A assignment
Don Gustafson
December 7, 2018
A Assignment
First we will read in some packages
library(readr)
library(ggplot2)
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionThen we import the data and read it into a data frame that we call hotels. It’s what you would call trivial data since I am not yet at a point where I found any data sets that satified my academic interests.
The data was originally seperated with semi-colons and I massaged it a little by bringing it into Excel and converting it.
hotels <- read_csv("LasVegasTripAdvisorReviews-Dataset.csv")## Parsed with column specification:
## cols(
## .default = col_character(),
## `Nr. reviews` = col_integer(),
## `Nr. hotel reviews` = col_integer(),
## `Helpful votes` = col_integer(),
## Score = col_integer(),
## `Hotel stars` = col_integer(),
## `Nr. rooms` = col_integer(),
## `Member years` = col_integer()
## )## See spec(...) for full column specifications.We issue a command to report the dimensions of the data set. We have 504 observations of 20 variables.
dim(hotels)## [1] 504 20Here we see the names of the columns or variables.
names(hotels)## [1] "User country" "Nr. reviews" "Nr. hotel reviews"
## [4] "Helpful votes" "Score" "Period of stay"
## [7] "Traveler type" "Pool" "Gym"
## [10] "Tennis court" "Spa" "Casino"
## [13] "Free internet" "Hotel name" "Hotel stars"
## [16] "Nr. rooms" "User continent" "Member years"
## [19] "Review month" "Review weekday"Here we see a summary of the data set, it shows some basic summary statistics.
summary(hotels)## User country Nr. reviews Nr. hotel reviews Helpful votes
## Length:504 Min. : 1.00 Min. : 0.00 Min. : 0.00
## Class :character 1st Qu.: 12.00 1st Qu.: 5.00 1st Qu.: 8.00
## Mode :character Median : 23.50 Median : 9.00 Median : 16.00
## Mean : 48.13 Mean : 16.02 Mean : 31.75
## 3rd Qu.: 54.25 3rd Qu.: 18.00 3rd Qu.: 35.00
## Max. :775.00 Max. :263.00 Max. :365.00
##
## Score Period of stay Traveler type Pool
## Min. :1.000 Length:504 Length:504 Length:504
## 1st Qu.:4.000 Class :character Class :character Class :character
## Median :4.000 Mode :character Mode :character Mode :character
## Mean :4.123
## 3rd Qu.:5.000
## Max. :5.000
##
## Gym Tennis court Spa
## Length:504 Length:504 Length:504
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## Casino Free internet Hotel name Hotel stars
## Length:504 Length:504 Length:504 Min. :3.000
## Class :character Class :character Class :character 1st Qu.:3.000
## Mode :character Mode :character Mode :character Median :4.000
## Mean :4.048
## 3rd Qu.:5.000
## Max. :5.000
##
## Nr. rooms User continent Member years Review month
## Min. : 315 Length:504 Min. :-1806.0000 Length:504
## 1st Qu.:1467 Class :character 1st Qu.: 2.0000 Class :character
## Median :2916 Mode :character Median : 4.0000 Mode :character
## Mean :2541 Mean : -0.0686
## 3rd Qu.:3348 3rd Qu.: 7.0000
## Max. :4027 Max. : 13.0000
## NA's :96 NA's :96
## Review weekday
## Length:504
## Class :character
## Mode :character
##
##
##
## Here we see the structure of the data frame.
str(hotels)## Classes 'tbl_df', 'tbl' and 'data.frame': 504 obs. of 20 variables:
## $ User country : chr "USA" "USA" "USA" "UK" ...
## $ Nr. reviews : int 11 119 36 14 5 31 45 2 24 12 ...
## $ Nr. hotel reviews: int 4 21 9 7 5 8 12 1 3 7 ...
## $ Helpful votes : int 13 75 25 14 2 27 46 4 8 11 ...
## $ Score : int 5 3 5 4 4 3 4 4 4 3 ...
## $ Period of stay : chr "Dec-Feb" "Dec-Feb" "Mar-May" "Mar-May" ...
## $ Traveler type : chr "Friends" "Business" "Families" "Friends" ...
## $ Pool : chr "NO" "NO" "NO" "NO" ...
## $ Gym : chr "YES" "YES" "YES" "YES" ...
## $ Tennis court : chr "NO" "NO" "NO" "NO" ...
## $ Spa : chr "NO" "NO" "NO" "NO" ...
## $ Casino : chr "YES" "YES" "YES" "YES" ...
## $ Free internet : chr "YES" "YES" "YES" "YES" ...
## $ Hotel name : chr "Circus Circus Hotel & Casino Las Vegas" "Circus Circus Hotel & Casino Las Vegas" "Circus Circus Hotel & Casino Las Vegas" "Circus Circus Hotel & Casino Las Vegas" ...
## $ Hotel stars : int 3 3 3 3 3 3 3 3 3 3 ...
## $ Nr. rooms : int 3773 3773 3773 3773 3773 3773 3773 3773 3773 3773 ...
## $ User continent : chr "North America" "North America" "North America" "Europe" ...
## $ Member years : int 9 3 2 6 7 2 4 0 3 5 ...
## $ Review month : chr "January" "January" "February" "February" ...
## $ Review weekday : chr "Thursday" "Friday" "Saturday" "Friday" ...
## - attr(*, "spec")=List of 2
## ..$ cols :List of 20
## .. ..$ User country : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Nr. reviews : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Nr. hotel reviews: list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Helpful votes : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Score : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Period of stay : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Traveler type : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Pool : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Gym : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Tennis court : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Spa : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Casino : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Free internet : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Hotel name : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Hotel stars : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Nr. rooms : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ User continent : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Member years : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Review month : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Review weekday : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## ..$ default: list()
## .. ..- attr(*, "class")= chr "collector_guess" "collector"
## ..- attr(*, "class")= chr "col_spec"Here we see the attributes of the data
attributes(hotels)## $names
## [1] "User country" "Nr. reviews" "Nr. hotel reviews"
## [4] "Helpful votes" "Score" "Period of stay"
## [7] "Traveler type" "Pool" "Gym"
## [10] "Tennis court" "Spa" "Casino"
## [13] "Free internet" "Hotel name" "Hotel stars"
## [16] "Nr. rooms" "User continent" "Member years"
## [19] "Review month" "Review weekday"
##
## $row.names
## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
## [18] 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
## [35] 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51
## [52] 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68
## [69] 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85
## [86] 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102
## [103] 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119
## [120] 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136
## [137] 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153
## [154] 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170
## [171] 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187
## [188] 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204
## [205] 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221
## [222] 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238
## [239] 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255
## [256] 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272
## [273] 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289
## [290] 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306
## [307] 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323
## [324] 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
## [341] 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357
## [358] 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374
## [375] 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391
## [392] 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408
## [409] 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425
## [426] 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442
## [443] 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459
## [460] 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476
## [477] 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493
## [494] 494 495 496 497 498 499 500 501 502 503 504
##
## $class
## [1] "tbl_df" "tbl" "data.frame"
##
## $spec
## cols(
## `User country` = col_character(),
## `Nr. reviews` = col_integer(),
## `Nr. hotel reviews` = col_integer(),
## `Helpful votes` = col_integer(),
## Score = col_integer(),
## `Period of stay` = col_character(),
## `Traveler type` = col_character(),
## Pool = col_character(),
## Gym = col_character(),
## `Tennis court` = col_character(),
## Spa = col_character(),
## Casino = col_character(),
## `Free internet` = col_character(),
## `Hotel name` = col_character(),
## `Hotel stars` = col_integer(),
## `Nr. rooms` = col_integer(),
## `User continent` = col_character(),
## `Member years` = col_integer(),
## `Review month` = col_character(),
## `Review weekday` = col_character()
## )We do a correlation test between two variables. We would like to see if there is a relationship between the hotel size (number of rooms) and the rating it got (Score). It shows that there is not much of a correlation. Maybe size doesn’t really matter.
cor.test(hotels$`Nr. rooms`, hotels$Score, method = "pearson")##
## Pearson's product-moment correlation
##
## data: hotels$`Nr. rooms` and hotels$Score
## t = -1.0042, df = 406, p-value = 0.3159
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.14615212 0.04754064
## sample estimates:
## cor
## -0.04977373Show the class of the variable Score.
class(hotels$Score)## [1] "integer"A report of the scores shown in a table.
table(hotels$Score)##
## 1 2 3 4 5
## 11 30 72 164 227A simple pie chart of the distributions of Scores.
pie(table(hotels$Score))
A bar chart of the Scores.
barplot(table(hotels$Score))