Data Analysis of Premium Economy Vs Economy Ticket Pricing by Airlines
Sree Lakshmi Addepalli
20 January 2018
setwd("C:/Users/Lakshmi/Desktop/DataAnalysisInManagerialApplications")#Task 1 Read the data into R
airlinesdata <- read.csv(file="SixAirlinesDataV2.csv",head=TRUE,sep=",")
airlinesdata## Airline Aircraft FlightDuration TravelMonth IsInternational
## 1 British Boeing 12.25 Jul International
## 2 British Boeing 12.25 Aug International
## 3 British Boeing 12.25 Sep International
## 4 British Boeing 12.25 Oct International
## 5 British Boeing 8.16 Aug International
## 6 British Boeing 8.16 Sep International
## 7 British Boeing 8.16 Oct International
## 8 British Boeing 6.50 Aug International
## 9 British Boeing 6.50 Sep International
## 10 British Boeing 11.50 Sep International
## 11 British Boeing 11.50 Oct International
## 12 British Boeing 11.50 Aug International
## 13 British Boeing 11.50 Jul International
## 14 British Boeing 11.58 Aug International
## 15 British Boeing 11.58 Sep International
## 16 British Boeing 11.58 Oct International
## 17 British Boeing 9.16 Aug International
## 18 British Boeing 9.16 Sep International
## 19 British Boeing 9.16 Oct International
## 20 British Boeing 6.75 Aug International
## 21 British Boeing 6.75 Sep International
## 22 British Boeing 6.75 Oct International
## 23 British Boeing 6.66 Aug International
## 24 British Boeing 6.66 Sep International
## 25 British Boeing 6.66 Oct International
## 26 British Boeing 8.75 Aug International
## 27 British Boeing 8.75 Sep International
## 28 British Boeing 8.75 Oct International
## 29 British Boeing 4.91 Aug International
## 30 British Boeing 4.91 Sep International
## 31 British Boeing 4.91 Oct International
## 32 British Boeing 3.83 Jul International
## 33 British Boeing 3.83 Aug International
## 34 British Boeing 3.83 Sep International
## 35 British Boeing 3.83 Oct International
## 36 British Boeing 13.50 Aug International
## 37 British Boeing 13.50 Sep International
## 38 British Boeing 13.50 Oct International
## 39 British Boeing 3.83 Jul International
## 40 British Boeing 3.83 Aug International
## 41 British Boeing 3.83 Sep International
## 42 British Boeing 3.83 Oct International
## 43 British Boeing 5.41 Aug International
## 44 British Boeing 5.41 Sep International
## 45 British Boeing 5.41 Oct International
## 46 British Boeing 8.25 Aug International
## 47 British Boeing 8.25 Sep International
## 48 British Boeing 8.25 Oct International
## 49 British Boeing 12.75 Aug International
## 50 British Boeing 12.75 Sep International
## 51 British Boeing 12.75 Oct International
## 52 British Boeing 6.50 Oct International
## 53 British Boeing 11.08 Aug International
## 54 British Boeing 11.08 Sep International
## 55 British Boeing 11.08 Oct International
## 56 British Boeing 6.08 Aug International
## 57 British Boeing 6.08 Sep International
## 58 British Boeing 6.08 Oct International
## 59 British Boeing 12.50 Aug International
## 60 British Boeing 12.05 Sep International
## 61 British Boeing 12.50 Oct International
## 62 Virgin AirBus 8.00 Jul International
## 63 Virgin AirBus 8.00 Aug International
## 64 Virgin AirBus 8.00 Sep International
## 65 Virgin AirBus 8.00 Oct International
## 66 Virgin AirBus 8.83 Jul International
## 67 Virgin AirBus 8.83 Aug International
## 68 Virgin AirBus 8.83 Sep International
## 69 Virgin AirBus 8.83 Oct International
## 70 Virgin AirBus 7.08 Aug International
## 71 Virgin AirBus 7.08 Sep International
## 72 Virgin AirBus 7.08 Oct International
## 73 Virgin AirBus 7.75 Aug International
## 74 Delta Boeing 2.06 Aug Domestic
## 75 Delta Boeing 2.33 Sep Domestic
## 76 Delta Boeing 2.06 Jul Domestic
## 77 Delta Boeing 2.01 Oct Domestic
## 78 Delta Boeing 2.33 Oct Domestic
## 79 Delta Boeing 1.75 Jul Domestic
## 80 Delta Boeing 2.30 Aug Domestic
## 81 Delta Boeing 2.30 Jul Domestic
## 82 British Boeing 6.83 Jul International
## 83 British Boeing 6.83 Aug International
## 84 British Boeing 6.83 Sep International
## 85 British Boeing 6.83 Oct International
## 86 British Boeing 7.58 Aug International
## 87 British Boeing 7.58 Sep International
## 88 British Boeing 7.58 Oct International
## 89 British Boeing 7.58 Jul International
## 90 Jet Boeing 3.08 Jul International
## 91 Jet Boeing 3.08 Aug International
## 92 Jet Boeing 3.08 Sep International
## 93 Jet Boeing 3.08 Oct International
## 94 Jet Boeing 3.08 Aug International
## 95 Jet Boeing 3.08 Sep International
## 96 Jet Boeing 3.08 Oct International
## 97 Jet Boeing 3.08 Jul International
## 98 Delta Boeing 4.26 Jul Domestic
## 99 British AirBus 11.16 Jul International
## 100 British AirBus 11.16 Aug International
## 101 British AirBus 11.16 Sep International
## 102 British AirBus 11.16 Oct International
## 103 British AirBus 10.50 Jul International
## 104 British AirBus 10.50 Aug International
## 105 British AirBus 10.50 Sep International
## 106 British AirBus 10.50 Oct International
## 107 British AirBus 13.08 Aug International
## 108 British AirBus 13.08 Sep International
## 109 British AirBus 13.08 Oct International
## 110 British AirBus 11.16 Sep International
## 111 British AirBus 11.16 Oct International
## 112 British AirBus 11.16 Aug International
## 113 British AirBus 4.08 Sep International
## 114 British AirBus 3.58 Aug International
## 115 British AirBus 3.58 Sep International
## 116 British AirBus 2.41 Jul International
## 117 British AirBus 3.25 Aug International
## 118 British AirBus 3.25 Sep International
## 119 British AirBus 3.58 Aug International
## 120 British AirBus 2.66 Oct International
## 121 British AirBus 2.41 Aug International
## 122 British AirBus 2.41 Sep International
## 123 British AirBus 2.41 Aug International
## 124 British AirBus 3.25 Oct International
## 125 British AirBus 1.83 Jul International
## 126 British AirBus 3.58 Oct International
## 127 British AirBus 4.50 Aug International
## 128 British AirBus 2.41 Oct International
## 129 British AirBus 4.50 Oct International
## 130 British AirBus 1.83 Aug International
## 131 British AirBus 2.41 Jul International
## 132 British AirBus 3.58 Sep International
## 133 British AirBus 4.08 Aug International
## 134 British AirBus 2.83 Sep International
## 135 British AirBus 4.50 Sep International
## 136 British AirBus 1.25 Jul International
## 137 British AirBus 4.08 Oct International
## 138 British Boeing 1.25 Aug International
## 139 British AirBus 2.41 Sep International
## 140 British AirBus 1.83 Sep International
## 141 British AirBus 1.83 Oct International
## 142 British AirBus 1.25 Aug International
## 143 British AirBus 1.25 Sep International
## 144 British Boeing 1.25 Sep International
## 145 British AirBus 3.58 Oct International
## 146 British AirBus 2.83 Oct International
## 147 British Boeing 1.33 Aug International
## 148 British Boeing 1.33 Sep International
## 149 British Boeing 1.25 Oct International
## 150 British AirBus 2.41 Oct International
## 151 British Boeing 1.33 Oct International
## 152 Delta Boeing 4.33 Aug Domestic
## 153 Delta Boeing 4.51 Aug Domestic
## 154 Delta Boeing 4.33 Jul Domestic
## 155 Delta Boeing 4.51 Jul Domestic
## 156 Virgin Boeing 11.25 Jul International
## 157 Virgin Boeing 11.25 Aug International
## 158 Virgin Boeing 11.25 Sep International
## 159 Virgin Boeing 11.25 Oct International
## 160 Virgin Boeing 12.08 Aug International
## 161 Virgin Boeing 12.08 Sep International
## 162 Virgin Boeing 12.08 Oct International
## 163 Virgin Boeing 12.08 Jul International
## 164 Virgin Boeing 9.91 Jul International
## 165 Virgin Boeing 9.91 Aug International
## 166 Virgin Boeing 9.91 Sep International
## 167 Virgin Boeing 9.91 Oct International
## 168 Virgin Boeing 10.83 Jul International
## 169 Virgin Boeing 10.83 Aug International
## 170 Virgin Boeing 10.83 Sep International
## 171 Virgin Boeing 10.83 Oct International
## 172 Virgin Boeing 10.41 Oct International
## 173 Virgin Boeing 12.58 Aug International
## 174 Virgin Boeing 10.75 Jul International
## 175 Virgin Boeing 10.75 Aug International
## 176 Virgin Boeing 10.75 Sep International
## 177 Virgin Boeing 10.75 Oct International
## 178 Virgin Boeing 12.58 Oct International
## 179 Virgin Boeing 11.33 Oct International
## 180 Virgin Boeing 7.66 Jul International
## 181 Virgin Boeing 7.66 Aug International
## 182 Virgin Boeing 7.66 Sep International
## 183 Virgin Boeing 7.66 Oct International
## 184 Virgin Boeing 12.58 Sep International
## 185 Delta AirBus 8.33 Aug International
## 186 Delta AirBus 8.33 Oct International
## 187 Delta AirBus 9.50 Aug International
## 188 Delta AirBus 9.50 Sep International
## 189 Delta AirBus 9.50 Oct International
## 190 Delta AirBus 8.33 Sep International
## 191 Virgin AirBus 6.91 Jul International
## 192 Virgin AirBus 6.91 Aug International
## 193 Virgin AirBus 6.91 Sep International
## 194 Virgin AirBus 6.91 Oct International
## 195 Virgin AirBus 6.58 Jul International
## 196 Virgin AirBus 6.58 Aug International
## 197 Virgin AirBus 6.58 Sep International
## 198 Virgin AirBus 6.58 Oct International
## 199 Virgin AirBus 10.41 Jul International
## 200 Virgin AirBus 10.41 Aug International
## 201 Virgin AirBus 10.41 Sep International
## 202 Virgin AirBus 11.33 Aug International
## 203 Virgin AirBus 11.33 Sep International
## 204 Virgin AirBus 7.41 Jul International
## 205 Virgin AirBus 7.41 Aug International
## 206 Virgin AirBus 7.41 Sep International
## 207 Virgin AirBus 7.41 Oct International
## 208 Virgin AirBus 7.08 Jul International
## 209 Virgin AirBus 7.75 Jul International
## 210 Virgin AirBus 7.75 Sep International
## 211 Virgin AirBus 7.75 Oct International
## 212 AirFrance AirBus 9.50 Oct International
## 213 AirFrance AirBus 9.50 Sep International
## 214 AirFrance AirBus 9.50 Aug International
## 215 AirFrance AirBus 8.33 Jul International
## 216 AirFrance AirBus 8.33 Aug International
## 217 AirFrance AirBus 8.33 Sep International
## 218 AirFrance AirBus 8.33 Oct International
## 219 AirFrance AirBus 8.33 Jul International
## 220 AirFrance AirBus 8.33 Aug International
## 221 AirFrance AirBus 8.33 Sep International
## 222 AirFrance AirBus 8.33 Oct International
## 223 AirFrance AirBus 7.33 Aug International
## 224 AirFrance AirBus 7.33 Sep International
## 225 AirFrance AirBus 7.33 Oct International
## 226 AirFrance AirBus 6.83 Sep International
## 227 AirFrance AirBus 6.83 Oct International
## 228 AirFrance AirBus 8.91 Aug International
## 229 AirFrance AirBus 8.91 Sep International
## 230 AirFrance AirBus 8.91 Oct International
## 231 AirFrance AirBus 8.08 Sep International
## 232 AirFrance AirBus 9.18 Jul International
## 233 AirFrance AirBus 9.18 Aug International
## 234 AirFrance AirBus 9.25 Sep International
## 235 AirFrance AirBus 9.25 Oct International
## 236 AirFrance AirBus 9.16 Jul International
## 237 AirFrance AirBus 9.16 Aug International
## 238 AirFrance AirBus 9.25 Sep International
## 239 AirFrance AirBus 9.25 Oct International
## 240 British Boeing 10.41 Aug International
## 241 British Boeing 10.41 Oct International
## 242 British Boeing 10.41 Sep International
## 243 British Boeing 11.00 Aug International
## 244 British Boeing 11.00 Sep International
## 245 British Boeing 11.00 Oct International
## 246 British Boeing 9.91 Jul International
## 247 British Boeing 9.91 Aug International
## 248 British Boeing 9.91 Sep International
## 249 British Boeing 9.91 Oct International
## 250 British Boeing 8.58 Aug International
## 251 British Boeing 8.58 Sep International
## 252 British Boeing 8.58 Oct International
## 253 British Boeing 11.41 Jul International
## 254 British Boeing 11.41 Aug International
## 255 British Boeing 11.41 Sep International
## 256 British Boeing 11.41 Oct International
## 257 British Boeing 9.33 Aug International
## 258 British Boeing 9.33 Sep International
## 259 British Boeing 9.33 Oct International
## 260 British Boeing 8.91 Sep International
## 261 British Boeing 8.66 Aug International
## 262 British Boeing 8.66 Sep International
## 263 British Boeing 8.66 Oct International
## 264 British Boeing 7.25 Aug International
## 265 British Boeing 7.25 Sep International
## 266 British Boeing 7.25 Oct International
## 267 British Boeing 8.91 Aug International
## 268 British Boeing 7.08 Aug International
## 269 British Boeing 7.08 Sep International
## 270 British Boeing 7.08 Oct International
## 271 British Boeing 11.41 Aug International
## 272 British Boeing 11.41 Oct International
## 273 British Boeing 11.41 Jul International
## 274 British Boeing 11.41 Sep International
## 275 British Boeing 8.91 Oct International
## 276 British Boeing 11.08 Jul International
## 277 British Boeing 11.08 Aug International
## 278 British Boeing 11.08 Sep International
## 279 British Boeing 7.08 Sep International
## 280 British Boeing 11.08 Oct International
## 281 Delta Boeing 4.28 Sep Domestic
## 282 Delta Boeing 4.25 Oct Domestic
## 283 Delta Boeing 4.63 Aug Domestic
## 284 Delta Boeing 4.65 Sep Domestic
## 285 Delta Boeing 4.66 Oct Domestic
## 286 Delta Boeing 4.70 Jul Domestic
## 287 Delta Boeing 4.70 Sep Domestic
## 288 Delta Boeing 4.70 Oct Domestic
## 289 Delta Boeing 4.36 Sep Domestic
## 290 Delta Boeing 4.25 Oct Domestic
## 291 Delta Boeing 4.43 Oct Domestic
## 292 Delta Boeing 4.70 Aug Domestic
## 293 Delta Boeing 4.26 Aug Domestic
## 294 Delta Boeing 4.40 Sep Domestic
## 295 Delta Boeing 1.91 Oct Domestic
## 296 Delta AirBus 1.95 Sep Domestic
## 297 Delta AirBus 2.26 Sep Domestic
## 298 Delta AirBus 2.55 Oct Domestic
## 299 Delta Boeing 2.55 Aug Domestic
## 300 Delta Boeing 4.63 Jul Domestic
## 301 Delta Boeing 2.86 Aug Domestic
## 302 Delta AirBus 1.81 Sep Domestic
## 303 Delta AirBus 1.83 Oct Domestic
## 304 Delta Boeing 1.57 Aug Domestic
## 305 Delta Boeing 2.50 Jul Domestic
## 306 Delta AirBus 1.80 Oct Domestic
## 307 Delta Boeing 1.57 Jul Domestic
## 308 Jet AirBus 9.50 Oct International
## 309 Jet AirBus 9.50 Aug International
## 310 Jet AirBus 9.50 Jul International
## 311 Jet AirBus 8.91 Sep International
## 312 Jet AirBus 8.91 Oct International
## 313 Jet AirBus 9.50 Sep International
## 314 Jet AirBus 8.91 Aug International
## 315 Singapore Boeing 13.91 Aug International
## 316 Singapore Boeing 13.91 Sep International
## 317 Singapore Boeing 13.91 Oct International
## 318 Singapore Boeing 13.91 Jul International
## 319 Singapore Boeing 12.41 Aug International
## 320 Singapore Boeing 12.41 Sep International
## 321 Singapore Boeing 12.41 Oct International
## 322 Singapore Boeing 10.83 Jul International
## 323 Singapore Boeing 10.83 Aug International
## 324 Singapore Boeing 10.83 Sep International
## 325 Singapore Boeing 14.66 Aug International
## 326 Singapore Boeing 14.66 Sep International
## 327 Singapore Boeing 14.66 Oct International
## 328 Singapore Boeing 9.66 Aug International
## 329 Singapore Boeing 9.66 Sep International
## 330 Singapore Boeing 9.66 Oct International
## 331 Singapore Boeing 3.83 Jul International
## 332 Singapore Boeing 3.83 Aug International
## 333 Singapore Boeing 3.83 Sep International
## 334 Singapore Boeing 3.83 Oct International
## 335 Singapore Boeing 12.75 Aug International
## 336 Singapore Boeing 12.75 Sep International
## 337 Singapore Boeing 12.75 Oct International
## 338 Singapore Boeing 12.75 Jul International
## 339 AirFrance Boeing 8.33 Aug International
## 340 AirFrance Boeing 8.33 Sep International
## 341 AirFrance Boeing 8.33 Oct International
## 342 AirFrance Boeing 7.50 Oct International
## 343 AirFrance Boeing 6.83 Aug International
## 344 AirFrance Boeing 8.75 Jul International
## 345 AirFrance Boeing 8.75 Aug International
## 346 AirFrance Boeing 8.75 Sep International
## 347 AirFrance Boeing 7.66 Aug International
## 348 AirFrance Boeing 6.83 Sep International
## 349 AirFrance Boeing 6.83 Oct International
## 350 AirFrance Boeing 9.50 Jul International
## 351 AirFrance Boeing 9.50 Aug International
## 352 AirFrance Boeing 9.50 Sep International
## 353 AirFrance Boeing 9.50 Oct International
## 354 AirFrance Boeing 7.75 Jul International
## 355 AirFrance Boeing 7.75 Aug International
## 356 AirFrance Boeing 7.75 Sep International
## 357 AirFrance Boeing 7.83 Oct International
## 358 AirFrance Boeing 9.41 Aug International
## 359 AirFrance Boeing 9.41 Sep International
## 360 AirFrance Boeing 9.41 Oct International
## 361 AirFrance Boeing 11.75 Jul International
## 362 AirFrance Boeing 11.75 Aug International
## 363 AirFrance Boeing 11.91 Jul International
## 364 AirFrance Boeing 11.91 Aug International
## 365 AirFrance Boeing 11.91 Sep International
## 366 AirFrance Boeing 11.91 Oct International
## 367 British Boeing 13.83 Aug International
## 368 British Boeing 13.83 Sep International
## 369 British Boeing 13.83 Oct International
## 370 British Boeing 13.33 Aug International
## 371 British Boeing 13.33 Sep International
## 372 British Boeing 13.33 Oct International
## 373 British Boeing 8.91 Aug International
## 374 British Boeing 8.91 Sep International
## 375 British Boeing 8.91 Oct International
## 376 British Boeing 9.58 Aug International
## 377 British Boeing 9.58 Oct International
## 378 British Boeing 9.58 Sep International
## 379 Jet Boeing 3.25 Aug International
## 380 Jet Boeing 3.25 Sep International
## 381 Jet Boeing 3.25 Oct International
## 382 Jet Boeing 3.25 Jul International
## 383 Jet Boeing 3.25 Oct International
## 384 Jet Boeing 4.16 Jul International
## 385 Jet Boeing 4.16 Oct International
## 386 Jet Boeing 4.08 Aug International
## 387 Jet Boeing 2.50 Jul International
## 388 Jet Boeing 2.50 Sep International
## 389 Jet Boeing 2.50 Oct International
## 390 Jet Boeing 2.66 Jul International
## 391 Jet Boeing 2.66 Sep International
## 392 Jet Boeing 2.66 Oct International
## 393 Jet Boeing 4.16 Aug International
## 394 Jet Boeing 3.25 Aug International
## 395 Jet Boeing 4.08 Sep International
## 396 Jet Boeing 4.16 Oct International
## 397 Jet Boeing 4.16 Sep International
## 398 Jet Boeing 2.50 Aug International
## 399 Jet Boeing 2.66 Aug International
## 400 Jet Boeing 4.33 Jul International
## 401 Jet Boeing 4.33 Aug International
## 402 Jet Boeing 4.33 Sep International
## 403 Jet Boeing 4.33 Oct International
## 404 Jet Boeing 3.25 Sep International
## 405 Jet Boeing 3.25 Jul International
## 406 AirFrance Boeing 6.91 Sep International
## 407 AirFrance Boeing 6.91 Oct International
## 408 AirFrance Boeing 6.91 Aug International
## 409 AirFrance Boeing 6.91 Jul International
## 410 Singapore AirBus 13.33 Jul International
## 411 Singapore AirBus 13.33 Aug International
## 412 Singapore AirBus 13.33 Sep International
## 413 Singapore AirBus 13.33 Oct International
## 414 Singapore AirBus 6.16 Jul International
## 415 Singapore AirBus 6.16 Aug International
## 416 Singapore AirBus 6.16 Sep International
## 417 Singapore AirBus 6.16 Oct International
## 418 Singapore AirBus 12.66 Jul International
## 419 Singapore AirBus 12.66 Aug International
## 420 Singapore AirBus 12.66 Sep International
## 421 Singapore AirBus 12.66 Oct International
## 422 Singapore AirBus 6.50 Jul International
## 423 Singapore AirBus 6.50 Aug International
## 424 Singapore AirBus 6.50 Sep International
## 425 Singapore AirBus 6.50 Oct International
## 426 AirFrance AirBus 13.00 Sep International
## 427 AirFrance AirBus 13.00 Oct International
## 428 AirFrance AirBus 7.50 Aug International
## 429 AirFrance AirBus 7.50 Sep International
## 430 AirFrance Boeing 10.66 Aug International
## 431 AirFrance Boeing 10.66 Sep International
## 432 AirFrance Boeing 10.66 Oct International
## 433 AirFrance AirBus 8.41 Jul International
## 434 AirFrance AirBus 8.50 Aug International
## 435 AirFrance AirBus 8.50 Sep International
## 436 AirFrance Boeing 8.50 Oct International
## 437 AirFrance Boeing 11.50 Sep International
## 438 AirFrance Boeing 11.50 Oct International
## 439 AirFrance AirBus 13.00 Jul International
## 440 Jet Boeing 5.66 Aug International
## 441 Jet Boeing 3.16 Jul International
## 442 Jet Boeing 3.16 Oct International
## 443 Jet Boeing 5.66 Jul International
## 444 Jet Boeing 5.66 Aug International
## 445 Jet Boeing 5.66 Sep International
## 446 Jet Boeing 5.66 Oct International
## 447 Jet Boeing 5.66 Jul International
## 448 Jet Boeing 3.16 Aug International
## 449 Jet Boeing 2.58 Aug International
## 450 Jet Boeing 2.58 Sep International
## 451 Jet Boeing 2.58 Oct International
## 452 Jet Boeing 3.16 Sep International
## 453 Jet Boeing 2.58 Jul International
## 454 Jet Boeing 2.58 Oct International
## 455 Jet Boeing 2.58 Aug International
## 456 Jet Boeing 2.58 Sep International
## 457 Jet Boeing 3.25 Jul International
## 458 Jet Boeing 2.58 Jul International
## SeatsEconomy SeatsPremium PitchEconomy PitchPremium WidthEconomy
## 1 122 40 31 38 18
## 2 122 40 31 38 18
## 3 122 40 31 38 18
## 4 122 40 31 38 18
## 5 122 40 31 38 18
## 6 122 40 31 38 18
## 7 122 40 31 38 18
## 8 122 40 31 38 18
## 9 122 40 31 38 18
## 10 122 40 31 38 18
## 11 122 40 31 38 18
## 12 122 40 31 38 18
## 13 122 40 31 38 18
## 14 122 40 31 38 18
## 15 122 40 31 38 18
## 16 122 40 31 38 18
## 17 122 40 31 38 18
## 18 122 40 31 38 18
## 19 122 40 31 38 18
## 20 122 40 31 38 18
## 21 122 40 31 38 18
## 22 122 40 31 38 18
## 23 122 40 31 38 18
## 24 122 40 31 38 18
## 25 122 40 31 38 18
## 26 122 40 31 38 18
## 27 122 40 31 38 18
## 28 122 40 31 38 18
## 29 122 40 31 38 18
## 30 122 40 31 38 18
## 31 122 40 31 38 18
## 32 122 40 31 38 18
## 33 122 40 31 38 18
## 34 122 40 31 38 18
## 35 122 40 31 38 18
## 36 122 40 31 38 18
## 37 122 40 31 38 18
## 38 122 40 31 38 18
## 39 122 40 31 38 18
## 40 122 40 31 38 18
## 41 122 40 31 38 18
## 42 122 40 31 38 18
## 43 122 40 31 38 18
## 44 122 40 31 38 18
## 45 122 40 31 38 18
## 46 122 40 31 38 18
## 47 122 40 31 38 18
## 48 122 40 31 38 18
## 49 122 40 31 38 18
## 50 122 40 31 38 18
## 51 122 40 31 38 18
## 52 127 39 31 38 18
## 53 127 39 31 38 18
## 54 127 39 31 38 18
## 55 127 39 31 38 18
## 56 127 39 31 38 18
## 57 127 39 31 38 18
## 58 127 39 31 38 18
## 59 127 39 31 38 18
## 60 127 39 31 38 18
## 61 127 39 31 38 18
## 62 185 48 31 38 18
## 63 185 48 31 38 18
## 64 185 48 31 38 18
## 65 185 48 31 38 18
## 66 185 48 31 38 18
## 67 185 48 31 38 18
## 68 185 48 31 38 18
## 69 185 48 31 38 18
## 70 185 48 31 38 18
## 71 185 48 31 38 18
## 72 185 48 31 38 18
## 73 185 48 31 38 18
## 74 78 20 31 34 18
## 75 78 20 31 34 18
## 76 78 20 31 34 18
## 77 78 20 31 34 18
## 78 78 20 31 34 18
## 79 78 20 31 34 18
## 80 78 20 31 34 18
## 81 78 20 31 34 18
## 82 243 56 31 38 18
## 83 243 56 31 38 18
## 84 243 56 31 38 18
## 85 243 56 31 38 18
## 86 243 56 31 38 18
## 87 243 56 31 38 18
## 88 243 56 31 38 18
## 89 243 56 31 38 18
## 90 138 28 30 40 17
## 91 138 28 30 40 17
## 92 138 28 30 40 17
## 93 138 28 30 40 17
## 94 138 28 30 40 17
## 95 138 28 30 40 17
## 96 138 28 30 40 17
## 97 138 28 30 40 17
## 98 132 26 32 34 17
## 99 303 55 31 38 18
## 100 303 55 31 38 18
## 101 303 55 31 38 18
## 102 303 55 31 38 18
## 103 303 55 31 38 18
## 104 303 55 31 38 18
## 105 303 55 31 38 18
## 106 303 55 31 38 18
## 107 303 55 31 38 18
## 108 303 55 31 38 18
## 109 303 55 31 38 18
## 110 303 55 31 38 18
## 111 303 55 31 38 18
## 112 303 55 31 38 18
## 113 303 55 31 38 18
## 114 303 55 31 38 18
## 115 303 55 31 38 18
## 116 303 55 31 38 18
## 117 303 55 31 38 18
## 118 303 55 31 38 18
## 119 303 55 31 38 18
## 120 303 55 31 38 18
## 121 303 55 31 38 18
## 122 303 55 31 38 18
## 123 303 55 31 38 18
## 124 303 55 31 38 18
## 125 303 55 31 38 18
## 126 303 55 31 38 18
## 127 303 55 31 38 18
## 128 303 55 31 38 18
## 129 303 55 31 38 18
## 130 303 55 31 38 18
## 131 303 55 31 38 18
## 132 303 55 31 38 18
## 133 303 55 31 38 18
## 134 303 55 31 38 18
## 135 303 55 31 38 18
## 136 303 55 31 38 18
## 137 303 55 31 38 18
## 138 303 55 31 38 18
## 139 303 55 31 38 18
## 140 303 55 31 38 18
## 141 303 55 31 38 18
## 142 303 55 31 38 18
## 143 303 55 31 38 18
## 144 303 55 31 38 18
## 145 303 55 31 38 18
## 146 303 55 31 38 18
## 147 303 55 31 38 18
## 148 303 55 31 38 18
## 149 303 55 31 38 18
## 150 312 55 31 38 18
## 151 303 55 31 38 18
## 152 171 29 32 35 18
## 153 171 29 32 35 18
## 154 171 29 32 35 18
## 155 171 29 32 35 18
## 156 198 35 31 38 18
## 157 198 35 31 38 18
## 158 198 35 31 38 18
## 159 198 35 31 38 18
## 160 198 35 31 38 18
## 161 198 35 31 38 18
## 162 198 35 31 38 18
## 163 198 35 31 38 18
## 164 375 66 31 38 18
## 165 375 66 31 38 18
## 166 375 66 31 38 18
## 167 375 66 31 38 18
## 168 198 35 31 38 18
## 169 198 35 31 38 18
## 170 198 35 31 38 18
## 171 198 35 31 38 18
## 172 198 35 31 38 18
## 173 198 35 31 38 18
## 174 375 66 31 38 18
## 175 375 66 31 38 18
## 176 375 66 31 38 18
## 177 375 66 31 38 18
## 178 198 35 31 38 18
## 179 198 35 31 38 18
## 180 198 35 31 38 18
## 181 198 35 31 38 18
## 182 198 35 31 38 18
## 183 198 35 31 38 18
## 184 198 35 31 38 18
## 185 233 38 31 38 18
## 186 233 38 31 38 18
## 187 233 38 31 38 18
## 188 233 38 31 38 18
## 189 233 38 31 38 18
## 190 233 38 31 38 18
## 191 233 38 31 38 18
## 192 233 38 31 38 18
## 193 233 38 31 38 18
## 194 233 38 31 38 18
## 195 233 38 31 38 18
## 196 233 38 31 38 18
## 197 233 38 31 38 18
## 198 233 38 31 38 18
## 199 233 38 31 38 18
## 200 233 38 31 38 18
## 201 233 38 31 38 18
## 202 233 38 31 38 18
## 203 233 38 31 38 18
## 204 233 38 31 38 18
## 205 233 38 31 38 18
## 206 233 38 31 38 18
## 207 233 38 31 38 18
## 208 233 38 31 38 18
## 209 233 38 31 38 18
## 210 233 38 31 38 18
## 211 233 38 31 38 18
## 212 147 21 32 38 18
## 213 147 21 32 38 18
## 214 147 21 32 38 18
## 215 147 21 32 38 18
## 216 147 21 32 38 18
## 217 147 21 32 38 18
## 218 147 21 32 38 18
## 219 147 21 32 38 18
## 220 147 21 32 38 18
## 221 147 21 32 38 18
## 222 147 21 32 38 18
## 223 147 21 32 38 18
## 224 147 21 32 38 18
## 225 147 21 32 38 18
## 226 147 21 32 38 18
## 227 147 21 32 38 18
## 228 147 21 32 38 18
## 229 147 21 32 38 18
## 230 147 21 32 38 18
## 231 147 21 32 38 18
## 232 147 21 32 38 18
## 233 147 21 32 38 18
## 234 147 21 32 38 18
## 235 147 21 32 38 18
## 236 147 21 32 38 18
## 237 147 21 32 38 18
## 238 147 21 32 38 18
## 239 147 21 32 38 18
## 240 243 36 31 38 18
## 241 243 36 31 38 18
## 242 243 36 31 38 18
## 243 243 36 31 38 18
## 244 243 36 31 38 18
## 245 243 36 31 38 18
## 246 243 36 31 38 18
## 247 243 36 31 38 18
## 248 243 36 31 38 18
## 249 243 36 31 38 18
## 250 243 36 31 38 18
## 251 243 36 31 38 18
## 252 243 36 31 38 18
## 253 243 36 31 38 18
## 254 243 36 31 38 18
## 255 243 36 31 38 18
## 256 243 36 31 38 18
## 257 243 36 31 38 18
## 258 243 36 31 38 18
## 259 243 36 31 38 18
## 260 243 36 31 38 18
## 261 243 36 31 38 18
## 262 243 36 31 38 18
## 263 243 36 31 38 18
## 264 243 36 31 38 18
## 265 243 36 31 38 18
## 266 243 36 31 38 18
## 267 243 36 31 38 18
## 268 243 36 31 38 18
## 269 243 36 31 38 18
## 270 243 36 31 38 18
## 271 243 36 31 38 18
## 272 243 36 31 38 18
## 273 243 36 31 38 18
## 274 243 36 31 38 18
## 275 243 36 31 38 18
## 276 243 36 31 38 18
## 277 243 36 31 38 18
## 278 243 36 31 38 18
## 279 243 36 31 38 18
## 280 243 36 31 38 18
## 281 126 18 32 34 17
## 282 126 18 32 34 17
## 283 126 18 32 34 17
## 284 126 18 32 34 17
## 285 126 18 32 34 17
## 286 139 21 31 34 17
## 287 139 21 31 34 17
## 288 139 21 31 34 17
## 289 126 18 32 34 17
## 290 126 18 32 34 17
## 291 126 18 32 34 17
## 292 139 21 31 34 17
## 293 126 18 32 34 17
## 294 126 18 32 34 17
## 295 136 20 33 35 17
## 296 120 18 32 34 17
## 297 120 18 32 34 17
## 298 136 20 33 35 17
## 299 136 20 33 35 17
## 300 126 18 32 34 17
## 301 136 20 33 35 17
## 302 120 18 32 34 17
## 303 120 18 32 34 17
## 304 126 18 32 34 17
## 305 136 20 33 35 17
## 306 120 18 32 34 17
## 307 126 18 32 34 17
## 308 147 21 32 38 18
## 309 147 21 32 38 18
## 310 147 21 32 38 18
## 311 147 21 32 38 18
## 312 147 21 32 38 18
## 313 147 21 32 38 18
## 314 147 21 32 38 18
## 315 184 28 32 38 19
## 316 184 28 32 38 19
## 317 184 28 32 38 19
## 318 184 28 32 38 19
## 319 184 28 32 38 19
## 320 184 28 32 38 19
## 321 184 28 32 38 19
## 322 184 28 32 38 19
## 323 184 28 32 38 19
## 324 184 28 32 38 19
## 325 184 28 32 38 19
## 326 184 28 32 38 19
## 327 184 28 32 38 19
## 328 184 28 32 38 19
## 329 184 28 32 38 19
## 330 184 28 32 38 19
## 331 184 28 32 38 19
## 332 184 28 32 38 19
## 333 184 28 32 38 19
## 334 184 28 32 38 19
## 335 184 28 32 38 19
## 336 184 28 32 38 19
## 337 184 28 32 38 19
## 338 184 28 32 38 19
## 339 200 28 32 38 17
## 340 200 28 32 38 17
## 341 200 28 32 38 17
## 342 200 28 32 38 17
## 343 200 28 32 38 17
## 344 200 28 32 38 17
## 345 200 28 32 38 17
## 346 200 28 32 38 17
## 347 200 28 32 38 17
## 348 200 28 32 38 17
## 349 200 28 32 38 17
## 350 200 28 32 38 17
## 351 200 28 32 38 17
## 352 200 28 32 38 17
## 353 200 28 32 38 17
## 354 174 24 32 38 17
## 355 174 24 32 38 17
## 356 174 24 32 38 17
## 357 174 24 32 38 17
## 358 200 28 32 38 17
## 359 200 28 32 38 17
## 360 200 28 32 38 17
## 361 174 24 32 38 17
## 362 174 24 32 38 17
## 363 200 28 32 38 17
## 364 200 28 32 38 17
## 365 200 28 32 38 17
## 366 200 28 32 38 17
## 367 203 24 31 38 18
## 368 203 24 31 38 18
## 369 203 24 31 38 18
## 370 203 24 31 38 18
## 371 203 24 31 38 18
## 372 203 24 31 38 18
## 373 203 24 31 38 18
## 374 203 24 31 38 18
## 375 203 24 31 38 18
## 376 203 24 31 38 18
## 377 203 24 31 38 18
## 378 203 24 31 38 18
## 379 124 16 30 40 17
## 380 124 16 30 40 17
## 381 124 16 30 40 17
## 382 124 16 30 40 17
## 383 124 16 30 40 17
## 384 124 16 30 40 17
## 385 124 16 30 40 17
## 386 124 16 30 40 17
## 387 124 16 30 40 17
## 388 124 16 30 40 17
## 389 124 16 30 40 17
## 390 124 16 30 40 17
## 391 124 16 30 40 17
## 392 124 16 30 40 17
## 393 124 16 30 40 17
## 394 124 16 30 40 17
## 395 124 16 30 40 17
## 396 124 16 30 40 17
## 397 124 16 30 40 17
## 398 124 16 30 40 17
## 399 124 16 30 40 17
## 400 124 16 30 40 17
## 401 124 16 30 40 17
## 402 124 16 30 40 17
## 403 124 16 30 40 17
## 404 124 16 30 40 17
## 405 124 16 30 40 17
## 406 216 24 32 38 17
## 407 216 24 32 38 17
## 408 216 24 32 38 17
## 409 216 24 32 38 17
## 410 333 36 32 38 19
## 411 333 36 32 38 19
## 412 333 36 32 38 19
## 413 333 36 32 38 19
## 414 333 36 32 38 19
## 415 333 36 32 38 19
## 416 333 36 32 38 19
## 417 333 36 32 38 19
## 418 333 36 32 38 19
## 419 333 36 32 38 19
## 420 333 36 32 38 19
## 421 333 36 32 38 19
## 422 333 36 32 38 19
## 423 333 36 32 38 19
## 424 333 36 32 38 19
## 425 333 36 32 38 19
## 426 389 38 32 38 18
## 427 389 38 32 38 18
## 428 389 38 32 38 18
## 429 389 38 32 38 18
## 430 389 38 32 38 18
## 431 389 38 32 38 18
## 432 389 38 32 38 18
## 433 389 38 32 38 18
## 434 389 38 32 38 18
## 435 389 38 32 38 18
## 436 389 38 32 38 18
## 437 389 38 32 38 18
## 438 389 38 32 38 18
## 439 389 38 32 38 18
## 440 162 8 30 40 17
## 441 162 8 30 40 17
## 442 162 8 30 40 17
## 443 162 8 30 40 17
## 444 162 8 30 40 17
## 445 162 8 30 40 17
## 446 162 8 30 40 17
## 447 162 8 30 40 17
## 448 162 8 30 40 17
## 449 162 8 30 40 17
## 450 162 8 30 40 17
## 451 162 8 30 40 17
## 452 162 8 30 40 17
## 453 162 8 30 40 17
## 454 162 8 30 40 17
## 455 162 8 30 40 17
## 456 162 8 30 40 17
## 457 162 8 30 40 17
## 458 162 8 30 40 17
## WidthPremium PriceEconomy PricePremium PriceRelative SeatsTotal
## 1 19 2707 3725 0.38 162
## 2 19 2707 3725 0.38 162
## 3 19 2707 3725 0.38 162
## 4 19 2707 3725 0.38 162
## 5 19 1793 2999 0.67 162
## 6 19 1793 2999 0.67 162
## 7 19 1793 2999 0.67 162
## 8 19 1476 2997 1.03 162
## 9 19 1476 2997 1.03 162
## 10 19 1705 2989 0.75 162
## 11 19 1705 2989 0.75 162
## 12 19 1911 2989 0.56 162
## 13 19 2378 2989 0.26 162
## 14 19 1750 2656 0.52 162
## 15 19 1750 2656 0.52 162
## 16 19 1750 2656 0.52 162
## 17 19 1813 2504 0.38 162
## 18 19 1813 2504 0.38 162
## 19 19 1813 2504 0.38 162
## 20 19 1634 2195 0.34 162
## 21 19 1634 2195 0.34 162
## 22 19 1634 2195 0.34 162
## 23 19 1651 2191 0.33 162
## 24 19 1651 2191 0.33 162
## 25 19 1651 2191 0.33 162
## 26 19 1542 2084 0.35 162
## 27 19 1566 2084 0.33 162
## 28 19 1566 2084 0.33 162
## 29 19 1356 1820 0.34 162
## 30 19 1356 1820 0.34 162
## 31 19 1356 1820 0.34 162
## 32 19 1242 1764 0.42 162
## 33 19 1242 1764 0.42 162
## 34 19 1242 1764 0.42 162
## 35 19 1242 1764 0.42 162
## 36 19 940 1548 0.65 162
## 37 19 940 1548 0.65 162
## 38 19 940 1548 0.65 162
## 39 19 1224 1512 0.24 162
## 40 19 1224 1512 0.24 162
## 41 19 1224 1512 0.24 162
## 42 19 1224 1512 0.24 162
## 43 19 1127 1317 0.17 162
## 44 19 1127 1317 0.17 162
## 45 19 1127 1317 0.17 162
## 46 19 1123 1213 0.08 162
## 47 19 1123 1213 0.08 162
## 48 19 1123 1213 0.08 162
## 49 19 509 773 0.52 162
## 50 19 509 773 0.52 162
## 51 19 509 773 0.52 162
## 52 19 1476 2997 1.03 166
## 53 19 2156 2933 0.36 166
## 54 19 2156 2933 0.36 166
## 55 19 2156 2933 0.36 166
## 56 19 1634 2195 0.34 166
## 57 19 1634 2195 0.34 166
## 58 19 1634 2195 0.34 166
## 59 19 1038 1259 0.21 166
## 60 19 1038 1259 0.21 166
## 61 19 509 818 0.61 166
## 62 21 1813 3128 0.73 233
## 63 21 1813 3128 0.73 233
## 64 21 1813 3128 0.73 233
## 65 21 1813 3128 0.73 233
## 66 21 2052 2856 0.39 233
## 67 21 2052 2856 0.39 233
## 68 21 2052 2856 0.39 233
## 69 21 2052 2856 0.39 233
## 70 21 1919 2409 0.26 233
## 71 21 1919 2409 0.26 233
## 72 21 1919 2409 0.26 233
## 73 21 540 594 0.10 233
## 74 18 158 173 0.09 98
## 75 18 189 204 0.08 98
## 76 18 228 243 0.07 98
## 77 18 222 237 0.07 98
## 78 18 216 231 0.07 98
## 79 18 391 406 0.04 98
## 80 18 349 364 0.04 98
## 81 18 581 596 0.03 98
## 82 19 1444 2982 1.07 299
## 83 19 1444 2982 1.07 299
## 84 19 1444 2982 1.07 299
## 85 19 1444 2982 1.07 299
## 86 19 1824 2549 0.40 299
## 87 19 1824 2549 0.40 299
## 88 19 1824 2549 0.40 299
## 89 19 1823 2548 0.40 299
## 90 21 354 524 0.48 166
## 91 21 354 524 0.48 166
## 92 21 354 524 0.48 166
## 93 21 354 524 0.48 166
## 94 21 464 616 0.33 166
## 95 21 464 616 0.33 166
## 96 21 464 616 0.33 166
## 97 21 489 616 0.26 166
## 98 17 458 497 0.09 158
## 99 19 2384 3563 0.49 358
## 100 19 2384 3563 0.49 358
## 101 19 2384 3563 0.49 358
## 102 19 2384 3563 0.49 358
## 103 19 1848 3536 0.91 358
## 104 19 1848 3536 0.91 358
## 105 19 1848 3536 0.91 358
## 106 19 1848 3536 0.91 358
## 107 19 1758 2592 0.47 358
## 108 19 1758 2592 0.47 358
## 109 19 1758 2592 0.47 358
## 110 19 719 1634 1.27 358
## 111 19 719 1634 1.27 358
## 112 19 1198 1634 0.36 358
## 113 19 457 486 0.06 358
## 114 19 402 442 0.10 358
## 115 19 402 442 0.10 358
## 116 19 392 407 0.04 358
## 117 19 356 396 0.11 358
## 118 19 356 396 0.11 358
## 119 19 322 348 0.08 358
## 120 19 297 323 0.09 358
## 121 19 303 319 0.05 358
## 122 19 303 319 0.05 358
## 123 19 276 306 0.11 358
## 124 19 249 285 0.14 358
## 125 19 238 278 0.17 358
## 126 19 238 276 0.16 358
## 127 19 228 263 0.15 358
## 128 19 231 247 0.07 358
## 129 19 203 238 0.17 358
## 130 19 201 237 0.18 358
## 131 19 207 237 0.14 358
## 132 19 207 234 0.13 358
## 133 19 182 211 0.16 358
## 134 19 171 201 0.18 358
## 135 19 168 198 0.18 358
## 136 19 140 175 0.25 358
## 137 19 147 175 0.20 358
## 138 19 137 172 0.26 358
## 139 19 138 165 0.19 358
## 140 19 126 156 0.23 358
## 141 19 126 156 0.23 358
## 142 19 109 141 0.30 358
## 143 19 109 141 0.30 358
## 144 19 109 141 0.30 358
## 145 19 104 131 0.25 358
## 146 19 97 125 0.29 358
## 147 19 77 99 0.29 358
## 148 19 77 99 0.29 358
## 149 19 69 97 0.40 358
## 150 19 74 97 0.31 367
## 151 19 65 86 0.33 358
## 152 18 298 337 0.13 200
## 153 18 423 467 0.10 200
## 154 18 483 527 0.09 200
## 155 18 713 757 0.06 200
## 156 21 574 1619 1.82 233
## 157 21 574 1619 1.82 233
## 158 21 574 1619 1.82 233
## 159 21 574 1619 1.82 233
## 160 21 1086 2964 1.73 233
## 161 21 1086 2964 1.73 233
## 162 21 1086 2964 1.73 233
## 163 21 1247 2964 1.38 233
## 164 21 1781 3509 0.97 441
## 165 21 1781 3509 0.97 441
## 166 21 1781 3509 0.97 441
## 167 21 1781 3509 0.97 441
## 168 21 1580 3019 0.91 233
## 169 21 1580 3019 0.91 233
## 170 21 1580 3019 0.91 233
## 171 21 1580 3019 0.91 233
## 172 21 1903 3509 0.84 233
## 173 21 1096 1710 0.56 233
## 174 21 2445 3694 0.51 441
## 175 21 2445 3694 0.51 441
## 176 21 2445 3694 0.51 441
## 177 21 2445 3694 0.51 441
## 178 21 975 1465 0.50 233
## 179 21 2369 3540 0.49 233
## 180 21 1811 2531 0.40 233
## 181 21 1811 2531 0.40 233
## 182 21 1811 2531 0.40 233
## 183 21 1811 2531 0.40 233
## 184 21 1356 1710 0.26 233
## 185 21 1778 2588 0.46 271
## 186 21 1778 2588 0.46 271
## 187 21 1999 2765 0.38 271
## 188 21 1999 2765 0.38 271
## 189 21 1999 2765 0.38 271
## 190 21 1985 2588 0.30 271
## 191 21 1434 2982 1.08 271
## 192 21 1434 2982 1.08 271
## 193 21 1434 2982 1.08 271
## 194 21 1434 2982 1.08 271
## 195 21 1476 2997 1.03 271
## 196 21 1476 2997 1.03 271
## 197 21 1476 2997 1.03 271
## 198 21 1476 2997 1.03 271
## 199 21 1903 3509 0.84 271
## 200 21 1903 3509 0.84 271
## 201 21 1903 3509 0.84 271
## 202 21 2369 3540 0.49 271
## 203 21 2369 3540 0.49 271
## 204 21 1767 2499 0.41 271
## 205 21 1767 2499 0.41 271
## 206 21 1767 2499 0.41 271
## 207 21 1767 2499 0.41 271
## 208 21 1919 2409 0.26 271
## 209 21 540 594 0.10 271
## 210 21 540 594 0.10 271
## 211 21 540 594 0.10 271
## 212 19 630 1611 1.56 168
## 213 19 743 1611 1.17 168
## 214 19 990 1611 0.63 168
## 215 19 2659 2859 0.08 168
## 216 19 2659 2859 0.08 168
## 217 19 2659 2859 0.08 168
## 218 19 2659 2859 0.08 168
## 219 19 2659 2859 0.08 168
## 220 19 2659 2859 0.08 168
## 221 19 2659 2859 0.08 168
## 222 19 2659 2859 0.08 168
## 223 19 2607 2807 0.08 168
## 224 19 2607 2807 0.08 168
## 225 19 2607 2807 0.08 168
## 226 19 2860 3063 0.07 168
## 227 19 2860 3063 0.07 168
## 228 19 2609 2787 0.07 168
## 229 19 2609 2787 0.07 168
## 230 19 2609 2787 0.07 168
## 231 19 2813 2922 0.04 168
## 232 19 3165 3275 0.03 168
## 233 19 3165 3275 0.03 168
## 234 19 3165 3275 0.03 168
## 235 19 3165 3275 0.03 168
## 236 19 3165 3275 0.03 168
## 237 19 3165 3275 0.03 168
## 238 19 3165 3275 0.03 168
## 239 19 3165 3275 0.03 168
## 240 19 1651 3509 1.13 279
## 241 19 1651 3509 1.13 279
## 242 19 2775 3509 0.26 279
## 243 19 2230 3227 0.45 279
## 244 19 2230 3227 0.45 279
## 245 19 2230 3227 0.45 279
## 246 19 2356 3200 0.36 279
## 247 19 2356 3200 0.36 279
## 248 19 2356 3200 0.36 279
## 249 19 2356 3200 0.36 279
## 250 19 1562 3099 0.98 279
## 251 19 1562 3099 0.98 279
## 252 19 1562 3099 0.98 279
## 253 19 2281 3025 0.33 279
## 254 19 2281 3025 0.33 279
## 255 19 2281 3025 0.33 279
## 256 19 2281 3025 0.33 279
## 257 19 1813 2472 0.36 279
## 258 19 1813 2472 0.36 279
## 259 19 1813 2472 0.36 279
## 260 19 1140 2423 1.13 279
## 261 19 1609 2292 0.42 279
## 262 19 1609 2292 0.42 279
## 263 19 1609 2292 0.42 279
## 264 19 1632 2278 0.40 279
## 265 19 1632 2278 0.40 279
## 266 19 1632 2278 0.40 279
## 267 19 1140 2049 0.80 279
## 268 19 1736 1866 0.07 279
## 269 19 1736 1866 0.07 279
## 270 19 1736 1866 0.07 279
## 271 19 846 1784 1.11 279
## 272 19 846 1784 1.11 279
## 273 19 937 1784 0.91 279
## 274 19 1485 1784 0.20 279
## 275 19 891 1603 0.80 279
## 276 19 1323 1550 0.17 279
## 277 19 1023 1199 0.17 279
## 278 19 1023 1199 0.17 279
## 279 19 757 912 0.21 279
## 280 19 533 837 0.57 279
## 281 17 288 327 0.14 144
## 282 17 288 327 0.14 144
## 283 17 363 407 0.12 144
## 284 17 363 407 0.12 144
## 285 17 363 407 0.12 144
## 286 17 413 457 0.11 160
## 287 17 413 457 0.11 160
## 288 17 413 457 0.11 160
## 289 17 413 457 0.11 144
## 290 17 413 457 0.11 144
## 291 17 340 379 0.11 144
## 292 17 423 467 0.10 160
## 293 17 328 362 0.10 144
## 294 17 328 362 0.10 144
## 295 17 166 181 0.09 156
## 296 17 166 181 0.09 138
## 297 17 329 354 0.08 138
## 298 17 243 262 0.08 156
## 299 17 243 262 0.08 156
## 300 17 626 670 0.07 144
## 301 17 354 378 0.07 156
## 302 17 293 308 0.05 138
## 303 17 293 308 0.05 138
## 304 17 293 308 0.05 144
## 305 17 636 660 0.04 156
## 306 17 416 431 0.04 138
## 307 17 349 364 0.04 144
## 308 19 336 841 1.50 168
## 309 19 429 841 0.96 168
## 310 19 462 841 0.82 168
## 311 19 557 789 0.42 168
## 312 19 557 789 0.42 168
## 313 19 661 928 0.40 168
## 314 19 676 931 0.38 168
## 315 20 794 1671 1.11 212
## 316 20 794 1452 0.83 212
## 317 20 794 1452 0.83 212
## 318 20 794 1408 0.77 212
## 319 20 1215 1947 0.60 212
## 320 20 1215 1947 0.60 212
## 321 20 1215 1947 0.60 212
## 322 20 876 1356 0.55 212
## 323 20 609 900 0.48 212
## 324 20 609 900 0.48 212
## 325 20 1406 1584 0.13 212
## 326 20 1406 1584 0.13 212
## 327 20 1406 1584 0.13 212
## 328 20 1247 1407 0.13 212
## 329 20 1247 1407 0.13 212
## 330 20 1247 1407 0.13 212
## 331 20 563 619 0.10 212
## 332 20 563 619 0.10 212
## 333 20 563 619 0.10 212
## 334 20 563 619 0.10 212
## 335 20 1431 1564 0.09 212
## 336 20 1431 1564 0.09 212
## 337 20 1431 1564 0.09 212
## 338 20 1431 1564 0.09 212
## 339 19 2918 3972 0.36 228
## 340 19 2918 3972 0.36 228
## 341 19 2918 3972 0.36 228
## 342 19 2581 2781 0.08 228
## 343 19 2860 3063 0.07 228
## 344 19 3026 3226 0.07 228
## 345 19 3026 3226 0.07 228
## 346 19 3026 3226 0.07 228
## 347 19 3057 3167 0.04 228
## 348 19 3057 3167 0.04 228
## 349 19 3057 3167 0.04 228
## 350 19 3414 3524 0.03 228
## 351 19 3414 3524 0.03 228
## 352 19 3414 3524 0.03 228
## 353 19 3414 3524 0.03 228
## 354 19 3215 3325 0.03 198
## 355 19 3215 3325 0.03 198
## 356 19 3215 3325 0.03 198
## 357 19 3215 3325 0.03 198
## 358 19 3480 3589 0.03 228
## 359 19 3480 3589 0.03 228
## 360 19 3480 3589 0.03 228
## 361 19 3593 3702 0.03 198
## 362 19 3593 3702 0.03 198
## 363 19 3159 3243 0.03 228
## 364 19 3159 3243 0.03 228
## 365 19 3159 3243 0.03 228
## 366 19 3159 3243 0.03 228
## 367 19 3102 7414 1.39 227
## 368 19 3102 7414 1.39 227
## 369 19 3102 7414 1.39 227
## 370 19 2166 2470 0.14 227
## 371 19 2166 2470 0.14 227
## 372 19 2166 2470 0.14 227
## 373 19 649 1152 0.77 227
## 374 19 575 853 0.48 227
## 375 19 575 853 0.48 227
## 376 19 797 826 0.04 227
## 377 19 524 797 0.52 227
## 378 19 582 797 0.37 227
## 379 21 167 483 1.89 140
## 380 21 167 483 1.89 140
## 381 21 167 483 1.89 140
## 382 21 139 398 1.87 140
## 383 21 149 398 1.67 140
## 384 21 197 520 1.64 140
## 385 21 211 534 1.53 140
## 386 21 139 318 1.29 140
## 387 21 118 267 1.26 140
## 388 21 118 267 1.26 140
## 389 21 118 267 1.26 140
## 390 21 108 228 1.11 140
## 391 21 108 228 1.11 140
## 392 21 108 228 1.11 140
## 393 21 297 620 1.09 140
## 394 21 234 483 1.06 140
## 395 21 156 318 1.04 140
## 396 21 156 318 1.04 140
## 397 21 324 620 0.91 140
## 398 21 147 267 0.81 140
## 399 21 127 228 0.79 140
## 400 21 154 267 0.74 140
## 401 21 154 267 0.74 140
## 402 21 154 267 0.74 140
## 403 21 154 267 0.74 140
## 404 21 322 483 0.50 140
## 405 21 594 696 0.17 140
## 406 19 648 1710 1.64 240
## 407 19 648 1710 1.64 240
## 408 19 700 1710 1.44 240
## 409 19 1094 1710 0.56 240
## 410 20 505 1004 0.99 369
## 411 20 505 1004 0.99 369
## 412 20 505 1004 0.99 369
## 413 20 505 1004 0.99 369
## 414 20 505 1004 0.99 369
## 415 20 505 1004 0.99 369
## 416 20 505 1004 0.99 369
## 417 20 505 1004 0.99 369
## 418 20 690 1110 0.61 369
## 419 20 690 1110 0.61 369
## 420 20 690 1110 0.61 369
## 421 20 690 1110 0.61 369
## 422 20 690 1110 0.61 369
## 423 20 690 1110 0.61 369
## 424 20 690 1110 0.61 369
## 425 20 690 1110 0.61 369
## 426 19 1522 3289 1.16 427
## 427 19 1522 3289 1.16 427
## 428 19 2581 2781 0.08 427
## 429 19 2581 2781 0.08 427
## 430 19 2996 3196 0.07 427
## 431 19 2996 3196 0.07 427
## 432 19 2996 3196 0.07 427
## 433 19 2979 3088 0.04 427
## 434 19 2979 3088 0.04 427
## 435 19 2979 3088 0.04 427
## 436 19 2979 3088 0.04 427
## 437 19 3593 3702 0.03 427
## 438 19 3593 3702 0.03 427
## 439 19 3220 3289 0.02 427
## 440 21 201 545 1.71 170
## 441 21 148 397 1.68 170
## 442 21 148 397 1.68 170
## 443 21 187 430 1.30 170
## 444 21 187 430 1.30 170
## 445 21 187 430 1.30 170
## 446 21 187 430 1.30 170
## 447 21 245 545 1.22 170
## 448 21 234 483 1.07 170
## 449 21 172 304 0.77 170
## 450 21 172 304 0.77 170
## 451 21 172 304 0.77 170
## 452 21 293 483 0.65 170
## 453 21 281 451 0.60 170
## 454 21 295 464 0.58 170
## 455 21 380 550 0.45 170
## 456 21 380 550 0.45 170
## 457 21 505 696 0.38 170
## 458 21 510 569 0.12 170
## PitchDifference WidthDifference PercentPremiumSeats
## 1 7 1 24.69
## 2 7 1 24.69
## 3 7 1 24.69
## 4 7 1 24.69
## 5 7 1 24.69
## 6 7 1 24.69
## 7 7 1 24.69
## 8 7 1 24.69
## 9 7 1 24.69
## 10 7 1 24.69
## 11 7 1 24.69
## 12 7 1 24.69
## 13 7 1 24.69
## 14 7 1 24.69
## 15 7 1 24.69
## 16 7 1 24.69
## 17 7 1 24.69
## 18 7 1 24.69
## 19 7 1 24.69
## 20 7 1 24.69
## 21 7 1 24.69
## 22 7 1 24.69
## 23 7 1 24.69
## 24 7 1 24.69
## 25 7 1 24.69
## 26 7 1 24.69
## 27 7 1 24.69
## 28 7 1 24.69
## 29 7 1 24.69
## 30 7 1 24.69
## 31 7 1 24.69
## 32 7 1 24.69
## 33 7 1 24.69
## 34 7 1 24.69
## 35 7 1 24.69
## 36 7 1 24.69
## 37 7 1 24.69
## 38 7 1 24.69
## 39 7 1 24.69
## 40 7 1 24.69
## 41 7 1 24.69
## 42 7 1 24.69
## 43 7 1 24.69
## 44 7 1 24.69
## 45 7 1 24.69
## 46 7 1 24.69
## 47 7 1 24.69
## 48 7 1 24.69
## 49 7 1 24.69
## 50 7 1 24.69
## 51 7 1 24.69
## 52 7 1 23.49
## 53 7 1 23.49
## 54 7 1 23.49
## 55 7 1 23.49
## 56 7 1 23.49
## 57 7 1 23.49
## 58 7 1 23.49
## 59 7 1 23.49
## 60 7 1 23.49
## 61 7 1 23.49
## 62 7 3 20.60
## 63 7 3 20.60
## 64 7 3 20.60
## 65 7 3 20.60
## 66 7 3 20.60
## 67 7 3 20.60
## 68 7 3 20.60
## 69 7 3 20.60
## 70 7 3 20.60
## 71 7 3 20.60
## 72 7 3 20.60
## 73 7 3 20.60
## 74 3 0 20.41
## 75 3 0 20.41
## 76 3 0 20.41
## 77 3 0 20.41
## 78 3 0 20.41
## 79 3 0 20.41
## 80 3 0 20.41
## 81 3 0 20.41
## 82 7 1 18.73
## 83 7 1 18.73
## 84 7 1 18.73
## 85 7 1 18.73
## 86 7 1 18.73
## 87 7 1 18.73
## 88 7 1 18.73
## 89 7 1 18.73
## 90 10 4 16.87
## 91 10 4 16.87
## 92 10 4 16.87
## 93 10 4 16.87
## 94 10 4 16.87
## 95 10 4 16.87
## 96 10 4 16.87
## 97 10 4 16.87
## 98 2 0 16.46
## 99 7 1 15.36
## 100 7 1 15.36
## 101 7 1 15.36
## 102 7 1 15.36
## 103 7 1 15.36
## 104 7 1 15.36
## 105 7 1 15.36
## 106 7 1 15.36
## 107 7 1 15.36
## 108 7 1 15.36
## 109 7 1 15.36
## 110 7 1 15.36
## 111 7 1 15.36
## 112 7 1 15.36
## 113 7 1 15.36
## 114 7 1 15.36
## 115 7 1 15.36
## 116 7 1 15.36
## 117 7 1 15.36
## 118 7 1 15.36
## 119 7 1 15.36
## 120 7 1 15.36
## 121 7 1 15.36
## 122 7 1 15.36
## 123 7 1 15.36
## 124 7 1 15.36
## 125 7 1 15.36
## 126 7 1 15.36
## 127 7 1 15.36
## 128 7 1 15.36
## 129 7 1 15.36
## 130 7 1 15.36
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## 212 6 1 12.50
## 213 6 1 12.50
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## 216 6 1 12.50
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## 219 6 1 12.50
## 220 6 1 12.50
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## 222 6 1 12.50
## 223 6 1 12.50
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## 281 2 0 12.50
## 282 2 0 12.50
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## 301 2 0 12.82
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## 303 2 0 13.04
## 304 2 0 12.50
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## 320 6 1 13.21
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## 322 6 1 13.21
## 323 6 1 13.21
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## 327 6 1 13.21
## 328 6 1 13.21
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## 335 6 1 13.21
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## 339 6 2 12.28
## 340 6 2 12.28
## 341 6 2 12.28
## 342 6 2 12.28
## 343 6 2 12.28
## 344 6 2 12.28
## 345 6 2 12.28
## 346 6 2 12.28
## 347 6 2 12.28
## 348 6 2 12.28
## 349 6 2 12.28
## 350 6 2 12.28
## 351 6 2 12.28
## 352 6 2 12.28
## 353 6 2 12.28
## 354 6 2 12.12
## 355 6 2 12.12
## 356 6 2 12.12
## 357 6 2 12.12
## 358 6 2 12.28
## 359 6 2 12.28
## 360 6 2 12.28
## 361 6 2 12.12
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## 364 6 2 12.28
## 365 6 2 12.28
## 366 6 2 12.28
## 367 7 1 10.57
## 368 7 1 10.57
## 369 7 1 10.57
## 370 7 1 10.57
## 371 7 1 10.57
## 372 7 1 10.57
## 373 7 1 10.57
## 374 7 1 10.57
## 375 7 1 10.57
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## 379 10 4 11.43
## 380 10 4 11.43
## 381 10 4 11.43
## 382 10 4 11.43
## 383 10 4 11.43
## 384 10 4 11.43
## 385 10 4 11.43
## 386 10 4 11.43
## 387 10 4 11.43
## 388 10 4 11.43
## 389 10 4 11.43
## 390 10 4 11.43
## 391 10 4 11.43
## 392 10 4 11.43
## 393 10 4 11.43
## 394 10 4 11.43
## 395 10 4 11.43
## 396 10 4 11.43
## 397 10 4 11.43
## 398 10 4 11.43
## 399 10 4 11.43
## 400 10 4 11.43
## 401 10 4 11.43
## 402 10 4 11.43
## 403 10 4 11.43
## 404 10 4 11.43
## 405 10 4 11.43
## 406 6 2 10.00
## 407 6 2 10.00
## 408 6 2 10.00
## 409 6 2 10.00
## 410 6 1 9.76
## 411 6 1 9.76
## 412 6 1 9.76
## 413 6 1 9.76
## 414 6 1 9.76
## 415 6 1 9.76
## 416 6 1 9.76
## 417 6 1 9.76
## 418 6 1 9.76
## 419 6 1 9.76
## 420 6 1 9.76
## 421 6 1 9.76
## 422 6 1 9.76
## 423 6 1 9.76
## 424 6 1 9.76
## 425 6 1 9.76
## 426 6 1 8.90
## 427 6 1 8.90
## 428 6 1 8.90
## 429 6 1 8.90
## 430 6 1 8.90
## 431 6 1 8.90
## 432 6 1 8.90
## 433 6 1 8.90
## 434 6 1 8.90
## 435 6 1 8.90
## 436 6 1 8.90
## 437 6 1 8.90
## 438 6 1 8.90
## 439 6 1 8.90
## 440 10 4 4.71
## 441 10 4 4.71
## 442 10 4 4.71
## 443 10 4 4.71
## 444 10 4 4.71
## 445 10 4 4.71
## 446 10 4 4.71
## 447 10 4 4.71
## 448 10 4 4.71
## 449 10 4 4.71
## 450 10 4 4.71
## 451 10 4 4.71
## 452 10 4 4.71
## 453 10 4 4.71
## 454 10 4 4.71
## 455 10 4 4.71
## 456 10 4 4.71
## 457 10 4 4.71
## 458 10 4 4.71#Task 2 Summarize the data to understand the mean, median, standard deviation of each variable
summary(airlinesdata)## Airline Aircraft FlightDuration TravelMonth
## AirFrance: 74 AirBus:151 Min. : 1.250 Aug:127
## British :175 Boeing:307 1st Qu.: 4.260 Jul: 75
## Delta : 46 Median : 7.790 Oct:127
## Jet : 61 Mean : 7.578 Sep:129
## Singapore: 40 3rd Qu.:10.620
## Virgin : 62 Max. :14.660
## IsInternational SeatsEconomy SeatsPremium PitchEconomy
## Domestic : 40 Min. : 78.0 Min. : 8.00 Min. :30.00
## International:418 1st Qu.:133.0 1st Qu.:21.00 1st Qu.:31.00
## Median :185.0 Median :36.00 Median :31.00
## Mean :202.3 Mean :33.65 Mean :31.22
## 3rd Qu.:243.0 3rd Qu.:40.00 3rd Qu.:32.00
## Max. :389.0 Max. :66.00 Max. :33.00
## PitchPremium WidthEconomy WidthPremium PriceEconomy
## Min. :34.00 Min. :17.00 Min. :17.00 Min. : 65
## 1st Qu.:38.00 1st Qu.:18.00 1st Qu.:19.00 1st Qu.: 413
## Median :38.00 Median :18.00 Median :19.00 Median :1242
## Mean :37.91 Mean :17.84 Mean :19.47 Mean :1327
## 3rd Qu.:38.00 3rd Qu.:18.00 3rd Qu.:21.00 3rd Qu.:1909
## Max. :40.00 Max. :19.00 Max. :21.00 Max. :3593
## PricePremium PriceRelative SeatsTotal PitchDifference
## Min. : 86.0 Min. :0.0200 Min. : 98 Min. : 2.000
## 1st Qu.: 528.8 1st Qu.:0.1000 1st Qu.:166 1st Qu.: 6.000
## Median :1737.0 Median :0.3650 Median :227 Median : 7.000
## Mean :1845.3 Mean :0.4872 Mean :236 Mean : 6.688
## 3rd Qu.:2989.0 3rd Qu.:0.7400 3rd Qu.:279 3rd Qu.: 7.000
## Max. :7414.0 Max. :1.8900 Max. :441 Max. :10.000
## WidthDifference PercentPremiumSeats
## Min. :0.000 Min. : 4.71
## 1st Qu.:1.000 1st Qu.:12.28
## Median :1.000 Median :13.21
## Mean :1.633 Mean :14.65
## 3rd Qu.:3.000 3rd Qu.:15.36
## Max. :4.000 Max. :24.69library(psych)
describe(airlinesdata)## vars n mean sd median trimmed mad min
## Airline* 1 458 3.01 1.65 2.00 2.89 1.48 1.00
## Aircraft* 2 458 1.67 0.47 2.00 1.71 0.00 1.00
## FlightDuration 3 458 7.58 3.54 7.79 7.57 4.81 1.25
## TravelMonth* 4 458 2.56 1.17 3.00 2.58 1.48 1.00
## IsInternational* 5 458 1.91 0.28 2.00 2.00 0.00 1.00
## SeatsEconomy 6 458 202.31 76.37 185.00 194.64 85.99 78.00
## SeatsPremium 7 458 33.65 13.26 36.00 33.35 11.86 8.00
## PitchEconomy 8 458 31.22 0.66 31.00 31.26 0.00 30.00
## PitchPremium 9 458 37.91 1.31 38.00 38.05 0.00 34.00
## WidthEconomy 10 458 17.84 0.56 18.00 17.81 0.00 17.00
## WidthPremium 11 458 19.47 1.10 19.00 19.53 0.00 17.00
## PriceEconomy 12 458 1327.08 988.27 1242.00 1244.40 1159.39 65.00
## PricePremium 13 458 1845.26 1288.14 1737.00 1799.05 1845.84 86.00
## PriceRelative 14 458 0.49 0.45 0.36 0.42 0.41 0.02
## SeatsTotal 15 458 235.96 85.29 227.00 228.73 90.44 98.00
## PitchDifference 16 458 6.69 1.76 7.00 6.76 0.00 2.00
## WidthDifference 17 458 1.63 1.19 1.00 1.53 0.00 0.00
## PercentPremiumSeats 18 458 14.65 4.84 13.21 14.31 2.68 4.71
## max range skew kurtosis se
## Airline* 6.00 5.00 0.61 -0.95 0.08
## Aircraft* 2.00 1.00 -0.72 -1.48 0.02
## FlightDuration 14.66 13.41 -0.07 -1.12 0.17
## TravelMonth* 4.00 3.00 -0.14 -1.46 0.05
## IsInternational* 2.00 1.00 -2.91 6.50 0.01
## SeatsEconomy 389.00 311.00 0.72 -0.36 3.57
## SeatsPremium 66.00 58.00 0.23 -0.46 0.62
## PitchEconomy 33.00 3.00 -0.03 -0.35 0.03
## PitchPremium 40.00 6.00 -1.51 3.52 0.06
## WidthEconomy 19.00 2.00 -0.04 -0.08 0.03
## WidthPremium 21.00 4.00 -0.08 -0.31 0.05
## PriceEconomy 3593.00 3528.00 0.51 -0.88 46.18
## PricePremium 7414.00 7328.00 0.50 0.43 60.19
## PriceRelative 1.89 1.87 1.17 0.72 0.02
## SeatsTotal 441.00 343.00 0.70 -0.53 3.99
## PitchDifference 10.00 8.00 -0.54 1.78 0.08
## WidthDifference 4.00 4.00 0.84 -0.53 0.06
## PercentPremiumSeats 24.69 19.98 0.71 0.28 0.23#Task3 Draw Box Plots / Bar Plots to visualize the distribution of each variable independently
library(lattice)
histogram(~as.factor(airlinesdata$Airline),xlab="Airlines")
histogram(~as.factor(airlinesdata$Aircraft),xlab="Aircraft")
boxplot(airlinesdata$FlightDuration,data=airlinesdata, main="Distribution of flight duration", xlab="Flight Duration", ylab="Time in min", varwidth=TRUE)
histogram(~as.factor(airlinesdata$IsInternational),xlab="Is the flight international")
boxplot(airlinesdata$SeatsEconomy,data=airlinesdata, main="Distribution of Seats Economy", xlab="Economy Seats", ylab="No of Seats", varwidth=TRUE)
boxplot(airlinesdata$SeatsPremium,data=airlinesdata, main="Distribution of Seats Premium", xlab="Premium Seats", ylab="No of Seats", varwidth=TRUE)
boxplot(airlinesdata$PitchEconomy,data=airlinesdata, main="Distribution of Distance between two consecutive Economy Seats", xlab="PitchEconomy", ylab="Distance", varwidth=TRUE)
boxplot(airlinesdata$PitchPremium,data=airlinesdata, main="Distribution of Distance between two consecutive Premium Seats", xlab="PitchPremium", ylab="Distance", varwidth=TRUE)
#Task4 Draw Scatter Plots to understand how are the variables correlated pair-wise
#relative pricing vs airlines
library(lattice)
boxplot(airlinesdata$PriceRelative~airlinesdata$Airline,data=airlinesdata,main="Comparision of Relative pricing with different airlines",xlab="Airlines",ylab="RelativePrice",varwidth=TRUE)
#Airlines is an important factor
#JetAirways has highest relative pricing and Airfrance has lowest relative pricing
#relative pricing vs Aircraft
library(car)##
## Attaching package: 'car'## The following object is masked from 'package:psych':
##
## logitscatterplot(airlinesdata$PriceRelative~airlinesdata$Aircraft,main="Scatterplot of Price Relative wrt Aircraft ",xlab="Aircraft", ylab="Price Relative")
## [1] "212" "308" "156" "157" "158" "159" "379" "380" "381" "382"#has weak statistical correlation
#relative pricing vs travelmonth
scatterplot(airlinesdata$PriceRelative~airlinesdata$TravelMonth,main="Scatterplot of Price relative pricing vs.Travel Month ",xlab="Month of Travel",ylab="relative pricing")
## [1] "157" "160" "379" "440" "159" "162" "381" "158" "161" "380" "406"#not strong correlation
#relative pricing vs Flight Duration
scatterplot(airlinesdata$PriceRelative~airlinesdata$FlightDuration,main="Scatterplot of relative pricing vs.Flight Duration ",xlab="Flight Duration",ylab="relative pricing")
#has strong correlation
#relative pricing vs IsInternational
scatterplot(airlinesdata$PriceRelative~airlinesdata$IsInternational,main="Scatterplot of relative pricing vs.International ",xlab="Is it international",ylab="relative pricing")
## [1] "156" "157" "158" "159" "379" "380" "381" "382"#has strong correlation
#relative pricing vs Economy pitch
scatterplot(airlinesdata$PriceRelative~airlinesdata$PitchEconomy,main="Scatterplot of relative pricing vs.Pitch Economy ",xlab="Pitch Economy",ylab="relative pricing")
#relative pricing vs Pitch Premium
scatterplot(airlinesdata$PriceRelative~airlinesdata$PitchPremium,main="Scatterplot of relative pricing vs.Pitch Premium ",xlab="Pitch Premium",ylab="relative pricing")
#relative pricing vs Pitch Difference
scatterplot(airlinesdata$PriceRelative~airlinesdata$PitchDifference,main="Scatterplot of relative pricing vs.Pitch Difference ",
xlab="Pitch Difference",ylab="relative pricing")
#relative pricing vs Width Economy
scatterplot(airlinesdata$PriceRelative~airlinesdata$WidthEconomy,main="Scatterplot of relative pricing vs.Width Economy ",xlab="Width Economy",ylab="relative pricing")
#relative pricing vs Width Premium
scatterplot(airlinesdata$PriceRelative~airlinesdata$WidthPremium, main="Scatterplot of relative pricing vs.Width Premium ", xlab="Width Premium",ylab="relative pricing")
#relative pricing vs.Width Difference
scatterplot(airlinesdata$PriceRelative~airlinesdata$WidthDifference,main="Scatterplot of relative pricing vs.Width Difference ", xlab="Width Difference", ylab="relative pricing")
#relative pricing vs.Seats Economy
scatterplot(airlinesdata$PriceRelative~airlinesdata$SeatsEconomy, main="Scatterplot of relative pricing vs.Seats Economy ", xlab="SeatsEconomy", ylab="relative pricing")
#Factors affecting relative pricing
#1.Airline 2.Flightduration 3.IsInternational 4.Pitch Economy 5.Pitch Difference 6.Pitch Premium 7.Width Premium #task 5 Draw a Corrgram; Create a Variance-Covariance Matrix
library(corrgram)
corrgram(airlinesdata, order=FALSE, lower.panel=panel.shade,upper.panel=panel.pie, text.panel=panel.txt,main="Corrgram of All Variables")
#Positive corelation with PriceRelative:
#1.Airline 2.Flight duration 3.IsInternational 4.Pitch Premium 5.Pitch Difference #6.Width Premium 7.Width Difference
#Negative corelation with PriceRelative:
#1.Pitch Economy 2.Width Economy#task 6 Articulate a Hypothesis (or two) that you could test using a Regression Model
#Null Hyhothesis 1 :- Relative pricing does not depends on Flight duration.
#task 7 Run T-Tests appropriate, to test your Hypotheses
t.test(airlinesdata$PriceRelative, airlinesdata$FlightDuration)##
## Welch Two Sample t-test
##
## data: airlinesdata$PriceRelative and airlinesdata$FlightDuration
## t = -42.499, df = 471.79, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -7.418482 -6.762785
## sample estimates:
## mean of x mean of y
## 0.4872052 7.5778384#p value is less than 0.05.
#Rejecting the null hypothesis.
#So there is a significant difference between the prices of Tickets and Flight Duration.
#task 6 Articulate a Hypothesis (or two) that you could test using a Regression Model
#Null Hyhothesis 2 :- There is no significance between price of economy and premium
#task 7 Run T-Tests appropriate, to test your Hypotheses
t.test(airlinesdata$PriceEconomy ,airlinesdata$PricePremium)##
## Welch Two Sample t-test
##
## data: airlinesdata$PriceEconomy and airlinesdata$PricePremium
## t = -6.8304, df = 856.56, p-value = 1.605e-11
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -667.0831 -369.2793
## sample estimates:
## mean of x mean of y
## 1327.076 1845.258#p value is less than 0.05
#Rejecting the Null value
#So there is a significance difference between prices of economy and premium class#task 8
#Formulate a Regression Model:
#y = b0 + b1*x1 + b2*x2 + ...
#Think about what should 'y' be?
#Think about what could x = {x1, x2, ...} be?
#Regression model:
#y = Relative price
#dependent variables x = Airline, Flightduration, IsInternational, PitchEconomy, PitchDifference, PitchPremium, WidthPremium, WidthDifference
#model: y = a*Airline + b*Flightduration + c*IsInternational + d*PitchEconomy + e*PitchDifference + f*PitchPremium + g*WidthPremium #task 9 Fit a Linear Regression Model using lm()
airlinesdata$Airline <- as.numeric(as.factor(airlinesdata$Airline))
airlinesdata$Airline <- as.factor(airlinesdata$Airline)
airlinesdata$Airline## [1] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## [36] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 6 6 6 6 6 6 6 6 6
## [71] 6 6 6 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 4 4 4 4 4 4 4 4 3 2 2 2 2 2 2 2
## [106] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## [141] 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
## [176] 6 6 6 6 6 6 6 6 6 3 3 3 3 3 3 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
## [211] 6 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2
## [246] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## [281] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 5
## [316] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 1 1 1 1 1 1 1
## [351] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 4 4 4 4 4 4 4
## [386] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 1 1 1 1 5 5 5 5 5 5 5 5 5 5 5
## [421] 5 5 5 5 5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [456] 4 4 4
## Levels: 1 2 3 4 5 6airlinesdata$IsInternational <- as.numeric(as.factor(airlinesdata$IsInternational))
airlinesdata$IsInternational <- as.factor(airlinesdata$IsInternational)
model <- lm(PriceRelative ~Airline + FlightDuration + IsInternational + PitchEconomy + PitchPremium + WidthEconomy + WidthPremium, data=airlinesdata)
summary(model)##
## Call:
## lm(formula = PriceRelative ~ Airline + FlightDuration + IsInternational +
## PitchEconomy + PitchPremium + WidthEconomy + WidthPremium,
## data = airlinesdata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.8159 -0.1933 -0.0549 0.1009 1.4689
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.904967 4.976180 -0.182 0.855775
## Airline2 0.250299 0.159931 1.565 0.118283
## Airline3 0.061917 0.354717 0.175 0.861510
## Airline4 0.534838 0.140825 3.798 0.000166 ***
## Airline5 0.322987 0.204182 1.582 0.114390
## Airline6 0.417100 0.326186 1.279 0.201661
## FlightDuration 0.036153 0.006173 5.856 9.2e-09 ***
## IsInternational2 -0.406100 0.399055 -1.018 0.309394
## PitchEconomy -0.055148 0.133621 -0.413 0.680012
## PitchPremium 0.085155 0.151506 0.562 0.574361
## WidthEconomy -0.073197 0.078098 -0.937 0.349140
## WidthPremium 0.052925 0.222769 0.238 0.812319
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.36 on 446 degrees of freedom
## Multiple R-squared: 0.3772, Adjusted R-squared: 0.3618
## F-statistic: 24.55 on 11 and 446 DF, p-value: < 2.2e-16model$coefficients## (Intercept) Airline2 Airline3 Airline4
## -0.90496697 0.25029934 0.06191693 0.53483769
## Airline5 Airline6 FlightDuration IsInternational2
## 0.32298704 0.41709999 0.03615307 -0.40609991
## PitchEconomy PitchPremium WidthEconomy WidthPremium
## -0.05514750 0.08515457 -0.07319684 0.05292480#task 10 Use this model results to test your Hypotheses and draw inferences
#inference
#We can conclude that relative price of tickets vary on all the 8 factors
#1.Airline
#2.Flightduration
#3.IsInternational
#4.PitchEconomy
#5.PitchDifference
#6.PitchPremium
#7.WidthPremium