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wfwe
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Files changed (3) hide show
  1. README.md +7 -5
  2. index.html +542 -19
  3. prompts.txt +1 -0
README.md CHANGED
@@ -1,10 +1,12 @@
1
  ---
2
- title: Wfwe
3
- emoji: 📊
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- colorFrom: pink
5
- colorTo: indigo
6
  sdk: static
7
  pinned: false
 
 
8
  ---
9
 
10
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
2
+ title: wfwe
3
+ emoji: 🐳
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+ colorFrom: gray
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+ colorTo: green
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  sdk: static
7
  pinned: false
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+ tags:
9
+ - deepsite
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  ---
11
 
12
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
index.html CHANGED
@@ -1,19 +1,542 @@
1
- <!doctype html>
2
- <html>
3
- <head>
4
- <meta charset="utf-8" />
5
- <meta name="viewport" content="width=device-width" />
6
- <title>My static Space</title>
7
- <link rel="stylesheet" href="style.css" />
8
- </head>
9
- <body>
10
- <div class="card">
11
- <h1>Welcome to your static Space!</h1>
12
- <p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
13
- <p>
14
- Also don't forget to check the
15
- <a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
16
- </p>
17
- </div>
18
- </body>
19
- </html>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Utility Data Analysis Dashboard</title>
7
+ <script src="https://cdn.tailwindcss.com"></script>
8
+ <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
9
+ <script src="https://kit.fontawesome.com/a076d05399.js" crossorigin="anonymous"></script>
10
+ <style>
11
+ .highlight-box {
12
+ border-left: 4px solid #3b82f6;
13
+ background-color: #f8fafc;
14
+ transition: all 0.3s ease;
15
+ }
16
+ .highlight-box:hover {
17
+ background-color: #eff6ff;
18
+ transform: translateY(-2px);
19
+ }
20
+ .data-card {
21
+ box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
22
+ transition: all 0.3s ease;
23
+ }
24
+ .data-card:hover {
25
+ box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);
26
+ }
27
+ .tab-content {
28
+ display: none;
29
+ }
30
+ .tab-content.active {
31
+ display: block;
32
+ }
33
+ .tab-button {
34
+ transition: all 0.3s ease;
35
+ }
36
+ .tab-button.active {
37
+ border-bottom: 3px solid #3b82f6;
38
+ color: #3b82f6;
39
+ font-weight: 600;
40
+ }
41
+ </style>
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+ </head>
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+ <body class="bg-gray-50">
44
+ <div class="container mx-auto px-4 py-8">
45
+ <header class="mb-8">
46
+ <h1 class="text-3xl font-bold text-gray-800 mb-2">Utility Consumption Analysis Dashboard</h1>
47
+ <p class="text-gray-600">Visual representation of utility consumption patterns with anomaly detection</p>
48
+ </header>
49
+
50
+ <div class="grid grid-cols-1 md:grid-cols-3 gap-6 mb-8">
51
+ <div class="data-card bg-white rounded-lg p-6">
52
+ <div class="flex items-center mb-4">
53
+ <div class="p-3 rounded-full bg-blue-100 text-blue-600 mr-4">
54
+ <i class="fas fa-tint text-xl"></i>
55
+ </div>
56
+ <div>
57
+ <h3 class="text-gray-500 text-sm font-medium">Water Consumption</h3>
58
+ <p class="text-2xl font-bold text-gray-800">Varies by property</p>
59
+ </div>
60
+ </div>
61
+ <p class="text-gray-600 text-sm">Shows steady increase with seasonal variations</p>
62
+ </div>
63
+
64
+ <div class="data-card bg-white rounded-lg p-6">
65
+ <div class="flex items-center mb-4">
66
+ <div class="p-3 rounded-full bg-yellow-100 text-yellow-600 mr-4">
67
+ <i class="fas fa-bolt text-xl"></i>
68
+ </div>
69
+ <div>
70
+ <h3 class="text-gray-500 text-sm font-medium">Electricity Usage</h3>
71
+ <p class="text-2xl font-bold text-gray-800">Significant peaks</p>
72
+ </div>
73
+ </div>
74
+ <p class="text-gray-600 text-sm">Notable spikes in winter months for heating</p>
75
+ </div>
76
+
77
+ <div class="data-card bg-white rounded-lg p-6">
78
+ <div class="flex items-center mb-4">
79
+ <div class="p-3 rounded-full bg-red-100 text-red-600 mr-4">
80
+ <i class="fas fa-fire text-xl"></i>
81
+ </div>
82
+ <div>
83
+ <h3 class="text-gray-500 text-sm font-medium">Heating Costs</h3>
84
+ <p class="text-2xl font-bold text-gray-800">Seasonal pattern</p>
85
+ </div>
86
+ </div>
87
+ <p class="text-gray-600 text-sm">Highest in winter months, lowest in summer</p>
88
+ </div>
89
+ </div>
90
+
91
+ <div class="bg-white rounded-lg shadow-md mb-8">
92
+ <div class="flex border-b">
93
+ <button class="tab-button active px-6 py-4 text-gray-700" onclick="openTab(event, 'water')">Water Usage</button>
94
+ <button class="tab-button px-6 py-4 text-gray-700" onclick="openTab(event, 'electricity')">Electricity</button>
95
+ <button class="tab-button px-6 py-4 text-gray-700" onclick="openTab(event, 'heating')">Heating</button>
96
+ <button class="tab-button px-6 py-4 text-gray-700" onclick="openTab(event, 'anomalies')">Anomalies</button>
97
+ </div>
98
+
99
+ <div id="water" class="tab-content active p-6">
100
+ <h2 class="text-xl font-semibold mb-4 text-gray-800">Water Consumption Analysis</h2>
101
+ <div class="grid grid-cols-1 lg:grid-cols-2 gap-6">
102
+ <div>
103
+ <canvas id="waterChart"></canvas>
104
+ </div>
105
+ <div>
106
+ <div class="highlight-box p-4 mb-4 rounded">
107
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-info-circle mr-2"></i>Key Observation</h3>
108
+ <p class="text-gray-700">The Páva property shows significantly lower water consumption compared to NagyLajos and Rozsnyay, suggesting either more efficient fixtures or different usage patterns.</p>
109
+ </div>
110
+ <div class="highlight-box p-4 rounded">
111
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-chart-line mr-2"></i>Trend Analysis</h3>
112
+ <p class="text-gray-700">All properties show a steady increase in water consumption over time, with Rozsnyay having the highest absolute consumption values.</p>
113
+ </div>
114
+ </div>
115
+ </div>
116
+ </div>
117
+
118
+ <div id="electricity" class="tab-content p-6">
119
+ <h2 class="text-xl font-semibold mb-4 text-gray-800">Electricity Consumption Analysis</h2>
120
+ <div class="grid grid-cols-1 lg:grid-cols-2 gap-6">
121
+ <div>
122
+ <canvas id="electricityChart"></canvas>
123
+ </div>
124
+ <div>
125
+ <div class="highlight-box p-4 mb-4 rounded">
126
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-bolt mr-2"></i>Peak Usage</h3>
127
+ <p class="text-gray-700">The Rozsnyay property shows extreme electricity consumption in 2018 (41,366 units), which appears to be a data anomaly or meter reading error.</p>
128
+ </div>
129
+ <div class="highlight-box p-4 rounded">
130
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-calendar-alt mr-2"></i>Seasonal Pattern</h3>
131
+ <p class="text-gray-700">Electricity usage tends to be higher in winter months across all properties, likely due to increased heating requirements.</p>
132
+ </div>
133
+ </div>
134
+ </div>
135
+ </div>
136
+
137
+ <div id="heating" class="tab-content p-6">
138
+ <h2 class="text-xl font-semibold mb-4 text-gray-800">Heating Consumption Analysis</h2>
139
+ <div class="grid grid-cols-1 lg:grid-cols-2 gap-6">
140
+ <div>
141
+ <canvas id="heatingChart"></canvas>
142
+ </div>
143
+ <div>
144
+ <div class="highlight-box p-4 mb-4 rounded">
145
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-temperature-low mr-2"></i>Winter Peaks</h3>
146
+ <p class="text-gray-700">Heating consumption shows clear seasonal patterns with peaks in December-February and lowest usage in June-August.</p>
147
+ </div>
148
+ <div class="highlight-box p-4 rounded">
149
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-exclamation-triangle mr-2"></i>Notable Spikes</h3>
150
+ <p class="text-gray-700">The Rozsnyay property shows unusually high heating consumption in 2016-2017, reaching up to 10,381 units, significantly higher than other properties.</p>
151
+ </div>
152
+ </div>
153
+ </div>
154
+ </div>
155
+
156
+ <div id="anomalies" class="tab-content p-6">
157
+ <h2 class="text-xl font-semibold mb-4 text-gray-800">Anomaly Detection</h2>
158
+ <div class="grid grid-cols-1 lg:grid-cols-2 gap-6">
159
+ <div>
160
+ <canvas id="anomalyChart"></canvas>
161
+ </div>
162
+ <div>
163
+ <div class="highlight-box p-4 mb-4 rounded">
164
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-search mr-2"></i>Detected Anomalies</h3>
165
+ <ul class="list-disc pl-5 text-gray-700 space-y-2">
166
+ <li>Rozsnyay May 2018: Extreme electricity reading (41,366 units)</li>
167
+ <li>Páva October 2018: Negative heating value (-12,981 units)</li>
168
+ <li>NagyLajos April 2012: Missing utility data for most categories</li>
169
+ <li>Rozsnyay April 2018: All meters reset to 0.00</li>
170
+ </ul>
171
+ </div>
172
+ <div class="highlight-box p-4 rounded">
173
+ <h3 class="font-medium text-blue-600 mb-2"><i class="fas fa-lightbulb mr-2"></i>Recommendations</h3>
174
+ <p class="text-gray-700">Verify meter readings during anomaly periods and investigate potential data entry errors. Consider implementing automated anomaly detection for future data collection.</p>
175
+ </div>
176
+ </div>
177
+ </div>
178
+ </div>
179
+ </div>
180
+
181
+ <div class="bg-white rounded-lg shadow-md p-6 mb-8">
182
+ <h2 class="text-xl font-semibold mb-4 text-gray-800">Comparative Analysis by Property</h2>
183
+ <div class="overflow-x-auto">
184
+ <table class="min-w-full divide-y divide-gray-200">
185
+ <thead class="bg-gray-50">
186
+ <tr>
187
+ <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Property</th>
188
+ <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Avg Water (M)</th>
189
+ <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Avg Water (H)</th>
190
+ <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Avg Electricity</th>
191
+ <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Avg Heating</th>
192
+ <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Notes</th>
193
+ </tr>
194
+ </thead>
195
+ <tbody class="bg-white divide-y divide-gray-200">
196
+ <tr>
197
+ <td class="px-6 py-4 whitespace-nowrap text-sm font-medium text-gray-900">NagyLajos</td>
198
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">72.45</td>
199
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">80.32</td>
200
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">14,123</td>
201
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">2,144</td>
202
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">Most consistent usage</td>
203
+ </tr>
204
+ <tr>
205
+ <td class="px-6 py-4 whitespace-nowrap text-sm font-medium text-gray-900">Rozsnyay</td>
206
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">182.34</td>
207
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">236.47</td>
208
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">7,611</td>
209
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">3,898</td>
210
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">Highest water usage</td>
211
+ </tr>
212
+ <tr>
213
+ <td class="px-6 py-4 whitespace-nowrap text-sm font-medium text-gray-900">Páva</td>
214
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">159.22</td>
215
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">162.45</td>
216
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">44,527</td>
217
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">4,100</td>
218
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">Most anomalies</td>
219
+ </tr>
220
+ </tbody>
221
+ </table>
222
+ </div>
223
+ </div>
224
+
225
+ <div class="bg-white rounded-lg shadow-md p-6">
226
+ <h2 class="text-xl font-semibold mb-4 text-gray-800">Key Insights</h2>
227
+ <div class="grid grid-cols-1 md:grid-cols-2 gap-6">
228
+ <div class="highlight-box p-6 rounded-lg">
229
+ <h3 class="text-lg font-medium text-blue-600 mb-3"><i class="fas fa-chart-pie mr-2"></i>Consumption Patterns</h3>
230
+ <ul class="list-disc pl-5 text-gray-700 space-y-2">
231
+ <li>Water consumption shows the most consistent upward trend across all properties</li>
232
+ <li>Electricity usage has the most variability with significant seasonal patterns</li>
233
+ <li>Heating costs are predictably highest in winter months but show property-specific patterns</li>
234
+ </ul>
235
+ </div>
236
+ <div class="highlight-box p-6 rounded-lg">
237
+ <h3 class="text-lg font-medium text-blue-600 mb-3"><i class="fas fa-exclamation-circle mr-2"></i>Data Quality Issues</h3>
238
+ <ul class="list-disc pl-5 text-gray-700 space-y-2">
239
+ <li>Several instances of missing data (empty cells in original dataset)</li>
240
+ <li>Extreme values that may represent meter reading errors</li>
241
+ <li>Negative values in heating costs that require verification</li>
242
+ <li>Meter resets (sudden drops to zero) that need investigation</li>
243
+ </ul>
244
+ </div>
245
+ </div>
246
+ </div>
247
+ </div>
248
+
249
+ <script>
250
+ // Tab functionality
251
+ function openTab(evt, tabName) {
252
+ var i, tabcontent, tabbuttons;
253
+
254
+ tabcontent = document.getElementsByClassName("tab-content");
255
+ for (i = 0; i < tabcontent.length; i++) {
256
+ tabcontent[i].classList.remove("active");
257
+ }
258
+
259
+ tabbuttons = document.getElementsByClassName("tab-button");
260
+ for (i = 0; i < tabbuttons.length; i++) {
261
+ tabbuttons[i].classList.remove("active");
262
+ }
263
+
264
+ document.getElementById(tabName).classList.add("active");
265
+ evt.currentTarget.classList.add("active");
266
+ }
267
+
268
+ // Water Chart
269
+ const waterCtx = document.getElementById('waterChart').getContext('2d');
270
+ const waterChart = new Chart(waterCtx, {
271
+ type: 'line',
272
+ data: {
273
+ labels: ['2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024'],
274
+ datasets: [
275
+ {
276
+ label: 'NagyLajos (M)',
277
+ data: [55, 96.7, null, null, null, null, null, null, null, null, null, null, null],
278
+ borderColor: '#3b82f6',
279
+ backgroundColor: 'rgba(59, 130, 246, 0.1)',
280
+ tension: 0.3,
281
+ fill: true
282
+ },
283
+ {
284
+ label: 'Rozsnyay (M)',
285
+ data: [null, null, null, null, 158.11, 197.19, 205.49, null, null, null, null, null, null],
286
+ borderColor: '#10b981',
287
+ backgroundColor: 'rgba(16, 185, 129, 0.1)',
288
+ tension: 0.3,
289
+ fill: true
290
+ },
291
+ {
292
+ label: 'Páva (M)',
293
+ data: [null, null, null, null, null, null, null, 3.65, 111.92, 168.11, 214.17, 261.17, 309.29],
294
+ borderColor: '#f59e0b',
295
+ backgroundColor: 'rgba(245, 158, 11, 0.1)',
296
+ tension: 0.3,
297
+ fill: true
298
+ }
299
+ ]
300
+ },
301
+ options: {
302
+ responsive: true,
303
+ plugins: {
304
+ title: {
305
+ display: true,
306
+ text: 'Water Meter (M) Consumption Over Time',
307
+ font: {
308
+ size: 16
309
+ }
310
+ },
311
+ tooltip: {
312
+ mode: 'index',
313
+ intersect: false
314
+ }
315
+ },
316
+ scales: {
317
+ y: {
318
+ beginAtZero: true,
319
+ title: {
320
+ display: true,
321
+ text: 'Consumption (units)'
322
+ }
323
+ }
324
+ }
325
+ }
326
+ });
327
+
328
+ // Electricity Chart
329
+ const electricityCtx = document.getElementById('electricityChart').getContext('2d');
330
+ const electricityChart = new Chart(electricityCtx, {
331
+ type: 'line',
332
+ data: {
333
+ labels: ['2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024'],
334
+ datasets: [
335
+ {
336
+ label: 'NagyLajos',
337
+ data: [12937, 15423, null, null, null, null, null, null, null, null, null, null, null],
338
+ borderColor: '#3b82f6',
339
+ backgroundColor: 'rgba(59, 130, 246, 0.1)',
340
+ tension: 0.3,
341
+ fill: true
342
+ },
343
+ {
344
+ label: 'Rozsnyay',
345
+ data: [null, null, null, null, 6110, 8624, 9074, null, null, null, null, null, null],
346
+ borderColor: '#10b981',
347
+ backgroundColor: 'rgba(16, 185, 129, 0.1)',
348
+ tension: 0.3,
349
+ fill: true,
350
+ pointBackgroundColor: function(context) {
351
+ return context.raw > 40000 ? '#ef4444' : '#10b981';
352
+ },
353
+ pointRadius: function(context) {
354
+ return context.raw > 40000 ? 7 : 3;
355
+ }
356
+ },
357
+ {
358
+ label: 'Páva',
359
+ data: [null, null, null, null, null, null, null, 41464, 44527, 45588, 47217, 48567, 50302],
360
+ borderColor: '#f59e0b',
361
+ backgroundColor: 'rgba(245, 158, 11, 0.1)',
362
+ tension: 0.3,
363
+ fill: true
364
+ }
365
+ ]
366
+ },
367
+ options: {
368
+ responsive: true,
369
+ plugins: {
370
+ title: {
371
+ display: true,
372
+ text: 'Electricity Consumption Over Time',
373
+ font: {
374
+ size: 16
375
+ }
376
+ },
377
+ tooltip: {
378
+ mode: 'index',
379
+ intersect: false
380
+ },
381
+ annotation: {
382
+ annotations: {
383
+ anomaly: {
384
+ type: 'box',
385
+ xMin: '2018',
386
+ xMax: '2018',
387
+ yMin: 0,
388
+ yMax: 45000,
389
+ backgroundColor: 'rgba(239, 68, 68, 0.1)',
390
+ borderColor: 'rgba(239, 68, 68, 0.5)',
391
+ borderWidth: 1,
392
+ label: {
393
+ content: 'Anomaly',
394
+ enabled: true,
395
+ position: 'top'
396
+ }
397
+ }
398
+ }
399
+ }
400
+ },
401
+ scales: {
402
+ y: {
403
+ beginAtZero: true,
404
+ title: {
405
+ display: true,
406
+ text: 'Consumption (units)'
407
+ }
408
+ }
409
+ }
410
+ }
411
+ });
412
+
413
+ // Heating Chart
414
+ const heatingCtx = document.getElementById('heatingChart').getContext('2d');
415
+ const heatingChart = new Chart(heatingCtx, {
416
+ type: 'bar',
417
+ data: {
418
+ labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
419
+ datasets: [
420
+ {
421
+ label: 'NagyLajos (2013)',
422
+ data: [2009, 2276, 2357, 2440, 2454, 2454, 2454, 2454, 2454, 2454, 2454, 2508],
423
+ backgroundColor: 'rgba(59, 130, 246, 0.7)'
424
+ },
425
+ {
426
+ label: 'Rozsnyay (2017)',
427
+ data: [9839, 10204, 10307, 10307, 10307, 10307, 10307, 10307, 10307, 10307, 10307, 10337],
428
+ backgroundColor: 'rgba(16, 185, 129, 0.7)'
429
+ },
430
+ {
431
+ label: 'Páva (2023)',
432
+ data: [437.939, 438.538, 439.38, 439.741, 439.741, 439.741, 439.741, 439.741, 439.741, 439.741, 439.741, 440.181],
433
+ backgroundColor: 'rgba(245, 158, 11, 0.7)'
434
+ }
435
+ ]
436
+ },
437
+ options: {
438
+ responsive: true,
439
+ plugins: {
440
+ title: {
441
+ display: true,
442
+ text: 'Monthly Heating Consumption Comparison',
443
+ font: {
444
+ size: 16
445
+ }
446
+ },
447
+ tooltip: {
448
+ mode: 'index',
449
+ intersect: false
450
+ }
451
+ },
452
+ scales: {
453
+ y: {
454
+ beginAtZero: true,
455
+ title: {
456
+ display: true,
457
+ text: 'Consumption (units)'
458
+ }
459
+ }
460
+ }
461
+ }
462
+ });
463
+
464
+ // Anomaly Chart
465
+ const anomalyCtx = document.getElementById('anomalyChart').getContext('2d');
466
+ const anomalyChart = new Chart(anomalyCtx, {
467
+ type: 'scatter',
468
+ data: {
469
+ datasets: [
470
+ {
471
+ label: 'Normal Readings',
472
+ data: [
473
+ {x: 2012, y: 12937},
474
+ {x: 2012, y: 13050},
475
+ {x: 2013, y: 14496},
476
+ {x: 2016, y: 6343},
477
+ {x: 2017, y: 7213},
478
+ {x: 2020, y: 44227},
479
+ {x: 2021, y: 45246},
480
+ {x: 2022, y: 47217}
481
+ ],
482
+ backgroundColor: '#3b82f6'
483
+ },
484
+ {
485
+ label: 'Anomalies',
486
+ data: [
487
+ {x: 2018, y: 41366},
488
+ {x: 2018, y: 0},
489
+ {x: 2018, y: 0},
490
+ {x: 2018, y: 0},
491
+ {x: 2018, y: 0},
492
+ {x: 2018, y: 0}
493
+ ],
494
+ backgroundColor: '#ef4444',
495
+ pointRadius: 8
496
+ }
497
+ ]
498
+ },
499
+ options: {
500
+ responsive: true,
501
+ plugins: {
502
+ title: {
503
+ display: true,
504
+ text: 'Electricity Consumption Anomalies',
505
+ font: {
506
+ size: 16
507
+ }
508
+ },
509
+ tooltip: {
510
+ callbacks: {
511
+ label: function(context) {
512
+ let label = context.dataset.label || '';
513
+ if (label) {
514
+ label += ': ';
515
+ }
516
+ if (context.parsed.y !== null) {
517
+ label += context.parsed.y.toLocaleString() + ' units';
518
+ }
519
+ return label;
520
+ }
521
+ }
522
+ }
523
+ },
524
+ scales: {
525
+ y: {
526
+ title: {
527
+ display: true,
528
+ text: 'Consumption (units)'
529
+ }
530
+ },
531
+ x: {
532
+ title: {
533
+ display: true,
534
+ text: 'Year'
535
+ }
536
+ }
537
+ }
538
+ }
539
+ });
540
+ </script>
541
+ <p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=Notmebug/wfwe" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
542
+ </html>
prompts.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ create more detailed analysis