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What were the new entries for the Semi-Finals round with fewer than 8 fixtures?
|
CREATE TABLE table_name_97 (new_entries_this_round VARCHAR, number_of_fixtures VARCHAR, round VARCHAR)
|
SELECT new_entries_this_round FROM table_name_97 WHERE number_of_fixtures < 8 AND round = "semi-finals"
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let me know the birth date and primary disease of patient brian brock.
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT demographic.dob, demographic.diagnosis FROM demographic WHERE demographic.name = "Brian Brock"
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Name the state with an evening gown more than 8.86 and interview less than 8.7 and swimsuit less than 8.96
|
CREATE TABLE table_name_84 (
state VARCHAR,
interview VARCHAR,
evening_gown VARCHAR,
swimsuit VARCHAR
)
|
SELECT state FROM table_name_84 WHERE evening_gown > 8.86 AND swimsuit < 8.96 AND interview < 8.7
|
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What shows for 3:30 pm when 1:30 pm is the bold and the beautiful?
|
CREATE TABLE table_58835 (
"7:00 am" text,
"9:00 am" text,
"10:00 am" text,
"11:00 am" text,
"noon" text,
"12:30 pm" text,
"1:00 pm" text,
"1:30 pm" text,
"2:00 pm" text,
"2:30 pm" text,
"3:30 pm" text,
"4:30 pm" text,
"5:00 pm" text,
"6:30 pm" text
)
|
SELECT "3:30 pm" FROM table_58835 WHERE "1:30 pm" = 'the bold and the beautiful'
|
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What day was the record 14-27?
|
CREATE TABLE table_73500 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Date" FROM table_73500 WHERE "Record" = '14-27'
|
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How many games does the player with 1 (0) finals and a w-league of 28 (1) have?
|
CREATE TABLE table_name_12 (
games VARCHAR,
finals VARCHAR,
w_league VARCHAR
)
|
SELECT games FROM table_name_12 WHERE finals = "1 (0)" AND w_league = "28 (1)"
|
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What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
|
CREATE TABLE station (
name VARCHAR,
id VARCHAR
)
CREATE TABLE status (
station_id VARCHAR,
bikes_available INTEGER
)
|
SELECT T1.name, T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING AVG(T2.bikes_available) > 14 UNION SELECT name, id FROM station WHERE installation_date LIKE "12/%"
|
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How many categories are there when the attribute is 'onreset'?
|
CREATE TABLE table_19852 (
"Category" text,
"Type" text,
"Attribute" text,
"Description" text,
"Bubbles" text,
"Cancelable" text
)
|
SELECT COUNT("Category") FROM table_19852 WHERE "Attribute" = 'onreset'
|
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How many games were lost where the win percentage is smaller than 16.7 and the played games is 3?
|
CREATE TABLE table_name_83 (lost VARCHAR, win__percentage VARCHAR, played VARCHAR)
|
SELECT COUNT(lost) FROM table_name_83 WHERE win__percentage < 16.7 AND played = 3
|
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what the highest number for the opposite of offense for the green bay packers
|
CREATE TABLE table_19081 (
"Year" real,
"Player Name" text,
"NFL Team" text,
"Position" text,
"Team Defense Rank" real,
"Team Performance" text
)
|
SELECT MAX("Team Defense Rank") FROM table_19081 WHERE "NFL Team" = 'Green Bay Packers'
|
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-100,
-100,
-100,
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-100,
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-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Plot the total number by grouped by industry as a bar graph, and sort in ascending by the Industry.
|
CREATE TABLE Office_locations (
building_id int,
company_id int,
move_in_year int
)
CREATE TABLE buildings (
id int,
name text,
City text,
Height int,
Stories int,
Status text
)
CREATE TABLE Companies (
id int,
name text,
Headquarters text,
Industry text,
Sales_billion real,
Profits_billion real,
Assets_billion real,
Market_Value_billion text
)
|
SELECT Industry, COUNT(*) FROM Companies GROUP BY Industry ORDER BY Industry
|
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4386,
6048,
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17098,
2126,
834,
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[
3,
23143,
14196,
9036,
6,
2847,
17161,
599,
1935,
61,
21680,
11239,
350,
4630,
6880,
272,
476,
9036,
4674,
11300,
272,
476,
9036,
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] |
how many patients are admitted before the year 2195?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admityear < "2195"
|
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32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
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who is the the president with date of inauguration being 4june1979
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CREATE TABLE table_12134383_1 (president VARCHAR, date_of_inauguration VARCHAR)
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SELECT president FROM table_12134383_1 WHERE date_of_inauguration = "4June1979"
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What format was conductor Erich Leinsdorf's album released on?
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CREATE TABLE table_name_34 (format VARCHAR, conductor VARCHAR)
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SELECT format FROM table_name_34 WHERE conductor = "erich leinsdorf"
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how many patients of hispano/latino - puerto rican ethnicity have been prescribed the drug sulfamethoxazole - trimethoprim?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND prescriptions.drug = "Sulfamethoxazole-Trimethoprim"
|
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What is the Japanese orthography for National Fisheries University?
|
CREATE TABLE table_16684 (
"English Name" text,
"Japanese orthography" text,
"Pronouciation" text,
"abbreviation" text,
"Provider(IAI)" text,
"Foundation" real
)
|
SELECT "Japanese orthography" FROM table_16684 WHERE "English Name" = 'National Fisheries University'
|
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What is the Margin of victory on 27 feb 2011?
|
CREATE TABLE table_name_43 (
margin_of_victory VARCHAR,
date VARCHAR
)
|
SELECT margin_of_victory FROM table_name_43 WHERE date = "27 feb 2011"
|
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The match that lasted 2:43 has what record?
|
CREATE TABLE table_50739 (
"Date" text,
"Result" text,
"Opponent" text,
"Venue" text,
"Location" text,
"Method" text,
"Round" real,
"Time" text,
"Record" text
)
|
SELECT "Record" FROM table_50739 WHERE "Time" = '2:43'
|
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how many patients diagnosed under icd9 code 2984 died in or before the year 2183?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2183.0" AND diagnoses.icd9_code = "2984"
|
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What is the Date of the Middlesbrough Home game?
|
CREATE TABLE table_name_42 (
date VARCHAR,
home_team VARCHAR
)
|
SELECT date FROM table_name_42 WHERE home_team = "middlesbrough"
|
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[
3,
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14196,
833,
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953,
834,
4350,
834,
4165,
549,
17444,
427,
234,
834,
11650,
3274,
96,
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26,
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115,
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-100,
-100,
-100,
-100,
-100,
-100
] |
A bar chart showing the number of last name for all female students Their sex is F, list by the the number of lname in desc please.
|
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20)
)
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20),
AllergyType VARCHAR(20)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
|
SELECT LName, COUNT(LName) FROM Student WHERE Sex = 'F' GROUP BY LName ORDER BY COUNT(LName) DESC
|
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3,
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301,
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6,
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599,
434,
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61,
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6341,
549,
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226,
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371,
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272,
476,
301,
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11300,
272,
476,
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] |
What is the largest number of students?
|
CREATE TABLE table_19223 (
"Institution" text,
"Location" text,
"Established" real,
"Gained university status" real,
"Vice-chancellor" text,
"Total Number of Students" real,
"Research Funding (\u00a3,000)" real
)
|
SELECT MAX("Total Number of Students") FROM table_19223
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19978,
2773,
41,
96,
1570,
17448,
121,
1499,
6,
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434,
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257,
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6,
96,
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15403,
11904,
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490,
6,
96,
517,
7043,
26,
3819,
2637,
121,
490,
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96,
553,
867,
18,
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8725,
127,
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61,
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3,
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363,
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is the rf for wivm ld 39 or 29 ?
|
CREATE TABLE table_204_793 (
id number,
"call-sign" text,
"location" text,
"rf" number,
"psip" number,
"programming" text
)
|
SELECT "rf" FROM table_204_793 WHERE "rf" IN (39, 29) AND "call-sign" = 'wivm-ld'
|
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Who's the shooter with score points of defending champion?
|
CREATE TABLE table_60907 (
"Shooter" text,
"Event" text,
"Rank points" text,
"Score points" text,
"Total" text
)
|
SELECT "Shooter" FROM table_60907 WHERE "Score points" = 'defending champion'
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Where was the game played where Collingwood was the away team?
|
CREATE TABLE table_name_99 (venue VARCHAR, away_team VARCHAR)
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SELECT venue FROM table_name_99 WHERE away_team = "collingwood"
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Name the least frequency Mhz with call sign of k202ag
|
CREATE TABLE table_37040 (
"Call sign" text,
"Frequency MHz" real,
"City of license" text,
"ERP W" real,
"Class" text,
"FCC info" text
)
|
SELECT MIN("Frequency MHz") FROM table_37040 WHERE "Call sign" = 'k202ag'
|
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What tyre was used in the Zandvoort circuit?
|
CREATE TABLE table_name_71 (
tyre VARCHAR,
circuit VARCHAR
)
|
SELECT tyre FROM table_name_71 WHERE circuit = "zandvoort"
|
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Which school has a Hometown of phoenix, az?
|
CREATE TABLE table_51898 (
"Player" text,
"Height" text,
"School" text,
"Hometown" text,
"College" text,
"NBA Draft" text
)
|
SELECT "School" FROM table_51898 WHERE "Hometown" = 'phoenix, az'
|
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Which opponent has a Season of 2011/12?
|
CREATE TABLE table_name_3 (
opponent VARCHAR,
season VARCHAR
)
|
SELECT opponent FROM table_name_3 WHERE season = "2011/12"
|
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What team drafted a player from Sweden?
|
CREATE TABLE table_2897457_1 (
nhl_team VARCHAR,
nationality VARCHAR
)
|
SELECT nhl_team FROM table_2897457_1 WHERE nationality = "Sweden"
|
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For which Game 4, did David Boyle play in Game 3?
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CREATE TABLE table_name_41 (game_4 VARCHAR, game_3 VARCHAR)
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SELECT game_4 FROM table_name_41 WHERE game_3 = "david boyle"
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What was the prize won by Sebastian Ruthenberg?
|
CREATE TABLE table_name_88 (prize VARCHAR, name VARCHAR)
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SELECT prize FROM table_name_88 WHERE name = "sebastian ruthenberg"
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Show all product colors.
|
CREATE TABLE Products (
product_color VARCHAR
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|
SELECT DISTINCT product_color FROM Products
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Which nation's total is less than 19 when there's less than 1 bronze?
|
CREATE TABLE table_name_54 (
nation VARCHAR,
total VARCHAR,
bronze VARCHAR
)
|
SELECT nation FROM table_name_54 WHERE total < 19 AND bronze < 1
|
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what is the 'normalized' transliteration for Roman i
|
CREATE TABLE table_name_9 (
roman_equivalent VARCHAR
)
|
SELECT "normalised" AS _transliteration FROM table_name_9 WHERE roman_equivalent = "i"
|
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Who got 13 score points at wc kerrville?
|
CREATE TABLE table_name_16 (
shooter VARCHAR,
score_points VARCHAR,
event VARCHAR
)
|
SELECT shooter FROM table_name_16 WHERE score_points = "13" AND event = "wc kerrville"
|
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What was the result of the game with a score of 4-1?
|
CREATE TABLE table_40533 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
|
SELECT "Result" FROM table_40533 WHERE "Score" = '4-1'
|
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what was the name of the organism found in the microbiology test of the first other of patient 031-3355 on the current hospital visit?
|
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
|
SELECT microlab.organism FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355' AND patient.hospitaldischargetime IS NULL)) AND microlab.culturesite = 'other' ORDER BY microlab.culturetakentime LIMIT 1
|
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How many games were played where exactly 15 points were scored?
|
CREATE TABLE table_41677 (
"Position" real,
"Team" text,
"Points" real,
"Played" real,
"Drawn" real,
"Lost" real,
"Against" real,
"Difference" text
)
|
SELECT SUM("Played") FROM table_41677 WHERE "Points" = '15'
|
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what number of proposed communities would use the east african shilling currency ?
|
CREATE TABLE table_204_321 (
id number,
"community" text,
"currency" text,
"region" text,
"target date" number,
"notes" text
)
|
SELECT COUNT("community") FROM table_204_321 WHERE "currency" = 'east african shilling'
|
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How many people are in Livingstone when less than 6,406 are in Firzroy, less than 3,967 in Mt. Morgan, more than 52,383 in Rochhampton, and less than 102,048 in total region?
|
CREATE TABLE table_69206 (
"Year" real,
"Total Region" real,
"Rockhampton" real,
"Livingstone" real,
"Fitzroy" real,
"Mt Morgan" real
)
|
SELECT COUNT("Livingstone") FROM table_69206 WHERE "Fitzroy" < '6,406' AND "Mt Morgan" < '3,967' AND "Rockhampton" > '52,383' AND "Total Region" < '102,048'
|
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If the 2011 population is 3685681, what is the name of the headquarters?
|
CREATE TABLE table_24550 (
"District" text,
"Headquarters" text,
"Area (km\u00b2)" real,
"Population (2011)" real,
"Division" text
)
|
SELECT "Headquarters" FROM table_24550 WHERE "Population (2011)" = '3685681'
|
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Which grid is lower for thierry boutsen which laps less than 44?
|
CREATE TABLE table_name_90 (grid INTEGER, driver VARCHAR, laps VARCHAR)
|
SELECT MIN(grid) FROM table_name_90 WHERE driver = "thierry boutsen" AND laps < 44
|
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] |
What Record has a Location Attendance of delta center, and an Opponent of vs vancouver grizzlies?
|
CREATE TABLE table_name_68 (
record VARCHAR,
location_attendance VARCHAR,
opponent VARCHAR
)
|
SELECT record FROM table_name_68 WHERE location_attendance = "delta center" AND opponent = "vs vancouver grizzlies"
|
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What genders did Lynmore Primary School take?
|
CREATE TABLE table_69162 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" text
)
|
SELECT "Gender" FROM table_69162 WHERE "Name" = 'lynmore primary school'
|
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Which City has a Colony Name of northeastern crescent colony?
|
CREATE TABLE table_6037 (
"City" text,
"State" text,
"School" text,
"Colony Name" text,
"Date Founded" text
)
|
SELECT "City" FROM table_6037 WHERE "Colony Name" = 'northeastern crescent colony'
|
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What type is ?
|
CREATE TABLE table_27644 (
"Letters" text,
"Organization" text,
"Nickname" text,
"Founding Date" text,
"Founding University" text,
"Type" text
)
|
SELECT "Type" FROM table_27644 WHERE "Letters" = 'ΣΑΕΠ'
|
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Who were the GT winning team when the results were 'report'?
|
CREATE TABLE table_29897 (
"Season" real,
"LMP1 Winning Team" text,
"LMP2 Winning Driver" text,
"LMPC Winning Team" text,
"GT Winning Team" text,
"GTC Winning Team" text,
"Results" text
)
|
SELECT "GT Winning Team" FROM table_29897 WHERE "Results" = 'Report'
|
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What type of currency has a code of SEK?
|
CREATE TABLE table_66058 (
"Currency" text,
"Code" text,
"Entry ERM II" text,
"Central rate" text,
"Official target date" text
)
|
SELECT "Currency" FROM table_66058 WHERE "Code" = 'sek'
|
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What is the result for an H/A of H and a round value of R6 replay?
|
CREATE TABLE table_name_29 (result VARCHAR, h___a VARCHAR, round VARCHAR)
|
SELECT result FROM table_name_29 WHERE h___a = "h" AND round = "r6 replay"
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What position has a spread greater than -319, and United States as the country, a win loss of 11-13, and gabriel, marty as the name?
|
CREATE TABLE table_name_96 (position VARCHAR, name VARCHAR, win_loss VARCHAR, spread VARCHAR, country VARCHAR)
|
SELECT position FROM table_name_96 WHERE spread > -319 AND country = "united states" AND win_loss = "11-13" AND name = "gabriel, marty"
|
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For those employees who was hired before 2002-06-21, find job_id and the average of employee_id , and group by attribute job_id, and visualize them by a bar chart, and I want to sort y-axis in descending order.
|
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) DESC
|
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What position does the 5-8 player from Grottoes, VA play?
|
CREATE TABLE table_name_10 (
position VARCHAR,
height VARCHAR,
home_town VARCHAR
)
|
SELECT position FROM table_name_10 WHERE height = "5-8" AND home_town = "grottoes, va"
|
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Name the division record for riders
|
CREATE TABLE table_68072 (
"School" text,
"Team" text,
"Division Record" text,
"Overall Record" text,
"Season Outcome" text
)
|
SELECT "Division Record" FROM table_68072 WHERE "Team" = 'riders'
|
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Who was the home team when the score was 0:1?
|
CREATE TABLE table_44026 (
"Date" text,
"Home" text,
"Score" text,
"Away" text,
"Attendance" real
)
|
SELECT "Home" FROM table_44026 WHERE "Score" = '0:1'
|
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Name the population for 2011 for
|
CREATE TABLE table_2562572_37 (
population__2011_ VARCHAR,
cyrillic_name_other_names VARCHAR
)
|
SELECT population__2011_ FROM table_2562572_37 WHERE cyrillic_name_other_names = "Српска Црња"
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Name the k. r. narayanan values for pondicherry
|
CREATE TABLE table_22897453_1 (
kr_narayanan__values_ VARCHAR,
states VARCHAR
)
|
SELECT kr_narayanan__values_ FROM table_22897453_1 WHERE states = "Pondicherry"
|
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Who wrote the episode that is production code 202?
|
CREATE TABLE table_28693 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (millions)" text
)
|
SELECT "Written by" FROM table_28693 WHERE "Production code" = '202'
|
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Player of jaco coetzee, and a Tries larger than 6 had what total number of score?
|
CREATE TABLE table_name_50 (score VARCHAR, player VARCHAR, tries VARCHAR)
|
SELECT COUNT(score) FROM table_name_50 WHERE player = "jaco coetzee" AND tries > 6
|
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in how many meetings did kaseorg place 10th or better ?
|
CREATE TABLE table_204_202 (
id number,
"year" number,
"tournament" text,
"venue" text,
"result" text,
"rank" text,
"event" text
)
|
SELECT COUNT(*) FROM table_204_202 WHERE "rank" <= 10
|
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How many school colors is there for the main campus location of highland?
|
CREATE TABLE table_12434380_1 (school_colors VARCHAR, main_campus_location VARCHAR)
|
SELECT COUNT(school_colors) FROM table_12434380_1 WHERE main_campus_location = "Highland"
|
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Which Label has a Date smaller than 2008, and a Catalog of fall cd 006?
|
CREATE TABLE table_name_82 (label VARCHAR, date VARCHAR, catalog VARCHAR)
|
SELECT label FROM table_name_82 WHERE date < 2008 AND catalog = "fall cd 006"
|
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For those records from the products and each product's manufacturer, visualize the relationship between code and code , and group by attribute name.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT T1.Code, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Name
|
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] |
calculate the average age of patients born after 2080 who had emergency hospital admission.
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dob_year > "2080"
|
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] |
What is the winning span with the rank of 5?
|
CREATE TABLE table_1953516_1 (
winning_span VARCHAR,
rank VARCHAR
)
|
SELECT winning_span FROM table_1953516_1 WHERE rank = "5"
|
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provide the number of patients whose lab test name is osmolality, measured?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Osmolality, Measured"
|
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What is the engine configuration & notes 0-100km/h with a model with 2.3 t5?
|
CREATE TABLE table_name_65 (
engine_configuration_ VARCHAR,
_notes_0_100km_h VARCHAR,
model VARCHAR
)
|
SELECT engine_configuration_ & _notes_0_100km_h FROM table_name_65 WHERE model = "2.3 t5"
|
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What is Top Par, when Score is less than 68, and when Country is England?
|
CREATE TABLE table_41942 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
)
|
SELECT "To par" FROM table_41942 WHERE "Score" < '68' AND "Country" = 'england'
|
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give me the procedure short title and long title of the procedure icd9 code 3891.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT procedures.short_title, procedures.long_title FROM procedures WHERE procedures.icd9_code = "3891"
|
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what is primary disease and discharge time of subject id 71798?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT demographic.diagnosis, demographic.dischtime FROM demographic WHERE demographic.subject_id = "71798"
|
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What club has a played number of 19, and the lost of 14?
|
CREATE TABLE table_76613 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text
)
|
SELECT "Club" FROM table_76613 WHERE "Played" = '19' AND "Lost" = '14'
|
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What is College, when Pick is 20?
|
CREATE TABLE table_name_18 (
college VARCHAR,
pick VARCHAR
)
|
SELECT college FROM table_name_18 WHERE pick = 20
|
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Name the broadcast date for run timke of 25:04
|
CREATE TABLE table_2102782_1 (
broadcast_date VARCHAR,
run_time VARCHAR
)
|
SELECT broadcast_date FROM table_2102782_1 WHERE run_time = "25:04"
|
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What engine did David Coulthard have in his mp4-13 chassis?
|
CREATE TABLE table_name_86 (
engine_† VARCHAR,
chassis VARCHAR,
driver VARCHAR
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|
SELECT engine_† FROM table_name_86 WHERE chassis = "mp4-13" AND driver = "david coulthard"
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Who were all the writers whose episodes had 0.97 million viewers?
|
CREATE TABLE table_23918997_1 (written_by VARCHAR, us_viewers__million_ VARCHAR)
|
SELECT written_by FROM table_23918997_1 WHERE us_viewers__million_ = "0.97"
|
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Which country's material was concrete when the span metres were less than 270, span feet is more than 837, and the year opened was 1943?
|
CREATE TABLE table_43214 (
"Rank" real,
"Name" text,
"Span metres" real,
"Span feet" real,
"Material" text,
"Year opened" text,
"Country" text
)
|
SELECT "Country" FROM table_43214 WHERE "Material" = 'concrete' AND "Span metres" < '270' AND "Span feet" > '837' AND "Year opened" = '1943'
|
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] |
If the laps is 191, what is the maximum laps led?
|
CREATE TABLE table_17693171_1 (
laps INTEGER
)
|
SELECT MAX(laps) AS Led FROM table_17693171_1 WHERE laps = 191
|
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What is the Location when France was the runner-up at club de campo?
|
CREATE TABLE table_name_41 (
location VARCHAR,
runners_up VARCHAR,
venue VARCHAR
)
|
SELECT location FROM table_name_41 WHERE runners_up = "france" AND venue = "club de campo"
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What was the record when the team played Boston?
|
CREATE TABLE table_17325580_10 (
record VARCHAR,
team VARCHAR
)
|
SELECT record FROM table_17325580_10 WHERE team = "Boston"
|
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What is the home team score when the away team score is 17.18 (120)?
|
CREATE TABLE table_51856 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Home team score" FROM table_51856 WHERE "Away team score" = '17.18 (120)'
|
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Which result has a Venue of away, and an Opponent of marbella?
|
CREATE TABLE table_15756 (
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" text
)
|
SELECT "Result" FROM table_15756 WHERE "Venue" = 'away' AND "Opponent" = 'marbella'
|
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When tus rosenberg is the oberpfalz what is the oberbayern b?
|
CREATE TABLE table_23224961_1 (
oberbayern_b VARCHAR,
oberpfalz VARCHAR
)
|
SELECT oberbayern_b FROM table_23224961_1 WHERE oberpfalz = "TuS Rosenberg"
|
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Name the nationality of the player with an overall of 74
|
CREATE TABLE table_51527 (
"Round" real,
"Overall" real,
"Player" text,
"Nationality" text,
"Club team" text
)
|
SELECT "Nationality" FROM table_51527 WHERE "Overall" = '74'
|
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What day did North Melbourne play as the home team?
|
CREATE TABLE table_name_52 (date VARCHAR, home_team VARCHAR)
|
SELECT date FROM table_name_52 WHERE home_team = "north melbourne"
|
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find the number of inpatient hospital admission patients who have ipratropium bromide mdi drug prescription.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND prescriptions.drug = "Ipratropium Bromide MDI"
|
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What is the date for the race that had the time of 2:43:19?
|
CREATE TABLE table_2268216_1 (date VARCHAR, race_time VARCHAR)
|
SELECT date FROM table_2268216_1 WHERE race_time = "2:43:19"
|
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Count the number of people of each sex who have a weight higher than 85.
|
CREATE TABLE candidate (
candidate_id number,
people_id number,
poll_source text,
date text,
support_rate number,
consider_rate number,
oppose_rate number,
unsure_rate number
)
CREATE TABLE people (
people_id number,
sex text,
name text,
date_of_birth text,
height number,
weight number
)
|
SELECT COUNT(*), sex FROM people WHERE weight > 85 GROUP BY sex
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of last_name and department_id , and sort DEPARTMENT_ID in descending order.
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC
|
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Who directed series episode number 201?
|
CREATE TABLE table_29107 (
"Series #" real,
"Season #" real,
"Title" text,
"Director" text,
"Writer" text,
"Original Airdate" text
)
|
SELECT "Director" FROM table_29107 WHERE "Series #" = '201'
|
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How many votes were cast when the constituency was midlothian?
|
CREATE TABLE table_25818630_2 (
votes__cast VARCHAR,
constituency VARCHAR
)
|
SELECT votes__cast FROM table_25818630_2 WHERE constituency = "Midlothian"
|
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What season was there a 2nd place finish?
|
CREATE TABLE table_58428 (
"Season" real,
"Level" text,
"Division" text,
"Administration" text,
"Position" text
)
|
SELECT "Season" FROM table_58428 WHERE "Position" = '2nd'
|
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Tell me the model with fuel or propulsion of diesel and orion manufacturer in 2005
|
CREATE TABLE table_name_68 (model VARCHAR, year VARCHAR, fuel_or_propulsion VARCHAR, manufacturer VARCHAR)
|
SELECT model FROM table_name_68 WHERE fuel_or_propulsion = "diesel" AND manufacturer = "orion" AND year = 2005
|
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What was the option from Italy with general television content, and the Cielo television service?
|
CREATE TABLE table_name_84 (package_option VARCHAR, television_service VARCHAR, country VARCHAR, content VARCHAR)
|
SELECT package_option FROM table_name_84 WHERE country = "italy" AND content = "general television" AND television_service = "cielo"
|
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What year was Jeff Mullins?
|
CREATE TABLE table_name_36 (year INTEGER, trainer VARCHAR)
|
SELECT MIN(year) FROM table_name_36 WHERE trainer = "jeff mullins"
|
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What is the visiting team of Melbourne's score?
|
CREATE TABLE table_54261 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Away team score" FROM table_54261 WHERE "Away team" = 'melbourne'
|
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In what Borough is the History Type Fairbanks Community Museum?
|
CREATE TABLE table_34537 (
"Name" text,
"Town/City" text,
"Borough" text,
"Region" text,
"Type" text
)
|
SELECT "Borough" FROM table_34537 WHERE "Type" = 'history' AND "Name" = 'fairbanks community museum'
|
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Name the pole position for 8 september
|
CREATE TABLE table_56880 (
"Race" text,
"Circuit" text,
"Date" text,
"Pole position" text,
"Fastest lap" text,
"Winning driver" text,
"Constructor" text,
"Tyre" text,
"Report" text
)
|
SELECT "Pole position" FROM table_56880 WHERE "Date" = '8 september'
|
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When was the match with a result of sa by 10 wkts?
|
CREATE TABLE table_name_23 (
date VARCHAR,
result VARCHAR
)
|
SELECT date FROM table_name_23 WHERE result = "sa by 10 wkts"
|
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3,
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427,
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-100
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Bar chart x axis location y axis the average of number of platforms, could you list x-axis in ascending order?
|
CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
CREATE TABLE train (
Train_ID int,
Name text,
Time text,
Service text
)
|
SELECT Location, AVG(Number_of_Platforms) FROM station GROUP BY Location ORDER BY Location
|
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] |
who elected 17 ?
|
CREATE TABLE table_203_562 (
id number,
"state" text,
"no. of candidates" number,
"no. of elected" number,
"total no. of seats in assembly" number,
"year of election" number
)
|
SELECT "state" FROM table_203_562 WHERE "no. of elected" = 17
|
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