├── Coffee Shop Sales.xlsx ├── Customers_Data.csv ├── ESD.xlsx ├── Maven+Market+CSV+Files (1).zip ├── P6-SuperStoreUS-2015.xlsx ├── Restaurant+Orders+CSV.zip ├── banking Data.xlsx ├── classic_models_dataset.zip ├── company.csv ├── company1.csv ├── expense3.xlsx ├── food_data.csv ├── hotel_bookings.csv ├── hotel_guests_dataset.csv ├── hr-schema-mysql.sql ├── mental_health_survey.csv ├── movies.csv ├── mysqlsampledatabase.sql ├── pizza_sales ├── order_details.csv ├── orders.csv ├── pizza_types.csv └── pizzas.csv ├── sikar_garbage_collection_complaints_dataset.xlsx ├── spotify_album_url.py └── student_scores.csv /Coffee Shop Sales.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/Coffee Shop Sales.xlsx -------------------------------------------------------------------------------- /Customers_Data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/Customers_Data.csv -------------------------------------------------------------------------------- /ESD.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/ESD.xlsx -------------------------------------------------------------------------------- /Maven+Market+CSV+Files (1).zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/Maven+Market+CSV+Files (1).zip -------------------------------------------------------------------------------- /P6-SuperStoreUS-2015.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/P6-SuperStoreUS-2015.xlsx -------------------------------------------------------------------------------- /Restaurant+Orders+CSV.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/Restaurant+Orders+CSV.zip -------------------------------------------------------------------------------- /banking Data.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/banking Data.xlsx -------------------------------------------------------------------------------- /classic_models_dataset.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/classic_models_dataset.zip -------------------------------------------------------------------------------- /company.csv: -------------------------------------------------------------------------------- 1 | ,Name,gender,salary 2 | 0,ayushi,F,20000 3 | 1,rohit,M,25000 4 | 2,pranjali,F,27000 5 | -------------------------------------------------------------------------------- /company1.csv: -------------------------------------------------------------------------------- 1 | EEID,Name,gender,salary 2 | EMP01,ayushi,F, 3 | EMP02,rohit,M,25000 4 | EMP03,pranjali,,27000 5 | EMP01,ayushi,F,20000 6 | EMP05,,M,25000 7 | EMP06,rohit,M, 8 | EMP02,rohit,M,25000 9 | -------------------------------------------------------------------------------- /expense3.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/expense3.xlsx -------------------------------------------------------------------------------- /food_data.csv: -------------------------------------------------------------------------------- 1 | Calories,Protein,Fat,Carbs,Fibre,,"Note: Protein, Fat, Carbs, Fibre, are measured in grams" 2 | 73,2,,16,0.4,, 3 | 129,3,,29,0.1,, 4 | 45,1,1,7,0.2,, 5 | 206,2,4,39,1.8,, 6 | 296,2,14,43,2.0,, 7 | 411,4,19,58,2.3,, 8 | 196,3,6,33,0.7,, 9 | 231,3,12,29,0.6,, 10 | 186,3,8,25,0.7,, 11 | 97,2,4,14,0.4,, 12 | 212,4,10,27,0.9,, 13 | 93,2,4,13,0.4,, 14 | 232,2,8,39,1.3,, 15 | 162,6,5,24,0.9,, 16 | 197,3,5,33,2.4,, 17 | 138,2,6,22,0.7,, 18 | 168,2,10,18,0.8,, 19 | 248,2,14,29,0.7,, 20 | 542,5,28,70,1.5,, 21 | 135,2,3,26,1.2,, 22 | 321,6,23,26,0.4,, 23 | 407,8,19,53,2.8,, 24 | 459,11,23,55,0.8,, 25 | 325,3,14,50,1.0,, 26 | 98,1,5,13,0.6,, 27 | 156,2,9,19,0.9,, 28 | 118,1,5,16,0.4,, 29 | 129,1,4,21,0.6,, 30 | 344,3,22,38,2.3,, 31 | 93,1,4,14,0.6,, 32 | 362,4,13,61,2.0,, 33 | 282,3,10,48,2.0,, 34 | 408,4,16,67,1.9,, 35 | 191,1,11,24,0.8,, 36 | 194,2,6,35,0.9,, 37 | 237,4,13,26,1.1,, 38 | 142,2,4,24,0.5,, 39 | 231,5,12,26,1.5,, 40 | 262,5,15,29,0.8,, 41 | 263,4,13,34,1.3,, 42 | 226,3,8,37,2.3,, 43 | 198,2,11,23,0.7,, 44 | 270,3,18,27,1.1,, 45 | 242,4,14,27,0.7,, 46 | 289,5,16,33,0.8,, 47 | 262,6,16,24,0.6,, 48 | 111,1,2,23,1.5,, 49 | 404,4,21,55,3.3,, 50 | 139,1,4,26,1.6,, 51 | 58,1,1,11,0.3,, 52 | 212,3,7,35,0.8,, 53 | 59,1,1,11,0.4,, 54 | 105,2,4,17,1.1,, 55 | 118,3,5,16,1.3,, 56 | 109,1,3,20,1.0,, 57 | 127,2,6,18,1.6,, 58 | 188,4,12,20,1.0,, 59 | 124,2,5,19,1.3,, 60 | 303,2,10,53,1.4,, 61 | 477,4,18,79,4.3,, 62 | 129,2,4,22,0.3,, 63 | 178,2,6,30,0.6,, 64 | 199,4,8,32,3.7,, 65 | 344,7,14,49,1.9,, 66 | 366,8,14,53,2.4,, 67 | 313,6,7,54,2.9,, 68 | 162,4,6,23,0.9,, 69 | 117,2,5,18,0.7,, 70 | 134,2,5,20,0.7,, 71 | 134,2,6,18,0.5,, 72 | 190,4,10,24,1.5,, 73 | 452,5,21,65,4.0,, 74 | 391,5,23,42,0.4,, 75 | 229,4,10,30,2.9,, 76 | 91,1,2,18,0.1,, 77 | 80,1,4,10,0.3,, 78 | 185,2,12,19,0.5,, 79 | 234,5,8,34,1.0,, 80 | 72,1,1,15,0.1,, 81 | 187,5,3,36,0.2,, 82 | 143,2,6,20,0.2,, 83 | 142,2,4,25,0.4,, 84 | 407,3,31,31,0.5,, 85 | 206,3,7,34,0.5,, 86 | 215,2,6,39,0.4,, 87 | 57,1,2,9,0.2,, 88 | 363,3,10,66,0.9,, 89 | 283,2,8,52,1.0,, 90 | 371,3,9,70,0.3,, 91 | 363,4,11,64,0.9,, 92 | 210,1,,47,0,, 93 | 183,1,0,10,0.7,, 94 | 99,1,0,5,0,, 95 | 140,1,0,10,0,, 96 | 149,5,3,26,0,, 97 | 131,,,32,0.3,, 98 | 0,0,0,0,0,, 99 | 237,,,9,0.1,, 100 | 246,,,6,0.1,, 101 | 3,,,0,0,, 102 | 3,,0,0,0,, 103 | 5,,,1,0,, 104 | 101,5,6,7,0,, 105 | 13,,,3,0.8,, 106 | 110,,0,28,0,, 107 | 3,,0,,0,, 108 | 107,0,0,28,0,, 109 | 3,0,,1,0,, 110 | 102,0,,26,0,, 111 | 102,0,,26,0,, 112 | 123,0,0,33,0,, 113 | 88,0,0,23,0,, 114 | 211,2,9,28,0,, 115 | 127,3,1,27,0,, 116 | 127,3,2,26,0,, 117 | 91,0,0,23,0,, 118 | 93,,,23,0,, 119 | 105,,,27,0.2,, 120 | 104,0,0,27,0,, 121 | 172,1,8,11,0,, 122 | 113,,,29,0.3,, 123 | 0,0,0,,0,, 124 | 134,0,,34,0,, 125 | 135,0,0,34,0,, 126 | 126,0,0,32,0,, 127 | 87,,,12,0.1,, 128 | 109,0,0,0,0,, 129 | 29,0,0,8,0,, 130 | 67,0,,16,0,, 131 | 3,0,,1,0,, 132 | 3,0,,1,0,, 133 | 124,0,0,32,0,, 134 | 220,,1,33,0.3,, 135 | 0,0,0,0,0,, 136 | 0,0,0,0,0,, 137 | 203,,0,17,0,, 138 | 90,,0,2,0,, 139 | 85,,0,1,0,, 140 | 104,9,1.4,12,2,, 141 | 177,11,9.3,1,14,, 142 | 186,12,9.4,1,15,, 143 | 167,10,8.7,,14,, 144 | 150,10,7.6,,12,, 145 | 202,12,10.5,1,17,, 146 | 141,14,5.8,1,9,, 147 | 86,15,0.8,3,1,, 148 | 70,3,3.4,2,5,, 149 | 103,2,6.5,1,10,, 150 | 179,12,8.8,1,14,, 151 | 132,7,7.7,2,11,, 152 | 134,9,7.3,,11,, 153 | 178,13,9.0,1,14,, 154 | 207,15,9.5,,16,, 155 | 120,8,4.4,6,7,, 156 | 141,10,6.8,1,11,, 157 | 127,13,5.2,1,8,, 158 | 27,2,1.1,,2,, 159 | 78,5,4.1,,7,, 160 | 50,4,1.8,2,3,, 161 | 90,5,4.1,3,7,, 162 | 69,6,2.2,4,3,, 163 | 181,15,6.5,7,10,, 164 | 25,2,1.1,,2,, 165 | 190,13,8.9,3,14,, 166 | 70,5,3.3,,5,, 167 | 207,9,3.4,33,6,, 168 | 238,10,3.3,38,5,, 169 | 21,,0.3,2,2,, 170 | 11,,0.6,1,1,, 171 | 9,,0.1,1,,, 172 | 18,,1.0,1,2,, 173 | 39,,2.1,2,3,, 174 | 60,,4.1,4,5,, 175 | 42,1,2.1,4,2,, 176 | 37,1,2.0,3,2,, 177 | 47,,3.4,3,4,, 178 | 145,5,2.1,24,3,, 179 | 362,10,11.9,36,20,, 180 | 68,3,1.1,10,2,, 181 | 78,3,0,15,1,, 182 | 203,9,3.8,28,6,, 183 | 255,10,3.8,41,6,, 184 | 160,2,0.9,34,2,, 185 | 260,16,3.1,36,5,, 186 | 104,6,3.8,7,6,, 187 | 296,8,4.2,53,7,, 188 | 279,10,4.7,44,8,, 189 | 166,9,1.6,28,3,, 190 | 190,8,3.3,27,5,, 191 | 62,2,1.1,11,2,, 192 | 122,10,1.6,15,3,, 193 | 15,1,0.2,2,,, 194 | 105,10,0.2,15,,, 195 | 13,1,,2,,, 196 | 178,9,6.3,13,10,, 197 | 21,1,0.8,2,1,, 198 | 108,9,1.6,13,3,, 199 | 129,9,3.3,12,5,, 200 | 146,10,3.2,14,5,, 201 | 86,8,0.1,13,,, 202 | 88,9,0.2,13,,, 203 | 155,8,5.4,12,8,, 204 | 149,4,1.6,27,3,, 205 | 138,3,0.7,23,4,, 206 | 96,3,0.2,20,,, 207 | 160,4,1.2,32,2,, 208 | 161,2,1.2,22,7,, 209 | 118,2,0.6,19,4,, 210 | 88,2,0,20,,, 211 | 128,2,0.6,22,4,, 212 | 92,2,,22,,, 213 | 127,,0.2,26,2,, 214 | 5,1,,1,,, 215 | 22,,1.3,1,2,, 216 | 21,1,1.0,1,2,, 217 | 162,6,0.6,26,4,, 218 | 110,7,0.5,13,4,, 219 | 85,7,0.5,4,4,, 220 | 28,,1.7,1,3,, 221 | 49,,3.3,,5,, 222 | 100,1,6.2,3,10,, 223 | 233,7,2.7,40,5,, 224 | 114,10,1.8,13,3,, 225 | 129,9,3.3,12,5,, 226 | 79,8,0,11,,, 227 | 183,7,2.3,30,4,, 228 | 116,8,,21,,, 229 | 94,7,0,16,,, 230 | 226,14,17,4,,, 231 | 16,3,0,,,, 232 | 59,3,6,1,,, 233 | 173,12,14,2,,, 234 | 78,6,5,1,,, 235 | 74,6,5,,,, 236 | 572,34,35,30,,, 237 | 189,13,14,4,,, 238 | 273,18,20,5,,, 239 | 319,15,24,13,,, 240 | 237,17,17,5,,, 241 | 266,24,15,9,2.2,, 242 | 483,27,18,52,0.4,, 243 | 477,16,31,33,1.1,, 244 | 289,17,13,27,1.5,, 245 | 650,30,35,53,1.8,, 246 | 319,15,15,32,1.3,, 247 | 295,22,15,18,2.6,, 248 | 200,21,9,10,2.2,, 249 | 343,12,13,44,1.3,, 250 | 632,29,39,42,2.2,, 251 | 335,33,12,23,1.2,, 252 | 283,22,17,9,0.3,, 253 | 285,15,18,16,0.9,, 254 | 270,26,9,23,4.9,, 255 | 197,7,8,24,1.1,, 256 | 310,22,7,37,2.0,, 257 | 113,5,6,9,0.7,, 258 | 523,21,29,48,2.4,, 259 | 236,3,12,29,2.5,, 260 | 192,5,8,26,1.5,, 261 | 806,50,62,8,0.6,, 262 | 576,32,32,39,1.9,, 263 | 275,12,12,31,1.3,, 264 | 167,17,8,5,0.5,, 265 | 242,10,15,18,0.9,, 266 | 223,6,6,36,3.3,, 267 | 195,6,5,31,0.2,, 268 | 276,4,16,31,1.7,, 269 | 210,9,8,25,1.5,, 270 | 219,11,9,23,1.4,, 271 | 193,8,7,24,1.8,, 272 | 250,11,12,24,1.9,, 273 | 216,7,4,38,3.4,, 274 | 456,22,19,51,3.0,, 275 | 417,24,16,44,3.3,, 276 | 584,30,28,55,2.9,, 277 | 199,9,10,17,0.5,, 278 | 359,19,19,28,4.5,, 279 | 191,15,7,15,1.0,, 280 | 532,32,25,44,3.5,, 281 | 60,1,5,3,0.3,, 282 | 110,0,12,0,,, 283 | 17,,2,,,, 284 | 34,,4,,,, 285 | 34,,4,,,, 286 | 34,,4,,,, 287 | 34,,4,,,, 288 | 34,,4,,,, 289 | 34,,4,,,, 290 | 117,0,13,0,,, 291 | 34,,4,,,, 292 | 125,0,14,0,,, 293 | 122,0,14,0,,, 294 | 122,0,14,0,,, 295 | 122,0,14,0,,, 296 | 121,0,14,0,,, 297 | 121,0,14,0,,, 298 | 122,0,14,0,,, 299 | 122,0,14,0,,, 300 | 122,0,14,0,,, 301 | 78,1,8,1,,, 302 | 15,1,1,,,, 303 | 79,,9,,,, 304 | 17,,1,3,,, 305 | 21,,,5,,, 306 | 72,,7,2,,, 307 | 33,,2,4,,, 308 | 43,,4,2,,, 309 | 11,,1,1,,, 310 | 100,,11,1,,, 311 | 51,,5,1,,, 312 | 7,,,1,,, 313 | 73,0,8,,,, 314 | 71,,8,1,,, 315 | 36,,3,3,,, 316 | 58,,5,4,,, 317 | 14,,,3,,, 318 | 44,0,4,2,,, 319 | 59,,6,2,,, 320 | 32,,2,3,,, 321 | 115,0,13,0,,, 322 | 34,,4,,,, 323 | 33,,4,,,, 324 | 17,2,1,0,,, 325 | 119,20,4,0,,, 326 | 110,18,4,0,,, 327 | 71,16,1,0,,, 328 | 156,14,7,9,,, 329 | 114,14,6,0,,, 330 | 41,4,3,1,,, 331 | 98,17,3,0,,, 332 | 88,17,2,0,,, 333 | 89,15,1,3,,, 334 | 125,22,2,4,,, 335 | 79,17,1,0,,, 336 | 62,13,1,0,,, 337 | 93,12,5,,,, 338 | 71,15,1,0,,, 339 | 68,8,1,7,,, 340 | 72,15,1,0,,, 341 | 52,11,1,0,,, 342 | 240,16,12,15,,, 343 | 265,22,15,9,,, 344 | 227,13,10,20,,, 345 | 63,7,1,6,,, 346 | 80,17,1,0,,, 347 | 84,18,1,0,,, 348 | 105,20,2,0,,, 349 | 163,18,9,0,,, 350 | 75,16,,1,,, 351 | 197,18,13,0,,, 352 | 129,18,3,6,,, 353 | 91,18,2,0,,, 354 | 58,6,2,3,,, 355 | 90,9,3,5,,, 356 | 50,4,1,5,,, 357 | 89,18,1,0,,, 358 | 71,16,1,0,,, 359 | 89,19,1,0,,, 360 | 155,17,9,0,,, 361 | 116,19,4,0,,, 362 | 106,16,4,0,,, 363 | 106,16,4,0,,, 364 | 134,18,6,0,,, 365 | 116,24,9,0,,, 366 | 113,17,4,1,,, 367 | 102,17,4,0,,, 368 | 47,7,2,0,,, 369 | 47,7,2,0,,, 370 | 162,20,8,0,,, 371 | 220,26,12,0,,, 372 | 197,22,11,1,,, 373 | 87,18,1,0,,, 374 | 30,6,,0,,, 375 | 160,14,8,8,,, 376 | 201,17,10,10,,, 377 | 96,20,1,0,,, 378 | 88,18,1,0,,, 379 | 127,18,5,0,,, 380 | 203,17,10,10,,, 381 | 87,19,1,0,,, 382 | 149,22,6,0,,, 383 | 92,15,3,0,,, 384 | 100,17,3,0,,, 385 | 59,,,15,0.1,, 386 | 72,,,19,2.6,, 387 | 55,,,15,1.5,, 388 | 67,1,,17,1.2,, 389 | 50,1,,12,2.1,, 390 | 161,2,15,9,6.7,, 391 | 105,1,,27,2.1,, 392 | 33,1,,7,4.0,, 393 | 42,,1,10,2.6,, 394 | 44,1,,11,2.0,, 395 | 43,1,,11,1.4,, 396 | 35,1,,9,1.3,, 397 | 95,,,25,1.8,, 398 | 76,0,,19,0.1,, 399 | 61,1,,16,0.1,, 400 | 24,,0,6,0.1,, 401 | 70,1,,19,2.0,, 402 | 42,1,,11,1.6,, 403 | 37,,,10,1.5,, 404 | 58,1,,15,1.3,, 405 | 73,1,,19,1.3,, 406 | 117,1,,30,1.8,, 407 | 70,1,,18,1.1,, 408 | 67,,,17,0.1,, 409 | 81,1,,20,0.1,, 410 | 50,1,,12,0.4,, 411 | 61,1,,15,0.1,, 412 | 52,1,,13,2.0,, 413 | 39,1,,10,2.1,, 414 | 69,1,,18,1.2,, 415 | 46,1,,11,2.3,, 416 | 3,,,1,0.1,, 417 | 3,,,1,0.1,, 418 | 63,1,,16,1.2,, 419 | 67,1,,18,1.9,, 420 | 29,1,,7,0.6,, 421 | 32,,,8,0.7,, 422 | 24,,,6,0.3,, 423 | 74,,,19,0.8,, 424 | 68,,,17,0.4,, 425 | 60,1,,14,2.3,, 426 | 62,1,,15,2.3,, 427 | 56,1,,13,0.1,, 428 | 59,1,,14,0.3,, 429 | 58,1,,13,0.3,, 430 | 58,1,,13,0.3,, 431 | 57,1,,15,0.2,, 432 | 29,,,7,1.3,, 433 | 38,1,,9,1.9,, 434 | 58,1,,15,1.7,, 435 | 72,1,,19,1.7,, 436 | 31,1,,8,1.7,, 437 | 96,1,,26,5.0,, 438 | 66,,,17,2.1,, 439 | 76,,,20,2.1,, 440 | 37,,,10,2.0,, 441 | 74,,,18,0.3,, 442 | 79,1,,21,1.2,, 443 | 42,,,11,1.1,, 444 | 94,1,,25,1.9,, 445 | 30,,,8,1.1,, 446 | 53,1,,13,0.5,, 447 | 72,0,0,20,0,, 448 | 96,1,,24,1.4,, 449 | 60,1,,16,1.8,, 450 | 67,1,,18,3.6,, 451 | 110,1,,29,1.3,, 452 | 34,1,,8,4.2,, 453 | 147,,,40,2.5,, 454 | 27,1,,6,1.9,, 455 | 41,1,,11,1.8,, 456 | 45,1,,11,1.5,, 457 | 38,1,,9,1.2,, 458 | 70,2,1,22,11.3,, 459 | 92,4,1,27,11.8,, 460 | 173,4,3,34,3.0,, 461 | 139,2,1,30,1.1,, 462 | 195,7,1,38,1.6,, 463 | 84,2,,19,0.5,, 464 | 102,2,,23,2.0,, 465 | 185,5,1,41,7.4,, 466 | 41,1,1,7,0.3,, 467 | 188,3,9,23,3.1,, 468 | 96,3,1,18,1.1,, 469 | 95,3,1,18,0.9,, 470 | 88,4,1,16,2.2,, 471 | 192,7,2,36,1.4,, 472 | 94,3,2,17,1.4,, 473 | 165,5,1,33,1.3,, 474 | 170,6,2,35,4.7,, 475 | 88,3,1,17,2.3,, 476 | 96,3,2,18,1.5,, 477 | 91,3,1,17,2.0,, 478 | 72,3,1,16,3.4,, 479 | 93,3,1,18,0.8,, 480 | 100,3,2,17,0.7,, 481 | 86,3,1,16,2.4,, 482 | 97,3,2,18,2.1,, 483 | 80,3,,18,2.7,, 484 | 108,1,1,23,0.7,, 485 | 134,3,1,28,2.1,, 486 | 95,3,2,18,2.2,, 487 | 75,2,4,9,0.4,, 488 | 188,11,3,28,5.2,, 489 | 123,1,3,22,1.0,, 490 | 124,3,2,30,6.1,, 491 | 103,2,,23,0.7,, 492 | 130,1,,30,0.4,, 493 | 267,6,1,57,5.4,, 494 | 93,3,,19,0.7,, 495 | 46,2,,9,0.7,, 496 | 31,1,1,6,0.4,, 497 | 69,1,4,8,0.3,, 498 | 133,4,1,26,1.5,, 499 | 126,5,1,25,2.6,, 500 | 79,3,1,24,14.1,, 501 | 126,4,4,19,0.6,, 502 | 149,5,7,16,0.7,, 503 | 116,1,1,26,0.6,, 504 | 142,2,,33,0.6,, 505 | 93,3,1,22,4.3,, 506 | 122,2,5,18,1.0,, 507 | 226,5,3,46,3.5,, 508 | 245,5,8,41,5.3,, 509 | 208,6,1,46,6.0,, 510 | 218,5,9,31,3.3,, 511 | 92,1,,21,0.2,, 512 | 172,4,1,38,2.2,, 513 | 124,5,2,23,2.9,, 514 | 132,2,1,28,1.7,, 515 | 209,7,1,42,1.8,, 516 | 112,3,,24,0.9,, 517 | 39,1,,8,0.6,, 518 | 109,2,4,17,0.5,, 519 | 121,3,1,29,3.6,, 520 | 144,5,2,28,3.5,, 521 | 120,1,1,27,0.6,, 522 | 60,1,4,7,0.4,, 523 | 225,8,2,42,1.9,, 524 | 73,3,1,12,3.4,, 525 | 122,9,3,33,5.2,, 526 | 200,7,4,35,5.3,, 527 | 131,3,3,23,2.3,, 528 | 133,3,2,25,2.3,, 529 | 141,3,2,29,2.8,, 530 | 112,4,2,20,2.7,, 531 | 99,4,2,17,2.6,, 532 | 73,3,3,10,1.1,, 533 | 112,3,3,20,0.8,, 534 | 64,1,2,11,0.4,, 535 | 94,2,1,18,0.7,, 536 | 86,2,4,11,0.5,, 537 | 220,9,3,40,3.7,, 538 | 223,9,3,41,2.2,, 539 | 302,6,,70,0.1,, 540 | 112,2,6,13,1.0,, 541 | 45,2,,9,1.4,, 542 | 70,2,1,13,1.3,, 543 | 187,5,1,47,6.7,, 544 | 371,9,13,54,2.0,, 545 | 115,4,1,24,4.0,, 546 | 128,2,3,24,0.6,, 547 | 305,5,1,67,2.0,, 548 | 110,2,,24,0.3,, 549 | 203,2,,46,1.9,, 550 | 115,3,1,24,1.5,, 551 | 109,2,,24,0.4,, 552 | 85,2,,19,0.5,, 553 | 105,2,,23,0.4,, 554 | 88,3,,18,1.6,, 555 | 167,6,2,30,1.3,, 556 | 85,2,2,14,0.9,, 557 | 75,2,1,14,2.1,, 558 | 120,4,2,21,0.9,, 559 | 113,4,3,19,1.6,, 560 | 41,1,1,7,0.6,, 561 | 198,5,1,43,7.9,, 562 | 67,2,,16,4.6,, 563 | 51,1,1,9,0.4,, 564 | 52,1,1,9,0.4,, 565 | 91,3,1,21,3.5,, 566 | 138,4,1,32,4.4,, 567 | 174,25,1,20,9.2,, 568 | 209,7,1,42,2.5,, 569 | 183,8,1,39,4.8,, 570 | 94,4,,18,0.3,, 571 | 60,1,3,7,0.2,, 572 | 60,1,3,7,0.2,, 573 | 103,1,1,24,0.8,, 574 | 61,1,3,8,1.0,, 575 | 41,1,1,8,1.2,, 576 | 159,4,3,27,1.6,, 577 | 117,1,1,27,1.0,, 578 | 103,3,4,14,0.5,, 579 | 87,2,3,13,0.8,, 580 | 130,4,1,29,4.4,, 581 | 8,1,,2,1.6,, 582 | 95,2,3,13,1.4,, 583 | 79,2,2,12,0.9,, 584 | 240,7,1,50,2.0,, 585 | 261,9,1,52,1.7,, 586 | 262,6,1,56,1.2,, 587 | 215,9,1,46,7.7,, 588 | 27,2,1,4,1.1,, 589 | 71,1,3,11,1.7,, 590 | 205,5,19,7,1.2,, 591 | 208,8,18,7,4.2,, 592 | 242,8,22,7,4.2,, 593 | 209,8,18,7,4.1,, 594 | 283,10,10,40,10.3,, 595 | 177,9,1,40,7.7,, 596 | 198,10,3,37,10.4,, 597 | 162,11,1,29,12.2,, 598 | 161,10,1,30,12.1,, 599 | 219,15,1,40,9.9,, 600 | 153,9,1,27,8.2,, 601 | 175,10,2,29,9.9,, 602 | 227,14,1,43,9.3,, 603 | 137,8,1,24,5.9,, 604 | 233,5,24,4,2.7,, 605 | 190,6,16,9,0.6,, 606 | 199,5,16,11,1.0,, 607 | 211,9,2,40,7.8,, 608 | 57,2,3,5,1.3,, 609 | 56,2,4,3,3.0,, 610 | 215,5,21,6,3.3,, 611 | 94,4,5,8,3.4,, 612 | 170,13,1,29,6.2,, 613 | 190,14,1,32,5.9,, 614 | 243,3,26,4,2.7,, 615 | 168,15,9,6,3.1,, 616 | 148,16,7,6,3.5,, 617 | 222,6,20,8,3.2,, 618 | 206,6,18,9,3.1,, 619 | 206,6,18,9,3.1,, 620 | 191,8,16,7,2.6,, 621 | 184,7,16,7,2.5,, 622 | 191,8,16,6,1.8,, 623 | 190,9,12,13,1.9,, 624 | 219,10,19,6,2.7,, 625 | 217,9,18,8,3.0,, 626 | 171,12,1,31,4.2,, 627 | 173,2,18,3,2.4,, 628 | 230,5,23,4,1.3,, 629 | 177,7,14,8,3.2,, 630 | 189,9,16,6,1.4,, 631 | 181,5,16,6,2.8,, 632 | 136,15,6,5,3.2,, 633 | 220,21,11,13,8.0,, 634 | 189,6,16,8,2.9,, 635 | 189,21,11,3,0,, 636 | 83,7,4,4,0.2,, 637 | 138,18,4,7,5.7,, 638 | 106,10,6,2,0,, 639 | 166,4,17,3,1.7,, 640 | 107,9,6,4,1.8,, 641 | 87,11,4,1,,, 642 | 130,9,10,,,, 643 | 130,9,10,,,, 644 | 194,24,10,0,,, 645 | 95,20,1,0,,, 646 | 200,26,10,0,,, 647 | 227,23,14,0,,, 648 | 181,24,8,0,,, 649 | 196,25,9,0,,, 650 | 197,27,9,0,,, 651 | 148,24,5,0,,, 652 | 171,28,5,0,,, 653 | 184,25,8,0,,, 654 | 167,23,8,0,,, 655 | 194,22,11,0,,, 656 | 214,22,13,0,,, 657 | 243,22,17,0,,, 658 | 133,24,3,0,,, 659 | 175,30,5,0,,, 660 | 158,25,5,0,,, 661 | 195,29,8,0,,, 662 | 230,20,16,0,,, 663 | 232,23,15,0,,, 664 | 164,21,8,0,,, 665 | 309,17,26,0,,, 666 | 156,25,5,0,,, 667 | 237,21,16,0,,, 668 | 183,28,7,0,,, 669 | 191,23,10,0,,, 670 | 216,22,13,0,,, 671 | 170,24,7,0,,, 672 | 146,21,6,0,,, 673 | 107,21,2,0,,, 674 | 153,7,13,3,,, 675 | 129,6,11,1,,, 676 | 127,7,9,4,,, 677 | 122,24,2,0,,, 678 | 142,19,7,0,,, 679 | 119,25,2,0,,, 680 | 161,16,10,0,,, 681 | 127,19,5,0,,, 682 | 179,20,10,0,,, 683 | 143,22,6,0,,, 684 | 187,15,14,0,,, 685 | 127,19,5,0,,, 686 | 218,20,15,0,,, 687 | 110,23,1,0,0.0,, 688 | 89,9,5,,,, 689 | 195,17,14,0,,, 690 | 153,16,9,0,,, 691 | 101,11,6,1,,, 692 | 69,9,3,1,,, 693 | 193,5,19,,,, 694 | 119,23,2,0,,, 695 | 83,11,4,,,, 696 | 75,8,4,1,,, 697 | 48,10,,1,,, 698 | 62,10,2,1,,, 699 | 91,9,5,2,,, 700 | 147,7,12,2,,, 701 | 63,8,2,4,,, 702 | 253,14,21,0,,, 703 | 128,23,3,0,,, 704 | 117,24,2,0,,, 705 | 107,20,2,0,,, 706 | 179,22,10,0,,, 707 | 150,23,6,0,,, 708 | 62,9,2,,,, 709 | 48,6,3,,,, 710 | 124,16,6,,,, 711 | 81,10,4,0,,, 712 | 118,19,4,1,,, 713 | 124,21,4,,,, 714 | 131,21,5,0,,, 715 | 119,20,3,0,,, 716 | 124,9,9,2,,, 717 | 182,21,10,0,,, 718 | 212,19,15,0,,, 719 | 194,19,12,0,,, 720 | 232,17,18,0,,, 721 | 269,16,22,0,,, 722 | 207,17,15,0,,, 723 | 203,19,13,0,,, 724 | 194,20,12,0,,, 725 | 176,19,10,0,,, 726 | 222,18,16,0,,, 727 | 238,15,19,0,,, 728 | 257,22,18,0,,, 729 | 93,4,8,1,,, 730 | 131,20,4,4,,, 731 | 129,19,5,1,,, 732 | 145,21,5,3,,, 733 | 121,26,1,0,,, 734 | 119,20,4,0,,, 735 | 123,22,3,0,,, 736 | 74,10,3,1,,, 737 | 84,4,7,,,, 738 | 252,11,22,2,,, 739 | 274,21,20,0,,, 740 | 180,22,10,0,,, 741 | 208,22,12,0,,, 742 | 175,19,11,0,,, 743 | 224,18,16,0,,, 744 | 189,22,11,0,,, 745 | 197,22,12,0,,, 746 | 199,20,13,0,,, 747 | 198,19,13,0,,, 748 | 219,17,16,0,,, 749 | 251,20,18,0,,, 750 | 108,21,2,0,,, 751 | 116,23,2,0,,, 752 | 148,22,6,0,,, 753 | 118,6,9,2,,, 754 | 185,12,15,1,,, 755 | 182,7,14,7,,, 756 | 184,11,14,2,,, 757 | 51,2,5,,,, 758 | 35,2,3,,,, 759 | 258,14,20,3,,, 760 | 147,18,8,0,,, 761 | 129,26,2,0,,, 762 | 99,20,2,0,,, 763 | 188,9,17,,,, 764 | 94,17,2,0,,, 765 | 200,14,15,,,, 766 | 50,6,3,,,, 767 | 162,17,9,0,,, 768 | 139,19,6,0,,, 769 | 176,21,10,0,,, 770 | 143,21,4,0,,, 771 | 116,21,2,0,,, 772 | 173,23,9,0,,, 773 | 136,27,2,0,,, 774 | 142,28,2,0,,, 775 | 129,18,6,0,,, 776 | 171,20,7,7,,, 777 | 120,21,3,0,,, 778 | 163,19,9,0,,, 779 | 142,23,5,0,,, 780 | 141,26,3,0,,, 781 | 110,5,9,1,,, 782 | 104,5,8,2,,, 783 | 107,5,9,2,,, 784 | 58,4,4,2,,, 785 | 93,4,7,2,,, 786 | 34,2,0.3,2,2,, 787 | 108,2,5.8,1,11,, 788 | 31,2,0.7,3,1,, 789 | 20,1,0.2,3,1,, 790 | 48,1,0.9,3,3,, 791 | 22,1,0.2,4,1,, 792 | 31,2,0.4,3,1,, 793 | 22,1,0.2,4,1,, 794 | 15,,,4,,, 795 | 11,1,,1,1,, 796 | 23,,0.3,1,2,, 797 | 13,,0.1,1,1,, 798 | 50,1,2.5,3,4,, 799 | 20,,,5,,, 800 | 12,,,3,,, 801 | 33,,,9,,, 802 | 5,,,1,,, 803 | 12,,,2,,, 804 | 81,5,2.1,7,4,, 805 | 106,,,27,,, 806 | 121,5,4.3,3,10,, 807 | 7,,,1,,, 808 | 9,,,2,,, 809 | 20,,0.1,4,,, 810 | 15,1,0,3,0,, 811 | 89,2,1.7,6,6,, 812 | 74,1,1.6,2,7,, 813 | 638,18,38,57,2.0,, 814 | 168,18,4,14,1.8,, 815 | 189,8,6,27,3.8,, 816 | 316,20,12,32,2.2,, 817 | 368,28,23,13,1.5,, 818 | 350,19,8,50,4.1,, 819 | 494,21,29,37,3.1,, 820 | 558,32,26,47,2.8,, 821 | 364,22,14,37,2.4,, 822 | 355,19,11,46,2.9,, 823 | 395,11,17,49,2.0,, 824 | 319,23,10,32,1.9,, 825 | 346,9,19,36,4.1,, 826 | 220,15,6,26,1.5,, 827 | 380,13,26,25,1.9,, 828 | 627,31,38,40,2.5,, 829 | 179,5,15,7,1.7,, 830 | 491,41,31,12,3.7,, 831 | 47,1,4,4,0.9,, 832 | 139,4,13,4,1.1,, 833 | 245,5,10,33,2.2,, 834 | 306,5,18,32,2.1,, 835 | 479,14,35,27,1.2,, 836 | 260,13,10,28,2.1,, 837 | 388,40,10,31,1.7,, 838 | 346,22,14,33,2.5,, 839 | 340,16,16,33,1.7,, 840 | 371,20,18,33,1.7,, 841 | 389,17,17,40,3.1,, 842 | 250,9,2,47,1.9,, 843 | 401,19,14,50,4.9,, 844 | 290,22,14,20,2.2,, 845 | 255,18,17,8,1.5,, 846 | 183,14,10,10,1.4,, 847 | 164,5,,35,0.8,, 848 | 122,2,,27,0.5,, 849 | 472,26,26,33,0.7,, 850 | 193,12,11,13,2.0,, 851 | 307,15,17,23,1.2,, 852 | 32,1,,7,1.3,, 853 | 73,,5,8,1.1,, 854 | 81,7,5,2,0.4,, 855 | 186,8,14,10,2.2,, 856 | 132,4,4,21,1.9,, 857 | 160,1,5,29,1.9,, 858 | 205,3,13,20,0.4,, 859 | 49,,1,11,0.5,, 860 | 34,1,1,6,1.1,, 861 | 58,1,3,7,1.2,, 862 | 156,2,11,14,1.0,, 863 | 202,2,8,31,2.1,, 864 | 211,3,14,23,1.9,, 865 | 230,3,15,21,1.6,, 866 | 19,,,4,0.2,, 867 | 19,,,4,0.2,, 868 | 35,1,,7,0.4,, 869 | 75,2,5,6,0.4,, 870 | 205,15,11,15,7.7,, 871 | 249,4,13,31,2.7,, 872 | 234,3,12,29,3.0,, 873 | 176,5,11,17,2.5,, 874 | 144,2,6,23,2.4,, 875 | 88,5,3,9,0.8,, 876 | 18,3,1,,0,, 877 | 180,12,5,21,1.5,, 878 | 41,5,1,1,0,, 879 | 185,13,6,18,4.1,, 880 | 79,4,3,10,0.8,, 881 | 58,2,1,9,0.3,, 882 | 135,19,3,7,0.9,, 883 | 105,9,2,13,2.1,, 884 | 175,13,5,20,0.9,, 885 | 142,8,4,20,3.0,, 886 | 157,10,5,18,1.6,, 887 | 189,8,10,16,0.3,, 888 | 202,6,13,16,0.5,, 889 | 137,2,9,10,0.5,, 890 | 134,6,5,17,0.8,, 891 | 155,6,5,24,1.3,, 892 | 62,5,2,7,0.8,, 893 | 204,10,6,28,1.9,, 894 | 193,12,5,27,5.1,, 895 | 134,5,3,22,6.1,, 896 | 83,5,2,13,0.8,, 897 | 29,1,1,5,0.8,, 898 | 162,3,8,20,6.2,, 899 | 195,12,4,28,4.1,, 900 | 190,13,2,31,3.8,, 901 | 56,2,1,10,0.5,, 902 | 90,2,2,18,1.2,, 903 | 90,2,2,19,0.5,, 904 | 129,4,4,20,1.3,, 905 | 49,3,1,8,1.4,, 906 | 83,6,2,11,0.7,, 907 | 76,2,2,13,0.5,, 908 | 180,4,12,15,1.4,, 909 | 18,0,0,5,0,, 910 | 21,,,5,0,, 911 | 29,1,2,2,0.2,, 912 | 154,2,3,31,0.5,, 913 | 289,3,14,38,0.6,, 914 | 132,3,6,17,1.2,, 915 | 246,3,11,35,0.5,, 916 | 7,0,,2,0.1,, 917 | 5,0,,2,,, 918 | 218,3,11,27,0.4,, 919 | 65,3,,14,0.9,, 920 | 245,3,9,42,1.0,, 921 | 203,4,14,14,0.5,, 922 | 110,1,,26,1.0,, 923 | 135,2,3,24,1.1,, 924 | 201,2,9,27,1.1,, 925 | 204,2,13,27,2.5,, 926 | 235,2,13,29,2.5,, 927 | 59,0,0,16,0,, 928 | 42,,,10,0.5,, 929 | 23,,,5,0.4,, 930 | 59,,2,13,0.3,, 931 | 116,3,3,20,1.2,, 932 | 124,3,4,18,0,, 933 | 63,1,,16,0.8,, 934 | 52,,,12,0.5,, 935 | 289,5,14,41,1.3,, 936 | 70,,2,13,0.3,, 937 | 84,,1,18,0,, 938 | 25,1,0,5,0,, 939 | 88,2,0,20,0,, 940 | 143,0,0,36,,, 941 | 24,0,,6,0,, 942 | 11,0,0,3,0,, 943 | 22,,0,6,,, 944 | 222,5,14,23,1.9,, 945 | 266,7,7,43,0.6,, 946 | 143,3,6,22,0.9,, 947 | 151,3,8,20,0.8,, 948 | 237,4,16,21,0.8,, 949 | 134,2,6,19,0.6,, 950 | 117,5,2,20,0,, 951 | 106,3,5,15,0.5,, 952 | 282,4,18,25,0,, 953 | 153,3,8,18,0.5,, 954 | 10,0,,2,0,, 955 | 56,,,14,0.2,, 956 | 56,,,15,0.2,, 957 | 105,0,,26,0.1,, 958 | 132,1,1,30,0,, 959 | 55,0,,14,0,, 960 | 50,,0,13,0.1,, 961 | 23,,,6,,, 962 | 209,2,11,26,1.0,, 963 | 268,4,15,30,1.7,, 964 | 62,0,,16,0,, 965 | 47,0,0,12,0.1,, 966 | 263,5,16,28,1.8,, 967 | 208,5,13,20,1.9,, 968 | 29,,,7,0.2,, 969 | 54,0,0,14,0,, 970 | 39,,1,7,0.4,, 971 | 181,4,12,18,2.8,, 972 | 113,1,2,24,2.6,, 973 | 43,,,10,0,, 974 | 575,13,20,89,1.9,, 975 | 203,2,11,23,2.0,, 976 | 4,,0,1,0,, 977 | 2,0,0,,0,, 978 | 67,,4,8,0,, 979 | 209,1,13,24,0.5,, 980 | 105,1,,27,0.4,, 981 | 110,,,29,0.3,, 982 | 16,0,0,4,0,, 983 | 2,,,,0.2,, 984 | 13,1,,3,1.0,, 985 | 27,1,2,3,1.0,, 986 | 60,4,,13,4.7,, 987 | 21,2,1,3,1.5,, 988 | 18,2,,3,1.6,, 989 | 33,3,,7,1.2,, 990 | 100,6,,18,4.0,, 991 | 14,1,,3,1.5,, 992 | 22,1,,5,1.9,, 993 | 78,1,,20,2.2,, 994 | 40,2,,9,1.8,, 995 | 28,1,,6,1.9,, 996 | 9,,,2,1.6,, 997 | 11,1,,2,0.9,, 998 | 29,2,,6,2.0,, 999 | 16,1,,3,1.1,, 1000 | 27,3,,5,2.3,, 1001 | 33,3,,6,3.2,, 1002 | 17,1,,4,1.3,, 1003 | 9,1,,2,0.7,, 1004 | 11,1,,3,0.8,, 1005 | 50,1,,12,1.0,, 1006 | 28,1,,7,1.4,, 1007 | 28,1,,6,1.9,, 1008 | 25,1,,6,1.5,, 1009 | 15,1,,3,1.8,, 1010 | 13,1,,3,0.9,, 1011 | 6,,,1,0.6,, 1012 | 44,1,2,8,1.0,, 1013 | 97,2,1,25,1.8,, 1014 | 88,3,1,22,2.3,, 1015 | 82,3,1,19,2.0,, 1016 | 3,,,1,0.2,, 1017 | 100,9,4,8,4.3,, 1018 | 18,,,5,1.3,, 1019 | 33,4,,6,0.9,, 1020 | 13,1,,2,1.3,, 1021 | 18,2,,3,1.6,, 1022 | 19,1,,4,1.4,, 1023 | 17,,,4,0.5,, 1024 | 8,1,,1,0.6,, 1025 | 8,1,,2,0.7,, 1026 | 9,1,,2,0.8,, 1027 | 10,1,,2,1.2,, 1028 | 12,1,,2,1.1,, 1029 | 21,2,,4,2.3,, 1030 | 30,4,1,4,1.9,, 1031 | 12,2,,2,0.6,, 1032 | 27,2,,4,2.1,, 1033 | 15,2,,2,1.0,, 1034 | 5,,,1,0.4,, 1035 | 17,,,4,0.6,, 1036 | 61,,5,4,0.8,, 1037 | 59,1,,14,2.7,, 1038 | 62,4,,11,4.0,, 1039 | 66,4,,12,3.7,, 1040 | 36,3,,6,2.4,, 1041 | 14,1,,3,0.6,, 1042 | 4,,,1,0.4,, 1043 | 16,1,,4,1.2,, 1044 | 95,1,9,3,1.3,, 1045 | 15,1,,4,0.8,, 1046 | 99,1,9,5,1.3,, 1047 | 25,1,,6,0.8,, 1048 | 36,1,2,5,0.6,, 1049 | 205,4,15,14,1.4,, 1050 | 145,3,,34,3.4,, 1051 | 161,4,,37,3.8,, 1052 | 116,2,,27,1.9,, 1053 | 129,3,,30,2.5,, 1054 | 84,2,,19,1.3,, 1055 | 212,5,,49,5.1,, 1056 | 156,3,,36,3.4,, 1057 | 96,2,4,15,1.6,, 1058 | 180,3,9,23,1.8,, 1059 | 107,3,4,15,1.1,, 1060 | 116,2,4,19,2.2,, 1061 | 120,3,5,16,1.0,, 1062 | 111,4,5,14,2.5,, 1063 | 44,1,,10,3.8,, 1064 | 5,,,1,0.2,, 1065 | 2,,,,0.2,, 1066 | 35,1,,8,1.6,, 1067 | 14,1,,3,1.9,, 1068 | 8,1,,1,0.1,, 1069 | 22,3,,4,2.3,, 1070 | 7,1,,1,0.7,, 1071 | 61,1,,16,2.1,, 1072 | 43,1,,11,1.8,, 1073 | 22,1,,5,0.9,, 1074 | 51,1,,12,1.9,, 1075 | 57,1,,13,1.9,, 1076 | 18,2,,4,1.9,, 1077 | 61,1,,14,0.5,, 1078 | 22,1,,5,0.9,, 1079 | 31,1,,8,0.7,, 1080 | 143,2,6,21,1.9,, 1081 | 41,2,,10,1.9,, 1082 | 35,1,,8,1.4,, 1083 | 22,1,,5,1.0,, 1084 | 22,1,,5,1.5,, 1085 | 5,,,1,0.2,, 1086 | 6,,,1,0.2,, 1087 | 18,1,,4,1.6,, 1088 | 24,1,,6,0.7,, 1089 | 28,1,,6,1.0,, 1090 | 29,1,,6,1.8,, 1091 | 22,2,,4,2.4,, 1092 | 63,3,,13,2.8,, 1093 | 51,3,,11,2.7,, 1094 | 6,,,1,0.4,, 1095 | 15,1,,4,1.3,, 1096 | -------------------------------------------------------------------------------- /hr-schema-mysql.sql: -------------------------------------------------------------------------------- 1 | /** 2 | * You can copy, modify, distribute and perform the work, even for commercial purposes, 3 | * all without asking permission. 4 | * 5 | * @Author: Andrei N. CIOBANU 6 | */ 7 | 8 | DROP SCHEMA 9 | 10 | IF EXISTS hr; 11 | CREATE SCHEMA hr COLLATE = utf8_general_ci; 12 | 13 | USE hr; 14 | 15 | /* *************************************************************** 16 | ***************************CREATING TABLES************************ 17 | **************************************************************** */ 18 | CREATE TABLE regions ( 19 | region_id INT (11) UNSIGNED NOT NULL, 20 | region_name VARCHAR(25), 21 | PRIMARY KEY (region_id) 22 | ); 23 | 24 | CREATE TABLE countries ( 25 | country_id CHAR(2) NOT NULL, 26 | country_name VARCHAR(40), 27 | region_id INT (11) UNSIGNED NOT NULL, 28 | PRIMARY KEY (country_id) 29 | ); 30 | 31 | 32 | CREATE TABLE locations ( 33 | location_id INT (11) UNSIGNED NOT NULL AUTO_INCREMENT, 34 | street_address VARCHAR(40), 35 | postal_code VARCHAR(12), 36 | city VARCHAR(30) NOT NULL, 37 | state_province VARCHAR(25), 38 | country_id CHAR(2) NOT NULL, 39 | PRIMARY KEY (location_id) 40 | ); 41 | 42 | CREATE TABLE departments ( 43 | department_id INT (11) UNSIGNED NOT NULL, 44 | department_name VARCHAR(30) NOT NULL, 45 | manager_id INT (11) UNSIGNED, 46 | location_id INT (11) UNSIGNED, 47 | PRIMARY KEY (department_id) 48 | ); 49 | 50 | CREATE TABLE jobs ( 51 | job_id VARCHAR(10) NOT NULL, 52 | job_title VARCHAR(35) NOT NULL, 53 | min_salary DECIMAL(8, 0) UNSIGNED, 54 | max_salary DECIMAL(8, 0) UNSIGNED, 55 | PRIMARY KEY (job_id) 56 | ); 57 | 58 | CREATE TABLE employees ( 59 | employee_id INT (11) UNSIGNED NOT NULL, 60 | first_name VARCHAR(20), 61 | last_name VARCHAR(25) NOT NULL, 62 | email VARCHAR(25) NOT NULL, 63 | phone_number VARCHAR(20), 64 | hire_date DATE NOT NULL, 65 | job_id VARCHAR(10) NOT NULL, 66 | salary DECIMAL(8, 2) NOT NULL, 67 | commission_pct DECIMAL(2, 2), 68 | manager_id INT (11) UNSIGNED, 69 | department_id INT (11) UNSIGNED, 70 | PRIMARY KEY (employee_id) 71 | ); 72 | 73 | CREATE TABLE job_history ( 74 | employee_id INT (11) UNSIGNED NOT NULL, 75 | start_date DATE NOT NULL, 76 | end_date DATE NOT NULL, 77 | job_id VARCHAR(10) NOT NULL, 78 | department_id INT (11) UNSIGNED NOT NULL 79 | ); 80 | 81 | ALTER TABLE job_history ADD UNIQUE INDEX ( 82 | employee_id, 83 | start_date 84 | ); 85 | 86 | 87 | CREATE VIEW emp_details_view 88 | AS 89 | SELECT e.employee_id, 90 | e.job_id, 91 | e.manager_id, 92 | e.department_id, 93 | d.location_id, 94 | l.country_id, 95 | e.first_name, 96 | e.last_name, 97 | e.salary, 98 | e.commission_pct, 99 | d.department_name, 100 | j.job_title, 101 | l.city, 102 | l.state_province, 103 | c.country_name, 104 | r.region_name 105 | FROM employees e, 106 | departments d, 107 | jobs j, 108 | locations l, 109 | countries c, 110 | regions r 111 | WHERE e.department_id = d.department_id 112 | AND d.location_id = l.location_id 113 | AND l.country_id = c.country_id 114 | AND c.region_id = r.region_id 115 | AND j.job_id = e.job_id; 116 | 117 | /* *************************************************************** 118 | ***************************INSERTING DATA************************* 119 | **************************************************************** */ 120 | INSERT INTO regions 121 | VALUES ( 122 | 1, 123 | 'Europe' 124 | ); 125 | 126 | INSERT INTO regions 127 | VALUES ( 128 | 2, 129 | 'Americas' 130 | ); 131 | 132 | INSERT INTO regions 133 | VALUES ( 134 | 3, 135 | 'Asia' 136 | ); 137 | 138 | INSERT INTO regions 139 | VALUES ( 140 | 4, 141 | 'Middle East and Africa' 142 | ); 143 | 144 | COMMIT; 145 | 146 | INSERT INTO countries 147 | VALUES ( 148 | 'IT', 149 | 'Italy', 150 | 1 151 | ); 152 | 153 | INSERT INTO countries 154 | VALUES ( 155 | 'JP', 156 | 'Japan', 157 | 3 158 | ); 159 | 160 | INSERT INTO countries 161 | VALUES ( 162 | 'US', 163 | 'United States of America', 164 | 2 165 | ); 166 | 167 | INSERT INTO countries 168 | VALUES ( 169 | 'CA', 170 | 'Canada', 171 | 2 172 | ); 173 | 174 | INSERT INTO countries 175 | VALUES ( 176 | 'CN', 177 | 'China', 178 | 3 179 | ); 180 | 181 | INSERT INTO countries 182 | VALUES ( 183 | 'IN', 184 | 'India', 185 | 3 186 | ); 187 | 188 | INSERT INTO countries 189 | VALUES ( 190 | 'AU', 191 | 'Australia', 192 | 3 193 | ); 194 | 195 | INSERT INTO countries 196 | VALUES ( 197 | 'ZW', 198 | 'Zimbabwe', 199 | 4 200 | ); 201 | 202 | INSERT INTO countries 203 | VALUES ( 204 | 'SG', 205 | 'Singapore', 206 | 3 207 | ); 208 | 209 | INSERT INTO countries 210 | VALUES ( 211 | 'UK', 212 | 'United Kingdom', 213 | 1 214 | ); 215 | 216 | INSERT INTO countries 217 | VALUES ( 218 | 'FR', 219 | 'France', 220 | 1 221 | ); 222 | 223 | INSERT INTO countries 224 | VALUES ( 225 | 'DE', 226 | 'Germany', 227 | 1 228 | ); 229 | 230 | INSERT INTO countries 231 | VALUES ( 232 | 'ZM', 233 | 'Zambia', 234 | 4 235 | ); 236 | 237 | INSERT INTO countries 238 | VALUES ( 239 | 'EG', 240 | 'Egypt', 241 | 4 242 | ); 243 | 244 | INSERT INTO countries 245 | VALUES ( 246 | 'BR', 247 | 'Brazil', 248 | 2 249 | ); 250 | 251 | INSERT INTO countries 252 | VALUES ( 253 | 'CH', 254 | 'Switzerland', 255 | 1 256 | ); 257 | 258 | INSERT INTO countries 259 | VALUES ( 260 | 'NL', 261 | 'Netherlands', 262 | 1 263 | ); 264 | 265 | INSERT INTO countries 266 | VALUES ( 267 | 'MX', 268 | 'Mexico', 269 | 2 270 | ); 271 | 272 | INSERT INTO countries 273 | VALUES ( 274 | 'KW', 275 | 'Kuwait', 276 | 4 277 | ); 278 | 279 | INSERT INTO countries 280 | VALUES ( 281 | 'IL', 282 | 'Israel', 283 | 4 284 | ); 285 | 286 | INSERT INTO countries 287 | VALUES ( 288 | 'DK', 289 | 'Denmark', 290 | 1 291 | ); 292 | 293 | INSERT INTO countries 294 | VALUES ( 295 | 'HK', 296 | 'HongKong', 297 | 3 298 | ); 299 | 300 | INSERT INTO countries 301 | VALUES ( 302 | 'NG', 303 | 'Nigeria', 304 | 4 305 | ); 306 | 307 | INSERT INTO countries 308 | VALUES ( 309 | 'AR', 310 | 'Argentina', 311 | 2 312 | ); 313 | 314 | INSERT INTO countries 315 | VALUES ( 316 | 'BE', 317 | 'Belgium', 318 | 1 319 | ); 320 | 321 | COMMIT; 322 | 323 | INSERT INTO locations 324 | VALUES ( 325 | 1000, 326 | '1297 Via Cola di Rie', 327 | '00989', 328 | 'Roma', 329 | NULL, 330 | 'IT' 331 | ); 332 | 333 | INSERT INTO locations 334 | VALUES ( 335 | 1100, 336 | '93091 Calle della Testa', 337 | '10934', 338 | 'Venice', 339 | NULL, 340 | 'IT' 341 | ); 342 | 343 | INSERT INTO locations 344 | VALUES ( 345 | 1200, 346 | '2017 Shinjuku-ku', 347 | '1689', 348 | 'Tokyo', 349 | 'Tokyo Prefecture', 350 | 'JP' 351 | ); 352 | 353 | INSERT INTO locations 354 | VALUES ( 355 | 1300, 356 | '9450 Kamiya-cho', 357 | '6823', 358 | 'Hiroshima', 359 | NULL, 360 | 'JP' 361 | ); 362 | 363 | INSERT INTO locations 364 | VALUES ( 365 | 1400, 366 | '2014 Jabberwocky Rd', 367 | '26192', 368 | 'Southlake', 369 | 'Texas', 370 | 'US' 371 | ); 372 | 373 | INSERT INTO locations 374 | VALUES ( 375 | 1500, 376 | '2011 Interiors Blvd', 377 | '99236', 378 | 'South San Francisco', 379 | 'California', 380 | 'US' 381 | ); 382 | 383 | INSERT INTO locations 384 | VALUES ( 385 | 1600, 386 | '2007 Zagora St', 387 | '50090', 388 | 'South Brunswick', 389 | 'New Jersey', 390 | 'US' 391 | ); 392 | 393 | INSERT INTO locations 394 | VALUES ( 395 | 1700, 396 | '2004 Charade Rd', 397 | '98199', 398 | 'Seattle', 399 | 'Washington', 400 | 'US' 401 | ); 402 | 403 | INSERT INTO locations 404 | VALUES ( 405 | 1800, 406 | '147 Spadina Ave', 407 | 'M5V 2L7', 408 | 'Toronto', 409 | 'Ontario', 410 | 'CA' 411 | ); 412 | 413 | INSERT INTO locations 414 | VALUES ( 415 | 1900, 416 | '6092 Boxwood St', 417 | 'YSW 9T2', 418 | 'Whitehorse', 419 | 'Yukon', 420 | 'CA' 421 | ); 422 | 423 | INSERT INTO locations 424 | VALUES ( 425 | 2000, 426 | '40-5-12 Laogianggen', 427 | '190518', 428 | 'Beijing', 429 | NULL, 430 | 'CN' 431 | ); 432 | 433 | INSERT INTO locations 434 | VALUES ( 435 | 2100, 436 | '1298 Vileparle (E)', 437 | '490231', 438 | 'Bombay', 439 | 'Maharashtra', 440 | 'IN' 441 | ); 442 | 443 | INSERT INTO locations 444 | VALUES ( 445 | 2200, 446 | '12-98 Victoria Street', 447 | '2901', 448 | 'Sydney', 449 | 'New South Wales', 450 | 'AU' 451 | ); 452 | 453 | INSERT INTO locations 454 | VALUES ( 455 | 2300, 456 | '198 Clementi North', 457 | '540198', 458 | 'Singapore', 459 | NULL, 460 | 'SG' 461 | ); 462 | 463 | INSERT INTO locations 464 | VALUES ( 465 | 2400, 466 | '8204 Arthur St', 467 | NULL, 468 | 'London', 469 | NULL, 470 | 'UK' 471 | ); 472 | 473 | INSERT INTO locations 474 | VALUES ( 475 | 2500, 476 | 'Magdalen Centre, The Oxford Science Park', 477 | 'OX9 9ZB', 478 | 'Oxford', 479 | 'Oxford', 480 | 'UK' 481 | ); 482 | 483 | INSERT INTO locations 484 | VALUES ( 485 | 2600, 486 | '9702 Chester Road', 487 | '09629850293', 488 | 'Stretford', 489 | 'Manchester', 490 | 'UK' 491 | ); 492 | 493 | INSERT INTO locations 494 | VALUES ( 495 | 2700, 496 | 'Schwanthalerstr. 7031', 497 | '80925', 498 | 'Munich', 499 | 'Bavaria', 500 | 'DE' 501 | ); 502 | 503 | INSERT INTO locations 504 | VALUES ( 505 | 2800, 506 | 'Rua Frei Caneca 1360 ', 507 | '01307-002', 508 | 'Sao Paulo', 509 | 'Sao Paulo', 510 | 'BR' 511 | ); 512 | 513 | INSERT INTO locations 514 | VALUES ( 515 | 2900, 516 | '20 Rue des Corps-Saints', 517 | '1730', 518 | 'Geneva', 519 | 'Geneve', 520 | 'CH' 521 | ); 522 | 523 | INSERT INTO locations 524 | VALUES ( 525 | 3000, 526 | 'Murtenstrasse 921', 527 | '3095', 528 | 'Bern', 529 | 'BE', 530 | 'CH' 531 | ); 532 | 533 | INSERT INTO locations 534 | VALUES ( 535 | 3100, 536 | 'Pieter Breughelstraat 837', 537 | '3029SK', 538 | 'Utrecht', 539 | 'Utrecht', 540 | 'NL' 541 | ); 542 | 543 | INSERT INTO locations 544 | VALUES ( 545 | 3200, 546 | 'Mariano Escobedo 9991', 547 | '11932', 548 | 'Mexico City', 549 | 'Distrito Federal,', 550 | 'MX' 551 | ); 552 | 553 | COMMIT; 554 | 555 | SET FOREIGN_KEY_CHECKS = 0; 556 | 557 | INSERT INTO departments 558 | VALUES ( 559 | 10, 560 | 'Administration', 561 | 200, 562 | 1700 563 | ); 564 | 565 | INSERT INTO departments 566 | VALUES ( 567 | 20, 568 | 'Marketing', 569 | 201, 570 | 1800 571 | ); 572 | 573 | INSERT INTO departments 574 | VALUES ( 575 | 30, 576 | 'Purchasing', 577 | 114, 578 | 1700 579 | ); 580 | 581 | INSERT INTO departments 582 | VALUES ( 583 | 40, 584 | 'Human Resources', 585 | 203, 586 | 2400 587 | ); 588 | 589 | INSERT INTO departments 590 | VALUES ( 591 | 50, 592 | 'Shipping', 593 | 121, 594 | 1500 595 | ); 596 | 597 | INSERT INTO departments 598 | VALUES ( 599 | 60, 600 | 'IT', 601 | 103, 602 | 1400 603 | ); 604 | 605 | INSERT INTO departments 606 | VALUES ( 607 | 70, 608 | 'Public Relations', 609 | 204, 610 | 2700 611 | ); 612 | 613 | INSERT INTO departments 614 | VALUES ( 615 | 80, 616 | 'Sales', 617 | 145, 618 | 2500 619 | ); 620 | 621 | INSERT INTO departments 622 | VALUES ( 623 | 90, 624 | 'Executive', 625 | 100, 626 | 1700 627 | ); 628 | 629 | INSERT INTO departments 630 | VALUES ( 631 | 100, 632 | 'Finance', 633 | 108, 634 | 1700 635 | ); 636 | 637 | INSERT INTO departments 638 | VALUES ( 639 | 110, 640 | 'Accounting', 641 | 205, 642 | 1700 643 | ); 644 | 645 | INSERT INTO departments 646 | VALUES ( 647 | 120, 648 | 'Treasury', 649 | NULL, 650 | 1700 651 | ); 652 | 653 | INSERT INTO departments 654 | VALUES ( 655 | 130, 656 | 'Corporate Tax', 657 | NULL, 658 | 1700 659 | ); 660 | 661 | INSERT INTO departments 662 | VALUES ( 663 | 140, 664 | 'Control And Credit', 665 | NULL, 666 | 1700 667 | ); 668 | 669 | INSERT INTO departments 670 | VALUES ( 671 | 150, 672 | 'Shareholder Services', 673 | NULL, 674 | 1700 675 | ); 676 | 677 | INSERT INTO departments 678 | VALUES ( 679 | 160, 680 | 'Benefits', 681 | NULL, 682 | 1700 683 | ); 684 | 685 | INSERT INTO departments 686 | VALUES ( 687 | 170, 688 | 'Manufacturing', 689 | NULL, 690 | 1700 691 | ); 692 | 693 | INSERT INTO departments 694 | VALUES ( 695 | 180, 696 | 'Construction', 697 | NULL, 698 | 1700 699 | ); 700 | 701 | INSERT INTO departments 702 | VALUES ( 703 | 190, 704 | 'Contracting', 705 | NULL, 706 | 1700 707 | ); 708 | 709 | INSERT INTO departments 710 | VALUES ( 711 | 200, 712 | 'Operations', 713 | NULL, 714 | 1700 715 | ); 716 | 717 | INSERT INTO departments 718 | VALUES ( 719 | 210, 720 | 'IT Support', 721 | NULL, 722 | 1700 723 | ); 724 | 725 | INSERT INTO departments 726 | VALUES ( 727 | 220, 728 | 'NOC', 729 | NULL, 730 | 1700 731 | ); 732 | 733 | INSERT INTO departments 734 | VALUES ( 735 | 230, 736 | 'IT Helpdesk', 737 | NULL, 738 | 1700 739 | ); 740 | 741 | INSERT INTO departments 742 | VALUES ( 743 | 240, 744 | 'Government Sales', 745 | NULL, 746 | 1700 747 | ); 748 | 749 | INSERT INTO departments 750 | VALUES ( 751 | 250, 752 | 'Retail Sales', 753 | NULL, 754 | 1700 755 | ); 756 | 757 | INSERT INTO departments 758 | VALUES ( 759 | 260, 760 | 'Recruiting', 761 | NULL, 762 | 1700 763 | ); 764 | 765 | INSERT INTO departments 766 | VALUES ( 767 | 270, 768 | 'Payroll', 769 | NULL, 770 | 1700 771 | ); 772 | 773 | SET FOREIGN_KEY_CHECKS = 1; 774 | 775 | COMMIT; 776 | 777 | INSERT INTO jobs 778 | VALUES ( 779 | 'AD_PRES', 780 | 'President', 781 | 20000, 782 | 40000 783 | ); 784 | 785 | INSERT INTO jobs 786 | VALUES ( 787 | 'AD_VP', 788 | 'Administration Vice President', 789 | 15000, 790 | 30000 791 | ); 792 | 793 | INSERT INTO jobs 794 | VALUES ( 795 | 'AD_ASST', 796 | 'Administration Assistant', 797 | 3000, 798 | 6000 799 | ); 800 | 801 | INSERT INTO jobs 802 | VALUES ( 803 | 'FI_MGR', 804 | 'Finance Manager', 805 | 8200, 806 | 16000 807 | ); 808 | 809 | INSERT INTO jobs 810 | VALUES ( 811 | 'FI_ACCOUNT', 812 | 'Accountant', 813 | 4200, 814 | 9000 815 | ); 816 | 817 | INSERT INTO jobs 818 | VALUES ( 819 | 'AC_MGR', 820 | 'Accounting Manager', 821 | 8200, 822 | 16000 823 | ); 824 | 825 | INSERT INTO jobs 826 | VALUES ( 827 | 'AC_ACCOUNT', 828 | 'Public Accountant', 829 | 4200, 830 | 9000 831 | ); 832 | 833 | INSERT INTO jobs 834 | VALUES ( 835 | 'SA_MAN', 836 | 'Sales Manager', 837 | 10000, 838 | 20000 839 | ); 840 | 841 | INSERT INTO jobs 842 | VALUES ( 843 | 'SA_REP', 844 | 'Sales Representative', 845 | 6000, 846 | 12000 847 | ); 848 | 849 | INSERT INTO jobs 850 | VALUES ( 851 | 'PU_MAN', 852 | 'Purchasing Manager', 853 | 8000, 854 | 15000 855 | ); 856 | 857 | INSERT INTO jobs 858 | VALUES ( 859 | 'PU_CLERK', 860 | 'Purchasing Clerk', 861 | 2500, 862 | 5500 863 | ); 864 | 865 | INSERT INTO jobs 866 | VALUES ( 867 | 'ST_MAN', 868 | 'Stock Manager', 869 | 5500, 870 | 8500 871 | ); 872 | 873 | INSERT INTO jobs 874 | VALUES ( 875 | 'ST_CLERK', 876 | 'Stock Clerk', 877 | 2000, 878 | 5000 879 | ); 880 | 881 | INSERT INTO jobs 882 | VALUES ( 883 | 'SH_CLERK', 884 | 'Shipping Clerk', 885 | 2500, 886 | 5500 887 | ); 888 | 889 | INSERT INTO jobs 890 | VALUES ( 891 | 'IT_PROG', 892 | 'Programmer', 893 | 4000, 894 | 10000 895 | ); 896 | 897 | INSERT INTO jobs 898 | VALUES ( 899 | 'MK_MAN', 900 | 'Marketing Manager', 901 | 9000, 902 | 15000 903 | ); 904 | 905 | INSERT INTO jobs 906 | VALUES ( 907 | 'MK_REP', 908 | 'Marketing Representative', 909 | 4000, 910 | 9000 911 | ); 912 | 913 | INSERT INTO jobs 914 | VALUES ( 915 | 'HR_REP', 916 | 'Human Resources Representative', 917 | 4000, 918 | 9000 919 | ); 920 | 921 | INSERT INTO jobs 922 | VALUES ( 923 | 'PR_REP', 924 | 'Public Relations Representative', 925 | 4500, 926 | 10500 927 | ); 928 | 929 | COMMIT; 930 | 931 | INSERT INTO employees 932 | VALUES ( 933 | 100, 934 | 'Steven', 935 | 'King', 936 | 'SKING', 937 | '515.123.4567', 938 | STR_TO_DATE('17-JUN-1987', '%d-%M-%Y'), 939 | 'AD_PRES', 940 | 24000, 941 | NULL, 942 | NULL, 943 | 90 944 | ); 945 | 946 | INSERT INTO employees 947 | VALUES ( 948 | 101, 949 | 'Neena', 950 | 'Kochhar', 951 | 'NKOCHHAR', 952 | '515.123.4568', 953 | STR_TO_DATE('21-SEP-1989', '%d-%M-%Y'), 954 | 'AD_VP', 955 | 17000, 956 | NULL, 957 | 100, 958 | 90 959 | ); 960 | 961 | INSERT INTO employees 962 | VALUES ( 963 | 102, 964 | 'Lex', 965 | 'De Haan', 966 | 'LDEHAAN', 967 | '515.123.4569', 968 | STR_TO_DATE('13-JAN-1993', '%d-%M-%Y'), 969 | 'AD_VP', 970 | 17000, 971 | NULL, 972 | 100, 973 | 90 974 | ); 975 | 976 | INSERT INTO employees 977 | VALUES ( 978 | 103, 979 | 'Alexander', 980 | 'Hunold', 981 | 'AHUNOLD', 982 | '590.423.4567', 983 | STR_TO_DATE('03-JAN-1990', '%d-%M-%Y'), 984 | 'IT_PROG', 985 | 9000, 986 | NULL, 987 | 102, 988 | 60 989 | ); 990 | 991 | INSERT INTO employees 992 | VALUES ( 993 | 104, 994 | 'Bruce', 995 | 'Ernst', 996 | 'BERNST', 997 | '590.423.4568', 998 | STR_TO_DATE('21-MAY-1991', '%d-%M-%Y'), 999 | 'IT_PROG', 1000 | 6000, 1001 | NULL, 1002 | 103, 1003 | 60 1004 | ); 1005 | 1006 | INSERT INTO employees 1007 | VALUES ( 1008 | 105, 1009 | 'David', 1010 | 'Austin', 1011 | 'DAUSTIN', 1012 | '590.423.4569', 1013 | STR_TO_DATE('25-JUN-1997', '%d-%M-%Y'), 1014 | 'IT_PROG', 1015 | 4800, 1016 | NULL, 1017 | 103, 1018 | 60 1019 | ); 1020 | 1021 | INSERT INTO employees 1022 | VALUES ( 1023 | 106, 1024 | 'Valli', 1025 | 'Pataballa', 1026 | 'VPATABAL', 1027 | '590.423.4560', 1028 | STR_TO_DATE('05-FEB-1998', '%d-%M-%Y'), 1029 | 'IT_PROG', 1030 | 4800, 1031 | NULL, 1032 | 103, 1033 | 60 1034 | ); 1035 | 1036 | INSERT INTO employees 1037 | VALUES ( 1038 | 107, 1039 | 'Diana', 1040 | 'Lorentz', 1041 | 'DLORENTZ', 1042 | '590.423.5567', 1043 | STR_TO_DATE('07-FEB-1999', '%d-%M-%Y'), 1044 | 'IT_PROG', 1045 | 4200, 1046 | NULL, 1047 | 103, 1048 | 60 1049 | ); 1050 | 1051 | INSERT INTO employees 1052 | VALUES ( 1053 | 108, 1054 | 'Nancy', 1055 | 'Greenberg', 1056 | 'NGREENBE', 1057 | '515.124.4569', 1058 | STR_TO_DATE('17-AUG-1994', '%d-%M-%Y'), 1059 | 'FI_MGR', 1060 | 12000, 1061 | NULL, 1062 | 101, 1063 | 100 1064 | ); 1065 | 1066 | INSERT INTO employees 1067 | VALUES ( 1068 | 109, 1069 | 'Daniel', 1070 | 'Faviet', 1071 | 'DFAVIET', 1072 | '515.124.4169', 1073 | STR_TO_DATE('16-AUG-1994', '%d-%M-%Y'), 1074 | 'FI_ACCOUNT', 1075 | 9000, 1076 | NULL, 1077 | 108, 1078 | 100 1079 | ); 1080 | 1081 | INSERT INTO employees 1082 | VALUES ( 1083 | 110, 1084 | 'John', 1085 | 'Chen', 1086 | 'JCHEN', 1087 | '515.124.4269', 1088 | STR_TO_DATE('28-SEP-1997', '%d-%M-%Y'), 1089 | 'FI_ACCOUNT', 1090 | 8200, 1091 | NULL, 1092 | 108, 1093 | 100 1094 | ); 1095 | 1096 | INSERT INTO employees 1097 | VALUES ( 1098 | 111, 1099 | 'Ismael', 1100 | 'Sciarra', 1101 | 'ISCIARRA', 1102 | '515.124.4369', 1103 | STR_TO_DATE('30-SEP-1997', '%d-%M-%Y'), 1104 | 'FI_ACCOUNT', 1105 | 7700, 1106 | NULL, 1107 | 108, 1108 | 100 1109 | ); 1110 | 1111 | INSERT INTO employees 1112 | VALUES ( 1113 | 112, 1114 | 'Jose Manuel', 1115 | 'Urman', 1116 | 'JMURMAN', 1117 | '515.124.4469', 1118 | STR_TO_DATE('07-MAR-1998', '%d-%M-%Y'), 1119 | 'FI_ACCOUNT', 1120 | 7800, 1121 | NULL, 1122 | 108, 1123 | 100 1124 | ); 1125 | 1126 | INSERT INTO employees 1127 | VALUES ( 1128 | 113, 1129 | 'Luis', 1130 | 'Popp', 1131 | 'LPOPP', 1132 | '515.124.4567', 1133 | STR_TO_DATE('07-DEC-1999', '%d-%M-%Y'), 1134 | 'FI_ACCOUNT', 1135 | 6900, 1136 | NULL, 1137 | 108, 1138 | 100 1139 | ); 1140 | 1141 | INSERT INTO employees 1142 | VALUES ( 1143 | 114, 1144 | 'Den', 1145 | 'Raphaely', 1146 | 'DRAPHEAL', 1147 | '515.127.4561', 1148 | STR_TO_DATE('07-DEC-1994', '%d-%M-%Y'), 1149 | 'PU_MAN', 1150 | 11000, 1151 | NULL, 1152 | 100, 1153 | 30 1154 | ); 1155 | 1156 | INSERT INTO employees 1157 | VALUES ( 1158 | 115, 1159 | 'Alexander', 1160 | 'Khoo', 1161 | 'AKHOO', 1162 | '515.127.4562', 1163 | STR_TO_DATE('18-MAY-1995', '%d-%M-%Y'), 1164 | 'PU_CLERK', 1165 | 3100, 1166 | NULL, 1167 | 114, 1168 | 30 1169 | ); 1170 | 1171 | INSERT INTO employees 1172 | VALUES ( 1173 | 116, 1174 | 'Shelli', 1175 | 'Baida', 1176 | 'SBAIDA', 1177 | '515.127.4563', 1178 | STR_TO_DATE('24-DEC-1997', '%d-%M-%Y'), 1179 | 'PU_CLERK', 1180 | 2900, 1181 | NULL, 1182 | 114, 1183 | 30 1184 | ); 1185 | 1186 | INSERT INTO employees 1187 | VALUES ( 1188 | 117, 1189 | 'Sigal', 1190 | 'Tobias', 1191 | 'STOBIAS', 1192 | '515.127.4564', 1193 | STR_TO_DATE('24-JUL-1997', '%d-%M-%Y'), 1194 | 'PU_CLERK', 1195 | 2800, 1196 | NULL, 1197 | 114, 1198 | 30 1199 | ); 1200 | 1201 | INSERT INTO employees 1202 | VALUES ( 1203 | 118, 1204 | 'Guy', 1205 | 'Himuro', 1206 | 'GHIMURO', 1207 | '515.127.4565', 1208 | STR_TO_DATE('15-NOV-1998', '%d-%M-%Y'), 1209 | 'PU_CLERK', 1210 | 2600, 1211 | NULL, 1212 | 114, 1213 | 30 1214 | ); 1215 | 1216 | INSERT INTO employees 1217 | VALUES ( 1218 | 119, 1219 | 'Karen', 1220 | 'Colmenares', 1221 | 'KCOLMENA', 1222 | '515.127.4566', 1223 | STR_TO_DATE('10-AUG-1999', '%d-%M-%Y'), 1224 | 'PU_CLERK', 1225 | 2500, 1226 | NULL, 1227 | 114, 1228 | 30 1229 | ); 1230 | 1231 | INSERT INTO employees 1232 | VALUES ( 1233 | 120, 1234 | 'Matthew', 1235 | 'Weiss', 1236 | 'MWEISS', 1237 | '650.123.1234', 1238 | STR_TO_DATE('18-JUL-1996', '%d-%M-%Y'), 1239 | 'ST_MAN', 1240 | 8000, 1241 | NULL, 1242 | 100, 1243 | 50 1244 | ); 1245 | 1246 | INSERT INTO employees 1247 | VALUES ( 1248 | 121, 1249 | 'Adam', 1250 | 'Fripp', 1251 | 'AFRIPP', 1252 | '650.123.2234', 1253 | STR_TO_DATE('10-APR-1997', '%d-%M-%Y'), 1254 | 'ST_MAN', 1255 | 8200, 1256 | NULL, 1257 | 100, 1258 | 50 1259 | ); 1260 | 1261 | INSERT INTO employees 1262 | VALUES ( 1263 | 122, 1264 | 'Payam', 1265 | 'Kaufling', 1266 | 'PKAUFLIN', 1267 | '650.123.3234', 1268 | STR_TO_DATE('01-MAY-1995', '%d-%M-%Y'), 1269 | 'ST_MAN', 1270 | 7900, 1271 | NULL, 1272 | 100, 1273 | 50 1274 | ); 1275 | 1276 | INSERT INTO employees 1277 | VALUES ( 1278 | 123, 1279 | 'Shanta', 1280 | 'Vollman', 1281 | 'SVOLLMAN', 1282 | '650.123.4234', 1283 | STR_TO_DATE('10-OCT-1997', '%d-%M-%Y'), 1284 | 'ST_MAN', 1285 | 6500, 1286 | NULL, 1287 | 100, 1288 | 50 1289 | ); 1290 | 1291 | INSERT INTO employees 1292 | VALUES ( 1293 | 124, 1294 | 'Kevin', 1295 | 'Mourgos', 1296 | 'KMOURGOS', 1297 | '650.123.5234', 1298 | STR_TO_DATE('16-NOV-1999', '%d-%M-%Y'), 1299 | 'ST_MAN', 1300 | 5800, 1301 | NULL, 1302 | 100, 1303 | 50 1304 | ); 1305 | 1306 | INSERT INTO employees 1307 | VALUES ( 1308 | 125, 1309 | 'Julia', 1310 | 'Nayer', 1311 | 'JNAYER', 1312 | '650.124.1214', 1313 | STR_TO_DATE('16-JUL-1997', '%d-%M-%Y'), 1314 | 'ST_CLERK', 1315 | 3200, 1316 | NULL, 1317 | 120, 1318 | 50 1319 | ); 1320 | 1321 | INSERT INTO employees 1322 | VALUES ( 1323 | 126, 1324 | 'Irene', 1325 | 'Mikkilineni', 1326 | 'IMIKKILI', 1327 | '650.124.1224', 1328 | STR_TO_DATE('28-SEP-1998', '%d-%M-%Y'), 1329 | 'ST_CLERK', 1330 | 2700, 1331 | NULL, 1332 | 120, 1333 | 50 1334 | ); 1335 | 1336 | INSERT INTO employees 1337 | VALUES ( 1338 | 127, 1339 | 'James', 1340 | 'Landry', 1341 | 'JLANDRY', 1342 | '650.124.1334', 1343 | STR_TO_DATE('14-JAN-1999', '%d-%M-%Y'), 1344 | 'ST_CLERK', 1345 | 2400, 1346 | NULL, 1347 | 120, 1348 | 50 1349 | ); 1350 | 1351 | INSERT INTO employees 1352 | VALUES ( 1353 | 128, 1354 | 'Steven', 1355 | 'Markle', 1356 | 'SMARKLE', 1357 | '650.124.1434', 1358 | STR_TO_DATE('08-MAR-2000', '%d-%M-%Y'), 1359 | 'ST_CLERK', 1360 | 2200, 1361 | NULL, 1362 | 120, 1363 | 50 1364 | ); 1365 | 1366 | INSERT INTO employees 1367 | VALUES ( 1368 | 129, 1369 | 'Laura', 1370 | 'Bissot', 1371 | 'LBISSOT', 1372 | '650.124.5234', 1373 | STR_TO_DATE('20-AUG-1997', '%d-%M-%Y'), 1374 | 'ST_CLERK', 1375 | 3300, 1376 | NULL, 1377 | 121, 1378 | 50 1379 | ); 1380 | 1381 | INSERT INTO employees 1382 | VALUES ( 1383 | 130, 1384 | 'Mozhe', 1385 | 'Atkinson', 1386 | 'MATKINSO', 1387 | '650.124.6234', 1388 | STR_TO_DATE('30-OCT-1997', '%d-%M-%Y'), 1389 | 'ST_CLERK', 1390 | 2800, 1391 | NULL, 1392 | 121, 1393 | 50 1394 | ); 1395 | 1396 | INSERT INTO employees 1397 | VALUES ( 1398 | 131, 1399 | 'James', 1400 | 'Marlow', 1401 | 'JAMRLOW', 1402 | '650.124.7234', 1403 | STR_TO_DATE('16-FEB-1997', '%d-%M-%Y'), 1404 | 'ST_CLERK', 1405 | 2500, 1406 | NULL, 1407 | 121, 1408 | 50 1409 | ); 1410 | 1411 | INSERT INTO employees 1412 | VALUES ( 1413 | 132, 1414 | 'TJ', 1415 | 'Olson', 1416 | 'TJOLSON', 1417 | '650.124.8234', 1418 | STR_TO_DATE('10-APR-1999', '%d-%M-%Y'), 1419 | 'ST_CLERK', 1420 | 2100, 1421 | NULL, 1422 | 121, 1423 | 50 1424 | ); 1425 | 1426 | INSERT INTO employees 1427 | VALUES ( 1428 | 133, 1429 | 'Jason', 1430 | 'Mallin', 1431 | 'JMALLIN', 1432 | '650.127.1934', 1433 | STR_TO_DATE('14-JUN-1996', '%d-%M-%Y'), 1434 | 'ST_CLERK', 1435 | 3300, 1436 | NULL, 1437 | 122, 1438 | 50 1439 | ); 1440 | 1441 | INSERT INTO employees 1442 | VALUES ( 1443 | 134, 1444 | 'Michael', 1445 | 'Rogers', 1446 | 'MROGERS', 1447 | '650.127.1834', 1448 | STR_TO_DATE('26-AUG-1998', '%d-%M-%Y'), 1449 | 'ST_CLERK', 1450 | 2900, 1451 | NULL, 1452 | 122, 1453 | 50 1454 | ); 1455 | 1456 | INSERT INTO employees 1457 | VALUES ( 1458 | 135, 1459 | 'Ki', 1460 | 'Gee', 1461 | 'KGEE', 1462 | '650.127.1734', 1463 | STR_TO_DATE('12-DEC-1999', '%d-%M-%Y'), 1464 | 'ST_CLERK', 1465 | 2400, 1466 | NULL, 1467 | 122, 1468 | 50 1469 | ); 1470 | 1471 | INSERT INTO employees 1472 | VALUES ( 1473 | 136, 1474 | 'Hazel', 1475 | 'Philtanker', 1476 | 'HPHILTAN', 1477 | '650.127.1634', 1478 | STR_TO_DATE('06-FEB-2000', '%d-%M-%Y'), 1479 | 'ST_CLERK', 1480 | 2200, 1481 | NULL, 1482 | 122, 1483 | 50 1484 | ); 1485 | 1486 | INSERT INTO employees 1487 | VALUES ( 1488 | 137, 1489 | 'Renske', 1490 | 'Ladwig', 1491 | 'RLADWIG', 1492 | '650.121.1234', 1493 | STR_TO_DATE('14-JUL-1995', '%d-%M-%Y'), 1494 | 'ST_CLERK', 1495 | 3600, 1496 | NULL, 1497 | 123, 1498 | 50 1499 | ); 1500 | 1501 | INSERT INTO employees 1502 | VALUES ( 1503 | 138, 1504 | 'Stephen', 1505 | 'Stiles', 1506 | 'SSTILES', 1507 | '650.121.2034', 1508 | STR_TO_DATE('26-OCT-1997', '%d-%M-%Y'), 1509 | 'ST_CLERK', 1510 | 3200, 1511 | NULL, 1512 | 123, 1513 | 50 1514 | ); 1515 | 1516 | INSERT INTO employees 1517 | VALUES ( 1518 | 139, 1519 | 'John', 1520 | 'Seo', 1521 | 'JSEO', 1522 | '650.121.2019', 1523 | STR_TO_DATE('12-FEB-1998', '%d-%M-%Y'), 1524 | 'ST_CLERK', 1525 | 2700, 1526 | NULL, 1527 | 123, 1528 | 50 1529 | ); 1530 | 1531 | INSERT INTO employees 1532 | VALUES ( 1533 | 140, 1534 | 'Joshua', 1535 | 'Patel', 1536 | 'JPATEL', 1537 | '650.121.1834', 1538 | STR_TO_DATE('06-APR-1998', '%d-%M-%Y'), 1539 | 'ST_CLERK', 1540 | 2500, 1541 | NULL, 1542 | 123, 1543 | 50 1544 | ); 1545 | 1546 | INSERT INTO employees 1547 | VALUES ( 1548 | 141, 1549 | 'Trenna', 1550 | 'Rajs', 1551 | 'TRAJS', 1552 | '650.121.8009', 1553 | STR_TO_DATE('17-OCT-1995', '%d-%M-%Y'), 1554 | 'ST_CLERK', 1555 | 3500, 1556 | NULL, 1557 | 124, 1558 | 50 1559 | ); 1560 | 1561 | INSERT INTO employees 1562 | VALUES ( 1563 | 142, 1564 | 'Curtis', 1565 | 'Davies', 1566 | 'CDAVIES', 1567 | '650.121.2994', 1568 | STR_TO_DATE('29-JAN-1997', '%d-%M-%Y'), 1569 | 'ST_CLERK', 1570 | 3100, 1571 | NULL, 1572 | 124, 1573 | 50 1574 | ); 1575 | 1576 | INSERT INTO employees 1577 | VALUES ( 1578 | 143, 1579 | 'Randall', 1580 | 'Matos', 1581 | 'RMATOS', 1582 | '650.121.2874', 1583 | STR_TO_DATE('15-MAR-1998', '%d-%M-%Y'), 1584 | 'ST_CLERK', 1585 | 2600, 1586 | NULL, 1587 | 124, 1588 | 50 1589 | ); 1590 | 1591 | INSERT INTO employees 1592 | VALUES ( 1593 | 144, 1594 | 'Peter', 1595 | 'Vargas', 1596 | 'PVARGAS', 1597 | '650.121.2004', 1598 | STR_TO_DATE('09-JUL-1998', '%d-%M-%Y'), 1599 | 'ST_CLERK', 1600 | 2500, 1601 | NULL, 1602 | 124, 1603 | 50 1604 | ); 1605 | 1606 | INSERT INTO employees 1607 | VALUES ( 1608 | 145, 1609 | 'John', 1610 | 'Russell', 1611 | 'JRUSSEL', 1612 | '011.44.1344.429268', 1613 | STR_TO_DATE('01-OCT-1996', '%d-%M-%Y'), 1614 | 'SA_MAN', 1615 | 14000, 1616 | .4, 1617 | 100, 1618 | 80 1619 | ); 1620 | 1621 | INSERT INTO employees 1622 | VALUES ( 1623 | 146, 1624 | 'Karen', 1625 | 'Partners', 1626 | 'KPARTNER', 1627 | '011.44.1344.467268', 1628 | STR_TO_DATE('05-JAN-1997', '%d-%M-%Y'), 1629 | 'SA_MAN', 1630 | 13500, 1631 | .3, 1632 | 100, 1633 | 80 1634 | ); 1635 | 1636 | INSERT INTO employees 1637 | VALUES ( 1638 | 147, 1639 | 'Alberto', 1640 | 'Errazuriz', 1641 | 'AERRAZUR', 1642 | '011.44.1344.429278', 1643 | STR_TO_DATE('10-MAR-1997', '%d-%M-%Y'), 1644 | 'SA_MAN', 1645 | 12000, 1646 | .3, 1647 | 100, 1648 | 80 1649 | ); 1650 | 1651 | INSERT INTO employees 1652 | VALUES ( 1653 | 148, 1654 | 'Gerald', 1655 | 'Cambrault', 1656 | 'GCAMBRAU', 1657 | '011.44.1344.619268', 1658 | STR_TO_DATE('15-OCT-1999', '%d-%M-%Y'), 1659 | 'SA_MAN', 1660 | 11000, 1661 | .3, 1662 | 100, 1663 | 80 1664 | ); 1665 | 1666 | INSERT INTO employees 1667 | VALUES ( 1668 | 149, 1669 | 'Eleni', 1670 | 'Zlotkey', 1671 | 'EZLOTKEY', 1672 | '011.44.1344.429018', 1673 | STR_TO_DATE('29-JAN-2000', '%d-%M-%Y'), 1674 | 'SA_MAN', 1675 | 10500, 1676 | .2, 1677 | 100, 1678 | 80 1679 | ); 1680 | 1681 | INSERT INTO employees 1682 | VALUES ( 1683 | 150, 1684 | 'Peter', 1685 | 'Tucker', 1686 | 'PTUCKER', 1687 | '011.44.1344.129268', 1688 | STR_TO_DATE('30-JAN-1997', '%d-%M-%Y'), 1689 | 'SA_REP', 1690 | 10000, 1691 | .3, 1692 | 145, 1693 | 80 1694 | ); 1695 | 1696 | INSERT INTO employees 1697 | VALUES ( 1698 | 151, 1699 | 'David', 1700 | 'Bernstein', 1701 | 'DBERNSTE', 1702 | '011.44.1344.345268', 1703 | STR_TO_DATE('24-MAR-1997', '%d-%M-%Y'), 1704 | 'SA_REP', 1705 | 9500, 1706 | .25, 1707 | 145, 1708 | 80 1709 | ); 1710 | 1711 | INSERT INTO employees 1712 | VALUES ( 1713 | 152, 1714 | 'Peter', 1715 | 'Hall', 1716 | 'PHALL', 1717 | '011.44.1344.478968', 1718 | STR_TO_DATE('20-AUG-1997', '%d-%M-%Y'), 1719 | 'SA_REP', 1720 | 9000, 1721 | .25, 1722 | 145, 1723 | 80 1724 | ); 1725 | 1726 | INSERT INTO employees 1727 | VALUES ( 1728 | 153, 1729 | 'Christopher', 1730 | 'Olsen', 1731 | 'COLSEN', 1732 | '011.44.1344.498718', 1733 | STR_TO_DATE('30-MAR-1998', '%d-%M-%Y'), 1734 | 'SA_REP', 1735 | 8000, 1736 | .2, 1737 | 145, 1738 | 80 1739 | ); 1740 | 1741 | INSERT INTO employees 1742 | VALUES ( 1743 | 154, 1744 | 'Nanette', 1745 | 'Cambrault', 1746 | 'NCAMBRAU', 1747 | '011.44.1344.987668', 1748 | STR_TO_DATE('09-DEC-1998', '%d-%M-%Y'), 1749 | 'SA_REP', 1750 | 7500, 1751 | .2, 1752 | 145, 1753 | 80 1754 | ); 1755 | 1756 | INSERT INTO employees 1757 | VALUES ( 1758 | 155, 1759 | 'Oliver', 1760 | 'Tuvault', 1761 | 'OTUVAULT', 1762 | '011.44.1344.486508', 1763 | STR_TO_DATE('23-NOV-1999', '%d-%M-%Y'), 1764 | 'SA_REP', 1765 | 7000, 1766 | .15, 1767 | 145, 1768 | 80 1769 | ); 1770 | 1771 | INSERT INTO employees 1772 | VALUES ( 1773 | 156, 1774 | 'Janette', 1775 | 'King', 1776 | 'JKING', 1777 | '011.44.1345.429268', 1778 | STR_TO_DATE('30-JAN-1996', '%d-%M-%Y'), 1779 | 'SA_REP', 1780 | 10000, 1781 | .35, 1782 | 146, 1783 | 80 1784 | ); 1785 | 1786 | INSERT INTO employees 1787 | VALUES ( 1788 | 157, 1789 | 'Patrick', 1790 | 'Sully', 1791 | 'PSULLY', 1792 | '011.44.1345.929268', 1793 | STR_TO_DATE('04-MAR-1996', '%d-%M-%Y'), 1794 | 'SA_REP', 1795 | 9500, 1796 | .35, 1797 | 146, 1798 | 80 1799 | ); 1800 | 1801 | INSERT INTO employees 1802 | VALUES ( 1803 | 158, 1804 | 'Allan', 1805 | 'McEwen', 1806 | 'AMCEWEN', 1807 | '011.44.1345.829268', 1808 | STR_TO_DATE('01-AUG-1996', '%d-%M-%Y'), 1809 | 'SA_REP', 1810 | 9000, 1811 | .35, 1812 | 146, 1813 | 80 1814 | ); 1815 | 1816 | INSERT INTO employees 1817 | VALUES ( 1818 | 159, 1819 | 'Lindsey', 1820 | 'Smith', 1821 | 'LSMITH', 1822 | '011.44.1345.729268', 1823 | STR_TO_DATE('10-MAR-1997', '%d-%M-%Y'), 1824 | 'SA_REP', 1825 | 8000, 1826 | .3, 1827 | 146, 1828 | 80 1829 | ); 1830 | 1831 | INSERT INTO employees 1832 | VALUES ( 1833 | 160, 1834 | 'Louise', 1835 | 'Doran', 1836 | 'LDORAN', 1837 | '011.44.1345.629268', 1838 | STR_TO_DATE('15-DEC-1997', '%d-%M-%Y'), 1839 | 'SA_REP', 1840 | 7500, 1841 | .3, 1842 | 146, 1843 | 80 1844 | ); 1845 | 1846 | INSERT INTO employees 1847 | VALUES ( 1848 | 161, 1849 | 'Sarath', 1850 | 'Sewall', 1851 | 'SSEWALL', 1852 | '011.44.1345.529268', 1853 | STR_TO_DATE('03-NOV-1998', '%d-%M-%Y'), 1854 | 'SA_REP', 1855 | 7000, 1856 | .25, 1857 | 146, 1858 | 80 1859 | ); 1860 | 1861 | INSERT INTO employees 1862 | VALUES ( 1863 | 162, 1864 | 'Clara', 1865 | 'Vishney', 1866 | 'CVISHNEY', 1867 | '011.44.1346.129268', 1868 | STR_TO_DATE('11-NOV-1997', '%d-%M-%Y'), 1869 | 'SA_REP', 1870 | 10500, 1871 | .25, 1872 | 147, 1873 | 80 1874 | ); 1875 | 1876 | INSERT INTO employees 1877 | VALUES ( 1878 | 163, 1879 | 'Danielle', 1880 | 'Greene', 1881 | 'DGREENE', 1882 | '011.44.1346.229268', 1883 | STR_TO_DATE('19-MAR-1999', '%d-%M-%Y'), 1884 | 'SA_REP', 1885 | 9500, 1886 | .15, 1887 | 147, 1888 | 80 1889 | ); 1890 | 1891 | INSERT INTO employees 1892 | VALUES ( 1893 | 164, 1894 | 'Mattea', 1895 | 'Marvins', 1896 | 'MMARVINS', 1897 | '011.44.1346.329268', 1898 | STR_TO_DATE('24-JAN-2000', '%d-%M-%Y'), 1899 | 'SA_REP', 1900 | 7200, 1901 | .10, 1902 | 147, 1903 | 80 1904 | ); 1905 | 1906 | INSERT INTO employees 1907 | VALUES ( 1908 | 165, 1909 | 'David', 1910 | 'Lee', 1911 | 'DLEE', 1912 | '011.44.1346.529268', 1913 | STR_TO_DATE('23-FEB-2000', '%d-%M-%Y'), 1914 | 'SA_REP', 1915 | 6800, 1916 | .1, 1917 | 147, 1918 | 80 1919 | ); 1920 | 1921 | INSERT INTO employees 1922 | VALUES ( 1923 | 166, 1924 | 'Sundar', 1925 | 'Ande', 1926 | 'SANDE', 1927 | '011.44.1346.629268', 1928 | STR_TO_DATE('24-MAR-2000', '%d-%M-%Y'), 1929 | 'SA_REP', 1930 | 6400, 1931 | .10, 1932 | 147, 1933 | 80 1934 | ); 1935 | 1936 | INSERT INTO employees 1937 | VALUES ( 1938 | 167, 1939 | 'Amit', 1940 | 'Banda', 1941 | 'ABANDA', 1942 | '011.44.1346.729268', 1943 | STR_TO_DATE('21-APR-2000', '%d-%M-%Y'), 1944 | 'SA_REP', 1945 | 6200, 1946 | .10, 1947 | 147, 1948 | 80 1949 | ); 1950 | 1951 | INSERT INTO employees 1952 | VALUES ( 1953 | 168, 1954 | 'Lisa', 1955 | 'Ozer', 1956 | 'LOZER', 1957 | '011.44.1343.929268', 1958 | STR_TO_DATE('11-MAR-1997', '%d-%M-%Y'), 1959 | 'SA_REP', 1960 | 11500, 1961 | .25, 1962 | 148, 1963 | 80 1964 | ); 1965 | 1966 | INSERT INTO employees 1967 | VALUES ( 1968 | 169, 1969 | 'Harrison', 1970 | 'Bloom', 1971 | 'HBLOOM', 1972 | '011.44.1343.829268', 1973 | STR_TO_DATE('23-MAR-1998', '%d-%M-%Y'), 1974 | 'SA_REP', 1975 | 10000, 1976 | .20, 1977 | 148, 1978 | 80 1979 | ); 1980 | 1981 | INSERT INTO employees 1982 | VALUES ( 1983 | 170, 1984 | 'Tayler', 1985 | 'Fox', 1986 | 'TFOX', 1987 | '011.44.1343.729268', 1988 | STR_TO_DATE('24-JAN-1998', '%d-%M-%Y'), 1989 | 'SA_REP', 1990 | 9600, 1991 | .20, 1992 | 148, 1993 | 80 1994 | ); 1995 | 1996 | INSERT INTO employees 1997 | VALUES ( 1998 | 171, 1999 | 'William', 2000 | 'Smith', 2001 | 'WSMITH', 2002 | '011.44.1343.629268', 2003 | STR_TO_DATE('23-FEB-1999', '%d-%M-%Y'), 2004 | 'SA_REP', 2005 | 7400, 2006 | .15, 2007 | 148, 2008 | 80 2009 | ); 2010 | 2011 | INSERT INTO employees 2012 | VALUES ( 2013 | 172, 2014 | 'Elizabeth', 2015 | 'Bates', 2016 | 'EBATES', 2017 | '011.44.1343.529268', 2018 | STR_TO_DATE('24-MAR-1999', '%d-%M-%Y'), 2019 | 'SA_REP', 2020 | 7300, 2021 | .15, 2022 | 148, 2023 | 80 2024 | ); 2025 | 2026 | INSERT INTO employees 2027 | VALUES ( 2028 | 173, 2029 | 'Sundita', 2030 | 'Kumar', 2031 | 'SKUMAR', 2032 | '011.44.1343.329268', 2033 | STR_TO_DATE('21-APR-2000', '%d-%M-%Y'), 2034 | 'SA_REP', 2035 | 6100, 2036 | .10, 2037 | 148, 2038 | 80 2039 | ); 2040 | 2041 | INSERT INTO employees 2042 | VALUES ( 2043 | 174, 2044 | 'Ellen', 2045 | 'Abel', 2046 | 'EABEL', 2047 | '011.44.1644.429267', 2048 | STR_TO_DATE('11-MAY-1996', '%d-%M-%Y'), 2049 | 'SA_REP', 2050 | 11000, 2051 | .30, 2052 | 149, 2053 | 80 2054 | ); 2055 | 2056 | INSERT INTO employees 2057 | VALUES ( 2058 | 175, 2059 | 'Alyssa', 2060 | 'Hutton', 2061 | 'AHUTTON', 2062 | '011.44.1644.429266', 2063 | STR_TO_DATE('19-MAR-1997', '%d-%M-%Y'), 2064 | 'SA_REP', 2065 | 8800, 2066 | .25, 2067 | 149, 2068 | 80 2069 | ); 2070 | 2071 | INSERT INTO employees 2072 | VALUES ( 2073 | 176, 2074 | 'Jonathon', 2075 | 'Taylor', 2076 | 'JTAYLOR', 2077 | '011.44.1644.429265', 2078 | STR_TO_DATE('24-MAR-1998', '%d-%M-%Y'), 2079 | 'SA_REP', 2080 | 8600, 2081 | .20, 2082 | 149, 2083 | 80 2084 | ); 2085 | 2086 | INSERT INTO employees 2087 | VALUES ( 2088 | 177, 2089 | 'Jack', 2090 | 'Livingston', 2091 | 'JLIVINGS', 2092 | '011.44.1644.429264', 2093 | STR_TO_DATE('23-APR-1998', '%d-%M-%Y'), 2094 | 'SA_REP', 2095 | 8400, 2096 | .20, 2097 | 149, 2098 | 80 2099 | ); 2100 | 2101 | INSERT INTO employees 2102 | VALUES ( 2103 | 178, 2104 | 'Kimberely', 2105 | 'Grant', 2106 | 'KGRANT', 2107 | '011.44.1644.429263', 2108 | STR_TO_DATE('24-MAY-1999', '%d-%M-%Y'), 2109 | 'SA_REP', 2110 | 7000, 2111 | .15, 2112 | 149, 2113 | NULL 2114 | ); 2115 | 2116 | INSERT INTO employees 2117 | VALUES ( 2118 | 179, 2119 | 'Charles', 2120 | 'Johnson', 2121 | 'CJOHNSON', 2122 | '011.44.1644.429262', 2123 | STR_TO_DATE('04-JAN-2000', '%d-%M-%Y'), 2124 | 'SA_REP', 2125 | 6200, 2126 | .10, 2127 | 149, 2128 | 80 2129 | ); 2130 | 2131 | INSERT INTO employees 2132 | VALUES ( 2133 | 180, 2134 | 'Winston', 2135 | 'Taylor', 2136 | 'WTAYLOR', 2137 | '650.507.9876', 2138 | STR_TO_DATE('24-JAN-1998', '%d-%M-%Y'), 2139 | 'SH_CLERK', 2140 | 3200, 2141 | NULL, 2142 | 120, 2143 | 50 2144 | ); 2145 | 2146 | INSERT INTO employees 2147 | VALUES ( 2148 | 181, 2149 | 'Jean', 2150 | 'Fleaur', 2151 | 'JFLEAUR', 2152 | '650.507.9877', 2153 | STR_TO_DATE('23-FEB-1998', '%d-%M-%Y'), 2154 | 'SH_CLERK', 2155 | 3100, 2156 | NULL, 2157 | 120, 2158 | 50 2159 | ); 2160 | 2161 | INSERT INTO employees 2162 | VALUES ( 2163 | 182, 2164 | 'Martha', 2165 | 'Sullivan', 2166 | 'MSULLIVA', 2167 | '650.507.9878', 2168 | STR_TO_DATE('21-JUN-1999', '%d-%M-%Y'), 2169 | 'SH_CLERK', 2170 | 2500, 2171 | NULL, 2172 | 120, 2173 | 50 2174 | ); 2175 | 2176 | INSERT INTO employees 2177 | VALUES ( 2178 | 183, 2179 | 'Girard', 2180 | 'Geoni', 2181 | 'GGEONI', 2182 | '650.507.9879', 2183 | STR_TO_DATE('03-FEB-2000', '%d-%M-%Y'), 2184 | 'SH_CLERK', 2185 | 2800, 2186 | NULL, 2187 | 120, 2188 | 50 2189 | ); 2190 | 2191 | INSERT INTO employees 2192 | VALUES ( 2193 | 184, 2194 | 'Nandita', 2195 | 'Sarchand', 2196 | 'NSARCHAN', 2197 | '650.509.1876', 2198 | STR_TO_DATE('27-JAN-1996', '%d-%M-%Y'), 2199 | 'SH_CLERK', 2200 | 4200, 2201 | NULL, 2202 | 121, 2203 | 50 2204 | ); 2205 | 2206 | INSERT INTO employees 2207 | VALUES ( 2208 | 185, 2209 | 'Alexis', 2210 | 'Bull', 2211 | 'ABULL', 2212 | '650.509.2876', 2213 | STR_TO_DATE('20-FEB-1997', '%d-%M-%Y'), 2214 | 'SH_CLERK', 2215 | 4100, 2216 | NULL, 2217 | 121, 2218 | 50 2219 | ); 2220 | 2221 | INSERT INTO employees 2222 | VALUES ( 2223 | 186, 2224 | 'Julia', 2225 | 'Dellinger', 2226 | 'JDELLING', 2227 | '650.509.3876', 2228 | STR_TO_DATE('24-JUN-1998', '%d-%M-%Y'), 2229 | 'SH_CLERK', 2230 | 3400, 2231 | NULL, 2232 | 121, 2233 | 50 2234 | ); 2235 | 2236 | INSERT INTO employees 2237 | VALUES ( 2238 | 187, 2239 | 'Anthony', 2240 | 'Cabrio', 2241 | 'ACABRIO', 2242 | '650.509.4876', 2243 | STR_TO_DATE('07-FEB-1999', '%d-%M-%Y'), 2244 | 'SH_CLERK', 2245 | 3000, 2246 | NULL, 2247 | 121, 2248 | 50 2249 | ); 2250 | 2251 | INSERT INTO employees 2252 | VALUES ( 2253 | 188, 2254 | 'Kelly', 2255 | 'Chung', 2256 | 'KCHUNG', 2257 | '650.505.1876', 2258 | STR_TO_DATE('14-JUN-1997', '%d-%M-%Y'), 2259 | 'SH_CLERK', 2260 | 3800, 2261 | NULL, 2262 | 122, 2263 | 50 2264 | ); 2265 | 2266 | INSERT INTO employees 2267 | VALUES ( 2268 | 189, 2269 | 'Jennifer', 2270 | 'Dilly', 2271 | 'JDILLY', 2272 | '650.505.2876', 2273 | STR_TO_DATE('13-AUG-1997', '%d-%M-%Y'), 2274 | 'SH_CLERK', 2275 | 3600, 2276 | NULL, 2277 | 122, 2278 | 50 2279 | ); 2280 | 2281 | INSERT INTO employees 2282 | VALUES ( 2283 | 190, 2284 | 'Timothy', 2285 | 'Gates', 2286 | 'TGATES', 2287 | '650.505.3876', 2288 | STR_TO_DATE('11-JUL-1998', '%d-%M-%Y'), 2289 | 'SH_CLERK', 2290 | 2900, 2291 | NULL, 2292 | 122, 2293 | 50 2294 | ); 2295 | 2296 | INSERT INTO employees 2297 | VALUES ( 2298 | 191, 2299 | 'Randall', 2300 | 'Perkins', 2301 | 'RPERKINS', 2302 | '650.505.4876', 2303 | STR_TO_DATE('19-DEC-1999', '%d-%M-%Y'), 2304 | 'SH_CLERK', 2305 | 2500, 2306 | NULL, 2307 | 122, 2308 | 50 2309 | ); 2310 | 2311 | INSERT INTO employees 2312 | VALUES ( 2313 | 192, 2314 | 'Sarah', 2315 | 'Bell', 2316 | 'SBELL', 2317 | '650.501.1876', 2318 | STR_TO_DATE('04-FEB-1996', '%d-%M-%Y'), 2319 | 'SH_CLERK', 2320 | 4000, 2321 | NULL, 2322 | 123, 2323 | 50 2324 | ); 2325 | 2326 | INSERT INTO employees 2327 | VALUES ( 2328 | 193, 2329 | 'Britney', 2330 | 'Everett', 2331 | 'BEVERETT', 2332 | '650.501.2876', 2333 | STR_TO_DATE('03-MAR-1997', '%d-%M-%Y'), 2334 | 'SH_CLERK', 2335 | 3900, 2336 | NULL, 2337 | 123, 2338 | 50 2339 | ); 2340 | 2341 | INSERT INTO employees 2342 | VALUES ( 2343 | 194, 2344 | 'Samuel', 2345 | 'McCain', 2346 | 'SMCCAIN', 2347 | '650.501.3876', 2348 | STR_TO_DATE('01-JUL-1998', '%d-%M-%Y'), 2349 | 'SH_CLERK', 2350 | 3200, 2351 | NULL, 2352 | 123, 2353 | 50 2354 | ); 2355 | 2356 | INSERT INTO employees 2357 | VALUES ( 2358 | 195, 2359 | 'Vance', 2360 | 'Jones', 2361 | 'VJONES', 2362 | '650.501.4876', 2363 | STR_TO_DATE('17-MAR-1999', '%d-%M-%Y'), 2364 | 'SH_CLERK', 2365 | 2800, 2366 | NULL, 2367 | 123, 2368 | 50 2369 | ); 2370 | 2371 | INSERT INTO employees 2372 | VALUES ( 2373 | 196, 2374 | 'Alana', 2375 | 'Walsh', 2376 | 'AWALSH', 2377 | '650.507.9811', 2378 | STR_TO_DATE('24-APR-1998', '%d-%M-%Y'), 2379 | 'SH_CLERK', 2380 | 3100, 2381 | NULL, 2382 | 124, 2383 | 50 2384 | ); 2385 | 2386 | INSERT INTO employees 2387 | VALUES ( 2388 | 197, 2389 | 'Kevin', 2390 | 'Feeney', 2391 | 'KFEENEY', 2392 | '650.507.9822', 2393 | STR_TO_DATE('23-MAY-1998', '%d-%M-%Y'), 2394 | 'SH_CLERK', 2395 | 3000, 2396 | NULL, 2397 | 124, 2398 | 50 2399 | ); 2400 | 2401 | INSERT INTO employees 2402 | VALUES ( 2403 | 198, 2404 | 'Donald', 2405 | 'OConnell', 2406 | 'DOCONNEL', 2407 | '650.507.9833', 2408 | STR_TO_DATE('21-JUN-1999', '%d-%M-%Y'), 2409 | 'SH_CLERK', 2410 | 2600, 2411 | NULL, 2412 | 124, 2413 | 50 2414 | ); 2415 | 2416 | INSERT INTO employees 2417 | VALUES ( 2418 | 199, 2419 | 'Douglas', 2420 | 'Grant', 2421 | 'DGRANT', 2422 | '650.507.9844', 2423 | STR_TO_DATE('13-JAN-2000', '%d-%M-%Y'), 2424 | 'SH_CLERK', 2425 | 2600, 2426 | NULL, 2427 | 124, 2428 | 50 2429 | ); 2430 | 2431 | INSERT INTO employees 2432 | VALUES ( 2433 | 200, 2434 | 'Jennifer', 2435 | 'Whalen', 2436 | 'JWHALEN', 2437 | '515.123.4444', 2438 | STR_TO_DATE('17-SEP-1987', '%d-%M-%Y'), 2439 | 'AD_ASST', 2440 | 4400, 2441 | NULL, 2442 | 101, 2443 | 10 2444 | ); 2445 | 2446 | INSERT INTO employees 2447 | VALUES ( 2448 | 201, 2449 | 'Michael', 2450 | 'Hartstein', 2451 | 'MHARTSTE', 2452 | '515.123.5555', 2453 | STR_TO_DATE('17-FEB-1996', '%d-%M-%Y'), 2454 | 'MK_MAN', 2455 | 13000, 2456 | NULL, 2457 | 100, 2458 | 20 2459 | ); 2460 | 2461 | INSERT INTO employees 2462 | VALUES ( 2463 | 202, 2464 | 'Pat', 2465 | 'Fay', 2466 | 'PFAY', 2467 | '603.123.6666', 2468 | STR_TO_DATE('17-AUG-1997', '%d-%M-%Y'), 2469 | 'MK_REP', 2470 | 6000, 2471 | NULL, 2472 | 201, 2473 | 20 2474 | ); 2475 | 2476 | INSERT INTO employees 2477 | VALUES ( 2478 | 203, 2479 | 'Susan', 2480 | 'Mavris', 2481 | 'SMAVRIS', 2482 | '515.123.7777', 2483 | STR_TO_DATE('07-JUN-1994', '%d-%M-%Y'), 2484 | 'HR_REP', 2485 | 6500, 2486 | NULL, 2487 | 101, 2488 | 40 2489 | ); 2490 | 2491 | INSERT INTO employees 2492 | VALUES ( 2493 | 204, 2494 | 'Hermann', 2495 | 'Baer', 2496 | 'HBAER', 2497 | '515.123.8888', 2498 | STR_TO_DATE('07-JUN-1994', '%d-%M-%Y'), 2499 | 'PR_REP', 2500 | 10000, 2501 | NULL, 2502 | 101, 2503 | 70 2504 | ); 2505 | 2506 | INSERT INTO employees 2507 | VALUES ( 2508 | 205, 2509 | 'Shelley', 2510 | 'Higgins', 2511 | 'SHIGGINS', 2512 | '515.123.8080', 2513 | STR_TO_DATE('07-JUN-1994', '%d-%M-%Y'), 2514 | 'AC_MGR', 2515 | 12000, 2516 | NULL, 2517 | 101, 2518 | 110 2519 | ); 2520 | 2521 | INSERT INTO employees 2522 | VALUES ( 2523 | 206, 2524 | 'William', 2525 | 'Gietz', 2526 | 'WGIETZ', 2527 | '51hr5.123.8181', 2528 | STR_TO_DATE('07-JUN-1994', '%d-%M-%Y'), 2529 | 'AC_ACCOUNT', 2530 | 8300, 2531 | NULL, 2532 | 205, 2533 | 110 2534 | ); 2535 | 2536 | COMMIT; 2537 | 2538 | INSERT INTO job_history 2539 | VALUES ( 2540 | 102, 2541 | STR_TO_DATE('13-Jan-1993', '%d-%M-%Y'), 2542 | STR_TO_DATE('24-Jul-1998', '%d-%M-%Y'), 2543 | 'IT_PROG', 2544 | 60 2545 | ); 2546 | 2547 | INSERT INTO job_history 2548 | VALUES ( 2549 | 101, 2550 | STR_TO_DATE('21-Sep-1989', '%d-%M-%Y'), 2551 | STR_TO_DATE('27-Oct-1993', '%d-%M-%Y'), 2552 | 'AC_ACCOUNT', 2553 | 110 2554 | ); 2555 | 2556 | INSERT INTO job_history 2557 | VALUES ( 2558 | 101, 2559 | STR_TO_DATE('28-Oct-1993','%d-%M-%Y'), 2560 | STR_TO_DATE('15-Mar-1997','%d-%M-%Y'), 2561 | 'AC_MGR', 2562 | 110 2563 | ); 2564 | 2565 | INSERT INTO job_history 2566 | VALUES ( 2567 | 201, 2568 | STR_TO_DATE('27-Feb-1996','%d-%M-%Y'), 2569 | STR_TO_DATE('19-Dec-1999','%d-%M-%Y'), 2570 | 'MK_REP', 2571 | 20 2572 | ); 2573 | 2574 | INSERT INTO job_history 2575 | VALUES ( 2576 | 114, 2577 | STR_TO_DATE('24-Mar-1998','%d-%M-%Y'), 2578 | STR_TO_DATE('31-Dec-1999','%d-%M-%Y'), 2579 | 'ST_CLERK', 2580 | 50 2581 | ); 2582 | 2583 | INSERT INTO job_history 2584 | VALUES ( 2585 | 122, 2586 | STR_TO_DATE('01-Jan-1999','%d-%M-%Y'), 2587 | STR_TO_DATE('31-Dec-1999','%d-%M-%Y'), 2588 | 'ST_CLERK', 2589 | 50 2590 | ); 2591 | 2592 | INSERT INTO job_history 2593 | VALUES ( 2594 | 200, 2595 | STR_TO_DATE('17-Sep-1987','%d-%M-%Y'), 2596 | STR_TO_DATE('17-Jun-1993','%d-%M-%Y'), 2597 | 'AD_ASST', 2598 | 90 2599 | ); 2600 | 2601 | INSERT INTO job_history 2602 | VALUES ( 2603 | 176, 2604 | STR_TO_DATE('24-Mar-1998','%d-%M-%Y'), 2605 | STR_TO_DATE('31-Dec-1998','%d-%M-%Y'), 2606 | 'SA_REP', 2607 | 80 2608 | ); 2609 | 2610 | INSERT INTO job_history 2611 | VALUES ( 2612 | 176, 2613 | STR_TO_DATE('01-Jan-1999','%d-%M-%Y'), 2614 | STR_TO_DATE('31-Dec-1999','%d-%M-%Y'), 2615 | 'SA_MAN', 2616 | 80 2617 | ); 2618 | 2619 | INSERT INTO job_history 2620 | VALUES ( 2621 | 200, 2622 | STR_TO_DATE('01-Jul-1994','%d-%M-%Y'), 2623 | STR_TO_DATE('31-Dec-1998','%d-%M-%Y'), 2624 | 'AC_ACCOUNT', 2625 | 90 2626 | ); 2627 | 2628 | COMMIT; 2629 | 2630 | /* *************************************************************** 2631 | ***************************FOREIGN KEYS*************************** 2632 | **************************************************************** */ 2633 | 2634 | ALTER TABLE countries ADD FOREIGN KEY (region_id) REFERENCES regions(region_id); 2635 | ALTER TABLE locations ADD FOREIGN KEY (country_id) REFERENCES countries(country_id); 2636 | ALTER TABLE departments ADD FOREIGN KEY (location_id) REFERENCES locations(location_id); 2637 | ALTER TABLE employees ADD FOREIGN KEY (job_id) REFERENCES jobs(job_id); 2638 | ALTER TABLE employees ADD FOREIGN KEY (department_id) REFERENCES departments(department_id); 2639 | ALTER TABLE employees ADD FOREIGN KEY (manager_id) REFERENCES employees(employee_id); 2640 | ALTER TABLE departments ADD FOREIGN KEY (manager_id) REFERENCES employees (employee_id); 2641 | ALTER TABLE job_history ADD FOREIGN KEY (employee_id) REFERENCES employees(employee_id); 2642 | ALTER TABLE job_history ADD FOREIGN KEY (job_id) REFERENCES jobs(job_id); 2643 | ALTER TABLE job_history ADD FOREIGN KEY (department_id) REFERENCES departments(department_id); -------------------------------------------------------------------------------- /pizza_sales/pizza_types.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/pizza_sales/pizza_types.csv -------------------------------------------------------------------------------- /pizza_sales/pizzas.csv: -------------------------------------------------------------------------------- 1 | pizza_id,pizza_type_id,size,price 2 | bbq_ckn_s,bbq_ckn,S,12.75 3 | bbq_ckn_m,bbq_ckn,M,16.75 4 | bbq_ckn_l,bbq_ckn,L,20.75 5 | cali_ckn_s,cali_ckn,S,12.75 6 | cali_ckn_m,cali_ckn,M,16.75 7 | cali_ckn_l,cali_ckn,L,20.75 8 | ckn_alfredo_s,ckn_alfredo,S,12.75 9 | ckn_alfredo_m,ckn_alfredo,M,16.75 10 | ckn_alfredo_l,ckn_alfredo,L,20.75 11 | ckn_pesto_s,ckn_pesto,S,12.75 12 | ckn_pesto_m,ckn_pesto,M,16.75 13 | ckn_pesto_l,ckn_pesto,L,20.75 14 | southw_ckn_s,southw_ckn,S,12.75 15 | southw_ckn_m,southw_ckn,M,16.75 16 | southw_ckn_l,southw_ckn,L,20.75 17 | thai_ckn_s,thai_ckn,S,12.75 18 | thai_ckn_m,thai_ckn,M,16.75 19 | thai_ckn_l,thai_ckn,L,20.75 20 | big_meat_s,big_meat,S,12 21 | big_meat_m,big_meat,M,16 22 | big_meat_l,big_meat,L,20.5 23 | classic_dlx_s,classic_dlx,S,12 24 | classic_dlx_m,classic_dlx,M,16 25 | classic_dlx_l,classic_dlx,L,20.5 26 | hawaiian_s,hawaiian,S,10.5 27 | hawaiian_m,hawaiian,M,13.25 28 | hawaiian_l,hawaiian,L,16.5 29 | ital_cpcllo_s,ital_cpcllo,S,12 30 | ital_cpcllo_m,ital_cpcllo,M,16 31 | ital_cpcllo_l,ital_cpcllo,L,20.5 32 | napolitana_s,napolitana,S,12 33 | napolitana_m,napolitana,M,16 34 | napolitana_l,napolitana,L,20.5 35 | pep_msh_pep_s,pep_msh_pep,S,11 36 | pep_msh_pep_m,pep_msh_pep,M,14.5 37 | pep_msh_pep_l,pep_msh_pep,L,17.5 38 | pepperoni_s,pepperoni,S,9.75 39 | pepperoni_m,pepperoni,M,12.5 40 | pepperoni_l,pepperoni,L,15.25 41 | the_greek_s,the_greek,S,12 42 | the_greek_m,the_greek,M,16 43 | the_greek_l,the_greek,L,20.5 44 | the_greek_xl,the_greek,XL,25.5 45 | the_greek_xxl,the_greek,XXL,35.95 46 | brie_carre_s,brie_carre,S,23.65 47 | calabrese_s,calabrese,S,12.25 48 | calabrese_m,calabrese,M,16.25 49 | calabrese_l,calabrese,L,20.25 50 | ital_supr_s,ital_supr,S,12.5 51 | ital_supr_m,ital_supr,M,16.5 52 | ital_supr_l,ital_supr,L,20.75 53 | peppr_salami_s,peppr_salami,S,12.5 54 | peppr_salami_m,peppr_salami,M,16.5 55 | peppr_salami_l,peppr_salami,L,20.75 56 | prsc_argla_s,prsc_argla,S,12.5 57 | prsc_argla_m,prsc_argla,M,16.5 58 | prsc_argla_l,prsc_argla,L,20.75 59 | sicilian_s,sicilian,S,12.25 60 | sicilian_m,sicilian,M,16.25 61 | sicilian_l,sicilian,L,20.25 62 | soppressata_s,soppressata,S,12.5 63 | soppressata_m,soppressata,M,16.5 64 | soppressata_l,soppressata,L,20.75 65 | spicy_ital_s,spicy_ital,S,12.5 66 | spicy_ital_m,spicy_ital,M,16.5 67 | spicy_ital_l,spicy_ital,L,20.75 68 | spinach_supr_s,spinach_supr,S,12.5 69 | spinach_supr_m,spinach_supr,M,16.5 70 | spinach_supr_l,spinach_supr,L,20.75 71 | five_cheese_s,five_cheese,S,12.5 72 | five_cheese_m,five_cheese,M,15.5 73 | five_cheese_l,five_cheese,L,18.5 74 | four_cheese_s,four_cheese,S,11.75 75 | four_cheese_m,four_cheese,M,14.75 76 | four_cheese_l,four_cheese,L,17.95 77 | green_garden_s,green_garden,S,12 78 | green_garden_m,green_garden,M,16 79 | green_garden_l,green_garden,L,20.25 80 | ital_veggie_s,ital_veggie,S,12.75 81 | ital_veggie_m,ital_veggie,M,16.75 82 | ital_veggie_l,ital_veggie,L,21 83 | mediterraneo_s,mediterraneo,S,12 84 | mediterraneo_m,mediterraneo,M,16 85 | mediterraneo_l,mediterraneo,L,20.25 86 | mexicana_s,mexicana,S,12 87 | mexicana_m,mexicana,M,16 88 | mexicana_l,mexicana,L,20.25 89 | spin_pesto_s,spin_pesto,S,12.5 90 | spin_pesto_m,spin_pesto,M,16.5 91 | spin_pesto_l,spin_pesto,L,20.75 92 | spinach_fet_s,spinach_fet,S,12 93 | spinach_fet_m,spinach_fet,M,16 94 | spinach_fet_l,spinach_fet,L,20.25 95 | veggie_veg_s,veggie_veg,S,12 96 | veggie_veg_m,veggie_veg,M,16 97 | veggie_veg_l,veggie_veg,L,20.25 98 | -------------------------------------------------------------------------------- /sikar_garbage_collection_complaints_dataset.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ayushi0214/Datasets/5e10557483e554a5594931db4b919bbd9dc99603/sikar_garbage_collection_complaints_dataset.xlsx -------------------------------------------------------------------------------- /spotify_album_url.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import spotipy 3 | from spotipy.oauth2 import SpotifyClientCredentials 4 | 5 | # Spotify credentials 6 | client_id = '' 7 | client_secret = '' 8 | 9 | # Setting up Spotify client credentials manager 10 | client_credentials_manager = SpotifyClientCredentials(client_id=client_id, client_secret=client_secret) 11 | sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager) 12 | 13 | def get_album_image_url(track_name): 14 | # Search for the track 15 | result = sp.search(q='track:' + track_name, type='track', limit=1) 16 | items = result['tracks']['items'] 17 | if items: 18 | # Get album image URL 19 | album_image_url = items[0]['album']['images'][0]['url'] 20 | return album_image_url 21 | else: 22 | return "Not Found" 23 | 24 | # Read the dataset 25 | df = pd.read_csv('C:/Users/ayush/Desktop/Excel Datasets/spotify-2023.csv') 26 | 27 | # Assuming the column name for track names is 'track_name' 28 | df['album_image_url'] = df['track_name'].apply(get_album_image_url) 29 | 30 | # Save the new dataframe with album image URLs 31 | df.to_csv('C:/Users/ayush/Desktop/Excel Datasets/spotify-2023.csv', index=False) 32 | --------------------------------------------------------------------------------