900000,8,509,3800000,0,5400000,2900000, Rejected
+703,4, Graduate, Yes,6300000,23900000,6,899,-100000,11400000,20600000,6700000, Approved
+704,4, Not Graduate, Yes,6700000,15800000,12,466,7500000,4600000,19900000,6600000, Rejected
+705,5, Graduate, Yes,1300000,4300000,2,595,1300000,500000,2900000,1500000, Approved
+706,1, Not Graduate, No,2800000,6700000,12,322,1900000,2000000,8600000,2100000, Rejected
+707,3, Graduate, No,7000000,18900000,2,691,6300000,7400000,15200000,3900000, Approved
+708,3, Not Graduate, Yes,8800000,26700000,10,379,10100000,15500000,27000000,9700000, Rejected
+709,0, Graduate, No,8900000,25800000,18,531,12400000,3400000,22900000,5400000, Rejected
+710,5, Not Graduate, No,7000000,21800000,4,631,8100000,7100000,14600000,10000000, Approved
+711,0, Graduate, Yes,6900000,18600000,10,330,19600000,9400000,16400000,4500000, Rejected
+712,5, Graduate, No,9200000,29200000,16,383,17700000,13300000,30400000,5700000, Rejected
+713,0, Graduate, Yes,6100000,19700000,16,678,13700000,2300000,19300000,5500000, Approved
+714,1, Graduate, Yes,4400000,14700000,8,894,11400000,6300000,9400000,2400000, Approved
+715,4, Not Graduate, No,9900000,22700000,12,567,28300000,9900000,29700000,5400000, Approved
+716,5, Not Graduate, No,3900000,14000000,4,708,700000,1800000,15600000,5200000, Approved
+717,3, Graduate, No,6800000,21200000,2,433,10700000,1900000,23200000,6300000, Approved
+718,4, Not Graduate, No,3600000,8700000,14,302,6400000,3700000,7800000,4100000, Rejected
+719,4, Graduate, No,700000,2600000,14,736,2100000,600000,1900000,400000, Approved
+720,2, Not Graduate, Yes,4000000,8500000,6,323,11200000,1000000,14300000,4100000, Rejected
+721,4, Graduate, No,1800000,4100000,12,670,1900000,2900000,4700000,2200000, Approved
+722,3, Not Graduate, No,5600000,21000000,12,609,8800000,11000000,15800000,4900000, Approved
+723,4, Not Graduate, No,6800000,24200000,18,349,18800000,0,15800000,9400000, Rejected
+724,5, Not Graduate, Yes,600000,1500000,2,319,100000,1100000,2100000,600000, Rejected
+725,1, Not Graduate, No,4200000,16200000,14,391,5800000,2100000,14100000,2600000, Rejected
+726,4, Not Graduate, No,5000000,18700000,10,755,3600000,600000,13000000,2600000, Approved
+727,1, Not Graduate, No,4100000,12200000,6,354,7300000,5600000,16300000,3500000, Rejected
+728,3, Not Graduate, Yes,2200000,8800000,2,877,5000000,1300000,6400000,3100000, Approved
+729,1, Not Graduate, No,3400000,8600000,16,312,6400000,6100000,8400000,3000000, Rejected
+730,0, Graduate, No,7100000,15900000,14,746,9500000,3900000,23500000,8000000, Approved
+731,3, Graduate, No,5800000,19600000,16,313,11100000,8100000,22700000,6300000, Rejected
+732,2, Graduate, No,3400000,12900000,14,857,3400000,2500000,8700000,1900000, Approved
+733,2, Not Graduate, No,7700000,18300000,20,504,14600000,500000,18300000,4600000, Rejected
+734,0, Graduate, No,500000,1200000,14,556,900000,0,1800000,500000, Approved
+735,2, Graduate, Yes,5300000,11000000,14,393,6800000,2400000,20500000,5200000, Rejected
+736,0, Graduate, No,4700000,14400000,14,881,11000000,6100000,17600000,2400000, Approved
+737,2, Graduate, Yes,4300000,12200000,14,719,5100000,2600000,14000000,5700000, Approved
+738,2, Graduate, Yes,900000,2500000,16,458,-100000,100000,3200000,1100000, Rejected
+739,4, Graduate, No,2000000,7500000,14,857,4300000,1500000,4200000,2100000, Approved
+740,2, Graduate, Yes,2000000,7600000,16,429,5300000,3100000,5800000,2200000, Rejected
+741,3, Not Graduate, No,4100000,15900000,12,538,3900000,800000,8800000,5700000, Rejected
+742,1, Not Graduate, No,6900000,14400000,10,828,4600000,13000000,26700000,9000000, Approved
+743,5, Graduate, Yes,2300000,6100000,6,339,5100000,2500000,8300000,2400000, Rejected
+744,5, Graduate, Yes,5800000,16600000,18,376,2500000,7500000,21100000,2800000, Rejected
+745,5, Not Graduate, No,8000000,30000000,14,549,14800000,200000,17300000,7000000, Rejected
+746,3, Not Graduate, Yes,3700000,12700000,18,587,11000000,3100000,8800000,4100000, Approved
+747,0, Not Graduate, No,2600000,8400000,18,861,0,3500000,6200000,3800000, Approved
+748,0, Not Graduate, No,3000000,7000000,12,409,6400000,4900000,8000000,3500000, Rejected
+749,4, Graduate, No,2700000,10200000,4,528,7800000,2200000,10000000,1600000, Approved
+750,4, Not Graduate, No,5700000,19600000,8,691,8800000,2200000,12100000,3000000, Approved
+751,2, Graduate, No,1500000,3600000,4,584,3900000,1300000,4800000,1700000, Approved
+752,5, Not Graduate, No,6800000,20000000,4,459,14500000,3000000,25000000,4900000, Rejected
+753,1, Graduate, Yes,8100000,31700000,10,755,0,12700000,30100000,4700000, Approved
+754,3, Not Graduate, Yes,9200000,27700000,20,688,4800000,16300000,25800000,11200000, Approved
+755,1, Not Graduate, Yes,7600000,26000000,6,384,2600000,1200000,20000000,7900000, Rejected
+756,4, Graduate, No,600000,1600000,20,869,1400000,1000000,1700000,200000, Approved
+757,1, Not Graduate, Yes,4700000,18700000,20,445,2100000,0,11100000,4000000, Rejected
+758,0, Graduate, No,1400000,5500000,6,393,500000,1500000,5400000,1800000, Rejected
+759,3, Graduate, Yes,9400000,24600000,10,414,8800000,13400000,23800000,5600000, Rejected
+760,2, Graduate, No,9700000,19900000,16,395,2800000,13700000,37000000,10800000, Rejected
+761,3, Not Graduate, Yes,8900000,21000000,14,815,200000,10800000,21600000,6400000, Approved
+762,5, Graduate, No,4600000,10500000,8,758,3900000,4300000,15800000,2900000, Approved
+763,5, Not Graduate, Yes,5600000,14500000,10,457,6900000,7800000,20600000,4600000, Rejected
+764,0, Graduate, Yes,1000000,3200000,10,854,2600000,800000,2900000,1200000, Approved
+765,3, Graduate, No,3500000,10300000,16,324,2400000,900000,12600000,2400000, Rejected
+766,0, Not Graduate, No,7900000,31500000,14,849,19400000,10300000,26600000,10600000, Approved
+767,3, Graduate, Yes,6100000,24200000,12,672,300000,11100000,23500000,5000000, Approved
+768,3, Not Graduate, Yes,8900000,20900000,6,859,9600000,16500000,29300000,11100000, Approved
+769,4, Graduate, No,5300000,15400000,8,584,5100000,1700000,14000000,5000000, Approved
+770,5, Not Graduate, No,1300000,4800000,4,346,3200000,1600000,3400000,1600000, Approved
+771,3, Graduate, No,4000000,12800000,18,635,6000000,7000000,12900000,4200000, Approved
+772,2, Not Graduate, No,8700000,22700000,4,365,8200000,14800000,30200000,7200000, Rejected
+773,1, Not Graduate, No,9500000,20000000,16,856,24900000,0,35700000,6200000, Approved
+774,5, Graduate, Yes,9000000,20000000,2,440,17100000,1000000,28500000,7600000, Rejected
+775,0, Graduate, Yes,7300000,23300000,2,616,15700000,5900000,25800000,4100000, Approved
+776,3, Graduate, Yes,7400000,25700000,2,461,5700000,2900000,15100000,5100000, Approved
+777,5, Not Graduate, No,3100000,10800000,10,681,5100000,1700000,7400000,1500000, Approved
+778,2, Graduate, No,4300000,9400000,2,485,11000000,8100000,11000000,2200000, Rejected
+779,1, Graduate, Yes,2400000,8300000,6,684,5500000,3500000,5300000,2300000, Approved
+780,1, Graduate, No,5400000,17900000,14,727,13100000,0,12300000,4700000, Approved
+781,2, Not Graduate, No,1600000,5100000,6,784,1400000,2400000,4500000,1400000, Approved
+782,3, Not Graduate, Yes,9900000,20400000,4,865,26300000,3600000,36500000,12800000, Approved
+783,3, Not Graduate, No,5800000,20100000,18,791,1400000,10800000,16300000,5600000, Approved
+784,4, Not Graduate, No,2200000,8500000,16,866,4000000,1900000,6800000,2800000, Approved
+785,0, Graduate, No,5000000,14400000,2,761,-100000,7300000,12600000,4500000, Approved
+786,2, Not Graduate, Yes,600000,2100000,18,572,400000,500000,1400000,300000, Approved
+787,4, Graduate, No,2200000,8600000,6,601,2700000,2900000,6700000,3300000, Approved
+788,1, Graduate, Yes,2600000,5500000,14,820,2700000,2400000,9300000,2000000, Approved
+789,4, Not Graduate, No,1200000,4300000,8,598,1600000,1800000,3200000,1300000, Approved
+790,2, Graduate, No,3100000,8700000,18,544,5300000,1100000,12200000,1500000, Rejected
+791,5, Not Graduate, Yes,4600000,14500000,14,561,2300000,6200000,10200000,5800000, Approved
+792,4, Graduate, Yes,9300000,35500000,6,547,2800000,17800000,27000000,13900000, Rejected
+793,4, Graduate, No,6300000,13400000,2,504,10500000,10900000,14500000,9400000, Rejected
+794,2, Not Graduate, No,5900000,20800000,14,530,7100000,5800000,13100000,8800000, Rejected
+795,2, Graduate, Yes,2900000,10600000,6,614,1000000,300000,7600000,3600000, Approved
+796,4, Not Graduate, No,6100000,22400000,18,351,11800000,5000000,24400000,4800000, Rejected
+797,4, Graduate, Yes,5900000,19700000,10,431,3300000,9200000,22700000,5300000, Rejected
+798,1, Not Graduate, Yes,4600000,18400000,10,403,200000,8800000,17300000,2900000, Rejected
+799,2, Not Graduate, No,7000000,20200000,8,668,16600000,5000000,26100000,9100000, Approved
+800,3, Not Graduate, Yes,5100000,10400000,18,399,8000000,4300000,20100000,4600000, Rejected
+801,1, Graduate, No,3100000,10600000,14,665,6200000,800000,9500000,3900000, Approved
+802,2, Graduate, No,4100000,12800000,16,344,10300000,7000000,15800000,4100000, Rejected
+803,0, Graduate, No,1800000,5400000,16,555,3900000,2900000,5100000,1700000, Approved
+804,4, Not Graduate, Yes,8200000,26900000,20,301,23800000,13600000,31000000,9900000, Rejected
+805,2, Not Graduate, Yes,800000,2100000,6,726,2000000,0,2600000,600000, Approved
+806,2, Graduate, No,8400000,23100000,6,689,5700000,2500000,18900000,11900000, Approved
+807,0, Not Graduate, No,8500000,33900000,4,665,8500000,12800000,17900000,4500000, Approved
+808,3, Not Graduate, Yes,3300000,12700000,16,608,3600000,6200000,12600000,4500000, Approved
+809,3, Not Graduate, No,5800000,12800000,20,335,4400000,3000000,15300000,8000000, Rejected
+810,3, Not Graduate, No,4400000,10500000,18,677,100000,2000000,12100000,5000000, Approved
+811,1, Not Graduate, No,2600000,8500000,2,491,1700000,1800000,5300000,2600000, Approved
+812,2, Not Graduate, Yes,9600000,28100000,20,763,23000000,11800000,27500000,10300000, Approved
+813,5, Not Graduate, Yes,5200000,18100000,8,809,2400000,6900000,14000000,5500000, Approved
+814,5, Not Graduate, Yes,9700000,36400000,16,544,3500000,15000000,31300000,5200000, Rejected
+815,1, Graduate, Yes,200000,800000,14,624,600000,0,600000,0, Approved
+816,3, Graduate, No,6500000,16800000,10,388,9500000,800000,14900000,7200000, Rejected
+817,4, Graduate, Yes,7200000,23100000,14,644,13300000,3500000,18300000,4200000, Approved
+818,0, Not Graduate, No,5200000,18400000,14,600,7300000,9700000,16500000,3600000, Approved
+819,2, Not Graduate, No,6500000,14100000,2,709,1000000,12700000,20900000,4000000, Approved
+820,5, Graduate, Yes,2300000,5600000,8,642,2600000,1900000,8600000,2500000, Approved
+821,0, Not Graduate, Yes,3300000,10400000,4,423,7400000,4700000,11600000,3200000, Approved
+822,0, Not Graduate, Yes,2000000,5900000,12,900,3800000,2400000,7100000,3000000, Approved
+823,2, Graduate, Yes,8300000,19500000,4,415,2300000,9400000,21700000,8600000, Rejected
+824,4, Graduate, Yes,3800000,14300000,4,645,1300000,1100000,10900000,4600000, Approved
+825,0, Not Graduate, No,5700000,15600000,16,742,700000,5800000,11400000,6800000, Approved
+826,4, Not Graduate, No,7300000,19800000,8,724,5500000,6000000,29000000,10300000, Approved
+827,1, Graduate, No,1600000,5400000,12,707,600000,1700000,6200000,800000, Approved
+828,5, Not Graduate, Yes,800000,2500000,4,780,500000,900000,1700000,400000, Approved
+829,4, Not Graduate, No,6300000,21900000,10,538,9600000,5400000,19300000,7800000, Rejected
+830,2, Graduate, No,8800000,17700000,14,706,22900000,4300000,30300000,9200000, Approved
+831,0, Graduate, No,7300000,14500000,16,811,1000000,12400000,16100000,9600000, Approved
+832,2, Graduate, Yes,3800000,9100000,14,849,6300000,2400000,9500000,2500000, Approved
+833,3, Graduate, No,6200000,16700000,10,880,15800000,8200000,20100000,9100000, Approved
+834,5, Not Graduate, Yes,3500000,9500000,4,664,9500000,500000,7800000,5200000, Approved
+835,5, Graduate, Yes,1400000,5000000,2,465,0,2600000,5300000,1500000, Approved
+836,3, Not Graduate, Yes,3500000,12000000,2,786,600000,6400000,10700000,1700000, Approved
+837,1, Graduate, Yes,600000,2000000,10,326,400000,1000000,2400000,700000, Rejected
+838,0, Not Graduate, No,4100000,10800000,16,399,5900000,7600000,12700000,5300000, Rejected
+839,2, Not Graduate, Yes,5400000,11500000,6,841,6800000,100000,11100000,6600000, Approved
+840,2, Not Graduate, Yes,2000000,6700000,14,638,4900000,200000,4900000,2300000, Approved
+841,4, Graduate, Yes,3500000,8900000,4,478,4000000,3900000,11300000,3800000, Rejected
+842,0, Graduate, Yes,8300000,30000000,4,600,14600000,12500000,24800000,12000000, Approved
+843,0, Graduate, Yes,6700000,15600000,16,768,300000,1800000,26000000,3800000, Approved
+844,0, Not Graduate, No,1900000,6500000,10,523,2400000,1100000,6200000,1100000, Rejected
+845,2, Graduate, Yes,6500000,20900000,14,327,8200000,100000,22800000,4700000, Rejected
+846,1, Graduate, Yes,600000,1800000,8,799,1000000,700000,2200000,800000, Approved
+847,5, Graduate, No,7000000,23000000,18,803,18700000,6300000,27800000,4100000, Approved
+848,2, Graduate, No,7700000,15400000,18,524,12900000,5100000,21000000,6600000, Rejected
+849,1, Graduate, No,2600000,6600000,6,506,2300000,1900000,9600000,2100000, Rejected
+850,1, Graduate, No,9200000,18800000,2,351,22400000,2200000,31500000,13000000, Rejected
+851,2, Graduate, Yes,1800000,4200000,8,648,1200000,3100000,6200000,1600000, Approved
+852,1, Not Graduate, No,4900000,18500000,4,612,6100000,5900000,16400000,2900000, Approved
+853,1, Graduate, No,5700000,12400000,14,396,5400000,7500000,17600000,5600000, Rejected
+854,3, Not Graduate, No,300000,800000,2,458,500000,0,1100000,200000, Rejected
+855,3, Graduate, Yes,1700000,3400000,6,488,100000,500000,4500000,1600000, Rejected
+856,4, Graduate, No,7000000,18900000,6,475,1300000,6100000,14700000,5200000, Rejected
+857,1, Not Graduate, No,2200000,7000000,18,417,2000000,3900000,6500000,1900000, Rejected
+858,2, Not Graduate, No,6800000,18700000,8,781,17600000,900000,23700000,5400000, Approved
+859,1, Not Graduate, Yes,2400000,6200000,12,337,3400000,2100000,9400000,2300000, Rejected
+860,0, Not Graduate, Yes,600000,1800000,12,511,300000,200000,2200000,400000, Rejected
+861,4, Graduate, No,6200000,17300000,6,837,12600000,3700000,24700000,4600000, Approved
+862,1, Not Graduate, No,7600000,24600000,12,810,1300000,10500000,30300000,5200000, Approved
+863,2, Not Graduate, No,4800000,10600000,8,588,3700000,5200000,15000000,4500000, Approved
+864,5, Graduate, No,4200000,9200000,12,870,3200000,2400000,12300000,5700000, Approved
+865,0, Not Graduate, Yes,7200000,20700000,10,733,15600000,12000000,19200000,9900000, Approved
+866,5, Not Graduate, Yes,6400000,20300000,16,348,10000000,10900000,20400000,6900000, Rejected
+867,0, Not Graduate, Yes,8900000,23000000,12,741,5600000,11200000,27100000,7100000, Approved
+868,3, Not Graduate, No,5100000,14500000,12,306,700000,8800000,11600000,2900000, Rejected
+869,2, Graduate, Yes,6300000,19500000,18,428,15900000,7200000,19900000,6500000, Rejected
+870,3, Graduate, No,6600000,22100000,4,455,3800000,3000000,25100000,7400000, Approved
+871,1, Not Graduate, Yes,4800000,14700000,2,356,7100000,8800000,13400000,5500000, Approved
+872,0, Graduate, No,200000,400000,4,594,500000,0,400000,100000, Approved
+873,0, Not Graduate, Yes,7500000,25800000,18,844,9100000,600000,18600000,6500000, Approved
+874,4, Graduate, No,9000000,34700000,4,771,4800000,9500000,34100000,7700000, Approved
+875,2, Graduate, No,5400000,12500000,4,622,14400000,2900000,11800000,5400000, Approved
+876,1, Not Graduate, Yes,1700000,4500000,20,480,200000,600000,5400000,1900000, Rejected
+877,4, Graduate, No,4300000,11500000,20,337,11100000,6000000,17000000,5200000, Rejected
+878,1, Graduate, No,5200000,11200000,6,698,14100000,7600000,18800000,2700000, Approved
+879,4, Not Graduate, No,4400000,17000000,18,302,1000000,2100000,14000000,5700000, Rejected
+880,1, Not Graduate, Yes,3900000,7800000,14,349,11200000,500000,11800000,3600000, Rejected
+881,0, Graduate, No,1100000,3300000,10,482,2800000,300000,2900000,1600000, Rejected
+882,2, Graduate, No,2500000,8200000,10,429,1500000,4100000,5900000,2200000, Rejected
+883,4, Graduate, No,500000,1300000,8,471,500000,300000,1500000,700000, Rejected
+884,0, Graduate, Yes,9000000,32400000,10,895,16800000,5800000,20700000,9500000, Approved
+885,1, Not Graduate, Yes,5100000,20300000,18,757,11800000,3400000,13400000,3200000, Approved
+886,2, Graduate, No,5200000,13500000,2,777,7000000,5200000,15500000,6100000, Approved
+887,5, Not Graduate, Yes,4400000,8900000,4,761,8100000,1000000,14200000,3000000, Approved
+888,1, Graduate, No,1900000,4200000,12,821,5200000,1500000,5000000,2700000, Approved
+889,4, Not Graduate, Yes,9200000,26500000,6,662,1000000,400000,26900000,5300000, Approved
+890,2, Not Graduate, Yes,4800000,16500000,10,350,2000000,6500000,11400000,2900000, Rejected
+891,4, Not Graduate, No,4900000,10700000,20,321,1200000,400000,11100000,6500000, Rejected
+892,3, Graduate, Yes,4800000,10100000,4,368,9100000,5100000,16500000,3500000, Rejected
+893,4, Graduate, No,9300000,24900000,14,455,27600000,4700000,35100000,13900000, Rejected
+894,5, Not Graduate, Yes,7500000,24600000,8,744,1600000,3600000,16700000,9300000, Approved
+895,1, Graduate, No,5900000,16800000,4,806,11200000,9700000,22800000,7100000, Approved
+896,0, Graduate, No,9400000,27900000,6,456,21400000,18500000,35600000,7800000, Rejected
+897,5, Graduate, No,5300000,13400000,8,719,1600000,200000,11400000,5300000, Approved
+898,4, Graduate, No,3700000,9000000,18,668,7800000,1600000,13400000,3100000, Approved
+899,0, Graduate, Yes,2500000,5800000,18,494,5100000,4400000,8500000,2300000, Rejected
+900,4, Not Graduate, No,2800000,10800000,2,841,700000,2600000,7100000,4100000, Approved
+901,0, Graduate, Yes,5400000,21400000,8,721,8200000,6400000,16700000,7400000, Approved
+902,5, Graduate, No,3100000,9400000,10,414,200000,5300000,8000000,2800000, Rejected
+903,5, Not Graduate, No,4800000,15500000,10,812,9500000,1500000,17800000,3500000, Approved
+904,1, Not Graduate, No,8800000,17500000,20,832,1800000,3600000,24000000,7400000, Approved
+905,2, Graduate, No,4100000,14900000,12,571,-100000,5200000,13000000,3400000, Approved
+906,5, Not Graduate, No,9700000,37000000,14,459,28700000,17900000,22800000,5600000, Rejected
+907,2, Graduate, Yes,6400000,24100000,6,592,2500000,6300000,20200000,6000000, Approved
+908,5, Graduate, No,3400000,13100000,20,527,900000,4500000,8600000,4000000, Rejected
+909,4, Not Graduate, No,3500000,10200000,12,333,7600000,6400000,8100000,3400000, Rejected
+910,3, Not Graduate, No,3200000,10000000,18,532,3300000,100000,9800000,2100000, Rejected
+911,2, Graduate, Yes,4900000,13100000,18,754,8200000,3300000,16500000,7200000, Approved
+912,0, Graduate, Yes,1300000,4800000,4,835,500000,100000,3300000,800000, Rejected
+913,4, Graduate, No,2500000,5400000,10,592,3400000,1500000,9900000,2900000, Approved
+914,0, Graduate, No,7500000,27300000,20,553,11600000,2800000,26200000,6100000, Approved
+915,2, Graduate, No,700000,2000000,8,806,1900000,1100000,2200000,400000, Approved
+916,4, Graduate, Yes,8200000,28500000,2,378,6800000,11200000,26400000,11500000, Approved
+917,1, Not Graduate, No,6900000,26200000,4,534,14500000,11900000,14900000,9400000, Approved
+918,1, Not Graduate, Yes,1500000,5900000,16,400,4200000,2400000,4800000,1500000, Rejected
+919,3, Graduate, No,6300000,18300000,18,543,1800000,9400000,17700000,3500000, Rejected
+920,0, Not Graduate, Yes,8800000,25600000,10,715,25300000,2500000,34900000,8600000, Approved
+921,4, Graduate, Yes,8900000,20700000,6,684,1100000,9200000,20400000,6700000, Approved
+922,3, Not Graduate, Yes,2100000,6100000,8,346,5500000,600000,4500000,2900000, Rejected
+923,1, Graduate, Yes,9200000,29200000,6,669,9900000,12900000,23400000,11700000, Approved
+924,2, Not Graduate, No,3600000,8000000,12,566,10500000,3000000,8900000,2700000, Approved
+925,0, Not Graduate, Yes,8600000,23600000,2,361,25800000,5300000,24700000,7500000, Rejected
+926,5, Graduate, No,3000000,8000000,6,333,3200000,400000,8200000,2200000, Rejected
+927,3, Not Graduate, Yes,5200000,16300000,8,335,9500000,7000000,13600000,7300000, Rejected
+928,3, Graduate, Yes,7200000,20400000,10,558,0,13200000,27200000,10600000, Approved
+929,1, Not Graduate, Yes,4000000,15600000,12,436,10400000,2800000,14800000,3200000, Rejected
+930,1, Not Graduate, No,2400000,5200000,2,371,6100000,3100000,8500000,1400000, Rejected
+931,2, Not Graduate, Yes,5500000,18400000,10,515,6800000,4400000,18500000,4100000, Rejected
+932,0, Not Graduate, Yes,9000000,24300000,10,599,12900000,3400000,26900000,6400000, Approved
+933,0, Not Graduate, Yes,7900000,24000000,20,728,18600000,15600000,21800000,7400000, Approved
+934,2, Not Graduate, Yes,6200000,21600000,20,679,18600000,2500000,24500000,9100000, Approved
+935,3, Graduate, Yes,7900000,29200000,4,399,23200000,5500000,30200000,6900000, Approved
+936,3, Not Graduate, No,1200000,4500000,6,819,1400000,1100000,4400000,900000, Approved
+937,1, Graduate, No,4700000,11700000,6,308,11800000,1100000,15100000,3700000, Rejected
+938,5, Graduate, Yes,5900000,15600000,2,730,12600000,4700000,15900000,5900000, Approved
+939,4, Not Graduate, Yes,1400000,5100000,14,312,4000000,1000000,3200000,1400000, Rejected
+940,3, Not Graduate, Yes,4700000,12800000,16,740,2200000,8600000,11700000,6100000, Approved
+941,5, Graduate, Yes,7600000,20000000,10,522,21500000,1400000,20400000,4300000, Rejected
+942,4, Graduate, No,7200000,16900000,4,702,15900000,7100000,22000000,9600000, Approved
+943,4, Not Graduate, Yes,1400000,4300000,16,447,3600000,1200000,5300000,1000000, Rejected
+944,5, Graduate, No,1400000,2900000,4,829,800000,600000,5400000,1600000, Approved
+945,2, Graduate, No,7900000,18500000,18,727,20200000,12400000,19600000,7100000, Approved
+946,5, Not Graduate, Yes,7600000,18700000,14,509,8500000,8500000,22200000,3700000, Rejected
+947,3, Graduate, Yes,9600000,34200000,2,745,2500000,2000000,33000000,6700000, Approved
+948,1, Not Graduate, No,2300000,6600000,18,513,4600000,900000,9000000,1600000, Rejected
+949,2, Not Graduate, No,8100000,18500000,6,372,19100000,10200000,31000000,7900000, Rejected
+950,2, Graduate, Yes,300000,700000,4,411,600000,0,1200000,100000, Rejected
+951,4, Graduate, No,4700000,10800000,20,495,11300000,6800000,17000000,4500000, Rejected
+952,5, Not Graduate, No,1100000,2500000,4,827,2400000,1000000,4100000,600000, Approved
+953,4, Not Graduate, No,8600000,25100000,6,820,14400000,5000000,26000000,8300000, Approved
+954,5, Graduate, Yes,8700000,28100000,10,660,25500000,800000,25900000,10100000, Approved
+955,0, Not Graduate, No,2200000,8600000,4,563,900000,1000000,4400000,2800000, Approved
+956,1, Not Graduate, Yes,500000,1400000,10,883,900000,0,1700000,300000, Approved
+957,0, Not Graduate, Yes,9100000,22000000,12,387,25300000,15600000,31700000,7000000, Rejected
+958,1, Graduate, No,2200000,8700000,12,613,500000,1800000,5700000,2400000, Approved
+959,0, Not Graduate, Yes,2200000,8000000,14,335,2800000,3700000,6900000,2900000, Rejected
+960,1, Graduate, Yes,9600000,34500000,2,795,9500000,900000,32000000,9300000, Approved
+961,1, Graduate, Yes,6500000,13900000,8,369,9600000,300000,17200000,8300000, Rejected
+962,4, Graduate, Yes,2400000,7400000,18,888,2700000,1600000,7600000,3200000, Approved
+963,4, Not Graduate, No,5500000,12300000,6,742,12900000,2700000,19800000,4300000, Approved
+964,0, Graduate, No,5000000,14400000,4,874,3000000,9300000,14100000,3900000, Approved
+965,1, Graduate, No,2700000,8100000,16,691,2000000,3600000,8100000,2100000, Approved
+966,3, Not Graduate, Yes,8500000,30300000,12,762,12700000,3700000,20000000,4200000, Approved
+967,1, Graduate, No,4400000,10700000,18,324,2200000,3300000,12700000,5400000, Rejected
+968,4, Not Graduate, No,500000,1800000,20,777,900000,300000,1300000,200000, Approved
+969,0, Graduate, No,8300000,21400000,2,662,6100000,12300000,24500000,10200000, Approved
+970,2, Not Graduate, Yes,6000000,13000000,12,462,2100000,2500000,14600000,5600000, Rejected
+971,3, Not Graduate, Yes,4000000,10400000,14,609,2100000,6900000,11700000,4600000, Approved
+972,5, Graduate, Yes,4400000,11700000,20,590,900000,2700000,15500000,2300000, Approved
+973,3, Graduate, Yes,4400000,15800000,18,779,7200000,5400000,14900000,3600000, Approved
+974,2, Graduate, Yes,1900000,5000000,14,641,1000000,900000,5500000,2400000, Approved
+975,0, Graduate, Yes,5000000,18400000,12,752,14600000,4000000,10500000,6500000, Approved
+976,0, Graduate, No,8000000,23700000,10,305,22200000,11600000,17200000,12000000, Rejected
+977,4, Not Graduate, No,8200000,20700000,10,546,10800000,7000000,25000000,10600000, Rejected
+978,2, Graduate, No,7000000,24200000,8,833,13700000,4100000,26100000,9100000, Approved
+979,2, Not Graduate, No,2400000,8800000,18,421,3200000,1500000,6700000,1400000, Rejected
+980,5, Graduate, No,6600000,18800000,4,639,3200000,1100000,25100000,4300000, Approved
+981,3, Graduate, No,3200000,6900000,20,735,1500000,3700000,9200000,3100000, Approved
+982,0, Not Graduate, Yes,2600000,5400000,2,377,100000,4900000,6100000,2700000, Rejected
+983,3, Not Graduate, No,6900000,15600000,20,310,4500000,3600000,20400000,4800000, Rejected
+984,4, Graduate, No,4800000,14000000,2,695,11300000,1700000,15400000,4600000, Approved
+985,1, Not Graduate, Yes,300000,1200000,4,355,700000,300000,800000,200000, Approved
+986,1, Not Graduate, Yes,4300000,14100000,12,525,2100000,1100000,14100000,5500000, Rejected
+987,5, Not Graduate, No,700000,2400000,20,330,1300000,700000,2500000,500000, Rejected
+988,5, Graduate, No,9400000,25800000,14,625,28200000,15400000,30800000,11100000, Approved
+989,3, Not Graduate, Yes,800000,2900000,10,644,600000,500000,2900000,400000, Approved
+990,5, Not Graduate, No,4400000,14900000,4,865,8200000,6200000,14900000,3500000, Approved
+991,1, Graduate, Yes,4700000,14800000,6,661,8500000,6000000,13600000,6400000, Approved
+992,2, Not Graduate, No,2300000,5000000,8,884,1400000,1700000,6100000,1500000, Approved
+993,5, Graduate, Yes,8500000,26700000,10,803,500000,16600000,24400000,9600000, Approved
+994,2, Graduate, No,7600000,28300000,12,800,19700000,14800000,15600000,7800000, Approved
+995,2, Graduate, No,3200000,12600000,18,796,6200000,3500000,9600000,2000000, Approved
+996,4, Not Graduate, No,2400000,5000000,4,716,1500000,2800000,6900000,1400000, Approved
+997,0, Graduate, Yes,500000,1100000,18,479,1500000,500000,1800000,600000, Rejected
+998,3, Not Graduate, Yes,8500000,28300000,2,810,25200000,4300000,18500000,10700000, Approved
+999,0, Graduate, Yes,8900000,20900000,18,568,18800000,700000,32700000,5300000, Approved
+1000,0, Graduate, No,2800000,5600000,8,842,0,1300000,6100000,1900000, Approved
+1001,3, Not Graduate, Yes,2900000,7000000,4,806,5700000,5600000,5900000,3000000, Approved
+1002,1, Graduate, Yes,4900000,17700000,8,722,9200000,7300000,16400000,3000000, Approved
+1003,5, Not Graduate, No,9600000,20700000,14,442,25800000,9800000,31800000,8200000, Rejected
+1004,3, Graduate, Yes,3300000,9800000,6,360,4500000,600000,11000000,4400000, Rejected
+1005,3, Not Graduate, No,2800000,5900000,4,461,1600000,400000,8900000,2800000, Rejected
+1006,2, Graduate, No,7800000,22200000,10,735,9700000,4600000,23000000,6900000, Approved
+1007,4, Graduate, Yes,2500000,8400000,12,761,6300000,1300000,8400000,1600000, Approved
+1008,0, Graduate, No,4400000,10600000,20,653,6800000,4600000,16800000,5400000, Approved
+1009,0, Not Graduate, No,7900000,30800000,4,726,5000000,14600000,23800000,5500000, Approved
+1010,1, Graduate, No,8900000,22600000,18,617,8400000,15500000,27900000,11700000, Approved
+1011,0, Graduate, No,5600000,13400000,2,460,3400000,4100000,14800000,4100000, Rejected
+1012,1, Not Graduate, No,1400000,3300000,8,306,3200000,800000,2700000,800000, Rejected
+1013,5, Graduate, Yes,500000,1400000,4,471,500000,100000,1300000,300000, Rejected
+1014,1, Graduate, Yes,5100000,15300000,4,628,6900000,3300000,17600000,2700000, Approved
+1015,3, Graduate, No,9800000,25600000,10,404,24400000,6700000,37000000,11500000, Rejected
+1016,2, Graduate, Yes,8600000,21600000,16,804,15400000,300000,26800000,7100000, Approved
+1017,3, Not Graduate, No,1600000,3900000,20,804,900000,2500000,3200000,800000, Approved
+1018,1, Not Graduate, Yes,2500000,6700000,2,502,3400000,2600000,9400000,1400000, Rejected
+1019,0, Graduate, No,9500000,22600000,6,861,24700000,13200000,29000000,5600000, Approved
+1020,2, Not Graduate, Yes,3000000,7800000,14,555,6600000,2700000,9600000,1700000, Approved
+1021,0, Not Graduate, No,5100000,13600000,18,351,1700000,3700000,14400000,7600000, Rejected
+1022,2, Not Graduate, Yes,7600000,23600000,6,358,20200000,2900000,22100000,10900000, Rejected
+1023,5, Graduate, No,8800000,18800000,14,836,17300000,10100000,32700000,5400000, Approved
+1024,4, Not Graduate, Yes,1100000,2900000,4,554,2800000,1000000,4100000,1600000, Approved
+1025,3, Graduate, No,8700000,30500000,2,443,11800000,1800000,24600000,8100000, Approved
+1026,5, Not Graduate, No,6100000,23600000,4,725,17400000,5100000,15600000,4800000, Approved
+1027,2, Not Graduate, Yes,1900000,7000000,14,818,4800000,3500000,4500000,2100000, Approved
+1028,1, Not Graduate, No,9900000,38700000,6,670,19400000,12600000,35800000,6500000, Approved
+1029,0, Graduate, No,5800000,21100000,6,414,7900000,2400000,16000000,5600000, Rejected
+1030,2, Not Graduate, Yes,9500000,37000000,8,887,21800000,18300000,19200000,11700000, Approved
+1031,3, Graduate, Yes,7900000,26600000,12,409,17100000,1400000,22500000,8700000, Rejected
+1032,1, Not Graduate, Yes,1300000,4500000,14,679,2700000,2100000,3700000,1600000, Approved
+1033,4, Graduate, Yes,700000,2600000,18,478,600000,600000,2100000,300000, Rejected
+1034,3, Graduate, No,600000,1200000,2,752,1100000,500000,2300000,700000, Approved
+1035,0, Graduate, No,9400000,33000000,4,616,15400000,5000000,25100000,7800000, Approved
+1036,2, Not Graduate, Yes,3800000,12500000,14,842,3700000,6700000,14600000,5300000, Approved
+1037,3, Graduate, Yes,7800000,26300000,20,840,1200000,11300000,24100000,5300000, Approved
+1038,3, Graduate, Yes,7800000,27700000,6,430,2000000,8000000,26100000,5300000, Rejected
+1039,4, Not Graduate, No,2700000,7000000,4,351,1100000,2300000,8300000,2700000, Rejected
+1040,5, Not Graduate, No,600000,2300000,4,347,0,0,1900000,200000, Rejected
+1041,3, Not Graduate, Yes,8000000,28800000,10,576,18800000,7500000,16300000,11900000, Approved
+1042,0, Not Graduate, Yes,4000000,11000000,8,799,4400000,6100000,14700000,4200000, Approved
+1043,1, Not Graduate, Yes,3300000,10800000,2,550,6000000,3800000,11000000,4700000, Approved
+1044,2, Graduate, No,5800000,13300000,4,878,8400000,5400000,18600000,4500000, Approved
+1045,3, Graduate, Yes,2400000,4800000,12,895,6800000,300000,7300000,3300000, Approved
+1046,4, Not Graduate, No,7600000,29700000,6,603,3200000,2900000,27800000,11000000, Approved
+1047,2, Not Graduate, Yes,2500000,6900000,12,325,5800000,1600000,6400000,3600000, Rejected
+1048,2, Graduate, No,3300000,11800000,4,393,5700000,3700000,6800000,2600000, Approved
+1049,3, Graduate, No,9800000,30300000,2,612,10700000,4600000,32100000,5600000, Approved
+1050,0, Graduate, Yes,1000000,3800000,8,553,2500000,1000000,2100000,1300000, Approved
+1051,0, Not Graduate, Yes,2500000,8800000,14,389,7300000,1400000,8500000,3600000, Rejected
+1052,0, Graduate, No,1900000,6800000,4,782,100000,3400000,4900000,2400000, Approved
+1053,3, Graduate, No,3100000,8500000,12,493,8700000,5100000,12000000,2000000, Rejected
+1054,5, Graduate, Yes,6000000,11900000,2,629,2500000,0,19200000,4200000, Approved
+1055,5, Not Graduate, No,6500000,21600000,10,419,1600000,10900000,22300000,6600000, Rejected
+1056,2, Not Graduate, Yes,5900000,15800000,2,444,14300000,4300000,20300000,5500000, Rejected
+1057,5, Not Graduate, Yes,6500000,15800000,16,301,9200000,9900000,17400000,7100000, Rejected
+1058,0, Graduate, Yes,3800000,11200000,20,479,1100000,6400000,12000000,5400000, Rejected
+1059,3, Not Graduate, Yes,3000000,11400000,10,424,1800000,4200000,10900000,1500000, Rejected
+1060,0, Graduate, No,4300000,16900000,18,469,200000,5800000,12000000,6200000, Rejected
+1061,4, Not Graduate, Yes,3500000,8300000,2,897,7900000,5500000,12600000,1800000, Approved
+1062,3, Not Graduate, No,300000,500000,2,477,700000,200000,800000,400000, Rejected
+1063,3, Not Graduate, Yes,600000,1400000,16,509,600000,300000,2400000,900000, Rejected
+1064,0, Graduate, Yes,800000,1700000,4,752,2300000,1100000,3200000,400000, Approved
+1065,0, Not Graduate, Yes,5600000,19100000,14,875,16700000,4700000,15100000,7700000, Approved
+1066,2, Not Graduate, Yes,1800000,3600000,4,343,3400000,1100000,6200000,1500000, Rejected
+1067,0, Graduate, No,6800000,20800000,20,819,16500000,11900000,26700000,8000000, Approved
+1068,2, Graduate, Yes,4200000,16800000,2,433,3300000,0,14100000,3700000, Approved
+1069,1, Not Graduate, Yes,200000,400000,6,768,300000,100000,600000,0, Approved
+1070,2, Graduate, Yes,8500000,31800000,6,714,17000000,900000,26600000,5600000, Approved
+1071,2, Not Graduate, Yes,2800000,10100000,16,531,2900000,2900000,7200000,4100000, Rejected
+1072,0, Graduate, Yes,3600000,8600000,6,529,3500000,3300000,11300000,5200000, Rejected
+1073,1, Not Graduate, No,6200000,19500000,20,448,3300000,7100000,22400000,8000000, Rejected
+1074,1, Graduate, No,2700000,10000000,2,584,6500000,2700000,7700000,3400000, Approved
+1075,1, Graduate, No,6800000,22900000,4,501,3900000,9400000,17300000,4400000, Approved
+1076,2, Not Graduate, No,6300000,24500000,18,848,10200000,3500000,18200000,8200000, Approved
+1077,4, Not Graduate, No,8800000,19100000,6,586,17600000,8800000,20600000,12400000, Approved
+1078,1, Graduate, No,5900000,13000000,2,386,16300000,5000000,12000000,3800000, Rejected
+1079,5, Not Graduate, Yes,9800000,37900000,18,301,6700000,4900000,34300000,6200000, Rejected
+1080,2, Graduate, No,3300000,8300000,6,653,4700000,3100000,8300000,4600000, Approved
+1081,4, Graduate, Yes,300000,500000,14,448,700000,100000,800000,100000, Rejected
+1082,1, Not Graduate, Yes,4800000,11600000,16,696,1400000,9400000,11800000,6500000, Approved
+1083,1, Graduate, No,7500000,28300000,16,707,9700000,1100000,16300000,6700000, Approved
+1084,2, Not Graduate, No,8600000,21700000,4,429,5500000,10800000,30900000,6000000, Rejected
+1085,4, Not Graduate, No,8900000,21100000,6,631,4200000,200000,25800000,6200000, Approved
+1086,5, Not Graduate, Yes,9600000,29600000,4,446,22900000,3500000,36600000,13200000, Approved
+1087,0, Graduate, Yes,7700000,18100000,18,705,6100000,5100000,23800000,6300000, Approved
+1088,3, Not Graduate, Yes,7000000,15200000,2,709,10300000,12500000,20700000,4000000, Approved
+1089,4, Not Graduate, Yes,7800000,19500000,14,739,1900000,9000000,20400000,4400000, Approved
+1090,3, Graduate, No,5100000,11000000,6,336,-100000,5800000,11600000,7500000, Rejected
+1091,4, Graduate, No,9400000,32600000,4,898,18200000,4000000,22000000,10200000, Approved
+1092,4, Not Graduate, Yes,600000,2100000,6,558,1300000,1000000,2200000,300000, Approved
+1093,3, Graduate, No,5100000,13300000,4,589,11200000,2700000,20200000,6100000, Approved
+1094,2, Graduate, Yes,3800000,14400000,2,301,2300000,1400000,7600000,2400000, Rejected
+1095,2, Not Graduate, Yes,5300000,21200000,14,516,2200000,5000000,20900000,7700000, Rejected
+1096,5, Not Graduate, No,1100000,3600000,12,315,1300000,700000,3100000,1400000, Rejected
+1097,3, Not Graduate, No,6400000,14400000,10,546,10600000,10000000,21200000,5100000, Rejected
+1098,0, Not Graduate, Yes,5100000,14500000,14,559,11000000,1100000,12300000,6000000, Approved
+1099,3, Graduate, Yes,5300000,16900000,2,350,15800000,3100000,14300000,6800000, Approved
+1100,1, Graduate, No,6700000,18700000,8,583,9300000,4100000,17100000,6900000, Approved
+1101,2, Not Graduate, No,4000000,9400000,8,874,4400000,3700000,10200000,4800000, Approved
+1102,2, Not Graduate, Yes,3900000,11600000,8,808,5800000,3100000,12900000,5000000, Approved
+1103,1, Graduate, Yes,1600000,4900000,16,487,4300000,1100000,3900000,2000000, Rejected
+1104,3, Graduate, No,2700000,7800000,14,870,5400000,5300000,5700000,2100000, Approved
+1105,3, Graduate, No,1400000,3800000,8,840,1700000,200000,5300000,1500000, Approved
+1106,4, Not Graduate, Yes,8000000,19200000,18,682,2500000,8900000,19000000,5300000, Approved
+1107,3, Graduate, Yes,8200000,28900000,10,668,23800000,4500000,28700000,10900000, Approved
+1108,5, Graduate, Yes,4800000,10300000,8,781,4800000,6800000,11100000,4300000, Approved
+1109,4, Graduate, No,8100000,19000000,6,375,4100000,14500000,19100000,11900000, Rejected
+1110,4, Not Graduate, No,5900000,14900000,14,857,2600000,9500000,16000000,3500000, Approved
+1111,5, Graduate, Yes,8100000,32100000,6,823,18200000,1800000,24100000,6500000, Approved
+1112,0, Graduate, No,1400000,5000000,8,686,1800000,1900000,3200000,1500000, Approved
+1113,1, Graduate, No,1600000,6300000,2,721,3000000,600000,5200000,900000, Approved
+1114,4, Graduate, No,4600000,9400000,18,545,800000,2400000,11500000,6300000, Rejected
+1115,1, Not Graduate, No,2900000,8900000,6,523,900000,5600000,9700000,1800000, Rejected
+1116,2, Graduate, Yes,8600000,24900000,20,607,13600000,7600000,31800000,5400000, Approved
+1117,4, Not Graduate, No,3800000,14900000,20,428,6500000,3500000,12200000,2500000, Rejected
+1118,0, Not Graduate, No,8200000,20300000,4,666,13100000,10200000,25900000,7800000, Approved
+1119,3, Graduate, No,3200000,10100000,20,704,3400000,4800000,9000000,3900000, Approved
+1120,0, Not Graduate, Yes,8100000,23800000,10,794,5400000,15500000,20700000,8800000, Approved
+1121,1, Graduate, Yes,9800000,23300000,12,430,3200000,12600000,30500000,13900000, Rejected
+1122,0, Not Graduate, No,200000,500000,20,615,500000,200000,600000,200000, Approved
+1123,0, Not Graduate, No,6600000,14100000,20,360,6800000,5100000,25400000,7800000, Rejected
+1124,0, Not Graduate, No,9100000,18300000,14,458,6100000,9200000,34100000,10000000, Rejected
+1125,2, Not Graduate, No,5500000,20400000,12,887,8800000,9400000,12300000,3300000, Approved
+1126,4, Not Graduate, No,7200000,27400000,8,735,14100000,14200000,19400000,9500000, Approved
+1127,1, Not Graduate, No,2400000,5600000,16,379,3700000,600000,7200000,3400000, Rejected
+1128,4, Graduate, No,9600000,25500000,20,544,4000000,11400000,23800000,11100000, Rejected
+1129,1, Graduate, Yes,5800000,16700000,12,721,1100000,9700000,17200000,7500000, Approved
+1130,4, Not Graduate, No,2300000,6000000,8,676,6000000,400000,4800000,2200000, Approved
+1131,1, Not Graduate, No,300000,1200000,4,342,800000,100000,1100000,200000, Approved
+1132,0, Not Graduate, No,9900000,27000000,16,566,3500000,17300000,36900000,11500000, Approved
+1133,2, Not Graduate, No,3500000,14000000,2,355,8700000,1600000,11800000,2900000, Approved
+1134,2, Graduate, No,4800000,18500000,20,605,5700000,5500000,14700000,5800000, Approved
+1135,2, Not Graduate, No,1600000,5200000,16,525,300000,2900000,5600000,1600000, Rejected
+1136,5, Graduate, Yes,800000,2500000,12,403,500000,0,3200000,800000, Rejected
+1137,1, Graduate, Yes,9000000,33500000,18,727,18800000,10500000,28100000,5300000, Approved
+1138,1, Graduate, No,8300000,28900000,12,529,18300000,3900000,32500000,5800000, Rejected
+1139,4, Graduate, No,2800000,6100000,18,415,2200000,4200000,8400000,2000000, Rejected
+1140,1, Graduate, Yes,6400000,17300000,10,879,10000000,1100000,15400000,8200000, Approved
+1141,2, Not Graduate, Yes,6000000,12600000,16,649,4800000,5300000,23900000,5100000, Approved
+1142,0, Graduate, No,2900000,9800000,16,395,5400000,4300000,8600000,2400000, Rejected
+1143,0, Graduate, No,6500000,24100000,20,488,3300000,6000000,22900000,9700000, Rejected
+1144,1, Graduate, Yes,200000,400000,8,569,200000,200000,700000,300000, Approved
+1145,1, Not Graduate, No,8400000,24600000,14,817,1800000,13100000,31300000,8200000, Approved
+1146,1, Graduate, Yes,6100000,17800000,20,706,16000000,10900000,16900000,4300000, Approved
+1147,2, Graduate, Yes,8000000,31200000,8,553,6800000,3500000,21000000,10300000, Approved
+1148,5, Not Graduate, Yes,900000,1800000,14,464,2300000,300000,1800000,700000, Rejected
+1149,2, Graduate, No,7300000,20000000,6,729,13100000,10700000,17900000,9100000, Approved
+1150,4, Not Graduate, Yes,3700000,7400000,12,363,4800000,6800000,10500000,4400000, Rejected
+1151,2, Graduate, No,5200000,17200000,12,565,3500000,1300000,20000000,6300000, Approved
+1152,1, Graduate, No,7200000,21000000,14,421,3500000,11600000,21800000,4600000, Rejected
+1153,0, Not Graduate, Yes,9400000,34200000,10,512,13100000,15600000,32600000,6300000, Rejected
+1154,3, Not Graduate, Yes,3400000,12400000,2,730,2500000,3900000,12200000,4600000, Approved
+1155,0, Graduate, No,600000,2300000,8,627,1800000,500000,2200000,300000, Approved
+1156,0, Not Graduate, Yes,3300000,10000000,16,434,3000000,4100000,12900000,4100000, Rejected
+1157,2, Graduate, Yes,5900000,14300000,2,410,11900000,4400000,16900000,4100000, Rejected
+1158,3, Not Graduate, No,1300000,3600000,16,624,2400000,2300000,3300000,1900000, Approved
+1159,4, Graduate, Yes,5700000,16900000,4,656,13000000,7400000,22000000,8400000, Approved
+1160,2, Not Graduate, No,7700000,27300000,16,758,7300000,4600000,24800000,9100000, Approved
+1161,4, Not Graduate, Yes,7000000,23500000,18,336,15000000,9500000,19700000,7800000, Rejected
+1162,5, Graduate, No,8100000,21900000,18,378,5200000,3400000,16200000,9600000, Rejected
+1163,1, Graduate, Yes,1900000,4200000,4,620,4700000,2800000,7500000,900000, Approved
+1164,2, Graduate, No,4500000,9100000,18,593,-100000,600000,12400000,2500000, Approved
+1165,0, Not Graduate, Yes,9600000,34000000,12,710,23800000,10300000,38100000,7800000, Approved
+1166,1, Not Graduate, Yes,5400000,20700000,8,753,1900000,800000,19000000,3600000, Approved
+1167,1, Not Graduate, Yes,7800000,27200000,16,454,16100000,3400000,17100000,11400000, Rejected
+1168,1, Graduate, Yes,8200000,19100000,8,619,17200000,12200000,31500000,6600000, Approved
+1169,2, Graduate, No,8900000,28500000,6,367,22200000,16600000,21500000,9300000, Rejected
+1170,1, Graduate, No,1400000,3100000,20,384,200000,1200000,4200000,1800000, Rejected
+1171,2, Graduate, No,1700000,5900000,16,610,3100000,300000,3700000,1300000, Approved
+1172,0, Graduate, No,5300000,19500000,12,802,9800000,3300000,15200000,3200000, Approved
+1173,3, Graduate, No,6500000,25200000,10,858,15400000,10900000,14000000,8100000, Approved
+1174,2, Graduate, No,5900000,14000000,8,599,4700000,9500000,17800000,6700000, Approved
+1175,4, Graduate, Yes,9800000,27000000,2,395,18700000,3000000,23000000,9700000, Rejected
+1176,3, Graduate, Yes,7700000,16200000,6,380,11500000,15100000,22500000,6400000, Rejected
+1177,1, Graduate, No,7900000,27100000,10,803,20000000,9800000,22200000,6600000, Approved
+1178,4, Graduate, No,3500000,8900000,20,809,7100000,1500000,13700000,3200000, Approved
+1179,4, Not Graduate, No,2400000,6600000,2,722,6100000,3300000,5600000,3000000, Approved
+1180,5, Graduate, No,9900000,35700000,10,392,7900000,4300000,39200000,13000000, Rejected
+1181,0, Graduate, No,3900000,14500000,8,545,5900000,3000000,10300000,3400000, Rejected
+1182,2, Not Graduate, Yes,7300000,28500000,10,799,21500000,3100000,15800000,4300000, Approved
+1183,0, Graduate, Yes,6400000,21900000,12,727,15400000,10100000,24000000,5300000, Approved
+1184,4, Graduate, No,7100000,19800000,18,530,7100000,3400000,20900000,7100000, Rejected
+1185,2, Not Graduate, No,8800000,19000000,14,637,13700000,13900000,27100000,6100000, Approved
+1186,5, Graduate, No,7400000,21000000,4,561,21300000,3800000,26400000,3900000, Approved
+1187,2, Not Graduate, No,4400000,12000000,20,421,9300000,2700000,15700000,3400000, Rejected
+1188,3, Graduate, Yes,8600000,30300000,14,459,12000000,4100000,23800000,9100000, Rejected
+1189,3, Not Graduate, No,6900000,26000000,14,828,14800000,4200000,18500000,3600000, Approved
+1190,4, Graduate, No,9600000,27500000,20,679,23400000,7500000,37800000,6300000, Approved
+1191,2, Graduate, Yes,8100000,25700000,8,455,22300000,11500000,19800000,9500000, Rejected
+1192,0, Not Graduate, No,2600000,9400000,18,879,2800000,1400000,5100000,2300000, Approved
+1193,3, Graduate, Yes,9300000,26100000,14,636,4700000,16100000,34500000,11600000, Approved
+1194,2, Not Graduate, Yes,2100000,5600000,16,426,400000,300000,7100000,1200000, Rejected
+1195,4, Not Graduate, Yes,9000000,21500000,14,508,16600000,17300000,24300000,13100000, Rejected
+1196,3, Not Graduate, Yes,7000000,19200000,4,768,8600000,13700000,19200000,7700000, Approved
+1197,3, Not Graduate, No,2200000,6400000,20,667,6300000,3900000,8300000,2900000, Approved
+1198,5, Graduate, Yes,7500000,28200000,2,440,8200000,5800000,24400000,6000000, Approved
+1199,1, Graduate, Yes,8300000,16800000,2,366,22000000,6600000,27300000,4500000, Rejected
+1200,2, Not Graduate, No,300000,600000,2,383,600000,300000,1100000,400000, Rejected
+1201,0, Not Graduate, Yes,300000,800000,4,603,800000,200000,600000,200000, Approved
+1202,3, Graduate, No,3900000,14900000,4,728,4700000,4000000,14900000,5500000, Approved
+1203,0, Not Graduate, No,6600000,20300000,6,549,10800000,900000,23100000,9800000, Rejected
+1204,0, Graduate, No,4100000,10700000,8,855,11500000,700000,11200000,3100000, Approved
+1205,5, Graduate, Yes,1800000,5300000,12,461,2800000,2000000,4700000,2000000, Rejected
+1206,3, Not Graduate, Yes,7000000,16100000,16,379,2000000,5200000,23000000,10000000, Rejected
+1207,2, Not Graduate, Yes,5100000,13700000,6,559,7800000,9800000,12700000,5100000, Approved
+1208,1, Not Graduate, Yes,300000,600000,8,816,600000,300000,1100000,200000, Approved
+1209,4, Not Graduate, Yes,4300000,11400000,2,560,10000000,3900000,8900000,3300000, Approved
+1210,0, Graduate, Yes,3200000,12000000,14,645,5200000,1400000,12100000,3400000, Approved
+1211,4, Not Graduate, Yes,4200000,11500000,6,551,10600000,7600000,11300000,5000000, Approved
+1212,0, Not Graduate, Yes,9600000,22900000,8,515,4300000,14700000,33300000,7800000, Rejected
+1213,4, Graduate, No,1300000,3600000,10,657,3200000,1900000,2900000,1100000, Approved
+1214,3, Not Graduate, No,2400000,9300000,2,682,3100000,4400000,5200000,1500000, Approved
+1215,0, Graduate, No,600000,1600000,10,588,1600000,100000,1100000,300000, Approved
+1216,5, Graduate, Yes,9600000,38000000,10,359,2100000,13600000,38200000,9400000, Rejected
+1217,0, Graduate, No,400000,1200000,4,766,900000,300000,1200000,300000, Approved
+1218,4, Graduate, No,5900000,19900000,14,469,14200000,6800000,22100000,3200000, Rejected
+1219,0, Graduate, Yes,700000,1400000,10,618,1300000,200000,1700000,500000, Approved
+1220,0, Not Graduate, Yes,8600000,17700000,20,711,22000000,0,30800000,7400000, Approved
+1221,0, Graduate, Yes,9000000,34000000,4,549,2000000,8900000,20000000,12400000, Approved
+1222,3, Graduate, Yes,5100000,20400000,6,754,1700000,2600000,11800000,7600000, Approved
+1223,4, Not Graduate, Yes,500000,1500000,6,461,1300000,500000,1700000,200000, Rejected
+1224,2, Graduate, No,1600000,3800000,10,837,3800000,1100000,5500000,1600000, Approved
+1225,0, Graduate, Yes,9800000,23900000,14,459,1000000,13400000,21100000,7200000, Rejected
+1226,4, Graduate, No,7800000,29700000,20,614,22000000,700000,26800000,6300000, Approved
+1227,4, Not Graduate, No,6500000,24000000,16,373,5600000,5100000,15600000,6700000, Rejected
+1228,5, Graduate, Yes,7500000,26500000,12,512,16500000,2900000,23700000,6000000, Rejected
+1229,4, Graduate, Yes,8900000,23400000,18,781,16500000,3100000,24900000,5800000, Approved
+1230,4, Graduate, Yes,1800000,5800000,14,305,600000,3300000,3600000,2000000, Rejected
+1231,1, Not Graduate, Yes,7600000,27800000,6,447,1300000,700000,20100000,10900000, Rejected
+1232,4, Graduate, Yes,1200000,4600000,6,757,1900000,200000,4800000,1500000, Approved
+1233,5, Graduate, Yes,2700000,10400000,2,723,2800000,700000,10300000,1400000, Approved
+1234,1, Not Graduate, Yes,4600000,10900000,12,463,1200000,1200000,10900000,6600000, Rejected
+1235,2, Not Graduate, No,6900000,18700000,10,699,12800000,5700000,21200000,5200000, Approved
+1236,4, Graduate, Yes,8400000,25200000,2,308,8100000,9300000,27700000,10500000, Approved
+1237,0, Graduate, No,300000,500000,18,702,300000,400000,1200000,100000, Approved
+1238,2, Not Graduate, Yes,9500000,37500000,4,456,10200000,16800000,34100000,12900000, Approved
+1239,3, Graduate, Yes,1900000,5900000,8,651,700000,2100000,6200000,1500000, Approved
+1240,3, Not Graduate, No,4200000,14500000,20,840,4500000,5900000,8900000,4600000, Approved
+1241,4, Graduate, Yes,2200000,7900000,18,848,5100000,1700000,8500000,1600000, Approved
+1242,5, Graduate, Yes,7100000,19700000,4,727,7700000,12900000,23600000,5800000, Approved
+1243,4, Graduate, No,3500000,11600000,10,335,6300000,5200000,10300000,2300000, Rejected
+1244,5, Not Graduate, No,400000,800000,18,304,900000,500000,1400000,400000, Rejected
+1245,2, Graduate, Yes,8800000,34400000,2,712,10500000,12500000,29300000,5900000, Approved
+1246,0, Not Graduate, No,1800000,6600000,10,737,5000000,2000000,6000000,1500000, Approved
+1247,1, Graduate, Yes,7600000,29300000,14,690,13900000,4000000,30000000,9100000, Approved
+1248,1, Graduate, Yes,1000000,3200000,4,888,2000000,1500000,2200000,1300000, Approved
+1249,2, Not Graduate, Yes,8200000,27200000,10,839,9200000,6400000,25500000,6000000, Approved
+1250,5, Not Graduate, Yes,3600000,12400000,8,333,8800000,1000000,10700000,4000000, Rejected
+1251,5, Graduate, No,9400000,23700000,18,862,21500000,3500000,22400000,5600000, Approved
+1252,5, Not Graduate, No,2600000,9100000,4,309,6400000,1400000,5900000,3400000, Approved
+1253,5, Not Graduate, No,9500000,30700000,10,823,16300000,3700000,30300000,13100000, Approved
+1254,0, Graduate, Yes,3500000,11700000,14,649,2700000,700000,11400000,4800000, Approved
+1255,5, Not Graduate, Yes,9800000,35700000,10,726,9400000,18900000,31200000,12000000, Approved
+1256,4, Graduate, No,800000,3100000,18,712,400000,700000,1900000,1100000, Approved
+1257,0, Not Graduate, No,9700000,37300000,20,701,12100000,16200000,24100000,10500000, Approved
+1258,3, Graduate, No,6200000,21300000,12,655,6500000,11600000,19200000,5000000, Approved
+1259,1, Not Graduate, Yes,4400000,16600000,18,385,800000,5300000,13400000,5100000, Rejected
+1260,2, Graduate, No,1800000,3800000,4,777,5100000,2700000,4600000,1400000, Approved
+1261,3, Graduate, No,1700000,5300000,14,696,300000,700000,4500000,800000, Approved
+1262,3, Graduate, No,3900000,14100000,16,496,2500000,2200000,13700000,2900000, Rejected
+1263,2, Graduate, Yes,2200000,7900000,6,659,3400000,1800000,8600000,2400000, Approved
+1264,3, Not Graduate, Yes,6300000,17700000,2,542,16800000,900000,16400000,5300000, Rejected
+1265,2, Not Graduate, No,2200000,8700000,18,729,3900000,3300000,7600000,1300000, Approved
+1266,1, Graduate, No,8100000,28400000,6,744,20300000,10500000,21800000,7700000, Approved
+1267,4, Not Graduate, No,6800000,17000000,2,749,18000000,3800000,27100000,9400000, Approved
+1268,0, Graduate, No,4700000,14800000,20,755,12300000,5000000,15400000,3700000, Approved
+1269,3, Graduate, Yes,2200000,5300000,2,506,1600000,1700000,5800000,2800000, Rejected
+1270,3, Graduate, Yes,3500000,13000000,6,391,6100000,3500000,13300000,4300000, Rejected
+1271,1, Not Graduate, Yes,3500000,11600000,10,898,3100000,2700000,9000000,4500000, Approved
+1272,5, Not Graduate, No,500000,1500000,12,527,100000,600000,1100000,200000, Rejected
+1273,5, Not Graduate, No,9900000,35800000,20,470,9500000,18400000,39100000,14700000, Rejected
+1274,1, Graduate, No,8400000,25000000,12,694,5300000,14900000,23000000,7700000, Approved
+1275,1, Graduate, No,5000000,18800000,14,325,13100000,5700000,12800000,4300000, Rejected
+1276,4, Not Graduate, Yes,5500000,13400000,10,880,300000,800000,19900000,2800000, Approved
+1277,5, Graduate, Yes,3000000,11900000,14,459,6000000,4800000,11700000,4200000, Rejected
+1278,3, Not Graduate, Yes,9400000,21400000,10,323,5100000,15500000,29600000,11300000, Rejected
+1279,4, Graduate, No,7600000,29000000,8,739,22100000,8100000,22100000,8800000, Approved
+1280,0, Not Graduate, Yes,5500000,16300000,10,724,11900000,1500000,11900000,6200000, Approved
+1281,1, Graduate, No,3100000,7400000,18,487,8400000,1200000,9200000,4500000, Rejected
+1282,3, Graduate, No,7700000,27700000,4,439,13900000,7500000,27100000,6200000, Approved
+1283,2, Graduate, No,9800000,25400000,2,655,19900000,4600000,21300000,7900000, Approved
+1284,3, Not Graduate, No,3200000,9200000,14,443,3300000,1100000,7200000,4500000, Rejected
+1285,2, Graduate, No,700000,2600000,20,489,100000,200000,2400000,900000, Rejected
+1286,4, Not Graduate, Yes,3100000,8600000,14,427,3100000,3800000,9900000,3700000, Rejected
+1287,0, Graduate, Yes,4500000,10500000,20,417,9800000,2000000,9600000,5800000, Rejected
+1288,5, Not Graduate, Yes,8900000,24800000,18,842,16200000,5000000,20000000,8100000, Approved
+1289,3, Not Graduate, No,5900000,23200000,2,307,15500000,10000000,21100000,6300000, Approved
+1290,2, Not Graduate, No,1500000,4500000,18,428,4500000,1200000,5600000,1100000, Rejected
+1291,4, Not Graduate, Yes,6300000,15200000,16,415,15500000,1800000,20700000,7900000, Rejected
+1292,3, Not Graduate, Yes,6500000,18200000,20,405,10400000,2800000,21300000,6700000, Rejected
+1293,4, Graduate, No,8000000,31500000,18,683,10300000,7900000,30100000,9600000, Approved
+1294,1, Graduate, Yes,3300000,10600000,14,742,300000,600000,8400000,4500000, Approved
+1295,4, Not Graduate, No,3900000,10000000,10,530,10900000,200000,12300000,1900000, Rejected
+1296,3, Graduate, No,1600000,3500000,10,844,4500000,2200000,5200000,1600000, Approved
+1297,2, Not Graduate, Yes,3900000,13900000,18,715,5000000,5600000,9900000,2100000, Approved
+1298,3, Graduate, Yes,8000000,26300000,12,476,21700000,6600000,16400000,9000000, Rejected
+1299,2, Graduate, No,2200000,4800000,6,721,1800000,100000,6900000,2200000, Approved
+1300,4, Not Graduate, No,7600000,30300000,12,339,20400000,8000000,22200000,5800000, Rejected
+1301,5, Not Graduate, Yes,2700000,6800000,6,461,4500000,2000000,8200000,1700000, Rejected
+1302,2, Graduate, Yes,6300000,23200000,12,556,7000000,8300000,24200000,5300000, Approved
+1303,3, Not Graduate, No,7700000,18700000,8,483,15100000,5600000,24600000,10200000, Rejected
+1304,2, Graduate, No,4500000,17200000,18,406,4100000,6300000,13800000,3300000, Rejected
+1305,2, Graduate, Yes,9400000,24800000,14,513,24200000,18200000,37200000,7500000, Rejected
+1306,0, Not Graduate, No,4600000,12600000,16,574,3400000,6200000,15100000,3600000, Approved
+1307,0, Graduate, Yes,5200000,15700000,6,692,3800000,7000000,12800000,5500000, Approved
+1308,5, Graduate, Yes,8000000,29800000,18,867,17700000,14100000,22800000,9200000, Approved
+1309,1, Not Graduate, Yes,9900000,38500000,2,875,19600000,2900000,20200000,6500000, Approved
+1310,4, Graduate, Yes,8500000,18600000,10,597,16600000,3200000,21000000,11600000, Approved
+1311,2, Graduate, Yes,4900000,12000000,20,513,14200000,8100000,18300000,4800000, Rejected
+1312,3, Graduate, Yes,7000000,24200000,2,354,18200000,7000000,15900000,7900000, Approved
+1313,2, Not Graduate, No,9600000,25900000,18,647,11800000,9900000,35600000,11500000, Approved
+1314,1, Graduate, No,9700000,23700000,6,875,11500000,14400000,38100000,10400000, Approved
+1315,1, Graduate, No,6200000,14300000,20,819,7500000,11700000,16700000,4300000, Approved
+1316,4, Not Graduate, Yes,4100000,9600000,10,521,11900000,7100000,14100000,4900000, Rejected
+1317,0, Graduate, Yes,6100000,19900000,20,761,4500000,3700000,12700000,7100000, Approved
+1318,0, Graduate, No,700000,1900000,18,572,1400000,1000000,2000000,300000, Approved
+1319,3, Graduate, No,6400000,24100000,12,571,19000000,11500000,13200000,7500000, Approved
+1320,4, Graduate, Yes,3800000,7800000,20,891,4600000,7000000,14300000,3300000, Approved
+1321,1, Not Graduate, No,4900000,14800000,12,895,8600000,8200000,18300000,5200000, Approved
+1322,2, Graduate, No,2100000,6600000,20,580,3800000,4100000,6200000,2100000, Approved
+1323,2, Graduate, No,6200000,23400000,8,605,10000000,10800000,21800000,9200000, Approved
+1324,4, Not Graduate, No,1600000,5100000,8,705,2400000,800000,5100000,1900000, Approved
+1325,1, Not Graduate, Yes,1300000,5000000,20,423,900000,800000,3900000,1600000, Rejected
+1326,5, Not Graduate, Yes,7300000,22500000,2,846,9800000,4700000,20300000,5700000, Approved
+1327,2, Not Graduate, No,2100000,5000000,4,542,700000,600000,6600000,3100000, Rejected
+1328,5, Not Graduate, No,600000,2400000,18,631,600000,300000,2100000,900000, Approved
+1329,4, Graduate, No,7000000,24500000,18,318,4300000,1700000,16300000,3600000, Rejected
+1330,1, Not Graduate, Yes,3000000,6800000,10,541,5800000,5700000,10700000,2900000, Rejected
+1331,1, Graduate, No,900000,2900000,20,782,0,1500000,3500000,800000, Approved
+1332,2, Graduate, No,9600000,35000000,2,888,12600000,6500000,37900000,5800000, Approved
+1333,0, Graduate, No,1500000,3600000,14,747,200000,1400000,3000000,1200000, Approved
+1334,0, Graduate, Yes,5000000,18900000,6,641,4300000,8500000,19600000,6700000, Approved
+1335,3, Graduate, Yes,500000,1700000,4,640,400000,700000,1300000,200000, Approved
+1336,4, Not Graduate, No,7600000,28100000,12,324,12500000,8500000,19900000,11100000, Rejected
+1337,4, Graduate, No,5500000,21200000,20,359,4200000,5300000,18600000,6400000, Rejected
+1338,0, Not Graduate, Yes,6600000,23300000,12,338,2400000,800000,18900000,9300000, Rejected
+1339,0, Graduate, No,1400000,3200000,14,384,3100000,800000,3400000,2000000, Rejected
+1340,5, Not Graduate, Yes,8800000,26600000,16,545,19100000,16600000,30400000,7600000, Rejected
+1341,5, Not Graduate, No,6200000,24200000,18,610,10200000,7800000,19600000,8300000, Approved
+1342,2, Graduate, Yes,8300000,27900000,18,840,12600000,3500000,19100000,9200000, Approved
+1343,3, Not Graduate, No,2400000,8100000,6,630,5100000,2900000,9100000,2300000, Approved
+1344,1, Graduate, No,9100000,31200000,4,508,12800000,11700000,31100000,7800000, Approved
+1345,0, Not Graduate, Yes,9500000,34900000,4,535,800000,14100000,25600000,14000000, Approved
+1346,1, Graduate, No,1200000,3400000,20,717,3100000,1500000,2500000,900000, Approved
+1347,2, Graduate, Yes,7700000,19300000,8,735,1200000,1900000,23800000,10400000, Approved
+1348,5, Graduate, Yes,7800000,22000000,20,528,5800000,8800000,24700000,4900000, Rejected
+1349,0, Graduate, Yes,9400000,20000000,4,350,3300000,1400000,37200000,4700000, Rejected
+1350,0, Not Graduate, No,1700000,5700000,12,422,3400000,1100000,6500000,900000, Rejected
+1351,5, Graduate, No,4000000,13700000,6,496,-100000,1400000,15800000,3700000, Rejected
+1352,4, Not Graduate, No,4200000,15500000,18,794,7300000,700000,13400000,2200000, Approved
+1353,2, Graduate, No,2400000,7700000,6,719,6000000,1700000,6700000,1600000, Approved
+1354,3, Not Graduate, Yes,2700000,6100000,14,630,3900000,2800000,10600000,2300000, Approved
+1355,3, Not Graduate, Yes,600000,1800000,4,843,1400000,300000,1700000,400000, Approved
+1356,2, Graduate, No,4600000,15600000,2,764,7700000,1500000,16000000,5800000, Approved
+1357,3, Graduate, No,7200000,17700000,4,662,13100000,11500000,16300000,5300000, Approved
+1358,0, Not Graduate, No,4700000,15500000,16,311,12800000,200000,17500000,2700000, Rejected
+1359,4, Not Graduate, No,4300000,10100000,2,606,9900000,1800000,8900000,5500000, Approved
+1360,5, Graduate, No,4700000,10200000,16,874,10800000,7700000,11100000,7000000, Approved
+1361,4, Not Graduate, Yes,8700000,30000000,4,370,17600000,15600000,34600000,12100000, Approved
+1362,1, Graduate, No,7000000,20500000,10,414,19700000,7500000,20700000,5100000, Rejected
+1363,2, Not Graduate, No,600000,1100000,10,800,1200000,200000,2300000,900000, Approved
+1364,1, Not Graduate, No,6800000,16900000,12,779,13800000,10200000,23400000,4400000, Approved
+1365,1, Not Graduate, No,6400000,14100000,20,553,11700000,4500000,20000000,3600000, Approved
+1366,4, Not Graduate, No,7600000,29900000,18,445,4800000,13900000,18400000,5700000, Rejected
+1367,3, Not Graduate, No,9000000,21400000,8,496,16400000,7300000,31800000,12500000, Rejected
+1368,0, Graduate, Yes,2400000,5900000,10,650,5100000,3700000,5300000,2300000, Approved
+1369,3, Not Graduate, No,6800000,17900000,6,783,20000000,9800000,23600000,5500000, Approved
+1370,5, Graduate, Yes,3500000,13500000,10,535,3100000,5700000,12500000,3100000, Rejected
+1371,4, Graduate, Yes,8900000,34000000,20,415,13500000,3100000,33600000,12800000, Rejected
+1372,0, Not Graduate, No,6000000,15300000,8,709,8900000,1700000,16400000,3500000, Approved
+1373,3, Not Graduate, No,700000,2500000,14,819,1600000,1000000,2100000,900000, Approved
+1374,0, Not Graduate, Yes,6800000,17300000,18,841,10500000,8600000,16000000,8700000, Approved
+1375,4, Not Graduate, Yes,5300000,10700000,12,700,15800000,1900000,20500000,2900000, Approved
+1376,1, Graduate, Yes,1400000,4200000,4,881,2800000,1200000,5100000,1300000, Approved
+1377,2, Graduate, Yes,1400000,4600000,4,804,1900000,2200000,5200000,700000, Approved
+1378,4, Not Graduate, No,9200000,21700000,6,653,22700000,4600000,29400000,8600000, Approved
+1379,1, Graduate, Yes,7900000,29200000,2,663,19600000,12100000,28600000,10100000, Approved
+1380,0, Not Graduate, No,4500000,17500000,10,495,10300000,3500000,9700000,6200000, Rejected
+1381,1, Not Graduate, No,3800000,9800000,8,335,100000,5100000,14200000,1800000, Rejected
+1382,5, Graduate, Yes,1500000,4900000,6,618,3400000,1000000,3200000,900000, Approved
+1383,3, Not Graduate, No,1200000,2400000,12,480,3000000,100000,3100000,1700000, Rejected
+1384,4, Not Graduate, No,1700000,4900000,18,843,4800000,2200000,6200000,1800000, Approved
+1385,4, Graduate, No,5200000,14100000,16,483,11800000,800000,19200000,2700000, Rejected
+1386,1, Not Graduate, No,1600000,5100000,12,548,2200000,2700000,3600000,800000, Rejected
+1387,4, Graduate, Yes,6600000,16000000,16,379,6500000,12600000,24700000,4500000, Rejected
+1388,5, Not Graduate, Yes,9400000,26600000,20,771,10200000,12600000,36900000,11700000, Approved
+1389,4, Graduate, Yes,300000,500000,2,353,600000,100000,1200000,400000, Rejected
+1390,5, Not Graduate, No,4600000,11500000,16,668,6500000,3100000,10200000,5500000, Approved
+1391,3, Not Graduate, Yes,6100000,21300000,2,387,7100000,3100000,16300000,4100000, Approved
+1392,0, Not Graduate, Yes,1500000,4100000,12,789,3600000,1600000,5800000,1300000, Approved
+1393,0, Graduate, Yes,400000,900000,2,855,-100000,500000,1300000,400000, Approved
+1394,0, Not Graduate, No,8700000,33600000,14,751,7100000,13700000,22800000,7000000, Approved
+1395,3, Not Graduate, No,7000000,21600000,12,739,1600000,7600000,24500000,8400000, Approved
+1396,4, Graduate, No,4700000,13100000,14,492,1000000,4500000,14100000,6400000, Rejected
+1397,4, Not Graduate, Yes,7600000,23800000,16,896,3700000,4500000,15400000,6400000, Approved
+1398,1, Not Graduate, Yes,9200000,24500000,4,545,25700000,0,20600000,13300000, Rejected
+1399,5, Not Graduate, No,9400000,36800000,20,891,13900000,16600000,19300000,8900000, Approved
+1400,0, Graduate, No,4800000,15100000,6,848,1300000,300000,18800000,3500000, Approved
+1401,3, Not Graduate, Yes,600000,2400000,12,884,600000,800000,1400000,600000, Approved
+1402,3, Graduate, Yes,4900000,14300000,14,439,10300000,5600000,17400000,5100000, Rejected
+1403,3, Graduate, Yes,3300000,8500000,12,586,7500000,5100000,7800000,3900000, Approved
+1404,3, Graduate, Yes,9100000,18800000,20,308,14500000,10200000,20500000,4800000, Rejected
+1405,5, Graduate, No,6100000,23500000,16,300,300000,700000,22800000,4800000, Rejected
+1406,3, Graduate, Yes,8400000,19600000,2,741,21500000,200000,18700000,8300000, Approved
+1407,4, Graduate, No,7900000,31400000,8,698,16500000,11400000,28700000,5100000, Approved
+1408,2, Not Graduate, Yes,6100000,22300000,10,733,12100000,9700000,17200000,5600000, Approved
+1409,3, Not Graduate, Yes,2000000,4200000,16,571,1700000,3900000,5800000,1300000, Approved
+1410,3, Graduate, Yes,9900000,29900000,20,490,10500000,9100000,27100000,7400000, Rejected
+1411,2, Not Graduate, No,9500000,25400000,16,451,19000000,2900000,33800000,11400000, Rejected
+1412,4, Graduate, Yes,1900000,6800000,6,559,3600000,2200000,6200000,1200000, Approved
+1413,4, Graduate, Yes,6900000,21400000,10,577,12500000,2200000,14900000,6300000, Approved
+1414,2, Not Graduate, Yes,1500000,5000000,4,613,4400000,1300000,5200000,2100000, Approved
+1415,4, Not Graduate, No,1900000,3800000,20,785,1000000,600000,6100000,1500000, Approved
+1416,0, Graduate, Yes,2300000,6000000,8,690,5500000,2900000,6000000,2000000, Approved
+1417,2, Not Graduate, No,7800000,17100000,14,351,19000000,7200000,19300000,7100000, Rejected
+1418,4, Not Graduate, No,400000,1000000,10,447,0,300000,900000,300000, Rejected
+1419,0, Graduate, Yes,9400000,19200000,20,708,21200000,16300000,23400000,13200000, Approved
+1420,2, Graduate, No,9100000,21700000,12,549,25500000,11000000,34700000,12200000, Rejected
+1421,1, Graduate, Yes,9000000,18800000,8,797,4100000,9400000,22900000,7500000, Approved
+1422,4, Not Graduate, No,7100000,14300000,14,537,13700000,10400000,18200000,6100000, Rejected
+1423,3, Graduate, No,800000,2500000,12,828,1700000,0,1500000,700000, Approved
+1424,0, Graduate, Yes,4500000,9600000,14,471,3200000,7700000,11000000,3600000, Rejected
+1425,5, Graduate, No,8500000,25400000,4,336,8500000,1200000,30600000,9000000, Rejected
+1426,3, Not Graduate, Yes,2500000,9800000,16,424,4700000,3200000,5800000,1300000, Rejected
+1427,2, Graduate, No,1500000,3300000,18,440,800000,2300000,3000000,1800000, Rejected
+1428,0, Not Graduate, No,6200000,17300000,8,583,3700000,3900000,13600000,3300000, Approved
+1429,1, Not Graduate, Yes,1300000,2900000,6,480,2900000,300000,2900000,1400000, Rejected
+1430,5, Not Graduate, No,6600000,25800000,10,670,4600000,7200000,20600000,8500000, Approved
+1431,0, Graduate, Yes,5300000,13700000,6,329,8800000,7600000,11200000,2800000, Rejected
+1432,5, Not Graduate, No,1400000,3000000,6,754,3500000,2700000,5300000,1400000, Approved
+1433,2, Not Graduate, Yes,2900000,7800000,18,588,400000,100000,11600000,4200000, Approved
+1434,3, Not Graduate, No,6500000,16500000,4,551,5300000,800000,18500000,7600000, Approved
+1435,3, Graduate, No,8300000,18900000,4,316,20200000,9700000,21300000,8200000, Rejected
+1436,2, Not Graduate, Yes,8900000,32200000,12,382,0,11300000,20500000,5400000, Rejected
+1437,3, Graduate, No,5300000,15000000,6,717,7000000,4100000,17100000,5300000, Approved
+1438,0, Graduate, No,2800000,7300000,6,676,3500000,2200000,5700000,3200000, Approved
+1439,1, Not Graduate, No,8000000,27800000,6,667,6000000,12600000,22500000,9900000, Approved
+1440,3, Not Graduate, No,3900000,10500000,20,821,1600000,6300000,11000000,3900000, Approved
+1441,0, Graduate, No,6200000,20100000,20,345,9300000,5900000,17400000,4100000, Rejected
+1442,3, Not Graduate, Yes,5900000,19200000,10,442,9500000,500000,18300000,4700000, Rejected
+1443,1, Graduate, Yes,6000000,23300000,12,672,2000000,11300000,19600000,6400000, Approved
+1444,3, Not Graduate, Yes,9100000,29300000,2,508,19000000,5100000,31600000,11900000, Approved
+1445,5, Graduate, Yes,3400000,12300000,10,615,7000000,1600000,11400000,3500000, Approved
+1446,1, Graduate, Yes,1800000,4400000,8,689,3200000,2500000,3800000,1600000, Approved
+1447,1, Graduate, No,300000,1200000,18,747,100000,0,700000,200000, Rejected
+1448,1, Graduate, Yes,9000000,22800000,10,412,0,15600000,32000000,4700000, Rejected
+1449,1, Graduate, No,6400000,16900000,2,703,6300000,7300000,15900000,7400000, Approved
+1450,5, Not Graduate, No,5800000,22200000,16,884,1200000,4800000,19500000,8500000, Approved
+1451,5, Graduate, Yes,2600000,8600000,18,651,1000000,100000,7800000,2600000, Approved
+1452,4, Not Graduate, No,6600000,17300000,14,793,16700000,1400000,17500000,3900000, Approved
+1453,2, Not Graduate, No,6100000,21800000,4,407,9800000,100000,20200000,5800000, Approved
+1454,2, Not Graduate, No,4100000,11100000,8,390,800000,3100000,10100000,3400000, Rejected
+1455,3, Not Graduate, Yes,300000,1000000,12,469,600000,400000,700000,300000, Rejected
+1456,4, Graduate, No,4700000,10400000,6,373,6800000,8600000,14300000,5400000, Rejected
+1457,4, Graduate, Yes,1500000,5800000,2,304,2400000,1600000,3300000,1400000, Approved
+1458,5, Not Graduate, No,2700000,8300000,8,833,4600000,1300000,6800000,3300000, Approved
+1459,2, Graduate, No,6900000,20900000,2,302,18700000,10700000,26900000,9200000, Approved
+1460,0, Graduate, No,7600000,28700000,6,397,11000000,13200000,24600000,3800000, Rejected
+1461,1, Graduate, No,4100000,10000000,6,891,4900000,300000,12600000,3600000, Approved
+1462,3, Not Graduate, No,4100000,12200000,2,457,700000,500000,14100000,4900000, Rejected
+1463,4, Not Graduate, No,1600000,3200000,16,657,200000,100000,5700000,1200000, Approved
+1464,2, Not Graduate, Yes,400000,1400000,2,480,200000,700000,1600000,200000, Approved
+1465,5, Graduate, Yes,4400000,17300000,20,840,3600000,5100000,12900000,2300000, Approved
+1466,2, Not Graduate, Yes,3800000,8000000,12,866,6000000,600000,8400000,1900000, Approved
+1467,0, Not Graduate, No,4300000,17000000,8,619,4100000,6600000,17100000,3900000, Approved
+1468,1, Graduate, Yes,9000000,33500000,2,748,7900000,9800000,25700000,11500000, Approved
+1469,3, Not Graduate, Yes,9500000,25500000,12,881,27000000,14100000,21600000,8900000, Approved
+1470,2, Graduate, Yes,6900000,13900000,8,829,14300000,8100000,22400000,4600000, Approved
+1471,3, Not Graduate, No,4300000,11100000,6,312,4800000,3800000,10100000,3300000, Rejected
+1472,3, Not Graduate, No,6600000,21400000,10,467,15200000,6000000,20300000,5200000, Rejected
+1473,1, Graduate, Yes,5200000,14300000,18,650,5400000,2300000,17600000,3600000, Approved
+1474,3, Graduate, Yes,400000,1100000,6,711,100000,300000,1400000,100000, Approved
+1475,4, Not Graduate, No,1300000,4100000,18,886,2800000,500000,3800000,600000, Approved
+1476,5, Not Graduate, No,9700000,28400000,4,494,5300000,12000000,24400000,10000000, Rejected
+1477,2, Graduate, Yes,5400000,10900000,14,741,1300000,6000000,20400000,5600000, Approved
+1478,4, Not Graduate, No,1200000,3300000,12,876,400000,100000,3800000,1000000, Approved
+1479,0, Graduate, Yes,7000000,26400000,14,610,14300000,0,13900000,5300000, Approved
+1480,5, Graduate, No,7600000,26000000,6,778,12900000,2400000,25500000,10900000, Approved
+1481,5, Graduate, Yes,700000,1800000,14,571,200000,400000,1900000,400000, Approved
+1482,3, Graduate, Yes,7500000,25100000,18,554,12500000,7900000,28500000,4700000, Approved
+1483,0, Not Graduate, Yes,2300000,6200000,8,712,6800000,1700000,8800000,1500000, Approved
+1484,5, Not Graduate, Yes,5600000,11500000,4,695,9500000,7100000,11700000,7800000, Approved
+1485,0, Not Graduate, Yes,5400000,10900000,20,366,3700000,500000,21000000,4800000, Rejected
+1486,1, Not Graduate, Yes,1800000,5500000,10,426,5000000,1500000,5900000,1600000, Rejected
+1487,0, Not Graduate, No,2900000,6900000,10,320,5100000,500000,7700000,1500000, Rejected
+1488,3, Not Graduate, Yes,1400000,4600000,8,543,1500000,1200000,2700000,2000000, Rejected
+1489,2, Graduate, No,2800000,11000000,16,525,8200000,1800000,5800000,2400000, Rejected
+1490,0, Not Graduate, Yes,3300000,13100000,12,812,4800000,4900000,7500000,4300000, Approved
+1491,0, Not Graduate, No,7000000,25300000,14,697,15100000,10400000,14300000,6700000, Approved
+1492,1, Not Graduate, No,3900000,15100000,12,527,10600000,5100000,11100000,3800000, Rejected
+1493,1, Not Graduate, No,5700000,17200000,4,512,4300000,7000000,21400000,3000000, Approved
+1494,0, Graduate, No,4100000,9200000,4,671,3400000,6300000,10400000,4900000, Approved
+1495,1, Graduate, Yes,2200000,8700000,20,539,1000000,4000000,8200000,2600000, Rejected
+1496,5, Not Graduate, No,2200000,7200000,10,532,2700000,300000,7500000,1600000, Rejected
+1497,3, Not Graduate, Yes,2500000,7700000,16,485,2000000,3600000,5600000,3200000, Rejected
+1498,0, Not Graduate, Yes,900000,2100000,6,521,100000,1700000,2100000,700000, Rejected
+1499,1, Not Graduate, No,2900000,7400000,10,874,400000,1200000,10100000,3300000, Approved
+1500,2, Not Graduate, No,9800000,22900000,10,788,1300000,10300000,27200000,14000000, Approved
+1501,2, Not Graduate, No,5200000,14800000,12,659,11500000,5200000,18100000,4100000, Approved
+1502,1, Graduate, Yes,8600000,19600000,16,498,14800000,3000000,21000000,5300000, Rejected
+1503,2, Graduate, Yes,4800000,13200000,20,310,11800000,4600000,12900000,4200000, Rejected
+1504,0, Graduate, No,2000000,4700000,6,785,2900000,1800000,6700000,1700000, Approved
+1505,0, Graduate, No,3600000,8700000,10,309,6300000,1000000,8600000,3300000, Rejected
+1506,3, Not Graduate, Yes,5300000,19600000,2,433,14700000,9900000,10800000,3000000, Approved
+1507,1, Not Graduate, Yes,400000,1300000,18,801,100000,0,1500000,600000, Approved
+1508,3, Graduate, Yes,6500000,22400000,6,488,16800000,11700000,21700000,6800000, Rejected
+1509,0, Not Graduate, Yes,2300000,6000000,16,756,2900000,2100000,7500000,1200000, Approved
+1510,3, Graduate, No,1000000,2800000,4,757,2500000,100000,3800000,900000, Approved
+1511,5, Not Graduate, No,3200000,10100000,6,828,8500000,6000000,8700000,3000000, Approved
+1512,3, Graduate, Yes,3400000,7200000,12,733,4800000,2700000,8100000,2200000, Approved
+1513,0, Not Graduate, No,9600000,38200000,8,421,1600000,14100000,33600000,13800000, Rejected
+1514,3, Not Graduate, No,5300000,20300000,4,872,4300000,7300000,18400000,7600000, Approved
+1515,3, Graduate, No,4700000,17400000,10,393,12400000,5300000,18700000,5300000, Rejected
+1516,3, Graduate, No,9700000,37800000,12,700,13400000,6100000,25800000,11900000, Approved
+1517,5, Graduate, No,8800000,21600000,18,613,15400000,12100000,30000000,8400000, Approved
+1518,5, Graduate, No,5900000,13400000,6,455,3200000,11200000,21600000,6900000, Rejected
+1519,4, Graduate, Yes,2400000,7100000,16,871,7000000,300000,8500000,3500000, Approved
+1520,4, Graduate, Yes,7900000,21500000,16,497,2200000,5200000,23100000,7700000, Rejected
+1521,0, Graduate, No,1400000,2700000,2,649,2600000,1000000,5500000,1100000, Approved
+1522,0, Graduate, Yes,3500000,10000000,14,709,5300000,1800000,9200000,5000000, Approved
+1523,4, Graduate, No,3400000,13500000,12,705,10000000,1100000,8300000,4900000, Approved
+1524,2, Graduate, No,6100000,23600000,2,476,4600000,2900000,22500000,3800000, Approved
+1525,2, Not Graduate, Yes,3000000,7100000,4,819,5400000,4800000,6000000,2100000, Approved
+1526,5, Not Graduate, Yes,3400000,9400000,16,535,3100000,5600000,12900000,3200000, Rejected
+1527,0, Graduate, Yes,400000,1200000,14,889,1100000,200000,700000,200000, Approved
+1528,0, Graduate, No,5900000,11800000,12,468,9100000,10000000,17500000,6200000, Rejected
+1529,5, Graduate, Yes,400000,800000,2,759,100000,500000,1300000,300000, Approved
+1530,3, Graduate, Yes,9000000,33600000,2,426,21600000,16200000,20700000,11900000, Approved
+1531,0, Graduate, Yes,8800000,23600000,8,712,400000,11300000,19300000,11100000, Approved
+1532,4, Graduate, Yes,2000000,4700000,2,615,500000,100000,6700000,3000000, Approved
+1533,2, Graduate, No,4700000,14000000,12,784,13400000,2700000,14800000,6900000, Approved
+1534,4, Not Graduate, No,2700000,6100000,16,677,100000,3300000,6500000,3800000, Approved
+1535,1, Not Graduate, No,2600000,7900000,12,306,2000000,2400000,7600000,3300000, Rejected
+1536,1, Not Graduate, Yes,9000000,25400000,16,655,22000000,8800000,29100000,7200000, Approved
+1537,4, Not Graduate, No,5100000,19400000,8,755,2200000,300000,14900000,5300000, Approved
+1538,2, Graduate, No,6600000,25800000,18,598,3800000,3100000,16400000,5900000, Approved
+1539,2, Graduate, No,4400000,9800000,18,712,5400000,200000,8800000,6400000, Approved
+1540,4, Not Graduate, Yes,1500000,4600000,6,524,3700000,2000000,5000000,1400000, Rejected
+1541,1, Not Graduate, No,6200000,23100000,16,838,9100000,1400000,23500000,7000000, Approved
+1542,4, Graduate, Yes,900000,2900000,6,560,1500000,900000,3100000,900000, Approved
+1543,3, Not Graduate, No,7700000,26400000,12,759,3400000,2900000,21900000,10800000, Approved
+1544,2, Graduate, Yes,600000,2400000,6,454,100000,600000,2300000,300000, Rejected
+1545,4, Not Graduate, No,4300000,16500000,4,539,10600000,6100000,9300000,2100000, Approved
+1546,2, Not Graduate, Yes,8200000,27800000,16,827,11500000,8700000,26000000,10700000, Approved
+1547,0, Not Graduate, No,3500000,11900000,12,686,4400000,4800000,10100000,2500000, Approved
+1548,1, Graduate, Yes,9900000,34100000,14,371,24400000,7100000,29300000,6200000, Rejected
+1549,5, Graduate, No,700000,1900000,4,784,500000,1000000,2100000,600000, Approved
+1550,1, Graduate, Yes,2100000,7300000,16,826,1600000,3500000,7700000,1400000, Approved
+1551,2, Not Graduate, No,3200000,10500000,12,502,4300000,1500000,10000000,4500000, Rejected
+1552,0, Graduate, No,2900000,7800000,8,367,700000,3700000,7700000,3600000, Rejected
+1553,0, Not Graduate, No,7000000,18300000,6,541,6300000,6400000,20800000,8300000, Rejected
+1554,1, Graduate, No,3700000,13600000,16,608,400000,2200000,13400000,2800000, Approved
+1555,3, Not Graduate, Yes,4500000,13100000,12,570,10500000,2000000,10100000,5800000, Approved
+1556,3, Graduate, No,200000,800000,18,752,200000,200000,300000,200000, Approved
+1557,5, Not Graduate, Yes,5600000,20500000,8,873,5500000,9500000,19400000,7800000, Approved
+1558,5, Graduate, No,5400000,18600000,2,538,7700000,2700000,18800000,4000000, Approved
+1559,4, Not Graduate, No,300000,1000000,10,819,700000,300000,900000,200000, Approved
+1560,1, Graduate, Yes,7500000,29800000,18,770,1400000,5200000,28000000,8700000, Approved
+1561,5, Not Graduate, Yes,2500000,9600000,6,345,1900000,1900000,6800000,2600000, Rejected
+1562,4, Graduate, Yes,3100000,8100000,12,730,6300000,4500000,9000000,4500000, Approved
+1563,1, Graduate, Yes,7600000,19300000,20,835,5800000,2300000,22000000,8200000, Approved
+1564,3, Not Graduate, Yes,500000,1700000,2,811,500000,500000,1400000,200000, Approved
+1565,2, Not Graduate, No,2700000,5900000,14,662,3200000,1600000,7300000,3800000, Approved
+1566,2, Not Graduate, Yes,3500000,13300000,4,420,6400000,1700000,8000000,2300000, Approved
+1567,5, Not Graduate, No,3700000,11700000,4,413,8400000,5500000,12000000,2700000, Approved
+1568,2, Not Graduate, Yes,5600000,20000000,10,367,13700000,5000000,19100000,6000000, Rejected
+1569,5, Not Graduate, Yes,4800000,16400000,14,390,8400000,2400000,9500000,4000000, Rejected
+1570,4, Not Graduate, Yes,5200000,12200000,2,602,10300000,800000,20500000,7700000, Approved
+1571,3, Graduate, No,2900000,11500000,16,843,2300000,2600000,10700000,4300000, Approved
+1572,1, Graduate, No,2700000,6800000,20,713,500000,3300000,6100000,1900000, Approved
+1573,3, Graduate, No,5000000,16200000,8,591,1900000,3400000,14000000,5000000, Approved
+1574,2, Not Graduate, Yes,2700000,9400000,14,701,400000,3400000,9900000,1900000, Approved
+1575,4, Not Graduate, Yes,2800000,10000000,12,655,4900000,3600000,8500000,3300000, Approved
+1576,3, Not Graduate, Yes,7300000,20000000,18,720,15500000,9900000,23000000,9800000, Approved
+1577,0, Graduate, Yes,5900000,15100000,10,794,6000000,4300000,14900000,5400000, Approved
+1578,0, Graduate, No,8100000,21300000,2,392,14200000,6600000,31500000,11000000, Rejected
+1579,3, Graduate, Yes,1900000,7100000,6,583,400000,2800000,6500000,2000000, Approved
+1580,5, Graduate, No,1800000,6800000,18,457,2200000,1100000,3800000,1400000, Rejected
+1581,0, Not Graduate, Yes,7600000,17800000,14,570,15200000,12100000,21500000,9900000, Approved
+1582,1, Graduate, No,9100000,30100000,14,890,17800000,12400000,32500000,7500000, Approved
+1583,2, Not Graduate, Yes,5300000,12300000,14,472,10000000,1600000,20400000,3300000, Rejected
+1584,2, Not Graduate, No,3700000,10900000,12,788,1700000,700000,12200000,2600000, Approved
+1585,0, Not Graduate, No,9500000,35300000,6,605,10000000,12700000,31100000,7000000, Approved
+1586,3, Graduate, No,8300000,30500000,10,473,13300000,9400000,23300000,11800000, Rejected
+1587,5, Graduate, No,6400000,21500000,16,728,300000,5200000,17400000,9600000, Approved
+1588,5, Graduate, Yes,5300000,17800000,16,505,9200000,8500000,14600000,4100000, Rejected
+1589,0, Graduate, Yes,5600000,19300000,6,407,3400000,3600000,14200000,8400000, Rejected
+1590,1, Graduate, Yes,900000,1700000,18,464,1300000,0,1900000,700000, Rejected
+1591,0, Graduate, Yes,2400000,7200000,20,514,4100000,2100000,6700000,1800000, Rejected
+1592,1, Graduate, No,9500000,23000000,10,627,28500000,11500000,21700000,9100000, Approved
+1593,2, Not Graduate, Yes,7400000,14900000,20,627,15900000,10100000,19000000,10300000, Approved
+1594,4, Not Graduate, Yes,1500000,3200000,10,858,1500000,0,4700000,1700000, Approved
+1595,3, Graduate, Yes,8800000,30200000,8,607,13600000,12700000,21500000,5900000, Approved
+1596,5, Not Graduate, Yes,4900000,14300000,4,663,8500000,6100000,19600000,5500000, Approved
+1597,1, Not Graduate, Yes,8100000,26900000,6,522,23000000,2100000,18700000,4200000, Rejected
+1598,2, Not Graduate, Yes,2300000,9100000,20,610,3700000,600000,7800000,3400000, Approved
+1599,5, Not Graduate, Yes,3000000,6600000,16,462,5500000,3500000,9100000,3600000, Rejected
+1600,2, Not Graduate, Yes,3900000,9300000,8,591,10900000,2700000,9600000,3300000, Approved
+1601,4, Graduate, Yes,1700000,6500000,20,636,1700000,900000,6200000,2300000, Approved
+1602,0, Not Graduate, Yes,2100000,4900000,10,359,1000000,800000,6100000,1000000, Rejected
+1603,4, Graduate, Yes,9700000,25000000,4,542,9800000,12000000,29300000,13400000, Rejected
+1604,5, Not Graduate, Yes,3500000,11800000,4,642,2300000,2900000,11900000,3600000, Approved
+1605,5, Not Graduate, Yes,1500000,5500000,4,414,800000,1400000,2900000,1200000, Approved
+1606,3, Not Graduate, Yes,8800000,26200000,20,865,19300000,9800000,27700000,12500000, Approved
+1607,3, Graduate, No,900000,3100000,10,369,1400000,100000,1700000,500000, Rejected
+1608,0, Graduate, Yes,3500000,10800000,14,838,4700000,6800000,13900000,1700000, Approved
+1609,5, Not Graduate, No,5500000,21200000,4,582,12100000,8300000,17100000,3100000, Approved
+1610,5, Not Graduate, Yes,9800000,23200000,10,416,11000000,17300000,21600000,8500000, Rejected
+1611,5, Graduate, No,2100000,5500000,20,705,5400000,1400000,4600000,1200000, Approved
+1612,0, Graduate, No,1800000,5700000,18,306,500000,700000,5600000,1700000, Rejected
+1613,5, Graduate, Yes,5800000,13000000,8,851,6700000,8700000,17700000,4100000, Approved
+1614,5, Graduate, No,6700000,17200000,18,613,9700000,6800000,24600000,7100000, Approved
+1615,3, Graduate, No,4300000,16300000,10,366,6900000,6700000,12300000,5500000, Rejected
+1616,1, Graduate, No,1200000,2800000,12,431,900000,400000,2900000,900000, Rejected
+1617,5, Not Graduate, Yes,9700000,25900000,2,754,9000000,10000000,28500000,6700000, Approved
+1618,5, Graduate, Yes,5400000,11200000,10,447,300000,7900000,21400000,6000000, Rejected
+1619,1, Not Graduate, Yes,5300000,14100000,14,510,13300000,10400000,18900000,7800000, Rejected
+1620,1, Graduate, No,7300000,24200000,20,324,12900000,3700000,18400000,9000000, Rejected
+1621,5, Graduate, No,9500000,19200000,2,523,13500000,1500000,21000000,6700000, Rejected
+1622,0, Not Graduate, Yes,7200000,15600000,2,362,2700000,2400000,20800000,5900000, Rejected
+1623,3, Graduate, Yes,9000000,32900000,6,657,9900000,600000,29200000,12000000, Approved
+1624,5, Not Graduate, No,6500000,23300000,12,790,600000,9700000,15500000,9500000, Approved
+1625,1, Graduate, Yes,9500000,30500000,18,500,1300000,3300000,20500000,5500000, Rejected
+1626,2, Not Graduate, Yes,9900000,33200000,4,465,26300000,17000000,24400000,5000000, Approved
+1627,4, Not Graduate, No,2900000,8700000,6,409,3700000,5500000,8200000,2200000, Rejected
+1628,4, Graduate, Yes,700000,1800000,20,626,500000,600000,1400000,300000, Approved
+1629,5, Not Graduate, No,4200000,13400000,16,545,9800000,8200000,12500000,3500000, Rejected
+1630,3, Not Graduate, No,4200000,11400000,10,654,8800000,400000,16200000,5700000, Approved
+1631,0, Not Graduate, No,7600000,26500000,6,515,6200000,14900000,22000000,4000000, Rejected
+1632,2, Graduate, Yes,7100000,18800000,12,838,1100000,5200000,16600000,4900000, Approved
+1633,1, Not Graduate, Yes,4700000,16000000,14,406,4000000,5300000,14300000,3300000, Rejected
+1634,0, Graduate, Yes,9800000,23200000,10,573,23900000,3300000,23600000,14600000, Approved
+1635,0, Graduate, Yes,9800000,38700000,2,611,6600000,10400000,33000000,6000000, Approved
+1636,0, Not Graduate, No,5100000,13400000,16,649,6800000,1600000,15700000,3900000, Approved
+1637,0, Not Graduate, Yes,3300000,7700000,12,775,8200000,2100000,7400000,4200000, Approved
+1638,3, Graduate, No,4500000,12500000,12,469,4100000,7600000,14200000,3400000, Rejected
+1639,0, Graduate, Yes,3900000,12800000,18,587,4500000,5300000,12600000,5000000, Approved
+1640,3, Graduate, Yes,3200000,9900000,10,316,9100000,5500000,8800000,3600000, Rejected
+1641,2, Graduate, No,3200000,10400000,10,556,8200000,5600000,11500000,4500000, Approved
+1642,2, Not Graduate, No,9600000,31200000,12,578,9900000,2200000,26500000,13500000, Approved
+1643,2, Not Graduate, Yes,8700000,18900000,2,554,3900000,1900000,18000000,11500000, Approved
+1644,2, Not Graduate, Yes,1900000,6800000,6,892,2600000,2200000,6400000,900000, Approved
+1645,2, Not Graduate, Yes,2900000,10200000,10,315,8100000,400000,6500000,1600000, Rejected
+1646,0, Not Graduate, No,6200000,12900000,10,695,1900000,3700000,22200000,4200000, Approved
+1647,0, Not Graduate, No,5900000,20300000,4,806,300000,3700000,16400000,4800000, Approved
+1648,4, Not Graduate, Yes,3200000,12800000,8,638,4300000,2600000,8000000,3800000, Approved
+1649,1, Not Graduate, Yes,1300000,5000000,4,610,3400000,800000,4500000,900000, Approved
+1650,2, Not Graduate, Yes,1300000,3200000,4,810,3800000,2100000,4300000,800000, Approved
+1651,1, Graduate, No,8700000,33200000,4,866,19600000,15900000,23700000,10500000, Approved
+1652,3, Not Graduate, No,6300000,23800000,10,760,12700000,1300000,18400000,8800000, Approved
+1653,3, Graduate, No,4300000,11200000,6,556,11000000,4300000,14500000,5100000, Approved
+1654,3, Not Graduate, Yes,6400000,23500000,12,684,17200000,10300000,25300000,7400000, Approved
+1655,5, Not Graduate, Yes,7700000,25800000,18,578,5000000,7700000,27200000,10600000, Approved
+1656,2, Not Graduate, No,6900000,23900000,12,814,13000000,1900000,26600000,6000000, Approved
+1657,0, Not Graduate, No,4200000,14800000,20,510,9200000,5700000,11900000,2600000, Rejected
+1658,4, Not Graduate, No,3900000,9000000,2,674,8700000,5700000,14000000,3100000, Approved
+1659,0, Graduate, Yes,2000000,4900000,14,570,3800000,300000,6600000,1300000, Approved
+1660,1, Not Graduate, No,500000,1700000,2,680,700000,800000,1400000,700000, Approved
+1661,0, Graduate, No,3500000,8800000,12,803,5400000,300000,8400000,3400000, Approved
+1662,2, Not Graduate, Yes,3100000,10700000,16,357,9200000,1900000,7700000,3800000, Rejected
+1663,3, Not Graduate, Yes,4900000,19000000,4,575,14100000,9100000,16500000,4600000, Approved
+1664,1, Not Graduate, No,1000000,3600000,4,546,2500000,0,2600000,500000, Approved
+1665,2, Graduate, No,6700000,21400000,8,370,3200000,11800000,20100000,8600000, Rejected
+1666,1, Graduate, No,4100000,9400000,6,713,0,1000000,11100000,3100000, Approved
+1667,4, Not Graduate, Yes,1600000,3800000,2,896,1200000,400000,4800000,2000000, Approved
+1668,3, Graduate, Yes,2400000,9200000,14,626,300000,3600000,8500000,2000000, Approved
+1669,0, Graduate, No,2200000,6400000,4,854,900000,1600000,6500000,1300000, Approved
+1670,4, Graduate, No,3200000,8400000,18,802,400000,0,9100000,4700000, Approved
+1671,4, Not Graduate, Yes,1600000,4400000,20,382,1700000,300000,5200000,1900000, Rejected
+1672,2, Not Graduate, No,3900000,14900000,6,415,2200000,4300000,9500000,4600000, Rejected
+1673,5, Graduate, Yes,2000000,6300000,4,366,5300000,2200000,5400000,2800000, Approved
+1674,1, Graduate, Yes,7600000,25400000,10,595,7900000,400000,24900000,11000000, Approved
+1675,1, Not Graduate, No,9800000,21300000,2,356,23000000,12300000,25700000,14600000, Rejected
+1676,5, Not Graduate, No,7900000,29900000,6,568,5800000,13900000,15900000,8700000, Approved
+1677,1, Graduate, No,1600000,4000000,10,615,2200000,2700000,5500000,1400000, Approved
+1678,1, Graduate, Yes,6400000,13900000,12,313,18600000,6300000,18600000,4900000, Rejected
+1679,1, Graduate, Yes,6400000,17900000,6,575,6600000,7600000,23100000,5300000, Approved
+1680,4, Graduate, No,1600000,5500000,10,577,400000,1200000,4100000,1400000, Approved
+1681,0, Graduate, No,9200000,30700000,10,455,24900000,2000000,32900000,5200000, Rejected
+1682,1, Not Graduate, No,7800000,24900000,6,500,15300000,10000000,16500000,4500000, Rejected
+1683,1, Not Graduate, Yes,4000000,9400000,8,509,1000000,4100000,10800000,5500000, Rejected
+1684,2, Not Graduate, Yes,6100000,19400000,8,379,5300000,10800000,14300000,4100000, Rejected
+1685,5, Graduate, No,7100000,14500000,14,664,5300000,12900000,15700000,9200000, Approved
+1686,0, Not Graduate, Yes,2500000,9900000,6,623,6000000,1800000,6200000,1800000, Approved
+1687,5, Graduate, No,3200000,8700000,16,558,2600000,2500000,9100000,1800000, Approved
+1688,4, Graduate, No,1700000,4300000,18,580,1500000,2400000,6600000,1700000, Approved
+1689,4, Graduate, No,6300000,17600000,6,612,16000000,3300000,23500000,3200000, Approved
+1690,4, Graduate, Yes,700000,2400000,14,705,0,100000,2000000,700000, Approved
+1691,4, Graduate, Yes,1100000,2700000,18,301,2800000,1600000,3300000,1500000, Rejected
+1692,1, Not Graduate, Yes,8900000,32000000,16,711,4300000,1200000,22100000,5200000, Approved
+1693,3, Graduate, No,300000,700000,20,735,900000,200000,900000,400000, Approved
+1694,1, Not Graduate, No,2200000,5200000,14,682,2600000,600000,6100000,1800000, Approved
+1695,3, Not Graduate, No,3400000,13500000,10,348,7900000,3700000,8200000,4700000, Rejected
+1696,0, Graduate, Yes,7900000,23500000,20,750,16800000,15300000,21200000,4000000, Approved
+1697,3, Not Graduate, Yes,5800000,18200000,16,835,1000000,6100000,14600000,7900000, Approved
+1698,0, Graduate, Yes,9400000,20000000,6,389,16000000,7100000,19400000,10200000, Rejected
+1699,2, Graduate, No,4800000,18900000,4,866,10200000,6000000,13900000,5900000, Approved
+1700,3, Not Graduate, No,7600000,26600000,4,689,5300000,600000,24300000,8600000, Approved
+1701,0, Not Graduate, No,5900000,17600000,16,645,13000000,3100000,23400000,8600000, Approved
+1702,1, Graduate, Yes,4300000,10100000,2,797,4400000,4500000,16300000,4700000, Approved
+1703,5, Graduate, No,6100000,17800000,6,849,2900000,10900000,16100000,7800000, Approved
+1704,5, Graduate, No,5400000,19700000,20,423,6500000,10000000,15700000,7300000, Rejected
+1705,1, Not Graduate, Yes,5200000,11200000,2,370,9900000,10200000,16700000,6400000, Rejected
+1706,5, Not Graduate, No,8500000,31300000,12,378,21400000,13100000,30400000,8800000, Rejected
+1707,4, Not Graduate, No,900000,1900000,20,417,1000000,800000,2800000,900000, Rejected
+1708,1, Not Graduate, No,1400000,4100000,20,530,1200000,1100000,3000000,1900000, Rejected
+1709,1, Not Graduate, Yes,2400000,9300000,20,543,700000,800000,5000000,3400000, Rejected
+1710,4, Graduate, No,6300000,15000000,18,750,800000,6500000,15400000,7700000, Approved
+1711,1, Graduate, No,3100000,7600000,20,346,700000,4600000,8100000,4400000, Rejected
+1712,4, Graduate, Yes,6900000,19000000,14,330,9300000,7100000,18800000,8400000, Rejected
+1713,2, Not Graduate, Yes,3000000,7400000,10,712,5100000,1000000,11600000,3800000, Approved
+1714,0, Not Graduate, No,3100000,10100000,14,376,6400000,2600000,11600000,4300000, Rejected
+1715,4, Not Graduate, No,600000,1200000,14,338,500000,500000,2300000,500000, Rejected
+1716,4, Not Graduate, Yes,4700000,13700000,14,600,12100000,8400000,17700000,5000000, Approved
+1717,1, Graduate, No,2500000,6900000,20,495,4800000,3300000,5700000,3700000, Rejected
+1718,0, Graduate, No,9700000,30400000,4,300,17100000,16600000,38100000,9200000, Approved
+1719,4, Not Graduate, Yes,7600000,20000000,18,691,5000000,8700000,23400000,11200000, Approved
+1720,1, Graduate, No,8400000,24700000,8,519,12900000,16700000,17300000,6000000, Rejected
+1721,3, Graduate, Yes,3800000,15100000,20,540,9400000,1000000,9300000,3600000, Rejected
+1722,3, Not Graduate, Yes,3100000,11400000,16,562,3600000,3600000,7200000,3100000, Approved
+1723,2, Not Graduate, No,5700000,21300000,10,323,1600000,11200000,16200000,5100000, Rejected
+1724,1, Graduate, Yes,5500000,19700000,10,312,12800000,4800000,19500000,3300000, Rejected
+1725,1, Not Graduate, Yes,200000,600000,2,511,500000,100000,800000,200000, Approved
+1726,3, Not Graduate, Yes,3700000,13800000,10,621,4000000,800000,11900000,5300000, Approved
+1727,2, Not Graduate, Yes,1600000,4300000,20,512,3200000,2500000,6300000,900000, Rejected
+1728,4, Graduate, No,3900000,11000000,2,786,7900000,1600000,10700000,2100000, Approved
+1729,3, Not Graduate, Yes,700000,1600000,18,303,600000,500000,2000000,600000, Rejected
+1730,3, Graduate, Yes,5800000,16700000,18,633,8100000,8400000,14700000,3700000, Approved
+1731,4, Graduate, Yes,3800000,14000000,6,711,9500000,7300000,14500000,3100000, Approved
+1732,2, Graduate, No,6400000,16900000,16,472,11100000,6000000,16300000,4500000, Rejected
+1733,1, Graduate, Yes,5500000,12100000,4,350,6300000,9200000,17200000,6900000, Rejected
+1734,1, Not Graduate, Yes,6800000,13700000,10,879,500000,2600000,22000000,6800000, Approved
+1735,4, Not Graduate, No,6700000,13400000,10,436,3600000,1200000,23200000,7500000, Rejected
+1736,1, Graduate, Yes,5300000,11500000,14,848,1300000,3600000,14700000,5700000, Approved
+1737,2, Graduate, No,6600000,23200000,16,555,9900000,6500000,23300000,3300000, Approved
+1738,2, Graduate, No,6600000,13100000,20,885,10900000,4300000,20600000,6200000, Approved
+1739,0, Not Graduate, No,7600000,25200000,6,888,12700000,10900000,24500000,7500000, Approved
+1740,4, Not Graduate, Yes,2500000,6100000,20,478,5900000,800000,9500000,3200000, Rejected
+1741,4, Not Graduate, No,1100000,2500000,4,603,1900000,1400000,3900000,500000, Approved
+1742,1, Not Graduate, No,2300000,8200000,8,784,2000000,0,7600000,1100000, Approved
+1743,1, Graduate, Yes,3300000,11700000,4,682,3500000,5500000,12300000,1600000, Approved
+1744,4, Graduate, Yes,2600000,5900000,6,471,3500000,1900000,7300000,3400000, Rejected
+1745,4, Not Graduate, Yes,9300000,36700000,20,808,16500000,14700000,26500000,7100000, Approved
+1746,4, Not Graduate, No,5300000,18500000,8,470,2900000,9300000,14900000,4900000, Rejected
+1747,2, Not Graduate, No,5400000,13800000,20,574,900000,9200000,10900000,3700000, Approved
+1748,4, Not Graduate, Yes,3500000,12000000,8,314,7700000,100000,12600000,2700000, Rejected
+1749,2, Graduate, No,4200000,10200000,14,407,5900000,4500000,12000000,2500000, Rejected
+1750,0, Not Graduate, Yes,9200000,34900000,4,702,16900000,16000000,24100000,9800000, Approved
+1751,2, Graduate, No,4300000,9800000,2,499,4400000,4500000,12600000,5100000, Rejected
+1752,1, Graduate, Yes,7500000,19900000,10,669,1800000,8800000,18100000,7300000, Approved
+1753,5, Not Graduate, Yes,5400000,18800000,20,326,9700000,10100000,14800000,3200000, Rejected
+1754,3, Not Graduate, No,5500000,16200000,18,778,4700000,10700000,15300000,6100000, Approved
+1755,2, Not Graduate, Yes,2100000,4500000,2,787,4800000,2800000,6000000,2100000, Approved
+1756,0, Graduate, No,3700000,12300000,16,831,8000000,2200000,11200000,2400000, Approved
+1757,0, Graduate, No,8800000,32900000,18,576,1300000,8700000,32600000,5600000, Approved
+1758,5, Not Graduate, No,5800000,22800000,12,600,16000000,1100000,20700000,5700000, Approved
+1759,4, Graduate, No,7900000,30600000,2,569,7600000,3400000,20100000,7400000, Approved
+1760,1, Not Graduate, Yes,3100000,6300000,20,867,1900000,6100000,6600000,4000000, Approved
+1761,0, Not Graduate, No,4100000,14500000,12,441,9900000,300000,15700000,3900000, Rejected
+1762,2, Not Graduate, Yes,9800000,32700000,2,304,4700000,19000000,24500000,8600000, Approved
+1763,5, Not Graduate, No,3300000,8400000,18,520,500000,6300000,11000000,4000000, Rejected
+1764,0, Graduate, No,2000000,6200000,14,613,100000,1800000,5400000,1300000, Approved
+1765,2, Not Graduate, Yes,600000,1100000,8,885,700000,0,1200000,300000, Approved
+1766,4, Not Graduate, Yes,3600000,9500000,2,841,4900000,4400000,13500000,2100000, Approved
+1767,2, Not Graduate, No,7500000,29100000,20,815,12400000,9500000,25300000,9100000, Approved
+1768,5, Graduate, Yes,200000,400000,18,822,200000,300000,600000,300000, Approved
+1769,4, Not Graduate, No,9900000,29100000,18,772,24100000,19400000,26800000,11700000, Approved
+1770,5, Graduate, Yes,6100000,22500000,6,776,17600000,9900000,13800000,4800000, Approved
+1771,4, Not Graduate, Yes,3500000,10300000,10,337,9000000,5600000,10500000,4500000, Rejected
+1772,0, Not Graduate, Yes,7800000,19000000,12,333,15400000,14900000,30600000,9600000, Rejected
+1773,3, Not Graduate, Yes,8700000,29300000,4,312,9000000,2800000,30000000,4900000, Approved
+1774,2, Graduate, Yes,5500000,12400000,14,842,-100000,6800000,15800000,5800000, Approved
+1775,3, Graduate, Yes,1800000,5100000,8,790,100000,0,3700000,2000000, Approved
+1776,2, Graduate, No,8000000,31900000,16,806,19900000,1800000,23200000,5400000, Approved
+1777,5, Not Graduate, Yes,7500000,17000000,8,300,7800000,8300000,18900000,6700000, Rejected
+1778,5, Graduate, Yes,3700000,12000000,12,605,4900000,1800000,13200000,3100000, Approved
+1779,2, Graduate, Yes,1600000,4700000,12,582,1500000,1300000,5200000,1000000, Approved
+1780,5, Graduate, No,1300000,2700000,6,607,800000,1500000,4700000,1600000, Approved
+1781,5, Graduate, Yes,2400000,8200000,10,709,2100000,3700000,8800000,2800000, Approved
+1782,4, Graduate, Yes,4100000,11600000,14,854,500000,6900000,12700000,5700000, Approved
+1783,2, Not Graduate, Yes,7300000,15200000,20,776,14700000,9600000,26400000,4100000, Approved
+1784,1, Graduate, Yes,8000000,24600000,12,649,10800000,1600000,21800000,9200000, Approved
+1785,3, Not Graduate, No,7900000,28000000,4,394,22800000,13200000,18200000,3900000, Approved
+1786,4, Not Graduate, No,7200000,18900000,16,371,6600000,14100000,18900000,4900000, Rejected
+1787,3, Not Graduate, No,6200000,13200000,14,707,17200000,8900000,23100000,4200000, Approved
+1788,2, Not Graduate, Yes,5700000,18100000,20,491,6800000,100000,17700000,3900000, Rejected
+1789,0, Graduate, Yes,5800000,14100000,16,570,8200000,4200000,16400000,3700000, Approved
+1790,1, Not Graduate, No,900000,3500000,18,395,2500000,800000,3000000,1300000, Rejected
+1791,0, Not Graduate, Yes,2200000,7500000,10,497,2300000,2100000,5700000,1800000, Rejected
+1792,3, Not Graduate, Yes,1800000,5300000,14,440,2000000,100000,3700000,1000000, Rejected
+1793,0, Not Graduate, Yes,800000,2400000,16,825,700000,0,3100000,1100000, Approved
+1794,2, Graduate, Yes,7600000,18100000,14,320,14700000,2600000,28100000,8500000, Rejected
+1795,2, Graduate, Yes,4100000,13500000,4,846,8900000,7800000,11400000,2400000, Approved
+1796,3, Graduate, Yes,4600000,10900000,12,856,13500000,5100000,9400000,3300000, Approved
+1797,3, Graduate, No,2300000,6800000,10,418,2800000,2700000,6300000,1400000, Rejected
+1798,0, Not Graduate, Yes,8000000,21100000,6,306,16100000,11800000,28200000,8700000, Rejected
+1799,2, Not Graduate, Yes,3800000,14500000,16,567,2400000,2600000,10500000,3000000, Approved
+1800,2, Not Graduate, Yes,9500000,36800000,6,493,24100000,13800000,32100000,6200000, Rejected
+1801,2, Graduate, No,9300000,21200000,2,509,2800000,2600000,35800000,6600000, Rejected
+1802,4, Graduate, No,4700000,17000000,4,364,2900000,4600000,18800000,6200000, Approved
+1803,5, Not Graduate, No,6000000,24000000,20,639,300000,7300000,15100000,6600000, Approved
+1804,2, Graduate, Yes,5500000,21700000,2,309,11800000,1000000,21600000,7600000, Approved
+1805,0, Not Graduate, Yes,4600000,14800000,6,433,12100000,4600000,11100000,6700000, Rejected
+1806,5, Not Graduate, No,9900000,33600000,20,580,7000000,10800000,37400000,14700000, Approved
+1807,1, Graduate, Yes,6200000,16200000,4,888,-100000,12000000,24300000,4000000, Approved
+1808,4, Not Graduate, Yes,400000,1100000,6,644,1000000,300000,1600000,400000, Approved
+1809,1, Not Graduate, Yes,7800000,22200000,10,763,11200000,1400000,27000000,4900000, Approved
+1810,0, Graduate, Yes,2900000,10800000,20,694,6400000,200000,10600000,2100000, Approved
+1811,3, Not Graduate, No,500000,1200000,6,757,1300000,100000,1200000,600000, Approved
+1812,0, Not Graduate, No,2500000,6900000,12,471,7100000,4000000,5200000,1500000, Rejected
+1813,5, Not Graduate, No,9000000,35200000,2,437,18400000,17800000,18300000,10400000, Approved
+1814,4, Not Graduate, Yes,5200000,11400000,10,406,14700000,2000000,13000000,4400000, Rejected
+1815,5, Not Graduate, No,6000000,19700000,20,376,14700000,10700000,17100000,5500000, Rejected
+1816,1, Graduate, No,5100000,13800000,14,350,6200000,2200000,12600000,3600000, Rejected
+1817,5, Not Graduate, Yes,8000000,22500000,20,784,7600000,7300000,26000000,10800000, Approved
+1818,4, Graduate, Yes,9200000,25400000,14,765,21200000,6600000,25100000,5600000, Approved
+1819,4, Not Graduate, No,9800000,32200000,18,593,9500000,400000,34000000,14300000, Approved
+1820,3, Graduate, Yes,7600000,30000000,10,344,19000000,13700000,27600000,11100000, Rejected
+1821,1, Graduate, No,5100000,11800000,12,314,14700000,7600000,12400000,4900000, Rejected
+1822,4, Graduate, Yes,1500000,3300000,16,382,200000,2400000,3200000,1100000, Rejected
+1823,2, Not Graduate, Yes,6200000,16500000,4,510,14100000,4700000,18200000,6300000, Rejected
+1824,2, Graduate, Yes,6300000,24600000,8,464,7700000,2200000,13000000,6900000, Rejected
+1825,1, Graduate, Yes,5500000,14900000,2,403,7400000,8900000,19700000,4100000, Rejected
+1826,3, Not Graduate, No,8100000,30400000,12,606,900000,1100000,31900000,11600000, Approved
+1827,1, Graduate, No,6300000,22000000,20,646,9500000,7900000,13500000,5500000, Approved
+1828,1, Graduate, No,1100000,3600000,20,495,1600000,1100000,3100000,500000, Rejected
+1829,3, Not Graduate, Yes,7200000,21600000,2,626,10600000,1600000,26900000,3700000, Approved
+1830,1, Not Graduate, Yes,3000000,6000000,16,518,3800000,1700000,11600000,3900000, Rejected
+1831,5, Graduate, No,2700000,7600000,8,746,900000,2200000,7200000,3400000, Approved
+1832,0, Not Graduate, No,5000000,16300000,12,737,2600000,3400000,11800000,4400000, Approved
+1833,0, Not Graduate, No,8400000,22300000,14,371,8300000,3700000,22300000,9100000, Rejected
+1834,1, Graduate, No,7700000,27300000,8,509,10100000,2200000,20200000,10800000, Rejected
+1835,1, Graduate, No,4700000,14000000,2,411,4600000,5100000,10600000,3700000, Rejected
+1836,2, Not Graduate, No,4300000,11800000,20,701,11600000,4600000,14200000,3300000, Approved
+1837,5, Not Graduate, No,2500000,8800000,10,769,3700000,1600000,8200000,2700000, Approved
+1838,5, Not Graduate, Yes,4400000,12500000,6,740,8200000,2300000,9900000,5400000, Approved
+1839,5, Not Graduate, No,5700000,11600000,4,892,10200000,6100000,19800000,7400000, Approved
+1840,2, Not Graduate, No,5300000,13100000,14,417,4900000,6200000,18200000,6800000, Rejected
+1841,5, Graduate, No,4600000,14400000,6,785,6500000,6300000,14700000,6200000, Approved
+1842,3, Not Graduate, No,400000,1100000,16,504,200000,400000,800000,400000, Rejected
+1843,0, Not Graduate, No,2100000,5900000,14,402,4400000,0,4800000,1000000, Rejected
+1844,2, Graduate, Yes,1200000,3500000,16,540,3100000,1800000,3500000,800000, Rejected
+1845,2, Graduate, Yes,8000000,28400000,10,607,11400000,3800000,29000000,11600000, Approved
+1846,1, Graduate, Yes,5000000,19400000,10,410,11600000,6200000,11700000,4500000, Rejected
+1847,0, Not Graduate, No,8500000,17200000,12,624,6500000,8400000,18600000,5100000, Approved
+1848,4, Graduate, No,4600000,16600000,16,805,4800000,8000000,11500000,2800000, Approved
+1849,2, Graduate, No,4600000,16100000,18,709,7100000,9000000,13800000,5400000, Approved
+1850,2, Not Graduate, Yes,8500000,30900000,14,511,23300000,4400000,21900000,5500000, Rejected
+1851,1, Graduate, Yes,7800000,25100000,18,766,6900000,7200000,16600000,10200000, Approved
+1852,3, Not Graduate, Yes,1400000,3800000,16,451,3100000,1300000,4300000,1300000, Rejected
+1853,1, Not Graduate, Yes,3700000,10200000,4,447,300000,2000000,14500000,3200000, Rejected
+1854,3, Not Graduate, Yes,1000000,2500000,18,763,400000,1100000,2100000,1400000, Approved
+1855,5, Not Graduate, No,900000,3100000,20,834,1000000,900000,2100000,1300000, Approved
+1856,2, Graduate, No,5600000,19500000,8,429,6100000,2200000,21100000,7200000, Rejected
+1857,4, Not Graduate, No,3200000,10600000,16,693,7800000,4900000,10400000,1800000, Approved
+1858,1, Graduate, No,2900000,11100000,20,478,4200000,2900000,8500000,3000000, Rejected
+1859,2, Graduate, Yes,300000,800000,10,752,600000,300000,1000000,400000, Approved
+1860,0, Graduate, Yes,2400000,5900000,14,319,2000000,4200000,9500000,3300000, Rejected
+1861,3, Graduate, No,5000000,17600000,8,303,6300000,9600000,12800000,6900000, Rejected
+1862,3, Not Graduate, Yes,5000000,16700000,20,420,1100000,5000000,18700000,6900000, Rejected
+1863,2, Not Graduate, Yes,200000,600000,8,552,400000,200000,700000,200000, Approved
+1864,3, Not Graduate, Yes,6000000,16000000,12,606,2600000,11600000,19300000,7800000, Approved
+1865,2, Not Graduate, No,5600000,13700000,2,558,7500000,9300000,12100000,6700000, Approved
+1866,1, Not Graduate, No,4500000,12400000,6,504,12000000,3200000,13100000,2200000, Rejected
+1867,5, Not Graduate, Yes,200000,300000,8,412,-100000,100000,500000,100000, Rejected
+1868,4, Not Graduate, Yes,6200000,18300000,4,900,16900000,3400000,15300000,6400000, Approved
+1869,4, Not Graduate, Yes,9800000,23800000,8,634,12800000,9300000,37600000,6100000, Approved
+1870,5, Graduate, Yes,3900000,9000000,8,340,4900000,6800000,9000000,5200000, Rejected
+1871,3, Not Graduate, Yes,8300000,20900000,4,615,4400000,200000,19000000,9600000, Approved
+1872,2, Graduate, Yes,4900000,12200000,18,353,7000000,200000,14400000,3600000, Rejected
+1873,4, Graduate, Yes,6900000,16300000,8,606,5800000,900000,23700000,3600000, Approved
+1874,2, Not Graduate, No,4500000,14500000,18,498,7900000,200000,13500000,4800000, Rejected
+1875,4, Not Graduate, No,7500000,21900000,2,585,6800000,12200000,27500000,8100000, Approved
+1876,1, Not Graduate, Yes,2300000,6400000,8,578,3600000,1800000,7000000,3000000, Approved
+1877,1, Graduate, No,7400000,15500000,2,693,3000000,12800000,21800000,9300000, Approved
+1878,4, Graduate, No,4800000,14300000,6,795,5900000,0,11100000,2600000, Approved
+1879,1, Graduate, No,2600000,9900000,6,594,2900000,4300000,6700000,2500000, Approved
+1880,3, Not Graduate, Yes,2700000,10600000,8,840,500000,3000000,9000000,1900000, Approved
+1881,3, Not Graduate, No,3700000,10900000,16,301,7800000,2300000,9600000,3400000, Rejected
+1882,4, Graduate, Yes,2600000,9400000,18,481,2700000,4400000,8600000,2400000, Rejected
+1883,5, Not Graduate, Yes,8800000,23100000,16,531,20800000,2600000,22100000,8000000, Rejected
+1884,2, Not Graduate, No,7500000,15400000,8,332,8300000,3100000,23700000,5400000, Rejected
+1885,0, Graduate, No,4700000,18500000,4,516,1000000,8400000,10400000,6100000, Approved
+1886,2, Not Graduate, No,7100000,26600000,6,727,16500000,9800000,21100000,7900000, Approved
+1887,3, Not Graduate, Yes,5500000,19300000,10,344,14400000,1300000,12400000,6600000, Rejected
+1888,2, Graduate, No,9500000,31500000,12,650,17600000,16600000,22200000,11400000, Approved
+1889,3, Graduate, Yes,4200000,15400000,8,362,9900000,5300000,15500000,5600000, Rejected
+1890,5, Graduate, Yes,6900000,18600000,18,307,3500000,4800000,25300000,4200000, Rejected
+1891,5, Graduate, No,9900000,24600000,2,530,24200000,12800000,20400000,13000000, Rejected
+1892,5, Graduate, No,6700000,17700000,6,482,3200000,10400000,18500000,5700000, Rejected
+1893,0, Not Graduate, Yes,9300000,22200000,14,701,600000,10100000,35900000,5700000, Approved
+1894,2, Graduate, No,5600000,17200000,16,586,13700000,2100000,14300000,4300000, Approved
+1895,0, Graduate, Yes,8100000,17600000,16,384,15200000,13300000,31700000,10200000, Rejected
+1896,4, Not Graduate, No,6000000,18000000,18,882,6700000,2500000,12200000,7500000, Approved
+1897,5, Not Graduate, Yes,4200000,11200000,2,758,5300000,6500000,9600000,3800000, Approved
+1898,5, Graduate, No,1600000,4000000,18,529,300000,1200000,5300000,2000000, Rejected
+1899,3, Graduate, Yes,800000,1500000,2,589,1500000,1100000,1800000,400000, Approved
+1900,1, Graduate, No,500000,1300000,6,670,1000000,500000,1400000,700000, Approved
+1901,5, Not Graduate, Yes,4300000,14100000,12,532,12600000,5700000,12000000,4600000, Rejected
+1902,0, Not Graduate, No,4000000,12500000,18,868,11000000,800000,14400000,2300000, Approved
+1903,2, Not Graduate, No,2900000,7300000,2,776,8300000,3000000,8500000,3400000, Approved
+1904,5, Graduate, Yes,2300000,9100000,16,644,4000000,2600000,6600000,3100000, Approved
+1905,0, Graduate, Yes,1800000,6000000,12,658,2900000,2300000,4500000,2400000, Approved
+1906,1, Graduate, Yes,8700000,33900000,10,766,16300000,700000,19500000,9000000, Approved
+1907,3, Not Graduate, No,7800000,21100000,12,717,1200000,10700000,19900000,6200000, Approved
+1908,2, Graduate, No,3200000,6300000,10,339,300000,4900000,7300000,2700000, Rejected
+1909,0, Not Graduate, No,1600000,4500000,18,463,100000,2000000,4100000,1800000, Rejected
+1910,4, Not Graduate, No,2400000,7300000,4,540,2500000,300000,7800000,2200000, Approved
+1911,1, Graduate, No,1800000,5900000,16,804,800000,2500000,5000000,1000000, Approved
+1912,1, Graduate, No,7500000,16000000,10,541,16300000,4500000,22400000,5100000, Rejected
+1913,4, Not Graduate, Yes,6700000,18400000,10,371,1900000,1400000,15700000,4400000, Rejected
+1914,5, Graduate, No,5800000,13700000,6,369,10500000,2700000,12100000,3000000, Rejected
+1915,0, Not Graduate, No,500000,1800000,2,651,700000,0,1700000,200000, Approved
+1916,0, Graduate, Yes,9400000,30700000,10,477,17400000,900000,27500000,6200000, Rejected
+1917,4, Not Graduate, No,1600000,6200000,18,554,3200000,800000,5500000,1100000, Approved
+1918,0, Graduate, Yes,9300000,25000000,14,362,14900000,16100000,32300000,11000000, Rejected
+1919,5, Graduate, No,3700000,14000000,2,469,3800000,600000,8000000,2800000, Approved
+1920,3, Not Graduate, No,900000,1900000,12,547,2400000,400000,3000000,400000, Rejected
+1921,4, Not Graduate, No,500000,1300000,6,809,200000,300000,900000,500000, Approved
+1922,1, Graduate, Yes,7800000,16200000,2,335,4900000,7900000,28700000,6400000, Rejected
+1923,5, Not Graduate, Yes,5300000,13700000,18,708,7600000,900000,19200000,5900000, Approved
+1924,0, Graduate, No,300000,700000,16,779,200000,0,1000000,400000, Approved
+1925,0, Graduate, Yes,5000000,19900000,6,748,8300000,8500000,11300000,3000000, Approved
+1926,0, Graduate, No,7900000,28600000,18,541,400000,3900000,22300000,6700000, Rejected
+1927,4, Graduate, No,5300000,15800000,2,527,3800000,5200000,19700000,3900000, Rejected
+1928,0, Not Graduate, Yes,5500000,15300000,4,859,4600000,9500000,21400000,2900000, Approved
+1929,0, Graduate, No,1500000,5600000,18,604,2000000,2400000,4400000,1800000, Approved
+1930,5, Graduate, No,6600000,20100000,18,348,6900000,2500000,22500000,7200000, Rejected
+1931,4, Graduate, Yes,6200000,16200000,20,734,8800000,4000000,14600000,4400000, Approved
+1932,3, Graduate, No,6300000,17000000,16,388,11700000,2100000,16100000,3200000, Rejected
+1933,0, Graduate, Yes,3800000,8100000,20,831,6500000,1700000,7700000,2000000, Approved
+1934,5, Not Graduate, No,500000,1500000,6,433,-100000,700000,1900000,700000, Rejected
+1935,2, Graduate, Yes,5000000,15900000,16,699,8800000,5900000,18100000,7200000, Approved
+1936,0, Not Graduate, No,4500000,17100000,8,303,7400000,8200000,17400000,4200000, Rejected
+1937,4, Not Graduate, No,1000000,3800000,2,611,1700000,1800000,2500000,600000, Approved
+1938,2, Graduate, No,1700000,3700000,20,558,4100000,1400000,5000000,2500000, Approved
+1939,4, Graduate, Yes,1200000,4800000,2,752,2800000,900000,3000000,600000, Approved
+1940,5, Not Graduate, Yes,8500000,25800000,14,786,13900000,11000000,32400000,11300000, Approved
+1941,0, Graduate, No,8600000,29000000,18,481,21200000,2600000,27700000,5400000, Rejected
+1942,2, Graduate, No,400000,1300000,16,507,200000,200000,1500000,300000, Rejected
+1943,4, Graduate, No,8700000,19800000,14,715,13500000,13400000,32000000,8500000, Approved
+1944,0, Not Graduate, No,1800000,5700000,20,392,3800000,2400000,3500000,1400000, Rejected
+1945,0, Graduate, Yes,4700000,17700000,16,887,1300000,4900000,13200000,6700000, Approved
+1946,0, Not Graduate, No,7300000,21600000,2,479,17900000,12300000,15900000,7500000, Rejected
+1947,2, Graduate, No,8400000,32100000,20,328,16300000,4600000,19500000,8000000, Rejected
+1948,2, Graduate, Yes,4800000,12900000,8,740,9300000,900000,11000000,3700000, Approved
+1949,2, Graduate, No,9200000,34200000,2,456,12200000,11300000,25800000,5700000, Approved
+1950,1, Not Graduate, No,6200000,21100000,10,467,15600000,10500000,23500000,5300000, Rejected
+1951,0, Graduate, Yes,200000,700000,10,587,-100000,100000,500000,100000, Rejected
+1952,0, Not Graduate, Yes,2500000,6700000,16,569,4500000,3400000,6200000,1300000, Approved
+1953,3, Not Graduate, Yes,8000000,24400000,14,399,19100000,5400000,20600000,11600000, Rejected
+1954,1, Not Graduate, No,4600000,15200000,4,593,13800000,3800000,11700000,3900000, Approved
+1955,3, Not Graduate, Yes,4900000,12700000,8,409,2000000,2500000,19300000,4700000, Rejected
+1956,4, Not Graduate, No,9500000,21300000,18,353,22900000,2300000,21400000,11100000, Rejected
+1957,5, Graduate, Yes,4500000,11600000,20,306,4800000,1900000,11900000,5700000, Rejected
+1958,2, Graduate, Yes,5900000,14200000,12,499,9200000,11600000,20200000,4400000, Rejected
+1959,4, Graduate, No,4200000,14600000,6,324,6300000,5900000,11700000,3000000, Rejected
+1960,2, Not Graduate, Yes,3300000,11300000,6,647,5100000,6000000,12800000,4400000, Approved
+1961,2, Graduate, Yes,4900000,12600000,2,767,1100000,7400000,13000000,3800000, Approved
+1962,4, Not Graduate, No,5300000,10700000,12,821,15400000,10200000,17600000,2600000, Approved
+1963,4, Not Graduate, No,7200000,17700000,6,338,9900000,9300000,27800000,7200000, Rejected
+1964,0, Graduate, No,8400000,24300000,4,785,11900000,10100000,26600000,8500000, Approved
+1965,3, Graduate, No,3800000,11800000,4,694,0,500000,8300000,5100000, Approved
+1966,0, Not Graduate, No,9900000,22300000,20,613,28400000,8900000,23600000,4900000, Approved
+1967,4, Graduate, Yes,2900000,8300000,10,318,8700000,4100000,10900000,2100000, Rejected
+1968,3, Not Graduate, Yes,6000000,18700000,18,783,2800000,8500000,20300000,8800000, Approved
+1969,2, Not Graduate, No,1700000,5300000,20,761,2500000,500000,3700000,1200000, Approved
+1970,4, Graduate, Yes,5300000,12000000,10,329,15300000,9300000,17300000,6100000, Rejected
+1971,5, Not Graduate, Yes,7500000,15000000,14,661,12100000,5800000,29900000,4400000, Approved
+1972,4, Not Graduate, No,400000,900000,18,339,700000,200000,800000,200000, Rejected
+1973,1, Graduate, Yes,8300000,17700000,10,673,23700000,5300000,28700000,4200000, Approved
+1974,3, Graduate, No,4500000,16900000,18,748,8500000,7200000,15100000,6600000, Approved
+1975,3, Graduate, No,4600000,10000000,4,702,6800000,1500000,16100000,4500000, Approved
+1976,4, Not Graduate, No,4700000,10300000,12,710,7500000,7700000,16900000,6600000, Approved
+1977,0, Graduate, Yes,900000,3500000,6,331,2400000,1400000,3500000,1100000, Rejected
+1978,1, Not Graduate, No,2400000,7600000,12,372,5700000,4400000,6600000,1400000, Rejected
+1979,0, Not Graduate, Yes,3900000,9600000,10,783,9900000,2100000,10900000,3900000, Approved
+1980,0, Graduate, No,8300000,31400000,18,558,13300000,2900000,25900000,6300000, Approved
+1981,4, Graduate, Yes,4700000,13000000,6,552,5600000,8300000,11900000,2400000, Approved
+1982,4, Not Graduate, No,3900000,10600000,20,544,4100000,3100000,10900000,4900000, Rejected
+1983,2, Not Graduate, No,400000,1000000,6,425,800000,300000,800000,200000, Rejected
+1984,2, Not Graduate, Yes,1700000,5100000,18,321,2000000,2800000,5100000,1500000, Rejected
+1985,2, Graduate, Yes,6100000,15500000,8,758,8900000,4000000,13300000,7200000, Approved
+1986,5, Graduate, Yes,7300000,19600000,10,373,10400000,4700000,19500000,10600000, Rejected
+1987,3, Not Graduate, Yes,300000,500000,6,876,300000,100000,1100000,300000, Approved
+1988,2, Not Graduate, No,4300000,14500000,10,594,11400000,700000,14000000,5300000, Approved
+1989,3, Not Graduate, No,7000000,18400000,18,837,2800000,7900000,15400000,5700000, Approved
+1990,0, Not Graduate, Yes,4900000,16500000,4,600,11100000,2200000,12000000,6500000, Approved
+1991,4, Graduate, No,6200000,12400000,20,547,14200000,10800000,17200000,8000000, Rejected
+1992,1, Not Graduate, No,4100000,15800000,12,431,9700000,7300000,15200000,5700000, Rejected
+1993,0, Not Graduate, Yes,7300000,22600000,12,851,3300000,3400000,24800000,5300000, Approved
+1994,4, Not Graduate, Yes,9200000,28100000,12,760,23200000,9700000,22300000,12900000, Approved
+1995,0, Not Graduate, No,800000,2400000,2,716,700000,1200000,3100000,400000, Approved
+1996,4, Not Graduate, No,2900000,11200000,10,744,6600000,4000000,7300000,1600000, Approved
+1997,3, Not Graduate, No,8100000,21600000,4,740,22400000,3700000,16900000,9900000, Approved
+1998,0, Graduate, No,9300000,20300000,14,759,27000000,11600000,26500000,10900000, Approved
+1999,4, Graduate, Yes,9200000,29400000,14,517,4900000,0,33500000,10100000, Rejected
+2000,3, Not Graduate, Yes,3100000,6300000,18,895,2300000,3400000,10500000,4200000, Approved
+2001,3, Not Graduate, Yes,7000000,15400000,20,315,19900000,7600000,16400000,5900000, Rejected
+2002,4, Not Graduate, No,3900000,8800000,14,527,4600000,4900000,14900000,3100000, Rejected
+2003,3, Graduate, No,5500000,19800000,14,853,7300000,3000000,15500000,3100000, Approved
+2004,0, Graduate, No,6600000,13700000,20,747,3600000,2400000,23900000,6000000, Approved
+2005,2, Not Graduate, No,9900000,31600000,16,892,4200000,17500000,31400000,12700000, Approved
+2006,4, Graduate, Yes,6600000,20500000,8,856,18800000,5400000,15100000,9400000, Approved
+2007,3, Graduate, No,8600000,23600000,4,324,13800000,3800000,28500000,4300000, Rejected
+2008,5, Graduate, No,7900000,28600000,12,812,12100000,14400000,30000000,11700000, Approved
+2009,5, Graduate, Yes,6800000,22600000,2,804,3500000,12500000,18200000,9900000, Approved
+2010,4, Graduate, No,700000,1800000,8,874,1600000,1000000,1300000,300000, Approved
+2011,2, Not Graduate, Yes,3800000,10000000,12,516,2400000,4200000,14200000,5100000, Rejected
+2012,5, Graduate, Yes,6900000,18300000,4,402,12600000,13100000,23200000,6100000, Rejected
+2013,1, Graduate, Yes,3700000,12400000,12,330,3400000,1000000,10400000,2800000, Rejected
+2014,1, Graduate, No,7900000,24000000,12,867,20500000,10000000,30700000,9400000, Approved
+2015,4, Graduate, Yes,8800000,34200000,16,844,18700000,11000000,20700000,10700000, Approved
+2016,5, Not Graduate, Yes,3300000,7800000,8,310,3000000,3900000,8300000,4200000, Rejected
+2017,4, Not Graduate, No,5800000,14200000,20,535,10200000,4000000,21100000,3400000, Rejected
+2018,1, Graduate, Yes,7400000,29500000,16,323,10000000,4400000,29400000,8100000, Rejected
+2019,1, Graduate, No,8200000,25600000,4,686,2000000,5900000,17300000,4400000, Approved
+2020,0, Not Graduate, Yes,3300000,9600000,8,465,6100000,700000,9700000,2000000, Rejected
+2021,4, Graduate, Yes,5300000,10700000,12,547,1000000,10200000,11600000,5700000, Rejected
+2022,1, Not Graduate, No,5700000,19100000,12,649,9400000,10200000,16400000,4500000, Approved
+2023,2, Not Graduate, No,9000000,31000000,14,670,21300000,5400000,31100000,12900000, Approved
+2024,3, Graduate, No,5900000,14400000,10,408,2400000,5100000,23000000,3700000, Rejected
+2025,2, Not Graduate, No,5400000,11900000,6,303,15000000,9200000,15400000,6900000, Rejected
+2026,0, Graduate, No,9800000,34800000,14,497,3000000,2200000,23800000,9600000, Rejected
+2027,4, Graduate, Yes,9800000,34100000,14,740,6500000,16900000,27100000,5100000, Approved
+2028,4, Not Graduate, Yes,3800000,8200000,4,309,10900000,3900000,10200000,3300000, Rejected
+2029,0, Not Graduate, No,9500000,24400000,14,769,14400000,2400000,30800000,14200000, Approved
+2030,3, Graduate, Yes,2500000,7100000,6,420,3800000,3300000,8700000,3000000, Rejected
+2031,1, Graduate, No,1900000,6000000,20,540,1100000,1400000,4300000,1300000, Rejected
+2032,5, Graduate, Yes,4400000,10600000,20,806,9700000,3600000,10800000,2500000, Approved
+2033,4, Graduate, Yes,1400000,2900000,6,723,3800000,0,4700000,1600000, Approved
+2034,5, Not Graduate, Yes,3200000,11800000,16,565,8100000,2700000,9200000,1800000, Approved
+2035,1, Graduate, Yes,3100000,9200000,16,374,2400000,3500000,7100000,3500000, Rejected
+2036,4, Graduate, No,4500000,9900000,10,509,11100000,3100000,12200000,2700000, Rejected
+2037,3, Not Graduate, Yes,9300000,23500000,16,728,3500000,9900000,27300000,9800000, Approved
+2038,2, Graduate, No,6900000,18200000,20,396,15600000,4300000,22900000,5400000, Rejected
+2039,0, Not Graduate, Yes,3900000,8600000,2,667,4300000,6600000,13500000,2000000, Approved
+2040,5, Not Graduate, No,3200000,7400000,12,583,9400000,5500000,10600000,3600000, Approved
+2041,1, Not Graduate, Yes,5600000,21100000,10,459,9700000,1400000,13900000,8100000, Rejected
+2042,4, Not Graduate, Yes,3700000,11900000,18,635,6100000,6400000,11200000,4700000, Approved
+2043,3, Not Graduate, No,8400000,27200000,12,604,21400000,8800000,23700000,4700000, Approved
+2044,0, Not Graduate, Yes,4200000,8900000,14,796,3000000,1600000,13300000,4800000, Approved
+2045,4, Graduate, No,3800000,8500000,10,416,6200000,4800000,14900000,4100000, Rejected
+2046,3, Graduate, No,3200000,8200000,8,311,4900000,5600000,10700000,1600000, Rejected
+2047,1, Graduate, No,9700000,33900000,10,833,24600000,16200000,28300000,6600000, Approved
+2048,1, Not Graduate, Yes,4300000,9400000,6,543,7400000,5200000,14800000,4200000, Rejected
+2049,5, Graduate, Yes,8100000,20300000,18,751,1600000,7900000,31700000,7400000, Approved
+2050,5, Not Graduate, Yes,9400000,23200000,14,885,16900000,1200000,34900000,4700000, Approved
+2051,4, Not Graduate, Yes,8100000,19400000,6,346,7800000,9300000,29300000,4500000, Rejected
+2052,4, Graduate, No,6500000,14500000,4,588,10300000,9500000,22800000,6400000, Approved
+2053,2, Graduate, No,9400000,23100000,4,488,20100000,3500000,28600000,10900000, Rejected
+2054,1, Not Graduate, Yes,2600000,6600000,20,765,2100000,200000,5200000,1300000, Approved
+2055,3, Not Graduate, Yes,8000000,25600000,6,337,8800000,500000,18900000,9800000, Rejected
+2056,1, Graduate, No,4700000,9300000,8,515,1000000,4700000,14600000,5700000, Rejected
+2057,2, Graduate, Yes,7600000,22300000,12,555,2100000,13800000,17700000,7100000, Approved
+2058,1, Graduate, Yes,6800000,27200000,2,702,4600000,2400000,27100000,6300000, Approved
+2059,2, Not Graduate, Yes,6600000,17000000,2,457,100000,1800000,23300000,6700000, Rejected
+2060,2, Graduate, No,8200000,27200000,10,425,11400000,4900000,29300000,4500000, Rejected
+2061,1, Graduate, Yes,4400000,12300000,6,583,2400000,7900000,17200000,6600000, Approved
+2062,1, Not Graduate, No,8300000,29200000,6,877,13700000,9900000,31500000,9500000, Approved
+2063,0, Graduate, No,9200000,36500000,14,522,10500000,5300000,22400000,13200000, Rejected
+2064,5, Not Graduate, Yes,2700000,8700000,20,687,2600000,1200000,9000000,1300000, Approved
+2065,0, Graduate, No,6100000,23600000,20,856,3300000,5200000,17700000,6400000, Approved
+2066,4, Not Graduate, Yes,9100000,33000000,8,543,15700000,14400000,19500000,11200000, Rejected
+2067,5, Not Graduate, Yes,7600000,15400000,14,576,2300000,2800000,24500000,4700000, Approved
+2068,2, Not Graduate, No,7200000,17000000,10,856,18100000,12700000,15800000,6000000, Approved
+2069,0, Graduate, Yes,2600000,8200000,8,722,3500000,4200000,7100000,3200000, Approved
+2070,4, Graduate, Yes,6500000,20200000,12,653,18600000,1400000,23800000,6400000, Approved
+2071,5, Graduate, No,8900000,35500000,16,480,17200000,11300000,25200000,4900000, Rejected
+2072,2, Graduate, Yes,5400000,14300000,14,477,10200000,700000,11100000,5500000, Rejected
+2073,0, Graduate, No,300000,500000,2,885,200000,400000,700000,200000, Approved
+2074,0, Not Graduate, No,8400000,19600000,18,530,17000000,3600000,24200000,12300000, Rejected
+2075,3, Graduate, No,8300000,17200000,8,870,4700000,8800000,18300000,10000000, Approved
+2076,4, Not Graduate, No,1700000,5600000,8,395,2700000,800000,3500000,2400000, Rejected
+2077,2, Not Graduate, No,1500000,4200000,16,771,2500000,800000,5700000,1100000, Approved
+2078,1, Not Graduate, Yes,200000,500000,2,579,500000,100000,500000,100000, Approved
+2079,1, Graduate, Yes,1000000,3700000,14,798,2000000,200000,3800000,1400000, Approved
+2080,3, Not Graduate, Yes,8800000,25100000,8,473,17200000,600000,24400000,12400000, Rejected
+2081,0, Graduate, Yes,1000000,3200000,8,304,500000,600000,3700000,700000, Rejected
+2082,0, Not Graduate, Yes,8600000,23000000,14,678,18800000,16400000,22900000,12000000, Approved
+2083,5, Graduate, Yes,2400000,8900000,2,745,1700000,2000000,9200000,2100000, Approved
+2084,1, Graduate, No,2400000,8900000,8,835,2400000,1200000,5500000,1100000, Approved
+2085,5, Not Graduate, Yes,6000000,12100000,20,848,13900000,4800000,18000000,3600000, Approved
+2086,5, Not Graduate, No,7600000,16300000,18,872,5100000,1900000,20700000,5000000, Approved
+2087,3, Not Graduate, No,8000000,20100000,10,608,9800000,15500000,26100000,5200000, Approved
+2088,0, Graduate, Yes,5400000,19500000,16,758,2600000,2700000,18300000,6000000, Approved
+2089,0, Not Graduate, Yes,1400000,3700000,4,841,3000000,1000000,4600000,1000000, Approved
+2090,0, Not Graduate, Yes,800000,2600000,2,618,300000,1200000,2000000,500000, Approved
+2091,4, Graduate, Yes,300000,1100000,4,457,700000,100000,1100000,400000, Approved
+2092,0, Graduate, No,4100000,14400000,4,844,2700000,6000000,9900000,4200000, Approved
+2093,2, Not Graduate, No,1500000,3800000,4,776,2800000,0,5300000,1400000, Approved
+2094,1, Not Graduate, No,4600000,13900000,8,520,13300000,6400000,9800000,2200000, Rejected
+2095,1, Graduate, Yes,3300000,7500000,12,648,6400000,1700000,8700000,1600000, Approved
+2096,4, Not Graduate, Yes,7900000,31400000,10,654,16500000,15200000,25400000,5000000, Approved
+2097,0, Not Graduate, No,8100000,26500000,20,342,5800000,5600000,23700000,5800000, Rejected
+2098,5, Not Graduate, No,900000,2800000,16,808,2100000,900000,3100000,800000, Approved
+2099,1, Graduate, Yes,4900000,15200000,10,429,5700000,7300000,14400000,3300000, Rejected
+2100,3, Graduate, Yes,6100000,18100000,14,538,11800000,4200000,16200000,7500000, Rejected
+2101,3, Not Graduate, No,4500000,16400000,6,533,1800000,5600000,12200000,3900000, Rejected
+2102,2, Graduate, Yes,2900000,7300000,8,394,7700000,2600000,7700000,4000000, Rejected
+2103,1, Not Graduate, No,7900000,29300000,2,771,17600000,12800000,20400000,4000000, Approved
+2104,5, Graduate, Yes,4100000,10100000,4,792,4400000,6100000,8600000,4900000, Approved
+2105,5, Not Graduate, Yes,7700000,15500000,8,407,6500000,9100000,26300000,4600000, Rejected
+2106,0, Not Graduate, No,5600000,19300000,18,544,6400000,2800000,19900000,6400000, Rejected
+2107,5, Graduate, No,9000000,18000000,18,509,24600000,5200000,20000000,6100000, Rejected
+2108,4, Not Graduate, Yes,6400000,18400000,16,320,17700000,3600000,13900000,8300000, Rejected
+2109,4, Graduate, No,6900000,14700000,2,496,12000000,7000000,15500000,4000000, Rejected
+2110,3, Not Graduate, No,9100000,27400000,18,652,8500000,7300000,31700000,6800000, Approved
+2111,2, Graduate, Yes,1100000,3700000,2,806,2700000,800000,2900000,500000, Approved
+2112,4, Not Graduate, No,1700000,4500000,12,821,3200000,1900000,4900000,1500000, Approved
+2113,5, Graduate, Yes,9200000,28800000,20,618,14300000,10800000,33900000,10600000, Approved
+2114,2, Not Graduate, Yes,8300000,20600000,12,729,22400000,9000000,31400000,8400000, Approved
+2115,5, Not Graduate, Yes,5000000,10600000,6,839,12600000,8600000,19800000,3500000, Approved
+2116,3, Graduate, No,2200000,6400000,2,318,1400000,2100000,4300000,1500000, Rejected
+2117,2, Graduate, No,4500000,9600000,16,404,1800000,6000000,17000000,2700000, Rejected
+2118,5, Not Graduate, Yes,4100000,9000000,6,581,6600000,1500000,11300000,3400000, Approved
+2119,1, Not Graduate, No,2800000,6800000,18,596,7900000,400000,7300000,1500000, Approved
+2120,1, Not Graduate, No,6600000,20700000,4,415,12800000,11900000,17700000,3900000, Approved
+2121,3, Not Graduate, Yes,3200000,7200000,6,728,4800000,2000000,8000000,4600000, Approved
+2122,0, Not Graduate, No,6300000,13300000,2,666,8800000,4000000,14200000,4900000, Approved
+2123,2, Graduate, No,4700000,17700000,14,675,5800000,7200000,13100000,6500000, Approved
+2124,0, Graduate, No,4100000,15400000,16,304,3000000,5200000,16200000,3100000, Rejected
+2125,5, Graduate, Yes,7100000,15500000,4,474,7600000,9000000,22400000,9400000, Rejected
+2126,4, Graduate, Yes,4900000,10200000,18,370,10900000,2200000,13700000,6600000, Rejected
+2127,4, Graduate, No,5600000,20300000,20,596,5100000,10900000,12700000,7900000, Approved
+2128,4, Graduate, No,3400000,8300000,2,567,5700000,1900000,10200000,2700000, Approved
+2129,3, Not Graduate, No,4500000,16100000,16,671,10500000,3600000,12400000,5800000, Approved
+2130,2, Graduate, No,300000,800000,18,819,300000,300000,900000,400000, Approved
+2131,5, Not Graduate, Yes,7600000,23000000,10,829,3100000,7300000,17600000,7300000, Approved
+2132,5, Graduate, No,500000,1200000,12,454,1400000,500000,1000000,300000, Rejected
+2133,0, Graduate, Yes,5900000,15200000,16,399,15200000,3200000,12200000,6500000, Rejected
+2134,0, Graduate, No,7100000,20700000,10,784,9500000,11400000,27900000,8600000, Approved
+2135,2, Not Graduate, Yes,8500000,26900000,6,538,21300000,16400000,21500000,4600000, Rejected
+2136,0, Graduate, Yes,6400000,16900000,16,759,16200000,7100000,15200000,3100000, Approved
+2137,2, Graduate, No,7100000,21400000,12,699,11400000,13400000,22600000,4800000, Approved
+2138,5, Not Graduate, No,1800000,5400000,14,347,3800000,1300000,4900000,1700000, Rejected
+2139,3, Not Graduate, Yes,6600000,25200000,20,598,13100000,3600000,20700000,8600000, Approved
+2140,4, Graduate, Yes,8800000,27100000,2,406,16300000,6200000,26100000,5800000, Approved
+2141,2, Not Graduate, No,4800000,15800000,20,860,1700000,3300000,13400000,5100000, Approved
+2142,5, Graduate, Yes,4400000,16500000,10,806,3500000,4400000,11200000,2800000, Approved
+2143,0, Not Graduate, No,2000000,6900000,2,448,2700000,3800000,7100000,1600000, Approved
+2144,2, Graduate, No,6800000,22600000,20,393,2100000,2200000,20300000,8200000, Rejected
+2145,5, Not Graduate, Yes,6600000,16000000,12,811,13100000,5000000,14700000,5000000, Approved
+2146,2, Graduate, No,3300000,7900000,20,829,4800000,2100000,13200000,2600000, Approved
+2147,3, Not Graduate, No,7400000,23400000,16,700,19300000,3000000,20700000,8900000, Approved
+2148,0, Not Graduate, Yes,4500000,12400000,18,719,10300000,200000,9200000,3100000, Approved
+2149,1, Not Graduate, Yes,9500000,30500000,12,430,5400000,8000000,30800000,10500000, Rejected
+2150,1, Graduate, No,800000,3000000,4,338,900000,1000000,2600000,400000, Approved
+2151,2, Graduate, No,4000000,13000000,4,695,6400000,6900000,15400000,4300000, Approved
+2152,2, Not Graduate, No,7000000,25700000,18,374,3400000,13700000,14900000,4500000, Rejected
+2153,3, Graduate, No,3500000,8500000,18,609,7300000,0,12700000,2500000, Approved
+2154,3, Graduate, Yes,9700000,36000000,6,631,3500000,5500000,28500000,7500000, Approved
+2155,0, Not Graduate, No,3400000,10800000,6,439,5300000,1400000,11600000,1900000, Rejected
+2156,1, Graduate, Yes,4600000,13500000,20,837,5600000,7700000,11900000,2500000, Approved
+2157,4, Graduate, No,3800000,10400000,10,833,7500000,2500000,14100000,4200000, Approved
+2158,4, Not Graduate, Yes,4200000,9600000,20,863,7400000,900000,9100000,3400000, Approved
+2159,2, Graduate, No,2500000,8700000,4,684,0,600000,9700000,2600000, Approved
+2160,0, Not Graduate, Yes,7000000,24600000,6,542,6400000,2600000,24500000,4700000, Rejected
+2161,1, Not Graduate, No,5300000,11500000,8,753,10000000,4200000,14400000,3000000, Approved
+2162,0, Not Graduate, No,6400000,14200000,2,512,1600000,9200000,23100000,3500000, Rejected
+2163,3, Not Graduate, No,3400000,8100000,12,385,6100000,4000000,10700000,4000000, Rejected
+2164,4, Not Graduate, No,6700000,18800000,2,749,15600000,7900000,19900000,8600000, Approved
+2165,1, Not Graduate, Yes,4600000,10100000,4,618,2200000,100000,12900000,4300000, Approved
+2166,4, Graduate, Yes,900000,2500000,4,583,1300000,800000,1800000,1100000, Approved
+2167,0, Graduate, No,5100000,19900000,18,655,4400000,0,17100000,7100000, Approved
+2168,0, Not Graduate, Yes,7000000,20900000,20,380,11800000,10800000,21100000,6200000, Rejected
+2169,3, Graduate, Yes,4100000,14700000,6,679,6600000,3700000,10500000,5600000, Approved
+2170,2, Graduate, No,4600000,14800000,6,410,12900000,6800000,16100000,5800000, Rejected
+2171,2, Graduate, Yes,3600000,11500000,8,590,1600000,5200000,10900000,3000000, Approved
+2172,5, Graduate, No,5900000,13800000,14,397,12400000,600000,20400000,3000000, Rejected
+2173,2, Graduate, No,600000,2100000,16,425,900000,500000,2300000,300000, Rejected
+2174,0, Graduate, No,4900000,16400000,2,383,3300000,3500000,15000000,5800000, Approved
+2175,5, Graduate, Yes,6400000,23900000,6,406,14700000,12400000,25400000,4300000, Rejected
+2176,2, Graduate, No,7000000,19800000,10,563,3900000,9400000,22800000,8000000, Approved
+2177,3, Graduate, Yes,6700000,13400000,14,782,4900000,4000000,25800000,9600000, Approved
+2178,1, Not Graduate, Yes,800000,2200000,4,852,900000,200000,2200000,1000000, Approved
+2179,5, Not Graduate, No,7600000,27800000,2,753,18400000,12200000,16900000,8000000, Approved
+2180,5, Graduate, Yes,3200000,7600000,4,489,5000000,2900000,10600000,1900000, Rejected
+2181,2, Not Graduate, Yes,4900000,13800000,2,586,9900000,1400000,9900000,7000000, Approved
+2182,3, Not Graduate, No,7200000,20800000,16,560,2100000,10700000,21100000,3600000, Approved
+2183,3, Graduate, No,5600000,20600000,6,487,6400000,9700000,20200000,4100000, Rejected
+2184,4, Graduate, Yes,7300000,18300000,8,434,10000000,2900000,26800000,6700000, Rejected
+2185,4, Not Graduate, No,3300000,7000000,20,504,8200000,3200000,7300000,2500000, Rejected
+2186,2, Graduate, Yes,9200000,25300000,4,827,25900000,15900000,19300000,11000000, Approved
+2187,3, Not Graduate, Yes,8100000,23300000,20,657,15700000,2900000,28100000,6200000, Approved
+2188,5, Graduate, No,6600000,21400000,10,447,12700000,11100000,20200000,6400000, Rejected
+2189,0, Graduate, Yes,4200000,13600000,4,834,8700000,3400000,12000000,3100000, Approved
+2190,2, Graduate, No,5800000,21700000,8,354,12500000,2300000,12200000,6800000, Rejected
+2191,2, Graduate, Yes,5600000,21000000,18,883,9800000,1600000,20900000,6000000, Approved
+2192,0, Not Graduate, Yes,3600000,9900000,12,641,10300000,2400000,9100000,2700000, Approved
+2193,1, Graduate, Yes,7700000,16900000,6,621,22600000,7900000,27400000,10200000, Approved
+2194,0, Graduate, Yes,7800000,23300000,10,587,12500000,9300000,27500000,9700000, Approved
+2195,3, Not Graduate, No,5700000,15400000,16,424,4700000,3000000,16400000,5600000, Rejected
+2196,5, Graduate, No,6300000,20500000,14,515,4300000,3600000,18300000,9100000, Rejected
+2197,5, Not Graduate, Yes,2300000,4700000,18,592,1600000,3900000,6200000,2800000, Approved
+2198,4, Graduate, Yes,9600000,19900000,6,319,3200000,16500000,28100000,6600000, Rejected
+2199,1, Not Graduate, Yes,1000000,3900000,16,360,2500000,300000,2100000,600000, Rejected
+2200,5, Graduate, Yes,7200000,27100000,12,535,8400000,12800000,28100000,4800000, Rejected
+2201,2, Not Graduate, Yes,3800000,11400000,16,666,9000000,2400000,8000000,3800000, Approved
+2202,4, Not Graduate, Yes,9300000,24600000,16,419,18100000,0,26700000,5100000, Rejected
+2203,2, Not Graduate, Yes,7200000,21900000,12,640,0,11400000,14600000,3800000, Approved
+2204,0, Graduate, No,7600000,19700000,12,545,4300000,5200000,29500000,7300000, Rejected
+2205,4, Graduate, No,4500000,15300000,10,843,13200000,6900000,10800000,2200000, Approved
+2206,1, Not Graduate, Yes,9900000,30900000,20,559,12100000,6100000,38600000,12100000, Approved
+2207,0, Not Graduate, Yes,700000,2000000,18,650,400000,1300000,2800000,500000, Approved
+2208,0, Graduate, No,3500000,12300000,16,479,9700000,6000000,7900000,4700000, Rejected
+2209,1, Graduate, Yes,300000,1000000,14,324,100000,100000,1100000,100000, Rejected
+2210,5, Not Graduate, Yes,5400000,16700000,2,354,1100000,4500000,19300000,5200000, Approved
+2211,4, Not Graduate, Yes,2800000,8400000,10,521,1500000,1200000,9100000,3700000, Rejected
+2212,5, Not Graduate, Yes,4900000,15900000,8,505,12400000,4900000,14900000,6100000, Rejected
+2213,4, Not Graduate, No,600000,1700000,12,436,400000,0,1700000,700000, Rejected
+2214,0, Graduate, No,3000000,8100000,6,683,3200000,4900000,10200000,3200000, Approved
+2215,0, Graduate, No,1800000,5800000,18,348,2900000,700000,6700000,1000000, Rejected
+2216,4, Graduate, Yes,5100000,15700000,6,867,11200000,8300000,19200000,3600000, Approved
+2217,5, Graduate, No,1400000,4100000,14,880,3700000,1800000,2800000,2100000, Approved
+2218,2, Graduate, Yes,6700000,25500000,10,673,11100000,8600000,25100000,5000000, Approved
+2219,3, Not Graduate, No,4300000,12600000,18,482,9300000,900000,13200000,6100000, Rejected
+2220,3, Graduate, Yes,7800000,19600000,4,767,18100000,10500000,20500000,7700000, Approved
+2221,3, Not Graduate, No,5400000,15800000,18,760,12700000,2300000,16400000,7200000, Approved
+2222,0, Not Graduate, No,500000,1900000,2,857,1100000,500000,1800000,300000, Approved
+2223,1, Graduate, No,8600000,26700000,10,735,11800000,9100000,20700000,11200000, Approved
+2224,3, Graduate, No,2500000,9300000,4,810,2700000,3300000,9400000,3700000, Approved
+2225,4, Not Graduate, No,3000000,7200000,2,680,900000,3400000,9600000,1700000, Approved
+2226,5, Not Graduate, Yes,7000000,26900000,4,889,1400000,4200000,22400000,7400000, Approved
+2227,1, Not Graduate, Yes,400000,1500000,16,688,400000,300000,1200000,200000, Approved
+2228,5, Not Graduate, No,5200000,13700000,16,531,8800000,4500000,15700000,2900000, Rejected
+2229,3, Graduate, No,3300000,11100000,2,660,6500000,3700000,12300000,4500000, Approved
+2230,1, Not Graduate, Yes,2400000,8800000,18,414,3600000,2200000,7100000,2500000, Rejected
+2231,4, Graduate, Yes,5800000,15800000,14,528,6300000,100000,21400000,8700000, Rejected
+2232,4, Not Graduate, Yes,9400000,20000000,12,817,3600000,1600000,34400000,8000000, Approved
+2233,2, Not Graduate, No,6100000,15300000,2,799,7100000,5500000,17800000,5300000, Approved
+2234,1, Graduate, Yes,7500000,21400000,20,655,13000000,10300000,28100000,8100000, Approved
+2235,2, Not Graduate, No,4100000,16200000,6,546,3500000,3100000,15100000,3700000, Rejected
+2236,3, Not Graduate, No,8500000,30800000,14,745,11000000,8200000,19400000,7200000, Approved
+2237,0, Graduate, No,4300000,16900000,8,884,6500000,5400000,12000000,3700000, Approved
+2238,5, Not Graduate, No,9300000,22000000,4,822,20900000,10000000,24200000,12100000, Approved
+2239,4, Not Graduate, No,6000000,18700000,2,623,4300000,4000000,19100000,5700000, Approved
+2240,1, Not Graduate, Yes,5300000,18900000,16,361,300000,5000000,11900000,5500000, Rejected
+2241,5, Not Graduate, Yes,7400000,16200000,2,778,17000000,2700000,19400000,9200000, Approved
+2242,1, Not Graduate, Yes,1100000,3800000,8,779,600000,1800000,4000000,1600000, Approved
+2243,1, Graduate, Yes,6600000,20700000,4,594,4800000,200000,26400000,8900000, Approved
+2244,3, Graduate, No,8200000,28300000,2,530,15000000,10500000,20200000,12100000, Approved
+2245,3, Not Graduate, No,3300000,9300000,12,324,5300000,2600000,7500000,2000000, Rejected
+2246,4, Graduate, Yes,2500000,9000000,10,394,6700000,2000000,7300000,3000000, Rejected
+2247,3, Graduate, Yes,3300000,10400000,12,816,7100000,6300000,11800000,4900000, Approved
+2248,5, Not Graduate, No,1000000,2300000,16,423,1700000,700000,2900000,1400000, Rejected
+2249,5, Graduate, Yes,6200000,12800000,2,539,5600000,9800000,22300000,4800000, Rejected
+2250,1, Graduate, No,7000000,21000000,20,554,16900000,6600000,14600000,5600000, Approved
+2251,2, Graduate, Yes,7000000,19000000,6,523,5300000,9300000,25800000,9500000, Rejected
+2252,1, Not Graduate, Yes,5300000,12000000,10,852,400000,10400000,18900000,5000000, Approved
+2253,0, Not Graduate, Yes,1800000,3700000,2,505,3900000,2400000,4500000,1400000, Rejected
+2254,0, Graduate, Yes,2300000,7900000,10,430,6600000,2800000,8100000,1900000, Rejected
+2255,2, Graduate, No,4000000,9200000,16,784,3200000,600000,13000000,4900000, Approved
+2256,1, Not Graduate, No,8900000,24000000,6,380,16500000,7400000,27700000,7500000, Rejected
+2257,3, Graduate, No,8000000,18600000,20,565,1600000,8600000,22500000,9400000, Approved
+2258,4, Graduate, Yes,7900000,26900000,14,446,17900000,7300000,16500000,8200000, Rejected
+2259,5, Graduate, Yes,6700000,20200000,8,406,6900000,4900000,15300000,7100000, Rejected
+2260,4, Not Graduate, No,2400000,6000000,6,712,6800000,2200000,6000000,1200000, Approved
+2261,4, Not Graduate, No,8600000,22600000,14,729,300000,16200000,20500000,11900000, Approved
+2262,1, Not Graduate, Yes,5300000,14600000,20,508,11200000,2800000,17000000,4600000, Rejected
+2263,0, Graduate, No,7400000,24900000,20,648,7100000,7900000,23300000,6200000, Approved
+2264,0, Not Graduate, Yes,8700000,18700000,10,346,1200000,1800000,30700000,8200000, Rejected
+2265,5, Graduate, No,8200000,18500000,4,394,9600000,5700000,27400000,11100000, Rejected
+2266,0, Not Graduate, Yes,3700000,9700000,12,501,2600000,6600000,9200000,4600000, Rejected
+2267,5, Not Graduate, Yes,9200000,36300000,2,655,3000000,1200000,32200000,8700000, Approved
+2268,4, Not Graduate, No,6100000,20900000,4,662,10200000,7000000,23300000,4100000, Approved
+2269,2, Graduate, Yes,8800000,30800000,20,820,700000,4800000,25900000,12700000, Approved
+2270,5, Not Graduate, No,9200000,18900000,10,521,8300000,14500000,23400000,6900000, Rejected
+2271,3, Graduate, No,7200000,27900000,12,473,21100000,8800000,27800000,8700000, Rejected
+2272,1, Graduate, No,600000,1200000,10,561,900000,300000,1400000,600000, Approved
+2273,5, Graduate, No,8000000,23100000,20,461,5900000,2400000,29300000,7200000, Rejected
+2274,4, Graduate, Yes,6900000,13800000,16,715,2100000,6100000,20900000,8200000, Approved
+2275,0, Not Graduate, Yes,4300000,15600000,18,440,6200000,1300000,10000000,4700000, Rejected
+2276,3, Not Graduate, Yes,8500000,24900000,18,749,9600000,1200000,31700000,10100000, Approved
+2277,4, Not Graduate, No,8600000,17400000,2,787,11700000,10600000,18400000,10600000, Approved
+2278,3, Graduate, No,6300000,13900000,18,748,17700000,8800000,21700000,8600000, Approved
+2279,3, Not Graduate, Yes,5800000,13600000,12,321,1700000,3300000,22300000,3400000, Rejected
+2280,3, Graduate, Yes,1000000,2300000,10,303,1000000,400000,2500000,1000000, Rejected
+2281,0, Not Graduate, Yes,1700000,5400000,8,682,2400000,1000000,3900000,2100000, Approved
+2282,2, Not Graduate, No,3200000,8600000,18,638,1000000,4900000,8600000,3500000, Approved
+2283,0, Graduate, Yes,7500000,16600000,14,440,17200000,14500000,24100000,10300000, Rejected
+2284,1, Not Graduate, Yes,2000000,6600000,10,873,1400000,200000,6300000,2400000, Approved
+2285,3, Not Graduate, No,9100000,19700000,20,437,6300000,13700000,23700000,12900000, Rejected
+2286,4, Graduate, Yes,8400000,19700000,8,796,17900000,9200000,20200000,7700000, Approved
+2287,4, Graduate, No,7100000,27200000,16,824,2400000,8000000,22400000,3900000, Approved
+2288,2, Not Graduate, No,200000,800000,6,338,100000,0,400000,100000, Rejected
+2289,0, Not Graduate, Yes,5000000,14900000,12,575,12800000,1500000,12300000,6600000, Approved
+2290,0, Not Graduate, Yes,4500000,16900000,8,773,6300000,6800000,14000000,6000000, Approved
+2291,2, Not Graduate, Yes,5100000,19700000,2,733,0,4500000,12900000,6200000, Approved
+2292,3, Graduate, Yes,4100000,10600000,14,475,5400000,4300000,13900000,4500000, Rejected
+2293,1, Not Graduate, No,7200000,15000000,10,677,10600000,3900000,24500000,4100000, Approved
+2294,3, Not Graduate, No,7800000,17700000,6,403,12600000,3700000,24700000,10000000, Rejected
+2295,3, Graduate, Yes,7500000,25300000,12,767,13200000,10800000,19400000,9600000, Approved
+2296,3, Graduate, Yes,6400000,21000000,2,813,3900000,10900000,20500000,4400000, Approved
+2297,4, Graduate, No,7000000,25700000,20,597,19900000,13500000,27500000,10100000, Approved
+2298,4, Not Graduate, Yes,9000000,31100000,8,896,7100000,4400000,23400000,13100000, Approved
+2299,2, Not Graduate, Yes,4400000,13900000,6,810,13200000,4200000,15000000,5200000, Approved
+2300,2, Not Graduate, No,900000,2000000,14,337,1700000,0,2100000,600000, Rejected
+2301,1, Graduate, No,9800000,26900000,18,792,15900000,14100000,25200000,11900000, Approved
+2302,4, Not Graduate, No,600000,1600000,6,784,300000,100000,1900000,500000, Approved
+2303,5, Graduate, Yes,9700000,30100000,12,434,19600000,17900000,21000000,6900000, Rejected
+2304,2, Graduate, Yes,8400000,32600000,10,384,13900000,1600000,21600000,7000000, Rejected
+2305,1, Graduate, No,8300000,24900000,10,642,11500000,15400000,21600000,5800000, Approved
+2306,4, Graduate, No,7900000,29900000,8,314,22000000,4600000,26000000,8100000, Rejected
+2307,1, Not Graduate, No,8600000,25900000,2,606,3700000,14900000,32700000,12200000, Approved
+2308,5, Not Graduate, Yes,6700000,17600000,14,843,12700000,200000,19500000,5600000, Approved
+2309,0, Graduate, No,2700000,7400000,10,778,6800000,800000,5600000,2800000, Approved
+2310,0, Not Graduate, No,6600000,25600000,8,718,12600000,12200000,21700000,9000000, Approved
+2311,1, Graduate, Yes,7100000,20800000,20,437,9600000,7300000,24700000,8800000, Rejected
+2312,5, Graduate, Yes,300000,700000,10,586,0,400000,1000000,100000, Approved
+2313,2, Graduate, No,2200000,7000000,6,777,6100000,400000,4400000,3300000, Approved
+2314,1, Graduate, Yes,8700000,31700000,12,525,7800000,10200000,30300000,6100000, Rejected
+2315,4, Graduate, No,7200000,23100000,12,632,4600000,8500000,19400000,4400000, Approved
+2316,0, Not Graduate, No,2000000,4800000,20,337,1300000,2200000,5500000,1700000, Rejected
+2317,4, Graduate, Yes,8600000,27900000,8,458,22400000,1800000,34000000,11700000, Rejected
+2318,2, Graduate, Yes,2300000,5400000,8,364,4500000,500000,7000000,2000000, Rejected
+2319,2, Not Graduate, Yes,9600000,29800000,16,499,28500000,6300000,31800000,7400000, Rejected
+2320,2, Graduate, Yes,1900000,6500000,16,887,2000000,1200000,4500000,1700000, Approved
+2321,1, Graduate, No,2100000,6300000,16,882,3900000,2200000,7700000,2900000, Approved
+2322,1, Not Graduate, Yes,3900000,8700000,8,817,900000,2500000,10700000,2100000, Approved
+2323,5, Not Graduate, Yes,200000,300000,10,704,500000,100000,800000,200000, Approved
+2324,1, Not Graduate, Yes,1900000,4500000,12,742,1200000,2000000,4400000,1200000, Approved
+2325,0, Not Graduate, Yes,3200000,11600000,4,393,4700000,300000,8000000,3100000, Approved
+2326,0, Not Graduate, No,1100000,4300000,18,828,700000,800000,2900000,900000, Approved
+2327,5, Graduate, Yes,8000000,21500000,12,779,2600000,15100000,29800000,10400000, Approved
+2328,4, Graduate, Yes,6100000,21700000,6,860,13900000,900000,14100000,5600000, Approved
+2329,5, Graduate, No,3200000,10600000,2,432,6500000,3700000,11200000,3700000, Approved
+2330,4, Graduate, Yes,9000000,30400000,20,532,21000000,7400000,30500000,13100000, Rejected
+2331,0, Not Graduate, Yes,1200000,3200000,2,678,1500000,1000000,3400000,900000, Approved
+2332,3, Graduate, No,7900000,27000000,6,601,17700000,7800000,27600000,11500000, Approved
+2333,3, Graduate, Yes,7700000,23100000,8,807,2900000,9800000,20400000,7000000, Approved
+2334,2, Not Graduate, No,4400000,16500000,16,879,7800000,7500000,10300000,5400000, Approved
+2335,1, Not Graduate, No,3100000,11200000,18,665,2000000,5400000,12000000,2500000, Approved
+2336,5, Not Graduate, Yes,2600000,9300000,16,697,5100000,1200000,7700000,3700000, Approved
+2337,4, Graduate, No,5500000,21700000,14,867,5000000,8700000,15200000,3100000, Approved
+2338,1, Graduate, No,5700000,15500000,8,544,10500000,8700000,20900000,7000000, Rejected
+2339,5, Graduate, No,6100000,20700000,20,482,9400000,2000000,16900000,5900000, Rejected
+2340,2, Graduate, No,8200000,22500000,18,857,13400000,14300000,28400000,8400000, Approved
+2341,1, Graduate, No,6000000,21200000,12,549,17900000,8200000,16900000,6200000, Rejected
+2342,1, Graduate, Yes,8000000,30600000,10,720,23700000,8500000,24900000,9700000, Approved
+2343,4, Not Graduate, No,2000000,4800000,8,302,1500000,800000,4000000,2600000, Rejected
+2344,5, Graduate, Yes,1300000,2900000,12,669,400000,1700000,3900000,1800000, Approved
+2345,1, Graduate, No,7000000,27100000,6,591,6700000,12200000,21500000,4900000, Approved
+2346,3, Graduate, No,4100000,15300000,6,440,7500000,5100000,8200000,2000000, Rejected
+2347,3, Graduate, No,8000000,26200000,16,890,15800000,4300000,25000000,4000000, Approved
+2348,4, Not Graduate, No,8100000,28000000,8,663,8800000,11300000,26000000,5500000, Approved
+2349,4, Graduate, Yes,9500000,22600000,14,433,10000000,900000,23100000,13400000, Rejected
+2350,0, Graduate, No,9200000,22500000,10,317,14200000,17400000,28500000,10700000, Rejected
+2351,2, Graduate, No,3900000,14700000,16,360,2600000,200000,8300000,2900000, Rejected
+2352,1, Graduate, No,9100000,26200000,8,727,20800000,7100000,27800000,8900000, Approved
+2353,3, Graduate, Yes,3000000,8300000,4,685,2900000,5400000,11300000,3800000, Approved
+2354,4, Graduate, No,2000000,4300000,8,373,2000000,2700000,7700000,2200000, Rejected
+2355,5, Graduate, No,6300000,14600000,8,469,13300000,10100000,24500000,3800000, Rejected
+2356,3, Not Graduate, Yes,4100000,10900000,8,548,8800000,5200000,13200000,4300000, Rejected
+2357,0, Not Graduate, No,9800000,29400000,20,618,1200000,14600000,33800000,8300000, Approved
+2358,2, Graduate, No,5200000,15400000,8,658,1200000,7500000,12800000,3200000, Approved
+2359,3, Graduate, No,7600000,28700000,18,781,21300000,12400000,29600000,8000000, Approved
+2360,3, Not Graduate, No,9200000,35500000,2,715,11100000,11800000,19800000,11700000, Approved
+2361,5, Not Graduate, No,2200000,8100000,4,409,300000,0,4900000,2400000, Rejected
+2362,2, Not Graduate, Yes,8300000,20600000,10,504,100000,900000,33200000,6700000, Rejected
+2363,3, Graduate, Yes,6100000,21600000,16,428,2900000,6100000,15100000,7200000, Rejected
+2364,2, Graduate, No,4500000,16600000,20,704,6400000,4200000,16900000,2400000, Approved
+2365,3, Not Graduate, No,6600000,18800000,12,834,18800000,9300000,13700000,4800000, Approved
+2366,4, Not Graduate, No,8900000,34900000,14,694,15400000,2800000,20600000,9100000, Approved
+2367,4, Graduate, Yes,3900000,13300000,20,453,9800000,500000,12300000,4700000, Rejected
+2368,3, Graduate, Yes,8900000,35400000,14,404,22300000,7700000,26400000,5900000, Rejected
+2369,5, Not Graduate, No,6400000,22300000,12,776,500000,9100000,24100000,5800000, Approved
+2370,1, Not Graduate, Yes,9500000,28700000,16,526,24600000,4900000,31800000,6600000, Rejected
+2371,3, Graduate, Yes,300000,1000000,8,641,700000,200000,1100000,200000, Approved
+2372,5, Not Graduate, No,4100000,12300000,6,582,10900000,6100000,14100000,3500000, Approved
+2373,2, Graduate, No,8100000,20800000,18,778,4100000,15500000,16700000,10600000, Approved
+2374,4, Graduate, No,9900000,28400000,10,763,23700000,12700000,35800000,5800000, Approved
+2375,0, Not Graduate, No,4800000,19000000,12,650,7000000,1000000,15600000,4800000, Approved
+2376,0, Graduate, Yes,2900000,9700000,2,820,6700000,1600000,9100000,3900000, Approved
+2377,1, Not Graduate, Yes,3500000,13500000,12,824,8400000,3900000,11600000,4100000, Approved
+2378,1, Not Graduate, Yes,4900000,12600000,4,718,11800000,7300000,11800000,3800000, Approved
+2379,2, Not Graduate, Yes,5100000,13300000,14,313,5900000,7900000,18000000,3900000, Rejected
+2380,5, Graduate, No,7300000,26200000,10,751,1400000,12200000,26700000,10400000, Approved
+2381,0, Graduate, Yes,200000,300000,18,520,100000,300000,600000,100000, Rejected
+2382,2, Graduate, No,1400000,4700000,4,355,2100000,600000,4400000,1400000, Approved
+2383,3, Graduate, Yes,8700000,33600000,14,314,7700000,10000000,21700000,6200000, Rejected
+2384,1, Not Graduate, Yes,2800000,5900000,20,728,1000000,3200000,10300000,1400000, Approved
+2385,3, Graduate, Yes,9100000,30100000,14,564,26600000,7300000,22700000,8200000, Approved
+2386,0, Not Graduate, Yes,6800000,15300000,14,699,19900000,2600000,13900000,8300000, Approved
+2387,0, Not Graduate, Yes,5000000,17000000,6,624,6700000,6200000,15400000,5900000, Approved
+2388,0, Graduate, Yes,4400000,16800000,14,795,8700000,8700000,12600000,3400000, Approved
+2389,5, Not Graduate, Yes,8400000,18600000,20,703,2500000,7100000,28800000,9500000, Approved
+2390,4, Graduate, No,7800000,17300000,4,394,3600000,13100000,24300000,7200000, Rejected
+2391,4, Graduate, Yes,4800000,9900000,14,779,5200000,9300000,18600000,2900000, Approved
+2392,1, Graduate, No,3200000,8800000,4,405,1000000,2600000,10700000,3400000, Rejected
+2393,5, Graduate, Yes,2300000,6700000,16,612,6700000,3300000,8800000,2000000, Approved
+2394,5, Not Graduate, Yes,9200000,28100000,10,448,22300000,3300000,33200000,10700000, Rejected
+2395,2, Not Graduate, Yes,4700000,13700000,6,506,1300000,7900000,16700000,3500000, Rejected
+2396,0, Not Graduate, Yes,8000000,30400000,2,776,16600000,1400000,29100000,7800000, Approved
+2397,1, Graduate, Yes,2600000,8600000,6,730,800000,2900000,6000000,3100000, Approved
+2398,3, Not Graduate, No,200000,800000,20,730,0,300000,400000,300000, Approved
+2399,5, Graduate, No,7300000,17200000,2,345,6100000,8400000,23200000,4900000, Rejected
+2400,4, Not Graduate, No,3300000,11800000,2,847,7800000,2400000,12100000,3000000, Approved
+2401,4, Not Graduate, No,8300000,23300000,20,398,18500000,11500000,17100000,9900000, Rejected
+2402,5, Not Graduate, Yes,4100000,9600000,2,307,8800000,7800000,8500000,3100000, Rejected
+2403,1, Not Graduate, No,7300000,23700000,16,852,9400000,6800000,22600000,8500000, Approved
+2404,1, Not Graduate, No,9300000,27500000,6,364,12200000,13800000,25300000,10800000, Rejected
+2405,2, Graduate, Yes,4300000,15200000,12,552,3400000,2100000,12700000,4800000, Approved
+2406,3, Not Graduate, No,2600000,8100000,2,421,4200000,3100000,6200000,2500000, Approved
+2407,5, Graduate, No,2900000,9800000,12,588,5900000,2300000,6800000,2900000, Approved
+2408,2, Graduate, Yes,900000,3500000,6,763,2300000,300000,2000000,600000, Approved
+2409,3, Not Graduate, Yes,4900000,17500000,20,823,12600000,8700000,14300000,4800000, Approved
+2410,0, Graduate, No,7700000,24800000,10,642,16800000,10700000,27400000,4500000, Approved
+2411,1, Graduate, No,4700000,16800000,12,647,10400000,8300000,10600000,3400000, Approved
+2412,5, Not Graduate, No,3000000,8900000,20,886,2600000,1000000,10600000,2800000, Approved
+2413,4, Not Graduate, No,9700000,26200000,4,518,26200000,0,22500000,14000000, Rejected
+2414,0, Graduate, Yes,6900000,26800000,20,515,10800000,2500000,16700000,8300000, Rejected
+2415,2, Not Graduate, Yes,3800000,12400000,8,340,1800000,2600000,9700000,2600000, Rejected
+2416,3, Not Graduate, Yes,600000,1700000,14,521,0,1000000,1700000,600000, Rejected
+2417,2, Not Graduate, Yes,1200000,2900000,12,330,400000,1600000,3800000,600000, Rejected
+2418,4, Not Graduate, Yes,7800000,26800000,2,474,8900000,11200000,18400000,5600000, Approved
+2419,0, Not Graduate, No,9000000,35100000,6,898,500000,16200000,20700000,9100000, Approved
+2420,1, Not Graduate, No,2800000,9100000,12,436,3600000,500000,7800000,3600000, Rejected
+2421,1, Not Graduate, No,7800000,21300000,10,326,22800000,10700000,18500000,4500000, Rejected
+2422,4, Graduate, Yes,4700000,9500000,18,876,11800000,6600000,18000000,4100000, Approved
+2423,2, Graduate, No,4600000,17500000,20,597,11400000,6100000,14100000,4100000, Approved
+2424,4, Graduate, No,5100000,16100000,14,436,11400000,2700000,13100000,6700000, Rejected
+2425,3, Not Graduate, Yes,6100000,22800000,18,640,16800000,7300000,19600000,6000000, Approved
+2426,0, Not Graduate, No,6000000,22900000,16,302,12200000,6500000,17700000,7100000, Rejected
+2427,2, Not Graduate, No,8400000,23200000,16,476,15200000,5400000,18700000,8600000, Rejected
+2428,2, Graduate, No,9300000,22000000,14,393,4300000,3800000,28400000,13900000, Rejected
+2429,0, Graduate, No,4200000,10300000,10,506,9300000,4500000,12400000,6000000, Rejected
+2430,3, Graduate, No,9600000,37800000,10,418,6700000,5500000,34900000,11300000, Rejected
+2431,3, Graduate, No,5600000,13400000,6,865,14900000,9700000,12300000,6000000, Approved
+2432,4, Graduate, No,7800000,28600000,2,703,500000,12400000,29500000,10500000, Approved
+2433,2, Graduate, Yes,4500000,12600000,2,568,6900000,3900000,17800000,2900000, Approved
+2434,3, Graduate, No,2400000,5900000,2,425,1100000,500000,7400000,2500000, Rejected
+2435,0, Not Graduate, No,3900000,11300000,12,305,5000000,5900000,8800000,2100000, Rejected
+2436,5, Graduate, Yes,9600000,20600000,6,456,17300000,11000000,21700000,11600000, Rejected
+2437,4, Not Graduate, No,900000,2600000,2,602,600000,800000,3200000,1000000, Approved
+2438,3, Graduate, Yes,1100000,3800000,20,814,1400000,1500000,3200000,1100000, Approved
+2439,4, Not Graduate, No,6400000,24900000,2,640,10000000,5700000,18700000,6300000, Approved
+2440,2, Graduate, No,4600000,15000000,4,817,7200000,2400000,13000000,6600000, Approved
+2441,4, Graduate, No,7600000,29800000,20,361,13800000,5800000,15300000,5900000, Rejected
+2442,5, Not Graduate, No,6800000,20100000,14,839,1900000,600000,15600000,7500000, Approved
+2443,5, Graduate, No,7100000,27000000,20,592,5100000,9600000,20200000,7600000, Approved
+2444,4, Not Graduate, Yes,6700000,24700000,6,498,12900000,700000,18800000,8400000, Rejected
+2445,5, Not Graduate, Yes,5800000,12400000,6,847,5100000,9000000,14100000,7600000, Approved
+2446,0, Graduate, Yes,8600000,29400000,16,643,1000000,14100000,33000000,12300000, Approved
+2447,0, Graduate, Yes,3500000,10600000,4,389,8300000,4800000,9100000,2500000, Approved
+2448,2, Graduate, Yes,4800000,17500000,20,381,400000,6900000,13400000,7000000, Rejected
+2449,5, Graduate, Yes,6100000,14400000,16,400,9200000,2800000,23800000,5600000, Rejected
+2450,5, Graduate, Yes,5200000,12700000,16,718,11700000,100000,18100000,7200000, Approved
+2451,5, Not Graduate, Yes,4100000,12400000,8,309,8200000,1000000,13000000,3300000, Rejected
+2452,5, Not Graduate, No,3200000,7400000,2,838,2200000,2900000,10200000,3600000, Approved
+2453,3, Not Graduate, Yes,7500000,21600000,14,678,8800000,12100000,20100000,11200000, Approved
+2454,2, Not Graduate, Yes,1500000,4500000,14,826,3200000,1700000,4600000,1600000, Approved
+2455,4, Graduate, Yes,1200000,3100000,16,348,1200000,2200000,3500000,1700000, Rejected
+2456,1, Graduate, Yes,8400000,19700000,6,476,24700000,16500000,31800000,12100000, Rejected
+2457,0, Not Graduate, Yes,7900000,26300000,8,666,4600000,9200000,18400000,11800000, Approved
+2458,1, Graduate, Yes,2100000,4300000,20,896,100000,2300000,7500000,2300000, Approved
+2459,2, Graduate, No,2500000,7000000,20,547,800000,1200000,5200000,2300000, Rejected
+2460,2, Not Graduate, Yes,3700000,13900000,2,405,5900000,3200000,9100000,5500000, Approved
+2461,5, Graduate, No,1100000,4000000,16,498,400000,100000,2300000,700000, Rejected
+2462,5, Graduate, No,6500000,24800000,8,779,7000000,9600000,15700000,8800000, Approved
+2463,0, Not Graduate, Yes,8200000,31500000,8,403,11500000,8800000,19000000,6100000, Rejected
+2464,2, Not Graduate, No,5000000,12400000,8,709,11300000,6800000,13300000,4200000, Approved
+2465,1, Not Graduate, No,1500000,6000000,6,507,2600000,2700000,4800000,1900000, Rejected
+2466,5, Not Graduate, No,3700000,9100000,18,368,3400000,2400000,8400000,3300000, Rejected
+2467,3, Graduate, Yes,4100000,14600000,16,760,4700000,6600000,14900000,3000000, Approved
+2468,2, Not Graduate, No,7200000,16800000,6,796,6600000,6100000,14400000,9800000, Approved
+2469,1, Graduate, No,2000000,5000000,6,876,500000,2900000,5800000,1500000, Approved
+2470,3, Not Graduate, No,2000000,4700000,14,673,800000,3400000,5900000,1500000, Approved
+2471,1, Graduate, Yes,5100000,11500000,4,747,5000000,8900000,14100000,7000000, Approved
+2472,1, Not Graduate, No,6000000,13600000,12,589,9000000,300000,12600000,7100000, Approved
+2473,1, Graduate, No,4900000,18100000,8,382,13600000,400000,15500000,2400000, Rejected
+2474,3, Not Graduate, Yes,900000,2300000,12,900,1300000,0,3300000,1100000, Approved
+2475,1, Graduate, Yes,7500000,25000000,18,628,3500000,2200000,21700000,4700000, Approved
+2476,2, Graduate, No,6400000,25000000,12,667,13500000,5500000,25500000,5400000, Approved
+2477,2, Graduate, Yes,8700000,26400000,2,778,8500000,2400000,28800000,10300000, Approved
+2478,4, Graduate, Yes,7300000,17200000,18,831,18500000,4300000,23000000,5200000, Approved
+2479,5, Graduate, No,7400000,27100000,4,320,19800000,14600000,25200000,9400000, Approved
+2480,2, Graduate, No,2700000,9300000,16,656,7700000,2500000,6400000,3600000, Approved
+2481,3, Graduate, No,3400000,8900000,6,896,4200000,4800000,10200000,4200000, Approved
+2482,3, Not Graduate, Yes,2100000,7400000,4,320,3300000,2700000,6300000,2200000, Approved
+2483,2, Not Graduate, No,3100000,10500000,10,751,5500000,5900000,9000000,1600000, Approved
+2484,5, Not Graduate, No,4700000,17400000,2,523,10600000,7000000,10900000,5200000, Approved
+2485,5, Graduate, No,3100000,10500000,6,584,7700000,2100000,10900000,2900000, Approved
+2486,2, Not Graduate, No,5700000,20400000,2,630,3000000,3100000,22600000,2900000, Approved
+2487,3, Graduate, Yes,2300000,8000000,14,472,4400000,3300000,7700000,1800000, Rejected
+2488,0, Not Graduate, Yes,6600000,18500000,16,802,14600000,1100000,21800000,9700000, Approved
+2489,2, Graduate, Yes,2700000,6400000,18,547,5000000,1700000,9200000,1700000, Rejected
+2490,1, Not Graduate, Yes,800000,2800000,16,726,2000000,1300000,3100000,1200000, Approved
+2491,1, Graduate, No,6600000,18500000,8,712,2300000,3200000,24400000,7600000, Approved
+2492,3, Graduate, No,3900000,10700000,6,790,10600000,1900000,12500000,2700000, Approved
+2493,5, Not Graduate, No,200000,600000,16,396,0,0,500000,200000, Rejected
+2494,3, Graduate, No,2000000,4200000,6,831,1300000,1700000,6900000,1200000, Approved
+2495,2, Graduate, Yes,9100000,20900000,20,632,4200000,400000,30000000,13200000, Approved
+2496,3, Graduate, No,4700000,10800000,8,527,13300000,3100000,13600000,4800000, Rejected
+2497,3, Not Graduate, Yes,3200000,11100000,6,708,8900000,5700000,8100000,1500000, Approved
+2498,2, Not Graduate, No,1700000,4200000,14,829,200000,1600000,4600000,1600000, Approved
+2499,1, Not Graduate, No,2600000,8100000,12,854,4500000,5100000,6300000,2500000, Approved
+2500,3, Not Graduate, Yes,2700000,6700000,14,899,2400000,4200000,6000000,2000000, Approved
+2501,0, Not Graduate, Yes,3600000,13400000,6,589,3600000,0,11200000,4000000, Approved
+2502,4, Graduate, Yes,7200000,26000000,6,571,4700000,0,22600000,4200000, Approved
+2503,2, Not Graduate, Yes,2500000,6400000,6,708,6900000,200000,9900000,3500000, Approved
+2504,2, Not Graduate, No,5500000,19600000,16,328,2400000,4800000,10900000,3700000, Rejected
+2505,3, Graduate, Yes,9200000,33500000,8,564,20800000,15200000,29800000,11400000, Approved
+2506,3, Not Graduate, No,9000000,19000000,8,693,18300000,4500000,29600000,7200000, Approved
+2507,4, Not Graduate, Yes,5900000,15000000,14,626,16400000,4600000,17600000,8200000, Approved
+2508,4, Graduate, No,5600000,15600000,12,470,9900000,10700000,14600000,7000000, Rejected
+2509,2, Not Graduate, Yes,3200000,12500000,8,849,400000,5300000,10400000,4400000, Approved
+2510,5, Not Graduate, No,9100000,27800000,16,547,21900000,7000000,31900000,9400000, Rejected
+2511,0, Not Graduate, Yes,4600000,15100000,2,417,5600000,3900000,11800000,6600000, Approved
+2512,4, Graduate, No,7300000,14900000,2,358,13600000,12300000,20400000,7300000, Rejected
+2513,5, Not Graduate, Yes,1300000,3100000,16,826,200000,1700000,5100000,1400000, Approved
+2514,0, Not Graduate, No,1800000,4200000,6,836,1300000,1900000,6800000,2000000, Approved
+2515,3, Graduate, No,500000,1700000,10,509,400000,300000,1400000,300000, Rejected
+2516,2, Not Graduate, Yes,5700000,20500000,20,581,15200000,7800000,11400000,8500000, Approved
+2517,4, Graduate, No,300000,1100000,4,359,100000,0,1000000,200000, Approved
+2518,5, Graduate, Yes,2100000,7100000,10,517,1200000,2900000,5400000,1400000, Rejected
+2519,1, Not Graduate, Yes,5700000,20100000,14,442,11700000,7300000,17900000,6500000, Rejected
+2520,1, Not Graduate, Yes,1100000,2700000,16,346,1900000,300000,2200000,800000, Rejected
+2521,5, Graduate, No,9300000,34000000,6,742,4200000,600000,32800000,8200000, Approved
+2522,1, Graduate, Yes,3500000,8100000,10,626,7100000,5500000,7200000,2900000, Approved
+2523,0, Not Graduate, Yes,8200000,28800000,4,619,9000000,1100000,23000000,6300000, Approved
+2524,2, Not Graduate, Yes,7500000,17900000,20,734,9100000,5500000,23000000,4900000, Approved
+2525,1, Graduate, Yes,7000000,25600000,6,420,15100000,11500000,15300000,8700000, Rejected
+2526,5, Not Graduate, Yes,3900000,8300000,18,600,3900000,600000,10400000,5600000, Approved
+2527,3, Graduate, Yes,4700000,13200000,12,440,4000000,3300000,16600000,4300000, Rejected
+2528,5, Not Graduate, Yes,1700000,5200000,16,820,1700000,1200000,4000000,1000000, Approved
+2529,0, Graduate, No,2500000,7800000,8,437,5800000,0,5800000,3300000, Rejected
+2530,1, Not Graduate, Yes,400000,1400000,12,468,700000,0,1500000,400000, Rejected
+2531,0, Not Graduate, Yes,2400000,9100000,8,368,2200000,200000,5600000,3300000, Rejected
+2532,4, Graduate, No,5700000,21900000,2,871,3200000,1700000,14400000,6100000, Approved
+2533,1, Graduate, No,9800000,37900000,4,816,21800000,12200000,26100000,8500000, Approved
+2534,5, Graduate, No,9000000,32800000,4,773,10600000,4100000,18900000,11500000, Approved
+2535,3, Not Graduate, No,800000,3000000,14,576,1200000,1300000,2600000,400000, Approved
+2536,1, Graduate, No,1600000,4500000,14,673,1900000,2700000,3700000,1300000, Approved
+2537,0, Graduate, Yes,9800000,34100000,20,760,21500000,9400000,33400000,13600000, Approved
+2538,5, Not Graduate, Yes,2900000,7500000,12,678,3400000,3000000,10900000,3700000, Approved
+2539,4, Not Graduate, Yes,3900000,12000000,14,893,6000000,4700000,12900000,5200000, Approved
+2540,0, Graduate, Yes,3300000,9000000,18,754,6100000,3900000,6900000,4700000, Approved
+2541,3, Graduate, Yes,700000,2200000,8,617,1600000,400000,2400000,900000, Approved
+2542,3, Not Graduate, Yes,8400000,29500000,20,661,14600000,3400000,28900000,10900000, Approved
+2543,1, Graduate, Yes,4000000,12100000,12,356,10500000,2500000,15600000,5000000, Rejected
+2544,0, Not Graduate, Yes,1900000,6300000,16,811,1100000,100000,5100000,1900000, Approved
+2545,0, Not Graduate, No,3900000,14600000,2,730,9200000,4000000,14600000,5400000, Approved
+2546,5, Not Graduate, No,7400000,18000000,2,792,5300000,9400000,19900000,5300000, Approved
+2547,5, Not Graduate, Yes,5900000,16000000,6,798,15900000,5000000,12300000,3100000, Approved
+2548,2, Not Graduate, No,1400000,2900000,12,490,600000,1600000,5500000,1300000, Rejected
+2549,2, Graduate, Yes,1800000,5500000,6,448,2900000,300000,5600000,1300000, Rejected
+2550,0, Graduate, Yes,1000000,3100000,6,525,1900000,1700000,2800000,1400000, Rejected
+2551,1, Graduate, No,7400000,19200000,20,415,2200000,4800000,29200000,7000000, Rejected
+2552,5, Graduate, No,2700000,10600000,16,496,800000,2900000,9700000,2400000, Rejected
+2553,1, Not Graduate, Yes,3600000,13100000,8,543,2900000,100000,9900000,2700000, Rejected
+2554,5, Graduate, No,7000000,18400000,12,520,4700000,11900000,17000000,3800000, Rejected
+2555,4, Not Graduate, Yes,5000000,18000000,14,307,5300000,5600000,12800000,3300000, Rejected
+2556,2, Graduate, No,1800000,5700000,14,502,1400000,1100000,4400000,1300000, Rejected
+2557,2, Graduate, Yes,4700000,12000000,6,505,3400000,3800000,18000000,2300000, Rejected
+2558,2, Not Graduate, Yes,6700000,23100000,4,304,14400000,7100000,24300000,10000000, Approved
+2559,5, Not Graduate, No,5800000,17500000,10,719,5800000,1900000,12400000,3100000, Approved
+2560,0, Graduate, Yes,5900000,22700000,18,855,13400000,6300000,14500000,4000000, Approved
+2561,4, Not Graduate, No,6000000,15800000,18,593,6800000,4800000,13200000,6400000, Approved
+2562,1, Not Graduate, Yes,700000,1400000,10,523,700000,1100000,1600000,900000, Rejected
+2563,0, Not Graduate, Yes,3700000,13100000,14,385,10600000,6800000,9200000,4900000, Rejected
+2564,0, Graduate, Yes,7100000,19300000,6,783,3900000,4800000,21800000,5000000, Approved
+2565,5, Graduate, Yes,1100000,3900000,2,538,400000,1300000,4300000,1600000, Approved
+2566,3, Not Graduate, Yes,9500000,20100000,2,506,16800000,800000,32700000,11000000, Rejected
+2567,4, Not Graduate, Yes,2200000,8600000,2,461,1400000,3000000,4700000,2100000, Approved
+2568,4, Not Graduate, Yes,5500000,20000000,8,666,3800000,4700000,18000000,7900000, Approved
+2569,3, Not Graduate, Yes,4400000,16300000,20,561,5500000,8000000,12000000,4000000, Approved
+2570,5, Not Graduate, No,5000000,10800000,10,345,12300000,5000000,14100000,6300000, Rejected
+2571,4, Not Graduate, Yes,6100000,12500000,14,862,11300000,1500000,21900000,6800000, Approved
+2572,3, Not Graduate, No,8100000,22300000,10,686,20400000,8700000,19200000,6200000, Approved
+2573,4, Graduate, Yes,7000000,19600000,8,708,17600000,2600000,24300000,4500000, Approved
+2574,4, Not Graduate, No,5600000,14800000,20,656,9600000,9200000,11600000,6500000, Approved
+2575,4, Graduate, No,1800000,7000000,14,743,2600000,1000000,4500000,1500000, Approved
+2576,2, Graduate, No,3600000,12100000,14,408,10100000,4200000,13000000,5400000, Rejected
+2577,5, Graduate, No,600000,1300000,14,408,1000000,300000,1600000,900000, Rejected
+2578,1, Graduate, Yes,4900000,16500000,12,439,7500000,1400000,10300000,7200000, Rejected
+2579,3, Graduate, Yes,3000000,7100000,6,415,2000000,5700000,9500000,2500000, Rejected
+2580,0, Not Graduate, Yes,3800000,10600000,12,490,3300000,6500000,14400000,3100000, Rejected
+2581,1, Graduate, Yes,7600000,30000000,16,884,13300000,3600000,17200000,10800000, Approved
+2582,4, Graduate, No,7800000,25400000,18,425,3000000,14000000,30500000,7200000, Rejected
+2583,0, Graduate, No,6800000,21700000,20,730,17500000,1300000,18600000,3600000, Approved
+2584,4, Graduate, Yes,5900000,17300000,20,657,1500000,5600000,13000000,4100000, Approved
+2585,2, Not Graduate, No,4900000,16800000,10,480,2200000,8900000,12600000,2700000, Rejected
+2586,3, Not Graduate, Yes,1100000,3100000,16,356,1300000,100000,3000000,1600000, Rejected
+2587,1, Not Graduate, Yes,9800000,36000000,12,629,28000000,4100000,29800000,11200000, Approved
+2588,1, Graduate, Yes,1200000,4700000,2,667,1100000,300000,4200000,800000, Approved
+2589,0, Not Graduate, No,4700000,11500000,18,559,7500000,0,18700000,2600000, Approved
+2590,4, Graduate, No,6700000,16000000,4,791,0,13000000,20700000,5200000, Approved
+2591,0, Not Graduate, Yes,3700000,11300000,6,538,6200000,400000,10400000,5400000, Rejected
+2592,2, Graduate, No,7400000,16000000,20,358,16700000,5500000,26800000,4300000, Rejected
+2593,2, Not Graduate, No,3300000,11700000,14,439,4000000,6300000,8300000,1700000, Rejected
+2594,2, Graduate, Yes,4800000,15300000,12,503,3300000,4000000,12000000,4300000, Rejected
+2595,4, Graduate, Yes,4600000,11900000,6,810,11200000,8200000,17500000,5200000, Approved
+2596,1, Graduate, Yes,8000000,30600000,14,302,12700000,13100000,23900000,6800000, Rejected
+2597,0, Not Graduate, No,4100000,8800000,18,300,10900000,6400000,8600000,3500000, Rejected
+2598,4, Not Graduate, No,2600000,7200000,16,612,1300000,1000000,5800000,1400000, Approved
+2599,3, Not Graduate, No,1300000,5000000,6,686,2700000,2000000,4100000,900000, Approved
+2600,0, Graduate, Yes,2300000,4900000,12,409,3300000,2400000,4700000,3200000, Rejected
+2601,5, Graduate, No,300000,900000,6,492,800000,300000,700000,400000, Rejected
+2602,0, Graduate, Yes,7000000,21700000,20,498,6600000,5500000,14700000,3900000, Rejected
+2603,3, Not Graduate, Yes,4400000,10900000,18,611,8600000,6300000,8800000,3000000, Approved
+2604,5, Not Graduate, Yes,5100000,11800000,6,776,7600000,400000,10500000,4400000, Approved
+2605,1, Not Graduate, No,5900000,13000000,6,779,10800000,11600000,13100000,6600000, Approved
+2606,3, Graduate, Yes,7800000,27200000,16,560,3600000,8100000,21800000,8600000, Approved
+2607,4, Graduate, Yes,2200000,5100000,6,308,3200000,2600000,6600000,3100000, Rejected
+2608,4, Not Graduate, No,5400000,12600000,18,786,300000,2500000,21000000,6600000, Approved
+2609,1, Not Graduate, No,7400000,29100000,8,597,12100000,4800000,16300000,7000000, Approved
+2610,4, Graduate, No,5800000,12000000,12,811,9400000,8800000,14200000,3100000, Approved
+2611,1, Graduate, Yes,5800000,13000000,12,862,11300000,8400000,12000000,3900000, Approved
+2612,3, Not Graduate, Yes,4800000,14200000,12,369,3200000,200000,14000000,3000000, Rejected
+2613,1, Not Graduate, Yes,7400000,23900000,4,687,20800000,10900000,26100000,5600000, Approved
+2614,0, Not Graduate, Yes,9600000,19600000,12,500,21500000,700000,37600000,10900000, Rejected
+2615,2, Not Graduate, Yes,200000,500000,6,746,400000,0,500000,0, Approved
+2616,4, Not Graduate, No,700000,2100000,14,619,1900000,700000,2400000,1000000, Approved
+2617,2, Not Graduate, No,7600000,16700000,20,692,9900000,9600000,25100000,7400000, Approved
+2618,1, Not Graduate, Yes,1400000,3300000,18,321,900000,1500000,3000000,700000, Rejected
+2619,2, Not Graduate, Yes,3800000,15000000,14,730,10800000,2900000,10700000,3600000, Approved
+2620,3, Not Graduate, No,2700000,10800000,6,480,4400000,0,10300000,3500000, Rejected
+2621,2, Not Graduate, Yes,5000000,10700000,2,753,12600000,9000000,11500000,5700000, Approved
+2622,4, Graduate, Yes,9000000,28900000,6,637,11300000,1200000,33000000,4800000, Approved
+2623,3, Graduate, No,3700000,9000000,6,483,9300000,400000,9900000,3600000, Rejected
+2624,4, Not Graduate, Yes,300000,1100000,4,315,700000,100000,900000,100000, Approved
+2625,4, Graduate, No,1800000,4100000,8,777,2200000,2500000,3600000,1900000, Approved
+2626,2, Graduate, No,7900000,17700000,4,402,20900000,11800000,25600000,8400000, Rejected
+2627,4, Graduate, Yes,2100000,7700000,8,493,4300000,400000,4400000,1300000, Rejected
+2628,0, Graduate, Yes,900000,3100000,4,355,1700000,100000,3000000,500000, Approved
+2629,3, Graduate, No,9900000,23600000,18,557,18300000,8600000,23000000,9100000, Approved
+2630,0, Not Graduate, Yes,5600000,20000000,20,606,7100000,500000,20000000,7600000, Approved
+2631,1, Not Graduate, Yes,6000000,12200000,16,743,8800000,2600000,20600000,2900000, Approved
+2632,5, Not Graduate, No,5700000,18400000,4,579,12800000,4000000,17200000,4900000, Approved
+2633,0, Graduate, Yes,9000000,33100000,20,734,2800000,5900000,25300000,10300000, Approved
+2634,0, Graduate, No,7300000,16100000,2,490,7600000,1400000,21800000,10700000, Rejected
+2635,5, Graduate, No,5300000,20500000,16,802,11200000,7100000,21100000,4100000, Approved
+2636,1, Not Graduate, Yes,3500000,7400000,16,867,500000,6600000,9500000,2100000, Approved
+2637,0, Not Graduate, No,1000000,2200000,12,302,2200000,400000,3700000,1400000, Rejected
+2638,0, Not Graduate, No,5100000,19900000,12,867,1800000,7100000,18300000,5700000, Approved
+2639,0, Graduate, Yes,2900000,9900000,8,312,1800000,4500000,11200000,3700000, Rejected
+2640,3, Not Graduate, No,7600000,19100000,14,762,14800000,15000000,23500000,7300000, Approved
+2641,5, Not Graduate, Yes,6000000,14700000,18,462,15400000,9700000,13800000,3500000, Rejected
+2642,1, Graduate, No,6300000,18200000,18,849,4300000,5800000,15500000,5200000, Approved
+2643,3, Not Graduate, No,1900000,7400000,18,592,2300000,3000000,6000000,1800000, Approved
+2644,4, Graduate, No,600000,1400000,4,507,200000,300000,1700000,400000, Rejected
+2645,2, Not Graduate, Yes,4100000,11400000,14,505,8100000,7500000,10100000,5500000, Rejected
+2646,0, Not Graduate, Yes,800000,3200000,8,467,900000,400000,3100000,800000, Rejected
+2647,2, Not Graduate, No,6600000,22900000,16,543,2500000,11000000,26300000,8500000, Rejected
+2648,4, Graduate, Yes,300000,1100000,12,674,600000,0,800000,200000, Approved
+2649,3, Graduate, No,6100000,13500000,2,717,15700000,4200000,16100000,3400000, Approved
+2650,5, Not Graduate, Yes,4800000,17000000,10,666,6800000,5400000,12400000,2900000, Approved
+2651,4, Not Graduate, No,4500000,17300000,18,830,200000,4200000,12000000,2500000, Approved
+2652,2, Graduate, No,3800000,9400000,16,383,8300000,500000,9200000,2300000, Rejected
+2653,2, Graduate, Yes,7000000,18900000,8,584,13000000,13600000,20600000,5000000, Approved
+2654,2, Not Graduate, No,4400000,14200000,18,799,6300000,7800000,10800000,2400000, Approved
+2655,5, Graduate, No,5300000,19400000,6,510,14700000,7000000,13600000,3700000, Rejected
+2656,0, Not Graduate, Yes,2600000,5900000,6,572,5800000,3100000,7300000,3800000, Approved
+2657,3, Not Graduate, No,3300000,13100000,2,554,6000000,2500000,6700000,3800000, Approved
+2658,1, Not Graduate, Yes,1200000,4800000,6,344,2900000,1700000,3200000,1300000, Rejected
+2659,3, Graduate, No,4300000,8600000,8,881,9100000,5200000,15000000,5500000, Approved
+2660,0, Not Graduate, Yes,8400000,27200000,10,514,2500000,6400000,20100000,7200000, Rejected
+2661,0, Graduate, No,600000,1800000,18,796,1000000,700000,1200000,500000, Approved
+2662,2, Graduate, Yes,4700000,16200000,12,802,2300000,5400000,14800000,6700000, Approved
+2663,3, Graduate, No,4200000,12500000,20,375,1300000,5100000,10900000,2400000, Rejected
+2664,2, Graduate, No,4300000,14700000,2,871,4100000,7300000,13900000,4400000, Approved
+2665,0, Not Graduate, No,800000,2900000,2,439,100000,900000,2700000,1200000, Approved
+2666,0, Not Graduate, Yes,9300000,32000000,8,438,24800000,6400000,34900000,12400000, Rejected
+2667,5, Not Graduate, No,6200000,13700000,2,468,3300000,12300000,13900000,5500000, Rejected
+2668,3, Graduate, Yes,3500000,10200000,12,645,10400000,5700000,10000000,2400000, Approved
+2669,2, Graduate, Yes,3600000,9200000,18,700,4400000,1800000,10700000,3500000, Approved
+2670,5, Graduate, Yes,9500000,36700000,16,348,3500000,2200000,31600000,11400000, Rejected
+2671,5, Graduate, Yes,600000,1400000,10,877,1400000,400000,2000000,700000, Approved
+2672,0, Not Graduate, Yes,3800000,14900000,6,899,7800000,600000,12400000,2800000, Approved
+2673,3, Graduate, Yes,1400000,3500000,12,610,1200000,600000,3800000,1400000, Approved
+2674,1, Not Graduate, No,6300000,23900000,4,742,1500000,7100000,21800000,4300000, Approved
+2675,1, Not Graduate, Yes,2800000,6600000,18,801,4000000,4900000,7100000,3700000, Approved
+2676,4, Graduate, Yes,5400000,17100000,2,533,13800000,5100000,12200000,4700000, Approved
+2677,3, Not Graduate, Yes,6300000,23900000,16,656,12700000,9300000,15200000,5100000, Approved
+2678,3, Graduate, Yes,3900000,14300000,18,785,10900000,7600000,13900000,4900000, Approved
+2679,2, Graduate, Yes,4200000,15700000,2,332,7000000,700000,13300000,3000000, Approved
+2680,0, Graduate, No,3100000,8100000,18,768,400000,1600000,11600000,2400000, Approved
+2681,1, Graduate, No,3400000,8600000,6,640,7700000,1000000,7800000,4400000, Approved
+2682,4, Not Graduate, No,1500000,3100000,6,885,100000,2800000,3800000,1900000, Approved
+2683,3, Not Graduate, Yes,900000,2000000,18,772,2300000,700000,3500000,800000, Approved
+2684,4, Graduate, Yes,7800000,25600000,4,665,1000000,2300000,27300000,8200000, Approved
+2685,1, Not Graduate, Yes,3500000,10500000,20,454,8300000,4000000,7600000,2100000, Rejected
+2686,1, Not Graduate, No,8400000,32500000,14,698,20600000,5900000,17300000,12200000, Approved
+2687,4, Not Graduate, Yes,6400000,21300000,20,332,3600000,9100000,16200000,8000000, Rejected
+2688,1, Not Graduate, No,9600000,28300000,6,536,18700000,9300000,27300000,6000000, Rejected
+2689,5, Not Graduate, Yes,2100000,6500000,10,796,2400000,2800000,7300000,2700000, Approved
+2690,2, Not Graduate, Yes,6000000,19900000,8,486,12100000,8100000,20100000,6600000, Rejected
+2691,0, Not Graduate, Yes,8300000,16800000,18,422,8000000,10600000,23300000,11400000, Rejected
+2692,1, Not Graduate, Yes,5300000,18500000,6,501,6700000,8600000,16600000,4300000, Rejected
+2693,1, Not Graduate, Yes,9700000,23500000,4,666,15100000,9400000,23300000,8000000, Approved
+2694,3, Not Graduate, Yes,8200000,16500000,18,371,19000000,1200000,18500000,8200000, Rejected
+2695,5, Graduate, No,3400000,6900000,14,312,1800000,400000,10300000,3800000, Rejected
+2696,5, Graduate, No,2800000,11000000,12,753,3900000,4600000,10700000,2400000, Approved
+2697,0, Not Graduate, Yes,2400000,5200000,16,740,6300000,1000000,7500000,2900000, Approved
+2698,1, Graduate, No,8200000,24000000,4,366,10900000,15200000,25200000,10400000, Rejected
+2699,4, Not Graduate, No,4200000,11100000,8,526,11600000,200000,16800000,4900000, Rejected
+2700,4, Graduate, Yes,5500000,14800000,10,354,16000000,3400000,21200000,7700000, Rejected
+2701,5, Not Graduate, Yes,2900000,6300000,6,719,7900000,1600000,8000000,1600000, Approved
+2702,5, Not Graduate, No,6300000,20100000,12,774,15600000,11800000,16200000,5800000, Approved
+2703,5, Not Graduate, Yes,9700000,29100000,18,732,4700000,7400000,35600000,12400000, Approved
+2704,1, Not Graduate, No,6500000,16000000,6,862,2000000,0,24000000,9700000, Approved
+2705,5, Not Graduate, No,4900000,10800000,18,613,6800000,800000,14500000,5300000, Approved
+2706,5, Graduate, Yes,6900000,16500000,6,447,4100000,400000,14100000,6600000, Rejected
+2707,4, Not Graduate, Yes,1100000,3000000,4,730,300000,600000,3600000,1100000, Approved
+2708,2, Not Graduate, Yes,7800000,29600000,14,568,-100000,8600000,27000000,7200000, Approved
+2709,2, Graduate, Yes,8200000,23600000,6,495,23000000,10600000,27200000,6100000, Rejected
+2710,5, Not Graduate, Yes,6700000,23600000,14,854,3000000,3300000,19400000,7500000, Approved
+2711,3, Graduate, Yes,7400000,15200000,10,548,16700000,12800000,19300000,4800000, Rejected
+2712,1, Not Graduate, No,1200000,2700000,14,779,600000,2200000,2400000,600000, Approved
+2713,0, Not Graduate, No,9500000,24800000,2,564,17400000,16000000,19600000,12000000, Approved
+2714,5, Not Graduate, Yes,4000000,8200000,2,571,3500000,7700000,9500000,4400000, Approved
+2715,0, Not Graduate, Yes,8600000,32600000,8,778,21500000,14100000,33600000,11000000, Approved
+2716,4, Graduate, Yes,9100000,28400000,12,808,25800000,11800000,19300000,9700000, Approved
+2717,0, Not Graduate, Yes,7100000,18600000,20,770,19200000,13100000,23100000,5100000, Approved
+2718,0, Not Graduate, No,9000000,28400000,4,612,0,7200000,26900000,13200000, Approved
+2719,3, Graduate, Yes,1400000,2700000,14,819,1200000,1500000,4000000,1300000, Approved
+2720,1, Graduate, No,8800000,20200000,6,627,24200000,16100000,17600000,11900000, Approved
+2721,3, Not Graduate, Yes,5400000,14700000,4,359,12300000,9900000,15100000,6100000, Rejected
+2722,1, Graduate, No,6100000,19100000,6,341,5700000,5900000,12400000,6300000, Rejected
+2723,1, Graduate, No,1000000,3600000,4,570,1000000,1300000,3700000,1000000, Approved
+2724,3, Graduate, Yes,7700000,18100000,20,736,7800000,14500000,29100000,10000000, Approved
+2725,1, Graduate, Yes,6100000,12900000,2,302,8900000,7500000,15600000,7200000, Rejected
+2726,2, Not Graduate, Yes,7700000,21000000,12,420,16100000,4300000,27400000,10500000, Rejected
+2727,4, Graduate, Yes,4700000,12000000,2,416,5800000,8200000,13000000,6800000, Rejected
+2728,2, Graduate, Yes,9100000,34800000,20,836,21300000,10900000,30600000,9900000, Approved
+2729,0, Graduate, Yes,5800000,12700000,12,528,8400000,7300000,19600000,7600000, Rejected
+2730,4, Not Graduate, No,8500000,24900000,2,405,1900000,400000,21700000,11400000, Rejected
+2731,2, Graduate, Yes,9900000,33400000,14,783,16600000,16100000,21000000,9500000, Approved
+2732,4, Not Graduate, Yes,2000000,4000000,10,636,2100000,0,4000000,1700000, Approved
+2733,1, Not Graduate, Yes,5000000,16800000,6,711,6300000,7600000,16000000,3200000, Approved
+2734,1, Graduate, Yes,3200000,11800000,16,848,5500000,3200000,7500000,2300000, Approved
+2735,1, Not Graduate, Yes,8000000,27800000,8,804,7900000,1600000,27100000,11800000, Approved
+2736,0, Not Graduate, Yes,1200000,2800000,14,892,3200000,100000,3300000,1700000, Approved
+2737,2, Not Graduate, Yes,5800000,22800000,14,696,12100000,200000,20800000,4800000, Approved
+2738,1, Graduate, No,2500000,7600000,20,888,7400000,4200000,6400000,1900000, Approved
+2739,1, Not Graduate, Yes,600000,1400000,10,699,400000,500000,1300000,800000, Approved
+2740,5, Graduate, No,4900000,13000000,10,865,13300000,3700000,14700000,6500000, Approved
+2741,2, Graduate, Yes,9400000,37300000,14,383,7800000,15900000,27100000,7700000, Rejected
+2742,2, Graduate, No,5300000,19300000,16,368,14700000,400000,11600000,3700000, Rejected
+2743,5, Not Graduate, No,5100000,15800000,4,607,6000000,7700000,12600000,7000000, Approved
+2744,4, Not Graduate, Yes,2900000,8900000,18,827,400000,3400000,11200000,1600000, Approved
+2745,1, Graduate, No,9100000,34000000,12,672,8600000,1600000,32700000,8800000, Approved
+2746,3, Not Graduate, Yes,8800000,26700000,12,708,16000000,15300000,26900000,9600000, Approved
+2747,4, Not Graduate, No,2600000,8800000,10,682,4500000,4700000,10300000,1600000, Approved
+2748,1, Graduate, Yes,9700000,25500000,18,741,21900000,6200000,34800000,4900000, Approved
+2749,5, Not Graduate, Yes,600000,1200000,8,343,100000,700000,1600000,600000, Rejected
+2750,0, Graduate, Yes,4100000,11100000,16,785,6800000,5300000,8500000,4800000, Approved
+2751,1, Not Graduate, Yes,8000000,28000000,20,830,22400000,12600000,25600000,10600000, Approved
+2752,2, Graduate, No,8800000,26700000,16,696,12900000,15300000,20300000,10900000, Approved
+2753,1, Graduate, No,200000,300000,12,697,600000,300000,700000,100000, Approved
+2754,0, Graduate, Yes,3800000,11700000,2,351,100000,6700000,12500000,3100000, Approved
+2755,3, Graduate, No,6800000,21800000,10,556,16400000,9300000,19100000,5400000, Approved
+2756,0, Graduate, No,8600000,31800000,2,895,22600000,15900000,19600000,5100000, Approved
+2757,2, Graduate, Yes,2800000,8400000,10,534,8300000,4800000,10600000,1500000, Rejected
+2758,0, Graduate, No,8000000,29800000,12,736,600000,15700000,30800000,8400000, Approved
+2759,2, Graduate, Yes,2300000,5500000,16,629,4600000,2900000,7000000,1900000, Approved
+2760,4, Graduate, Yes,7600000,16200000,20,657,1900000,9300000,28500000,5500000, Approved
+2761,2, Graduate, No,2900000,11300000,12,839,700000,5100000,8100000,2600000, Approved
+2762,4, Not Graduate, No,7900000,25700000,18,589,4300000,300000,25300000,9800000, Approved
+2763,2, Not Graduate, No,1900000,4500000,6,805,2200000,3100000,4800000,2300000, Approved
+2764,3, Not Graduate, Yes,4600000,13600000,20,729,1300000,8900000,17200000,5900000, Approved
+2765,1, Not Graduate, No,2600000,7700000,6,399,3700000,4300000,8900000,3500000, Rejected
+2766,2, Not Graduate, No,2700000,6700000,8,413,7600000,800000,9200000,2300000, Rejected
+2767,5, Graduate, Yes,6300000,13200000,16,321,6700000,4000000,15200000,7100000, Rejected
+2768,0, Graduate, Yes,2600000,7500000,2,853,4200000,3900000,9600000,1400000, Approved
+2769,4, Not Graduate, Yes,7700000,23400000,6,400,3900000,3400000,20800000,10700000, Rejected
+2770,0, Graduate, Yes,7400000,16300000,16,630,11200000,13200000,28400000,5300000, Approved
+2771,3, Graduate, Yes,7300000,21600000,20,557,1900000,3800000,26400000,9300000, Approved
+2772,1, Graduate, No,2900000,7600000,2,358,800000,700000,10100000,2100000, Rejected
+2773,3, Graduate, Yes,6600000,16000000,10,510,1200000,4800000,13300000,6300000, Rejected
+2774,2, Graduate, Yes,2700000,9600000,14,554,5800000,200000,10200000,1900000, Approved
+2775,3, Graduate, Yes,8300000,27700000,4,596,20500000,15400000,21400000,7400000, Approved
+2776,0, Graduate, No,4900000,18500000,8,659,8800000,1700000,14700000,4900000, Approved
+2777,4, Graduate, Yes,7900000,30700000,10,322,10600000,13200000,30300000,6300000, Rejected
+2778,5, Graduate, Yes,8800000,21300000,14,852,8000000,6400000,28500000,9900000, Approved
+2779,5, Not Graduate, No,4000000,14100000,18,653,5800000,4100000,9400000,5400000, Approved
+2780,4, Graduate, Yes,3900000,9200000,12,737,2800000,2300000,12300000,5200000, Approved
+2781,3, Graduate, Yes,7700000,18900000,2,583,9300000,3000000,16700000,9300000, Approved
+2782,1, Graduate, Yes,3800000,10000000,16,873,5100000,2800000,10300000,4000000, Approved
+2783,5, Graduate, No,8000000,27000000,20,595,4500000,5200000,24800000,10400000, Approved
+2784,5, Graduate, Yes,3400000,11300000,20,871,6500000,3900000,9700000,2400000, Approved
+2785,5, Graduate, Yes,5500000,18800000,12,603,3300000,700000,21000000,5000000, Approved
+2786,0, Not Graduate, No,7700000,29300000,14,801,6200000,11800000,23400000,4700000, Approved
+2787,5, Graduate, No,4000000,9400000,4,723,200000,0,12100000,2000000, Approved
+2788,5, Not Graduate, Yes,5900000,22600000,18,630,2300000,4200000,16500000,6800000, Approved
+2789,0, Not Graduate, Yes,2600000,9900000,20,368,3600000,1500000,5200000,2000000, Rejected
+2790,3, Graduate, No,6600000,22200000,12,759,8900000,2200000,18700000,8500000, Approved
+2791,0, Not Graduate, Yes,1000000,3000000,18,382,2200000,700000,3500000,900000, Rejected
+2792,4, Not Graduate, Yes,800000,2800000,16,645,900000,1400000,2300000,600000, Approved
+2793,0, Graduate, No,3200000,6300000,6,878,6700000,5200000,8100000,3600000, Approved
+2794,4, Graduate, No,8400000,23400000,12,350,18700000,9100000,27500000,6700000, Rejected
+2795,3, Graduate, Yes,5800000,17600000,6,720,4900000,4200000,18800000,6600000, Approved
+2796,0, Not Graduate, Yes,7300000,28100000,10,673,13700000,1200000,16300000,8900000, Approved
+2797,1, Graduate, No,3900000,8000000,6,448,100000,1900000,9800000,4000000, Rejected
+2798,2, Not Graduate, Yes,4600000,16000000,4,720,0,4000000,12300000,4200000, Approved
+2799,0, Graduate, No,3600000,12300000,2,300,5200000,3000000,14300000,5400000, Approved
+2800,4, Graduate, No,7500000,28700000,20,520,4600000,3500000,15200000,5700000, Rejected
+2801,1, Graduate, No,5200000,15000000,12,794,3200000,7200000,16500000,5100000, Approved
+2802,3, Graduate, Yes,4400000,10000000,8,875,5900000,5200000,11700000,4100000, Approved
+2803,1, Not Graduate, Yes,5100000,12900000,14,533,6700000,6700000,14400000,3900000, Rejected
+2804,0, Graduate, No,6000000,23600000,6,776,13800000,2700000,23400000,8800000, Approved
+2805,2, Graduate, No,3800000,11400000,6,706,1000000,4000000,12100000,2800000, Approved
+2806,3, Graduate, No,2800000,10900000,2,710,600000,2400000,5600000,3600000, Approved
+2807,5, Graduate, Yes,6500000,18300000,4,333,8100000,400000,21700000,7000000, Rejected
+2808,2, Not Graduate, Yes,1600000,6400000,4,787,1000000,300000,5500000,1100000, Approved
+2809,4, Graduate, No,5500000,18600000,12,569,13500000,6200000,19700000,7300000, Approved
+2810,0, Graduate, Yes,9600000,20100000,16,427,7200000,2300000,34500000,7400000, Rejected
+2811,0, Graduate, No,7000000,27800000,16,640,11500000,3700000,16000000,8200000, Approved
+2812,2, Not Graduate, No,4000000,8100000,16,312,3500000,2100000,15100000,3100000, Rejected
+2813,1, Not Graduate, Yes,8100000,30900000,12,464,13600000,9800000,17900000,7500000, Rejected
+2814,2, Not Graduate, Yes,6600000,22800000,8,490,6100000,10000000,18000000,6400000, Rejected
+2815,5, Graduate, No,4100000,10200000,12,431,6200000,2200000,13700000,4300000, Rejected
+2816,1, Graduate, No,6600000,24800000,4,500,8600000,4100000,16700000,6100000, Approved
+2817,4, Graduate, No,5100000,12200000,14,511,2700000,6000000,18300000,3400000, Rejected
+2818,4, Graduate, No,8200000,25200000,18,691,5800000,8900000,28500000,10500000, Approved
+2819,1, Not Graduate, Yes,9500000,24400000,14,696,25500000,6700000,29500000,6300000, Approved
+2820,0, Not Graduate, Yes,7600000,27600000,2,437,10000000,11200000,27600000,6800000, Approved
+2821,2, Not Graduate, Yes,8400000,20800000,12,335,6700000,12300000,18500000,10100000, Rejected
+2822,4, Graduate, No,7600000,25100000,4,671,4600000,13200000,27400000,4300000, Approved
+2823,4, Not Graduate, Yes,1400000,3700000,12,621,3100000,900000,5100000,1800000, Approved
+2824,4, Not Graduate, Yes,2700000,6800000,10,455,4700000,2600000,7400000,2700000, Rejected
+2825,1, Graduate, Yes,200000,500000,10,856,500000,200000,500000,200000, Approved
+2826,3, Graduate, No,600000,2100000,16,892,700000,400000,2400000,500000, Approved
+2827,4, Graduate, No,5200000,12900000,16,819,3400000,4100000,16800000,7500000, Approved
+2828,0, Not Graduate, Yes,5100000,11600000,10,308,8700000,1300000,10700000,7000000, Rejected
+2829,4, Graduate, Yes,9200000,18600000,2,889,26900000,4200000,33300000,9700000, Approved
+2830,5, Not Graduate, No,6500000,23200000,18,713,6700000,1400000,13400000,7200000, Approved
+2831,0, Graduate, No,8500000,21000000,6,665,3600000,9600000,27500000,11300000, Approved
+2832,4, Not Graduate, No,2000000,6000000,12,837,1300000,1900000,6300000,2300000, Approved
+2833,4, Not Graduate, Yes,7500000,18000000,20,395,200000,12800000,23500000,9700000, Rejected
+2834,0, Graduate, Yes,7500000,28900000,10,632,21700000,10700000,24700000,9900000, Approved
+2835,2, Not Graduate, No,2000000,4300000,16,497,5100000,200000,5700000,2800000, Rejected
+2836,3, Graduate, Yes,1400000,2700000,14,694,3800000,200000,3600000,1700000, Approved
+2837,1, Not Graduate, Yes,1700000,5600000,2,882,3100000,2600000,6700000,1600000, Approved
+2838,2, Graduate, Yes,5300000,14900000,6,504,10600000,2100000,17000000,3200000, Rejected
+2839,4, Not Graduate, No,8900000,30100000,2,747,20600000,12900000,20700000,10300000, Approved
+2840,3, Graduate, No,9700000,35300000,4,462,11500000,9500000,33700000,7200000, Approved
+2841,5, Graduate, No,9000000,25900000,4,538,11100000,11100000,31300000,8100000, Rejected
+2842,2, Not Graduate, Yes,8500000,30900000,6,664,5700000,9900000,19800000,7400000, Approved
+2843,1, Not Graduate, No,3500000,10900000,4,524,8800000,6200000,13600000,2800000, Approved
+2844,1, Not Graduate, No,500000,1400000,6,464,1100000,0,1900000,500000, Rejected
+2845,3, Graduate, No,8900000,19100000,6,807,2300000,16500000,29900000,10400000, Approved
+2846,2, Not Graduate, Yes,7800000,27200000,18,622,6000000,6000000,26400000,4300000, Approved
+2847,5, Not Graduate, Yes,9800000,27800000,6,827,2400000,14900000,32800000,9500000, Approved
+2848,0, Graduate, No,5200000,19000000,14,687,11900000,500000,19400000,4400000, Approved
+2849,4, Graduate, No,7400000,19400000,16,835,16400000,14200000,23500000,6500000, Approved
+2850,3, Graduate, Yes,1200000,3300000,6,772,700000,900000,2900000,1400000, Approved
+2851,1, Not Graduate, Yes,1000000,3200000,2,710,100000,200000,3300000,900000, Approved
+2852,3, Graduate, Yes,9500000,32500000,14,581,2800000,14300000,36000000,4700000, Approved
+2853,3, Not Graduate, No,4500000,11700000,18,775,8700000,2800000,12700000,4500000, Approved
+2854,2, Graduate, No,4900000,16000000,12,710,8700000,7100000,10000000,5700000, Approved
+2855,3, Not Graduate, Yes,700000,2500000,8,321,1900000,1200000,1700000,400000, Rejected
+2856,0, Graduate, No,9400000,28300000,20,761,22500000,14800000,30800000,10100000, Approved
+2857,3, Not Graduate, Yes,8300000,31400000,6,674,1000000,1600000,17200000,6100000, Rejected
+2858,4, Graduate, Yes,5600000,13000000,4,899,10500000,9100000,11400000,6400000, Approved
+2859,5, Not Graduate, Yes,4400000,12300000,8,567,2400000,500000,12900000,6300000, Approved
+2860,3, Graduate, No,2100000,5400000,8,771,5200000,3700000,6200000,1000000, Approved
+2861,1, Not Graduate, Yes,4400000,10600000,4,360,6600000,7700000,15100000,5000000, Rejected
+2862,0, Not Graduate, No,6300000,19600000,6,425,15900000,10400000,13300000,5900000, Rejected
+2863,4, Graduate, No,9900000,30000000,18,496,10400000,8000000,29300000,13800000, Rejected
+2864,3, Not Graduate, No,700000,1600000,20,705,600000,900000,2300000,700000, Approved
+2865,4, Not Graduate, No,3600000,12400000,14,427,10400000,2400000,9100000,2600000, Rejected
+2866,1, Not Graduate, Yes,5600000,21000000,2,552,3200000,6300000,22100000,6100000, Approved
+2867,3, Not Graduate, Yes,1000000,3700000,8,725,3000000,1300000,4000000,1300000, Approved
+2868,5, Graduate, Yes,6400000,15600000,8,553,14200000,2900000,20400000,8000000, Approved
+2869,0, Not Graduate, No,8900000,19100000,2,725,8300000,15000000,19000000,8800000, Approved
+2870,4, Graduate, No,9900000,26100000,2,481,14500000,5000000,23600000,9300000, Rejected
+2871,2, Graduate, Yes,4000000,8600000,4,847,10200000,2700000,14300000,2400000, Approved
+2872,0, Not Graduate, Yes,7300000,25700000,10,666,14000000,3100000,29000000,6000000, Approved
+2873,1, Not Graduate, No,8100000,25400000,6,477,4500000,13200000,23200000,4400000, Rejected
+2874,4, Graduate, Yes,6800000,22100000,4,446,3700000,4600000,18900000,9200000, Approved
+2875,0, Not Graduate, Yes,2600000,8200000,8,630,6000000,4900000,7500000,2000000, Approved
+2876,5, Not Graduate, Yes,300000,1100000,20,613,600000,400000,700000,200000, Approved
+2877,2, Graduate, Yes,2400000,7500000,4,851,3100000,700000,5600000,2400000, Approved
+2878,0, Not Graduate, No,6000000,20600000,12,339,3400000,10700000,17200000,8200000, Rejected
+2879,4, Graduate, Yes,3800000,11100000,16,857,11300000,7400000,11700000,4700000, Approved
+2880,0, Graduate, Yes,7000000,22100000,14,467,10000000,6400000,26100000,5800000, Rejected
+2881,0, Graduate, Yes,5400000,12900000,16,355,11200000,3100000,18200000,7400000, Rejected
+2882,1, Not Graduate, No,6400000,16400000,6,428,12400000,10900000,23900000,8900000, Rejected
+2883,5, Not Graduate, Yes,7000000,24000000,14,450,10300000,5700000,21100000,4700000, Rejected
+2884,2, Not Graduate, Yes,2100000,4600000,4,348,5400000,0,7400000,1400000, Rejected
+2885,4, Not Graduate, Yes,4400000,15000000,12,459,5700000,800000,11400000,2400000, Rejected
+2886,0, Not Graduate, No,8000000,31000000,8,847,4900000,9500000,29600000,5700000, Approved
+2887,2, Not Graduate, Yes,3900000,8300000,18,523,800000,300000,9900000,2300000, Rejected
+2888,0, Graduate, No,4700000,15200000,10,786,11100000,8000000,9600000,3200000, Approved
+2889,0, Graduate, No,6800000,21200000,14,300,0,8700000,16500000,10000000, Rejected
+2890,0, Not Graduate, Yes,1800000,6500000,12,728,3500000,0,6100000,1900000, Approved
+2891,3, Not Graduate, Yes,8600000,32000000,4,497,11400000,3300000,18600000,4900000, Approved
+2892,1, Not Graduate, Yes,3600000,13700000,10,548,9900000,2400000,8900000,4100000, Rejected
+2893,1, Graduate, Yes,6800000,22900000,6,576,500000,11100000,13800000,5600000, Approved
+2894,3, Graduate, Yes,1100000,4100000,20,863,800000,1100000,3700000,600000, Approved
+2895,4, Graduate, Yes,4000000,8400000,8,717,7400000,4900000,11900000,4000000, Approved
+2896,1, Graduate, No,2500000,5900000,12,668,7400000,600000,6300000,3700000, Approved
+2897,2, Graduate, No,5400000,17400000,10,335,5900000,1400000,18100000,4300000, Rejected
+2898,5, Not Graduate, No,6600000,13600000,4,861,11700000,8400000,14600000,5400000, Approved
+2899,4, Not Graduate, No,6000000,14900000,2,321,6900000,7700000,18000000,6500000, Rejected
+2900,0, Graduate, Yes,2200000,8300000,10,585,3600000,1700000,4300000,1900000, Approved
+2901,1, Graduate, No,8800000,18500000,10,704,14400000,3200000,26600000,11300000, Approved
+2902,0, Not Graduate, Yes,4000000,10300000,4,819,11100000,1200000,15200000,2600000, Approved
+2903,4, Not Graduate, Yes,3600000,12400000,18,494,5300000,100000,10200000,1900000, Rejected
+2904,5, Graduate, Yes,8100000,22500000,2,808,4800000,6100000,16900000,6000000, Approved
+2905,3, Not Graduate, Yes,5200000,11000000,12,830,8900000,5100000,16000000,7600000, Approved
+2906,5, Graduate, No,1100000,2800000,14,473,100000,500000,4200000,700000, Rejected
+2907,2, Graduate, No,7500000,29800000,4,392,5500000,2200000,20800000,4000000, Approved
+2908,5, Not Graduate, No,7700000,20300000,12,806,21300000,13300000,18900000,9600000, Approved
+2909,0, Not Graduate, No,5700000,21400000,8,340,3200000,1900000,17200000,3800000, Rejected
+2910,3, Graduate, Yes,5000000,13900000,8,555,12300000,6700000,18100000,4800000, Approved
+2911,5, Not Graduate, No,500000,1200000,16,499,600000,600000,1500000,200000, Rejected
+2912,3, Graduate, No,8900000,21300000,10,467,18700000,2600000,31800000,8800000, Rejected
+2913,1, Not Graduate, No,1700000,6600000,4,797,2800000,1900000,6100000,1300000, Approved
+2914,4, Not Graduate, Yes,500000,1300000,18,762,1400000,0,1600000,300000, Approved
+2915,3, Not Graduate, Yes,9900000,36500000,16,562,17300000,18500000,22300000,9800000, Approved
+2916,1, Graduate, No,8400000,21800000,2,492,4000000,11000000,18200000,6600000, Rejected
+2917,3, Not Graduate, Yes,500000,1700000,4,824,500000,600000,1400000,400000, Approved
+2918,2, Graduate, No,1700000,5700000,10,602,4900000,2700000,4500000,1800000, Approved
+2919,1, Not Graduate, Yes,6500000,18300000,10,722,11900000,8600000,19200000,4500000, Approved
+2920,1, Not Graduate, No,8900000,28400000,6,709,21600000,5500000,26200000,7900000, Approved
+2921,1, Not Graduate, No,400000,1400000,4,302,200000,100000,1500000,500000, Approved
+2922,3, Not Graduate, No,5700000,12300000,6,364,7900000,11000000,20000000,5500000, Rejected
+2923,0, Not Graduate, Yes,9600000,23800000,12,389,25200000,15800000,27000000,8300000, Rejected
+2924,0, Graduate, Yes,8500000,20000000,16,786,13300000,7400000,17700000,8900000, Approved
+2925,0, Graduate, No,4000000,11500000,8,434,4500000,2800000,8400000,5900000, Rejected
+2926,2, Not Graduate, Yes,6300000,18100000,6,671,7900000,8200000,13200000,5400000, Approved
+2927,3, Graduate, Yes,4000000,14700000,8,376,3000000,6200000,8900000,4200000, Rejected
+2928,4, Graduate, No,9400000,32200000,6,898,27600000,11800000,19500000,8600000, Approved
+2929,5, Graduate, Yes,4100000,15500000,10,836,10500000,1100000,15200000,3600000, Approved
+2930,4, Graduate, Yes,1100000,4400000,6,515,1000000,700000,4300000,1500000, Rejected
+2931,3, Not Graduate, No,8700000,24800000,20,360,25300000,8700000,31100000,4300000, Rejected
+2932,4, Graduate, Yes,4900000,12800000,2,691,200000,4900000,14700000,7000000, Approved
+2933,1, Not Graduate, Yes,2800000,9100000,14,510,2400000,4200000,10400000,3000000, Rejected
+2934,0, Graduate, No,9600000,23200000,18,389,1000000,17600000,22200000,8800000, Rejected
+2935,3, Graduate, Yes,6900000,19000000,14,348,4200000,3700000,19400000,4900000, Rejected
+2936,2, Not Graduate, Yes,2300000,8100000,2,504,1800000,3100000,4600000,3100000, Approved
+2937,2, Not Graduate, No,6800000,21300000,20,658,7800000,7000000,25900000,9600000, Approved
+2938,1, Not Graduate, Yes,2200000,5400000,16,641,5900000,0,4800000,1200000, Approved
+2939,2, Not Graduate, No,5900000,19800000,20,327,7800000,1500000,19700000,8500000, Rejected
+2940,1, Graduate, Yes,7000000,20300000,18,726,11600000,13100000,17100000,9000000, Approved
+2941,1, Graduate, Yes,9600000,34100000,20,828,26100000,19000000,20800000,12400000, Approved
+2942,0, Graduate, No,6500000,14500000,12,755,9000000,11900000,20800000,3400000, Approved
+2943,2, Not Graduate, Yes,3800000,7600000,20,788,1700000,5200000,9200000,5600000, Approved
+2944,2, Graduate, No,9400000,25100000,20,832,19400000,2100000,22300000,5900000, Approved
+2945,0, Not Graduate, No,2100000,8200000,4,554,3900000,3800000,5900000,1700000, Approved
+2946,1, Not Graduate, Yes,8500000,26200000,8,811,22800000,6400000,32500000,12700000, Approved
+2947,5, Graduate, Yes,3800000,12000000,2,649,6200000,5300000,10300000,4200000, Approved
+2948,1, Not Graduate, Yes,3400000,9700000,20,830,3500000,6400000,10300000,4800000, Approved
+2949,1, Graduate, Yes,5600000,11700000,6,707,4500000,800000,19000000,3900000, Approved
+2950,0, Graduate, Yes,8500000,33700000,10,483,18800000,8900000,29000000,12200000, Rejected
+2951,4, Not Graduate, Yes,2100000,5500000,18,349,100000,0,6600000,2000000, Rejected
+2952,4, Graduate, No,400000,1500000,4,846,300000,0,1600000,600000, Approved
+2953,4, Not Graduate, No,7900000,31500000,20,386,14300000,3800000,23800000,7500000, Rejected
+2954,5, Not Graduate, No,6900000,19200000,12,408,10000000,5000000,24900000,9000000, Rejected
+2955,0, Not Graduate, Yes,1800000,3900000,2,764,2200000,700000,3500000,1200000, Approved
+2956,0, Graduate, Yes,1200000,3200000,18,473,2100000,600000,2400000,1200000, Rejected
+2957,3, Not Graduate, No,3600000,9800000,12,654,600000,1300000,7500000,2200000, Approved
+2958,1, Graduate, No,7200000,22800000,2,551,15000000,8700000,21300000,9500000, Approved
+2959,5, Graduate, No,9400000,21800000,6,850,13300000,11700000,24800000,6800000, Approved
+2960,5, Graduate, No,9000000,24200000,4,646,12400000,5500000,18100000,11900000, Approved
+2961,1, Not Graduate, Yes,1000000,2100000,8,793,2900000,1300000,2200000,1400000, Approved
+2962,3, Not Graduate, No,5600000,19900000,16,551,14000000,4200000,16100000,4500000, Approved
+2963,1, Graduate, No,900000,2600000,4,346,400000,700000,2900000,900000, Rejected
+2964,5, Not Graduate, Yes,9000000,19100000,14,540,11300000,800000,18300000,4900000, Rejected
+2965,2, Not Graduate, No,3100000,9000000,20,892,5000000,5600000,7100000,4000000, Approved
+2966,1, Not Graduate, Yes,8000000,20700000,6,570,1000000,11700000,23200000,11300000, Approved
+2967,4, Not Graduate, Yes,3500000,11300000,16,874,1400000,3800000,10100000,3700000, Approved
+2968,4, Graduate, No,3900000,12600000,8,553,8200000,2500000,12300000,4500000, Approved
+2969,2, Graduate, No,9700000,34500000,10,649,10600000,7600000,24800000,5900000, Approved
+2970,4, Graduate, No,4500000,15800000,14,439,8900000,6900000,15200000,4400000, Rejected
+2971,5, Not Graduate, No,6800000,24800000,8,621,13000000,13500000,23300000,4800000, Approved
+2972,2, Not Graduate, No,6300000,18600000,14,872,9900000,11900000,16100000,7500000, Approved
+2973,2, Graduate, No,4900000,18500000,8,492,12900000,5000000,10200000,5800000, Rejected
+2974,0, Graduate, No,4800000,18600000,6,618,12300000,5900000,16800000,4000000, Approved
+2975,5, Graduate, No,7500000,15800000,18,458,7800000,6500000,22400000,8400000, Rejected
+2976,5, Not Graduate, No,5200000,13900000,4,422,7800000,4500000,12000000,7000000, Rejected
+2977,3, Not Graduate, Yes,9400000,30900000,20,873,22800000,17700000,19300000,9000000, Approved
+2978,5, Not Graduate, No,3200000,10000000,14,610,2900000,3800000,8600000,3500000, Approved
+2979,1, Not Graduate, Yes,3600000,13200000,20,546,8900000,3600000,13900000,2900000, Rejected
+2980,1, Not Graduate, Yes,3400000,7200000,8,741,4300000,6600000,11500000,3900000, Approved
+2981,3, Graduate, No,2100000,8200000,6,754,900000,2900000,4900000,1000000, Approved
+2982,1, Graduate, No,7200000,15100000,8,379,2600000,8300000,21700000,8200000, Rejected
+2983,5, Graduate, No,4500000,16900000,18,455,2700000,2500000,10700000,5600000, Rejected
+2984,0, Graduate, Yes,2600000,9000000,20,615,6800000,0,8400000,3400000, Approved
+2985,4, Graduate, Yes,6400000,21700000,10,384,16500000,8200000,15100000,5700000, Rejected
+2986,0, Graduate, No,6400000,25100000,16,628,16100000,2900000,18100000,6400000, Approved
+2987,3, Graduate, No,3100000,11200000,16,865,3600000,4600000,6600000,4200000, Approved
+2988,2, Graduate, No,1800000,5300000,2,679,1000000,1400000,5800000,900000, Approved
+2989,1, Graduate, Yes,9300000,19000000,14,689,24000000,11500000,35100000,9000000, Approved
+2990,5, Not Graduate, Yes,6500000,13800000,10,636,13000000,5500000,19400000,8100000, Approved
+2991,1, Not Graduate, No,3100000,6600000,20,837,4000000,4200000,12300000,4300000, Approved
+2992,3, Not Graduate, No,2300000,8500000,12,557,3600000,1400000,6200000,1300000, Approved
+2993,2, Graduate, No,500000,1700000,10,324,300000,300000,1800000,700000, Rejected
+2994,0, Not Graduate, Yes,3700000,9300000,14,531,8300000,1000000,8900000,1900000, Rejected
+2995,4, Not Graduate, Yes,8600000,21400000,14,476,6200000,2700000,28000000,12800000, Rejected
+2996,4, Graduate, No,2600000,8500000,4,775,600000,3800000,10400000,2600000, Approved
+2997,1, Not Graduate, Yes,7100000,18000000,20,477,6600000,13200000,19300000,9300000, Rejected
+2998,4, Not Graduate, Yes,7000000,19800000,16,682,9300000,5300000,14500000,7300000, Approved
+2999,5, Not Graduate, No,8300000,17700000,12,334,19600000,13200000,22500000,9800000, Rejected
+3000,3, Graduate, Yes,6800000,23900000,12,565,18800000,2800000,18800000,6700000, Approved
+3001,1, Not Graduate, Yes,9900000,25700000,2,340,15600000,18800000,29500000,11800000, Rejected
+3002,2, Graduate, No,5100000,11000000,14,322,7900000,2900000,10700000,5900000, Rejected
+3003,4, Graduate, Yes,3500000,10700000,8,883,200000,2300000,8400000,2000000, Approved
+3004,3, Graduate, Yes,4300000,12800000,16,346,3300000,1100000,11900000,3800000, Rejected
+3005,0, Graduate, Yes,5300000,20200000,2,861,500000,800000,16500000,6200000, Approved
+3006,5, Graduate, Yes,6400000,21900000,12,699,15700000,500000,17200000,3800000, Approved
+3007,0, Graduate, No,9300000,27200000,8,629,4500000,14300000,26900000,5000000, Approved
+3008,3, Graduate, No,1100000,3100000,14,359,1500000,1000000,4000000,1000000, Rejected
+3009,2, Not Graduate, No,7100000,27000000,10,430,20700000,8300000,24500000,4200000, Rejected
+3010,4, Not Graduate, No,1100000,3300000,18,417,1400000,1000000,4200000,700000, Rejected
+3011,2, Graduate, No,1900000,5200000,6,896,4300000,100000,6200000,2400000, Approved
+3012,0, Not Graduate, No,1300000,3900000,16,690,3600000,1700000,4700000,800000, Approved
+3013,5, Graduate, No,7500000,22800000,16,347,15100000,1200000,16100000,10700000, Rejected
+3014,4, Not Graduate, No,2400000,7000000,4,539,2300000,0,9600000,2900000, Rejected
+3015,4, Graduate, Yes,2500000,8000000,8,464,4000000,3000000,9000000,3000000, Rejected
+3016,4, Graduate, No,7500000,16200000,4,310,10800000,14300000,14900000,5800000, Rejected
+3017,3, Not Graduate, No,9300000,36600000,6,431,22000000,14600000,32900000,8800000, Rejected
+3018,5, Not Graduate, No,3300000,10000000,12,489,2000000,500000,7200000,2800000, Rejected
+3019,4, Not Graduate, Yes,5700000,13900000,12,775,1600000,3100000,15900000,7100000, Approved
+3020,4, Not Graduate, No,300000,600000,6,365,-100000,400000,600000,200000, Rejected
+3021,2, Not Graduate, Yes,1200000,4500000,10,555,100000,1100000,2700000,1400000, Approved
+3022,4, Graduate, Yes,8200000,29600000,10,457,6700000,6700000,21400000,11000000, Rejected
+3023,3, Not Graduate, No,5500000,12400000,8,580,800000,900000,19300000,7300000, Approved
+3024,4, Not Graduate, No,1800000,7200000,20,496,3000000,1100000,7200000,2000000, Rejected
+3025,0, Not Graduate, No,3500000,11400000,16,837,3700000,2100000,10000000,2700000, Approved
+3026,4, Not Graduate, Yes,6000000,13200000,6,455,7300000,5900000,16500000,7100000, Rejected
+3027,0, Graduate, Yes,2700000,9700000,20,551,1300000,1300000,7100000,1600000, Approved
+3028,4, Not Graduate, Yes,5900000,20700000,10,825,11700000,7900000,21000000,8500000, Approved
+3029,1, Not Graduate, Yes,2100000,4200000,18,554,3400000,800000,6400000,1500000, Approved
+3030,0, Not Graduate, Yes,2000000,5200000,18,400,1900000,1500000,5000000,1500000, Rejected
+3031,5, Not Graduate, No,9000000,34300000,10,853,22500000,11900000,32200000,10100000, Approved
+3032,1, Not Graduate, Yes,7600000,18800000,14,403,20900000,4700000,24700000,10000000, Rejected
+3033,3, Graduate, No,500000,1500000,6,392,1400000,200000,1800000,600000, Rejected
+3034,1, Graduate, No,6300000,19000000,20,673,14600000,8100000,16000000,4200000, Approved
+3035,0, Graduate, Yes,3100000,7100000,10,498,3800000,1100000,12200000,4300000, Rejected
+3036,1, Not Graduate, No,1100000,2600000,6,858,1800000,1900000,2700000,600000, Approved
+3037,4, Graduate, Yes,3900000,14300000,20,477,1000000,4600000,9100000,2900000, Rejected
+3038,4, Not Graduate, Yes,8700000,28200000,12,548,11800000,9900000,19800000,8500000, Rejected
+3039,4, Not Graduate, Yes,6400000,23900000,6,300,16200000,11600000,24900000,7000000, Rejected
+3040,2, Graduate, Yes,200000,800000,12,483,100000,200000,600000,300000, Rejected
+3041,1, Graduate, No,2400000,5800000,20,384,1700000,2500000,8400000,3100000, Rejected
+3042,3, Not Graduate, No,8900000,35200000,10,894,17100000,5600000,27700000,9800000, Approved
+3043,3, Not Graduate, No,6100000,14800000,10,492,6700000,3500000,17900000,6100000, Rejected
+3044,5, Not Graduate, Yes,7600000,25700000,4,607,12900000,13600000,29100000,4900000, Approved
+3045,3, Not Graduate, No,900000,2400000,16,701,700000,0,2000000,400000, Approved
+3046,2, Not Graduate, Yes,7100000,19700000,20,890,13900000,3900000,22200000,4000000, Approved
+3047,2, Not Graduate, Yes,5000000,14600000,10,808,4400000,3500000,17300000,3100000, Approved
+3048,4, Graduate, Yes,2000000,7400000,20,596,600000,2300000,4900000,2500000, Approved
+3049,4, Graduate, Yes,2600000,6200000,14,421,2500000,2200000,8900000,3400000, Rejected
+3050,2, Graduate, Yes,7000000,14900000,20,495,9900000,8800000,14000000,10200000, Rejected
+3051,3, Graduate, No,3900000,9800000,6,604,10900000,7300000,7700000,3300000, Approved
+3052,3, Graduate, No,8400000,32600000,4,509,22700000,12600000,32400000,8700000, Approved
+3053,0, Graduate, Yes,200000,600000,8,852,500000,0,400000,200000, Approved
+3054,2, Not Graduate, Yes,1900000,6700000,16,893,5600000,3600000,6300000,1600000, Approved
+3055,2, Not Graduate, Yes,9200000,33000000,14,874,3900000,9700000,31200000,6600000, Approved
+3056,3, Not Graduate, Yes,300000,500000,6,386,800000,200000,1200000,100000, Rejected
+3057,5, Graduate, No,6300000,18100000,4,590,5400000,10900000,22400000,8600000, Approved
+3058,2, Not Graduate, No,6100000,23500000,14,510,9000000,9500000,12400000,3400000, Rejected
+3059,3, Graduate, Yes,7800000,25600000,6,523,13600000,7100000,20800000,9200000, Rejected
+3060,0, Graduate, Yes,2000000,6700000,8,461,4900000,2200000,7200000,2600000, Rejected
+3061,4, Not Graduate, No,1900000,5600000,2,832,2700000,3300000,7100000,2400000, Approved
+3062,2, Not Graduate, Yes,3300000,9600000,18,896,9900000,900000,12100000,4900000, Approved
+3063,0, Not Graduate, Yes,9500000,26000000,2,732,22500000,15600000,20400000,9300000, Approved
+3064,0, Graduate, Yes,3500000,13900000,16,301,10300000,100000,8700000,2700000, Rejected
+3065,5, Graduate, No,4400000,15800000,4,701,4100000,6300000,17100000,4100000, Approved
+3066,2, Not Graduate, No,2000000,4000000,14,502,4900000,1500000,5400000,1300000, Rejected
+3067,3, Not Graduate, No,9200000,19500000,12,742,18300000,9900000,19500000,13700000, Approved
+3068,1, Not Graduate, No,2200000,5000000,2,755,1100000,2500000,6700000,3200000, Approved
+3069,1, Not Graduate, No,1900000,7100000,2,834,3900000,2300000,5800000,1400000, Approved
+3070,5, Graduate, Yes,8700000,18400000,12,394,18800000,3200000,24600000,12000000, Rejected
+3071,3, Graduate, Yes,9700000,19700000,4,663,16700000,2200000,36200000,5200000, Approved
+3072,3, Graduate, No,9400000,20300000,10,649,19600000,6700000,36100000,10000000, Approved
+3073,4, Not Graduate, Yes,8000000,23200000,14,738,10900000,12100000,19900000,5400000, Approved
+3074,5, Not Graduate, No,1000000,2000000,4,524,2700000,1800000,2200000,700000, Rejected
+3075,5, Not Graduate, No,5300000,14600000,16,855,4200000,1600000,11200000,7400000, Approved
+3076,3, Graduate, Yes,1400000,5400000,20,304,1700000,1300000,2900000,800000, Rejected
+3077,2, Graduate, Yes,1600000,3800000,12,532,3200000,1400000,5400000,1100000, Rejected
+3078,3, Graduate, Yes,3400000,8500000,6,584,4200000,4700000,6800000,3700000, Approved
+3079,3, Graduate, No,7800000,28700000,4,447,7200000,9500000,20100000,11300000, Approved
+3080,4, Not Graduate, No,7100000,19900000,14,852,4700000,3200000,19700000,7600000, Approved
+3081,1, Not Graduate, Yes,6000000,13100000,2,368,9900000,2200000,13700000,4900000, Rejected
+3082,3, Not Graduate, Yes,8200000,28900000,10,447,4400000,14700000,29400000,6800000, Rejected
+3083,4, Graduate, No,3900000,11400000,20,867,3800000,1100000,13600000,3200000, Approved
+3084,5, Not Graduate, Yes,8400000,17600000,12,397,13400000,14500000,24500000,7900000, Rejected
+3085,4, Graduate, No,9700000,19400000,20,798,6400000,13700000,20300000,12800000, Approved
+3086,1, Not Graduate, Yes,8300000,26300000,20,530,22800000,11000000,33200000,8000000, Rejected
+3087,4, Graduate, No,2500000,9900000,16,356,5500000,2600000,6100000,2300000, Rejected
+3088,3, Graduate, No,6100000,24000000,18,718,4100000,3400000,16600000,6800000, Approved
+3089,3, Not Graduate, No,5000000,13000000,10,459,2900000,3400000,18200000,7200000, Rejected
+3090,3, Not Graduate, No,9500000,22200000,8,571,4400000,8600000,24400000,10500000, Approved
+3091,2, Graduate, No,5700000,20500000,8,412,5800000,4300000,21200000,4900000, Rejected
+3092,1, Graduate, Yes,5000000,12500000,20,604,4100000,100000,12200000,7400000, Approved
+3093,4, Not Graduate, Yes,8600000,20600000,16,449,10800000,10600000,28700000,5400000, Rejected
+3094,5, Not Graduate, No,1400000,5300000,12,778,1600000,700000,4400000,700000, Approved
+3095,3, Graduate, No,5900000,21200000,16,476,11700000,4800000,14800000,7700000, Rejected
+3096,4, Graduate, Yes,4100000,10400000,12,727,11900000,5900000,16400000,4400000, Approved
+3097,3, Graduate, No,7400000,18500000,8,818,10400000,8800000,28000000,8400000, Approved
+3098,1, Graduate, Yes,7100000,19300000,16,738,7200000,0,24300000,3600000, Approved
+3099,5, Graduate, Yes,5300000,18200000,16,546,14600000,7900000,13400000,4000000, Rejected
+3100,2, Not Graduate, No,6600000,14100000,2,471,10800000,11400000,20700000,6000000, Rejected
+3101,3, Not Graduate, No,2800000,10600000,4,860,5200000,4700000,6700000,2900000, Approved
+3102,1, Not Graduate, Yes,1600000,4400000,4,364,2500000,700000,4300000,2400000, Rejected
+3103,0, Graduate, Yes,8500000,25300000,20,557,13000000,5100000,23900000,7100000, Approved
+3104,1, Not Graduate, Yes,5200000,20700000,12,612,2200000,2600000,16500000,3200000, Approved
+3105,2, Not Graduate, Yes,6400000,19300000,6,414,7200000,1800000,19100000,3900000, Rejected
+3106,5, Graduate, No,1300000,2900000,4,372,1700000,100000,2800000,600000, Rejected
+3107,0, Graduate, No,5600000,11600000,12,466,15000000,7400000,21800000,7500000, Rejected
+3108,3, Graduate, Yes,9000000,19800000,20,348,8600000,9200000,25300000,6000000, Rejected
+3109,1, Not Graduate, Yes,7800000,17200000,4,597,3700000,12700000,17400000,8500000, Approved
+3110,4, Not Graduate, Yes,4000000,11000000,8,791,500000,4700000,10300000,3000000, Approved
+3111,0, Graduate, Yes,700000,1800000,12,400,1500000,1100000,2200000,300000, Rejected
+3112,5, Graduate, Yes,7300000,18700000,16,813,6600000,8200000,20000000,5800000, Approved
+3113,0, Not Graduate, Yes,5200000,15400000,4,675,15300000,8800000,12800000,2900000, Approved
+3114,1, Not Graduate, No,6200000,18200000,18,324,3100000,12000000,19200000,3400000, Rejected
+3115,4, Graduate, No,1100000,3600000,8,693,2400000,1300000,3800000,1500000, Approved
+3116,1, Not Graduate, Yes,5600000,13700000,8,491,10100000,3700000,18500000,4200000, Rejected
+3117,5, Graduate, Yes,3400000,9800000,8,559,3500000,2900000,8300000,2200000, Approved
+3118,4, Graduate, No,1500000,4900000,16,392,1800000,1100000,3000000,2000000, Rejected
+3119,2, Not Graduate, No,5800000,18600000,18,532,10900000,900000,12300000,6700000, Rejected
+3120,4, Not Graduate, No,9800000,29400000,8,592,29100000,16700000,35900000,9000000, Approved
+3121,5, Not Graduate, No,8300000,23100000,4,459,5500000,14300000,28400000,5500000, Rejected
+3122,4, Graduate, Yes,500000,1200000,4,627,0,500000,1800000,700000, Approved
+3123,4, Graduate, No,1900000,6100000,2,462,2100000,3300000,5400000,2500000, Approved
+3124,1, Not Graduate, Yes,9700000,24700000,14,600,13600000,14000000,35500000,6700000, Approved
+3125,5, Not Graduate, No,1800000,6200000,18,366,3500000,2400000,6300000,1300000, Rejected
+3126,0, Graduate, Yes,3300000,9700000,14,356,9800000,4800000,9400000,1900000, Rejected
+3127,5, Graduate, No,900000,2300000,16,590,1200000,1500000,2100000,900000, Approved
+3128,5, Graduate, Yes,8200000,28900000,4,485,16500000,3000000,19400000,6800000, Approved
+3129,1, Not Graduate, Yes,500000,1700000,18,617,400000,100000,1400000,500000, Approved
+3130,5, Graduate, Yes,1000000,2600000,8,664,900000,1200000,3500000,900000, Approved
+3131,3, Not Graduate, No,7100000,27900000,8,583,8900000,7600000,19600000,6300000, Approved
+3132,1, Graduate, Yes,200000,400000,18,859,300000,100000,400000,200000, Approved
+3133,2, Graduate, No,3100000,7300000,14,504,3200000,0,7200000,1500000, Rejected
+3134,4, Graduate, No,700000,2300000,16,688,1500000,300000,1900000,400000, Approved
+3135,3, Not Graduate, No,1800000,5700000,2,422,4800000,0,3700000,2300000, Approved
+3136,3, Not Graduate, Yes,8400000,27000000,8,746,15000000,8400000,27000000,12500000, Approved
+3137,3, Graduate, No,7400000,17500000,20,317,17700000,14000000,27000000,9500000, Rejected
+3138,2, Not Graduate, Yes,6700000,20200000,6,701,8800000,12200000,13900000,8200000, Approved
+3139,1, Graduate, Yes,1700000,6000000,16,754,3900000,1500000,6400000,1800000, Approved
+3140,3, Not Graduate, Yes,300000,600000,10,515,300000,200000,1000000,200000, Rejected
+3141,1, Graduate, Yes,3800000,8800000,12,670,5200000,4700000,12200000,3800000, Approved
+3142,5, Graduate, Yes,1300000,4000000,8,407,3800000,1300000,3500000,1100000, Rejected
+3143,5, Not Graduate, Yes,3100000,10900000,12,884,6100000,3700000,12300000,4100000, Approved
+3144,1, Graduate, Yes,200000,400000,20,882,400000,100000,300000,0, Approved
+3145,2, Not Graduate, Yes,8100000,24700000,6,595,5500000,14300000,27300000,6500000, Approved
+3146,1, Not Graduate, Yes,8900000,22900000,4,757,8200000,11600000,17800000,7800000, Approved
+3147,5, Graduate, Yes,4200000,8500000,4,386,8700000,4600000,10500000,6000000, Rejected
+3148,5, Not Graduate, Yes,4100000,11100000,18,756,1700000,3000000,10800000,3000000, Approved
+3149,3, Not Graduate, No,8300000,25700000,12,453,24000000,14600000,20400000,5700000, Rejected
+3150,3, Not Graduate, No,7500000,25200000,8,316,1000000,800000,18300000,9000000, Rejected
+3151,3, Graduate, No,2100000,7700000,6,703,700000,4000000,8200000,1300000, Approved
+3152,3, Graduate, No,1400000,3200000,8,753,2200000,2000000,3600000,2000000, Approved
+3153,0, Not Graduate, No,6900000,23500000,2,621,7800000,7300000,23100000,9400000, Approved
+3154,0, Graduate, Yes,2500000,9100000,10,852,5000000,4700000,7400000,1500000, Approved
+3155,3, Not Graduate, Yes,3800000,9400000,12,301,7800000,2800000,14900000,5000000, Rejected
+3156,3, Not Graduate, Yes,7700000,29300000,10,359,6800000,6100000,21900000,4200000, Rejected
+3157,1, Not Graduate, No,3200000,6600000,16,534,8800000,2600000,6500000,1800000, Rejected
+3158,0, Not Graduate, Yes,8600000,20000000,10,704,25400000,10000000,30800000,10300000, Approved
+3159,3, Not Graduate, Yes,3800000,13700000,16,662,4800000,400000,12400000,5300000, Approved
+3160,3, Graduate, No,8400000,31100000,18,599,20600000,14100000,20500000,8500000, Approved
+3161,1, Graduate, No,1600000,5400000,4,319,4200000,2200000,4200000,1600000, Approved
+3162,2, Not Graduate, No,7800000,19400000,16,549,18600000,13300000,24100000,6900000, Rejected
+3163,1, Graduate, Yes,9400000,21000000,12,443,14100000,2700000,23200000,5600000, Rejected
+3164,3, Not Graduate, Yes,9900000,26700000,10,550,22200000,15900000,36800000,6600000, Approved
+3165,4, Not Graduate, No,2400000,8000000,18,393,-100000,200000,7600000,3000000, Rejected
+3166,2, Graduate, Yes,7500000,15100000,8,488,19800000,0,28500000,6700000, Rejected
+3167,5, Graduate, No,3300000,11800000,16,845,6000000,1500000,9200000,2600000, Approved
+3168,2, Graduate, No,5500000,19000000,2,382,12500000,1000000,15200000,8100000, Approved
+3169,5, Not Graduate, No,2400000,7500000,12,357,2600000,2900000,6100000,1300000, Rejected
+3170,1, Not Graduate, Yes,8700000,27500000,16,815,8000000,13400000,23600000,5900000, Approved
+3171,1, Not Graduate, No,9600000,26000000,16,368,18500000,16600000,29900000,8400000, Rejected
+3172,0, Graduate, No,8400000,19800000,16,674,500000,12200000,27400000,10700000, Approved
+3173,5, Not Graduate, No,9200000,23900000,10,335,5800000,15300000,35400000,10700000, Rejected
+3174,2, Graduate, Yes,4600000,12600000,2,355,6300000,6900000,14800000,6500000, Rejected
+3175,5, Not Graduate, No,7600000,17500000,6,510,9100000,3500000,15700000,9800000, Rejected
+3176,4, Graduate, No,8500000,17800000,4,698,6700000,4300000,28600000,8000000, Approved
+3177,4, Not Graduate, Yes,3100000,8200000,18,408,2900000,3800000,10800000,3100000, Rejected
+3178,3, Graduate, Yes,4900000,13100000,18,401,5700000,4100000,16400000,3600000, Rejected
+3179,5, Not Graduate, Yes,5800000,14000000,14,418,3900000,10400000,15100000,6800000, Rejected
+3180,0, Not Graduate, No,5700000,21300000,4,697,3000000,6800000,20000000,5500000, Approved
+3181,4, Graduate, No,3200000,12200000,14,683,-100000,1100000,7500000,2900000, Rejected
+3182,4, Not Graduate, Yes,8000000,31500000,16,763,14900000,8800000,17600000,8900000, Approved
+3183,4, Not Graduate, No,5000000,11400000,6,336,1600000,4000000,15500000,2500000, Rejected
+3184,2, Not Graduate, Yes,2900000,8300000,10,693,7500000,1900000,9700000,4300000, Approved
+3185,2, Not Graduate, No,6400000,23900000,18,745,14800000,4000000,16300000,7000000, Approved
+3186,5, Graduate, No,6300000,22500000,18,629,300000,3900000,23100000,8000000, Approved
+3187,0, Not Graduate, No,5900000,23300000,16,581,2200000,8100000,14900000,5800000, Approved
+3188,1, Graduate, No,8100000,29600000,4,672,8200000,5100000,21100000,5400000, Approved
+3189,5, Graduate, Yes,7100000,20100000,4,700,16900000,2900000,15600000,4500000, Approved
+3190,1, Not Graduate, No,1400000,4400000,14,787,1600000,1200000,4200000,800000, Approved
+3191,3, Graduate, Yes,2300000,8000000,8,300,4200000,3800000,7300000,1200000, Rejected
+3192,1, Graduate, No,7400000,16100000,4,655,22000000,12900000,25300000,4300000, Approved
+3193,0, Graduate, Yes,5300000,13300000,12,572,4200000,2500000,18000000,7100000, Approved
+3194,5, Graduate, Yes,7700000,16400000,2,663,1100000,14800000,15800000,3900000, Approved
+3195,0, Not Graduate, No,5000000,10700000,16,726,1600000,1100000,15700000,4800000, Approved
+3196,5, Not Graduate, Yes,6000000,12300000,12,680,11400000,5300000,13800000,7300000, Approved
+3197,0, Graduate, No,1400000,2700000,2,685,3400000,800000,5400000,1300000, Approved
+3198,5, Not Graduate, Yes,9400000,23100000,6,762,12400000,10200000,22300000,6600000, Approved
+3199,3, Not Graduate, No,5200000,17200000,18,768,9200000,5500000,11700000,3800000, Approved
+3200,0, Graduate, No,3100000,11100000,8,504,3500000,4600000,11400000,1800000, Rejected
+3201,3, Not Graduate, Yes,8400000,20500000,12,796,22900000,10500000,17600000,11200000, Approved
+3202,0, Not Graduate, No,1200000,2900000,18,348,400000,1200000,2900000,600000, Rejected
+3203,5, Not Graduate, Yes,4800000,13100000,6,717,8300000,8900000,18300000,2800000, Approved
+3204,5, Not Graduate, Yes,9200000,34200000,4,565,500000,13900000,23600000,12300000, Approved
+3205,2, Not Graduate, No,5300000,10900000,6,647,14600000,3500000,18700000,3200000, Approved
+3206,3, Graduate, No,4700000,10900000,2,626,9200000,2300000,14600000,5200000, Approved
+3207,0, Not Graduate, No,6500000,24700000,6,554,2700000,1100000,22700000,9600000, Approved
+3208,4, Graduate, Yes,3200000,11500000,20,864,8700000,5000000,12100000,4100000, Approved
+3209,4, Graduate, No,4600000,12500000,6,406,10800000,200000,14000000,6800000, Rejected
+3210,5, Graduate, No,700000,1800000,10,650,1300000,100000,1500000,300000, Approved
+3211,5, Not Graduate, Yes,7600000,16500000,8,534,8900000,10300000,24900000,8300000, Rejected
+3212,4, Graduate, No,1200000,2600000,8,872,1600000,2100000,2700000,900000, Approved
+3213,2, Graduate, No,5100000,16500000,12,845,12100000,9000000,11400000,5700000, Approved
+3214,1, Not Graduate, Yes,4300000,16300000,14,792,400000,400000,10200000,4000000, Rejected
+3215,4, Graduate, No,300000,1200000,18,544,700000,100000,800000,100000, Rejected
+3216,2, Graduate, Yes,4000000,13000000,10,552,3700000,1600000,15600000,3400000, Approved
+3217,5, Not Graduate, No,3900000,14900000,12,837,1100000,500000,14400000,3600000, Approved
+3218,0, Not Graduate, Yes,6900000,21300000,18,845,17400000,5600000,21400000,6600000, Approved
+3219,4, Not Graduate, Yes,7000000,24100000,10,677,18800000,6000000,21600000,6300000, Approved
+3220,1, Graduate, No,6300000,18300000,20,430,13000000,1300000,23000000,9200000, Rejected
+3221,3, Graduate, Yes,8900000,22500000,12,887,23300000,10800000,33500000,9500000, Approved
+3222,0, Not Graduate, Yes,5700000,19400000,8,544,4300000,6400000,19900000,5800000, Rejected
+3223,4, Not Graduate, Yes,5200000,18300000,10,355,400000,3800000,10600000,3400000, Rejected
+3224,4, Graduate, No,7400000,17500000,4,540,8800000,7600000,17900000,3600000, Rejected
+3225,5, Graduate, No,6500000,16000000,14,444,1100000,7900000,23100000,7900000, Rejected
+3226,3, Graduate, No,6200000,14900000,14,567,1200000,9100000,20800000,8800000, Approved
+3227,5, Not Graduate, Yes,2400000,6500000,20,513,6400000,2100000,5200000,2600000, Rejected
+3228,0, Not Graduate, No,2500000,7100000,10,590,4000000,800000,6100000,2600000, Approved
+3229,2, Graduate, Yes,2700000,8500000,20,368,4900000,4500000,5900000,2100000, Rejected
+3230,5, Not Graduate, No,3000000,7600000,6,413,2300000,3500000,11400000,1700000, Rejected
+3231,4, Graduate, Yes,6100000,13600000,4,401,10700000,2000000,20500000,3900000, Rejected
+3232,3, Graduate, No,1500000,5400000,18,687,200000,400000,4500000,1700000, Approved
+3233,2, Graduate, No,6500000,14100000,14,577,4600000,12000000,25100000,3900000, Approved
+3234,4, Not Graduate, No,200000,700000,10,576,500000,100000,400000,300000, Approved
+3235,1, Not Graduate, No,9900000,23400000,16,687,28200000,3700000,29600000,8200000, Approved
+3236,4, Graduate, No,5500000,11600000,12,474,1800000,2400000,20100000,5600000, Rejected
+3237,4, Graduate, No,1200000,4400000,6,709,2800000,2300000,4100000,1700000, Approved
+3238,4, Graduate, Yes,6900000,20200000,18,438,9600000,6200000,26800000,5700000, Rejected
+3239,3, Graduate, Yes,8000000,25300000,4,306,22300000,7300000,24400000,6600000, Approved
+3240,3, Not Graduate, Yes,4100000,13900000,20,383,1900000,2300000,15800000,3800000, Rejected
+3241,2, Graduate, No,1400000,4700000,20,563,400000,2300000,2800000,1400000, Approved
+3242,4, Not Graduate, Yes,1600000,3200000,20,371,1600000,2300000,4600000,1000000, Rejected
+3243,1, Graduate, No,2100000,4200000,12,379,2700000,2100000,8100000,2500000, Rejected
+3244,1, Not Graduate, No,8800000,30200000,18,897,17100000,7900000,28700000,11100000, Approved
+3245,3, Not Graduate, Yes,7100000,25400000,10,725,20600000,5300000,16000000,8600000, Approved
+3246,1, Not Graduate, No,8600000,31500000,16,678,19700000,13400000,22200000,5300000, Approved
+3247,2, Not Graduate, Yes,5400000,14800000,6,724,1000000,400000,13100000,5400000, Approved
+3248,3, Graduate, Yes,1000000,2500000,6,808,2900000,600000,2000000,500000, Approved
+3249,0, Graduate, No,5400000,18400000,8,625,12100000,3000000,13000000,4800000, Approved
+3250,2, Graduate, No,4200000,16800000,4,771,6500000,4500000,10500000,5800000, Approved
+3251,2, Not Graduate, No,7500000,22400000,14,695,8100000,3900000,15300000,9400000, Approved
+3252,4, Graduate, No,1200000,3300000,2,564,2200000,500000,4700000,1100000, Approved
+3253,4, Graduate, Yes,6300000,14500000,10,349,3800000,12300000,16500000,5700000, Rejected
+3254,4, Graduate, Yes,300000,900000,4,797,300000,400000,600000,400000, Approved
+3255,3, Graduate, No,7400000,28800000,8,391,20000000,7900000,23600000,7200000, Rejected
+3256,5, Not Graduate, No,2200000,5400000,12,833,4900000,3300000,7000000,1600000, Approved
+3257,5, Graduate, No,4000000,9100000,10,515,600000,6400000,9900000,5500000, Rejected
+3258,4, Graduate, Yes,2700000,10400000,16,671,6100000,3700000,5600000,4000000, Approved
+3259,0, Not Graduate, Yes,2000000,6900000,4,404,4900000,1600000,4200000,3000000, Approved
+3260,4, Not Graduate, No,6400000,14800000,6,537,2300000,3700000,18600000,6500000, Rejected
+3261,5, Not Graduate, Yes,1400000,5100000,4,348,2100000,900000,4000000,1300000, Approved
+3262,0, Not Graduate, Yes,2800000,6300000,12,647,4100000,0,8700000,2300000, Approved
+3263,2, Not Graduate, Yes,8200000,28700000,14,316,23300000,16100000,17700000,4300000, Rejected
+3264,3, Not Graduate, No,9000000,26700000,14,638,5300000,0,31300000,5200000, Approved
+3265,5, Not Graduate, Yes,800000,2100000,12,363,1200000,1000000,3100000,900000, Rejected
+3266,4, Not Graduate, Yes,6100000,21200000,6,808,700000,7200000,22300000,6100000, Approved
+3267,4, Not Graduate, Yes,2400000,9400000,2,871,3700000,300000,7100000,3500000, Approved
+3268,4, Graduate, Yes,6000000,17000000,12,607,15300000,3200000,22100000,3900000, Approved
+3269,2, Not Graduate, Yes,7900000,22500000,6,571,8100000,5300000,17900000,8100000, Approved
+3270,3, Graduate, Yes,9500000,25700000,18,446,16900000,13600000,29300000,10100000, Rejected
+3271,3, Not Graduate, Yes,1800000,6400000,20,436,1500000,2900000,4400000,1300000, Rejected
+3272,3, Not Graduate, Yes,5800000,14100000,12,738,11700000,4400000,15400000,8400000, Approved
+3273,3, Graduate, No,2800000,9400000,10,519,7000000,3500000,7700000,1500000, Rejected
+3274,3, Graduate, Yes,4000000,8300000,8,531,3700000,7400000,15200000,5900000, Rejected
+3275,1, Not Graduate, No,1000000,3400000,18,578,2300000,400000,3100000,1200000, Approved
+3276,0, Graduate, No,9100000,21100000,20,578,5900000,6200000,33700000,5600000, Approved
+3277,0, Graduate, No,4600000,18100000,14,442,2800000,200000,15600000,3300000, Rejected
+3278,2, Not Graduate, No,7800000,16900000,6,751,17400000,6300000,20400000,11700000, Approved
+3279,4, Graduate, Yes,6600000,18800000,10,353,16500000,9500000,20000000,6200000, Rejected
+3280,5, Not Graduate, No,9800000,26600000,12,664,5200000,2900000,22500000,14100000, Approved
+3281,1, Graduate, No,7400000,26600000,18,505,2200000,2400000,22400000,3900000, Rejected
+3282,3, Graduate, Yes,4300000,16600000,10,571,5700000,3700000,12800000,5800000, Approved
+3283,2, Not Graduate, Yes,9800000,34600000,16,754,12400000,14900000,34700000,6100000, Approved
+3284,5, Not Graduate, No,1100000,3900000,20,858,3200000,1200000,3800000,1100000, Approved
+3285,3, Graduate, Yes,8600000,21800000,20,641,5300000,8800000,24000000,9100000, Approved
+3286,0, Not Graduate, Yes,9400000,35500000,16,592,9300000,11800000,30500000,5800000, Approved
+3287,3, Graduate, Yes,5300000,20300000,14,432,15000000,0,17200000,5900000, Rejected
+3288,1, Not Graduate, Yes,8700000,33800000,18,558,18300000,11500000,31500000,5900000, Approved
+3289,3, Graduate, Yes,4800000,14200000,12,547,10400000,700000,9800000,2400000, Rejected
+3290,4, Not Graduate, No,4400000,9800000,18,732,2400000,2400000,15100000,4400000, Approved
+3291,1, Graduate, Yes,5400000,19300000,12,784,5000000,1800000,20300000,6500000, Approved
+3292,5, Not Graduate, Yes,8400000,31900000,10,605,18900000,10300000,22000000,9100000, Approved
+3293,1, Graduate, Yes,5400000,19500000,18,688,12100000,800000,17000000,3500000, Approved
+3294,3, Not Graduate, Yes,9400000,32100000,10,617,22700000,5800000,29400000,11400000, Approved
+3295,0, Not Graduate, Yes,800000,2400000,4,518,500000,800000,2800000,500000, Approved
+3296,0, Not Graduate, No,3800000,14800000,10,390,5900000,5700000,9500000,4600000, Rejected
+3297,4, Graduate, No,3100000,6300000,4,370,8600000,4100000,8800000,2800000, Rejected
+3298,3, Not Graduate, Yes,6000000,21300000,4,802,4700000,8900000,17300000,7600000, Approved
+3299,2, Not Graduate, Yes,6800000,15500000,12,338,9900000,1200000,21800000,8500000, Rejected
+3300,5, Not Graduate, No,5200000,11700000,6,658,8100000,5100000,11400000,5600000, Approved
+3301,0, Not Graduate, No,1900000,6700000,12,595,3000000,3200000,4900000,1700000, Approved
+3302,5, Graduate, Yes,3600000,8500000,20,594,4400000,6400000,7400000,4500000, Approved
+3303,3, Graduate, Yes,1500000,4100000,14,611,600000,2000000,4800000,2100000, Approved
+3304,3, Not Graduate, No,2000000,5800000,8,799,3000000,3100000,5500000,1000000, Approved
+3305,5, Graduate, No,9200000,18600000,20,497,1000000,300000,24200000,10700000, Rejected
+3306,0, Not Graduate, Yes,6100000,15900000,18,456,12900000,10800000,19100000,8800000, Rejected
+3307,5, Not Graduate, No,300000,500000,8,396,400000,300000,1200000,200000, Rejected
+3308,1, Graduate, No,800000,2300000,10,770,900000,900000,2900000,1100000, Approved
+3309,0, Not Graduate, No,3300000,9000000,16,797,3000000,6400000,10300000,3300000, Approved
+3310,1, Not Graduate, No,5800000,18700000,20,586,14100000,3000000,15600000,6000000, Approved
+3311,5, Not Graduate, No,8500000,23400000,16,604,25100000,16500000,24500000,4800000, Approved
+3312,0, Not Graduate, Yes,4100000,12800000,8,799,3700000,700000,9400000,2700000, Approved
+3313,2, Graduate, No,7800000,26400000,4,763,2200000,8400000,16600000,6700000, Approved
+3314,0, Graduate, No,7500000,23000000,14,725,8900000,4800000,20200000,7100000, Approved
+3315,2, Graduate, No,2300000,8800000,18,336,1800000,800000,5200000,1500000, Rejected
+3316,4, Graduate, Yes,600000,2300000,6,495,1700000,600000,2000000,300000, Rejected
+3317,1, Not Graduate, No,2900000,11500000,20,431,3600000,3800000,5900000,3100000, Rejected
+3318,5, Not Graduate, No,900000,2200000,2,415,600000,1700000,2900000,700000, Rejected
+3319,5, Graduate, Yes,9000000,20400000,6,451,5200000,11400000,28200000,9000000, Rejected
+3320,1, Not Graduate, No,4800000,14300000,4,489,12400000,7900000,17700000,3600000, Rejected
+3321,1, Graduate, No,1600000,4600000,12,415,800000,600000,3900000,1500000, Rejected
+3322,3, Not Graduate, No,2600000,8100000,12,425,7300000,1900000,6800000,2200000, Rejected
+3323,4, Graduate, Yes,1800000,4600000,14,453,1700000,2400000,4700000,1600000, Rejected
+3324,5, Graduate, Yes,4400000,11800000,20,634,5900000,7300000,15200000,4300000, Approved
+3325,2, Not Graduate, No,200000,300000,20,519,0,0,400000,300000, Rejected
+3326,4, Not Graduate, Yes,800000,2100000,6,353,700000,300000,2900000,1200000, Rejected
+3327,3, Graduate, No,1500000,3200000,4,767,2000000,400000,3700000,1400000, Approved
+3328,0, Not Graduate, Yes,7700000,16900000,14,473,22100000,4000000,29000000,6400000, Rejected
+3329,5, Graduate, Yes,7200000,21300000,2,801,9900000,1700000,20400000,7200000, Approved
+3330,4, Graduate, No,1000000,2300000,16,543,200000,100000,2000000,1000000, Rejected
+3331,1, Graduate, No,6300000,17200000,12,714,10100000,4200000,24700000,8500000, Approved
+3332,3, Graduate, No,1900000,4100000,12,830,4600000,1100000,5300000,2100000, Approved
+3333,5, Graduate, No,4400000,15300000,4,401,200000,5400000,17500000,2400000, Approved
+3334,0, Not Graduate, No,9100000,26400000,6,518,15800000,1100000,35300000,5700000, Rejected
+3335,2, Graduate, Yes,900000,2300000,20,367,0,1200000,3400000,1300000, Rejected
+3336,0, Graduate, Yes,4600000,12000000,12,493,4500000,700000,16200000,3600000, Rejected
+3337,2, Graduate, Yes,9400000,22700000,14,505,4000000,16900000,24700000,11500000, Rejected
+3338,5, Graduate, No,6900000,26500000,16,322,20500000,9800000,17100000,9400000, Rejected
+3339,2, Graduate, No,300000,900000,8,735,800000,400000,500000,100000, Approved
+3340,5, Graduate, Yes,1900000,6700000,2,622,4200000,200000,3900000,1700000, Approved
+3341,4, Graduate, Yes,4400000,16400000,6,513,5400000,7500000,13100000,5700000, Rejected
+3342,4, Not Graduate, Yes,1200000,4100000,16,585,900000,900000,2300000,900000, Approved
+3343,1, Graduate, Yes,1000000,3000000,10,813,2900000,500000,3300000,800000, Approved
+3344,0, Graduate, No,3100000,10400000,18,622,1300000,5000000,7200000,1600000, Approved
+3345,1, Graduate, Yes,2100000,6300000,16,899,2400000,2200000,4400000,2200000, Approved
+3346,0, Not Graduate, No,2100000,4700000,2,459,4000000,1300000,8100000,1200000, Rejected
+3347,4, Graduate, No,9400000,33300000,18,369,20600000,5600000,32200000,7200000, Rejected
+3348,2, Not Graduate, No,9700000,37700000,6,601,300000,3100000,23800000,11800000, Approved
+3349,4, Graduate, No,1400000,2700000,18,703,600000,1300000,5400000,900000, Approved
+3350,2, Not Graduate, No,4700000,14600000,20,597,8200000,6000000,14100000,6800000, Approved
+3351,3, Not Graduate, Yes,4100000,13300000,10,670,1900000,5500000,13200000,6100000, Approved
+3352,4, Not Graduate, Yes,1200000,2800000,6,366,3300000,300000,4200000,1400000, Rejected
+3353,5, Not Graduate, No,7900000,27800000,16,857,23300000,12500000,17200000,10600000, Approved
+3354,2, Not Graduate, No,6600000,15000000,16,401,13600000,6600000,23500000,3300000, Rejected
+3355,0, Not Graduate, No,2200000,8800000,4,437,1600000,2300000,8300000,2000000, Approved
+3356,3, Not Graduate, No,5500000,17600000,8,882,5800000,7800000,20300000,3100000, Approved
+3357,4, Graduate, No,5100000,15500000,8,392,6700000,8100000,13600000,6700000, Rejected
+3358,2, Not Graduate, Yes,3900000,7700000,10,421,9700000,7500000,14100000,2100000, Rejected
+3359,5, Graduate, No,200000,400000,6,722,300000,300000,400000,100000, Approved
+3360,4, Graduate, No,5800000,14700000,10,692,2300000,10100000,17700000,3900000, Approved
+3361,5, Not Graduate, No,8300000,20700000,2,537,8400000,14300000,19700000,7800000, Rejected
+3362,5, Graduate, Yes,2600000,5500000,8,676,6700000,800000,7200000,1300000, Approved
+3363,1, Graduate, No,2100000,8100000,6,817,4600000,2900000,4900000,2900000, Approved
+3364,4, Not Graduate, No,3900000,10800000,20,433,4700000,1600000,14500000,2300000, Rejected
+3365,1, Graduate, Yes,5200000,16300000,6,524,11000000,3400000,20700000,4600000, Rejected
+3366,3, Not Graduate, Yes,7800000,24400000,20,490,6700000,5100000,17700000,4100000, Rejected
+3367,3, Not Graduate, Yes,5400000,14300000,4,595,4100000,2800000,19300000,4900000, Approved
+3368,2, Not Graduate, No,2900000,11000000,2,835,4900000,3200000,11500000,1400000, Approved
+3369,4, Graduate, No,7100000,28300000,6,850,5600000,7100000,26000000,9700000, Approved
+3370,1, Graduate, Yes,800000,2500000,4,409,1300000,1000000,3100000,900000, Approved
+3371,5, Graduate, Yes,3400000,12800000,10,760,9800000,4300000,11000000,4600000, Approved
+3372,1, Graduate, Yes,6800000,17600000,14,344,5500000,5600000,18100000,7700000, Rejected
+3373,4, Graduate, Yes,7000000,27100000,12,881,8300000,9400000,17200000,9500000, Approved
+3374,0, Graduate, Yes,9300000,24500000,10,600,20200000,700000,32600000,5400000, Approved
+3375,2, Graduate, No,7500000,19900000,10,790,3500000,13000000,19900000,5900000, Approved
+3376,3, Graduate, Yes,8000000,31200000,20,392,7300000,8400000,16000000,6000000, Rejected
+3377,5, Graduate, Yes,1600000,4100000,2,748,1400000,1000000,4200000,1000000, Approved
+3378,1, Graduate, Yes,6700000,18800000,6,798,8700000,5900000,18000000,6100000, Approved
+3379,3, Not Graduate, No,3800000,11400000,4,323,5800000,4000000,9600000,4400000, Approved
+3380,1, Not Graduate, Yes,2700000,5400000,6,413,4800000,1500000,6100000,2600000, Rejected
+3381,3, Graduate, No,1300000,2900000,8,733,3800000,1900000,3800000,1800000, Approved
+3382,4, Not Graduate, No,3400000,10500000,16,543,3100000,4500000,11100000,4500000, Rejected
+3383,3, Graduate, No,3400000,10900000,14,757,5400000,1600000,7700000,3000000, Approved
+3384,5, Graduate, Yes,2400000,6800000,8,464,1900000,1300000,9500000,1900000, Rejected
+3385,0, Not Graduate, No,1900000,6900000,4,749,2100000,3700000,4300000,2200000, Approved
+3386,4, Graduate, No,700000,2200000,6,680,300000,200000,2500000,300000, Approved
+3387,1, Not Graduate, No,6900000,20900000,4,574,3200000,1800000,25000000,5200000, Approved
+3388,5, Graduate, Yes,300000,800000,18,774,400000,200000,900000,400000, Approved
+3389,3, Not Graduate, No,6000000,18700000,10,387,6600000,6200000,23300000,6700000, Rejected
+3390,1, Not Graduate, No,4300000,16400000,20,397,6700000,6200000,10200000,5700000, Rejected
+3391,4, Graduate, No,5800000,13500000,14,816,13800000,9300000,20400000,7900000, Approved
+3392,2, Graduate, Yes,3300000,6700000,8,845,1300000,4600000,12300000,3200000, Approved
+3393,2, Not Graduate, No,400000,1500000,4,743,700000,500000,1200000,300000, Approved
+3394,5, Not Graduate, No,300000,600000,4,418,500000,200000,700000,200000, Rejected
+3395,1, Not Graduate, No,4200000,10700000,6,466,7400000,7000000,14000000,4700000, Rejected
+3396,2, Not Graduate, Yes,600000,2300000,12,335,400000,900000,1200000,400000, Rejected
+3397,5, Not Graduate, Yes,4400000,15200000,6,446,9500000,2200000,16700000,5800000, Rejected
+3398,0, Graduate, Yes,9200000,29400000,2,868,9200000,13800000,32000000,5300000, Approved
+3399,2, Graduate, Yes,6900000,25300000,4,763,9000000,3600000,21300000,5500000, Approved
+3400,5, Not Graduate, Yes,5100000,13700000,14,527,12100000,8900000,19400000,4700000, Rejected
+3401,4, Graduate, No,3400000,12700000,2,741,3300000,6100000,7700000,3700000, Approved
+3402,4, Not Graduate, Yes,8600000,26800000,12,802,7400000,2800000,32100000,11700000, Approved
+3403,3, Not Graduate, Yes,9200000,28900000,8,538,13900000,8300000,32400000,4900000, Rejected
+3404,5, Graduate, Yes,4800000,16300000,4,523,8800000,2300000,10000000,2800000, Approved
+3405,4, Not Graduate, No,2800000,8300000,14,381,3200000,1100000,9100000,1500000, Rejected
+3406,1, Graduate, Yes,3400000,7000000,4,534,3100000,1600000,13000000,4000000, Rejected
+3407,5, Not Graduate, Yes,800000,2200000,14,574,2200000,1200000,1700000,1100000, Approved
+3408,1, Not Graduate, No,4100000,11100000,6,405,12000000,2900000,9000000,5900000, Rejected
+3409,0, Not Graduate, No,1900000,3800000,16,542,800000,500000,4000000,2100000, Rejected
+3410,5, Graduate, Yes,6700000,25400000,14,820,10300000,8100000,18500000,3900000, Approved
+3411,0, Graduate, No,5200000,13400000,2,505,12000000,7900000,20400000,6200000, Rejected
+3412,3, Graduate, Yes,6700000,16400000,2,508,4400000,10900000,25300000,9200000, Rejected
+3413,1, Not Graduate, Yes,4700000,15000000,20,835,2100000,2500000,10100000,3800000, Approved
+3414,0, Not Graduate, No,6000000,22000000,12,826,1400000,2000000,14100000,7000000, Approved
+3415,5, Not Graduate, Yes,6500000,18900000,12,427,5100000,1900000,18200000,7800000, Rejected
+3416,3, Graduate, No,500000,2000000,12,890,800000,700000,1800000,400000, Approved
+3417,4, Not Graduate, No,5700000,13300000,2,333,9400000,3000000,11800000,8200000, Rejected
+3418,4, Not Graduate, Yes,6800000,20000000,12,679,20200000,10900000,26900000,6600000, Approved
+3419,5, Not Graduate, No,3100000,12300000,18,805,4900000,1900000,6100000,2800000, Approved
+3420,3, Not Graduate, No,5100000,11000000,16,826,11800000,2900000,12900000,2700000, Approved
+3421,1, Not Graduate, Yes,6300000,23900000,10,844,16300000,4900000,16800000,4500000, Approved
+3422,5, Graduate, Yes,4400000,14100000,10,663,5300000,4900000,17500000,2600000, Approved
+3423,1, Not Graduate, No,8100000,21900000,6,884,15100000,5400000,27500000,6600000, Approved
+3424,1, Not Graduate, No,1100000,3700000,2,508,200000,0,2200000,1300000, Approved
+3425,0, Graduate, Yes,2400000,6900000,4,581,5100000,4500000,6000000,3400000, Approved
+3426,3, Graduate, Yes,7000000,26300000,12,481,14300000,12800000,15100000,9900000, Rejected
+3427,1, Graduate, Yes,8700000,30000000,12,543,21900000,12700000,30600000,12700000, Rejected
+3428,0, Not Graduate, Yes,3500000,12600000,10,448,1200000,2500000,10400000,3600000, Rejected
+3429,1, Graduate, Yes,1600000,5300000,4,713,1400000,1400000,4900000,1300000, Approved
+3430,5, Not Graduate, Yes,7800000,17300000,16,493,800000,4500000,16300000,9300000, Rejected
+3431,2, Not Graduate, No,3700000,9200000,10,819,8500000,2000000,10200000,3100000, Approved
+3432,4, Graduate, No,400000,1400000,18,827,-100000,0,900000,600000, Approved
+3433,0, Not Graduate, No,4800000,15700000,10,398,4900000,7400000,17100000,6400000, Rejected
+3434,0, Graduate, Yes,2900000,7500000,18,692,3200000,300000,7500000,4000000, Approved
+3435,5, Graduate, Yes,5000000,14600000,18,509,11800000,2500000,19800000,4900000, Rejected
+3436,0, Graduate, Yes,7600000,18100000,16,439,12800000,5900000,29800000,10600000, Rejected
+3437,1, Graduate, No,3000000,9400000,4,622,600000,3500000,9600000,2000000, Approved
+3438,3, Not Graduate, Yes,200000,700000,18,526,400000,100000,500000,0, Rejected
+3439,5, Not Graduate, Yes,6800000,19000000,8,865,9500000,7200000,25000000,6300000, Approved
+3440,5, Not Graduate, Yes,9700000,27400000,2,328,0,18400000,22000000,7900000, Rejected
+3441,0, Graduate, Yes,1200000,4200000,4,768,2800000,2200000,2800000,1500000, Approved
+3442,5, Not Graduate, Yes,7400000,24000000,16,854,4300000,6700000,20600000,8700000, Approved
+3443,4, Graduate, No,6900000,20800000,4,839,2600000,2400000,16100000,7400000, Approved
+3444,0, Not Graduate, Yes,9100000,23300000,18,414,17700000,2500000,33800000,6400000, Rejected
+3445,0, Graduate, Yes,1300000,4700000,16,530,3200000,1000000,3800000,800000, Rejected
+3446,3, Graduate, No,6600000,14600000,10,841,15300000,12100000,14800000,6000000, Approved
+3447,3, Not Graduate, Yes,1800000,5700000,14,670,5300000,3100000,3500000,2700000, Approved
+3448,5, Not Graduate, Yes,8200000,20900000,14,726,11400000,4800000,26000000,8400000, Approved
+3449,4, Not Graduate, No,2800000,8300000,14,352,4900000,2600000,7100000,3700000, Rejected
+3450,1, Graduate, Yes,7000000,16000000,4,554,13000000,8600000,26600000,7900000, Approved
+3451,4, Graduate, No,700000,1800000,18,728,400000,1300000,2200000,600000, Approved
+3452,0, Not Graduate, No,7400000,25500000,6,463,2300000,5600000,26800000,8400000, Rejected
+3453,5, Not Graduate, Yes,2300000,5000000,10,431,300000,3700000,8700000,2900000, Rejected
+3454,1, Graduate, Yes,600000,1900000,8,445,1200000,100000,1600000,300000, Rejected
+3455,5, Graduate, No,1000000,3000000,4,896,2800000,1100000,2000000,1100000, Approved
+3456,1, Not Graduate, Yes,2200000,5200000,8,420,2900000,100000,5000000,2300000, Rejected
+3457,1, Not Graduate, No,8000000,30900000,2,315,23500000,1200000,19500000,7300000, Approved
+3458,4, Not Graduate, No,8600000,20900000,10,867,24300000,7200000,23700000,9900000, Approved
+3459,3, Not Graduate, Yes,7500000,26000000,2,342,13900000,1900000,26900000,11200000, Approved
+3460,5, Not Graduate, Yes,5200000,11800000,18,711,14300000,5100000,15500000,4500000, Approved
+3461,2, Not Graduate, No,7900000,20900000,2,723,1700000,1800000,16300000,7100000, Approved
+3462,1, Graduate, Yes,4200000,11300000,4,704,4700000,2800000,14900000,4000000, Approved
+3463,0, Graduate, No,6500000,20200000,16,842,8300000,12200000,14300000,9600000, Approved
+3464,0, Graduate, Yes,7400000,15200000,12,600,6200000,8500000,18800000,4100000, Approved
+3465,3, Not Graduate, No,9100000,25600000,12,688,8900000,16300000,27900000,11100000, Approved
+3466,0, Not Graduate, No,800000,2300000,16,739,1800000,600000,2000000,400000, Approved
+3467,1, Graduate, Yes,800000,2800000,10,798,1300000,1300000,2500000,400000, Approved
+3468,5, Graduate, Yes,4100000,9900000,4,319,7600000,7400000,12000000,5500000, Rejected
+3469,5, Graduate, Yes,4200000,8700000,6,583,6000000,800000,8500000,2500000, Approved
+3470,3, Graduate, Yes,4800000,11500000,12,535,3600000,8000000,15600000,5400000, Rejected
+3471,3, Not Graduate, Yes,8300000,25900000,8,696,14400000,12200000,23500000,7100000, Approved
+3472,4, Not Graduate, No,7600000,23900000,8,672,2500000,1600000,20200000,6700000, Approved
+3473,4, Graduate, No,5100000,12300000,20,410,9200000,9200000,18700000,5600000, Rejected
+3474,5, Graduate, No,3600000,11600000,14,546,8500000,300000,12000000,4800000, Rejected
+3475,3, Not Graduate, Yes,5400000,16800000,16,550,10700000,6400000,13400000,7000000, Approved
+3476,5, Not Graduate, No,700000,1400000,4,344,1500000,800000,2600000,300000, Rejected
+3477,2, Not Graduate, Yes,9800000,38200000,10,743,5400000,14800000,24300000,5300000, Approved
+3478,4, Graduate, No,9700000,36400000,4,772,13800000,11300000,38100000,13500000, Approved
+3479,0, Graduate, Yes,9400000,29900000,12,302,12300000,1500000,35700000,8200000, Rejected
+3480,3, Graduate, Yes,3200000,9100000,18,376,4500000,800000,9000000,1700000, Rejected
+3481,0, Graduate, Yes,3700000,11600000,10,747,0,4500000,9000000,3500000, Approved
+3482,2, Graduate, Yes,4200000,15800000,6,710,12300000,3700000,12600000,4600000, Approved
+3483,2, Not Graduate, No,7000000,24200000,6,892,20600000,500000,21400000,9200000, Approved
+3484,3, Not Graduate, No,3200000,11500000,16,492,4800000,2300000,10400000,3200000, Rejected
+3485,5, Graduate, No,7900000,17700000,2,559,19700000,2800000,28900000,5400000, Approved
+3486,3, Not Graduate, No,2200000,8300000,18,314,1100000,900000,5800000,2000000, Rejected
+3487,0, Graduate, Yes,2700000,8400000,6,744,1200000,4100000,7500000,2000000, Approved
+3488,5, Not Graduate, No,6800000,18000000,12,690,17800000,11800000,25000000,9300000, Approved
+3489,3, Graduate, Yes,6300000,23300000,4,347,18300000,12200000,21100000,8100000, Approved
+3490,5, Graduate, Yes,9000000,31400000,2,677,12000000,10800000,20700000,8700000, Approved
+3491,1, Graduate, No,4700000,15700000,4,468,13300000,5100000,16200000,3600000, Approved
+3492,2, Not Graduate, No,8100000,17500000,4,674,10800000,12700000,23200000,9300000, Approved
+3493,2, Not Graduate, No,9000000,27300000,14,353,22600000,4400000,26900000,7200000, Rejected
+3494,4, Not Graduate, No,3800000,14100000,8,727,3900000,4900000,8200000,5400000, Approved
+3495,4, Not Graduate, Yes,8800000,22200000,10,512,6800000,4000000,31900000,9900000, Rejected
+3496,3, Not Graduate, Yes,8700000,27200000,18,454,9100000,9300000,30900000,12000000, Rejected
+3497,5, Not Graduate, No,5000000,12400000,14,315,7400000,8600000,17000000,4000000, Rejected
+3498,0, Not Graduate, Yes,6000000,22700000,10,480,200000,11900000,13700000,8700000, Rejected
+3499,2, Graduate, Yes,9100000,24200000,16,685,25600000,1900000,31100000,9100000, Approved
+3500,1, Graduate, No,7400000,17900000,6,460,2600000,1300000,25900000,5000000, Rejected
+3501,1, Not Graduate, Yes,8300000,28400000,16,704,1400000,11700000,16900000,11400000, Approved
+3502,1, Graduate, Yes,7600000,23900000,12,692,500000,12200000,27000000,5000000, Approved
+3503,1, Not Graduate, Yes,3500000,9600000,4,398,1700000,6000000,7900000,4600000, Rejected
+3504,5, Graduate, Yes,1000000,3500000,18,882,900000,500000,2900000,600000, Approved
+3505,5, Graduate, Yes,9900000,25900000,4,860,7800000,200000,38000000,5400000, Approved
+3506,2, Graduate, Yes,5700000,15100000,18,330,5900000,3800000,16600000,6200000, Rejected
+3507,5, Graduate, No,700000,2400000,16,447,1300000,700000,2600000,800000, Rejected
+3508,0, Not Graduate, Yes,9600000,23800000,12,788,9900000,14400000,21200000,10400000, Approved
+3509,1, Not Graduate, No,9300000,28900000,6,526,11100000,1600000,19700000,11000000, Rejected
+3510,0, Graduate, No,9500000,28400000,18,577,6200000,10300000,30200000,14100000, Approved
+3511,4, Graduate, Yes,8700000,23400000,16,372,10600000,11700000,20000000,8000000, Rejected
+3512,5, Graduate, Yes,7300000,21000000,14,759,15500000,8000000,20300000,10800000, Approved
+3513,3, Graduate, Yes,4100000,12700000,10,465,6400000,1900000,14100000,3200000, Rejected
+3514,2, Graduate, No,2900000,10200000,4,789,1200000,4100000,6100000,3600000, Approved
+3515,3, Graduate, Yes,7500000,17900000,2,680,7000000,11800000,25000000,6300000, Approved
+3516,1, Graduate, No,7900000,25700000,20,681,14900000,3000000,18100000,8800000, Approved
+3517,1, Graduate, Yes,6900000,22300000,16,673,17400000,100000,21300000,9000000, Approved
+3518,0, Not Graduate, No,6900000,22900000,10,313,5600000,9300000,26200000,8000000, Rejected
+3519,0, Not Graduate, No,4800000,18800000,16,551,7900000,9400000,17300000,5500000, Approved
+3520,5, Graduate, Yes,7700000,24400000,8,453,1400000,7700000,22000000,10000000, Rejected
+3521,3, Not Graduate, No,6900000,22700000,4,650,900000,13400000,15500000,6400000, Approved
+3522,1, Not Graduate, No,1200000,4500000,4,439,3200000,1800000,2900000,1200000, Approved
+3523,1, Graduate, No,2900000,9600000,4,658,8200000,4300000,7000000,2700000, Approved
+3524,4, Graduate, Yes,5500000,18900000,6,379,13900000,9100000,18500000,3100000, Rejected
+3525,4, Graduate, Yes,3200000,10700000,4,450,7300000,3000000,8200000,1800000, Approved
+3526,5, Not Graduate, No,2600000,8200000,4,849,7400000,2000000,8900000,2700000, Approved
+3527,0, Graduate, No,500000,1600000,18,865,1400000,400000,1000000,200000, Approved
+3528,0, Graduate, No,1800000,6900000,10,853,900000,400000,3700000,1700000, Rejected
+3529,0, Not Graduate, No,1300000,4900000,12,555,2400000,1200000,4100000,1700000, Approved
+3530,1, Not Graduate, No,9900000,20700000,20,821,12700000,8200000,38100000,11100000, Approved
+3531,0, Not Graduate, No,2000000,4700000,2,820,4700000,500000,7900000,1200000, Approved
+3532,1, Not Graduate, No,5100000,15300000,4,721,7000000,6100000,15300000,5900000, Approved
+3533,4, Graduate, Yes,8200000,24000000,20,831,23000000,3000000,24800000,5400000, Approved
+3534,5, Not Graduate, No,4200000,12600000,18,571,8900000,3200000,11700000,6200000, Approved
+3535,2, Not Graduate, Yes,1300000,4900000,8,582,2100000,1800000,3400000,1700000, Approved
+3536,1, Not Graduate, Yes,4600000,13600000,18,487,11200000,8500000,15500000,5400000, Rejected
+3537,1, Not Graduate, No,6600000,19700000,12,758,16000000,4400000,18800000,9500000, Approved
+3538,2, Graduate, Yes,8300000,30100000,16,636,5200000,5100000,33100000,7200000, Approved
+3539,0, Graduate, No,6900000,20700000,16,857,17100000,13700000,14600000,8800000, Approved
+3540,4, Graduate, Yes,4700000,12500000,8,678,13700000,200000,9800000,7000000, Approved
+3541,1, Graduate, No,7900000,15800000,8,551,800000,3500000,18700000,8300000, Approved
+3542,3, Not Graduate, No,8800000,24900000,16,668,16700000,17200000,30000000,10500000, Approved
+3543,1, Graduate, No,6500000,23400000,2,672,5000000,10400000,16700000,7600000, Approved
+3544,3, Not Graduate, No,3500000,13700000,4,439,5200000,2800000,13000000,4400000, Approved
+3545,2, Not Graduate, Yes,8200000,19600000,16,636,11500000,2300000,28800000,10700000, Approved
+3546,0, Not Graduate, Yes,2000000,6000000,14,393,1500000,1400000,5900000,2900000, Rejected
+3547,5, Not Graduate, No,2700000,8200000,2,848,7000000,1000000,6200000,1500000, Approved
+3548,0, Graduate, Yes,5300000,17600000,4,790,2000000,10200000,19700000,7700000, Approved
+3549,2, Not Graduate, No,9900000,19900000,6,312,21400000,2200000,31400000,11000000, Rejected
+3550,2, Not Graduate, Yes,5000000,19500000,14,775,3100000,4700000,9900000,6500000, Approved
+3551,2, Not Graduate, No,9100000,18600000,20,403,18400000,11700000,20300000,9200000, Rejected
+3552,3, Not Graduate, Yes,7600000,26400000,14,867,9200000,700000,27900000,7400000, Approved
+3553,0, Graduate, No,5200000,17800000,18,558,8300000,5400000,13000000,3100000, Approved
+3554,5, Graduate, No,1800000,6000000,4,548,1400000,2400000,6500000,2600000, Approved
+3555,0, Not Graduate, No,7300000,28200000,16,486,15300000,8800000,16400000,7700000, Rejected
+3556,4, Graduate, No,3200000,11600000,6,635,3300000,4600000,6500000,3900000, Approved
+3557,5, Graduate, No,5200000,20700000,2,538,3200000,2000000,14600000,3600000, Approved
+3558,4, Not Graduate, No,7100000,28200000,14,496,6300000,10900000,27700000,4600000, Rejected
+3559,4, Graduate, Yes,1400000,4800000,6,411,1400000,300000,4400000,1600000, Rejected
+3560,4, Not Graduate, No,2700000,10700000,6,857,7400000,4200000,8200000,2800000, Approved
+3561,5, Graduate, Yes,6500000,18100000,10,360,15700000,10600000,20200000,6100000, Rejected
+3562,4, Graduate, No,9300000,35900000,18,461,9800000,12700000,26200000,11400000, Rejected
+3563,0, Graduate, Yes,6700000,14900000,16,638,3300000,6900000,22300000,8100000, Approved
+3564,5, Graduate, No,6800000,19300000,6,865,12100000,100000,22900000,9000000, Approved
+3565,5, Not Graduate, No,5600000,13600000,4,449,5900000,5700000,18800000,4300000, Rejected
+3566,1, Not Graduate, Yes,1900000,4700000,2,870,4700000,2300000,3900000,2300000, Approved
+3567,5, Not Graduate, No,8400000,19500000,6,815,5300000,2500000,24000000,7200000, Approved
+3568,2, Not Graduate, Yes,2500000,7200000,16,454,4200000,1000000,7100000,2100000, Rejected
+3569,1, Not Graduate, Yes,2900000,9900000,18,783,1300000,100000,11000000,2600000, Approved
+3570,3, Graduate, Yes,3200000,7400000,2,543,3600000,4500000,11200000,4600000, Rejected
+3571,4, Not Graduate, Yes,3000000,10900000,2,786,7600000,3300000,8000000,3200000, Approved
+3572,3, Graduate, Yes,800000,2500000,20,395,1500000,300000,1600000,500000, Rejected
+3573,2, Not Graduate, Yes,400000,1300000,2,885,200000,300000,1100000,500000, Approved
+3574,2, Not Graduate, No,4400000,10600000,20,488,10800000,2400000,13200000,4600000, Rejected
+3575,2, Not Graduate, Yes,8700000,19900000,10,829,7500000,10500000,20200000,8400000, Approved
+3576,4, Not Graduate, No,7400000,15400000,6,677,22000000,13500000,28900000,7400000, Approved
+3577,4, Not Graduate, Yes,5700000,14400000,12,645,14500000,8600000,12900000,4700000, Approved
+3578,5, Not Graduate, Yes,9700000,27600000,10,788,9400000,3100000,31800000,10600000, Approved
+3579,2, Not Graduate, No,7000000,22400000,6,649,12200000,9900000,17800000,8900000, Approved
+3580,2, Not Graduate, No,8900000,23100000,4,519,22800000,500000,25200000,4700000, Rejected
+3581,3, Graduate, Yes,3100000,11200000,14,772,3400000,5800000,8300000,2100000, Approved
+3582,4, Graduate, No,2200000,6100000,12,330,5500000,2900000,5000000,2200000, Rejected
+3583,5, Not Graduate, Yes,7100000,21500000,4,557,8900000,8000000,26400000,4000000, Approved
+3584,4, Graduate, Yes,8200000,19000000,6,334,24500000,6800000,28600000,10200000, Rejected
+3585,3, Graduate, Yes,9800000,28400000,12,487,8900000,15400000,30800000,11100000, Rejected
+3586,2, Graduate, Yes,3900000,9700000,8,539,4400000,7600000,7900000,5100000, Rejected
+3587,2, Graduate, Yes,2200000,8100000,8,710,500000,2900000,7300000,1000000, Approved
+3588,5, Not Graduate, Yes,600000,1700000,20,879,1100000,100000,2300000,700000, Approved
+3589,4, Not Graduate, Yes,6900000,22000000,10,512,6100000,9100000,20600000,3900000, Rejected
+3590,2, Graduate, Yes,7400000,27300000,18,561,12600000,400000,27100000,9600000, Approved
+3591,3, Not Graduate, Yes,4000000,11600000,6,539,5900000,2600000,12100000,4700000, Rejected
+3592,3, Not Graduate, Yes,700000,2000000,18,544,800000,1300000,1500000,400000, Rejected
+3593,2, Not Graduate, Yes,1900000,4600000,16,631,3200000,2700000,4500000,2700000, Approved
+3594,2, Graduate, No,2200000,6800000,20,546,4600000,200000,4500000,2200000, Rejected
+3595,1, Graduate, Yes,2000000,5600000,14,569,5000000,1100000,7900000,1600000, Approved
+3596,4, Not Graduate, No,7400000,17900000,6,384,13400000,12300000,22400000,4700000, Rejected
+3597,2, Not Graduate, Yes,2300000,9000000,6,583,3600000,1300000,6900000,3400000, Approved
+3598,5, Not Graduate, Yes,4000000,15500000,12,517,0,600000,12100000,3500000, Rejected
+3599,3, Graduate, Yes,1500000,5800000,18,420,800000,1900000,4100000,1400000, Rejected
+3600,2, Not Graduate, Yes,5200000,12900000,18,644,400000,5000000,12000000,7500000, Approved
+3601,2, Graduate, No,5400000,14500000,8,349,10800000,4800000,21100000,6600000, Rejected
+3602,3, Graduate, No,7700000,25300000,18,662,3400000,11400000,19100000,9900000, Approved
+3603,0, Not Graduate, Yes,1900000,6400000,20,704,900000,3400000,5300000,1900000, Approved
+3604,4, Not Graduate, Yes,6400000,15500000,2,324,18400000,11100000,13900000,4500000, Rejected
+3605,5, Graduate, No,700000,1700000,18,757,1900000,200000,2100000,600000, Approved
+3606,3, Graduate, Yes,5800000,23000000,16,361,6000000,10100000,23000000,2800000, Rejected
+3607,1, Graduate, No,1800000,5400000,4,415,4400000,2000000,5600000,1800000, Approved
+3608,5, Graduate, Yes,4300000,13800000,18,618,9600000,800000,14000000,2400000, Approved
+3609,4, Graduate, No,8000000,27100000,8,524,16900000,10900000,25600000,8400000, Rejected
+3610,0, Not Graduate, No,1100000,4100000,18,887,400000,1300000,2600000,1300000, Approved
+3611,2, Not Graduate, Yes,8800000,31100000,12,729,12300000,2400000,21900000,9400000, Approved
+3612,4, Graduate, No,4800000,18600000,14,774,10800000,5800000,12700000,6500000, Approved
+3613,0, Not Graduate, Yes,200000,700000,20,724,600000,0,500000,300000, Approved
+3614,5, Graduate, Yes,1400000,2700000,16,320,900000,2500000,2700000,2000000, Rejected
+3615,5, Graduate, No,2500000,6400000,16,590,3200000,3900000,5800000,3500000, Approved
+3616,5, Graduate, No,8100000,25300000,8,796,15900000,12600000,21500000,7800000, Approved
+3617,0, Graduate, Yes,6100000,19200000,6,890,13900000,5900000,16700000,7600000, Approved
+3618,0, Not Graduate, Yes,2000000,4600000,16,651,2100000,2400000,7200000,1600000, Approved
+3619,4, Not Graduate, No,4800000,10100000,12,634,9200000,300000,15000000,6900000, Approved
+3620,4, Graduate, Yes,900000,2800000,2,660,1200000,1400000,2400000,900000, Approved
+3621,4, Not Graduate, No,1300000,3500000,12,512,3300000,1400000,3200000,700000, Rejected
+3622,4, Not Graduate, Yes,4200000,9100000,2,900,6700000,5300000,10900000,5900000, Approved
+3623,2, Graduate, Yes,3300000,11100000,20,823,4600000,1500000,11700000,2900000, Approved
+3624,2, Not Graduate, Yes,8700000,28400000,12,880,8000000,1800000,19400000,4400000, Approved
+3625,1, Not Graduate, Yes,800000,2600000,2,439,600000,0,1800000,400000, Approved
+3626,5, Graduate, Yes,7400000,17100000,2,441,14700000,1600000,20600000,10800000, Rejected
+3627,3, Not Graduate, No,6900000,18500000,6,360,14000000,0,18800000,9600000, Rejected
+3628,1, Graduate, Yes,8800000,33700000,14,561,10200000,7100000,25700000,11900000, Approved
+3629,2, Graduate, Yes,8600000,32500000,4,758,20900000,600000,18000000,6900000, Approved
+3630,2, Graduate, No,5400000,20600000,18,621,11200000,2200000,11600000,5500000, Approved
+3631,4, Graduate, Yes,2900000,5900000,18,621,200000,3100000,8500000,3500000, Approved
+3632,3, Graduate, No,9800000,21000000,12,342,25400000,16600000,26900000,7000000, Rejected
+3633,4, Graduate, No,3300000,10800000,4,552,4200000,900000,8600000,3300000, Approved
+3634,0, Not Graduate, No,300000,500000,18,376,300000,0,800000,300000, Rejected
+3635,0, Graduate, No,1500000,4300000,12,801,4400000,2200000,3300000,1100000, Approved
+3636,3, Not Graduate, Yes,5400000,16300000,4,512,1600000,3400000,13100000,6000000, Approved
+3637,0, Graduate, No,6600000,15200000,18,497,1500000,6900000,14500000,9300000, Rejected
+3638,0, Graduate, No,5700000,17200000,8,386,4200000,7100000,14400000,2900000, Rejected
+3639,3, Not Graduate, Yes,8500000,26100000,2,683,6600000,10400000,24100000,5700000, Approved
+3640,0, Graduate, No,7400000,24100000,16,779,800000,2900000,28900000,4900000, Approved
+3641,3, Not Graduate, Yes,7800000,17700000,6,876,15600000,15200000,25100000,10800000, Approved
+3642,3, Graduate, Yes,7200000,16500000,18,515,7800000,6300000,17300000,10600000, Rejected
+3643,2, Not Graduate, No,7600000,19300000,12,463,5400000,1500000,16000000,9600000, Rejected
+3644,4, Not Graduate, Yes,7000000,26700000,4,486,10600000,12200000,18800000,6000000, Approved
+3645,0, Not Graduate, No,5700000,13000000,6,328,7800000,7500000,20700000,8200000, Rejected
+3646,2, Not Graduate, No,8200000,30600000,10,343,9800000,11500000,16900000,7000000, Rejected
+3647,0, Graduate, Yes,9000000,27800000,8,712,900000,6700000,24400000,5800000, Approved
+3648,3, Not Graduate, No,3900000,11900000,6,607,6600000,6000000,8800000,2000000, Approved
+3649,0, Graduate, No,6500000,16200000,4,812,17200000,10700000,20200000,6200000, Approved
+3650,4, Not Graduate, Yes,2300000,7700000,16,589,6000000,4400000,6300000,2300000, Approved
+3651,1, Not Graduate, No,5700000,21800000,18,657,14100000,3200000,21800000,3200000, Approved
+3652,4, Not Graduate, No,800000,2800000,12,453,1500000,300000,2900000,600000, Rejected
+3653,4, Not Graduate, Yes,8400000,19700000,14,889,22400000,5800000,22000000,12100000, Approved
+3654,1, Graduate, Yes,4300000,17200000,4,564,10400000,6600000,11500000,2200000, Approved
+3655,1, Not Graduate, Yes,300000,900000,20,419,800000,0,600000,300000, Rejected
+3656,1, Graduate, No,8700000,34000000,16,663,5400000,10700000,17800000,8100000, Approved
+3657,1, Not Graduate, No,4400000,12100000,4,884,9800000,6500000,15000000,6000000, Approved
+3658,1, Graduate, Yes,5600000,16800000,16,528,7500000,6500000,12300000,3900000, Rejected
+3659,2, Graduate, No,600000,1300000,12,475,100000,1100000,2300000,600000, Rejected
+3660,4, Not Graduate, Yes,2500000,5100000,20,695,1100000,4100000,6700000,3500000, Approved
+3661,5, Not Graduate, No,3800000,10500000,10,759,1800000,6700000,8100000,5300000, Approved
+3662,2, Not Graduate, No,2500000,9600000,4,636,900000,1000000,7300000,2000000, Approved
+3663,3, Not Graduate, Yes,5500000,20400000,10,546,10600000,8200000,13500000,4000000, Rejected
+3664,5, Graduate, Yes,4500000,17100000,2,639,10600000,7500000,12000000,6500000, Approved
+3665,4, Not Graduate, No,1900000,4000000,10,388,500000,1400000,5600000,900000, Rejected
+3666,5, Graduate, Yes,6400000,20000000,12,594,100000,2100000,16500000,5500000, Approved
+3667,1, Not Graduate, Yes,3800000,11100000,6,760,2100000,1800000,8700000,5700000, Approved
+3668,4, Not Graduate, Yes,6300000,16900000,16,582,16000000,3600000,23700000,6000000, Approved
+3669,3, Not Graduate, No,300000,600000,6,896,300000,400000,600000,400000, Approved
+3670,5, Not Graduate, Yes,7100000,21800000,18,891,7000000,0,18900000,4700000, Approved
+3671,2, Not Graduate, Yes,600000,1700000,2,495,1700000,200000,1200000,500000, Rejected
+3672,3, Graduate, Yes,4400000,15300000,16,865,1200000,8400000,15000000,3400000, Approved
+3673,4, Not Graduate, No,7600000,20800000,12,775,1900000,13600000,19200000,6400000, Approved
+3674,5, Graduate, Yes,8700000,26400000,10,318,11800000,2900000,23200000,9200000, Rejected
+3675,3, Graduate, Yes,5600000,12700000,12,395,8200000,9300000,22000000,6400000, Rejected
+3676,4, Not Graduate, No,4100000,13100000,14,772,11200000,4200000,10500000,3800000, Approved
+3677,2, Not Graduate, Yes,7900000,16100000,18,318,17300000,2900000,29900000,9300000, Rejected
+3678,3, Not Graduate, Yes,5600000,20900000,14,649,4000000,10700000,13000000,8200000, Approved
+3679,3, Not Graduate, No,1200000,3100000,10,438,1500000,2200000,3900000,1000000, Rejected
+3680,5, Graduate, No,6900000,19700000,6,588,9800000,7500000,17100000,7300000, Approved
+3681,5, Not Graduate, No,2700000,5600000,2,815,1100000,2000000,7100000,2600000, Approved
+3682,4, Graduate, Yes,9800000,22100000,4,364,16800000,11100000,26500000,7300000, Rejected
+3683,2, Not Graduate, No,9300000,32300000,4,586,14300000,6400000,37000000,10400000, Approved
+3684,4, Not Graduate, No,6700000,25300000,12,555,16900000,3600000,23500000,4900000, Approved
+3685,4, Graduate, No,1300000,4600000,10,312,1800000,600000,3100000,800000, Rejected
+3686,2, Graduate, Yes,7900000,17100000,16,605,19200000,14100000,21900000,10400000, Approved
+3687,5, Not Graduate, No,6700000,23200000,18,672,1600000,6700000,20800000,5400000, Approved
+3688,2, Not Graduate, Yes,2100000,4500000,18,591,2500000,500000,5500000,1500000, Approved
+3689,4, Graduate, Yes,4700000,11000000,4,321,10100000,100000,9600000,6900000, Rejected
+3690,2, Graduate, No,3700000,13400000,16,393,6400000,600000,14200000,3500000, Rejected
+3691,0, Graduate, Yes,5800000,21800000,2,561,4400000,7200000,15000000,4200000, Approved
+3692,5, Graduate, Yes,2400000,6900000,20,725,1700000,400000,8800000,2400000, Approved
+3693,1, Not Graduate, Yes,8100000,27600000,16,438,1000000,10500000,32200000,8000000, Rejected
+3694,5, Graduate, Yes,5400000,21400000,12,399,4000000,9700000,12400000,6800000, Rejected
+3695,0, Graduate, No,1400000,5400000,8,592,4100000,400000,4300000,800000, Approved
+3696,2, Not Graduate, No,2500000,8600000,8,835,2500000,4000000,7700000,1300000, Approved
+3697,0, Not Graduate, Yes,1600000,5300000,4,733,400000,2100000,5500000,1100000, Approved
+3698,0, Not Graduate, No,3700000,10600000,20,484,5800000,1300000,13900000,3500000, Rejected
+3699,5, Not Graduate, Yes,500000,1800000,20,615,500000,700000,1100000,300000, Approved
+3700,3, Not Graduate, Yes,5300000,19500000,4,591,13200000,4700000,19800000,7900000, Approved
+3701,0, Graduate, Yes,2800000,6800000,12,349,4100000,2000000,11100000,1400000, Rejected
+3702,1, Graduate, Yes,9600000,29900000,18,478,18500000,15200000,38200000,9400000, Rejected
+3703,4, Graduate, No,2200000,7800000,20,633,0,3900000,8400000,1900000, Approved
+3704,1, Not Graduate, Yes,8400000,30900000,8,378,18600000,1000000,25900000,11100000, Rejected
+3705,1, Not Graduate, No,2100000,5300000,20,461,1500000,3800000,8100000,1700000, Rejected
+3706,2, Not Graduate, Yes,2800000,7000000,2,834,500000,2900000,8100000,1300000, Approved
+3707,0, Not Graduate, No,2500000,5800000,20,671,7400000,500000,7500000,2000000, Approved
+3708,3, Graduate, Yes,1700000,5800000,10,524,4100000,2900000,6600000,800000, Rejected
+3709,3, Graduate, No,6100000,20700000,4,816,14900000,5400000,24200000,5900000, Approved
+3710,3, Graduate, No,4100000,11700000,10,729,6900000,6200000,15400000,2100000, Approved
+3711,5, Not Graduate, Yes,4500000,12700000,8,307,11000000,3800000,12600000,2700000, Rejected
+3712,2, Graduate, Yes,5600000,19100000,8,350,2700000,1200000,14200000,4200000, Rejected
+3713,3, Not Graduate, Yes,5800000,16600000,10,444,13300000,5900000,15000000,8500000, Rejected
+3714,4, Not Graduate, No,8600000,26700000,10,895,2200000,8800000,22600000,6900000, Approved
+3715,2, Graduate, No,2900000,10500000,20,708,4200000,600000,7700000,4300000, Approved
+3716,2, Not Graduate, Yes,8300000,17600000,2,355,1000000,700000,28400000,6800000, Rejected
+3717,5, Not Graduate, No,2400000,5100000,6,756,1500000,200000,5300000,3400000, Approved
+3718,4, Graduate, No,5600000,12000000,4,719,5600000,2900000,14500000,3400000, Approved
+3719,1, Graduate, Yes,9500000,35400000,14,439,400000,1200000,20200000,13500000, Rejected
+3720,4, Not Graduate, Yes,4900000,15900000,10,668,10800000,8300000,14900000,2800000, Approved
+3721,4, Not Graduate, Yes,5900000,16500000,2,765,13000000,9400000,20000000,3500000, Approved
+3722,5, Graduate, Yes,500000,1500000,4,476,200000,200000,1100000,700000, Approved
+3723,3, Graduate, No,7000000,21700000,14,781,5400000,8500000,19300000,9600000, Approved
+3724,1, Not Graduate, No,3500000,12700000,4,350,5200000,6800000,12900000,1800000, Approved
+3725,0, Graduate, No,5200000,12200000,16,783,5000000,2000000,11400000,5100000, Approved
+3726,3, Graduate, Yes,6300000,19900000,12,770,1900000,2400000,15500000,3100000, Approved
+3727,2, Not Graduate, No,8400000,28300000,10,822,1800000,16000000,33000000,4400000, Approved
+3728,1, Not Graduate, Yes,7500000,22500000,14,469,12300000,9600000,16200000,4500000, Rejected
+3729,2, Graduate, No,3300000,13000000,16,300,5500000,5900000,7400000,3100000, Rejected
+3730,2, Not Graduate, No,8800000,22400000,14,692,21700000,5100000,18600000,10900000, Approved
+3731,5, Graduate, No,200000,700000,18,707,-100000,100000,500000,200000, Approved
+3732,5, Not Graduate, Yes,8000000,29100000,4,658,10600000,8600000,28800000,4600000, Approved
+3733,3, Graduate, No,1000000,4000000,6,625,700000,100000,2800000,500000, Approved
+3734,1, Graduate, No,9400000,26700000,10,343,7600000,2500000,28600000,13200000, Rejected
+3735,5, Graduate, No,2100000,7300000,18,358,3700000,3200000,7200000,2200000, Rejected
+3736,4, Graduate, Yes,5400000,11500000,20,705,14600000,3800000,13500000,6100000, Approved
+3737,2, Graduate, Yes,4700000,15100000,8,799,9700000,2500000,10700000,4700000, Approved
+3738,3, Graduate, No,8800000,33700000,12,397,17300000,16000000,22200000,8800000, Rejected
+3739,5, Graduate, No,3200000,12200000,6,493,7700000,6200000,6700000,2100000, Rejected
+3740,0, Graduate, Yes,7200000,21900000,4,446,17700000,10900000,24500000,7600000, Approved
+3741,2, Not Graduate, Yes,2500000,7200000,16,315,5500000,3300000,4900000,2800000, Rejected
+3742,5, Not Graduate, Yes,6900000,15700000,14,887,13800000,5300000,25200000,4500000, Approved
+3743,5, Graduate, Yes,5700000,20500000,16,429,2800000,1900000,22400000,3900000, Rejected
+3744,4, Graduate, Yes,5500000,15100000,18,673,10500000,8000000,13900000,7200000, Approved
+3745,4, Not Graduate, Yes,9200000,29100000,10,731,14500000,8300000,35800000,5000000, Approved
+3746,5, Graduate, Yes,5700000,11500000,2,732,15800000,3700000,15600000,5300000, Approved
+3747,5, Graduate, Yes,5000000,16400000,14,525,13000000,9100000,15300000,3300000, Rejected
+3748,4, Not Graduate, No,2300000,5500000,6,343,-100000,4100000,4800000,3200000, Rejected
+3749,0, Not Graduate, Yes,3000000,11000000,16,331,8000000,4500000,6600000,2400000, Rejected
+3750,0, Not Graduate, No,7900000,26200000,18,845,14200000,14700000,27400000,6300000, Approved
+3751,2, Graduate, No,2000000,6200000,16,696,4100000,600000,5400000,1300000, Approved
+3752,5, Not Graduate, No,2700000,8700000,14,772,2200000,2800000,7600000,3700000, Approved
+3753,3, Graduate, Yes,6400000,15800000,18,628,6900000,2700000,24800000,5300000, Approved
+3754,0, Not Graduate, Yes,8200000,19100000,2,764,22900000,8900000,20500000,4000000, Approved
+3755,1, Graduate, No,2800000,6900000,14,553,400000,4900000,6800000,4200000, Approved
+3756,1, Not Graduate, No,8900000,20000000,2,653,12700000,600000,17800000,9900000, Approved
+3757,1, Not Graduate, No,5100000,20000000,4,506,7900000,8900000,20300000,6700000, Approved
+3758,3, Graduate, No,2800000,8500000,20,431,6200000,1700000,7800000,2200000, Rejected
+3759,2, Not Graduate, Yes,6100000,12300000,18,697,14100000,9100000,12600000,3500000, Approved
+3760,2, Not Graduate, No,8400000,24500000,6,588,11000000,1300000,22900000,10400000, Approved
+3761,1, Not Graduate, No,1600000,5600000,6,846,600000,2800000,4600000,1200000, Approved
+3762,5, Graduate, No,4100000,11000000,14,379,6200000,1700000,8500000,5400000, Rejected
+3763,1, Not Graduate, No,300000,700000,10,745,0,0,900000,100000, Approved
+3764,3, Graduate, No,9600000,34500000,20,523,26100000,2600000,24300000,5300000, Rejected
+3765,4, Graduate, Yes,8300000,25400000,4,624,22900000,4000000,24800000,5400000, Approved
+3766,1, Graduate, No,4600000,16700000,16,407,13000000,6000000,9800000,2800000, Rejected
+3767,3, Not Graduate, Yes,5600000,11600000,12,756,3300000,1800000,18400000,7800000, Approved
+3768,3, Graduate, Yes,4100000,8300000,16,351,6000000,100000,11100000,2200000, Rejected
+3769,3, Not Graduate, No,3700000,13400000,18,373,2800000,100000,13200000,2500000, Rejected
+3770,4, Not Graduate, Yes,800000,2400000,2,461,1300000,1300000,2300000,300000, Approved
+3771,4, Graduate, No,8100000,28100000,12,672,5600000,9200000,17200000,9500000, Approved
+3772,2, Graduate, Yes,2700000,9500000,10,434,2700000,1500000,8100000,1800000, Rejected
+3773,2, Not Graduate, Yes,7000000,21400000,12,541,3700000,1300000,19800000,9600000, Rejected
+3774,3, Not Graduate, Yes,8100000,29300000,2,413,8100000,15100000,25500000,6400000, Approved
+3775,1, Graduate, No,3200000,7600000,4,592,3000000,1400000,8100000,4700000, Approved
+3776,4, Not Graduate, Yes,400000,1400000,10,665,300000,300000,1500000,200000, Approved
+3777,1, Graduate, No,7800000,23900000,4,313,2600000,15300000,23000000,10900000, Approved
+3778,0, Not Graduate, No,5800000,19600000,14,673,8900000,10700000,18000000,7200000, Approved
+3779,0, Not Graduate, Yes,2600000,6000000,8,382,1700000,2200000,8200000,1600000, Rejected
+3780,5, Not Graduate, No,5400000,21100000,12,661,15800000,10400000,20100000,5400000, Approved
+3781,3, Graduate, Yes,600000,1700000,4,576,400000,100000,2100000,500000, Approved
+3782,1, Graduate, No,600000,1200000,14,443,700000,1000000,2200000,800000, Rejected
+3783,5, Graduate, Yes,9500000,21700000,16,307,27500000,2700000,28500000,9700000, Rejected
+3784,4, Graduate, Yes,1900000,4800000,12,656,1500000,1600000,5400000,1700000, Approved
+3785,1, Graduate, Yes,9800000,21200000,4,885,18000000,16400000,37300000,10800000, Approved
+3786,3, Graduate, No,7800000,16600000,20,896,12400000,10800000,30500000,5500000, Approved
+3787,5, Not Graduate, No,4900000,14100000,2,802,3300000,7500000,16100000,2700000, Approved
+3788,3, Graduate, Yes,8300000,22700000,2,650,3600000,16000000,18000000,5800000, Approved
+3789,4, Not Graduate, Yes,3900000,8900000,10,665,9300000,4000000,9200000,5300000, Approved
+3790,2, Graduate, No,9000000,35700000,12,339,15200000,8400000,19500000,9000000, Rejected
+3791,1, Not Graduate, No,9600000,32400000,20,447,15400000,18400000,19800000,4700000, Rejected
+3792,5, Not Graduate, Yes,1000000,2400000,18,613,1600000,1300000,2600000,600000, Approved
+3793,5, Graduate, No,2800000,7200000,16,424,900000,5000000,6100000,3200000, Rejected
+3794,2, Not Graduate, No,8300000,20800000,6,667,19300000,4100000,25400000,6800000, Approved
+3795,4, Not Graduate, Yes,6900000,18300000,18,715,8200000,600000,15000000,7500000, Approved
+3796,5, Not Graduate, Yes,3800000,9100000,18,654,9000000,4000000,10200000,3000000, Approved
+3797,2, Not Graduate, No,8000000,17800000,20,549,2400000,9700000,27400000,10800000, Rejected
+3798,4, Graduate, Yes,9800000,29700000,4,373,11100000,5500000,37800000,10000000, Approved
+3799,0, Graduate, Yes,2900000,7200000,16,332,3600000,5700000,7600000,3600000, Rejected
+3800,4, Graduate, No,7900000,31500000,20,534,12400000,8500000,21600000,6400000, Rejected
+3801,3, Not Graduate, No,4600000,17900000,8,396,10700000,4000000,12300000,2600000, Rejected
+3802,2, Graduate, No,1000000,3700000,18,892,2200000,800000,3000000,500000, Approved
+3803,5, Graduate, No,9000000,21300000,14,602,3400000,7700000,35400000,11000000, Approved
+3804,0, Graduate, Yes,9400000,36100000,10,615,21200000,3800000,27400000,9100000, Approved
+3805,5, Graduate, Yes,7400000,23300000,20,482,15700000,3600000,29100000,6800000, Rejected
+3806,0, Graduate, No,6600000,20100000,16,397,19200000,7000000,17200000,8400000, Rejected
+3807,0, Not Graduate, No,1300000,3400000,10,464,1200000,200000,3500000,1400000, Rejected
+3808,0, Graduate, Yes,1100000,3400000,14,832,3200000,200000,4400000,1600000, Approved
+3809,5, Graduate, No,9200000,34800000,12,802,22000000,11000000,19800000,12500000, Approved
+3810,2, Graduate, No,7000000,23900000,18,628,13400000,6600000,25200000,7200000, Approved
+3811,4, Graduate, No,5100000,18800000,10,694,6400000,5300000,13500000,4100000, Approved
+3812,1, Not Graduate, Yes,3200000,9300000,20,741,3800000,3500000,6900000,2300000, Approved
+3813,1, Not Graduate, Yes,3700000,10900000,14,748,3700000,2800000,13200000,4100000, Approved
+3814,5, Graduate, No,3600000,12800000,4,320,2500000,2900000,12600000,2900000, Approved
+3815,1, Graduate, No,5600000,11700000,10,774,11000000,4300000,13100000,6500000, Approved
+3816,0, Not Graduate, Yes,9500000,32000000,2,500,8300000,9700000,24500000,5600000, Approved
+3817,4, Not Graduate, No,1500000,4000000,18,706,0,2700000,4400000,1700000, Approved
+3818,4, Not Graduate, No,7400000,18300000,10,601,16400000,12600000,28800000,6100000, Approved
+3819,2, Graduate, No,6000000,17400000,16,806,1800000,2100000,20200000,3500000, Approved
+3820,0, Graduate, Yes,3000000,9600000,6,644,3900000,700000,10500000,3000000, Approved
+3821,4, Graduate, Yes,6000000,12900000,14,723,700000,1600000,13600000,4100000, Approved
+3822,5, Graduate, Yes,600000,1500000,12,509,1600000,100000,1900000,800000, Rejected
+3823,0, Graduate, No,1800000,6600000,4,898,2400000,100000,4600000,1400000, Approved
+3824,2, Graduate, Yes,5500000,12000000,2,567,7200000,4700000,11500000,7000000, Approved
+3825,1, Graduate, No,1000000,2100000,6,715,2200000,1000000,2200000,1100000, Approved
+3826,2, Not Graduate, Yes,1700000,3500000,10,854,5000000,2400000,3400000,1700000, Approved
+3827,1, Graduate, Yes,3400000,12300000,8,523,6100000,4700000,8300000,2600000, Rejected
+3828,1, Graduate, Yes,9600000,35900000,8,534,24500000,17700000,31900000,5400000, Rejected
+3829,0, Not Graduate, Yes,2600000,7600000,18,470,700000,700000,5500000,2900000, Rejected
+3830,1, Graduate, No,1600000,3500000,18,619,3200000,100000,6300000,1500000, Approved
+3831,0, Graduate, Yes,4300000,12800000,20,572,8600000,2200000,11000000,6100000, Approved
+3832,3, Graduate, No,1400000,3500000,16,365,2600000,2200000,2900000,1600000, Rejected
+3833,0, Not Graduate, No,8000000,18000000,16,791,13900000,10300000,23400000,10600000, Approved
+3834,4, Not Graduate, Yes,5000000,18100000,12,424,5200000,2000000,14500000,6100000, Rejected
+3835,5, Graduate, No,4500000,10200000,12,726,2900000,8600000,17500000,4200000, Approved
+3836,1, Graduate, No,3400000,9900000,2,736,3900000,4800000,10600000,4500000, Approved
+3837,5, Graduate, Yes,5700000,12800000,14,488,13600000,1000000,13200000,5500000, Rejected
+3838,2, Not Graduate, Yes,2600000,7600000,10,400,6800000,2800000,10100000,3200000, Rejected
+3839,0, Graduate, Yes,4500000,12200000,20,311,11200000,5000000,12700000,2400000, Rejected
+3840,2, Not Graduate, Yes,5100000,16800000,2,504,6400000,2700000,17100000,4400000, Approved
+3841,4, Not Graduate, Yes,5100000,18600000,20,312,9600000,6000000,16500000,5500000, Rejected
+3842,5, Graduate, Yes,1700000,6500000,14,587,1100000,1000000,6400000,1500000, Approved
+3843,1, Not Graduate, No,5200000,10500000,20,317,3000000,8000000,19300000,5300000, Rejected
+3844,4, Not Graduate, No,8400000,29000000,2,463,12700000,1100000,20100000,6700000, Approved
+3845,1, Not Graduate, Yes,9000000,34000000,16,842,6300000,16900000,22900000,5800000, Approved
+3846,4, Graduate, Yes,3400000,11800000,20,616,5000000,3300000,9900000,2900000, Approved
+3847,1, Not Graduate, No,5400000,19400000,8,800,800000,6100000,19500000,3000000, Approved
+3848,0, Graduate, Yes,700000,2100000,12,813,200000,1300000,2200000,500000, Approved
+3849,2, Graduate, No,7600000,24800000,12,564,14000000,6200000,24700000,6700000, Approved
+3850,2, Not Graduate, No,5000000,14700000,12,837,2200000,7200000,11700000,4800000, Approved
+3851,5, Not Graduate, Yes,2500000,9400000,16,735,0,2200000,9500000,1700000, Approved
+3852,4, Not Graduate, Yes,2000000,5200000,16,724,5200000,3800000,4600000,2800000, Approved
+3853,5, Not Graduate, No,9000000,23900000,12,658,5700000,4600000,32100000,6100000, Approved
+3854,5, Graduate, No,8300000,31800000,16,858,24600000,11100000,26300000,8500000, Approved
+3855,0, Not Graduate, Yes,3100000,8500000,8,614,1700000,4600000,11000000,3300000, Approved
+3856,2, Graduate, Yes,8500000,25600000,16,714,11400000,14800000,17200000,5700000, Approved
+3857,2, Graduate, Yes,1200000,4600000,20,605,3600000,1500000,4600000,600000, Approved
+3858,4, Graduate, Yes,2800000,5500000,8,875,6900000,4000000,6000000,3300000, Approved
+3859,5, Graduate, Yes,2800000,10900000,6,359,5000000,3300000,7600000,3000000, Rejected
+3860,5, Graduate, Yes,6500000,24100000,6,441,14100000,9600000,15300000,5200000, Rejected
+3861,4, Graduate, No,8700000,25200000,18,790,25000000,9100000,18400000,8400000, Approved
+3862,1, Not Graduate, Yes,5400000,13600000,4,821,11600000,8700000,19900000,5600000, Approved
+3863,2, Not Graduate, No,8600000,33300000,16,375,19600000,11200000,25500000,11200000, Rejected
+3864,3, Graduate, No,4700000,9600000,10,545,5200000,7200000,12000000,5300000, Rejected
+3865,5, Not Graduate, Yes,1100000,3900000,4,891,1100000,200000,3400000,900000, Approved
+3866,0, Graduate, No,6400000,14000000,8,486,5100000,12700000,23900000,3700000, Rejected
+3867,0, Graduate, No,4300000,9900000,4,696,12400000,2100000,17000000,2100000, Approved
+3868,5, Not Graduate, Yes,2900000,11100000,4,683,1700000,3900000,9400000,3300000, Approved
+3869,5, Not Graduate, No,9600000,27100000,8,594,25500000,4600000,26800000,13300000, Approved
+3870,3, Not Graduate, Yes,900000,2500000,20,529,900000,300000,3200000,700000, Rejected
+3871,5, Not Graduate, No,8100000,26300000,4,429,3600000,8500000,22200000,6900000, Approved
+3872,0, Not Graduate, Yes,8800000,25000000,4,400,11300000,4000000,23600000,9400000, Rejected
+3873,0, Graduate, No,8800000,17500000,4,848,25400000,8200000,31600000,5100000, Approved
+3874,1, Not Graduate, No,6400000,21500000,6,489,1600000,4600000,17600000,8900000, Rejected
+3875,2, Graduate, No,2900000,6600000,10,326,8600000,2200000,7400000,3400000, Rejected
+3876,5, Graduate, No,1600000,6100000,8,663,3900000,800000,6400000,1200000, Approved
+3877,1, Not Graduate, No,1600000,5100000,18,729,2500000,2000000,6200000,900000, Approved
+3878,2, Graduate, Yes,3100000,10700000,4,398,3100000,3000000,7400000,2000000, Approved
+3879,2, Not Graduate, Yes,5600000,16700000,14,856,400000,10200000,14700000,5200000, Approved
+3880,3, Graduate, Yes,8100000,19900000,20,347,22800000,14400000,29800000,5500000, Rejected
+3881,3, Not Graduate, No,9100000,19300000,12,696,26200000,7700000,30100000,13300000, Approved
+3882,0, Graduate, Yes,5500000,17100000,8,353,400000,200000,17100000,5200000, Rejected
+3883,1, Graduate, Yes,9700000,34300000,20,756,15700000,18500000,26800000,14100000, Approved
+3884,4, Graduate, No,2300000,5400000,16,490,6200000,3700000,5500000,2100000, Rejected
+3885,1, Not Graduate, Yes,5600000,18000000,10,531,6500000,9000000,19800000,8400000, Rejected
+3886,2, Not Graduate, Yes,4500000,16600000,4,679,10300000,3100000,11700000,5000000, Approved
+3887,1, Graduate, Yes,500000,1800000,8,877,100000,200000,1100000,600000, Approved
+3888,0, Graduate, No,4200000,11000000,20,817,6700000,2400000,11700000,6100000, Approved
+3889,1, Not Graduate, No,9100000,23300000,18,792,800000,12600000,32100000,12400000, Approved
+3890,4, Graduate, Yes,3200000,12800000,18,664,6300000,3400000,7600000,2100000, Approved
+3891,4, Graduate, Yes,6200000,21300000,16,882,11800000,3500000,12900000,4100000, Approved
+3892,3, Not Graduate, Yes,2500000,7700000,10,768,4500000,400000,8000000,2600000, Approved
+3893,0, Graduate, No,9100000,27100000,12,787,24300000,2900000,34800000,9500000, Approved
+3894,3, Graduate, Yes,500000,900000,12,538,0,700000,1500000,300000, Rejected
+3895,4, Not Graduate, No,6900000,18000000,8,347,16400000,9300000,18300000,8700000, Rejected
+3896,0, Graduate, Yes,1800000,5200000,16,317,4900000,1500000,4000000,1300000, Rejected
+3897,0, Graduate, Yes,4000000,14500000,2,713,6200000,4900000,12200000,4700000, Approved
+3898,1, Not Graduate, No,3900000,12300000,10,683,1000000,700000,11700000,2400000, Approved
+3899,2, Not Graduate, Yes,8000000,28100000,18,765,24000000,10500000,17700000,8200000, Approved
+3900,5, Graduate, No,900000,3200000,10,803,1600000,1700000,2300000,800000, Approved
+3901,0, Graduate, Yes,8200000,29700000,6,405,3900000,800000,23900000,5700000, Rejected
+3902,5, Graduate, No,2300000,4900000,4,529,6200000,3900000,9200000,2000000, Rejected
+3903,5, Graduate, Yes,6900000,19400000,6,801,10100000,9400000,17000000,5500000, Approved
+3904,3, Not Graduate, No,8800000,30700000,12,707,15000000,100000,32800000,8000000, Approved
+3905,1, Graduate, No,2600000,7200000,8,349,5900000,1400000,9400000,3000000, Rejected
+3906,1, Graduate, No,3700000,8700000,20,885,6200000,3500000,10900000,2600000, Approved
+3907,2, Graduate, Yes,6200000,23800000,4,489,2900000,7500000,21300000,3300000, Approved
+3908,3, Graduate, Yes,1000000,2600000,6,341,2900000,1700000,3600000,1100000, Rejected
+3909,1, Not Graduate, No,6000000,20000000,12,637,10800000,4300000,20000000,8600000, Approved
+3910,1, Not Graduate, Yes,9100000,31400000,4,304,14100000,16700000,30200000,9600000, Approved
+3911,1, Graduate, No,1700000,6700000,16,537,4300000,2900000,3500000,1100000, Rejected
+3912,5, Not Graduate, Yes,1700000,4600000,12,503,900000,2200000,4800000,1200000, Rejected
+3913,1, Graduate, No,7100000,14300000,12,720,4600000,500000,27300000,8400000, Approved
+3914,5, Graduate, No,9400000,36800000,10,509,20700000,7400000,22400000,6300000, Rejected
+3915,5, Not Graduate, No,6200000,16400000,6,360,900000,7200000,22400000,6300000, Rejected
+3916,1, Graduate, No,8300000,31800000,16,818,23400000,7400000,32200000,8500000, Approved
+3917,1, Graduate, Yes,8900000,21200000,8,716,5400000,9200000,23800000,7900000, Approved
+3918,1, Graduate, Yes,6500000,14800000,12,360,3500000,2100000,15000000,7300000, Rejected
+3919,3, Graduate, Yes,8100000,26700000,10,895,5100000,9800000,17100000,9900000, Approved
+3920,2, Not Graduate, No,4900000,13500000,8,328,10500000,8100000,18300000,3400000, Rejected
+3921,4, Graduate, No,9100000,26600000,2,812,23300000,11900000,33100000,10400000, Approved
+3922,3, Graduate, Yes,9000000,33100000,16,456,23800000,7000000,26000000,7100000, Rejected
+3923,4, Graduate, Yes,1300000,3900000,16,566,700000,200000,3400000,1600000, Approved
+3924,1, Not Graduate, No,6700000,25000000,20,598,5300000,12900000,13600000,7000000, Approved
+3925,5, Not Graduate, No,3200000,9300000,6,656,7000000,3200000,12700000,4200000, Approved
+3926,0, Not Graduate, No,7500000,28700000,2,895,2000000,4100000,21500000,7200000, Approved
+3927,3, Graduate, No,4900000,12800000,14,653,7300000,1000000,13000000,7200000, Approved
+3928,1, Not Graduate, Yes,700000,1800000,16,641,2100000,400000,1600000,900000, Approved
+3929,2, Graduate, No,6400000,16500000,8,544,12100000,6300000,15200000,5400000, Rejected
+3930,0, Not Graduate, Yes,3900000,14100000,20,811,5700000,3600000,10500000,5300000, Approved
+3931,4, Graduate, No,9700000,26900000,10,460,11400000,3900000,31400000,9300000, Rejected
+3932,5, Graduate, Yes,3600000,12500000,12,795,10600000,2700000,11100000,4800000, Approved
+3933,2, Graduate, Yes,3400000,10300000,4,745,4900000,4000000,10000000,3900000, Approved
+3934,0, Not Graduate, No,9800000,20100000,16,606,6200000,800000,37300000,8700000, Approved
+3935,1, Not Graduate, No,5100000,14200000,6,451,6100000,7600000,11400000,5600000, Rejected
+3936,4, Graduate, Yes,5900000,11800000,8,479,11000000,1200000,15700000,3900000, Rejected
+3937,5, Graduate, No,1200000,2400000,14,495,1800000,1800000,4100000,1300000, Rejected
+3938,2, Not Graduate, No,9700000,30200000,14,769,23700000,13600000,26400000,7500000, Approved
+3939,5, Not Graduate, Yes,4700000,11800000,4,639,3600000,700000,9400000,5500000, Approved
+3940,5, Graduate, No,4200000,12500000,18,723,1200000,300000,12900000,6100000, Approved
+3941,4, Graduate, No,9300000,26100000,16,623,11700000,10500000,21100000,10700000, Approved
+3942,3, Not Graduate, Yes,5300000,20800000,6,487,9700000,3400000,18500000,4200000, Rejected
+3943,0, Graduate, No,7600000,30100000,2,743,20700000,8700000,27600000,9600000, Approved
+3944,2, Graduate, No,6200000,16900000,12,754,2300000,4200000,15300000,7900000, Approved
+3945,0, Graduate, No,8900000,21600000,10,552,2300000,9900000,20700000,11900000, Approved
+3946,4, Not Graduate, Yes,7900000,27300000,10,560,23100000,14400000,28500000,10900000, Approved
+3947,1, Graduate, Yes,3500000,10800000,14,632,6900000,1500000,10900000,4200000, Approved
+3948,2, Graduate, No,5300000,16700000,18,339,4600000,3300000,12000000,4100000, Rejected
+3949,2, Not Graduate, No,1400000,3100000,4,881,3700000,400000,5000000,1100000, Approved
+3950,1, Not Graduate, Yes,9100000,23600000,20,535,2800000,17600000,26400000,4500000, Rejected
+3951,4, Not Graduate, No,4400000,17200000,4,563,4100000,3700000,12700000,2900000, Approved
+3952,5, Not Graduate, No,2800000,8200000,14,615,7400000,3300000,6700000,2700000, Approved
+3953,3, Not Graduate, No,1300000,3300000,8,795,1400000,800000,4600000,1600000, Approved
+3954,4, Graduate, No,8400000,28700000,14,878,23400000,8300000,23900000,8600000, Approved
+3955,5, Graduate, Yes,5300000,14000000,6,633,11800000,4500000,12800000,6100000, Approved
+3956,2, Graduate, No,6000000,13900000,4,533,3000000,9600000,14600000,4100000, Rejected
+3957,2, Not Graduate, Yes,2100000,6800000,12,795,6100000,1900000,7200000,2400000, Approved
+3958,0, Not Graduate, No,4300000,11000000,4,374,7100000,7300000,9300000,4700000, Rejected
+3959,4, Not Graduate, Yes,7300000,22900000,12,848,6300000,2900000,28500000,4100000, Approved
+3960,2, Graduate, No,5200000,16200000,12,890,10500000,9600000,15800000,3900000, Approved
+3961,3, Graduate, No,4700000,9800000,14,444,8200000,300000,15700000,3800000, Rejected
+3962,4, Graduate, No,7800000,28500000,4,803,15500000,11300000,21100000,9800000, Approved
+3963,3, Graduate, Yes,500000,1900000,18,618,-100000,600000,1000000,400000, Approved
+3964,1, Not Graduate, Yes,6000000,20300000,14,845,5000000,7800000,23700000,8700000, Approved
+3965,4, Graduate, No,4800000,10800000,12,833,3000000,4000000,16400000,7100000, Approved
+3966,3, Graduate, Yes,8900000,19300000,12,767,12000000,2200000,24700000,7700000, Approved
+3967,1, Graduate, Yes,1800000,4000000,16,747,700000,200000,4600000,900000, Approved
+3968,2, Graduate, No,3000000,7000000,4,588,5300000,3400000,11900000,3400000, Approved
+3969,4, Not Graduate, No,7700000,24500000,20,582,9800000,6600000,29100000,6500000, Approved
+3970,1, Not Graduate, No,8300000,20400000,14,348,5600000,12500000,29100000,4700000, Rejected
+3971,4, Not Graduate, No,4200000,9400000,4,726,10000000,8100000,16100000,5500000, Approved
+3972,4, Graduate, Yes,8000000,31200000,6,482,19800000,11500000,22200000,5700000, Rejected
+3973,2, Graduate, Yes,9400000,30000000,16,565,1200000,3900000,28200000,9000000, Approved
+3974,1, Graduate, No,800000,2400000,16,872,2400000,1200000,1900000,900000, Approved
+3975,0, Graduate, Yes,500000,1300000,4,825,600000,0,1800000,200000, Approved
+3976,2, Graduate, Yes,6100000,22300000,8,694,16200000,10900000,22900000,7200000, Approved
+3977,3, Graduate, Yes,8500000,30800000,20,448,23000000,1400000,22900000,7900000, Rejected
+3978,5, Graduate, Yes,7600000,18000000,12,452,7900000,4300000,23800000,4700000, Rejected
+3979,3, Not Graduate, No,8700000,17900000,12,897,16400000,3500000,31600000,12500000, Approved
+3980,4, Not Graduate, No,9400000,20200000,10,803,24800000,1000000,34400000,4800000, Approved
+3981,1, Not Graduate, Yes,400000,900000,8,828,600000,500000,1500000,300000, Approved
+3982,0, Graduate, No,2700000,7500000,6,832,7700000,1200000,10000000,2500000, Approved
+3983,1, Not Graduate, Yes,2300000,5500000,6,861,1600000,1200000,4700000,1700000, Approved
+3984,0, Graduate, No,7500000,15900000,2,535,17500000,5700000,23600000,4500000, Rejected
+3985,4, Not Graduate, Yes,7100000,19400000,16,363,17900000,2600000,22600000,4000000, Rejected
+3986,1, Not Graduate, Yes,8800000,28600000,8,631,11000000,13200000,25000000,7700000, Approved
+3987,2, Not Graduate, No,8400000,20700000,6,513,500000,16400000,18800000,7900000, Rejected
+3988,0, Graduate, Yes,4700000,16200000,16,317,12700000,400000,9400000,2500000, Rejected
+3989,1, Graduate, No,6900000,19500000,2,809,6100000,10600000,22900000,9300000, Approved
+3990,3, Not Graduate, No,2400000,8200000,10,531,6800000,1900000,5700000,2000000, Rejected
+3991,1, Not Graduate, Yes,1600000,4800000,14,544,2200000,200000,6200000,1200000, Rejected
+3992,0, Graduate, No,3500000,7800000,14,366,6400000,3000000,13700000,4900000, Rejected
+3993,0, Not Graduate, No,3700000,12700000,14,797,1300000,1100000,12300000,3700000, Approved
+3994,1, Not Graduate, No,3200000,12000000,16,597,6800000,1900000,7700000,2200000, Approved
+3995,2, Not Graduate, Yes,7000000,22500000,12,632,12500000,4600000,20400000,4900000, Approved
+3996,5, Not Graduate, No,9300000,28300000,12,741,7600000,12900000,32400000,5200000, Approved
+3997,0, Not Graduate, No,200000,800000,20,331,300000,0,500000,100000, Rejected
+3998,4, Graduate, No,6900000,16500000,8,426,3900000,5200000,18300000,9000000, Rejected
+3999,3, Not Graduate, No,9000000,26500000,8,533,17100000,12400000,27800000,6000000, Rejected
+4000,1, Not Graduate, No,6900000,22700000,16,394,3800000,4300000,27400000,8700000, Rejected
+4001,0, Graduate, No,7500000,25100000,14,877,21000000,11400000,16900000,10700000, Approved
+4002,5, Not Graduate, No,9200000,28000000,8,527,18700000,7700000,24400000,6400000, Rejected
+4003,1, Graduate, No,4600000,12700000,8,468,10400000,0,14500000,3900000, Rejected
+4004,4, Graduate, Yes,5000000,19600000,18,611,13400000,4400000,14400000,4600000, Approved
+4005,2, Graduate, No,4500000,17200000,6,832,2700000,8500000,10900000,6700000, Approved
+4006,0, Graduate, No,7900000,22700000,18,508,6600000,7000000,31600000,8900000, Rejected
+4007,5, Not Graduate, No,5100000,13500000,20,840,1400000,5300000,14700000,4500000, Approved
+4008,4, Graduate, No,3700000,7600000,14,794,9500000,7300000,12100000,4500000, Approved
+4009,1, Not Graduate, No,5300000,17800000,12,889,15300000,500000,14900000,6800000, Approved
+4010,4, Not Graduate, No,200000,500000,16,765,600000,100000,600000,100000, Approved
+4011,3, Graduate, Yes,9000000,18600000,16,518,18400000,17600000,28900000,10300000, Rejected
+4012,3, Not Graduate, No,6900000,17100000,4,694,4200000,6100000,27000000,6000000, Approved
+4013,2, Not Graduate, No,700000,2300000,8,663,700000,500000,2800000,1000000, Approved
+4014,0, Graduate, No,2500000,8900000,2,662,4000000,2100000,9700000,3000000, Approved
+4015,0, Not Graduate, No,4600000,14400000,14,642,10100000,8700000,11100000,4800000, Approved
+4016,4, Graduate, No,1000000,3900000,10,701,2200000,1000000,4000000,900000, Approved
+4017,4, Not Graduate, Yes,9200000,30100000,6,632,23700000,6600000,34200000,6200000, Approved
+4018,3, Graduate, Yes,2200000,4400000,2,861,1300000,2600000,4500000,2300000, Approved
+4019,4, Graduate, Yes,9700000,33300000,12,784,14600000,15800000,37900000,6500000, Approved
+4020,0, Graduate, Yes,5500000,18200000,4,332,8100000,4000000,16400000,5600000, Approved
+4021,4, Not Graduate, Yes,1300000,3400000,2,763,3800000,200000,5100000,1400000, Approved
+4022,1, Not Graduate, Yes,7900000,19100000,2,593,20800000,12200000,26100000,7800000, Approved
+4023,2, Not Graduate, No,4300000,8800000,6,512,7200000,6500000,16900000,2700000, Rejected
+4024,0, Not Graduate, No,3800000,13300000,6,655,9600000,0,8600000,2600000, Approved
+4025,3, Not Graduate, No,8700000,24700000,8,369,4000000,800000,31100000,4800000, Rejected
+4026,3, Graduate, No,1300000,3100000,14,348,1500000,600000,3900000,600000, Rejected
+4027,1, Not Graduate, Yes,6800000,16800000,10,736,2000000,2600000,23800000,5600000, Approved
+4028,1, Not Graduate, No,9100000,24000000,20,353,25100000,9200000,26100000,10900000, Rejected
+4029,0, Graduate, No,3000000,11300000,16,478,5600000,2000000,9800000,2000000, Rejected
+4030,0, Not Graduate, Yes,1200000,3000000,4,827,3200000,600000,2300000,1500000, Approved
+4031,1, Not Graduate, Yes,5000000,16900000,12,517,2200000,1500000,15500000,5400000, Rejected
+4032,5, Graduate, Yes,9700000,24700000,18,648,15100000,600000,25200000,6800000, Approved
+4033,2, Not Graduate, Yes,7000000,23800000,10,689,8400000,5400000,15700000,7800000, Approved
+4034,1, Graduate, No,4100000,9100000,20,550,9900000,5200000,10800000,4800000, Approved
+4035,0, Graduate, Yes,5300000,12900000,20,826,15500000,6800000,12000000,5200000, Approved
+4036,1, Not Graduate, No,7300000,19200000,14,599,18400000,5400000,15900000,3700000, Approved
+4037,1, Graduate, No,6500000,18500000,16,815,6300000,10000000,13400000,4000000, Approved
+4038,4, Graduate, Yes,600000,1400000,4,761,800000,500000,2100000,300000, Approved
+4039,3, Not Graduate, Yes,5200000,15000000,20,432,6900000,5000000,15600000,5100000, Rejected
+4040,4, Not Graduate, Yes,2800000,9200000,18,442,5800000,4800000,8400000,1300000, Rejected
+4041,1, Graduate, Yes,7800000,23300000,6,620,3500000,2100000,22200000,7600000, Approved
+4042,2, Graduate, No,3000000,6500000,4,476,7900000,300000,9400000,1500000, Rejected
+4043,4, Graduate, No,9300000,34900000,6,837,27400000,800000,21400000,8500000, Approved
+4044,3, Not Graduate, Yes,5100000,18000000,6,510,13400000,6600000,17200000,7600000, Rejected
+4045,4, Not Graduate, Yes,4300000,16100000,18,849,3800000,6600000,17100000,6400000, Approved
+4046,3, Graduate, No,1100000,2100000,8,737,2900000,2000000,2500000,900000, Approved
+4047,2, Graduate, No,6500000,16200000,10,809,14000000,4700000,13200000,8600000, Approved
+4048,3, Not Graduate, No,6400000,23000000,8,520,12100000,11400000,16000000,3800000, Rejected
+4049,2, Not Graduate, No,7400000,22500000,16,834,6400000,12600000,15700000,6000000, Approved
+4050,4, Graduate, No,8700000,32100000,8,397,8900000,17000000,34700000,4800000, Rejected
+4051,0, Not Graduate, No,9200000,24700000,14,438,4800000,16000000,20600000,10700000, Rejected
+4052,1, Graduate, Yes,6200000,19700000,18,820,11200000,3400000,15600000,4700000, Approved
+4053,1, Not Graduate, No,1200000,4600000,20,323,2000000,1700000,2600000,1400000, Rejected
+4054,1, Not Graduate, Yes,7000000,20300000,14,837,7700000,2200000,19700000,5500000, Approved
+4055,5, Graduate, Yes,3800000,10100000,2,571,7400000,6600000,12600000,3300000, Approved
+4056,0, Graduate, No,4900000,16300000,14,479,1600000,6400000,18600000,2700000, Rejected
+4057,2, Graduate, Yes,7800000,22100000,6,533,11900000,2500000,19300000,10800000, Rejected
+4058,1, Not Graduate, Yes,7400000,17200000,8,899,16500000,8700000,16700000,4900000, Approved
+4059,1, Not Graduate, No,7000000,26600000,16,460,20500000,3300000,27700000,4600000, Rejected
+4060,1, Not Graduate, No,4900000,12500000,2,636,14200000,6400000,13900000,5000000, Approved
+4061,3, Not Graduate, No,5800000,20600000,20,434,8400000,2700000,22600000,7000000, Rejected
+4062,5, Not Graduate, No,2000000,6900000,18,516,4600000,3400000,6500000,1600000, Rejected
+4063,4, Graduate, No,8300000,24600000,2,382,1400000,1200000,16700000,6600000, Rejected
+4064,0, Graduate, Yes,1000000,2800000,12,616,700000,700000,3900000,700000, Approved
+4065,3, Graduate, No,5500000,11600000,6,745,9400000,8000000,12800000,5400000, Approved
+4066,5, Graduate, No,1400000,3400000,6,697,2000000,500000,4600000,1600000, Approved
+4067,4, Graduate, No,3700000,12300000,6,364,5900000,4200000,13700000,4400000, Rejected
+4068,2, Not Graduate, Yes,2100000,6900000,2,566,700000,1500000,8100000,1000000, Approved
+4069,4, Not Graduate, No,6200000,21900000,12,462,9400000,2000000,16600000,8300000, Rejected
+4070,0, Not Graduate, No,9300000,31900000,2,331,7100000,11200000,23700000,8000000, Approved
+4071,3, Not Graduate, Yes,5100000,10300000,12,839,13400000,5400000,10700000,7500000, Approved
+4072,0, Graduate, Yes,7000000,14000000,4,702,9000000,3100000,21400000,7600000, Approved
+4073,3, Graduate, Yes,5300000,17900000,2,580,10200000,6400000,11600000,3600000, Approved
+4074,3, Graduate, No,900000,2800000,10,560,2700000,300000,1900000,1300000, Approved
+4075,4, Not Graduate, Yes,9400000,25700000,14,845,27300000,4100000,26500000,12200000, Approved
+4076,4, Not Graduate, Yes,2600000,8500000,4,392,5500000,100000,8800000,2900000, Approved
+4077,2, Graduate, No,1500000,4900000,16,387,-100000,2400000,3700000,1300000, Rejected
+4078,1, Graduate, Yes,1800000,6300000,12,749,4200000,200000,3800000,2700000, Approved
+4079,3, Graduate, Yes,7800000,20000000,14,727,4600000,7200000,17300000,8600000, Approved
+4080,3, Graduate, Yes,2100000,7400000,14,656,5600000,400000,5200000,2800000, Approved
+4081,0, Not Graduate, Yes,8300000,17500000,20,643,24800000,8900000,18800000,5100000, Approved
+4082,2, Not Graduate, Yes,4400000,16800000,4,307,12800000,7200000,9700000,5800000, Approved
+4083,2, Not Graduate, No,2300000,5000000,16,588,2000000,3500000,7000000,1500000, Approved
+4084,3, Graduate, Yes,7700000,22300000,20,895,22200000,13300000,23900000,9100000, Approved
+4085,0, Not Graduate, Yes,9300000,29400000,10,351,24200000,6800000,35800000,6100000, Rejected
+4086,5, Not Graduate, No,5900000,16400000,12,891,10200000,10400000,19600000,4700000, Approved
+4087,5, Not Graduate, Yes,1900000,4900000,4,442,3200000,2100000,5800000,900000, Rejected
+4088,0, Not Graduate, No,6900000,19500000,20,686,2300000,8700000,16400000,6200000, Approved
+4089,4, Graduate, Yes,2100000,8200000,20,432,6000000,900000,5600000,1000000, Rejected
+4090,0, Not Graduate, No,8200000,20900000,14,766,4400000,12300000,18400000,12100000, Approved
+4091,4, Not Graduate, No,7700000,17200000,6,561,6000000,5000000,15400000,6800000, Approved
+4092,5, Not Graduate, No,7700000,19000000,2,539,4000000,14500000,29300000,4100000, Rejected
+4093,1, Graduate, No,700000,1400000,6,759,1000000,500000,2600000,700000, Approved
+4094,5, Graduate, No,7100000,18200000,8,750,21000000,7900000,20800000,5300000, Approved
+4095,2, Graduate, No,3900000,13600000,10,373,11600000,1000000,8400000,3600000, Rejected
+4096,1, Not Graduate, Yes,5200000,20500000,10,407,1100000,3400000,18200000,3800000, Rejected
+4097,4, Not Graduate, No,5500000,20200000,14,611,13700000,5700000,15100000,7200000, Approved
+4098,3, Graduate, No,2600000,6300000,10,783,6500000,2400000,6500000,2600000, Approved
+4099,0, Not Graduate, Yes,7300000,24000000,18,651,16600000,100000,19600000,4500000, Approved
+4100,3, Graduate, No,8700000,31100000,16,760,400000,1800000,19300000,4800000, Rejected
+4101,3, Graduate, No,9000000,22700000,16,793,11700000,10800000,35000000,7000000, Approved
+4102,4, Graduate, No,400000,800000,16,685,500000,300000,1300000,600000, Approved
+4103,2, Not Graduate, Yes,3300000,10700000,8,806,5700000,600000,11500000,4900000, Approved
+4104,1, Not Graduate, No,6300000,17800000,12,770,6000000,3000000,17000000,3200000, Approved
+4105,0, Not Graduate, No,7000000,23600000,14,663,13800000,9100000,21300000,7200000, Approved
+4106,2, Graduate, Yes,2100000,8100000,4,592,2000000,2500000,7900000,2700000, Approved
+4107,3, Not Graduate, No,7600000,26300000,18,580,19100000,14600000,25500000,5100000, Approved
+4108,1, Graduate, No,8200000,17500000,4,609,4500000,5600000,24100000,7700000, Approved
+4109,3, Not Graduate, Yes,9200000,23200000,8,380,13100000,15500000,18900000,6100000, Rejected
+4110,3, Graduate, No,3800000,12100000,20,364,4100000,5100000,11600000,3000000, Rejected
+4111,1, Graduate, No,3200000,8900000,12,866,5100000,700000,9900000,2400000, Approved
+4112,4, Not Graduate, No,9700000,31700000,10,342,700000,100000,36700000,12000000, Rejected
+4113,5, Graduate, No,4700000,14400000,16,884,9900000,4400000,9300000,3800000, Approved
+4114,4, Graduate, Yes,3800000,12500000,18,859,3900000,4600000,8200000,2700000, Approved
+4115,4, Graduate, No,400000,1000000,20,692,500000,400000,1600000,200000, Approved
+4116,4, Not Graduate, Yes,3200000,6800000,16,675,8000000,1900000,6800000,4000000, Approved
+4117,5, Graduate, Yes,3900000,12700000,8,886,3500000,5800000,14900000,5400000, Approved
+4118,1, Graduate, Yes,3500000,13100000,10,477,3200000,6200000,7500000,3100000, Rejected
+4119,2, Graduate, No,2200000,8300000,6,596,4700000,3000000,8500000,1800000, Approved
+4120,4, Not Graduate, No,6400000,19700000,20,400,2300000,6100000,20100000,6200000, Rejected
+4121,3, Graduate, No,9100000,19900000,2,711,2200000,17900000,24300000,13000000, Approved
+4122,0, Not Graduate, Yes,3300000,8900000,2,418,4200000,6000000,9300000,3700000, Rejected
+4123,3, Graduate, No,7800000,21800000,8,517,7700000,5100000,19500000,9100000, Rejected
+4124,0, Not Graduate, Yes,6200000,16200000,6,508,5600000,5700000,21500000,3600000, Rejected
+4125,3, Not Graduate, Yes,7000000,26100000,18,689,17200000,5700000,20500000,5900000, Approved
+4126,0, Graduate, No,9200000,28200000,12,455,19200000,6400000,34700000,5900000, Rejected
+4127,5, Not Graduate, Yes,7500000,20800000,6,617,100000,14200000,19300000,8200000, Approved
+4128,2, Graduate, No,5300000,13200000,10,500,4700000,9800000,20400000,2900000, Rejected
+4129,5, Not Graduate, Yes,6800000,22800000,14,382,17600000,700000,21700000,5800000, Rejected
+4130,1, Not Graduate, No,7900000,20800000,18,538,10000000,9700000,29900000,10600000, Rejected
+4131,0, Not Graduate, Yes,6200000,14900000,8,855,-100000,7200000,14200000,8200000, Approved
+4132,1, Graduate, No,1000000,3000000,18,614,1800000,1700000,3700000,700000, Approved
+4133,2, Graduate, Yes,7800000,25400000,10,513,22100000,600000,23500000,9800000, Rejected
+4134,5, Graduate, Yes,3000000,8800000,14,402,5600000,5300000,8600000,4200000, Rejected
+4135,5, Graduate, Yes,5700000,15000000,20,819,15500000,9800000,14100000,3400000, Approved
+4136,4, Not Graduate, No,6600000,25400000,12,622,9200000,3500000,19900000,7500000, Approved
+4137,4, Graduate, Yes,7100000,18200000,4,790,2500000,2200000,25500000,9600000, Approved
+4138,3, Graduate, Yes,1300000,4800000,14,808,3100000,2000000,5100000,1500000, Approved
+4139,2, Not Graduate, No,5200000,16800000,18,369,5400000,8600000,17000000,6800000, Rejected
+4140,3, Graduate, No,5600000,20300000,4,330,16100000,5100000,15300000,4200000, Approved
+4141,2, Graduate, No,7100000,16500000,14,857,3700000,10700000,18500000,8200000, Approved
+4142,2, Graduate, No,5100000,19100000,8,457,13200000,5100000,16400000,7600000, Rejected
+4143,3, Not Graduate, Yes,7600000,29300000,8,843,21500000,3000000,22800000,11200000, Approved
+4144,0, Graduate, Yes,2500000,5400000,6,463,1900000,3500000,8200000,1800000, Rejected
+4145,3, Graduate, No,6900000,22800000,16,582,17700000,2200000,23500000,4400000, Approved
+4146,0, Graduate, No,3100000,6500000,2,391,100000,3800000,9900000,2400000, Rejected
+4147,2, Graduate, Yes,9700000,35100000,20,612,13400000,13500000,38200000,6500000, Approved
+4148,0, Not Graduate, Yes,5800000,12600000,2,859,13500000,4700000,21200000,4500000, Approved
+4149,4, Not Graduate, No,7600000,18600000,18,779,9100000,5600000,15200000,10000000, Approved
+4150,5, Not Graduate, No,700000,2800000,2,561,900000,400000,1900000,800000, Approved
+4151,3, Graduate, No,2300000,5600000,18,420,1300000,600000,6700000,2100000, Rejected
+4152,3, Not Graduate, No,1600000,3300000,8,609,4700000,100000,6000000,800000, Approved
+4153,4, Not Graduate, No,8100000,19300000,14,821,16500000,8500000,25800000,8300000, Approved
+4154,1, Graduate, No,7700000,17100000,14,603,11100000,12100000,30300000,7100000, Approved
+4155,4, Graduate, No,1500000,3400000,10,778,3800000,300000,4000000,2200000, Approved
+4156,3, Not Graduate, No,7400000,23500000,2,460,20600000,12200000,25900000,9200000, Approved
+4157,4, Not Graduate, Yes,8900000,27100000,18,363,7800000,9600000,25400000,12700000, Rejected
+4158,0, Graduate, No,2400000,5300000,16,482,5500000,4200000,8400000,2600000, Rejected
+4159,5, Graduate, No,5600000,20300000,4,772,10600000,6000000,13600000,7600000, Approved
+4160,4, Graduate, No,5900000,14400000,6,745,15300000,5100000,16500000,3000000, Approved
+4161,1, Graduate, No,1600000,3300000,2,513,400000,1300000,4600000,2200000, Rejected
+4162,5, Not Graduate, No,1100000,4000000,2,362,1800000,1300000,3500000,1100000, Approved
+4163,2, Graduate, Yes,6600000,25600000,6,740,10900000,1900000,18900000,9200000, Approved
+4164,3, Graduate, No,8900000,24400000,10,774,11200000,6100000,31400000,7300000, Approved
+4165,1, Graduate, Yes,6400000,16400000,20,555,6000000,2500000,20100000,7400000, Approved
+4166,4, Not Graduate, Yes,8200000,17300000,12,588,9700000,1200000,20700000,4800000, Approved
+4167,1, Graduate, No,500000,1300000,14,619,1500000,100000,2000000,500000, Approved
+4168,0, Graduate, No,9700000,31600000,18,607,24300000,7900000,32400000,7500000, Approved
+4169,3, Not Graduate, Yes,7100000,16700000,4,435,1700000,9600000,24300000,6200000, Rejected
+4170,4, Not Graduate, Yes,1400000,3400000,14,835,3100000,100000,4100000,2100000, Approved
+4171,1, Not Graduate, No,7200000,28100000,14,767,10000000,10400000,27500000,4000000, Approved
+4172,1, Graduate, Yes,8400000,26200000,14,643,19400000,11500000,17900000,6900000, Approved
+4173,4, Not Graduate, No,4300000,13900000,2,894,10100000,100000,8600000,3300000, Approved
+4174,0, Not Graduate, Yes,8800000,29800000,8,343,20000000,4900000,33300000,12200000, Rejected
+4175,4, Not Graduate, No,4000000,15100000,8,800,8700000,6900000,12200000,4400000, Approved
+4176,3, Not Graduate, Yes,6900000,17900000,18,494,7700000,11200000,15400000,8700000, Rejected
+4177,4, Graduate, No,9600000,33000000,14,336,5800000,8500000,30100000,4900000, Rejected
+4178,2, Not Graduate, No,6900000,16500000,16,785,19600000,8600000,27100000,3600000, Approved
+4179,1, Not Graduate, Yes,3600000,13400000,16,732,5200000,6700000,7300000,3300000, Approved
+4180,2, Not Graduate, No,1900000,4600000,12,587,3000000,1300000,4800000,1100000, Approved
+4181,3, Not Graduate, Yes,9700000,30800000,18,471,12700000,3800000,37300000,10400000, Rejected
+4182,2, Not Graduate, No,1200000,4100000,8,497,2700000,700000,3700000,1300000, Rejected
+4183,1, Not Graduate, No,400000,1600000,16,784,800000,700000,700000,100000, Approved
+4184,2, Graduate, No,6600000,21500000,18,471,13700000,9800000,17100000,4800000, Rejected
+4185,2, Graduate, No,1500000,3300000,4,763,300000,1200000,5400000,700000, Approved
+4186,4, Not Graduate, No,3500000,9500000,2,655,9900000,6600000,9400000,3100000, Approved
+4187,3, Not Graduate, Yes,4000000,8600000,4,667,11500000,6300000,15300000,3500000, Approved
+4188,3, Not Graduate, No,4100000,14100000,8,367,900000,800000,8900000,5300000, Rejected
+4189,4, Graduate, No,5800000,18500000,16,436,1400000,5500000,17100000,6500000, Rejected
+4190,4, Graduate, Yes,8600000,23300000,12,785,18800000,3800000,23500000,4500000, Approved
+4191,2, Graduate, No,4500000,11400000,10,388,11600000,3000000,14300000,2900000, Rejected
+4192,2, Graduate, Yes,9900000,37300000,8,385,600000,900000,27400000,14200000, Rejected
+4193,1, Not Graduate, Yes,3200000,8100000,10,670,9100000,3800000,9200000,1900000, Approved
+4194,5, Graduate, Yes,8900000,19100000,20,329,13300000,11400000,29500000,10000000, Rejected
+4195,5, Not Graduate, Yes,2100000,4900000,12,651,2500000,2100000,6100000,1800000, Approved
+4196,1, Graduate, No,7100000,26000000,16,727,4300000,9500000,18900000,8900000, Approved
+4197,2, Graduate, Yes,7800000,28900000,14,646,1800000,1800000,17700000,11000000, Approved
+4198,3, Not Graduate, Yes,8600000,23200000,12,894,22100000,13900000,29200000,4500000, Approved
+4199,3, Graduate, Yes,5100000,17000000,10,477,1700000,3300000,13700000,6300000, Rejected
+4200,5, Not Graduate, No,600000,2000000,20,811,300000,400000,1900000,600000, Approved
+4201,0, Graduate, Yes,6600000,21200000,18,377,1000000,9600000,14800000,9500000, Rejected
+4202,0, Not Graduate, Yes,4700000,17000000,18,802,3600000,1600000,17800000,2700000, Approved
+4203,2, Graduate, Yes,7700000,19700000,14,885,19900000,14600000,22000000,8000000, Approved
+4204,4, Graduate, Yes,6400000,21900000,6,437,7000000,10000000,24600000,4100000, Rejected
+4205,2, Graduate, No,1100000,2500000,20,615,2800000,1700000,2300000,1300000, Approved
+4206,2, Not Graduate, No,8900000,17800000,20,603,3300000,17600000,29000000,13100000, Approved
+4207,0, Not Graduate, Yes,2100000,8300000,20,765,-100000,3600000,7700000,2100000, Approved
+4208,4, Not Graduate, Yes,2300000,5800000,8,469,6100000,4200000,7900000,2400000, Rejected
+4209,3, Graduate, No,8300000,17700000,16,848,10500000,1100000,18700000,5900000, Approved
+4210,4, Graduate, No,900000,2700000,20,327,400000,1200000,2200000,1200000, Rejected
+4211,3, Not Graduate, Yes,9200000,35000000,4,716,1100000,10200000,33600000,11400000, Approved
+4212,3, Graduate, No,9800000,28300000,2,715,19500000,9600000,28800000,9200000, Approved
+4213,0, Not Graduate, No,200000,600000,12,683,400000,200000,400000,0, Approved
+4214,2, Not Graduate, Yes,3200000,9700000,6,737,7300000,3500000,9700000,2600000, Approved
+4215,5, Not Graduate, No,7800000,27000000,6,728,4400000,13100000,18500000,7400000, Approved
+4216,1, Graduate, No,8300000,30000000,18,350,12800000,10800000,23800000,9400000, Rejected
+4217,1, Graduate, Yes,2100000,5200000,14,802,100000,600000,6400000,2500000, Approved
+4218,5, Not Graduate, Yes,400000,1400000,4,483,1100000,700000,800000,100000, Approved
+4219,3, Graduate, Yes,7700000,21800000,18,684,100000,600000,15600000,5500000, Approved
+4220,4, Graduate, Yes,5600000,16500000,20,692,14500000,7800000,18000000,7400000, Approved
+4221,0, Graduate, No,8400000,31000000,4,783,19000000,13300000,30600000,6900000, Approved
+4222,3, Graduate, Yes,1300000,4300000,18,412,600000,900000,5200000,1200000, Rejected
+4223,0, Not Graduate, No,8700000,30200000,10,447,14200000,14800000,28200000,6100000, Rejected
+4224,0, Not Graduate, No,2700000,8400000,14,610,900000,1900000,6100000,2800000, Approved
+4225,5, Graduate, Yes,800000,1800000,8,881,300000,1100000,2600000,400000, Approved
+4226,5, Graduate, Yes,3800000,10300000,16,606,7700000,1900000,9900000,2700000, Approved
+4227,5, Graduate, Yes,700000,2600000,2,869,1100000,500000,1400000,500000, Approved
+4228,4, Graduate, Yes,400000,1400000,2,496,400000,200000,1100000,400000, Approved
+4229,1, Graduate, Yes,3200000,9300000,6,483,6700000,1900000,7800000,3600000, Rejected
+4230,3, Graduate, No,7500000,22200000,8,741,6600000,6900000,17600000,11000000, Approved
+4231,2, Not Graduate, No,3700000,13500000,4,820,4700000,1600000,14000000,5300000, Approved
+4232,5, Graduate, No,3300000,9100000,18,697,8800000,1800000,11300000,2600000, Approved
+4233,1, Graduate, Yes,200000,500000,20,713,0,200000,500000,100000, Approved
+4234,1, Not Graduate, No,7100000,17000000,6,754,1100000,500000,27000000,6800000, Approved
+4235,3, Not Graduate, Yes,1500000,5100000,14,837,4100000,1000000,3300000,1400000, Approved
+4236,0, Not Graduate, No,3000000,6500000,2,691,7800000,4500000,8900000,2500000, Approved
+4237,3, Graduate, Yes,1900000,5300000,12,436,2300000,3500000,5000000,2600000, Rejected
+4238,0, Not Graduate, No,9100000,30100000,8,322,26200000,9500000,18800000,5900000, Rejected
+4239,0, Not Graduate, No,2200000,7500000,2,333,3400000,600000,6200000,1500000, Approved
+4240,0, Not Graduate, Yes,8400000,23000000,14,455,400000,13400000,29800000,9400000, Rejected
+4241,1, Graduate, Yes,400000,700000,10,787,1000000,200000,1600000,500000, Approved
+4242,2, Graduate, Yes,5600000,15800000,16,748,10300000,100000,21700000,6300000, Approved
+4243,5, Not Graduate, Yes,8200000,27100000,4,643,15400000,7700000,21300000,4100000, Approved
+4244,0, Not Graduate, Yes,1600000,3400000,8,867,-100000,2700000,4300000,1300000, Approved
+4245,3, Not Graduate, No,1800000,5600000,20,860,1900000,1700000,4300000,900000, Approved
+4246,5, Not Graduate, Yes,6500000,23900000,2,507,500000,10200000,15900000,8000000, Approved
+4247,1, Graduate, Yes,3100000,11500000,4,871,1500000,2400000,7100000,3600000, Approved
+4248,3, Not Graduate, No,3100000,9800000,12,820,6400000,5200000,10900000,4400000, Approved
+4249,4, Graduate, Yes,5300000,14500000,4,352,12600000,4900000,10500000,3500000, Rejected
+4250,4, Graduate, No,1100000,4000000,14,887,2400000,1500000,4200000,1600000, Approved
+4251,1, Graduate, Yes,6000000,13400000,12,731,1300000,4300000,21300000,6900000, Approved
+4252,0, Graduate, Yes,6100000,14600000,18,645,14500000,200000,23000000,4600000, Approved
+4253,3, Not Graduate, No,4100000,14100000,10,300,7600000,2100000,8400000,2200000, Rejected
+4254,5, Graduate, Yes,7000000,26200000,12,896,13100000,6600000,23600000,5700000, Approved
+4255,0, Not Graduate, Yes,8900000,27700000,6,372,18200000,14900000,33700000,6100000, Rejected
+4256,4, Graduate, No,4800000,12000000,6,441,8400000,1300000,18200000,3200000, Rejected
+4257,3, Graduate, Yes,7400000,18300000,4,348,14300000,12600000,17900000,9800000, Rejected
+4258,0, Graduate, No,9700000,27500000,18,343,13400000,16500000,20000000,8200000, Rejected
+4259,5, Graduate, Yes,9700000,22600000,16,346,23500000,12900000,26800000,13000000, Rejected
+4260,0, Not Graduate, Yes,4500000,11500000,14,509,13400000,2300000,15400000,5900000, Rejected
+4261,5, Graduate, No,8800000,29300000,10,560,16800000,13900000,31100000,9900000, Approved
+4262,3, Graduate, Yes,3000000,7500000,6,881,1400000,4500000,6100000,2300000, Approved
+4263,5, Graduate, No,1300000,3000000,20,540,1000000,2300000,3200000,1900000, Rejected
+4264,3, Graduate, No,5000000,12700000,14,865,4700000,8100000,19500000,6300000, Approved
+4265,5, Graduate, Yes,1000000,2300000,12,317,2800000,500000,3300000,800000, Rejected
+4266,0, Not Graduate, Yes,3300000,11300000,20,559,4200000,2900000,11000000,1900000, Approved
+4267,2, Not Graduate, No,6500000,23900000,18,457,1200000,12400000,18100000,7300000, Rejected
+4268,1, Not Graduate, No,4100000,12800000,8,780,8200000,700000,14100000,5800000, Approved
+4269,1, Graduate, No,9200000,29700000,10,607,17800000,11800000,35700000,12000000, Approved
diff --git a/models/__init__.py b/models/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a586467f8c4715a8319f920b02f195d6db953d45
--- /dev/null
+++ b/models/__init__.py
@@ -0,0 +1,4 @@
+"""
+Models package for the Synthack project.
+Contains machine learning models for loan approval, employee attrition, and healthcare predictions.
+""" 
\ No newline at end of file
diff --git a/models/__pycache__/__init__.cpython-311.pyc b/models/__pycache__/__init__.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..833d93f488f69a5c72ec767ed4511da1be6f83ec
--- /dev/null
+++ b/models/__pycache__/__init__.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3028f8bf21cd9f81dd3561f5354f370668acae256504105bd7b477caed9a338d
+size 128
diff --git a/models/attrition_model.joblib b/models/attrition_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..3100f2b12bb8cfadfc5f96ab503bf9fde051df56
--- /dev/null
+++ b/models/attrition_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78c82401b88dd086cad9e96a9c5c32c1e77855b988fe1424dde056426be3db49
+size 132
diff --git a/models/attrition_model.pkl b/models/attrition_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..d3b634ac0e9202fe21d2d803e4f26974fe643ca5
--- /dev/null
+++ b/models/attrition_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c65aa4de6a42133d1f0a8cf8c73055aff7ca90636234ddfe3db819a539e2177d
+size 2027435
diff --git a/models/attrition_preprocessor.joblib b/models/attrition_preprocessor.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..e6d704fbbeaacbd7b47c1d2c71ef5ecca0257fd8
--- /dev/null
+++ b/models/attrition_preprocessor.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a208dcef9af98776fddb8083fc4c32a32b2ca276ded54123e5ae442c096af17d
+size 129
diff --git a/models/attrition_preprocessor.pkl b/models/attrition_preprocessor.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..798a8930ec6978d6a98fb6f0b361358153a2ab1d
--- /dev/null
+++ b/models/attrition_preprocessor.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1dee19546fd87af1891390e02832b7855fd884cc566df639947ef2323691447
+size 2133
diff --git a/models/diabetes_feature_names.pkl b/models/diabetes_feature_names.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..64a694d81d0d55c6a9735d90bba68aac6d4c2fd3
--- /dev/null
+++ b/models/diabetes_feature_names.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65160bdb42445c1c367b6bddb2b72a5dc78499ab3d794aebcd040c88f1fa1aea
+size 121
diff --git a/models/diabetes_model.pkl b/models/diabetes_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..d52a38441a0246ddd0fbb5c645aacde529d70548
--- /dev/null
+++ b/models/diabetes_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a8c08794a186a3d216cf2335ac9aef4e18a2edf6e1181eba0dd5f9b429d663d
+size 1488522
diff --git a/models/diabetes_model_metrics.pkl b/models/diabetes_model_metrics.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..beb88fc03f8dae6a193c25a25c2c617a1412ec00
--- /dev/null
+++ b/models/diabetes_model_metrics.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4cf0235e3ce46ab3641d5ea6bf2f049c88744d60b06f32b33ba872c172781be
+size 231
diff --git a/models/liver_disease_model.pkl b/models/liver_disease_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..540a662c6818df61029c9b91c6f918d23cdb0e4f
--- /dev/null
+++ b/models/liver_disease_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6e6cd4e8400f0744eecd2d1c7fce1562affb578b6852bf1de008c68bc043fb3
+size 328124
diff --git a/models/loan_explainer.joblib b/models/loan_explainer.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..41ff79ddeefdd0f5307050353c12b34fef8bb3b4
--- /dev/null
+++ b/models/loan_explainer.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66e2ece4c1d77dd57373342256b0dc228507c1019037e1814041304217f4d87a
+size 4365509
diff --git a/models/loan_feature_names.joblib b/models/loan_feature_names.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..3a84572e576c1ea271062926d30f51ea0db4cbf6
--- /dev/null
+++ b/models/loan_feature_names.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b97d6eec892839605e58dbe09cbf07bef2e7ea92bff26d362592d88531fd57a2
+size 212
diff --git a/models/loan_label_encoders.joblib b/models/loan_label_encoders.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..ee25b54241c8b473563e75fcc6874fbe99cf22bd
--- /dev/null
+++ b/models/loan_label_encoders.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33233716af7b97094b625ff4b26d083d45a31bd06724659ebe6399533f2ea192
+size 851
diff --git a/models/loan_model.joblib b/models/loan_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..30cfeac48b077938e29b01223b726bd92fc311f8
--- /dev/null
+++ b/models/loan_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25fd317c244ebcdaf47c6089b3a9b05f1ccf5137404e35bf0ec356ca31c4f485
+size 2165785
diff --git a/models/loan_model.pkl b/models/loan_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..bbb31a4c5e39ffb642c4613dc33463ef48bda0e8
--- /dev/null
+++ b/models/loan_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46a765a3d7ce99cdb9272aff9fc7713111a9824d5e0a3124ac1449830e53ff0b
+size 132
diff --git a/models/loan_scaler.joblib b/models/loan_scaler.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..ca00f851b8add2ed2222d55898b60f4d93517e07
--- /dev/null
+++ b/models/loan_scaler.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f25fe285c0c75d8fb7bda6063f774fd926150440b63644807f6552e080df5717
+size 1311
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6c690422e80dd4cc448a4699bede31068c1cc3d8
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diff --git a/roadmap.txt b/roadmap.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3cd23d032e0e3e9f2c79ea0e760b34a681dfbe6c
--- /dev/null
+++ b/roadmap.txt
@@ -0,0 +1,77 @@
+🚀 Project Title: XAI-Assist – Explainable AI for Critical Decision Support
+🎯 Problem Statement
+In high-stakes fields like Healthcare, Finance, and Legal Tech, AI-driven decisions can be black-boxed and hard to trust. Professionals (doctors, loan officers, lawyers) need a transparent AI system that provides clear, human-readable explanations for its decisions.
+
+✅ Objective
+Develop an Explainable AI decision support system that:
+
+Makes predictions (diagnosis, loan approval, legal outcomes).
+
+Explains why it made that decision using visual + textual insights.
+
+Allows experts to tweak or simulate decisions based on feature changes.
+
+💡 Project Scope & Use Cases
+Pick one of these (or build a general framework):
+
+Domain	Use Case	Example Prediction
+🏥 Healthcare	Disease Risk Prediction	"Will this patient develop diabetes in 5 years?"
+💰 Finance	Loan Approval System	"Should this applicant get a loan?"
+⚖️ Legal Tech	Case Outcome Prediction	"Will the court rule in favor of the defendant?"
+🔍 Core Features
+🔹 1. Model Transparency & Explainability
+Use SHAP, LIME, or RuleFit to explain AI predictions.
+
+Generate visual feature importance charts (SHAP force plots, waterfall plots).
+
+Provide natural language explanations like:
+"Loan denied due to low income ($20k), high debt-to-income ratio (40%), and low credit score (580)."
+
+🔹 2. Interactive "What-If" Analysis
+Allow users to change feature values and see how decisions change.
+
+Example: "If the income was $30k instead of $20k, the loan would have been approved."
+
+🔹 3. Comparative Decision Insights
+Compare two similar cases with different outcomes and highlight why.
+
+Example (Loan Application):
+
+Applicant A (Denied): Income = $20k, Credit Score = 580
+
+Applicant B (Approved): Income = $50k, Credit Score = 720
+
+Key Insight: Income and credit score had the biggest impact.
+
+🔹 4. Trust Score & Human Override System
+Show a Trust Score (how confident the AI is in its decision).
+
+Allow human experts to override AI decisions and provide a reason.
+
+Store overrides for model auditing and bias detection.
+
+⚙️ Tech Stack
+Component	Tech
+💻 Frontend	Streamlit / ReactJS for UI
+🧠 AI Model	Random Forest, XGBoost, or Neural Networks
+🔎 Explainability	SHAP, LIME, ELI5, Fairlearn
+📊 Visualization	Matplotlib, Plotly, SHAP force plots
+📦 Database	PostgreSQL / Firebase (for saving decisions & overrides)
+🎯 Why This Can Win the Hackathon
+✅ Highly relevant & ethical – Explainability is a hot topic in AI.
+✅ Real-world impact – Can be applied in multiple critical sectors.
+✅ Great UI & Visuals – Judges love interactive dashboards & visual explanations.
+✅ Customizable & expandable – Can work in healthcare, finance, or law.
+
+🎁 Bonus Features (If Time Allows)
+🚀 Bias Detection: Show if certain groups (e.g., women, minorities) are unfairly impacted.
+🚀 Explainable Chatbot: An AI chatbot that explains decisions interactively.
+🚀 PDF Report Generator: Generate a summary report of decisions and explanations.
+
+💬 Next Steps
+Do you want help with:
+✅ Setting up a GitHub repo with boilerplate code?
+✅ Designing an interactive UI mockup?
+✅ Choosing a specific use-case (health, finance, law)?
+
+I can help you with any of these! 🚀
\ No newline at end of file
diff --git a/src/__init__.py b/src/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0fa346802a6a1b66c182d8da3f2451069997a48c
--- /dev/null
+++ b/src/__init__.py
@@ -0,0 +1,4 @@
+"""
+Source package for the Synthack project.
+Contains the main application code, API endpoints, and data processing modules.
+""" 
\ No newline at end of file
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--- /dev/null
+++ b/src/__pycache__/train_loan_model.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/src/api/__init__.py b/src/api/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..299fae265db436d7574233229aed6d70593a9362
--- /dev/null
+++ b/src/api/__init__.py
@@ -0,0 +1,4 @@
+"""
+API package for the Synthack project.
+Contains FastAPI endpoints and related functionality.
+""" 
\ No newline at end of file
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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@@ -0,0 +1,3 @@
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+version https://git-lfs.github.com/spec/v1
+oid sha256:8777d13738753e6004ddc456fae2ff9dcf2de253244ba3e99983f7e337d2fb35
+size 16941
diff --git a/src/api/attrition_model.py b/src/api/attrition_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..4002002368a3d22664596f15d266242e79038dee
--- /dev/null
+++ b/src/api/attrition_model.py
@@ -0,0 +1,243 @@
+import pandas as pd
+import numpy as np
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import StandardScaler, OneHotEncoder
+from sklearn.compose import ColumnTransformer
+from sklearn.pipeline import Pipeline
+from sklearn.ensemble import RandomForestClassifier
+import pickle
+import os
+import sys
+from typing import List
+
+# Add the project root to Python path
+project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))
+sys.path.append(project_root)
+
+class AttritionModel:
+    def __init__(self):
+        self.model = None
+        self.preprocessor = None
+        self.model_path = os.path.join(project_root, "models", "attrition_model.pkl")
+        self.preprocessor_path = os.path.join(project_root, "models", "attrition_preprocessor.pkl")
+        
+        # Create models directory if it doesn't exist
+        os.makedirs(os.path.dirname(self.model_path), exist_ok=True)
+        
+        # Define the features we'll use
+        self.numeric_features = [
+            'Age', 'DistanceFromHome', 'EnvironmentSatisfaction',
+            'JobLevel', 'JobSatisfaction', 'MonthlyIncome',
+            'TotalWorkingYears', 'WorkLifeBalance', 'YearsAtCompany'
+        ]
+        self.categorical_features = ['OverTime']
+        
+        # Try to load existing model and preprocessor
+        try:
+            with open(self.model_path, 'rb') as f:
+                self.model = pickle.load(f)
+            with open(self.preprocessor_path, 'rb') as f:
+                self.preprocessor = pickle.load(f)
+        except:
+            print("No existing model found. Please train the model first.")
+    
+    def preprocess_data(self, X):
+        """Preprocess the input data"""
+        # Create preprocessing steps for numeric and categorical data
+        numeric_transformer = StandardScaler()
+        categorical_transformer = OneHotEncoder(drop='first', sparse=False)
+        
+        # Combine preprocessing steps
+        self.preprocessor = ColumnTransformer(
+            transformers=[
+                ('num', numeric_transformer, self.numeric_features),
+                ('cat', categorical_transformer, self.categorical_features)
+            ],
+            remainder='drop'  # Drop any columns not specified in features
+        )
+        
+        return self.preprocessor.fit_transform(X)
+    
+    def train(self, X, y):
+        """Train the model with the given data"""
+        # Preprocess the data
+        X_processed = self.preprocess_data(X)
+        
+        # Create and train the model
+        self.model = RandomForestClassifier(
+            n_estimators=100,
+            max_depth=10,
+            random_state=42
+        )
+        self.model.fit(X_processed, y)
+        
+        # Save the model and preprocessor
+        with open(self.model_path, 'wb') as f:
+            pickle.dump(self.model, f)
+        with open(self.preprocessor_path, 'wb') as f:
+            pickle.dump(self.preprocessor, f)
+    
+    def predict(self, features):
+        """Make a prediction using the trained model."""
+        try:
+            if self.model is None:
+                raise ValueError("Model not loaded. Please ensure model file exists and is valid.")
+            
+            print(f"Input features: {features}")
+            
+            # Convert string inputs to appropriate types
+            processed_features = {}
+            for key, value in features.items():
+                if key == 'OverTime':
+                    # Convert 'Yes'/'No' to 1/0
+                    if isinstance(value, str):
+                        processed_features[key] = 1 if value.lower() in ['yes', 'true', '1'] else 0
+                    else:
+                        processed_features[key] = 1 if value else 0
+                else:
+                    # Convert other values to appropriate numeric types
+                    try:
+                        processed_features[key] = float(value)
+                    except (ValueError, TypeError):
+                        # Handle conversion errors
+                        raise ValueError(f"Invalid value for feature {key}: {value}. Expected numeric value.")
+            
+            print(f"Processed features: {processed_features}")
+            
+            # Create DataFrame with processed values
+            X = pd.DataFrame([processed_features])
+            
+            # Ensure all required columns are present
+            required_columns = self.numeric_features + self.categorical_features
+            
+            for col in required_columns:
+                if col not in X.columns:
+                    raise ValueError(f"Missing required feature: {col}")
+            
+            # Ensure columns are in the correct order for the preprocessor
+            X = X[required_columns]
+            
+            # Debug information
+            print(f"Input data types before conversion: {X.dtypes}")
+            
+            # Convert all numeric columns to float64
+            for col in self.numeric_features:
+                X[col] = pd.to_numeric(X[col], errors='coerce').astype(np.float64)
+            
+            # Convert categorical columns to appropriate types
+            for col in self.categorical_features:
+                X[col] = X[col].astype(np.int64)
+            
+            print(f"Input data types after conversion: {X.dtypes}")
+            print(f"Input data: {X.to_dict('records')}")
+            
+            # Check for NaN values
+            if X.isnull().any().any():
+                print(f"Warning: NaN values detected in input: {X.isnull().sum()}")
+                # Fill NaN values with appropriate defaults
+                X = X.fillna(X.mean())
+            
+            # Use preprocessor
+            if self.preprocessor is not None:
+                try:
+                    X_processed = self.preprocessor.transform(X)
+                    print("Preprocessing successful")
+                except Exception as e:
+                    print(f"Error during preprocessing: {str(e)}")
+                    # Try direct prediction without preprocessing as fallback
+                    try:
+                        # For direct prediction, we need to handle categorical features manually
+                        # Convert 'OverTime' to one-hot encoding manually
+                        X_direct = X.copy()
+                        X_direct['OverTime_Yes'] = X_direct['OverTime']
+                        X_direct = X_direct.drop('OverTime', axis=1)
+                        
+                        # Make prediction with direct features
+                        prediction = bool(self.model.predict(X_direct.values)[0])
+                        probability = float(self.model.predict_proba(X_direct.values)[0][1])
+                        
+                        print("Used direct prediction as fallback")
+                        return {
+                            "prediction": prediction,
+                            "probability": probability
+                        }
+                    except Exception as direct_error:
+                        print(f"Direct prediction also failed: {str(direct_error)}")
+                        raise ValueError(f"Failed to process input data: {str(e)}")
+            else:
+                # If no preprocessor, just use the raw values
+                X_processed = X.values
+                print("No preprocessor available, using raw values")
+            
+            # Make prediction
+            prediction = bool(self.model.predict(X_processed)[0])
+            probability = float(self.model.predict_proba(X_processed)[0][1])
+            
+            print(f"Prediction result: {prediction}, probability: {probability}")
+            
+            return {
+                "prediction": prediction,
+                "probability": probability
+            }
+            
+        except Exception as e:
+            import traceback
+            traceback.print_exc()
+            raise ValueError(f"Error during prediction: {str(e)}")
+
+    def get_feature_importance(self) -> List[float]:
+        """Get the feature importance scores as a list of floats."""
+        try:
+            if hasattr(self.model, 'feature_importances_'):
+                # Convert feature importances to a list of floats
+                return [float(x) for x in self.model.feature_importances_]
+            return None
+        except Exception as e:
+            print(f"Error getting feature importance: {str(e)}")
+            return None
+
+def train_model():
+    """Train and save the attrition prediction model"""
+    try:
+        model = AttritionModel()
+        
+        # Get absolute paths
+        current_dir = os.path.dirname(os.path.abspath(__file__))
+        project_root = os.path.dirname(os.path.dirname(current_dir))
+        data_file = os.path.join(project_root, "data", "HR-Employee-Attrition.csv")
+        model_dir = os.path.join(project_root, 'models')
+        
+        print(f"Loading data from: {data_file}")
+        print(f"Model will be saved to: {model_dir}")
+        
+        # Ensure data file exists
+        if not os.path.exists(data_file):
+            raise FileNotFoundError(f"Data file not found at {data_file}")
+        
+        # Create models directory if it doesn't exist
+        os.makedirs(model_dir, exist_ok=True)
+        
+        # Load data
+        print("Loading and preparing data...")
+        data = pd.read_csv(data_file)
+        
+        # Select only the features we want to use
+        features = model.numeric_features + model.categorical_features
+        print(f"Using features: {features}")
+        
+        X = data[features]
+        y = data['Attrition'].map({'Yes': 1, 'No': 0})
+        
+        # Train the model
+        print("Training model...")
+        model.train(X, y)
+        print("Model trained and saved successfully")
+        
+    except Exception as e:
+        print(f"Error during model training: {str(e)}")
+        import traceback
+        print(traceback.format_exc())
+        sys.exit(1)
+
+if __name__ == "__main__":
+    train_model()
\ No newline at end of file
diff --git a/src/api/diabetes_model.py b/src/api/diabetes_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..a0607a265b0dadd04c3626dae456759a27435c8b
--- /dev/null
+++ b/src/api/diabetes_model.py
@@ -0,0 +1,320 @@
+import pandas as pd
+import numpy as np
+import pickle
+import os
+import sys
+import logging
+from sklearn.preprocessing import StandardScaler
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.model_selection import train_test_split
+from typing import List
+
+logger = logging.getLogger(__name__)
+
+class DiabetesModel:
+    def __init__(self):
+        self.model = None
+        self.scaler = None
+        self.feature_names = None
+        self.model_metrics = None
+        
+        # Get the project root directory
+        self.project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+        
+        # Set paths for model files
+        self.model_path = os.path.join(self.project_root, 'models', 'diabetes_model.pkl')
+        self.feature_names_path = os.path.join(self.project_root, 'models', 'diabetes_feature_names.pkl')
+        self.model_metrics_path = os.path.join(self.project_root, 'models', 'diabetes_model_metrics.pkl')
+        
+        # Default feature names if not loaded from file
+        self.default_feature_names = [
+            'Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness',
+            'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age'
+        ]
+        
+        # Initialize feature names first
+        self.feature_names = self.default_feature_names
+        
+        # Load the model and related files
+        self.load_model()
+
+    def load_model(self):
+        """Load the trained model and related files from disk."""
+        try:
+            # Try to load feature names first
+            if os.path.exists(self.feature_names_path):
+                try:
+                    with open(self.feature_names_path, 'rb') as f:
+                        self.feature_names = pickle.load(f, encoding='latin1')
+                        logger.info("Feature names loaded successfully")
+                except Exception as e:
+                    logger.warning(f"Error loading feature names: {str(e)}. Using defaults.")
+                    self.feature_names = self.default_feature_names
+            else:
+                logger.warning("Feature names file not found, using defaults")
+                self.feature_names = self.default_feature_names
+        
+            # Try to load the model
+            if os.path.exists(self.model_path):
+                try:
+                    with open(self.model_path, 'rb') as f:
+                        model_data = pickle.load(f, encoding='latin1')
+                        if isinstance(model_data, dict):
+                            self.model = model_data.get('model')
+                            self.scaler = model_data.get('scaler')
+                            if self.model is None or self.scaler is None:
+                                raise ValueError("Model or scaler missing from loaded data")
+                        else:
+                            self.model = model_data
+                            # Create a new scaler if not found in model data
+                            self.scaler = StandardScaler()
+                            logger.warning("Model loaded but scaler not found. Creating new scaler.")
+                    logger.info("Model loaded successfully")
+                except Exception as e:
+                    logger.error(f"Error loading model: {str(e)}")
+                    raise ValueError(f"Failed to load diabetes model: {str(e)}")
+            else:
+                logger.error("Model file not found.")
+                raise FileNotFoundError(f"Diabetes model file not found at {self.model_path}")
+        
+            # Try to load model metrics
+            if os.path.exists(self.model_metrics_path):
+                try:
+                    with open(self.model_metrics_path, 'rb') as f:
+                        self.model_metrics = pickle.load(f, encoding='latin1')
+                        logger.info("Model metrics loaded successfully")
+                except Exception as e:
+                    logger.warning(f"Error loading model metrics: {str(e)}")
+                    self.model_metrics = None
+            else:
+                logger.warning("Model metrics file not found")
+                self.model_metrics = None
+        except Exception as e:
+            logger.error(f"Error in load_model: {str(e)}")
+            raise ValueError(f"Failed to load diabetes model: {str(e)}")
+    
+    # Remove the _create_dummy_model method entirely
+    def _create_dummy_model(self):
+        """Create a dummy model for testing purposes."""
+        try:
+            logger.warning("Creating dummy model")
+            self.model = RandomForestClassifier(n_estimators=100, random_state=42)
+            self.scaler = StandardScaler()
+            
+            # Create dummy data to fit the scaler and model
+            dummy_data = pd.DataFrame(np.random.randn(100, len(self.feature_names)), 
+                                    columns=self.feature_names)
+            self.scaler.fit(dummy_data)
+            
+            # Fit the model with dummy data
+            dummy_target = np.random.randint(0, 2, 100)
+            self.model.fit(dummy_data, dummy_target)
+            logger.info("Dummy model created successfully")
+        except Exception as e:
+            logger.error(f"Error creating dummy model: {str(e)}")
+            raise
+
+    def save_model(self):
+        """Save the model and scaler together in one file."""
+        try:
+            # Create a dictionary containing both model and scaler
+            model_data = {
+                'model': self.model,
+                'scaler': self.scaler
+            }
+            
+            # Save to file
+            with open(self.model_path, 'wb') as f:
+                pickle.dump(model_data, f)
+            logger.info("Model and scaler saved successfully")
+            
+        except Exception as e:
+            logger.error(f"Error saving model: {str(e)}")
+            raise
+
+    def predict(self, features):
+        """Make a prediction using the trained model."""
+        try:
+            if self.model is None:
+                raise ValueError("Model not loaded. Please ensure model file exists and is valid.")
+            
+            print(f"Input features for diabetes prediction: {features}")
+            
+            # Convert string inputs to appropriate numeric types
+            processed_features = {}
+            for key, value in features.items():
+                try:
+                    processed_features[key] = float(value)
+                except (ValueError, TypeError):
+                    # Handle conversion errors
+                    raise ValueError(f"Invalid value for feature {key}: {value}. Expected numeric value.")
+            
+            # Create DataFrame with processed values
+            X = pd.DataFrame([processed_features])
+            
+            # Ensure all required columns are present
+            required_columns = [
+                'Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 
+                'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age'
+            ]
+            
+            for col in required_columns:
+                if col not in X.columns:
+                    raise ValueError(f"Missing required feature: {col}")
+            
+            # Ensure columns are in the correct order
+            X = X[required_columns]
+            
+            # Convert all data to float64 to ensure compatibility
+            X = X.astype(float)
+            
+            # Scale features if scaler is available
+            if hasattr(self, 'scaler') and self.scaler is not None:
+                X_scaled = self.scaler.transform(X)
+            else:
+                X_scaled = X.values
+            
+            # Make prediction
+            prediction = bool(self.model.predict(X_scaled)[0])
+            
+            # Get probability - handle different model types
+            if hasattr(self.model, 'predict_proba'):
+                # For models that provide probability
+                proba = self.model.predict_proba(X_scaled)[0]
+                # Make sure we get the probability for the positive class (index 1)
+                probability = float(proba[1]) if len(proba) > 1 else float(proba[0])
+            else:
+                # For models that don't provide probability
+                probability = 0.5 + (float(self.model.decision_function(X_scaled)[0]) / 10)
+                probability = max(0, min(1, probability))  # Clamp between 0 and 1
+            
+            return {
+                "prediction": prediction,
+                "probability": probability
+            }
+            
+        except Exception as e:
+            import traceback
+            traceback.print_exc()
+            raise ValueError(f"Error during prediction: {str(e)}")
+
+    def get_feature_importance(self) -> List[float]:
+        """Get the feature importance scores as a list of floats."""
+        try:
+            if hasattr(self.model, 'feature_importances_'):
+                # Convert feature importances to a list of floats
+                importances = [float(x) for x in self.model.feature_importances_]
+                # Ensure we have the same number of importances as features
+                if len(importances) == len(self.feature_names):
+                    return importances
+            # If we can't get valid feature importances, return None
+            logger.warning("Could not get valid feature importances")
+            return None
+        except Exception as e:
+            logger.error(f"Error getting feature importance: {str(e)}")
+            return None
+
+    def get_model_metrics(self):
+        """Get the model metrics."""
+        return self.model_metrics if self.model_metrics else None
+
+    def train_model(self, X, y):
+        """Train the model with the given data."""
+        try:
+            logger.info("Starting model training...")
+            
+            # Initialize the scaler and scale the features
+            self.scaler = StandardScaler()
+            X_scaled = self.scaler.fit_transform(X)
+            
+            # Initialize and train the model
+            self.model = RandomForestClassifier(
+                n_estimators=100,
+                max_depth=10,
+                random_state=42
+            )
+            self.model.fit(X_scaled, y)
+            
+            # Calculate and store model metrics
+            train_score = self.model.score(X_scaled, y)
+            feature_importance = self.model.feature_importances_
+            
+            self.model_metrics = {
+                'train_score': train_score,
+                'feature_importance': feature_importance.tolist()
+            }
+            
+            # Save the model, scaler, and metrics
+            self.save_model()
+            self.save_metrics()
+            self.save_feature_names()
+            
+            logger.info(f"Model trained successfully. Training score: {train_score:.4f}")
+            return True
+            
+        except Exception as e:
+            logger.error(f"Error in train_model: {str(e)}")
+            raise
+
+    def save_metrics(self):
+        """Save model metrics to file."""
+        try:
+            with open(self.model_metrics_path, 'wb') as f:
+                pickle.dump(self.model_metrics, f)
+            logger.info("Model metrics saved successfully")
+        except Exception as e:
+            logger.error(f"Error saving model metrics: {str(e)}")
+            raise
+
+    def save_feature_names(self):
+        """Save feature names to file."""
+        try:
+            with open(self.feature_names_path, 'wb') as f:
+                pickle.dump(self.feature_names, f)
+            logger.info("Feature names saved successfully")
+        except Exception as e:
+            logger.error(f"Error saving feature names: {str(e)}")
+            raise
+
+def train_model():
+    """Train and save the diabetes prediction model"""
+    try:
+        model = DiabetesModel()
+        
+        # Get absolute paths
+        current_dir = os.path.dirname(os.path.abspath(__file__))
+        project_root = os.path.dirname(os.path.dirname(current_dir))
+        data_file = os.path.join(project_root, "data", "diabetes.csv")
+        model_dir = os.path.join(project_root, 'models')
+        
+        print(f"Loading data from: {data_file}")
+        print(f"Model will be saved to: {model_dir}")
+        
+        # Ensure data file exists
+        if not os.path.exists(data_file):
+            raise FileNotFoundError(f"Data file not found at {data_file}")
+        
+        # Create models directory if it doesn't exist
+        os.makedirs(model_dir, exist_ok=True)
+        
+        # Load data
+        print("Loading and preparing data...")
+        data = pd.read_csv(data_file)
+        
+        # Select features and target
+        X = data[model.feature_names]
+        y = data['Outcome']
+        
+        # Train the model
+        print("Training model...")
+        model.train_model(X, y)
+        print("Model trained and saved successfully")
+        
+    except Exception as e:
+        print(f"Error during model training: {str(e)}")
+        import traceback
+        print(traceback.format_exc())
+        sys.exit(1)
+
+if __name__ == "__main__":
+    train_model()
\ No newline at end of file
diff --git a/src/api/liver_disease_model.py b/src/api/liver_disease_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..523c18c8f7a1769902b4ebf58e9276b850b7dd67
--- /dev/null
+++ b/src/api/liver_disease_model.py
@@ -0,0 +1,266 @@
+import pandas as pd
+import numpy as np
+import pickle
+import os
+import sys
+import logging
+from sklearn.preprocessing import StandardScaler
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.model_selection import train_test_split
+from typing import List, Dict, Any
+
+logger = logging.getLogger(__name__)
+
+class LiverDiseaseModel:
+    def __init__(self):
+        self.model = None
+        self.scaler = None
+        self.feature_names = None
+        
+        # Get the project root directory
+        self.project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+        
+        # Set paths for model files
+        self.model_path = os.path.join(self.project_root, 'models', 'liver_disease_model.pkl')
+        
+        # Default feature names
+        self.default_feature_names = [
+            'Age', 'Gender', 'Total_Bilirubin', 'Direct_Bilirubin', 
+            'Alkaline_Phosphotase', 'Alamine_Aminotransferase', 
+            'Aspartate_Aminotransferase', 'Total_Protiens', 
+            'Albumin', 'Albumin_and_Globulin_Ratio'
+        ]
+        
+        # Initialize feature names
+        self.feature_names = self.default_feature_names
+        
+        # Create models directory if it doesn't exist
+        os.makedirs(os.path.dirname(self.model_path), exist_ok=True)
+        
+        # Load the model or create a dummy one if not found
+        self.load_model()
+
+    def load_model(self):
+        """Load the trained model from disk."""
+        try:
+            if os.path.exists(self.model_path):
+                with open(self.model_path, 'rb') as f:
+                    try:
+                        model_data = pickle.load(f, encoding='latin1')
+                        if isinstance(model_data, dict):
+                            self.model = model_data.get('model')
+                            self.scaler = model_data.get('scaler')
+                            if self.model is None or self.scaler is None:
+                                raise ValueError("Model or scaler missing from loaded data")
+                        else:
+                            self.model = model_data
+                            # Create a new scaler if not found in model data
+                            self.scaler = StandardScaler()
+                        logger.info("Liver disease model loaded successfully")
+                    except Exception as inner_e:
+                        logger.error(f"Error during pickle load: {str(inner_e)}")
+                        raise ValueError(f"Failed to load liver disease model: {str(inner_e)}")
+            else:
+                raise FileNotFoundError(f"Liver disease model file not found at {self.model_path}")
+        except Exception as e:
+            logger.error(f"Error loading liver disease model: {str(e)}")
+            raise ValueError(f"Failed to load liver disease model: {str(e)}")
+
+    # Remove the _create_dummy_model method entirely
+
+    def _create_dummy_model(self):
+        """Create a dummy model for testing purposes."""
+        try:
+            logger.warning("Creating dummy liver disease model")
+            self.model = RandomForestClassifier(n_estimators=100, random_state=42)
+            self.scaler = StandardScaler()
+            
+            # Create dummy data to fit the scaler and model
+            dummy_data = pd.DataFrame(np.random.randn(100, len(self.feature_names)), 
+                                    columns=self.feature_names)
+            self.scaler.fit(dummy_data)
+            
+            # Fit the model with dummy data
+            dummy_target = np.random.randint(0, 2, 100)
+            self.model.fit(dummy_data, dummy_target)
+            
+            # Save the dummy model
+            self.save_model()
+            
+            logger.info("Dummy liver disease model created and saved successfully")
+        except Exception as e:
+            logger.error(f"Error creating dummy liver disease model: {str(e)}")
+            raise
+
+    def save_model(self):
+        """Save the model and scaler together in one file."""
+        try:
+            # Create a dictionary containing both model and scaler
+            model_data = {
+                'model': self.model,
+                'scaler': self.scaler
+            }
+            
+            # Save to file
+            with open(self.model_path, 'wb') as f:
+                pickle.dump(model_data, f)
+            logger.info("Liver disease model and scaler saved successfully")
+            
+        except Exception as e:
+            logger.error(f"Error saving liver disease model: {str(e)}")
+            raise
+
+    def predict(self, features: Dict[str, Any]) -> Dict[str, Any]:
+        """Make a prediction using the trained model."""
+        try:
+            if self.model is None:
+                raise ValueError(f"Model not loaded. Please ensure model file exists at {self.model_path} and is valid.")
+            
+            print(f"Input features for liver disease prediction: {features}")
+            
+            # Convert string inputs to appropriate numeric types
+            processed_features = {}
+            for key, value in features.items():
+                if key == 'Gender':
+                    # Convert 'Male'/'Female' to 1/0
+                    if isinstance(value, str):
+                        processed_features[key] = 1 if value.lower() in ['male', 'm', '1'] else 0
+                    else:
+                        processed_features[key] = 1 if value else 0
+                else:
+                    # Convert other values to appropriate numeric types
+                    try:
+                        processed_features[key] = float(value)
+                    except (ValueError, TypeError):
+                        # Handle conversion errors
+                        raise ValueError(f"Invalid value for feature {key}: {value}. Expected numeric value.")
+            
+            # Create DataFrame with processed values
+            X = pd.DataFrame([processed_features])
+            
+            # Ensure all required columns are present
+            for col in self.feature_names:
+                if col not in X.columns:
+                    raise ValueError(f"Missing required feature: {col}")
+            
+            # Ensure columns are in the correct order
+            X = X[self.feature_names]
+            
+            # Convert all data to float64 to ensure compatibility
+            X = X.astype(float)
+            
+            # Scale features
+            X_scaled = self.scaler.transform(X)
+            
+            # Make prediction
+            prediction = bool(self.model.predict(X_scaled)[0])
+            
+            # Get probability
+            if hasattr(self.model, 'predict_proba'):
+                proba = self.model.predict_proba(X_scaled)[0]
+                probability = float(proba[1]) if len(proba) > 1 else float(proba[0])
+            else:
+                probability = 0.5 + (float(self.model.decision_function(X_scaled)[0]) / 10)
+                probability = max(0, min(1, probability))  # Clamp between 0 and 1
+            
+            return {
+                "prediction": prediction,
+                "probability": probability
+            }
+            
+        except Exception as e:
+            import traceback
+            traceback.print_exc()
+            raise ValueError(f"Error during prediction: {str(e)}")
+
+    def train_model(self, X, y):
+        """Train the model with the given data."""
+        try:
+            logger.info("Starting liver disease model training...")
+            
+            # Initialize the scaler and scale the features
+            self.scaler = StandardScaler()
+            X_scaled = self.scaler.fit_transform(X)
+            
+            # Initialize and train the model
+            self.model = RandomForestClassifier(
+                n_estimators=100,
+                max_depth=10,
+                random_state=42
+            )
+            self.model.fit(X_scaled, y)
+            
+            # Save the model and scaler
+            self.save_model()
+            
+            logger.info("Liver disease model trained successfully")
+            return True
+            
+        except Exception as e:
+            logger.error(f"Error in train_model: {str(e)}")
+            raise
+
+    def get_feature_importance(self):
+        """Return feature importance values from the model."""
+        try:
+            if self.model is None:
+                logger.warning("Model not loaded, cannot get feature importance")
+                return None
+                
+            # For RandomForestClassifier, we can get feature importance directly
+            if hasattr(self.model, 'feature_importances_'):
+                # Return the feature importances as a list
+                return self.model.feature_importances_.tolist()
+            else:
+                # Create dummy feature importance if not available
+                logger.warning("Feature importance not available in model, returning dummy values")
+                return [0.15, 0.05, 0.12, 0.08, 0.18, 0.14, 0.10, 0.08, 0.06, 0.04]
+        except Exception as e:
+            logger.error(f"Error getting feature importance: {str(e)}")
+            # Return dummy values as fallback
+            return [0.15, 0.05, 0.12, 0.08, 0.18, 0.14, 0.10, 0.08, 0.06, 0.04]
+
+def train_model():
+    """Train and save the liver disease prediction model"""
+    try:
+        model = LiverDiseaseModel()
+        
+        # Get absolute paths
+        current_dir = os.path.dirname(os.path.abspath(__file__))
+        project_root = os.path.dirname(os.path.dirname(current_dir))
+        data_file = os.path.join(project_root, "data", "indian_liver_patient.csv")
+        
+        print(f"Loading data from: {data_file}")
+        print(f"Model will be saved to: {model.model_path}")
+        
+        # Ensure data file exists
+        if not os.path.exists(data_file):
+            raise FileNotFoundError(f"Data file not found at {data_file}")
+        
+        # Load data
+        print("Loading and preparing data...")
+        data = pd.read_csv(data_file)
+        
+        # Preprocess data
+        data['Gender'] = data['Gender'].map({'Male': 1, 'Female': 0})
+        
+        # Handle missing values
+        data = data.fillna(data.median())
+        
+        # Select features and target
+        X = data[model.feature_names]
+        y = data['Dataset']  # Assuming 'Dataset' is the target column
+        
+        # Train the model
+        print("Training model...")
+        model.train_model(X, y)
+        print("Model trained and saved successfully")
+        
+    except Exception as e:
+        print(f"Error during model training: {str(e)}")
+        import traceback
+        print(traceback.format_exc())
+        sys.exit(1)
+
+if __name__ == "__main__":
+    train_model()
\ No newline at end of file
diff --git a/src/api/liver_model.py b/src/api/liver_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..9cfc630084aac3c9a6b5a2d17a9c4b078436de4f
--- /dev/null
+++ b/src/api/liver_model.py
@@ -0,0 +1,146 @@
+import pandas as pd
+import numpy as np
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import StandardScaler
+from sklearn.ensemble import RandomForestClassifier
+import joblib
+import os
+import sys
+import pickle
+
+# Add the project root to Python path
+project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))
+sys.path.append(project_root)
+
+class LiverDiseaseModel:
+    # In the __init__ method, add more detailed error handling
+    def __init__(self):
+        self.model = None
+        self.scaler = None
+        self.model_path = os.path.join(project_root, "models", "liver_model.joblib")
+        self.scaler_path = os.path.join(project_root, "models", "liver_scaler.joblib")
+        self.pkl_model_path = os.path.join(project_root, "models", "liver_disease_model.pkl")
+        
+        # Create models directory if it doesn't exist
+        os.makedirs(os.path.dirname(self.model_path), exist_ok=True)
+        
+        print(f"Looking for model at: {self.pkl_model_path}")
+        
+        # Try to load model and scaler in this order:
+        # 1. First try the .pkl file
+        # 2. Then try the .joblib files
+        if os.path.exists(self.pkl_model_path):
+            try:
+                print(f"Loading model from {self.pkl_model_path}")
+                with open(self.pkl_model_path, 'rb') as f:
+                    model_data = pickle.load(f)
+                    
+                # Check if the loaded data is a dictionary containing both model and scaler
+                if isinstance(model_data, dict):
+                    self.model = model_data.get('model')
+                    self.scaler = model_data.get('scaler')
+                    print("Successfully loaded model and scaler from .pkl file")
+                else:
+                    # If it's just the model
+                    self.model = model_data
+                    print("Loaded model from .pkl file, but no scaler found")
+                    
+                    # Try to load scaler separately if it exists
+                    if os.path.exists(self.scaler_path):
+                        self.scaler = joblib.load(self.scaler_path)
+                        print("Loaded scaler from .joblib file")
+                    else:
+                        # Create a default scaler if none exists
+                        print("No scaler found, creating a default StandardScaler")
+                        self.scaler = StandardScaler()
+            except Exception as e:
+                print(f"Error loading model from .pkl file: {str(e)}")
+                import traceback
+                print(traceback.format_exc())
+        else:
+            print(f"Model file not found at: {self.pkl_model_path}")
+    
+    def train(self, X, y):
+        """Train the model on the provided data"""
+        # Split the data
+        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+        
+        # Initialize and fit the scaler
+        self.scaler = StandardScaler()
+        X_train_scaled = self.scaler.fit_transform(X_train)
+        
+        # Initialize and train the model
+        self.model = RandomForestClassifier(
+            n_estimators=100,
+            max_depth=10,
+            random_state=42
+        )
+        self.model.fit(X_train_scaled, y_train)
+        
+        # Save the model and scaler in both formats
+        joblib.dump(self.model, self.model_path)
+        joblib.dump(self.scaler, self.scaler_path)
+        
+        # Also save as .pkl for compatibility
+        with open(self.pkl_model_path, 'wb') as f:
+            pickle.dump({'model': self.model, 'scaler': self.scaler}, f)
+        
+        # Evaluate on test set
+        X_test_scaled = self.scaler.transform(X_test)
+        test_score = self.model.score(X_test_scaled, y_test)
+        return test_score
+    
+    def predict(self, features):
+        """Make a prediction for the given features"""
+        if self.model is None:
+            raise ValueError(f"Model not loaded. Please ensure model file exists at {self.pkl_model_path} and is valid.")
+        
+        if self.scaler is None:
+            print("Warning: No scaler found. Using raw features without scaling.")
+        
+        # Convert features to DataFrame
+        feature_names = ['Age', 'Gender', 'Total_Bilirubin', 'Direct_Bilirubin', 
+                        'Alkaline_Phosphotase', 'Alamine_Aminotransferase', 
+                        'Aspartate_Aminotransferase', 'Total_Protiens', 
+                        'Albumin', 'Albumin_and_Globulin_Ratio']
+        
+        # Create a DataFrame with the features in the correct order
+        df = pd.DataFrame([features], columns=feature_names)
+        
+        # Scale the features if scaler is available
+        if self.scaler is not None:
+            try:
+                X_scaled = self.scaler.transform(df)
+            except Exception as e:
+                print(f"Error scaling features: {str(e)}. Using raw features.")
+                X_scaled = df.values
+        else:
+            X_scaled = df.values
+        
+        # Make prediction
+        try:
+            prediction = bool(self.model.predict(X_scaled)[0])
+            probability = float(self.model.predict_proba(X_scaled)[0][1])
+        except Exception as e:
+            print(f"Error making prediction: {str(e)}")
+            import traceback
+            print(traceback.format_exc())
+            raise ValueError(f"Error making prediction: {str(e)}")
+        
+        return {
+            "prediction": prediction,
+            "probability": probability
+        }
+        
+    def get_feature_importance(self):
+        """Return feature importance if available"""
+        if self.model is None:
+            return None
+            
+        try:
+            # Get feature importance from the model
+            if hasattr(self.model, 'feature_importances_'):
+                return self.model.feature_importances_.tolist()
+            return None
+        except:
+            return None
\ No newline at end of file
diff --git a/src/api/loan_applications.db b/src/api/loan_applications.db
new file mode 100644
index 0000000000000000000000000000000000000000..db531f778d19c7cbd7cda9705df1b800bdcf2a48
--- /dev/null
+++ b/src/api/loan_applications.db
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67e6f8e8f669475cbf002fc9007f1f4f2560b2803cc63c43e2391b39ebd5a2cc
+size 102400
diff --git a/src/api/loan_model.py b/src/api/loan_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..806d05becd3b0e284cac45d575d34f1317ef0260
--- /dev/null
+++ b/src/api/loan_model.py
@@ -0,0 +1,288 @@
+import os
+import joblib
+import numpy as np
+import pandas as pd
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.preprocessing import StandardScaler, LabelEncoder
+import shap
+import logging
+from typing import Dict, Any, List, Optional, Tuple
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+class LoanApprovalModel:
+    """Loan approval model for predicting loan application outcomes."""
+    
+    def __init__(self, model_dir: str = "models", load_model: bool = True):
+        """Initialize the loan approval model.
+        
+        Args:
+            model_dir (str): Directory containing the trained model components
+            load_model (bool): Whether to load existing model components
+        """
+        self.model_dir = model_dir
+        self.model = None
+        self.scaler = StandardScaler()
+        self.feature_names = None
+        self.explainer = None
+        
+        # Initialize label encoders for categorical columns
+        self.categorical_columns = ['education', 'self_employed']
+        self.label_encoders = {}
+        for col in self.categorical_columns:
+            self.label_encoders[col] = LabelEncoder()
+        
+        # Load model components if requested
+        if load_model:
+            self.load_components()
+        
+    def load_components(self):
+        """Load the trained model and preprocessing components."""
+        try:
+            logger.info("Loading model components...")
+            
+            # Load model
+            model_path = os.path.join(self.model_dir, 'loan_model.joblib')
+            if not os.path.exists(model_path):
+                raise FileNotFoundError(f"Model file not found at {model_path}")
+            self.model = joblib.load(model_path)
+            
+            # Load scaler
+            scaler_path = os.path.join(self.model_dir, 'loan_scaler.joblib')
+            if not os.path.exists(scaler_path):
+                raise FileNotFoundError(f"Scaler file not found at {scaler_path}")
+            self.scaler = joblib.load(scaler_path)
+            
+            # Load label encoders
+            encoders_path = os.path.join(self.model_dir, 'loan_label_encoders.joblib')
+            if not os.path.exists(encoders_path):
+                raise FileNotFoundError(f"Label encoders file not found at {encoders_path}")
+            self.label_encoders = joblib.load(encoders_path)
+            
+            # Load feature names
+            features_path = os.path.join(self.model_dir, 'loan_feature_names.joblib')
+            if not os.path.exists(features_path):
+                raise FileNotFoundError(f"Feature names file not found at {features_path}")
+            self.feature_names = joblib.load(features_path)
+            
+            # Try to load explainer if available
+            explainer_path = os.path.join(self.model_dir, 'loan_explainer.joblib')
+            if os.path.exists(explainer_path):
+                self.explainer = joblib.load(explainer_path)
+            
+            logger.info("Model components loaded successfully")
+            
+        except Exception as e:
+            logger.error(f"Error loading model components: {str(e)}")
+            raise
+            
+    def save(self, output_dir: str = "models") -> None:
+        """Save model components to disk.
+        
+        Args:
+            output_dir (str): Directory to save model components
+        """
+        try:
+            os.makedirs(output_dir, exist_ok=True)
+            
+            # Save model
+            model_path = os.path.join(output_dir, "loan_model.joblib")
+            joblib.dump(self.model, model_path)
+            
+            # Save scaler
+            scaler_path = os.path.join(output_dir, "loan_scaler.joblib")
+            joblib.dump(self.scaler, scaler_path)
+            
+            # Save label encoders
+            encoders_path = os.path.join(output_dir, "loan_label_encoders.joblib")
+            joblib.dump(self.label_encoders, encoders_path)
+            
+            # Save feature names
+            features_path = os.path.join(output_dir, "loan_feature_names.joblib")
+            joblib.dump(self.feature_names, features_path)
+            
+            # Save explainer if available
+            if self.explainer is not None:
+                explainer_path = os.path.join(output_dir, "loan_explainer.joblib")
+                joblib.dump(self.explainer, explainer_path)
+            
+            logger.info(f"Model components saved to {output_dir}")
+            
+        except Exception as e:
+            logger.error(f"Error saving model components: {str(e)}")
+            raise
+            
+    def train(self, X: pd.DataFrame, y: pd.Series) -> None:
+        """Train the loan approval model.
+        
+        Args:
+            X (pd.DataFrame): Training features
+            y (pd.Series): Target values
+        """
+        try:
+            # Store feature names
+            self.feature_names = list(X.columns)
+            
+            # Preprocess features
+            X_processed = self._preprocess_features(X, is_training=True)
+            
+            # Initialize and train model
+            logger.info("Training RandomForestClassifier...")
+            self.model = RandomForestClassifier(
+                n_estimators=200,
+                max_depth=10,
+                min_samples_split=5,
+                min_samples_leaf=2,
+                random_state=42
+            )
+            
+            # Fit the model
+            self.model.fit(X_processed, y)
+            
+            # Initialize SHAP explainer
+            logger.info("Initializing SHAP explainer...")
+            self.explainer = shap.TreeExplainer(self.model)
+            
+            logger.info("Model trained successfully")
+            
+        except Exception as e:
+            logger.error(f"Error training model: {str(e)}")
+            raise
+            
+    def predict(self, features: Dict[str, Any]) -> Tuple[str, float, Dict[str, float]]:
+        """Make a prediction for loan approval.
+        
+        Args:
+            features (Dict[str, Any]): Input features for prediction
+            
+        Returns:
+            Tuple[str, float, Dict[str, float]]: Prediction result, probability, and feature importance
+        """
+        try:
+            # Validate required features
+            required_features = [
+                'no_of_dependents', 'education', 'self_employed', 'income_annum',
+                'loan_amount', 'loan_term', 'cibil_score', 'residential_assets_value',
+                'commercial_assets_value', 'luxury_assets_value', 'bank_asset_value'
+            ]
+            
+            missing_features = [f for f in required_features if f not in features]
+            if missing_features:
+                raise ValueError(f"Missing required features: {missing_features}")
+            
+            # Calculate derived features
+            features = features.copy()  # Create a copy to avoid modifying the input
+            features['debt_to_income'] = features['loan_amount'] / features['income_annum']
+            features['total_assets'] = (
+                features['residential_assets_value'] +
+                features['commercial_assets_value'] +
+                features['luxury_assets_value'] +
+                features['bank_asset_value']
+            )
+            features['asset_to_loan'] = features['total_assets'] / features['loan_amount']
+            
+            # Create DataFrame with all required features
+            X = pd.DataFrame([features])
+            
+            # Ensure all required features are present
+            required_features = self.feature_names
+            missing_features = set(required_features) - set(X.columns)
+            if missing_features:
+                raise ValueError(f"Missing required features after preprocessing: {missing_features}")
+            
+            # Reorder columns to match training data
+            X = X[required_features]
+            
+            # Encode categorical features first
+            for feature in ['education', 'self_employed']:
+                try:
+                    X[feature] = self.label_encoders[feature].transform(X[feature].astype(str))
+                except Exception as e:
+                    raise ValueError(f"Error encoding {feature}: {str(e)}. Valid values are: {self.label_encoders[feature].classes_}")
+            
+            # Scale numerical features
+            numerical_features = [f for f in X.columns if f not in ['education', 'self_employed']]
+            X[numerical_features] = self.scaler.transform(X[numerical_features])
+            
+            # Make prediction
+            prediction = self.model.predict(X)[0]
+            probability = self.model.predict_proba(X)[0][1]  # Probability of approval
+            
+            # Calculate feature importance
+            feature_importance = dict(zip(self.feature_names, self.model.feature_importances_))
+            
+            # Map prediction to string
+            result = "Approved" if prediction == 1 else "Rejected"
+            
+            return result, probability, feature_importance
+            
+        except Exception as e:
+            logger.error(f"Error making prediction: {str(e)}")
+            logger.exception("Detailed traceback:")
+            raise
+            
+    def _preprocess_features(self, X: pd.DataFrame, is_training: bool = False) -> pd.DataFrame:
+        """Preprocess features for model training or prediction.
+        
+        Args:
+            X (pd.DataFrame): Input features
+            is_training (bool): Whether preprocessing is for training
+            
+        Returns:
+            pd.DataFrame: Preprocessed features
+        """
+        try:
+            # Create copy to avoid modifying original data
+            df = X.copy()
+            
+            # Encode categorical variables
+            for col in self.categorical_columns:
+                if col in df.columns:
+                    if is_training:
+                        df[col] = self.label_encoders[col].fit_transform(df[col])
+                    else:
+                        df[col] = self.label_encoders[col].transform(df[col])
+            
+            # Scale numerical features
+            numerical_features = [f for f in df.columns if f not in self.categorical_columns]
+            if is_training:
+                df[numerical_features] = self.scaler.fit_transform(df[numerical_features])
+            else:
+                df[numerical_features] = self.scaler.transform(df[numerical_features])
+            
+            return df
+            
+        except Exception as e:
+            logger.error(f"Error preprocessing features: {str(e)}")
+            raise
+
+    def get_feature_importance(self):
+        """Return feature importance values from the model."""
+        try:
+            if self.model is None:
+                print("Model not loaded, cannot get feature importance")
+                return None
+                
+            # For tree-based models like RandomForest, we can get feature importance directly
+            if hasattr(self.model, 'feature_importances_'):
+                # Return the feature importances as a list
+                return self.model.feature_importances_.tolist()
+            elif hasattr(self.model, 'coef_'):
+                # For linear models, use coefficients as importance
+                return np.abs(self.model.coef_[0]).tolist()
+            else:
+                # Create dummy feature importance if not available
+                print("Feature importance not available in model, returning dummy values")
+                # Create dummy values for each feature
+                feature_count = len(self.feature_names) if hasattr(self, 'feature_names') else 10
+                return [0.1] * feature_count
+        except Exception as e:
+            print(f"Error getting feature importance: {str(e)}")
+            # Return dummy values as fallback
+            feature_count = len(self.feature_names) if hasattr(self, 'feature_names') else 10
+            return [0.1] * feature_count
\ No newline at end of file
diff --git a/src/api/main.py b/src/api/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..b96339d11e33fe7fec13db39f9858dd38520e2d0
--- /dev/null
+++ b/src/api/main.py
@@ -0,0 +1,344 @@
+import sys
+import os
+
+# Add the project root directory to the path
+project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+sys.path.append(project_root)
+
+print(f"Project root: {project_root}")
+print(f"Python path: {sys.path}")
+
+# Import models
+from src.api.loan_model import LoanApprovalModel
+from src.api.attrition_model import AttritionModel
+from src.api.diabetes_model import DiabetesModel
+from src.api.liver_model import LiverDiseaseModel
+from fastapi import FastAPI, HTTPException, Depends
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from typing import List, Optional, Dict, Union, Any
+from src.data.database import Application, Prediction, get_db, SessionLocal
+import json
+import os
+from datetime import datetime
+import logging
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+app = FastAPI(
+    title="Multi-Model Prediction API",
+    description="API for predicting loan approval, employee attrition, diabetes risk, and liver disease",
+    version="1.0.0"
+)
+
+# Add CORS middleware
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # Allows all origins
+    allow_credentials=True,
+    allow_methods=["*"],  # Allows all methods
+    allow_headers=["*"],  # Allows all headers
+)
+
+# Set up model paths
+model_dir = os.path.join(project_root, "models")
+print(f"Model directory: {model_dir}")
+
+# Load the trained model
+loan_model = LoanApprovalModel(model_dir=model_dir)
+
+# Fix the import for liver disease model
+try:
+    from src.api.liver_disease_model import LiverDiseaseModel
+except ImportError:
+    try:
+        from liver_disease_model import LiverDiseaseModel
+    except ImportError:
+        print("Warning: Could not import LiverDiseaseModel")
+
+# Load models
+try:
+    attrition_model = AttritionModel()
+    diabetes_model = DiabetesModel()
+    liver_model = LiverDiseaseModel()  # Use the correct class name
+    logger.info("All models loaded successfully")
+except Exception as e:
+    logger.error(f"Error loading models: {str(e)}")
+    # Continue execution even if model loading fails
+    # Models will be initialized as needed
+
+# Define response model for predictions
+class PredictionResponse(BaseModel):
+    prediction: bool
+    probability: float
+    feature_importance: Optional[List[float]] = None
+
+# Define request model for attrition prediction
+class AttritionPredictionRequest(BaseModel):
+    Age: int
+    DistanceFromHome: int
+    EnvironmentSatisfaction: int
+    JobLevel: int
+    JobSatisfaction: int
+    MonthlyIncome: int
+    OverTime: str
+    TotalWorkingYears: int
+    WorkLifeBalance: int
+    YearsAtCompany: int
+
+class LoanFeatures(BaseModel):
+    no_of_dependents: int
+    education: str
+    self_employed: str
+    income_annum: float
+    loan_amount: float
+    loan_term: int
+    cibil_score: int
+    residential_assets_value: float
+    commercial_assets_value: float
+    luxury_assets_value: float
+    bank_asset_value: float
+
+@app.post("/predict")
+async def predict(request: Dict[str, Any]):
+    try:
+        model_type = request.get("model_type", "").lower()
+        features = request.get("features", {})
+        
+        if model_type == "liver":
+            result = liver_model.predict(features)
+            return {
+                "prediction": result["prediction"],
+                "probability": result["probability"],
+                "feature_importance": liver_model.get_feature_importance()
+            }
+        elif model_type == "diabetes":
+            result = diabetes_model.predict(features)
+            return {
+                "prediction": result["prediction"],
+                "probability": result["probability"],
+                "feature_importance": diabetes_model.get_feature_importance()
+            }
+        elif model_type == "attrition":
+            result = attrition_model.predict(features)
+            return {
+                "prediction": result["prediction"],
+                "probability": result["probability"],
+                "feature_importance": attrition_model.get_feature_importance()
+            }
+        elif model_type == "loan":
+            result = loan_model.predict(features)
+            return {
+                "prediction": result["prediction"],
+                "probability": result["probability"],
+                "feature_importance": loan_model.get_feature_importance()
+            }
+        else:
+            raise HTTPException(status_code=400, detail=f"Unknown model type: {model_type}")
+    except Exception as e:
+        logger.error(f"Error in prediction: {str(e)}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.post("/predict/attrition", response_model=PredictionResponse)
+async def predict_attrition(request: AttritionPredictionRequest):
+    try:
+        # Convert request to dictionary
+        features = request.dict()
+        
+        # Make prediction
+        result = attrition_model.predict(features)
+        
+        return result
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+# Update the liver disease endpoint to use the correct model variable
+@app.post("/predict/liver", response_model=PredictionResponse)
+async def predict_liver_disease(request: Dict[str, Any]):
+    try:
+        # Make prediction using the liver_model variable
+        result = liver_model.predict(request)
+        
+        # Get feature importance if available
+        feature_importance = None
+        if hasattr(liver_model, 'get_feature_importance') and callable(getattr(liver_model, 'get_feature_importance')):
+            feature_importance = liver_model.get_feature_importance()
+        
+        # Return prediction result
+        return {
+            "prediction": result["prediction"],
+            "probability": result["probability"],
+            "feature_importance": feature_importance
+        }
+    except Exception as e:
+        logger.error(f"Error in liver disease prediction: {str(e)}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+# Add this endpoint if it doesn't exist
+@app.post("/predict/loan", response_model=PredictionResponse)
+async def predict_loan(request: Dict[str, Any]):
+    try:
+        # Extract features from request
+        features = request.get("features", request)  # Handle both formats
+        
+        # Make prediction
+        result = loan_model.predict(features)
+        
+        # Get feature importance
+        feature_importance = None
+        if hasattr(loan_model, 'get_feature_importance') and callable(getattr(loan_model, 'get_feature_importance')):
+            try:
+                feature_importance = loan_model.get_feature_importance()
+            except Exception as e:
+                logger.warning(f"Error getting feature importance: {str(e)}")
+                # Provide dummy feature importance values
+                feature_importance = [0.2, 0.15, 0.15, 0.1, 0.1, 0.08, 0.07, 0.05, 0.05, 0.03, 0.02]
+        else:
+            # If method doesn't exist, provide dummy values
+            logger.warning("get_feature_importance method not found, using dummy values")
+            feature_importance = [0.2, 0.15, 0.15, 0.1, 0.1, 0.08, 0.07, 0.05, 0.05, 0.03, 0.02]
+        
+        # Return prediction result
+        return {
+            "prediction": result["prediction"],
+            "probability": result["probability"],
+            "feature_importance": feature_importance
+        }
+    except Exception as e:
+        logger.error(f"Error in loan prediction: {str(e)}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.post("/predict/loan_approval")
+async def predict_loan_approval(features: LoanFeatures):
+    """Predict loan approval based on applicant features."""
+    try:
+        # Convert Pydantic model to dict
+        features_dict = features.dict()
+        
+        # Log input features for debugging
+        logger.info(f"Input features: {features_dict}")
+        
+        # Calculate derived metrics
+        monthly_income = features_dict['income_annum'] / 12
+        total_assets = (
+            features_dict['residential_assets_value'] +
+            features_dict['commercial_assets_value'] +
+            features_dict['luxury_assets_value'] +
+            features_dict['bank_asset_value']
+        )
+        
+        # Calculate monthly EMI (Equated Monthly Installment)
+        annual_interest_rate = 0.10  # 10% annual interest rate
+        monthly_rate = annual_interest_rate / 12
+        loan_term_months = features_dict['loan_term'] * 12
+        monthly_payment = (features_dict['loan_amount'] * monthly_rate * (1 + monthly_rate)**loan_term_months) / ((1 + monthly_rate)**loan_term_months - 1)
+        
+        # Calculate key ratios
+        debt_to_income = monthly_payment / monthly_income
+        asset_to_loan = total_assets / features_dict['loan_amount']
+        
+        # Make prediction
+        result, probability, feature_importance = loan_model.predict(features_dict)
+        
+        # Generate personalized explanation
+        explanation = []
+        
+        # Credit Score Analysis
+        if features_dict['cibil_score'] >= 750:
+            explanation.append("Your excellent CIBIL score of {score} significantly strengthens your application.".format(
+                score=features_dict['cibil_score']
+            ))
+        elif features_dict['cibil_score'] >= 650:
+            explanation.append("Your fair CIBIL score of {score} is acceptable but could be improved.".format(
+                score=features_dict['cibil_score']
+            ))
+        else:
+            explanation.append("Your CIBIL score of {score} is below the preferred threshold.".format(
+                score=features_dict['cibil_score']
+            ))
+        
+        # Income and EMI Analysis
+        if debt_to_income <= 0.3:
+            explanation.append("Your monthly loan payment (₹{emi:,.2f}) represents {ratio:.1%} of your monthly income (₹{income:,.2f}), which is very manageable.".format(
+                emi=monthly_payment,
+                ratio=debt_to_income,
+                income=monthly_income
+            ))
+        elif debt_to_income <= 0.5:
+            explanation.append("Your monthly loan payment (₹{emi:,.2f}) represents {ratio:.1%} of your monthly income (₹{income:,.2f}), which is moderate but acceptable.".format(
+                emi=monthly_payment,
+                ratio=debt_to_income,
+                income=monthly_income
+            ))
+        else:
+            explanation.append("Your monthly loan payment (₹{emi:,.2f}) represents {ratio:.1%} of your monthly income (₹{income:,.2f}), which is relatively high.".format(
+                emi=monthly_payment,
+                ratio=debt_to_income,
+                income=monthly_income
+            ))
+        
+        # Asset Coverage Analysis
+        if asset_to_loan >= 2:
+            explanation.append("Your total assets (₹{assets:,.2f}) provide excellent coverage at {ratio:.1f}x the loan amount.".format(
+                assets=total_assets,
+                ratio=asset_to_loan
+            ))
+        elif asset_to_loan >= 1:
+            explanation.append("Your total assets (₹{assets:,.2f}) adequately cover the loan amount at {ratio:.1f}x.".format(
+                assets=total_assets,
+                ratio=asset_to_loan
+            ))
+        else:
+            explanation.append("Your total assets (₹{assets:,.2f}) provide limited coverage at {ratio:.1f}x the loan amount.".format(
+                assets=total_assets,
+                ratio=asset_to_loan
+            ))
+        
+        # Employment Status
+        if features_dict['self_employed'] == "Yes":
+            explanation.append("As a self-employed individual, income stability is a key consideration.")
+        else:
+            explanation.append("Your salaried employment status provides income stability.")
+        
+        # Education
+        if features_dict['education'] == "Graduate":
+            explanation.append("Your graduate education is viewed favorably.")
+        
+        # Dependents
+        if features_dict['no_of_dependents'] > 2:
+            explanation.append("Having {deps} dependents increases your financial responsibilities.".format(
+                deps=features_dict['no_of_dependents']
+            ))
+        
+        # Format response
+        response = {
+            "prediction": result,
+            "probability": float(probability),
+            "feature_importance": {k: float(v) for k, v in feature_importance.items()},
+            "explanation": explanation,
+            "financial_metrics": {
+                "monthly_income": float(monthly_income),
+                "monthly_payment": float(monthly_payment),
+                "debt_to_income": float(debt_to_income),
+                "asset_to_loan": float(asset_to_loan),
+                "total_assets": float(total_assets)
+            }
+        }
+        
+        logger.info(f"Prediction response: {response}")
+        return response
+        
+    except Exception as e:
+        logger.error(f"Error making prediction: {str(e)}")
+        logger.exception("Detailed traceback:")
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/health")
+async def health_check():
+    return {"status": "healthy"}
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="127.0.0.1", port=8000)
\ No newline at end of file
diff --git a/src/data/__pycache__/database.cpython-311.pyc b/src/data/__pycache__/database.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..21ddc5f1c038f19c0327d0a8547967b762b737ef
--- /dev/null
+++ b/src/data/__pycache__/database.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20df374293ab4146b7e0186261be6ec747e61372241de02268ffa89fee91578b
+size 2993
diff --git a/src/data/database.py b/src/data/database.py
new file mode 100644
index 0000000000000000000000000000000000000000..5344bd73684cc96ed1dd025923767ba958b88480
--- /dev/null
+++ b/src/data/database.py
@@ -0,0 +1,51 @@
+from sqlalchemy import create_engine, Column, Integer, Float, String, Boolean, ForeignKey, Text
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import sessionmaker, relationship
+
+# Create SQLite database
+SQLALCHEMY_DATABASE_URL = "sqlite:///./loan_applications.db"
+engine = create_engine(SQLALCHEMY_DATABASE_URL)
+SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+Base = declarative_base()
+
+# Define database models
+class Application(Base):
+    __tablename__ = "applications"
+    
+    id = Column(Integer, primary_key=True, index=True)
+    no_of_dependents = Column(Integer)
+    education = Column(String)
+    self_employed = Column(String)
+    income_annum = Column(Float)
+    loan_amount = Column(Float)
+    loan_term = Column(Integer)
+    cibil_score = Column(Integer)
+    residential_assets_value = Column(Float)
+    commercial_assets_value = Column(Float)
+    luxury_assets_value = Column(Float)
+    bank_asset_value = Column(Float)
+    
+    predictions = relationship("Prediction", back_populates="application")
+
+class Prediction(Base):
+    __tablename__ = "predictions"
+    
+    id = Column(Integer, primary_key=True, index=True)
+    application_id = Column(Integer, ForeignKey("applications.id"))
+    prediction = Column(Boolean)
+    probability = Column(Float)
+    explanation = Column(Text)
+    feature_importance = Column(Text)  # Stored as JSON string
+    
+    application = relationship("Application", back_populates="predictions")
+
+# Create tables
+Base.metadata.create_all(bind=engine)
+
+# Dependency to get database session
+def get_db():
+    db = SessionLocal()
+    try:
+        yield db
+    finally:
+        db.close()
\ No newline at end of file
diff --git a/src/data/loan_approval_dataset.csv b/src/data/loan_approval_dataset.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0519ecba6ea913e21689ec692e81e9e4973fbf73
--- /dev/null
+++ b/src/data/loan_approval_dataset.csv
@@ -0,0 +1 @@
+ 
\ No newline at end of file
diff --git a/src/data/preprocessing.py b/src/data/preprocessing.py
new file mode 100644
index 0000000000000000000000000000000000000000..1b20aebadb124081eced4cece66ce04b1a694f18
--- /dev/null
+++ b/src/data/preprocessing.py
@@ -0,0 +1,41 @@
+import pandas as pd
+import numpy as np
+from sklearn.preprocessing import StandardScaler, OneHotEncoder
+from sklearn.compose import ColumnTransformer
+from sklearn.pipeline import Pipeline
+from sklearn.model_selection import train_test_split
+
+def load_data(filepath):
+    """Load data from CSV file"""
+    return pd.read_csv(filepath)
+    
+def preprocess_data(df, target_column='loan_approved'):
+    """Preprocess data for model training"""
+    # Split features and target
+    X = df.drop(columns=[target_column])
+    y = df[target_column]
+    
+    # Identify numeric and categorical columns
+    numeric_features = X.select_dtypes(include=['int64', 'float64']).columns
+    categorical_features = X.select_dtypes(include=['object']).columns
+    
+    # Create preprocessing pipelines
+    numeric_transformer = Pipeline(steps=[
+        ('scaler', StandardScaler())
+    ])
+    
+    categorical_transformer = Pipeline(steps=[
+        ('onehot', OneHotEncoder(handle_unknown='ignore'))
+    ])
+    
+    # Combine preprocessing steps
+    preprocessor = ColumnTransformer(
+        transformers=[
+            ('num', numeric_transformer, numeric_features),
+            ('cat', categorical_transformer, categorical_features)
+        ])
+    
+    # Split data
+    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+    
+    return preprocessor, X_train, X_test, y_train, y_test
\ No newline at end of file
diff --git a/src/explainers/__pycache__/bias_detector.cpython-311.pyc b/src/explainers/__pycache__/bias_detector.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..500ba6015dfdd85704046cb28c741b867f2f121e
--- /dev/null
+++ b/src/explainers/__pycache__/bias_detector.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63cef06f7f6278e10c8a744cfb2ab26aac78ca548d099a5c69fe68b0cf49bcb1
+size 129
diff --git a/src/explainers/bias_detector.py b/src/explainers/bias_detector.py
new file mode 100644
index 0000000000000000000000000000000000000000..9c0c28f61b2c03f7d6e4a3d221a877b62232bb0c
--- /dev/null
+++ b/src/explainers/bias_detector.py
@@ -0,0 +1,99 @@
+import pandas as pd
+import numpy as np
+from sklearn.metrics import confusion_matrix
+
+class BiasDetector:
+    def __init__(self, model, sensitive_features=None):
+        self.model = model
+        self.sensitive_features = sensitive_features or []
+        self.metrics = {}
+        
+    def analyze_bias(self, X, y, sensitive_feature):
+        """Analyze bias for a sensitive feature"""
+        if sensitive_feature not in X.columns:
+            raise ValueError(f"Sensitive feature {sensitive_feature} not found in data")
+            
+        # Get unique values for the sensitive feature
+        unique_values = X[sensitive_feature].unique()
+        
+        results = {}
+        for value in unique_values:
+            # Filter data for this value
+            mask = X[sensitive_feature] == value
+            X_group = X[mask]
+            y_group = y[mask]
+            
+            # Skip if no data
+            if len(X_group) == 0:
+                continue
+                
+            # Make predictions
+            if hasattr(self.model, 'predict'):
+                y_pred = self.model.predict(X_group)
+            else:
+                y_pred = self.model.model.predict(X_group)
+                
+            # Calculate metrics
+            tn, fp, fn, tp = confusion_matrix(y_group, y_pred).ravel()
+            
+            # Calculate rates
+            acceptance_rate = (tp + fp) / len(y_group)
+            true_positive_rate = tp / (tp + fn) if (tp + fn) > 0 else 0
+            false_positive_rate = fp / (fp + tn) if (fp + tn) > 0 else 0
+            
+            results[value] = {
+                "count": len(X_group),
+                "acceptance_rate": acceptance_rate,
+                "true_positive_rate": true_positive_rate,
+                "false_positive_rate": false_positive_rate
+            }
+            
+        self.metrics[sensitive_feature] = results
+        return results
+        
+    def calculate_disparate_impact(self, sensitive_feature, privileged_value):
+        """Calculate disparate impact"""
+        if sensitive_feature not in self.metrics:
+            raise ValueError(f"No metrics available for {sensitive_feature}. Run analyze_bias first.")
+            
+        metrics = self.metrics[sensitive_feature]
+        if privileged_value not in metrics:
+            raise ValueError(f"Privileged value {privileged_value} not found in metrics")
+            
+        privileged_rate = metrics[privileged_value]["acceptance_rate"]
+        
+        disparate_impact = {}
+        for value, data in metrics.items():
+            if value != privileged_value:
+                unprivileged_rate = data["acceptance_rate"]
+                # Disparate impact is the ratio of unprivileged to privileged acceptance rates
+                # A value < 0.8 is often considered problematic
+                di = unprivileged_rate / privileged_rate if privileged_rate > 0 else 0
+                disparate_impact[value] = di
+                
+        return disparate_impact
+        
+    def generate_bias_report(self):
+        """Generate a comprehensive bias report"""
+        report = {}
+        
+        for feature in self.metrics:
+            feature_report = {
+                "metrics": self.metrics[feature],
+                "disparate_impact": {}
+            }
+            
+            # Find privileged group (highest acceptance rate)
+            acceptance_rates = {value: data["acceptance_rate"] 
+                               for value, data in self.metrics[feature].items()}
+            privileged_value = max(acceptance_rates, key=acceptance_rates.get)
+            
+            # Calculate disparate impact
+            feature_report["disparate_impact"] = self.calculate_disparate_impact(
+                feature, privileged_value
+            )
+            
+            # Add to report
+            report[feature] = feature_report
+            
+        return report
\ No newline at end of file
diff --git a/src/explainers/lime_explainer.py b/src/explainers/lime_explainer.py
new file mode 100644
index 0000000000000000000000000000000000000000..5687623261a0376157a3c93b6aff45f6f33f31be
--- /dev/null
+++ b/src/explainers/lime_explainer.py
@@ -0,0 +1,73 @@
+import lime
+import lime.lime_tabular
+import numpy as np
+import pandas as pd
+
+class LimeExplainer:
+    def __init__(self, model, feature_names=None, class_names=None):
+        self.model = model
+        self.explainer = None
+        self.feature_names = feature_names
+        self.class_names = class_names or ['Denied', 'Approved']
+        
+    def fit(self, X_background):
+        """Fit the explainer with background data"""
+        # Get feature names
+        if self.feature_names is None and hasattr(self.model, 'feature_names'):
+            self.feature_names = self.model.feature_names
+            
+        # Create prediction function
+        def predict_fn(x):
+            if hasattr(self.model, 'predict_proba'):
+                return self.model.predict_proba(pd.DataFrame(x, columns=self.feature_names))
+            else:
+                return self.model.model.predict_proba(x)
+                
+        # Create explainer
+        self.explainer = lime.lime_tabular.LimeTabularExplainer(
+            X_background.values,
+            feature_names=self.feature_names,
+            class_names=self.class_names,
+            mode='classification'
+        )
+        
+    def explain_instance(self, instance, num_features=5):
+        """Generate LIME explanation for a single instance"""
+        if self.explainer is None:
+            raise ValueError("Explainer not fitted. Call fit() first.")
+            
+        # Define prediction function
+        def predict_fn(x):
+            if hasattr(self.model, 'predict_proba'):
+                return self.model.predict_proba(pd.DataFrame(x, columns=self.feature_names))
+            else:
+                return self.model.model.predict_proba(x)
+                
+        # Generate explanation
+        explanation = self.explainer.explain_instance(
+            instance.values[0], 
+            predict_fn,
+            num_features=num_features
+        )
+        
+        return explanation
+        
+    def generate_explanation(self, instance, num_features=5):
+        """Generate human-readable explanation"""
+        explanation = self.explain_instance(instance, num_features)
+        
+        # Get the explanation as a list of tuples (feature, weight)
+        features_weights = explanation.as_list()
+        
+        # Generate text explanation
+        text_explanation = []
+        for feature, weight in features_weights:
+            direction = "increased" if weight > 0 else "decreased"
+            text_explanation.append(f"{feature} {direction} the likelihood")
+            
+        return " and ".join(text_explanation)
+        
+    def plot_explanation(self, instance, num_features=5):
+        """Plot the explanation"""
+        explanation = self.explain_instance(instance, num_features)
+        return explanation.as_pyplot_figure()
\ No newline at end of file
diff --git a/src/explainers/shap_explainer.py b/src/explainers/shap_explainer.py
new file mode 100644
index 0000000000000000000000000000000000000000..26c40ad53409eb42b0f394da735a4de8eceff225
--- /dev/null
+++ b/src/explainers/shap_explainer.py
@@ -0,0 +1,90 @@
+import shap
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+class ShapExplainer:
+    def __init__(self, model, feature_names=None):
+        self.model = model
+        self.explainer = None
+        self.feature_names = feature_names
+        
+    def fit(self, X_background):
+        """Fit the explainer with background data"""
+        # Transform data if preprocessor exists
+        if hasattr(self.model, 'preprocessor') and self.model.preprocessor is not None:
+            X_processed = self.model.preprocessor.transform(X_background)
+            # Convert to dense array if sparse
+            if hasattr(X_processed, "toarray"):
+                X_processed = X_processed.toarray()
+        else:
+            X_processed = X_background
+            
+        # Create explainer
+        if hasattr(self.model, 'model'):
+            self.explainer = shap.TreeExplainer(self.model.model)
+        else:
+            self.explainer = shap.TreeExplainer(self.model)
+            
+    def explain_instance(self, instance):
+        """Generate SHAP values for a single instance"""
+        # Transform instance if preprocessor exists
+        if hasattr(self.model, 'preprocessor') and self.model.preprocessor is not None:
+            instance_processed = self.model.preprocessor.transform(instance)
+            # Convert to dense array if sparse
+            if hasattr(instance_processed, "toarray"):
+                instance_processed = instance_processed.toarray()
+        else:
+            instance_processed = instance
+            
+        # Calculate SHAP values
+        shap_values = self.explainer.shap_values(instance_processed)
+        
+        # For classification models, shap_values might be a list of arrays
+        if isinstance(shap_values, list):
+            shap_values = shap_values[1]  # Assuming binary classification
+            
+        return shap_values
+        
+    def generate_explanation(self, instance, original_features=None):
+        """Generate human-readable explanation"""
+        shap_values = self.explain_instance(instance)
+        
+        # Get feature names
+        if self.feature_names is None and hasattr(self.model, 'feature_names'):
+            self.feature_names = self.model.feature_names
+            
+        # If we have the original feature names and values
+        if original_features is not None:
+            # Sort features by absolute SHAP value
+            feature_importance = [(name, abs(shap_values[0][i])) 
+                                 for i, name in enumerate(self.feature_names)]
+            feature_importance.sort(key=lambda x: x[1], reverse=True)
+            
+            # Generate explanation text
+            explanation = []
+            for feature, importance in feature_importance[:5]:  # Top 5 features
+                if importance > 0.01:  # Only include significant features
+                    value = original_features[feature].values[0]
+                    direction = "increased" if shap_values[0][self.feature_names.index(feature)] > 0 else "decreased"
+                    explanation.append(f"{feature} = {value} {direction} the likelihood")
+                    
+            return " and ".join(explanation)
+        
+        return "Explanation requires original feature values"
+        
+    def plot_force(self, instance, matplotlib=True):
+        """Generate force plot for an instance"""
+        shap_values = self.explain_instance(instance)
+        
+        if matplotlib:
+            shap.force_plot(self.explainer.expected_value, 
+                           shap_values, 
+                           instance, 
+                           feature_names=self.feature_names,
+                           matplotlib=True)
+        else:
+            return shap.force_plot(self.explainer.expected_value, 
+                                  shap_values, 
+                                  instance, 
+                                  feature_names=self.feature_names)
\ No newline at end of file
diff --git a/src/frontend/__pycache__/attrition_prediction.cpython-311.pyc b/src/frontend/__pycache__/attrition_prediction.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..d5d162f8a002cffeedffa7d18cb8311afe619e03
--- /dev/null
+++ b/src/frontend/__pycache__/attrition_prediction.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67870e61dbfd71ef89a466a98be348d643892154d9fe39e20f74ee3443184acb
+size 13853
diff --git a/src/frontend/__pycache__/loan_prediction.cpython-311.pyc b/src/frontend/__pycache__/loan_prediction.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ea319996946a4b50441149c05ab702d6fc5e2d3e
--- /dev/null
+++ b/src/frontend/__pycache__/loan_prediction.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5622176d4ac59d0a28a57cfabff1f4c153d1148309458f35355543c56d1ab718
+size 12940
diff --git a/src/frontend/app.py b/src/frontend/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..d3861e00c4edcadd7a5b1581ac127c175a7ea815
--- /dev/null
+++ b/src/frontend/app.py
@@ -0,0 +1,1487 @@
+import streamlit as st
+import requests
+import pandas as pd
+import json
+import plotly.express as px
+import traceback
+# Fix imports to use relative paths or sys.path modification
+import sys
+import os
+import numpy as np
+import pickle
+import plotly.graph_objects as go
+from datetime import datetime
+import joblib
+
+# Add the project root to the Python path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
+
+# Import the prediction interfaces
+from loan_prediction import show_loan_prediction
+from src.frontend.attrition_prediction import show_attrition_prediction
+
+# Now import the modules
+try:
+    from src.utils.chatbot import ExplainableChatbot
+    from src.explainers.bias_detector import BiasDetector
+    from src.utils.report_generator import ReportGenerator
+except ImportError as e:
+    # Create dummy classes for development/testing
+    class ExplainableChatbot:
+        def __init__(self):
+            pass
+        
+        def get_response(self, question, context=None):
+            return f"This is a placeholder response for: {question}"
+    
+    class BiasDetector:
+        def __init__(self, model=None, sensitive_features=None):
+            self.sensitive_features = sensitive_features or []
+    
+    class ReportGenerator:
+        def generate_loan_report(self, output_path, data, **kwargs):
+            # Create a simple text file as placeholder
+            with open(output_path, 'w') as f:
+                f.write("Sample Report\n\n")
+                f.write(str(data))
+            return True
+import tempfile
+
+# Set page config
+st.set_page_config(
+    page_title="AI Prediction Dashboard",
+    page_icon="🎯",
+    layout="wide"
+)
+
+# Custom CSS to fix text alignment in status boxes and add progress bars
+st.markdown("""
+<style>
+    .project-title {
+        text-align: center;
+        background: linear-gradient(120deg, #4c78a8, #2c3153);
+        -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent;
+        background-clip: text;
+        font-size: 4rem;
+        font-weight: 800;
+        margin: -1rem auto 1rem auto;
+        padding: 1rem;
+        letter-spacing: 2px;
+        text-transform: uppercase;
+        font-family: 'Helvetica Neue', sans-serif;
+        display: block;
+    }
+    .status-box {
+        display: inline-block;
+        padding: 6px 0px;
+        border-radius: 4px;
+        text-align: center;
+        font-weight: bold;
+        width: 100%;
+        white-space: nowrap;
+        font-size: 14px;
+    }
+    .status-good {
+        background-color: #0e5814;
+        color: white;
+    }
+    .status-ok {
+        background-color: #9c6a00;
+        color: white;
+    }
+    .status-bad {
+        background-color: #8b0000;
+        color: white;
+    }
+    .metric-label {
+        font-size: 18px;
+        font-weight: bold;
+        margin-bottom: 5px;
+    }
+    .metric-value {
+        font-size: 28px;
+        font-weight: bold;
+    }
+    .metric-desc {
+        font-size: 14px;
+        color: #ccc;
+        margin-top: 5px;
+    }
+    .progress-container {
+        width: 100%;
+        background-color: #333;
+        border-radius: 5px;
+        margin-top: 10px;
+    }
+    .progress-bar {
+        height: 10px;
+        border-radius: 5px;
+    }
+    .progress-good {
+        background-color: #0e5814;
+    }
+    .progress-ok {
+        background-color: #9c6a00;
+    }
+    .progress-bad {
+        background-color: #8b0000;
+    }
+    .model-card {
+        padding: 20px;
+        border-radius: 10px;
+        background-color: #1e2130;
+        border: 1px solid #2c3153;
+        margin: 10px 0;
+        transition: transform 0.3s;
+        height: 100%;
+        display: flex;
+        flex-direction: column;
+        justify-content: space-between;
+    }
+    .model-card:hover {
+        transform: translateY(-5px);
+        border-color: #4c78a8;
+        cursor: pointer;
+    }
+    .model-title {
+        font-size: 24px;
+        font-weight: bold;
+        margin-bottom: 10px;
+        text-align: center;
+        color: #ffffff;
+    }
+    .model-description {
+        font-size: 16px;
+        color: #ccc;
+        margin: 15px 0;
+        text-align: center;
+    }
+    .centered-content {
+        display: flex;
+        flex-direction: column;
+        align-items: center;
+        justify-content: center;
+        text-align: center;
+    }
+    .main {
+        padding: 2rem;
+    }
+    .stButton>button {
+        width: 100%;
+        height: 3rem;
+        font-size: 1.2rem;
+        margin-top: 1rem;
+    }
+    .prediction-box {
+        padding: 2rem;
+        border-radius: 10px;
+        margin: 1rem 0;
+    }
+    .high-risk {
+        background-color: #ffebee;
+        border: 2px solid #f44336;
+    }
+    .low-risk {
+        background-color: #e8f5e9;
+        border: 2px solid #4caf50;
+    }
+</style>
+""", unsafe_allow_html=True)
+
+# Function to create status box
+def status_box(status, text):
+    if status == "good":
+        return f'<div class="status-box status-good">{text}</div>'
+    elif status == "ok":
+        return f'<div class="status-box status-ok">{text}</div>'
+    else:
+        return f'<div class="status-box status-bad">{text}</div>'
+
+# Function to create a metric with progress bar
+def metric_with_progress(label, value, description, status, progress_percent):
+    progress_class = "progress-good" if status == "good" else "progress-ok" if status == "ok" else "progress-bad"
+    return f"""
+    <div class="metric-label">{label}</div>
+    <div class="metric-value">{value}</div>
+    <div class="metric-desc">{description}</div>
+    <div class="progress-container">
+        <div class="progress-bar {progress_class}" style="width: {progress_percent}%"></div>
+    </div>
+    """
+
+# API endpoint
+API_URL = "http://127.0.0.1:8000"
+
+def show_dashboard():
+    st.markdown('<div class="project-title">Intuitron</div>', unsafe_allow_html=True)
+    st.markdown("## AI Prediction Dashboard")
+    st.markdown("### Select a Prediction Model")
+    
+    # Create three columns for the model cards
+    col1, col2, col3 = st.columns(3)
+    
+    with col1:
+        st.markdown("""
+        <div class="model-card">
+            <div class="model-title">🏦 Loan Approval</div>
+            <div class="model-description">
+                Predict loan approval probability based on financial and personal information.
+                Features include credit score, income, assets, and more.
+            </div>
+            <div class="centered-content">
+                <img src="https://img.icons8.com/fluency/96/000000/bank-building.png" style="margin: 20px 0;">
+            </div>
+        </div>
+        """, unsafe_allow_html=True)
+        if st.button("Launch Loan Predictor"):
+            st.session_state.selected_model = "loan"
+            st.experimental_rerun()
+    
+    with col2:
+        st.markdown("""
+        <div class="model-card">
+            <div class="model-title">👥 Employee Attrition</div>
+            <div class="model-description">
+                Predict employee attrition risk using HR analytics data.
+                Analyze factors like job satisfaction, salary, and work-life balance.
+            </div>
+            <div class="centered-content">
+                <img src="https://img.icons8.com/fluency/96/000000/employee-card.png" style="margin: 20px 0;">
+            </div>
+        </div>
+        """, unsafe_allow_html=True)
+        if st.button("Launch Attrition Predictor"):
+            st.session_state.selected_model = "attrition"
+            st.experimental_rerun()
+    
+    with col3:
+        st.markdown("""
+        <div class="model-card">
+            <div class="model-title">🏥 Healthcare</div>
+            <div class="model-description">
+                Predict healthcare outcomes and risk factors. Analyze patient data for better healthcare decisions.
+                Includes diabetes and liver disease prediction models.
+            </div>
+            <div class="centered-content">
+                <img src="https://img.icons8.com/fluency/96/000000/hospital.png" style="margin: 20px 0;">
+            </div>
+        </div>
+        """, unsafe_allow_html=True)
+        if st.button("Launch Healthcare Predictor"):
+            st.session_state.selected_model = "healthcare"
+            st.experimental_rerun()
+
+def get_loan_explanation(data, result):
+    """Generate personalized explanation for loan prediction"""
+    explanation = []
+    
+    # Credit Score Analysis
+    if data['cibil_score'] >= 750:
+        explanation.append("• **Credit Score**: Excellent credit score (750+) significantly improves your loan approval chances.")
+    elif data['cibil_score'] >= 650:
+        explanation.append("• **Credit Score**: Good credit score (650-749) supports your application.")
+    else:
+        explanation.append("• **Credit Score**: Your credit score is below 650, which may affect loan approval.")
+    
+    # Income and Loan Amount Analysis
+    monthly_income = data['income_annum'] / 12
+    loan_term_months = data['loan_term'] * 12
+    # Assuming 8% annual interest rate for EMI calculation
+    r = 0.08 / 12
+    emi = (data['loan_amount'] * r * (1 + r)**loan_term_months) / ((1 + r)**loan_term_months - 1)
+    dti_ratio = (emi / monthly_income) * 100
+    
+    if dti_ratio <= 40:
+        explanation.append(f"• **Affordability**: Your EMI would be ₹{emi:,.2f}, which is {dti_ratio:.1f}% of monthly income - this is within acceptable limits.")
+    else:
+        explanation.append(f"• **Affordability**: Your EMI would be ₹{emi:,.2f}, which is {dti_ratio:.1f}% of monthly income - this may be too high.")
+    
+    # Assets Analysis
+    total_assets = (data['residential_assets_value'] + data['commercial_assets_value'] + 
+                   data['luxury_assets_value'] + data['bank_asset_value'])
+    asset_ratio = total_assets / data['loan_amount']
+    
+    if asset_ratio >= 2:
+        explanation.append(f"• **Asset Coverage**: Your total assets (₹{total_assets:,.2f}) provide excellent security, covering {asset_ratio:.1f}x the loan amount.")
+    elif asset_ratio >= 1:
+        explanation.append(f"• **Asset Coverage**: Your assets provide adequate security, covering {asset_ratio:.1f}x the loan amount.")
+    else:
+        explanation.append(f"• **Asset Coverage**: Your assets cover only {asset_ratio:.1f}x the loan amount, which may be insufficient.")
+    
+    # Employment and Education
+    if data['education'] == "Graduate":
+        explanation.append("• **Education**: Being a graduate strengthens your application.")
+    else:
+        explanation.append("• **Education**: Higher education could improve future loan eligibility.")
+        
+    if data['self_employed'] == "Yes":
+        explanation.append("• **Employment**: Being self-employed may require additional income documentation.")
+    else:
+        explanation.append("• **Employment**: Salaried employment provides stable income assessment.")
+    
+    # Overall Assessment
+    if result["prediction"]:
+        explanation.append("\n### Key Approval Factors:")
+        strengths = []
+        if data['cibil_score'] >= 650:
+            strengths.append("Strong credit history")
+        if dti_ratio <= 40:
+            strengths.append("Good affordability ratio")
+        if asset_ratio >= 1.5:
+            strengths.append("Strong asset coverage")
+        if data['education'] == "Graduate":
+            strengths.append("Higher education")
+        explanation.append("• " + ", ".join(strengths))
+    else:
+        explanation.append("\n### Areas for Improvement:")
+        if data['cibil_score'] < 650:
+            explanation.append("1. Work on improving credit score")
+        if dti_ratio > 40:
+            explanation.append("2. Consider a lower loan amount or longer tenure")
+        if asset_ratio < 1.5:
+            explanation.append("3. Strengthen asset position")
+        if data['education'] != "Graduate":
+            explanation.append("4. Consider additional qualification")
+    
+    return "\n".join(explanation)
+
+# Load the trained model and components
+@st.cache_resource
+def load_model():
+    try:
+        model_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'models', 'loan_model.joblib')
+        if not os.path.exists(model_path):
+            st.error("Model file not found. Please train the model first.")
+            return None
+            
+        model_data = joblib.load(model_path)
+        return model_data
+    except Exception as e:
+        st.error(f"Error loading model: {str(e)}")
+        return None
+
+def show_loan_prediction():
+    st.title("Loan Approval Prediction System")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Loan Application Details")
+        
+        # Personal information
+        st.subheader("Personal Information")
+        no_of_dependents = st.slider("Number of Dependents", 0, 10, 2)
+        education = st.selectbox("Education", ["Graduate", "Not Graduate"])
+        self_employed = st.selectbox("Self Employed", ["Yes", "No"])
+        
+        # Financial information
+        st.subheader("Financial Information")
+        income_annum = st.number_input("Annual Income (₹)", min_value=100000, max_value=20000000, value=5000000, step=100000)
+        loan_amount = st.number_input("Loan Amount (₹)", min_value=100000, max_value=50000000, value=10000000, step=100000)
+        loan_term = st.slider("Loan Term (years)", 2, 30, 15)
+        cibil_score = st.slider("CIBIL Score", 300, 900, 650)
+        
+        # Assets information
+        st.subheader("Assets Information")
+        residential_assets_value = st.number_input("Residential Assets Value (₹)", min_value=0, max_value=50000000, value=5000000, step=100000)
+        commercial_assets_value = st.number_input("Commercial Assets Value (₹)", min_value=0, max_value=50000000, value=2000000, step=100000)
+        luxury_assets_value = st.number_input("Luxury Assets Value (₹)", min_value=0, max_value=50000000, value=1000000, step=100000)
+        bank_asset_value = st.number_input("Bank Assets Value (₹)", min_value=0, max_value=50000000, value=3000000, step=100000)
+        
+        # Submit button
+        predict_button = st.button("Predict Loan Approval")
+    
+    # Main content area
+    if predict_button:
+        # Prepare input data
+        input_data = {
+            "no_of_dependents": no_of_dependents,
+            "education": education,
+            "self_employed": self_employed,
+            "income_annum": income_annum,
+            "loan_amount": loan_amount,
+            "loan_term": loan_term,
+            "cibil_score": cibil_score,
+            "residential_assets_value": residential_assets_value,
+            "commercial_assets_value": commercial_assets_value,
+            "luxury_assets_value": luxury_assets_value,
+            "bank_asset_value": bank_asset_value
+        }
+        
+        try:
+            # Make API request
+            response = requests.post(
+                "http://localhost:8000/predict/loan_approval",
+                json=input_data
+            )
+            response.raise_for_status()
+            result = response.json()
+            
+            # Display results
+            col1, col2 = st.columns([3, 2])
+            
+            with col1:
+                # Prediction result
+                if result["prediction"] == "Approved":
+                    st.success("### Loan Approved! ✅")
+                else:
+                    st.error("### Loan Rejected ❌")
+                
+                # Explanation section
+                st.subheader("Explanation")
+                for explanation in result["explanation"]:
+                    st.write(explanation)
+                
+                # Factors Affecting Application
+                st.subheader("Factors Affecting Your Application")
+                
+                # Create DataFrame for visualization
+                feature_importance = result["feature_importance"]
+                importance_df = pd.DataFrame({
+                    'Feature': list(feature_importance.keys()),
+                    'Importance': list(feature_importance.values())
+                })
+                importance_df = importance_df.sort_values('Importance', ascending=False)
+                
+                # Create horizontal bar chart
+                fig = px.bar(
+                    importance_df,
+                    x='Importance',
+                    y='Feature',
+                    orientation='h',
+                    color='Importance',
+                    color_continuous_scale=px.colors.sequential.Blues
+                )
+                fig.update_layout(
+                    margin=dict(l=20, r=20, t=30, b=20),
+                    height=400
+                )
+                st.plotly_chart(fig, use_container_width=True)
+            
+            with col2:
+                # Approval Probability
+                st.subheader("Approval Probability")
+                st.markdown(f"### {result['probability']:.2%}")
+                
+                # Financial Metrics
+                st.subheader("Financial Metrics")
+                metrics = result["financial_metrics"]
+                
+                metrics_col1, metrics_col2, metrics_col3 = st.columns(3)
+                
+                with metrics_col1:
+                    st.markdown("**CIBIL Score**")
+                    st.markdown(f"### {cibil_score}")
+                    if cibil_score >= 750:
+                        st.markdown("Excellent - Very favorable")
+                    elif cibil_score >= 650:
+                        st.markdown("Fair - Average credit history")
+                    else:
+                        st.markdown("Poor - Unfavorable credit history")
+                
+                with metrics_col2:
+                    st.markdown("**Debt-to-Income**")
+                    st.markdown(f"### {metrics['debt_to_income']:.2f}")
+                    if metrics['debt_to_income'] <= 0.3:
+                        st.markdown("Low - Very manageable")
+                    elif metrics['debt_to_income'] <= 0.5:
+                        st.markdown("Medium - Manageable")
+                    else:
+                        st.markdown("High - Significant burden")
+                
+                with metrics_col3:
+                    st.markdown("**Assets-to-Loan**")
+                    st.markdown(f"### {metrics['asset_to_loan']:.2f}")
+                    if metrics['asset_to_loan'] >= 2:
+                        st.markdown("Strong - Excellent coverage")
+                    elif metrics['asset_to_loan'] >= 1:
+                        st.markdown("Fair - Adequate coverage")
+                    else:
+                        st.markdown("Weak - Limited coverage")
+                
+                # Monthly Payment Analysis
+                st.subheader("Monthly Payment Analysis")
+                st.markdown(f"**Monthly Payment:** ₹{metrics['monthly_payment']:,.2f}")
+                st.markdown(f"This represents {(metrics['monthly_payment'] / metrics['monthly_income'] * 100):.2f}% of your monthly income (₹{metrics['monthly_income']:,.2f})")
+                
+                if metrics['debt_to_income'] <= 0.3:
+                    st.markdown("Excellent - Very affordable payment")
+                elif metrics['debt_to_income'] <= 0.5:
+                    st.markdown("Good - Manageable payment")
+                else:
+                    st.markdown("Caution - High payment burden")
+                
+                # Assets Information
+                st.subheader("Assets Information")
+                st.markdown(f"Total Assets: ₹{metrics['total_assets']:,.2f}")
+                
+                # Create pie chart for asset breakdown
+                asset_labels = ['Residential', 'Commercial', 'Luxury', 'Bank']
+                asset_values = [residential_assets_value, commercial_assets_value, luxury_assets_value, bank_asset_value]
+                
+                fig = px.pie(
+                    values=asset_values,
+                    names=asset_labels,
+                    title='Assets Breakdown'
+                )
+                fig.update_layout(margin=dict(l=20, r=20, t=30, b=20))
+                st.plotly_chart(fig, use_container_width=True)
+                
+        except requests.exceptions.RequestException as e:
+            st.error(f"Error making prediction: {str(e)}")
+            st.error(traceback.format_exc())
+            st.info("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload")
+
+def get_attrition_explanation(data, result):
+    """Generate personalized explanation for attrition prediction"""
+    explanation = []
+    
+    # Job Level Analysis
+    if data['job_level'] <= 2:
+        explanation.append("• **Career Growth**: Being in a junior/mid-level position may present opportunities for advancement. Consider discussing career development paths with your manager.")
+    else:
+        explanation.append("• **Senior Position**: Your senior position indicates strong career progression, which typically correlates with lower attrition.")
+    
+    # Satisfaction Analysis
+    if data['job_satisfaction'] < 3:
+        explanation.append("• **Job Satisfaction**: Your job satisfaction score indicates room for improvement. Consider discussing any concerns with your supervisor.")
+    else:
+        explanation.append("• **Job Satisfaction**: Your high job satisfaction is a positive indicator for retention.")
+        
+    if data['work_life_balance'] < 3:
+        explanation.append("• **Work-Life Balance**: Your work-life balance score suggests potential stress. Consider discussing flexible work arrangements.")
+    else:
+        explanation.append("• **Work-Life Balance**: You maintain a healthy work-life balance, which is crucial for long-term retention.")
+    
+    # Compensation Analysis
+    expected_income = 3000 * (1 + data['total_working_years'] * 0.1) * data['job_level']
+    if data['monthly_income'] < expected_income:
+        explanation.append("• **Compensation**: Your current compensation might be below market rate for your experience level. Consider discussing this during your next review.")
+    else:
+        explanation.append("• **Compensation**: Your compensation is competitive for your experience level.")
+    
+    # Experience and Tenure
+    if data['years_at_company'] < 2:
+        explanation.append("• **Tenure**: Being relatively new to the company, it's important to focus on integration and building strong relationships.")
+    elif data['years_at_company'] > 5:
+        explanation.append("• **Tenure**: Your long tenure indicates strong company loyalty and established relationships.")
+    
+    # Overall Risk Assessment
+    if result["prediction"]:
+        explanation.append("\n### Risk Mitigation Strategies:")
+        if data['job_satisfaction'] < 3:
+            explanation.append("1. Schedule a career development discussion")
+        if data['work_life_balance'] < 3:
+            explanation.append("2. Review workload and scheduling")
+        if data['monthly_income'] < expected_income:
+            explanation.append("3. Prepare for compensation discussion")
+    else:
+        explanation.append("\n### Retention Strengths:")
+        strengths = []
+        if data['job_satisfaction'] >= 3:
+            strengths.append("High job satisfaction")
+        if data['work_life_balance'] >= 3:
+            strengths.append("Good work-life balance")
+        if data['monthly_income'] >= expected_income:
+            strengths.append("Competitive compensation")
+        explanation.append("• " + ", ".join(strengths))
+    
+    return "\n".join(explanation)
+
+def show_attrition_prediction():
+    st.title("Employee Attrition Prediction")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Employee Details")
+        
+        # Personal Information
+        st.subheader("Personal Information")
+        age = st.slider("Age", 18, 65, 30)
+        
+        # Job Information
+        st.subheader("Job Information")
+        distance_from_home = st.slider("Distance From Home (km)", 1, 30, 5)
+        job_level = st.slider("Job Level", 1, 5, 2)
+        monthly_income = st.number_input("Monthly Income", min_value=1000, max_value=20000, value=5000, step=500)
+        overtime = st.selectbox("Overtime", ["Yes", "No"])
+        
+        # Work Experience
+        st.subheader("Work Experience")
+        total_working_years = st.slider("Total Working Years", 0, 40, 5)
+        years_at_company = st.slider("Years at Company", 0, 40, 3)
+        
+        # Satisfaction Metrics
+        st.subheader("Satisfaction Metrics")
+        environment_satisfaction = st.slider("Environment Satisfaction", 1, 4, 3, 
+                                          help="1=Low, 2=Medium, 3=High, 4=Very High")
+        job_satisfaction = st.slider("Job Satisfaction", 1, 4, 3,
+                                   help="1=Low, 2=Medium, 3=High, 4=Very High")
+        work_life_balance = st.slider("Work Life Balance", 1, 4, 3,
+                                    help="1=Low, 2=Medium, 3=High, 4=Very High")
+        
+        # Submit button
+        predict_button = st.button("Predict Attrition Risk")
+    
+    # Main content area
+    if predict_button:
+        # Prepare data for API
+        data = {
+            "model_type": "attrition",
+            "features": {
+                "Age": age,
+                "DistanceFromHome": distance_from_home,
+                "EnvironmentSatisfaction": environment_satisfaction,
+                "JobLevel": job_level,
+                "JobSatisfaction": job_satisfaction,
+                "MonthlyIncome": monthly_income,
+                "OverTime": overtime,
+                "TotalWorkingYears": total_working_years,
+                "WorkLifeBalance": work_life_balance,
+                "YearsAtCompany": years_at_company
+            }
+        }
+        
+        # Call API
+        with st.spinner("Predicting..."):
+            try:
+                response = requests.post(f"{API_URL}/predict", json=data)
+                
+                if response.status_code == 200:
+                    result = response.json()
+                    
+                    # Display results
+                    col1, col2 = st.columns([3, 2])
+                    
+                    with col1:
+                        # Prediction result
+                        if result["prediction"]:
+                            st.error("### High Attrition Risk ⚠️")
+                            st.markdown("This employee may be at risk of leaving.")
+                        else:
+                            st.success("### Low Attrition Risk ✅")
+                            st.markdown("This employee is likely to stay with the company.")
+                        
+                        # Add personalized explanation
+                        st.info("### Personalized Analysis")
+                        explanation_data = {
+                            'job_level': job_level,
+                            'monthly_income': monthly_income,
+                            'job_satisfaction': job_satisfaction,
+                            'work_life_balance': work_life_balance,
+                            'years_at_company': years_at_company,
+                            'total_working_years': total_working_years
+                        }
+                        st.markdown(get_attrition_explanation(explanation_data, result))
+                        
+                        # Feature importance visualization
+                        st.subheader("Factors Affecting Attrition Risk")
+                        feature_importance = {
+                            "Monthly Income": 0.20,
+                            "Years at Company": 0.15,
+                            "Job Satisfaction": 0.15,
+                            "Work Life Balance": 0.12,
+                            "Distance From Home": 0.10,
+                            "Environment Satisfaction": 0.10,
+                            "Job Level": 0.08,
+                            "Age": 0.05,
+                            "Total Working Years": 0.03,
+                            "Overtime": 0.02
+                        }
+                        
+                        feature_df = pd.DataFrame({
+                            "feature": list(feature_importance.keys()),
+                            "importance": list(feature_importance.values())
+                        })
+                        
+                        fig = px.bar(
+                            feature_df,
+                            x="importance",
+                            y="feature",
+                            orientation='h',
+                            title="Impact of Different Factors on Attrition Risk",
+                            labels={"importance": "Impact", "feature": "Factor"},
+                            height=400
+                        )
+                        st.plotly_chart(fig, use_container_width=True)
+                    
+                    with col2:
+                        # Add container for better styling
+                        with st.container():
+                            # Probability gauge
+                            st.subheader("Attrition Probability")
+                            attrition_prob = result["probability"]
+                            st.metric(
+                                label="Risk Level",
+                                value=f"{attrition_prob:.1%}"
+                            )
+                            
+                            st.markdown("---")
+                            
+                            # Employee Profile Summary
+                            st.subheader("Employee Profile")
+                            
+                            # Job Metrics
+                            metrics_col1, metrics_col2 = st.columns(2)
+                            
+                            with metrics_col1:
+                                # Job Level
+                                level_status = "good" if job_level >= 3 else "ok"
+                                level_desc = "Senior Position" if job_level >= 3 else "Junior/Mid-level Position"
+                                level_percent = (job_level / 5) * 100
+                                
+                                st.markdown(
+                                    metric_with_progress("Job Level", str(job_level), level_desc, level_status, level_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            with metrics_col2:
+                                # Years at Company
+                                tenure_status = "good" if years_at_company >= 5 else "ok"
+                                tenure_desc = "Experienced Employee" if years_at_company >= 5 else "Growing Experience"
+                                tenure_percent = min((years_at_company / 10) * 100, 100)
+                                
+                                st.markdown(
+                                    metric_with_progress("Tenure", f"{years_at_company} years", tenure_desc, tenure_status, tenure_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            # Satisfaction Metrics
+                            st.markdown("### Satisfaction Levels")
+                            
+                            sat_col1, sat_col2 = st.columns(2)
+                            
+                            with sat_col1:
+                                # Job Satisfaction
+                                job_sat_status = "good" if job_satisfaction >= 3 else "ok" if job_satisfaction >= 2 else "bad"
+                                job_sat_desc = "High Satisfaction" if job_satisfaction >= 3 else "Moderate Satisfaction" if job_satisfaction >= 2 else "Low Satisfaction"
+                                job_sat_percent = (job_satisfaction / 4) * 100
+                                
+                                st.markdown(
+                                    metric_with_progress("Job Satisfaction", f"{job_satisfaction}/4", job_sat_desc, job_sat_status, job_sat_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            with sat_col2:
+                                # Work Life Balance
+                                wlb_status = "good" if work_life_balance >= 3 else "ok" if work_life_balance >= 2 else "bad"
+                                wlb_desc = "Good Balance" if work_life_balance >= 3 else "Moderate Balance" if work_life_balance >= 2 else "Poor Balance"
+                                wlb_percent = (work_life_balance / 4) * 100
+                                
+                                st.markdown(
+                                    metric_with_progress("Work-Life Balance", f"{work_life_balance}/4", wlb_desc, wlb_status, wlb_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            # Compensation Analysis
+                            st.markdown("### Compensation Analysis")
+                            
+                            # Monthly Income vs Experience
+                            income_per_year = monthly_income * 12
+                            expected_income = 3000 * (1 + total_working_years * 0.1) * job_level  # Simple model for expected income
+                            income_ratio = income_per_year / expected_income
+                            
+                            income_status = "good" if income_ratio >= 1 else "ok" if income_ratio >= 0.8 else "bad"
+                            income_desc = f"{'Above' if income_ratio >= 1 else 'Near' if income_ratio >= 0.8 else 'Below'} expected for experience level"
+                            income_percent = min(income_ratio * 100, 100)
+                            
+                            st.markdown(
+                                metric_with_progress(
+                                    "Annual Income",
+                                    f"₹{income_per_year:,.0f}",
+                                    income_desc,
+                                    income_status,
+                                    income_percent
+                                ),
+                                unsafe_allow_html=True
+                            )
+                            
+                            # If high attrition risk, show recommendations
+                            if result["prediction"]:
+                                st.markdown("### 🚨 Retention Recommendations")
+                                
+                                recommendations = []
+                                
+                                if monthly_income < 5000:
+                                    recommendations.append("Consider a compensation review")
+                                if job_satisfaction < 3:
+                                    recommendations.append("Schedule a job satisfaction discussion")
+                                if work_life_balance < 3:
+                                    recommendations.append("Review workload and scheduling")
+                                if environment_satisfaction < 3:
+                                    recommendations.append("Assess work environment concerns")
+                                if overtime == "Yes":
+                                    recommendations.append("Review workload distribution and overtime requirements")
+                                
+                                for rec in recommendations:
+                                    st.markdown(f"• {rec}")
+                
+                else:
+                    st.error(f"Error: API returned status code {response.status_code}")
+                    try:
+                        error_detail = response.json()
+                        st.error(f"Error details: {error_detail}")
+                    except:
+                        st.code(response.text)
+                        
+            except Exception as e:
+                st.error(f"Error connecting to API: {str(e)}")
+                st.error(traceback.format_exc())
+                st.info("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload")
+
+def show_healthcare_prediction():
+    st.title("Healthcare Prediction Models")
+    st.markdown("### Select a healthcare prediction model to get started")
+
+    # Create two columns for the prediction options
+    col1, col2 = st.columns(2)
+
+    with col1:
+        st.markdown("""
+        <div class="model-card">
+            <div class="centered-content">
+                <img src="https://img.icons8.com/color/96/000000/dna-helix.png" style="margin: 20px 0;">
+            </div>
+            <div class="model-title">Diabetes Prediction</div>
+            <div class="model-description">
+                Assess the risk of diabetes based on health metrics and patient history.
+            </div>
+        </div>
+        """, unsafe_allow_html=True)
+        if st.button("Select Diabetes Prediction", key="select_diabetes"):
+            st.session_state.healthcare_model = "diabetes"
+            st.experimental_rerun()
+
+    with col2:
+        st.markdown("""
+        <div class="model-card">
+            <div class="centered-content">
+                <img src="https://img.icons8.com/color/96/000000/microscope.png" style="margin: 20px 0;">
+            </div>
+            <div class="model-title">Liver Disease Prediction</div>
+            <div class="model-description">
+                Evaluate liver health and disease risk based on patient data and lab results.
+            </div>
+        </div>
+        """, unsafe_allow_html=True)
+        if st.button("Select Liver Disease Prediction", key="select_liver"):
+            st.session_state.healthcare_model = "liver"
+            st.experimental_rerun()
+
+    # Add a back button
+    if st.button("← Back to Dashboard", key="healthcare_back"):
+        st.session_state.selected_model = None
+        st.session_state.healthcare_model = None
+        st.experimental_rerun()
+
+def get_diabetes_explanation(data, result):
+    """Generate personalized explanation for diabetes prediction"""
+    explanation = []
+    
+    # Glucose Analysis
+    if data['glucose'] < 100:
+        explanation.append("• **Glucose Level**: Your glucose level is within normal range (<100 mg/dL).")
+    elif data['glucose'] < 126:
+        explanation.append("• **Glucose Level**: Your glucose level indicates pre-diabetes (100-125 mg/dL). Consider lifestyle modifications.")
+    else:
+        explanation.append("• **Glucose Level**: Your glucose level is in the diabetic range (>126 mg/dL). Medical consultation recommended.")
+    
+    # BMI Analysis
+    if data['bmi'] < 18.5:
+        explanation.append("• **BMI**: Your BMI indicates underweight status. Consider nutritional consultation.")
+    elif data['bmi'] < 25:
+        explanation.append("• **BMI**: Your BMI is in the healthy range.")
+    elif data['bmi'] < 30:
+        explanation.append("• **BMI**: Your BMI indicates overweight status. Consider lifestyle modifications.")
+    else:
+        explanation.append("• **BMI**: Your BMI indicates obesity. This increases diabetes risk.")
+    
+    # Blood Pressure Analysis
+    if data['blood_pressure'] < 80:
+        explanation.append("• **Blood Pressure**: Your blood pressure is normal/low.")
+    elif data['blood_pressure'] < 90:
+        explanation.append("• **Blood Pressure**: Your blood pressure is elevated.")
+    else:
+        explanation.append("• **Blood Pressure**: Your blood pressure is high. This can increase diabetes risk.")
+    
+    # Family History Impact
+    if data['diabetes_pedigree'] > 0.5:
+        explanation.append("• **Family History**: Your diabetes pedigree function indicates increased hereditary risk.")
+    else:
+        explanation.append("• **Family History**: Your hereditary risk appears to be lower than average.")
+    
+    # Risk Level and Recommendations
+    if result["prediction"]:
+        explanation.append("\n### Key Risk Factors:")
+        if data['glucose'] >= 126:
+            explanation.append("1. High glucose levels")
+        if data['bmi'] >= 30:
+            explanation.append("2. Elevated BMI")
+        if data['blood_pressure'] >= 90:
+            explanation.append("3. High blood pressure")
+        
+        explanation.append("\n### Recommended Actions:")
+        explanation.append("1. Schedule a consultation with a healthcare provider")
+        if data['bmi'] >= 25:
+            explanation.append("2. Consider a structured weight management program")
+        if data['glucose'] >= 100:
+            explanation.append("3. Monitor blood glucose regularly")
+        explanation.append("4. Maintain regular physical activity")
+        explanation.append("5. Follow a balanced, low-sugar diet")
+    else:
+        explanation.append("\n### Preventive Measures:")
+        explanation.append("1. Maintain regular health check-ups")
+        explanation.append("2. Continue balanced diet and exercise")
+        explanation.append("3. Monitor glucose levels annually")
+        if data['bmi'] >= 25:
+            explanation.append("4. Consider weight management strategies")
+        if data['diabetes_pedigree'] > 0.5:
+            explanation.append("5. Regular screening due to family history")
+    
+    return "\n".join(explanation)
+
+def show_diabetes_prediction():
+    st.title("Diabetes Risk Prediction")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Patient Information")
+        
+        # Personal Information
+        st.subheader("Basic Information")
+        age = st.number_input("Age", min_value=0, max_value=120, value=30)
+        pregnancies = st.number_input("Number of Pregnancies", min_value=0, max_value=20, value=1)
+        
+        # Health Metrics
+        st.subheader("Health Metrics")
+        glucose = st.number_input("Glucose Level (mg/dL)", min_value=0, max_value=300, value=120)
+        blood_pressure = st.number_input("Blood Pressure (mm Hg)", min_value=0, max_value=200, value=70)
+        skin_thickness = st.number_input("Skin Thickness (mm)", min_value=0, max_value=100, value=20)
+        insulin = st.number_input("Insulin Level (mu U/ml)", min_value=0, max_value=1000, value=80)
+        bmi = st.number_input("BMI", min_value=0.0, max_value=70.0, value=25.0)
+        diabetes_pedigree = st.number_input("Diabetes Pedigree Function", min_value=0.0, max_value=3.0, value=0.5,
+                                          help="A function that scores likelihood of diabetes based on family history")
+        
+        # Submit button
+        predict_button = st.button("Predict Diabetes Risk", key="predict_diabetes")
+    
+    # Main content area
+    if predict_button:
+        # Prepare data for API
+        data = {
+            "model_type": "diabetes",
+            "features": {
+                "Age": age,
+                "Pregnancies": pregnancies,
+                "Glucose": glucose,
+                "BloodPressure": blood_pressure,
+                "SkinThickness": skin_thickness,
+                "Insulin": insulin,
+                "BMI": bmi,
+                "DiabetesPedigreeFunction": diabetes_pedigree
+            }
+        }
+        
+        # Call API
+        with st.spinner("Predicting..."):
+            try:
+                response = requests.post(f"{API_URL}/predict", json=data)
+                
+                if response.status_code == 200:
+                    result = response.json()
+                    
+                    # Display results
+                    col1, col2 = st.columns([3, 2])
+                    
+                    with col1:
+                        # Prediction result
+                        if result["prediction"]:
+                            st.error("### High Risk of Diabetes ⚠️")
+                            st.markdown("Based on your health metrics, our model predicts an elevated risk of diabetes.")
+                        else:
+                            st.success("### Low Risk of Diabetes ✅")
+                            st.markdown("Based on your health metrics, our model predicts a lower risk of diabetes.")
+                        
+                        # Add personalized explanation
+                        st.info("### Personalized Analysis")
+                        explanation_data = {
+                            'glucose': glucose,
+                            'bmi': bmi,
+                            'blood_pressure': blood_pressure,
+                            'diabetes_pedigree': diabetes_pedigree
+                        }
+                        st.markdown(get_diabetes_explanation(explanation_data, result))
+                        
+                        # Risk Factor Analysis
+                        st.subheader("Risk Factor Analysis")
+                        
+                        # Create radar chart for risk factors
+                        categories = ['Glucose', 'BMI', 'Age', 'Blood Pressure', 'Insulin', 'Family History']
+                        values = [glucose/300, bmi/50, age/100, blood_pressure/200, insulin/1000, diabetes_pedigree/3]
+                        
+                        fig = go.Figure()
+                        fig.add_trace(go.Scatterpolar(
+                            r=values,
+                            theta=categories,
+                            fill='toself',
+                            name='Patient Values'
+                        ))
+                        
+                        fig.update_layout(
+                            polar=dict(radialaxis=dict(visible=True, range=[0, 1])),
+                            showlegend=False
+                        )
+                        
+                        st.plotly_chart(fig)
+                    
+                    with col2:
+                        # Risk Level
+                        st.subheader("Risk Assessment")
+                        risk_probability = result["probability"]
+                        st.metric(
+                            label="Risk Level",
+                            value=f"{risk_probability:.1%}"
+                        )
+                        
+                        # Health Metrics Analysis
+                        st.markdown("### Health Metrics Analysis")
+                        
+                        # Glucose Analysis
+                        glucose_status = ("Normal" if glucose < 100 else 
+                                        "Pre-diabetic" if glucose < 126 else 
+                                        "Diabetic Range")
+                        glucose_color = ("good" if glucose < 100 else 
+                                       "ok" if glucose < 126 else 
+                                       "bad")
+                        st.markdown(
+                            metric_with_progress(
+                                "Glucose Level",
+                                f"{glucose} mg/dL",
+                                glucose_status,
+                                glucose_color,
+                                min(100, (glucose/126)*100)
+                            ),
+                            unsafe_allow_html=True
+                        )
+                        
+                        # BMI Analysis
+                        bmi_status = ("Normal" if 18.5 <= bmi <= 24.9 else 
+                                    "Underweight" if bmi < 18.5 else 
+                                    "Overweight")
+                        bmi_color = ("good" if 18.5 <= bmi <= 24.9 else "ok")
+                        st.markdown(
+                            metric_with_progress(
+                                "BMI",
+                                f"{bmi:.1f}",
+                                bmi_status,
+                                bmi_color,
+                                min(100, (bmi/30)*100)
+                            ),
+                            unsafe_allow_html=True
+                        )
+                        
+                        # Blood Pressure Analysis
+                        bp_status = ("Normal" if blood_pressure < 120 else 
+                                   "Elevated" if blood_pressure < 130 else 
+                                   "High")
+                        bp_color = ("good" if blood_pressure < 120 else 
+                                  "ok" if blood_pressure < 130 else 
+                                  "bad")
+                        st.markdown(
+                            metric_with_progress(
+                                "Blood Pressure",
+                                f"{blood_pressure} mm Hg",
+                                bp_status,
+                                bp_color,
+                                min(100, (blood_pressure/140)*100)
+                            ),
+                            unsafe_allow_html=True
+                        )
+                        
+                        # Recommendations
+                        if result["prediction"]:
+                            st.markdown("### 🚨 Recommendations")
+                            recommendations = [
+                                "Schedule a consultation with a healthcare provider",
+                                "Monitor blood glucose regularly",
+                                "Maintain a balanced, low-sugar diet",
+                                "Exercise regularly (at least 150 minutes per week)",
+                                "Consider weight management if BMI is high"
+                            ]
+                            for rec in recommendations:
+                                st.markdown(f"• {rec}")
+                
+                else:
+                    st.error(f"Error: API returned status code {response.status_code}")
+                    try:
+                        error_detail = response.json()
+                        st.error(f"Error details: {error_detail}")
+                    except:
+                        st.code(response.text)
+                        
+            except Exception as e:
+                st.error(f"Error connecting to API: {str(e)}")
+                st.error(traceback.format_exc())
+                st.info("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload")
+
+def show_liver_prediction():
+    st.title("Liver Disease Risk Prediction")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Patient Information")
+        
+        # Personal Information
+        st.subheader("Basic Information")
+        age = st.number_input("Age", min_value=0, max_value=120, value=45, key="liver_age")
+        gender = st.selectbox("Gender", ["Male", "Female"], key="liver_gender")
+        
+        # Lab Results Part 1
+        st.subheader("Lab Results (Part 1)")
+        total_bilirubin = st.number_input("Total Bilirubin", min_value=0.0, max_value=100.0, value=1.0, step=0.1, key="liver_bilirubin",
+                                        help="Normal range: 0.3-1.2 mg/dL")
+        direct_bilirubin = st.number_input("Direct Bilirubin", min_value=0.0, max_value=50.0, value=0.3, step=0.1, key="liver_direct_bilirubin",
+                                         help="Normal range: 0.0-0.3 mg/dL")
+        alkaline_phosphotase = st.number_input("Alkaline Phosphotase", min_value=0, max_value=2000, value=290, key="liver_alk_phos",
+                                             help="Normal range: 45-115 U/L")
+        
+        # Lab Results Part 2
+        st.subheader("Lab Results (Part 2)")
+        alamine_aminotransferase = st.number_input("Alamine Aminotransferase (ALT)", min_value=0, max_value=2000, value=80, key="liver_alamine",
+                                                  help="Normal range: 7-56 U/L")
+        aspartate_aminotransferase = st.number_input("Aspartate Aminotransferase (AST)", min_value=0, max_value=2000, value=70, key="liver_aspartate",
+                                                    help="Normal range: 10-40 U/L")
+        
+        # Protein Analysis
+        st.subheader("Protein Analysis")
+        total_proteins = st.number_input("Total Proteins", min_value=0.0, max_value=20.0, value=6.8, step=0.1, key="liver_proteins",
+                                       help="Normal range: 6.0-8.3 g/dL")
+        albumin = st.number_input("Albumin", min_value=0.0, max_value=10.0, value=3.3, step=0.1, key="liver_albumin",
+                                help="Normal range: 3.5-5.5 g/dL")
+        albumin_globulin_ratio = st.number_input("Albumin/Globulin Ratio", min_value=0.0, max_value=5.0, value=1.0, step=0.1, key="liver_albumin_ratio",
+                                                help="Normal range: 1.0-2.5")
+        
+        # Submit button
+        predict_button = st.button("Predict Liver Disease Risk", key="predict_liver")
+    
+    # Main content area
+    if predict_button:
+        # Prepare data for API
+        data = {
+            "model_type": "liver",
+            "features": {
+                "Age": age,
+                "Gender": gender,
+                "Total_Bilirubin": total_bilirubin,
+                "Direct_Bilirubin": direct_bilirubin,
+                "Alkaline_Phosphotase": alkaline_phosphotase,
+                "Alamine_Aminotransferase": alamine_aminotransferase,
+                "Aspartate_Aminotransferase": aspartate_aminotransferase,
+                "Total_Protiens": total_proteins,
+                "Albumin": albumin,
+                "Albumin_and_Globulin_Ratio": albumin_globulin_ratio
+            }
+        }
+        
+        # Call API
+        with st.spinner("Analyzing lab results..."):
+            try:
+                response = requests.post(f"{API_URL}/predict", json=data)
+                
+                if response.status_code == 200:
+                    result = response.json()
+                    
+                    # Display results
+                    col1, col2 = st.columns([3, 2])
+                    
+                    with col1:
+                        # Prediction result
+                        if result["prediction"]:
+                            st.error("### High Risk of Liver Disease ⚠️")
+                            st.markdown("Based on the lab results and analysis, there are indicators suggesting potential liver issues that require medical attention.")
+                        else:
+                            st.success("### Low Risk of Liver Disease ✅")
+                            st.markdown("Based on the lab results and analysis, the indicators are within normal ranges.")
+                        
+                        # Lab Results Analysis
+                        st.subheader("Lab Results Analysis")
+                        
+                        # Create metrics for each test with color-coded status
+                        metrics_data = [
+                            {
+                                "name": "Total Bilirubin",
+                                "value": total_bilirubin,
+                                "unit": "mg/dL",
+                                "normal_range": (0.3, 1.2),
+                                "description": "Measures breakdown product of red blood cells"
+                            },
+                            {
+                                "name": "Direct Bilirubin",
+                                "value": direct_bilirubin,
+                                "unit": "mg/dL",
+                                "normal_range": (0.0, 0.3),
+                                "description": "Measures conjugated bilirubin"
+                            },
+                            {
+                                "name": "Alkaline Phosphotase",
+                                "value": alkaline_phosphotase,
+                                "unit": "U/L",
+                                "normal_range": (45, 115),
+                                "description": "Enzyme found in liver and bone"
+                            },
+                            {
+                                "name": "ALT",
+                                "value": alamine_aminotransferase,
+                                "unit": "U/L",
+                                "normal_range": (7, 56),
+                                "description": "Liver-specific enzyme"
+                            },
+                            {
+                                "name": "AST",
+                                "value": aspartate_aminotransferase,
+                                "unit": "U/L",
+                                "normal_range": (10, 40),
+                                "description": "Enzyme found in liver and other tissues"
+                            }
+                        ]
+                        
+                        # Display metrics in a grid
+                        for i in range(0, len(metrics_data), 2):
+                            col1_metric, col2_metric = st.columns(2)
+                            
+                            with col1_metric:
+                                metric = metrics_data[i]
+                                value = metric["value"]
+                                min_val, max_val = metric["normal_range"]
+                                status = "good" if min_val <= value <= max_val else "bad"
+                                progress = min(100, (value / max_val) * 100)
+                                
+                                st.markdown(
+                                    metric_with_progress(
+                                        metric["name"],
+                                        f"{value} {metric['unit']}",
+                                        f"Normal range: {min_val}-{max_val} {metric['unit']}",
+                                        status,
+                                        progress
+                                    ),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            if i + 1 < len(metrics_data):
+                                with col2_metric:
+                                    metric = metrics_data[i + 1]
+                                    value = metric["value"]
+                                    min_val, max_val = metric["normal_range"]
+                                    status = "good" if min_val <= value <= max_val else "bad"
+                                    progress = min(100, (value / max_val) * 100)
+                                    
+                                    st.markdown(
+                                        metric_with_progress(
+                                            metric["name"],
+                                            f"{value} {metric['unit']}",
+                                            f"Normal range: {min_val}-{max_val} {metric['unit']}",
+                                            status,
+                                            progress
+                                        ),
+                                        unsafe_allow_html=True
+                                    )
+                        
+                        # Protein Analysis
+                        st.subheader("Protein Analysis")
+                        protein_metrics = [
+                            {
+                                "name": "Total Proteins",
+                                "value": total_proteins,
+                                "unit": "g/dL",
+                                "normal_range": (6.0, 8.3),
+                                "description": "Total protein in blood"
+                            },
+                            {
+                                "name": "Albumin",
+                                "value": albumin,
+                                "unit": "g/dL",
+                                "normal_range": (3.5, 5.5),
+                                "description": "Main protein in blood"
+                            },
+                            {
+                                "name": "A/G Ratio",
+                                "value": albumin_globulin_ratio,
+                                "unit": "",
+                                "normal_range": (1.0, 2.5),
+                                "description": "Ratio of albumin to globulin"
+                            }
+                        ]
+                        
+                        # Display protein metrics
+                        for metric in protein_metrics:
+                            value = metric["value"]
+                            min_val, max_val = metric["normal_range"]
+                            status = "good" if min_val <= value <= max_val else "bad"
+                            progress = min(100, (value / max_val) * 100)
+                            
+                            st.markdown(
+                                metric_with_progress(
+                                    metric["name"],
+                                    f"{value} {metric['unit']}",
+                                    f"Normal range: {min_val}-{max_val} {metric['unit']}",
+                                    status,
+                                    progress
+                                ),
+                                unsafe_allow_html=True
+                            )
+                    
+                    with col2:
+                        # Risk Assessment
+                        st.subheader("Risk Assessment")
+                        risk_probability = result["probability"]
+                        st.metric(
+                            label="Risk Level",
+                            value=f"{risk_probability:.1%}"
+                        )
+                        
+                        # Create radar chart for key indicators
+                        st.subheader("Key Indicators Analysis")
+                        
+                        # Normalize values for radar chart
+                        radar_data = {
+                            'Liver Function': min(1, (alamine_aminotransferase / 56 + aspartate_aminotransferase / 40) / 2),
+                            'Bilirubin': min(1, total_bilirubin / 1.2),
+                            'Protein Status': min(1, (total_proteins / 8.3 + albumin / 5.5) / 2),
+                            'Enzyme Levels': min(1, alkaline_phosphotase / 115),
+                            'A/G Balance': min(1, albumin_globulin_ratio / 2.5)
+                        }
+                        
+                        fig = go.Figure()
+                        fig.add_trace(go.Scatterpolar(
+                            r=list(radar_data.values()),
+                            theta=list(radar_data.keys()),
+                            fill='toself',
+                            name='Patient Values'
+                        ))
+                        
+                        fig.update_layout(
+                            polar=dict(radialaxis=dict(visible=True, range=[0, 1])),
+                            showlegend=False
+                        )
+                        
+                        st.plotly_chart(fig)
+                        
+                        # Recommendations
+                        if result["prediction"]:
+                            st.markdown("### 🚨 Recommendations")
+                            recommendations = []
+                            
+                            # Add recommendations based on test results
+                            if total_bilirubin > 1.2:
+                                recommendations.append("• Further liver enzyme tests recommended")
+                                if direct_bilirubin > 0.3:
+                                    recommendations.append("• Evaluate for liver/bone conditions")
+                            
+                            if total_proteins < 6.0:
+                                recommendations.append("• Improve protein nutrition")
+                                recommendations.append("• Consult a nutritionist")
+                            
+                            if alkaline_phosphotase > 115:
+                                recommendations.append("• Consult a hepatologist for detailed evaluation")
+                                recommendations.append("• Consider ultrasound or imaging studies")
+                            
+                            if alamine_aminotransferase > 56 or aspartate_aminotransferase > 40:
+                                recommendations.append("• Maintain a liver-healthy diet")
+                                recommendations.append("• Avoid alcohol and hepatotoxic substances")
+                            
+                            # Add follow-up recommendation based on severity
+                            abnormal_count = sum([
+                                total_bilirubin > 1.2,
+                                direct_bilirubin > 0.3,
+                                alkaline_phosphotase > 115,
+                                alamine_aminotransferase > 56,
+                                aspartate_aminotransferase > 40,
+                                total_proteins < 6.0,
+                                albumin < 3.5
+                            ])
+                            
+                            if abnormal_count >= 3:
+                                recommendations.append("• Regular follow-up monitoring every 3 months")
+                            elif abnormal_count >= 1:
+                                recommendations.append("• Follow-up monitoring every 6 months")
+                            else:
+                                recommendations.append("• Annual health check-up recommended")
+                            
+                            for rec in recommendations:
+                                st.markdown(rec)
+                        else:
+                            st.markdown("### ✅ Preventive Measures")
+                            preventive_measures = []
+                            
+                            # Add personalized preventive measures
+                            if total_bilirubin > 0.8:
+                                preventive_measures.append("• Monitor bilirubin levels during routine check-ups")
+                            
+                            if total_proteins < 7.0:
+                                preventive_measures.append("• Maintain adequate protein intake through balanced diet")
+                            
+                            if albumin < 4.0:
+                                preventive_measures.append("• Focus on protein-rich foods to maintain albumin levels")
+                            
+                            # Add general preventive measures based on age and gender
+                            if age > 40:
+                                preventive_measures.append("• Regular liver function screening every 6-12 months")
+                            else:
+                                preventive_measures.append("• Annual liver function screening")
+                            
+                            preventive_measures.extend([
+                                "• Maintain a balanced, liver-friendly diet",
+                                "• Regular exercise to support liver health",
+                                "• Limit alcohol consumption",
+                                "• Stay well-hydrated"
+                            ])
+                            
+                            for measure in preventive_measures:
+                                st.markdown(measure)
+                
+                else:
+                    st.error(f"Error: API returned status code {response.status_code}")
+                    try:
+                        error_detail = response.json()
+                        st.error(f"Error details: {error_detail}")
+                    except:
+                        st.code(response.text)
+                        
+            except Exception as e:
+                st.error(f"Error connecting to API: {str(e)}")
+                st.error(traceback.format_exc())
+                st.info("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload")
+
+def main():
+    # Initialize session state for model selection if not exists
+    if 'selected_model' not in st.session_state:
+        st.session_state.selected_model = None
+    if 'healthcare_model' not in st.session_state:
+        st.session_state.healthcare_model = None
+    
+    # Show dashboard if no model is selected
+    if st.session_state.selected_model is None:
+        show_dashboard()
+        return
+    
+    # Add a "Back to Dashboard" button
+    if st.sidebar.button("← Back to Dashboard"):
+        st.session_state.selected_model = None
+        st.session_state.healthcare_model = None
+        st.experimental_rerun()
+    
+    # Show the selected model's interface
+    if st.session_state.selected_model == "loan":
+        show_loan_prediction()
+    elif st.session_state.selected_model == "attrition":
+        show_attrition_prediction()
+    elif st.session_state.selected_model == "healthcare":
+        if st.session_state.healthcare_model == "diabetes":
+            show_diabetes_prediction()
+        elif st.session_state.healthcare_model == "liver":
+            show_liver_prediction()
+        else:
+            show_healthcare_prediction()
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/src/frontend/attrition_prediction.py b/src/frontend/attrition_prediction.py
new file mode 100644
index 0000000000000000000000000000000000000000..e78af4b070b43138ac996a8ed1cd5eae92efb13b
--- /dev/null
+++ b/src/frontend/attrition_prediction.py
@@ -0,0 +1,321 @@
+import streamlit as st
+import requests
+import pandas as pd
+import plotly.express as px
+
+# Function to create status box
+def status_box(status, text):
+    if status == "good":
+        return f'<div class="status-box status-good">{text}</div>'
+    elif status == "ok":
+        return f'<div class="status-box status-ok">{text}</div>'
+    else:
+        return f'<div class="status-box status-bad">{text}</div>'
+
+# Function to create a metric with progress bar
+def metric_with_progress(label, value, description, status, progress_percent):
+    progress_class = "progress-good" if status == "good" else "progress-ok" if status == "ok" else "progress-bad"
+    return f"""
+    <div class="metric-label">{label}</div>
+    <div class="metric-value">{value}</div>
+    <div class="metric-desc">{description}</div>
+    <div class="progress-container">
+        <div class="progress-bar {progress_class}" style="width: {progress_percent}%"></div>
+    </div>
+    """
+
+# Custom CSS for styling
+st.markdown("""
+<style>
+    .status-box {
+        display: inline-block;
+        padding: 6px 0px;
+        border-radius: 4px;
+        text-align: center;
+        font-weight: bold;
+        width: 100%;
+        white-space: nowrap;
+        font-size: 14px;
+    }
+    .status-good {
+        background-color: #0e5814;
+        color: white;
+    }
+    .status-ok {
+        background-color: #9c6a00;
+        color: white;
+    }
+    .status-bad {
+        background-color: #8b0000;
+        color: white;
+    }
+    .metric-label {
+        font-size: 18px;
+        font-weight: bold;
+        margin-bottom: 5px;
+    }
+    .metric-value {
+        font-size: 28px;
+        font-weight: bold;
+    }
+    .metric-desc {
+        font-size: 14px;
+        color: #ccc;
+        margin-top: 5px;
+    }
+    .progress-container {
+        width: 100%;
+        background-color: #333;
+        border-radius: 5px;
+        margin-top: 10px;
+    }
+    .progress-bar {
+        height: 10px;
+        border-radius: 5px;
+    }
+    .progress-good {
+        background-color: #0e5814;
+    }
+    .progress-ok {
+        background-color: #9c6a00;
+    }
+    .progress-bad {
+        background-color: #8b0000;
+    }
+</style>
+""", unsafe_allow_html=True)
+
+def show_attrition_prediction():
+    st.title("Employee Attrition Prediction")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Employee Details")
+        
+        # Personal Information
+        st.subheader("Personal Information")
+        age = st.slider("Age", 18, 65, 30)
+        
+        # Job Information
+        st.subheader("Job Information")
+        distance_from_home = st.slider("Distance From Home (km)", 1, 30, 5)
+        job_level = st.slider("Job Level", 1, 5, 2)
+        
+        # Work Experience
+        st.subheader("Work Experience")
+        total_working_years = st.slider("Total Working Years", 0, 40, 5)
+        years_at_company = st.slider("Years at Company", 0, 40, 3)
+        
+        # Compensation
+        st.subheader("Compensation")
+        monthly_income = st.number_input("Monthly Income", min_value=1000, max_value=20000, value=5000, step=500)
+        
+        # Work Environment & Satisfaction
+        st.subheader("Work Environment & Satisfaction")
+        environment_satisfaction = st.slider("Environment Satisfaction", 1, 4, 3, 
+                                          help="1=Low, 2=Medium, 3=High, 4=Very High")
+        job_satisfaction = st.slider("Job Satisfaction", 1, 4, 3,
+                                   help="1=Low, 2=Medium, 3=High, 4=Very High")
+        work_life_balance = st.slider("Work Life Balance", 1, 4, 3,
+                                    help="1=Low, 2=Medium, 3=High, 4=Very High")
+        overtime = st.selectbox("Overtime", ["Yes", "No"])
+        
+        # Submit button
+        predict_button = st.button("Predict Attrition Risk")
+    
+    # Main content area
+    if predict_button:
+        # Prepare data for API
+        data = {
+            "model_type": "attrition",
+            "features": {
+                # Top 10 most important features
+                "Age": age,
+                "DistanceFromHome": distance_from_home,
+                "EnvironmentSatisfaction": environment_satisfaction,
+                "JobLevel": job_level,
+                "JobSatisfaction": job_satisfaction,
+                "MonthlyIncome": monthly_income,
+                "OverTime": overtime,
+                "TotalWorkingYears": total_working_years,
+                "WorkLifeBalance": work_life_balance,
+                "YearsAtCompany": years_at_company
+            }
+        }
+        
+        # Call API
+        with st.spinner("Predicting..."):
+            try:
+                response = requests.post("http://127.0.0.1:8000/predict", json=data)
+                
+                if response.status_code == 200:
+                    result = response.json()
+                    
+                    # Display results
+                    col1, col2 = st.columns([3, 2])
+                    
+                    with col1:
+                        # Prediction result
+                        if result["prediction"] == 0:
+                            st.success("### Low Attrition Risk ✅")
+                            st.markdown("This employee is likely to stay with the company.")
+                        else:
+                            st.error("### High Attrition Risk ⚠️")
+                            st.markdown("This employee may be at risk of leaving.")
+                        
+                        # Enhanced explanation
+                        st.info("### Key Factors")
+                        
+                        # Feature importance visualization - Updated with actual top 10 features
+                        st.subheader("Factors Affecting Attrition Risk")
+                        feature_importance = {
+                            "Monthly Income": 0.20,
+                            "Years at Company": 0.15,
+                            "Overtime": 0.12,
+                            "Job Satisfaction": 0.11,
+                            "Distance From Home": 0.10,
+                            "Work Life Balance": 0.09,
+                            "Age": 0.08,
+                            "Job Level": 0.06,
+                            "Total Working Years": 0.05,
+                            "Environment Satisfaction": 0.04
+                        }
+                        
+                        feature_df = pd.DataFrame({
+                            "feature": list(feature_importance.keys()),
+                            "importance": list(feature_importance.values())
+                        })
+                        
+                        fig = px.bar(
+                            feature_df,
+                            x="importance",
+                            y="feature",
+                            orientation='h',
+                            title="Impact of Different Factors on Attrition Risk",
+                            labels={"importance": "Impact", "feature": "Factor"},
+                            height=400
+                        )
+                        st.plotly_chart(fig, use_container_width=True)
+                    
+                    with col2:
+                        # Add container for better styling
+                        with st.container():
+                            # Probability gauge
+                            st.subheader("Attrition Probability")
+                            attrition_prob = result["probability"]
+                            st.metric(
+                                label="Risk Level",
+                                value=f"{attrition_prob:.1%}"
+                            )
+                            
+                            st.markdown("---")
+                            
+                            # Employee Profile Summary
+                            st.subheader("Employee Profile")
+                            
+                            # Job Metrics
+                            metrics_col1, metrics_col2 = st.columns(2)
+                            
+                            with metrics_col1:
+                                # Job Level
+                                level_status = "good" if job_level >= 3 else "ok"
+                                level_desc = "Senior Position" if job_level >= 3 else "Junior/Mid-level Position"
+                                level_percent = (job_level / 5) * 100
+                                
+                                st.markdown(
+                                    metric_with_progress("Job Level", str(job_level), level_desc, level_status, level_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            with metrics_col2:
+                                # Years at Company
+                                tenure_status = "good" if years_at_company >= 5 else "ok"
+                                tenure_desc = "Experienced Employee" if years_at_company >= 5 else "Growing Experience"
+                                tenure_percent = min((years_at_company / 10) * 100, 100)
+                                
+                                st.markdown(
+                                    metric_with_progress("Tenure", f"{years_at_company} years", tenure_desc, tenure_status, tenure_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            # Satisfaction Metrics
+                            st.markdown("### Satisfaction Levels")
+                            
+                            sat_col1, sat_col2 = st.columns(2)
+                            
+                            with sat_col1:
+                                # Job Satisfaction
+                                job_sat_status = "good" if job_satisfaction >= 3 else "ok" if job_satisfaction >= 2 else "bad"
+                                job_sat_desc = "High Satisfaction" if job_satisfaction >= 3 else "Moderate Satisfaction" if job_satisfaction >= 2 else "Low Satisfaction"
+                                job_sat_percent = (job_satisfaction / 4) * 100
+                                
+                                st.markdown(
+                                    metric_with_progress("Job Satisfaction", f"{job_satisfaction}/4", job_sat_desc, job_sat_status, job_sat_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            with sat_col2:
+                                # Work Life Balance
+                                wlb_status = "good" if work_life_balance >= 3 else "ok" if work_life_balance >= 2 else "bad"
+                                wlb_desc = "Good Balance" if work_life_balance >= 3 else "Moderate Balance" if work_life_balance >= 2 else "Poor Balance"
+                                wlb_percent = (work_life_balance / 4) * 100
+                                
+                                st.markdown(
+                                    metric_with_progress("Work-Life Balance", f"{work_life_balance}/4", wlb_desc, wlb_status, wlb_percent),
+                                    unsafe_allow_html=True
+                                )
+                            
+                            # Compensation Analysis
+                            st.markdown("### Compensation Analysis")
+                            
+                            # Monthly Income vs Experience
+                            income_per_year = monthly_income * 12
+                            expected_income = 3000 * (1 + total_working_years * 0.1) * job_level  # Simple model for expected income
+                            income_ratio = income_per_year / expected_income
+                            
+                            income_status = "good" if income_ratio >= 1 else "ok" if income_ratio >= 0.8 else "bad"
+                            income_desc = f"{'Above' if income_ratio >= 1 else 'Near' if income_ratio >= 0.8 else 'Below'} expected for experience level"
+                            income_percent = min(income_ratio * 100, 100)
+                            
+                            st.markdown(
+                                metric_with_progress(
+                                    "Annual Income",
+                                    f"₹{income_per_year:,.0f}",
+                                    income_desc,
+                                    income_status,
+                                    income_percent
+                                ),
+                                unsafe_allow_html=True
+                            )
+                            
+                            # If high attrition risk, show recommendations
+                            if result["prediction"] == 1:
+                                st.markdown("### 🚨 Retention Recommendations")
+                                
+                                recommendations = []
+                                
+                                if monthly_income < 5000:
+                                    recommendations.append("Consider a compensation review")
+                                if job_satisfaction < 3:
+                                    recommendations.append("Schedule a job satisfaction discussion")
+                                if work_life_balance < 3:
+                                    recommendations.append("Review workload and scheduling")
+                                if overtime == "Yes":
+                                    recommendations.append("Evaluate workload distribution and overtime requirements")
+                                if environment_satisfaction < 3:
+                                    recommendations.append("Assess work environment concerns")
+                                
+                                for rec in recommendations:
+                                    st.markdown(f"• {rec}")
+                
+                else:
+                    st.error(f"Error: API returned status code {response.status_code}")
+                    try:
+                        error_detail = response.json()
+                        st.error(f"Error details: {error_detail}")
+                    except:
+                        st.code(response.text)
+                        
+            except Exception as e:
+                st.error(f"Error connecting to API: {str(e)}")
+                st.error("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload") 
\ No newline at end of file
diff --git a/src/frontend/diabetes_prediction_app.py b/src/frontend/diabetes_prediction_app.py
new file mode 100644
index 0000000000000000000000000000000000000000..6accd2a2c75a2be30caeac7066146e3f6b59b9ae
--- /dev/null
+++ b/src/frontend/diabetes_prediction_app.py
@@ -0,0 +1,349 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import pickle
+import plotly.graph_objects as go
+from PIL import Image
+
+# Load the trained model and related objects
+@st.cache_resource
+def load_model_and_objects():
+    try:
+        with open('diabetes_model.pkl', 'rb') as f:
+            model = pickle.load(f)
+        with open('diabetes_feature_names.pkl', 'rb') as f:
+            feature_names = pickle.load(f)
+        with open('diabetes_model_metrics.pkl', 'rb') as f:
+            model_metrics = pickle.load(f)
+        return model, feature_names, model_metrics
+    except Exception as e:
+        st.error(f"Error loading model files: {e}")
+        return None, None, None
+
+model, feature_names, model_metrics = load_model_and_objects()
+
+# Display header
+st.title("🩺 Diabetes Prediction System")
+st.markdown("### Enter the patient's information to predict diabetes risk")
+
+# Display model metrics in sidebar
+if model_metrics:
+    st.sidebar.title("Model Information")
+    st.sidebar.markdown(f"Model Type: {model_metrics.get('model_name', 'Unknown')}")
+    st.sidebar.markdown(f"Accuracy: {model_metrics.get('testing_accuracy', 0):.2%}")
+    st.sidebar.markdown(f"AUC: {model_metrics.get('roc_auc', 0):.2%}")
+    
+    # Show top features as text-based visualization
+    st.sidebar.title("Key Factors in Diabetes Risk")
+    try:
+        top_features = pd.DataFrame(model_metrics['feature_importance'])
+        top_features = top_features.sort_values('importance', ascending=False).head(5)
+        
+        # Removed the "Top 5 Important Features" heading
+        
+        # Get max importance for scaling
+        max_importance = top_features['importance'].max()
+        
+        # Feature descriptions
+        feature_descriptions = {
+            'Glucose': "Blood glucose level",
+            'BMI': "Body Mass Index",
+            'Age': "Patient's age",
+            'Insulin': "Insulin level in blood",
+            'DiabetesPedigreeFunction': "Diabetes hereditary factor",
+            'BloodPressure': "Blood pressure measurement",
+            'Pregnancies': "Number of pregnancies",
+            'SkinThickness': "Skin fold thickness"
+        }
+        
+        # Add custom CSS for better styling with light blue bars
+        st.markdown("""
+        <style>
+        .feature-importance {
+            margin-bottom: 12px;
+            background-color: rgba(49, 51, 63, 0.7);
+            border-radius: 5px;
+            padding: 10px;
+        }
+        .feature-name {
+            font-weight: bold;
+            margin-bottom: 2px;
+            display: flex;
+            justify-content: space-between;
+        }
+        .feature-description {
+            font-size: 0.85em;
+            color: #9e9e9e;
+            margin-bottom: 5px;
+        }
+        .importance-bar {
+            height: 8px;
+            background-color: #4682B4;  /* Changed to Steel Blue - a light blue shade */
+            border-radius: 4px;
+            margin-top: 5px;
+        }
+        .importance-value {
+            color: #9e9e9e;
+            font-size: 0.9em;
+            font-weight: normal;
+        }
+        </style>
+        """, unsafe_allow_html=True)
+        
+        # Create text-based visualization for each feature
+        for _, row in top_features.iterrows():
+            feature = row['feature']
+            importance = row['importance']
+            percentage = int((importance / max_importance) * 100)
+            
+            # Get feature description or use a default
+            description = feature_descriptions.get(feature, "")
+            
+            # Format feature name for display
+            display_name = feature.replace('_', ' ').title()
+            
+            # Special case for DiabetesPedigreeFunction
+            if feature == 'DiabetesPedigreeFunction':
+                display_name = "Diabetes Pedigree Function"
+            
+            st.sidebar.markdown(f"""
+            <div class="feature-importance">
+                <div class="feature-name">{display_name} <span class="importance-value">{importance:.3f}</span></div>
+                <div class="feature-description">{description}</div>
+                <div class="importance-bar" style="width: {percentage}%;"></div>
+            </div>
+            """, unsafe_allow_html=True)
+    
+    except Exception as e:
+        st.sidebar.write("Could not display feature importance information.")
+
+# Create input form
+with st.form("diabetes_form"):
+    col1, col2 = st.columns(2)
+    
+    with col1:
+        pregnancies = st.number_input("Number of Pregnancies", min_value=0, max_value=20, value=1)
+        glucose = st.number_input("Glucose Level (mg/dL)", min_value=0, max_value=300, value=120)
+        blood_pressure = st.number_input("Blood Pressure (mm Hg)", min_value=0, max_value=200, value=70)
+        skin_thickness = st.number_input("Skin Thickness (mm)", min_value=0, max_value=100, value=20)
+        
+    with col2:
+        insulin = st.number_input("Insulin Level (mu U/ml)", min_value=0, max_value=1000, value=80)
+        bmi = st.number_input("BMI", min_value=0.0, max_value=70.0, value=25.0)
+        diabetes_pedigree = st.number_input("Diabetes Pedigree Function", min_value=0.0, max_value=3.0, value=0.5, 
+                                           help="A function that scores likelihood of diabetes based on family history")
+        age = st.number_input("Age", min_value=0, max_value=120, value=30)
+    
+    submit_button = st.form_submit_button("Predict Diabetes Risk")
+
+if submit_button and model is not None:
+    # Create input dataframe with the exact same features used during training
+    input_data = {
+        'Pregnancies': pregnancies,
+        'Glucose': glucose,
+        'BloodPressure': blood_pressure,
+        'SkinThickness': skin_thickness,
+        'Insulin': insulin,
+        'BMI': bmi,
+        'DiabetesPedigreeFunction': diabetes_pedigree,
+        'Age': age
+    }
+    
+    # Create DataFrame
+    input_df = pd.DataFrame([input_data])
+    
+    # Ensure all required features are present
+    if feature_names:
+        # Add any missing features with default values
+        for feature in feature_names:
+            if feature not in input_df.columns:
+                input_df[feature] = 0
+        
+        # Reorder columns to match training data
+        input_df = input_df[feature_names]
+    
+    # Make prediction
+    try:
+        # Use the model's predict method directly with the DataFrame
+        prediction = model.predict(input_df)[0]
+        prediction_proba = model.predict_proba(input_df)[0]
+        
+        # Display result
+        st.subheader("Prediction Result")
+        
+        if prediction == 1:
+            st.markdown(f"""
+            <div class="error-box">
+                <h3>⚠️ High Risk of Diabetes (Confidence: {prediction_proba[1]:.2%})</h3>
+                <p>Based on the patient's profile, our model predicts a high risk of diabetes.</p>
+            </div>
+            """, unsafe_allow_html=True)
+        else:
+            st.markdown(f"""
+            <div class="success-box">
+                <h3>✅ Low Risk of Diabetes (Confidence: {prediction_proba[0]:.2%})</h3>
+                <p>Based on the patient's profile, our model predicts a low risk of diabetes.</p>
+            </div>
+            """, unsafe_allow_html=True)
+        
+        # Display risk factors
+        st.subheader("Risk Factor Analysis")
+        
+        # Create a radar chart for risk factors
+        categories = ['Glucose', 'BMI', 'Age', 'Blood Pressure', 'Insulin', 'Family History']
+        
+        # Define reference ranges for each category
+        reference_ranges = {
+            'Glucose': {'low': 70, 'normal': 99, 'high': 126, 'max': 300},
+            'BMI': {'low': 18.5, 'normal': 24.9, 'high': 30, 'max': 50},
+            'Age': {'low': 0, 'normal': 40, 'high': 60, 'max': 100},
+            'Blood Pressure': {'low': 60, 'normal': 80, 'high': 90, 'max': 200},
+            'Insulin': {'low': 0, 'normal': 100, 'high': 200, 'max': 1000},
+            'Family History': {'low': 0, 'normal': 0.5, 'high': 1, 'max': 3}
+        }
+        
+        # Normalize values to 0-1 scale for radar chart
+        normalized_values = [
+            min(1, max(0, (glucose - reference_ranges['Glucose']['low']) / 
+                      (reference_ranges['Glucose']['max'] - reference_ranges['Glucose']['low']))),
+            min(1, max(0, (bmi - reference_ranges['BMI']['low']) / 
+                      (reference_ranges['BMI']['max'] - reference_ranges['BMI']['low']))),
+            min(1, max(0, (age - reference_ranges['Age']['low']) / 
+                      (reference_ranges['Age']['max'] - reference_ranges['Age']['low']))),
+            min(1, max(0, (blood_pressure - reference_ranges['Blood Pressure']['low']) / 
+                      (reference_ranges['Blood Pressure']['max'] - reference_ranges['Blood Pressure']['low']))),
+            min(1, max(0, (insulin - reference_ranges['Insulin']['low']) / 
+                      (reference_ranges['Insulin']['max'] - reference_ranges['Insulin']['low']))),
+            min(1, max(0, (diabetes_pedigree - reference_ranges['Family History']['low']) / 
+                      (reference_ranges['Family History']['max'] - reference_ranges['Family History']['low'])))
+        ]
+        
+        # Create radar chart
+        fig = go.Figure()
+        
+        fig.add_trace(go.Scatterpolar(
+            r=normalized_values,
+            theta=categories,
+            fill='toself',
+            name='Patient Values',
+            line_color='indianred'
+        ))
+        
+        # Add normal range reference
+        normal_values = [
+            (reference_ranges['Glucose']['normal'] - reference_ranges['Glucose']['low']) / 
+            (reference_ranges['Glucose']['max'] - reference_ranges['Glucose']['low']),
+            (reference_ranges['BMI']['normal'] - reference_ranges['BMI']['low']) / 
+            (reference_ranges['BMI']['max'] - reference_ranges['BMI']['low']),
+            (reference_ranges['Age']['normal'] - reference_ranges['Age']['low']) / 
+            (reference_ranges['Age']['max'] - reference_ranges['Age']['low']),
+            (reference_ranges['Blood Pressure']['normal'] - reference_ranges['Blood Pressure']['low']) / 
+            (reference_ranges['Blood Pressure']['max'] - reference_ranges['Blood Pressure']['low']),
+            (reference_ranges['Insulin']['normal'] - reference_ranges['Insulin']['low']) / 
+            (reference_ranges['Insulin']['max'] - reference_ranges['Insulin']['low']),
+            (reference_ranges['Family History']['normal'] - reference_ranges['Family History']['low']) / 
+            (reference_ranges['Family History']['max'] - reference_ranges['Family History']['low'])
+        ]
+        
+        fig.add_trace(go.Scatterpolar(
+            r=normal_values,
+            theta=categories,
+            fill='toself',
+            name='Normal Range',
+            line_color='lightseagreen',
+            opacity=0.3
+        ))
+        
+        fig.update_layout(
+            polar=dict(
+                radialaxis=dict(
+                    visible=True,
+                    range=[0, 1]
+                )
+            ),
+            showlegend=True,
+            title="Risk Factor Analysis"
+        )
+        
+        st.plotly_chart(fig)
+        
+        # Display detailed metrics
+        col1, col2 = st.columns(2)
+        
+        with col1:
+            st.markdown("### Key Metrics Analysis")
+            
+            # Glucose analysis
+            if glucose < 70:
+                glucose_status = "Low (Hypoglycemia)"
+                glucose_color = "blue"
+            elif glucose < 100:
+                glucose_status = "Normal"
+                glucose_color = "green"
+            elif glucose < 126:
+                glucose_status = "Prediabetes"
+                glucose_color = "orange"
+            else:
+                glucose_status = "Diabetes range"
+                glucose_color = "red"
+                
+            st.markdown(f"Glucose: {glucose} mg/dL - <span style='color:{glucose_color}'>{glucose_status}</span>", unsafe_allow_html=True)
+            
+            # BMI analysis
+            if bmi < 18.5:
+                bmi_status = "Underweight"
+                bmi_color = "blue"
+            elif bmi < 25:
+                bmi_status = "Normal weight"
+                bmi_color = "green"
+            elif bmi < 30:
+                bmi_status = "Overweight"
+                bmi_color = "orange"
+            else:
+                bmi_status = "Obese"
+                bmi_color = "red"
+                
+            st.markdown(f"BMI: {bmi:.1f} - <span style='color:{bmi_color}'>{bmi_status}</span>", unsafe_allow_html=True)
+            
+            # Blood pressure analysis
+            if blood_pressure < 60:
+                bp_status = "Low (Hypotension)"
+                bp_color = "blue"
+            elif blood_pressure < 80:
+                bp_status = "Normal"
+                bp_color = "green"
+            elif blood_pressure < 90:
+                bp_status = "Elevated"
+                bp_color = "orange"
+            else:
+                bp_status = "High (Hypertension)"
+                bp_color = "red"
+                
+            st.markdown(f"Blood Pressure: {blood_pressure} mm Hg - <span style='color:{bp_color}'>{bp_status}</span>", unsafe_allow_html=True)
+        
+        with col2:
+            st.markdown("### Recommendations")
+            
+            if prediction == 1:
+                st.markdown("""
+                - Consult with a healthcare provider for a comprehensive diabetes assessment
+                - Consider glucose tolerance testing
+                - Monitor blood glucose levels regularly
+                - Maintain a healthy diet and regular exercise routine
+                - Limit sugar and refined carbohydrate intake
+                """)
+            else:
+                st.markdown("""
+                - Continue maintaining a healthy lifestyle
+                - Regular check-ups to monitor glucose levels
+                - Stay physically active
+                - Maintain a balanced diet
+                - Consider annual diabetes screening, especially if risk factors are present
+                """)
+    
+    except Exception as e:
+        st.error(f"Error making prediction: {e}")
+        st.write("Please try again with different values or check if the model is loaded correctly.")
+else:
+    if not model:
+        st.warning("⚠️ Model not loaded correctly. Please check if all model files are present.")
\ No newline at end of file
diff --git a/src/frontend/liver_disease_prediction.py b/src/frontend/liver_disease_prediction.py
new file mode 100644
index 0000000000000000000000000000000000000000..b5ac884945f397ef50e710bdd8d2ba3a20395212
--- /dev/null
+++ b/src/frontend/liver_disease_prediction.py
@@ -0,0 +1,307 @@
+import streamlit as st
+import requests
+import pandas as pd
+import plotly.express as px
+import plotly.graph_objects as go
+import traceback
+
+def show_liver_disease_prediction():
+    st.title("Liver Disease Prediction")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Patient Details")
+        
+        # Personal Information
+        st.subheader("Personal Information")
+        age = st.slider("Age", 10, 90, 45)
+        gender = st.radio("Gender", ["Male", "Female"])
+        
+        # Liver Function Tests
+        st.subheader("Liver Function Tests")
+        total_bilirubin = st.number_input("Total Bilirubin", min_value=0.1, max_value=100.0, value=1.0, step=0.1,
+                                         help="Normal range: 0.3-1.2 mg/dL")
+        direct_bilirubin = st.number_input("Direct Bilirubin", min_value=0.0, max_value=50.0, value=0.3, step=0.1,
+                                          help="Normal range: 0.0-0.3 mg/dL")
+        
+        # Enzyme Levels
+        st.subheader("Enzyme Levels")
+        alkaline_phosphotase = st.number_input("Alkaline Phosphotase", min_value=20, max_value=2000, value=290, step=10,
+                                              help="Normal range: 44-147 IU/L")
+        alamine_aminotransferase = st.number_input("Alamine Aminotransferase (ALT)", min_value=1, max_value=2000, value=40, step=1,
+                                                  help="Normal range: 7-55 IU/L")
+        aspartate_aminotransferase = st.number_input("Aspartate Aminotransferase (AST)", min_value=1, max_value=2000, value=40, step=1,
+                                                    help="Normal range: 8-48 IU/L")
+        
+        # Protein Levels
+        st.subheader("Protein Levels")
+        total_protiens = st.number_input("Total Proteins", min_value=1.0, max_value=10.0, value=6.8, step=0.1,
+                                        help="Normal range: 6.0-8.3 g/dL")
+        albumin = st.number_input("Albumin", min_value=0.5, max_value=10.0, value=3.5, step=0.1,
+                                 help="Normal range: 3.5-5.0 g/dL")
+        albumin_globulin_ratio = st.number_input("Albumin/Globulin Ratio", min_value=0.1, max_value=5.0, value=1.0, step=0.1,
+                                                help="Normal range: 0.8-2.0")
+        
+        # Submit button
+        predict_button = st.button("Predict Liver Disease Risk")
+    
+    # Main content area
+    if predict_button:
+        # Prepare data for API
+        features = {
+            "Age": age,
+            "Gender": gender,
+            "Total_Bilirubin": total_bilirubin,
+            "Direct_Bilirubin": direct_bilirubin,
+            "Alkaline_Phosphotase": alkaline_phosphotase,
+            "Alamine_Aminotransferase": alamine_aminotransferase,
+            "Aspartate_Aminotransferase": aspartate_aminotransferase,
+            "Total_Protiens": total_protiens,
+            "Albumin": albumin,
+            "Albumin_and_Globulin_Ratio": albumin_globulin_ratio
+        }
+        
+        # Call API
+        with st.spinner("Predicting..."):
+            try:
+                response = requests.post(
+                    "http://localhost:8000/predict/liver",
+                    json=features
+                )
+                
+                if response.status_code == 200:
+                    result = response.json()
+                    
+                    # Display results
+                    col1, col2 = st.columns([3, 2])
+                    
+                    with col1:
+                        # Prediction result
+                        if result["prediction"]:
+                            st.error("### High Risk of Liver Disease ⚠️")
+                            st.markdown("The patient shows indicators consistent with potential liver disease.")
+                        else:
+                            st.success("### Low Risk of Liver Disease ✅")
+                            st.markdown("The patient's indicators suggest normal liver function.")
+                        
+                        # Enhanced explanation
+                        st.info("### Key Indicators Analysis")
+                        
+                        # Create a dataframe to show normal ranges vs patient values
+                        indicators = {
+                            "Indicator": [
+                                "Total Bilirubin", 
+                                "Direct Bilirubin",
+                                "Alkaline Phosphotase",
+                                "ALT",
+                                "AST",
+                                "Total Proteins",
+                                "Albumin",
+                                "Albumin/Globulin Ratio"
+                            ],
+                            "Patient Value": [
+                                total_bilirubin,
+                                direct_bilirubin,
+                                alkaline_phosphotase,
+                                alamine_aminotransferase,
+                                aspartate_aminotransferase,
+                                total_protiens,
+                                albumin,
+                                albumin_globulin_ratio
+                            ],
+                            "Normal Range": [
+                                "0.3-1.2 mg/dL",
+                                "0.0-0.3 mg/dL",
+                                "44-147 IU/L",
+                                "7-55 IU/L",
+                                "8-48 IU/L",
+                                "6.0-8.3 g/dL",
+                                "3.5-5.0 g/dL",
+                                "0.8-2.0"
+                            ],
+                            "Status": [
+                                "Normal" if 0.3 <= total_bilirubin <= 1.2 else "Abnormal",
+                                "Normal" if 0.0 <= direct_bilirubin <= 0.3 else "Abnormal",
+                                "Normal" if 44 <= alkaline_phosphotase <= 147 else "Abnormal",
+                                "Normal" if 7 <= alamine_aminotransferase <= 55 else "Abnormal",
+                                "Normal" if 8 <= aspartate_aminotransferase <= 48 else "Abnormal",
+                                "Normal" if 6.0 <= total_protiens <= 8.3 else "Abnormal",
+                                "Normal" if 3.5 <= albumin <= 5.0 else "Abnormal",
+                                "Normal" if 0.8 <= albumin_globulin_ratio <= 2.0 else "Abnormal"
+                            ]
+                        }
+                        
+                        indicators_df = pd.DataFrame(indicators)
+                        
+                        # Style the dataframe
+                        def highlight_abnormal(val):
+                            if val == "Abnormal":
+                                return 'background-color: #ffcccb'
+                            else:
+                                return 'background-color: #90ee90'
+                        
+                        styled_df = indicators_df.style.applymap(highlight_abnormal, subset=['Status'])
+                        st.dataframe(styled_df, use_container_width=True)
+                        
+                        # Feature importance visualization if available
+                        if "feature_importance" in result and result["feature_importance"]:
+                            st.subheader("Factors Affecting Liver Disease Risk")
+                            
+                            # Create feature importance dataframe
+                            feature_names = list(features.keys())
+                            importance_values = result["feature_importance"]
+                            
+                            # If lengths don't match, use default values
+                            if len(importance_values) != len(feature_names):
+                                importance_values = [0.15, 0.05, 0.12, 0.08, 0.18, 0.14, 0.10, 0.08, 0.06, 0.04]
+                            
+                            importance_df = pd.DataFrame({
+                                "Feature": feature_names,
+                                "Importance": importance_values
+                            })
+                            importance_df = importance_df.sort_values("Importance", ascending=False)
+                            
+                            fig = px.bar(
+                                importance_df,
+                                x="Importance",
+                                y="Feature",
+                                orientation='h',
+                                title="Feature Importance",
+                                color="Importance",
+                                color_continuous_scale=["#90ee90", "#ffcccb"]
+                            )
+                            st.plotly_chart(fig, use_container_width=True)
+                        
+                        # Recommendations section
+                        st.subheader("Recommendations")
+                        if result["prediction"]:
+                            st.markdown("""
+                            * **Consult a Hepatologist:** Schedule an appointment with a liver specialist for further evaluation
+                            * **Additional Testing:** Consider ultrasound, CT scan, or liver biopsy for definitive diagnosis
+                            * **Lifestyle Changes:** 
+                                * Limit alcohol consumption
+                                * Maintain a healthy weight
+                                * Follow a liver-friendly diet low in processed foods and sugar
+                                * Regular exercise
+                            * **Medication Review:** Discuss current medications with your doctor as some may affect liver function
+                            """)
+                        else:
+                            st.markdown("""
+                            * **Regular Check-ups:** Continue routine health screenings
+                            * **Healthy Lifestyle:** 
+                                * Maintain a balanced diet rich in fruits, vegetables, and whole grains
+                                * Regular physical activity
+                                * Limit alcohol consumption
+                                * Stay hydrated
+                            * **Liver Protection:** Avoid unnecessary medications that may strain the liver
+                            """)
+                    
+                    with col2:
+                        # Risk probability gauge
+                        st.subheader("Disease Risk Probability")
+                        
+                        probability = result["probability"]
+                        
+                        # Create gauge chart
+                        fig = go.Figure(go.Indicator(
+                            mode="gauge+number",
+                            value=probability * 100,
+                            domain={'x': [0, 1], 'y': [0, 1]},
+                            title={'text': "Risk Level"},
+                            gauge={
+                                'axis': {'range': [0, 100], 'tickwidth': 1},
+                                'bar': {'color': "darkred" if probability > 0.7 else "orange" if probability > 0.3 else "green"},
+                                'steps': [
+                                    {'range': [0, 30], 'color': 'rgba(0, 128, 0, 0.3)'},
+                                    {'range': [30, 70], 'color': 'rgba(255, 165, 0, 0.3)'},
+                                    {'range': [70, 100], 'color': 'rgba(255, 0, 0, 0.3)'}
+                                ],
+                                'threshold': {
+                                    'line': {'color': "red", 'width': 4},
+                                    'thickness': 0.75,
+                                    'value': probability * 100
+                                }
+                            }
+                        ))
+                        
+                        fig.update_layout(
+                            height=300,
+                            margin=dict(l=20, r=20, t=50, b=20)
+                        )
+                        
+                        st.plotly_chart(fig, use_container_width=True)
+                        
+                        # Risk level explanation
+                        risk_level = "High" if probability > 0.7 else "Moderate" if probability > 0.3 else "Low"
+                        risk_color = "red" if probability > 0.7 else "orange" if probability > 0.3 else "green"
+                        
+                        st.markdown(f"<div style='text-align: center; font-size: 24px; font-weight: bold; color: {risk_color};'>{risk_level} Risk</div>", unsafe_allow_html=True)
+                        
+                        # Liver health score
+                        st.subheader("Liver Health Indicators")
+                        
+                        # Calculate abnormal indicators
+                        abnormal_count = sum(1 for status in indicators["Status"] if status == "Abnormal")
+                        health_score = 100 - (abnormal_count / len(indicators["Status"])) * 100
+                        
+                        # Display health score
+                        st.metric(
+                            label="Liver Health Score", 
+                            value=f"{health_score:.1f}%",
+                            delta=None
+                        )
+                        
+                        # Create progress bar for health score
+                        health_color = "green" if health_score > 70 else "orange" if health_score > 40 else "red"
+                        st.markdown(f"""
+                        <div style="width: 100%; background-color: #ddd; border-radius: 5px;">
+                            <div style="width: {health_score}%; height: 20px; background-color: {health_color}; border-radius: 5px;"></div>
+                        </div>
+                        """, unsafe_allow_html=True)
+                        
+                        # Age and gender analysis
+                        st.subheader("Demographic Analysis")
+                        
+                        # Age risk factor
+                        age_risk = "Higher" if age > 50 else "Moderate" if age > 35 else "Lower"
+                        age_color = "red" if age > 50 else "orange" if age > 35 else "green"
+                        
+                        st.markdown(f"""
+                        <div style="margin-top: 10px;">
+                            <span style="font-weight: bold;">Age Risk Factor:</span> 
+                            <span style="color: {age_color};">{age_risk}</span>
+                        </div>
+                        """, unsafe_allow_html=True)
+                        
+                        # Gender risk factor
+                        gender_risk = "Higher" if gender == "Male" else "Lower"
+                        gender_color = "orange" if gender == "Male" else "green"
+                        
+                        st.markdown(f"""
+                        <div style="margin-top: 10px;">
+                            <span style="font-weight: bold;">Gender Risk Factor:</span> 
+                            <span style="color: {gender_color};">{gender_risk}</span>
+                        </div>
+                        <div style="margin-top: 5px; font-size: 12px; color: #888;">
+                            Males typically have higher risk of liver disease than females.
+                        </div>
+                        """, unsafe_allow_html=True)
+                        
+                        # Disclaimer
+                        st.info("⚠️ Disclaimer: This prediction is for informational purposes only and should not replace professional medical advice.")
+                
+                else:
+                    st.error(f"Error: API returned status code {response.status_code}")
+                    try:
+                        error_detail = response.json()
+                        st.error(f"Error details: {error_detail}")
+                    except:
+                        st.error(response.text)
+                        
+            except Exception as e:
+                st.error(f"Error connecting to API: {str(e)}")
+                st.error(traceback.format_exc())
+                st.info("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload")
+
+if __name__ == "__main__":
+    show_liver_disease_prediction()
\ No newline at end of file
diff --git a/src/frontend/loan_prediction.py b/src/frontend/loan_prediction.py
new file mode 100644
index 0000000000000000000000000000000000000000..303424d53d38b59639eb7bb93e8858cf4b333a97
--- /dev/null
+++ b/src/frontend/loan_prediction.py
@@ -0,0 +1,255 @@
+import streamlit as st
+import requests
+import pandas as pd
+import plotly.express as px
+import traceback
+
+# API endpoint
+API_URL = "http://127.0.0.1:8000/predict"
+
+def show_loan_prediction():
+    st.title("Loan Approval Prediction System")
+    
+    # Create sidebar for inputs
+    with st.sidebar:
+        st.header("Loan Application Details")
+        
+        # Personal information
+        st.subheader("Personal Information")
+        no_of_dependents = st.slider("Number of Dependents", 0, 10, 2)
+        education = st.selectbox("Education", ["Graduate", "Not Graduate"])
+        self_employed = st.selectbox("Self Employed", ["Yes", "No"])
+        
+        # Financial information
+        st.subheader("Financial Information")
+        income_annum = st.number_input("Annual Income (₹)", min_value=100000, max_value=20000000, value=5000000, step=100000)
+        loan_amount = st.number_input("Loan Amount (₹)", min_value=100000, max_value=50000000, value=10000000, step=100000)
+        loan_term = st.slider("Loan Term (years)", 2, 30, 15)
+        cibil_score = st.slider("CIBIL Score", 300, 900, 650)
+        
+        # Assets information
+        st.subheader("Assets Information")
+        residential_assets_value = st.number_input("Residential Assets Value (₹)", min_value=0, max_value=50000000, value=5000000, step=100000)
+        commercial_assets_value = st.number_input("Commercial Assets Value (₹)", min_value=0, max_value=50000000, value=2000000, step=100000)
+        luxury_assets_value = st.number_input("Luxury Assets Value (₹)", min_value=0, max_value=50000000, value=1000000, step=100000)
+        bank_asset_value = st.number_input("Bank Assets Value (₹)", min_value=0, max_value=50000000, value=3000000, step=100000)
+        
+        # Submit button
+        predict_button = st.button("Predict Loan Approval")
+    
+    # Main content area
+    if predict_button or ('prediction_result' in st.session_state and st.session_state.prediction_result):
+        # If button was just pressed, API call happens
+        if predict_button:
+            # Prepare data for API
+            data = {
+                "no_of_dependents": no_of_dependents,
+                "education": education,
+                "self_employed": self_employed,
+                "income_annum": income_annum,
+                "loan_amount": loan_amount,
+                "loan_term": loan_term,
+                "cibil_score": cibil_score,
+                "residential_assets_value": residential_assets_value,
+                "commercial_assets_value": commercial_assets_value,
+                "luxury_assets_value": luxury_assets_value,
+                "bank_asset_value": bank_asset_value
+            }
+            
+            # Call API
+            with st.spinner("Predicting..."):
+                try:
+                    # Update the API endpoint to use the specific loan endpoint
+                    response = requests.post(
+                        "http://127.0.0.1:8000/predict/loan",
+                        json={"features": data}
+                    )
+                    
+                    if response.status_code == 200:
+                        result = response.json()
+                        
+                        # Store result in session state
+                        st.session_state.prediction_result = result
+                        st.session_state.loan_data = data
+                except Exception as e:
+                    st.error(f"Error connecting to API: {str(e)}")
+                    st.error(traceback.format_exc())
+                    st.info("Make sure the FastAPI backend is running with: python -m uvicorn src.api.main:app --reload")
+                    return
+        
+        # Use stored result if available
+        if 'prediction_result' in st.session_state:
+            result = st.session_state.prediction_result
+            data = st.session_state.loan_data
+            
+            # Display prediction result
+            if result["prediction"]:
+                st.success("### Loan Approved! ✅")
+            else:
+                st.error("### Loan Rejected ❌")
+            
+            # Display approval probability
+            col1, col2 = st.columns(2)
+            with col1:
+                st.subheader("Explanation")
+                st.write("Based on your financial profile and application details, here's why your loan was approved/rejected.")
+                
+                # Display factors affecting application
+                st.subheader("Factors Affecting Your Application")
+                
+                # Create feature importance dataframe
+                feature_names = [
+                    "CIBIL Score", 
+                    "Annual Income", 
+                    "Loan Amount", 
+                    "Loan Term", 
+                    "Residential Assets",
+                    "Commercial Assets",
+                    "Luxury Assets",
+                    "Bank Assets",
+                    "Dependents",
+                    "Education",
+                    "Self Employed"
+                ]
+                
+                # Make sure we have the right number of feature names
+                importance_values = result.get("feature_importance", [])
+                
+                # If no feature importance is returned, create dummy values
+                if not importance_values:
+                    importance_values = [0.2, 0.15, 0.15, 0.1, 0.1, 0.08, 0.07, 0.05, 0.05, 0.03, 0.02]
+                
+                # Adjust lengths if needed
+                if len(importance_values) != len(feature_names):
+                    if len(importance_values) > len(feature_names):
+                        feature_names = feature_names + [f"Feature {i+1}" for i in range(len(feature_names), len(importance_values))]
+                    else:
+                        importance_values = importance_values + [0] * (len(feature_names) - len(importance_values))
+                
+                # Create and sort the dataframe
+                importance_df = pd.DataFrame({
+                    "Feature": feature_names[:len(importance_values)],
+                    "Importance": importance_values
+                })
+                importance_df = importance_df.sort_values("Importance", ascending=False)
+                
+                # Create the bar chart
+                fig = px.bar(
+                    importance_df,
+                    x="Importance",
+                    y="Feature",
+                    orientation='h',
+                    color="Importance",
+                    color_continuous_scale=px.colors.sequential.Blues
+                )
+                fig.update_layout(
+                    margin=dict(l=20, r=20, t=30, b=20),
+                    height=400
+                )
+                st.plotly_chart(fig, use_container_width=True)
+            
+            with col2:
+                # Display approval probability
+                st.subheader("Approval Probability")
+                st.markdown("### Confidence")
+                probability = result["probability"] * 100
+                st.markdown(f"### {probability:.2f}%")
+                
+                # Display financial metrics
+                st.subheader("Application Summary")
+                st.subheader("Detailed Financial Metrics")
+                
+                metrics_col1, metrics_col2, metrics_col3 = st.columns(3)
+                
+                with metrics_col1:
+                    st.markdown("**CIBIL Score**")
+                    st.markdown(f"### {data['cibil_score']}")
+                    if data['cibil_score'] >= 700:
+                        st.markdown("Good - Favorable credit history")
+                    elif data['cibil_score'] >= 600:
+                        st.markdown("Fair - Average credit history")
+                    else:
+                        st.markdown("Poor - Unfavorable credit history")
+                
+                with metrics_col2:
+                    # Calculate debt-to-income ratio
+                    monthly_income = data['income_annum'] / 12
+                    loan_amount = data['loan_amount']
+                    interest_rate = 0.08  # Assuming 8% interest rate
+                    loan_term_months = data['loan_term'] * 12
+                    
+                    # Calculate monthly payment using the formula: P = L[i(1+i)^n]/[(1+i)^n-1]
+                    monthly_interest = interest_rate / 12
+                    monthly_payment = loan_amount * (monthly_interest * (1 + monthly_interest) ** loan_term_months) / ((1 + monthly_interest) ** loan_term_months - 1)
+                    
+                    debt_to_income = monthly_payment / monthly_income
+                    
+                    st.markdown("**Debt-to-Income**")
+                    st.markdown(f"### {debt_to_income:.2f}")
+                    
+                    if debt_to_income <= 0.36:
+                        st.markdown("Low - Manageable debt burden")
+                    elif debt_to_income <= 0.43:
+                        st.markdown("Medium - Moderate debt burden")
+                    else:
+                        st.markdown("High - Significant debt burden")
+                
+                with metrics_col3:
+                    # Calculate assets-to-loan ratio
+                    total_assets = data['residential_assets_value'] + data['commercial_assets_value'] + data['luxury_assets_value'] + data['bank_asset_value']
+                    assets_to_loan = total_assets / loan_amount
+                    
+                    st.markdown("**Assets-to-Loan**")
+                    st.markdown(f"### {assets_to_loan:.2f}")
+                    
+                    if assets_to_loan >= 2:
+                        st.markdown("Strong - Excellent asset coverage")
+                    elif assets_to_loan >= 1:
+                        st.markdown("Fair - Minimal asset coverage")
+                    else:
+                        st.markdown("Weak - Insufficient asset coverage")
+                
+                # Monthly payment analysis
+                st.subheader("Monthly Payment Analysis")
+                
+                payment_col1, payment_col2 = st.columns(2)
+                
+                with payment_col1:
+                    st.markdown("**Monthly Payment**")
+                    st.markdown(f"### ₹{monthly_payment:,.2f}")
+                    
+                    payment_ratio = monthly_payment / monthly_income
+                    payment_percentage = payment_ratio * 100
+                    
+                    st.markdown(f"This represents {payment_percentage:.2f}% of your monthly income (₹{monthly_income:,.2f}).")
+                    
+                    if payment_ratio <= 0.28:
+                        st.markdown("Excellent - Very affordable payment")
+                    elif payment_ratio <= 0.36:
+                        st.markdown("Good - Affordable payment")
+                    elif payment_ratio <= 0.43:
+                        st.markdown("Fair - Manageable payment")
+                    else:
+                        st.markdown("Poor - High payment burden")
+                
+                with payment_col2:
+                    # Create pie chart for income allocation
+                    remaining_income = monthly_income - monthly_payment
+                    
+                    income_allocation = pd.DataFrame({
+                        'Category': ['Loan Payment', 'Remaining Income'],
+                        'Amount': [monthly_payment, remaining_income]
+                    })
+                    
+                    fig = px.pie(
+                        income_allocation, 
+                        values='Amount', 
+                        names='Category',
+                        color_discrete_sequence=['#FF9900', '#0066CC'],
+                        hole=0.4
+                    )
+                    fig.update_layout(
+                        margin=dict(l=20, r=20, t=20, b=20),
+                        height=200
+                    )
+                    st.plotly_chart(fig, use_container_width=True)
\ No newline at end of file
diff --git a/src/models/__init__.py b/src/models/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a586467f8c4715a8319f920b02f195d6db953d45
--- /dev/null
+++ b/src/models/__init__.py
@@ -0,0 +1,4 @@
+"""
+Models package for the Synthack project.
+Contains machine learning models for loan approval, employee attrition, and healthcare predictions.
+""" 
\ No newline at end of file
diff --git a/src/models/__pycache__/__init__.cpython-311.pyc b/src/models/__pycache__/__init__.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..c31c2c26aae5ddad949f734d95df57cb1e2c8d89
--- /dev/null
+++ b/src/models/__pycache__/__init__.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ff6ef9c7ba3dcd44a7251900b79578133aa70dda84dc2b3465615fee8cc8c26
+size 128
diff --git a/src/models/__pycache__/loan_model.cpython-311.pyc b/src/models/__pycache__/loan_model.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..cfa97d9243e38e4cc265aba89d9fb0819976a85b
--- /dev/null
+++ b/src/models/__pycache__/loan_model.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8072438722251cc9a76f29322385f0a7019497623b22b5b9dc7102cdb5522c85
+size 130
diff --git a/src/models/attrition_model.joblib b/src/models/attrition_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..b07dc0f6a48429a0f77d8080216e15f4b5bdd62e
--- /dev/null
+++ b/src/models/attrition_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be55187c2b3b3cd38681756acb90167f6b902b2a8193283e5711095bc3606074
+size 132
diff --git a/src/models/base_model.py b/src/models/base_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..6129814dee0678952533eacb571fc251d5902af7
--- /dev/null
+++ b/src/models/base_model.py
@@ -0,0 +1,77 @@
+import joblib
+import numpy as np
+from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
+from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score
+
+class LoanApprovalModel:
+    def __init__(self, model_type='random_forest'):
+        self.model_type = model_type
+        self.model = self._get_model()
+        self.preprocessor = None
+        self.feature_names = None
+        
+    def _get_model(self):
+        if self.model_type == 'random_forest':
+            return RandomForestClassifier(n_estimators=100, random_state=42)
+        elif self.model_type == 'gradient_boosting':
+            return GradientBoostingClassifier(random_state=42)
+        else:
+            raise ValueError(f"Unsupported model type: {self.model_type}")
+            
+    def train(self, preprocessor, X_train, y_train, feature_names=None):
+        """Train the model"""
+        self.preprocessor = preprocessor
+        self.feature_names = feature_names
+        
+        # Transform the data
+        X_train_processed = preprocessor.fit_transform(X_train)
+        
+        # Train the model
+        self.model.fit(X_train_processed, y_train)
+        
+    def predict(self, X):
+        """Make predictions"""
+        X_processed = self.preprocessor.transform(X)
+        return self.model.predict(X_processed)
+        
+    def predict_proba(self, X):
+        """Get prediction probabilities"""
+        X_processed = self.preprocessor.transform(X)
+        return self.model.predict_proba(X_processed)
+        
+    def evaluate(self, X_test, y_test):
+        """Evaluate model performance"""
+        y_pred = self.predict(X_test)
+        y_proba = self.predict_proba(X_test)[:, 1]
+        
+        metrics = {
+            'accuracy': accuracy_score(y_test, y_pred),
+            'precision': precision_score(y_test, y_pred),
+            'recall': recall_score(y_test, y_pred),
+            'f1': f1_score(y_test, y_pred),
+            'roc_auc': roc_auc_score(y_test, y_proba)
+        }
+        
+        return metrics
+        
+    def save_model(self, filepath):
+        """Save model to disk"""
+        model_data = {
+            'model': self.model,
+            'preprocessor': self.preprocessor,
+            'feature_names': self.feature_names,
+            'model_type': self.model_type
+        }
+        joblib.dump(model_data, filepath)
+        
+    @classmethod
+    def load_model(cls, filepath):
+        """Load model from disk"""
+        model_data = joblib.load(filepath)
+        
+        model_instance = cls(model_type=model_data['model_type'])
+        model_instance.model = model_data['model']
+        model_instance.preprocessor = model_data['preprocessor']
+        model_instance.feature_names = model_data['feature_names']
+        
+        return model_instance
\ No newline at end of file
diff --git a/src/models/loan_model.joblib b/src/models/loan_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..bf3aa718ba277db8a3d912c887610aefa659b3aa
--- /dev/null
+++ b/src/models/loan_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c72d0133df88d5f88badd1179675d4f4495f17b24b8f7837a47c964961979a1
+size 132
diff --git a/src/test_trained_model.py b/src/test_trained_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..e6a5c41bbe84f681cbfd0aad0d5d92d5312ba41b
--- /dev/null
+++ b/src/test_trained_model.py
@@ -0,0 +1,74 @@
+import pandas as pd
+import os
+from models.loan_model import LoanApprovalModel
+
+def test_trained_model():
+    # Check if model exists
+    model_path = 'models/loan_model.joblib'
+    if not os.path.exists(model_path):
+        print(f"Error: Trained model not found at {model_path}")
+        print("Please run 'python src/train_model.py' first to train the model")
+        return
+    
+    # Load the trained model
+    print(f"Loading trained model from {model_path}...")
+    model = LoanApprovalModel.load(model_path)
+    
+    # Print available categories for categorical features
+    print("\nAvailable categories in the trained model:")
+    for col, encoder in model.label_encoders.items():
+        print(f"{col}: {list(encoder.classes_)}")
+    
+    # Test with a good application (likely to be approved)
+    good_application = {
+        'no_of_dependents': 2,
+        'education': ' Graduate',  # Note the space before Graduate to match dataset format
+        'self_employed': ' No',    # Note the space before No to match dataset format
+        'income_annum': 8000000,
+        'loan_amount': 15000000,
+        'loan_term': 10,
+        'cibil_score': 750,
+        'residential_assets_value': 10000000,
+        'commercial_assets_value': 5000000,
+        'luxury_assets_value': 20000000,
+        'bank_asset_value': 7000000
+    }
+    
+    # Test with a risky application (likely to be rejected)
+    risky_application = {
+        'no_of_dependents': 5,
+        'education': ' Not Graduate',  # Note the space before Not Graduate
+        'self_employed': ' Yes',       # Note the space before Yes
+        'income_annum': 2000000,
+        'loan_amount': 15000000,
+        'loan_term': 20,
+        'cibil_score': 350,
+        'residential_assets_value': 2000000,
+        'commercial_assets_value': 1000000,
+        'luxury_assets_value': 5000000,
+        'bank_asset_value': 1000000
+    }
+    
+    # Make predictions
+    print("\nTesting with a good application:")
+    good_result = model.predict(good_application)
+    print(f"Prediction: {'Approved' if good_result['prediction'] == 1 else 'Rejected'}")
+    print(f"Confidence: {good_result['probability']:.2%}")
+    print(f"Explanation: {good_result['explanation']['text']}")
+    
+    print("\nTop 3 factors:")
+    for i, factor in enumerate(good_result['feature_importance'][:3]):
+        print(f"{i+1}. {factor['feature']}: {factor['importance']:.4f}")
+    
+    print("\nTesting with a risky application:")
+    risky_result = model.predict(risky_application)
+    print(f"Prediction: {'Approved' if risky_result['prediction'] == 1 else 'Rejected'}")
+    print(f"Confidence: {risky_result['probability']:.2%}")
+    print(f"Explanation: {risky_result['explanation']['text']}")
+    
+    print("\nTop 3 factors:")
+    for i, factor in enumerate(risky_result['feature_importance'][:3]):
+        print(f"{i+1}. {factor['feature']}: {factor['importance']:.4f}")
+
+if __name__ == "__main__":
+    test_trained_model()
\ No newline at end of file
diff --git a/src/train_loan_model.py b/src/train_loan_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..3b832e60bbee5cb4f58526508c9e7a5226180c3d
--- /dev/null
+++ b/src/train_loan_model.py
@@ -0,0 +1,143 @@
+import pandas as pd
+import numpy as np
+from sklearn.model_selection import train_test_split
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.preprocessing import StandardScaler, LabelEncoder
+from sklearn.metrics import accuracy_score, classification_report
+import joblib
+import os
+import logging
+import shap
+import sys
+
+# Add the project root to the Python path
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+# Now import from src
+from src.api.loan_model import LoanApprovalModel
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+class LoanModelTrainer:
+    def __init__(self):
+        self.model = RandomForestClassifier(n_estimators=100, random_state=42)
+        self.scaler = StandardScaler()
+        self.label_encoders = {}
+        
+    def load_data(self, file_path):
+        """Load and preprocess the loan approval dataset."""
+        logger.info("Loading dataset...")
+        df = pd.read_csv(file_path)
+        
+        # Convert loan status to binary
+        df['loan_status'] = df['loan_status'].map({'Approved': 1, 'Rejected': 0})
+        
+        # Calculate derived features
+        df['debt_to_income'] = df['loan_amount'] / df['income_annum']
+        df['total_assets'] = df['residential_assets_value'] + df['commercial_assets_value'] + df['luxury_assets_value'] + df['bank_asset_value']
+        df['asset_to_loan'] = df['total_assets'] / df['loan_amount']
+        
+        # Define features
+        numerical_features = [
+            'no_of_dependents', 'income_annum', 'loan_amount', 'loan_term',
+            'cibil_score', 'residential_assets_value', 'commercial_assets_value',
+            'luxury_assets_value', 'bank_asset_value', 'debt_to_income',
+            'total_assets', 'asset_to_loan'
+        ]
+        
+        categorical_features = ['education', 'self_employed']
+        
+        # Encode categorical features
+        for feature in categorical_features:
+            self.label_encoders[feature] = LabelEncoder()
+            df[feature] = self.label_encoders[feature].fit_transform(df[feature])
+        
+        # Prepare X and y
+        X = df[numerical_features + categorical_features]
+        y = df['loan_status']
+        
+        return X, y, numerical_features, categorical_features
+        
+    def train(self, X, y, numerical_features, categorical_features):
+        """Train the model and evaluate its performance."""
+        logger.info("Splitting data into train and test sets...")
+        X_train, X_test, y_train, y_test = train_test_split(
+            X, y, test_size=0.2, random_state=42
+        )
+        
+        # Scale numerical features
+        logger.info("Scaling numerical features...")
+        X_train[numerical_features] = self.scaler.fit_transform(X_train[numerical_features])
+        X_test[numerical_features] = self.scaler.transform(X_test[numerical_features])
+        
+        # Train the model
+        logger.info("Training the model...")
+        self.model.fit(X_train, y_train)
+        
+        # Evaluate the model
+        logger.info("Evaluating the model...")
+        y_pred = self.model.predict(X_test)
+        accuracy = accuracy_score(y_test, y_pred)
+        report = classification_report(y_test, y_pred)
+        
+        logger.info(f"Model accuracy: {accuracy:.4f}")
+        logger.info("Classification Report:")
+        logger.info(report)
+        
+        return accuracy, report
+        
+    def save_model(self, save_dir='models'):
+        """Save the trained model and preprocessing objects."""
+        logger.info("Saving model components...")
+        os.makedirs(save_dir, exist_ok=True)
+        
+        # Save model components
+        joblib.dump(self.model, os.path.join(save_dir, 'loan_model.joblib'))
+        joblib.dump(self.scaler, os.path.join(save_dir, 'loan_scaler.joblib'))
+        joblib.dump(self.label_encoders, os.path.join(save_dir, 'loan_label_encoders.joblib'))
+        
+        logger.info("Model components saved successfully.")
+
+def train_loan_model():
+    # Create models directory if it doesn't exist
+    model_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "models")
+    os.makedirs(model_dir, exist_ok=True)
+    
+    # Load the dataset
+    data_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "loan_approval_dataset.csv")
+    data = pd.read_csv(data_path)
+    
+    # Clean column names and string values by removing leading/trailing spaces
+    data.columns = data.columns.str.strip()
+    for col in data.select_dtypes(include=['object']).columns:
+        data[col] = data[col].str.strip()
+    
+    # Remove rows with NaN values
+    data = data.dropna()
+    
+    # Convert loan status to binary
+    data['loan_status'] = data['loan_status'].map({'Approved': 1, 'Rejected': 0})
+    
+    # Separate features and target
+    X = data.drop(['loan_status', 'loan_id'], axis=1)  # Also drop loan_id as it's not a feature
+    y = data['loan_status']
+    
+    print("Dataset shape:", X.shape)
+    print("Number of approved loans:", sum(y == 1))
+    print("Number of rejected loans:", sum(y == 0))
+    
+    # Initialize model without loading existing components
+    model = LoanApprovalModel(model_dir=model_dir, load_model=False)
+    
+    # Train the model
+    model.train(X, y)
+    
+    # Save the model
+    model.save(model_dir)
+    
+    print(f"Model trained and saved successfully in {model_dir}!")
+
+if __name__ == "__main__":
+    train_loan_model()
\ No newline at end of file
diff --git a/src/train_model.py b/src/train_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..25f49f7014ffe6af4af3b3b7fb1eb10229795fb4
--- /dev/null
+++ b/src/train_model.py
@@ -0,0 +1,77 @@
+import pandas as pd
+import numpy as np
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import StandardScaler, OneHotEncoder
+from sklearn.compose import ColumnTransformer
+from sklearn.pipeline import Pipeline
+from sklearn.ensemble import RandomForestClassifier
+import pickle
+import os
+
+# Get the project root directory
+project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+# Load the dataset
+data_path = os.path.join(project_root, 'data', 'loan_approval_dataset.csv')
+print(f"Loading data from: {data_path}")
+df = pd.read_csv(data_path)
+
+# Clean column names (remove leading/trailing spaces)
+df.columns = df.columns.str.strip()
+
+# Clean string values (remove leading/trailing spaces)
+for col in df.select_dtypes(include=['object']).columns:
+    df[col] = df[col].str.strip()
+
+# Identify numerical and categorical columns
+numerical_features = ['no_of_dependents', 'income_annum', 'loan_amount', 'loan_term', 
+                     'cibil_score', 'residential_assets_value', 'commercial_assets_value', 
+                     'luxury_assets_value', 'bank_asset_value']
+categorical_features = ['education', 'self_employed']
+
+# Prepare features and target
+X = df[numerical_features + categorical_features]
+y = df['loan_status'].map({'Approved': 1, 'Rejected': 0})
+
+# Create preprocessing pipeline
+numeric_transformer = Pipeline(steps=[
+    ('scaler', StandardScaler())
+])
+
+categorical_transformer = Pipeline(steps=[
+    ('onehot', OneHotEncoder(handle_unknown='ignore'))
+])
+
+preprocessor = ColumnTransformer(
+    transformers=[
+        ('num', numeric_transformer, numerical_features),
+        ('cat', categorical_transformer, categorical_features)
+    ])
+
+# Create full pipeline
+model = Pipeline(steps=[
+    ('preprocessor', preprocessor),
+    ('classifier', RandomForestClassifier(n_estimators=100, random_state=42))
+])
+
+# Split the data
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+# Fit the model
+model.fit(X_train, y_train)
+
+# Evaluate the model
+train_score = model.score(X_train, y_train)
+test_score = model.score(X_test, y_test)
+print(f"Train accuracy: {train_score:.3f}")
+print(f"Test accuracy: {test_score:.3f}")
+
+# Save the model
+models_dir = os.path.join(project_root, 'models')
+os.makedirs(models_dir, exist_ok=True)
+
+# Save as pickle file
+with open(os.path.join(models_dir, 'loan_model.pkl'), 'wb') as f:
+    pickle.dump(model, f)
+
+print("Model saved successfully as loan_model.pkl!")
\ No newline at end of file
diff --git a/src/visualization/visualize.py b/src/visualization/visualize.py
new file mode 100644
index 0000000000000000000000000000000000000000..adba454f7d1abc314ca3fc1761a80ee6e09a4140
--- /dev/null
+++ b/src/visualization/visualize.py
@@ -0,0 +1,90 @@
+import matplotlib.pyplot as plt
+import seaborn as sns
+import pandas as pd
+import numpy as np
+import shap
+
+def plot_feature_importance(model, feature_names=None):
+    """Plot feature importance for tree-based models"""
+    if feature_names is None and hasattr(model, 'feature_names'):
+        feature_names = model.feature_names
+        
+    if hasattr(model, 'model'):
+        importances = model.model.feature_importances_
+    else:
+        importances = model.feature_importances_
+        
+    indices = np.argsort(importances)[::-1]
+    
+    plt.figure(figsize=(10, 6))
+    plt.title('Feature Importance')
+    plt.bar(range(len(indices)), importances[indices], align='center')
+    plt.xticks(range(len(indices)), [feature_names[i] for i in indices], rotation=90)
+    plt.tight_layout()
+    return plt
+    
+def plot_shap_summary(explainer, X):
+    """Plot SHAP summary plot"""
+    shap_values = explainer.explainer.shap_values(X)
+    
+    if isinstance(shap_values, list):
+        shap_values = shap_values[1]  # For binary classification
+        
+    return shap.summary_plot(shap_values, X)
+    
+def plot_what_if(model, instance, feature_to_vary, range_values, feature_names=None):
+    """Plot what-if analysis for a single feature"""
+    instance_df = instance.copy()
+    predictions = []
+    
+    for value in range_values:
+        instance_df[feature_to_vary] = value
+        if hasattr(model, 'predict_proba'):
+            pred = model.predict_proba(instance_df)[0][1]
+        else:
+            pred = model.model.predict_proba(instance_df)[0][1]
+        predictions.append(pred)
+        
+    plt.figure(figsize=(10, 6))
+    plt.plot(range_values, predictions)
+    plt.xlabel(feature_to_vary)
+    plt.ylabel('Probability of Approval')
+    plt.title(f'What-If Analysis: Impact of {feature_to_vary} on Loan Approval')
+    plt.grid(True)
+    return plt
+    
+def plot_comparative_analysis(model, instance_a, instance_b, explainer, feature_names=None):
+    """Compare two instances and their explanations"""
+    # Get predictions
+    if hasattr(model, 'predict_proba'):
+        pred_a = model.predict_proba(instance_a)[0][1]
+        pred_b = model.predict_proba(instance_b)[0][1]
+    else:
+        pred_a = model.model.predict_proba(instance_a)[0][1]
+        pred_b = model.model.predict_proba(instance_b)[0][1]
+        
+    # Get explanations
+    shap_a = explainer.explain_instance(instance_a)
+    shap_b = explainer.explain_instance(instance_b)
+    
+    # Create comparison dataframe
+    comparison = pd.DataFrame({
+        'Feature': feature_names,
+        'Instance A': instance_a.values[0],
+        'Instance B': instance_b.values[0],
+        'SHAP A': shap_a[0],
+        'SHAP B': shap_b[0]
+    })
+    
+    # Calculate difference in SHAP values
+    comparison['SHAP Diff'] = comparison['SHAP B'] - comparison['SHAP A']
+    
+    # Sort by absolute difference
+    comparison = comparison.iloc[np.argsort(np.abs(comparison['SHAP Diff']))[::-1]]
+    
+    # Plot top differences
+    plt.figure(figsize=(12, 8))
+    sns.barplot(x='SHAP Diff', y='Feature', data=comparison.head(10))
+    plt.title('Top Features Explaining the Difference in Predictions')
+    plt.tight_layout()
+    return plt
\ No newline at end of file
diff --git a/tests/__pycache__/test_model.cpython-311.pyc b/tests/__pycache__/test_model.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..27ccce09d170f8607c5432eea424bab56a4560b3
--- /dev/null
+++ b/tests/__pycache__/test_model.cpython-311.pyc
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:717cb80dfe6c197a33075bdc6f450365f2ad4c8c94b8742808bdc0dd2633e205
+size 129
diff --git a/tests/test_api.py b/tests/test_api.py
new file mode 100644
index 0000000000000000000000000000000000000000..6489b78f329c6a339b7204cce5792c05d1ceaa0a
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+++ b/tests/test_api.py
@@ -0,0 +1,107 @@
+import unittest
+import requests
+import json
+import os
+import sys
+import time
+import threading
+import uvicorn
+
+# Add the src directory to the path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+
+from src.api.main import app
+
+class TestAPI(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        """Start the API server in a separate thread"""
+        cls.api_thread = threading.Thread(
+            target=uvicorn.run,
+            args=(app,),
+            kwargs={"host": "127.0.0.1", "port": 8000, "log_level": "error"},
+            daemon=True
+        )
+        cls.api_thread.start()
+        time.sleep(1)  # Give the server time to start
+        
+    def test_predict_endpoint(self):
+        """Test the predict endpoint"""
+        # Create sample application data
+        application = {
+            "income": 50000,
+            "credit_score": 720,
+            "debt_to_income": 25,
+            "loan_amount": 200000,
+            "loan_term": 30,
+            "employment_length": 5,
+            "home_ownership": "OWN",
+            "loan_purpose": "HOME"
+        }
+        
+        # Make request to predict endpoint
+        response = requests.post(
+            "http://127.0.0.1:8000/predict",
+            json=application
+        )
+        
+        # Check response
+        self.assertEqual(response.status_code, 200)
+        
+        # Parse response
+        result = response.json()
+        
+        # Check that prediction is included
+        self.assertIn("prediction", result)
+        self.assertIn(result["prediction"], [0, 1])
+        
+        # Check that probability is included
+        self.assertIn("probability", result)
+        self.assertTrue(0 <= result["probability"] <= 1)
+        
+        # Check that explanation is included
+        self.assertIn("explanation", result)
+        self.assertIn("text", result["explanation"])
+        
+    def test_what_if_endpoint(self):
+        """Test the what-if endpoint"""
+        # Create sample application data
+        application = {
+            "income": 50000,
+            "credit_score": 720,
+            "debt_to_income": 25,
+            "loan_amount": 200000,
+            "loan_term": 30,
+            "employment_length": 5,
+            "home_ownership": "OWN",
+            "loan_purpose": "HOME"
+        }
+        
+        # Make request to what-if endpoint
+        response = requests.post(
+            "http://127.0.0.1:8000/what-if",
+            json={
+                "application": application,
+                "feature": "income",
+                "values": [30000, 40000, 50000, 60000, 70000]
+            }
+        )
+        
+        # Check response
+        self.assertEqual(response.status_code, 200)
+        
+        # Parse response
+        result = response.json()
+        
+        # Check that results are included
+        self.assertIn("results", result)
+        self.assertEqual(len(result["results"]), 5)
+        
+        # Check that each result has value, prediction, and probability
+        for item in result["results"]:
+            self.assertIn("value", item)
+            self.assertIn("prediction", item)
+            self.assertIn("probability", item)
+
+if __name__ == "__main__":
+    unittest.main()
\ No newline at end of file
diff --git a/tests/test_explainer.py b/tests/test_explainer.py
new file mode 100644
index 0000000000000000000000000000000000000000..5a0c6c70504caae806528e08e6f37f24151cf25b
--- /dev/null
+++ b/tests/test_explainer.py
@@ -0,0 +1,64 @@
+import unittest
+import pandas as pd
+import numpy as np
+import os
+import sys
+
+# Add the src directory to the path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+
+from src.models.loan_model import LoanApprovalModel
+from src.explainers.shap_explainer import ShapExplainer
+
+class TestShapExplainer(unittest.TestCase):
+    def setUp(self):
+        """Set up test fixtures"""
+        self.model = LoanApprovalModel()
+        self.explainer = ShapExplainer(self.model)
+        
+        # Create sample data
+        self.sample_data = pd.DataFrame({
+            "income": [50000],
+            "credit_score": [720],
+            "debt_to_income": [25],
+            "loan_amount": [200000],
+            "loan_term": [30],
+            "employment_length": [5],
+            "home_ownership": ["OWN"],
+            "loan_purpose": ["HOME"]
+        })
+        
+    def test_generate_explanation(self):
+        """Test explanation generation"""
+        explanation = self.explainer.generate_explanation(self.sample_data)
+        
+        # Check that explanation is a string
+        self.assertIsInstance(explanation, str)
+        
+        # Check that explanation contains key features
+        self.assertTrue(any(feature in explanation.lower() for feature in 
+                           ["income", "credit score", "debt", "loan"]))
+        
+    def test_get_feature_importance(self):
+        """Test feature importance calculation"""
+        importance = self.explainer.get_feature_importance(self.sample_data)
+        
+        # Check that importance is a list of dictionaries
+        self.assertIsInstance(importance, list)
+        self.assertIsInstance(importance[0], dict)
+        
+        # Check that each dictionary has feature and importance keys
+        self.assertTrue(all("feature" in item and "importance" in item for item in importance))
+        
+        # Check that importance values are between -1 and 1
+        self.assertTrue(all(-1 <= item["importance"] <= 1 for item in importance))
+        
+    def test_generate_plot(self):
+        """Test plot generation"""
+        plot_data = self.explainer.generate_plot(self.sample_data)
+        
+        # Check that plot data is returned
+        self.assertIsNotNone(plot_data)
+
+if __name__ == "__main__":
+    unittest.main()
\ No newline at end of file
diff --git a/tests/test_model.py b/tests/test_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..04264b6a1ef46966c8d5d5034b9a5916707fda28
--- /dev/null
+++ b/tests/test_model.py
@@ -0,0 +1,61 @@
+import unittest
+import pandas as pd
+import numpy as np
+import os
+import sys
+
+# Add the src directory to the path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+
+from src.models.loan_model import LoanApprovalModel
+
+class TestLoanModel(unittest.TestCase):
+    def setUp(self):
+        """Set up test fixtures"""
+        self.model = LoanApprovalModel()
+        
+        # Create sample data
+        self.sample_data = pd.DataFrame({
+            "income": [20000, 50000, 80000, 30000],
+            "credit_score": [580, 720, 800, 650],
+            "debt_to_income": [40, 25, 15, 30],
+            "loan_amount": [150000, 200000, 300000, 180000],
+            "loan_term": [30, 30, 15, 30],
+            "employment_length": [2, 5, 10, 3],
+            "home_ownership": ["RENT", "OWN", "OWN", "RENT"],
+            "loan_purpose": ["HOME", "HOME", "HOME", "HOME"]
+        })
+        
+    def test_predict(self):
+        """Test prediction functionality"""
+        predictions = self.model.predict(self.sample_data)
+        
+        # Check that predictions are binary (0 or 1)
+        self.assertTrue(all(pred in [0, 1] for pred in predictions))
+        
+        # Check that higher income and credit score leads to approval
+        self.assertEqual(predictions[2], 1, "High income and credit score should lead to approval")
+        
+    def test_predict_proba(self):
+        """Test probability prediction functionality"""
+        probabilities = self.model.predict_proba(self.sample_data)
+        
+        # Check that probabilities are between 0 and 1
+        self.assertTrue(all(0 <= prob[1] <= 1 for prob in probabilities))
+        
+        # Check that probabilities are higher for better applications
+        self.assertGreater(probabilities[1][1], probabilities[0][1], 
+                          "Better application should have higher approval probability")
+        
+    def test_feature_importance(self):
+        """Test feature importance functionality"""
+        importance = self.model.feature_importance()
+        
+        # Check that feature importance is returned for all features
+        self.assertEqual(len(importance), len(self.sample_data.columns))
+        
+        # Check that importance values sum to approximately 1
+        self.assertAlmostEqual(sum(importance.values()), 1.0, places=5)
+
+if __name__ == "__main__":
+    unittest.main()
\ No newline at end of file