class: center, middle, inverse, title-slide # Introduction to R the Tidy Way ## Data Wrangling ### Mine Dogucu ### 2020-03-05 --- layout: true <!-- This file by Mine Dogucu is licensed under a Attribution-ShareAlike 2.5 Generic License (CC BY-SA 2.5) More information about the license can be found at https://creativecommons.org/licenses/by-sa/2.5/ --> <div class="my-header"></div> <div class="my-footer"> CC BY-SA <a href="https://mdogucu.ics.uci.edu">Mine Dogucu</a></div> --- class: center, middle ## License <img src="img/cc-sa.png" width="100%" /> More information can be found [here](https://creativecommons.org/licenses/by-sa/2.5/) --- --- class:center middle ## Reality of life A dataset is never in the format or the shape ready to analyze. --- ## Getting to Know the Data - On the Cloud, open `3-wrange.Rmd`. - Run the code chunks already provided to you. - The dataset `titanic` is provided to you. - Get to know this data, number of observations, number of observations. - Ignore the `original_titanic` for now. This dataset is exactly the same as `titanic`. We will save it for later. --- ## Titanic variables `PassengerId` - Passenger ID `Survived` - Passenger Survival Indicator `Pclass` - Passenger Class `Name` - Name `Sex` - Sex `Age` - Age `SibSp` - Number of Siblings/Spouses Aboard `Parch` - Number of Parents/Children Aboard `Ticket` - Ticket Number `Fare` - Passenger Fare `Cabin` - Cabin `Embarked` - Port of Embarkation .footnote[from `titanic` package] --- ## mutate() `mutate()` is a function used to create new variables (or overwrite old ones). We can create a new variable called `age_today` for Titanic passenger to see how old the passengers would be today. Titanic sank 108 years ago. That would mean we would add 108 to `Age`. --- ## mutate() We need to tell R 1. to mutate - `mutate()` 2. the data frame - `titanic` 3. the name of the new variable - `age_today` 4. the relationship between the new variable to the old variable `age + 108` ```r mutate(titanic, age_new = Age + 108) ``` --- ## mutate() Note that the previous code has not changed anything in the titanic data frame in your Environment. --- ## mutate() Before we do the right thing, let's take a different approach ```r titanic2 <- mutate(titanic, age_new = Age + 108) ``` Note that titanic2 data frame does have the age_new variable. --- ## mutate() If we were to adopt this approach, by the end of data wrangling and before the analysis, we would have `titanic323232392352` so instead we can do: ```r titanic <- mutate(titanic, age_new = Age + 108) ``` This would overwrite the old titanic dataset. --- ## Attempt at Making a Boxplot Attempt at making boxplots that compares the fare paid for tickets based on passenger's class. In other words, you should have three boxplots next to each other, one for passengers in first class, another one for passengers in second class, and a third one for passengers in third class. Your code will not work. --- ``` ## Warning: Continuous x aesthetic -- did you forget aes(group=...)? ``` <img src="3-wrangling_files/figure-html/unnamed-chunk-6-1.png" style="display: block; margin: auto;" /> --- ## Variable types in R <table> <th> Variable type </th> <th> Example values</th> <th> Example</th> <tr> <td> logical </td> <td> TRUE FALSE</td> <td> chocolate variable in candy_rankings data</td> </tr> <tr> <td> character </td> <td> "Braund, Mr.Owen Harris"</td> <td> name variable in titanic</td> </tr> <tr> <td> factor </td> <td> "S", "C", "Q" </td> <td> Embarked variable in titanic (should be factor but currently is not)</td> </tr> <tr> <td> integer </td> <td> 0L, 1L, 3L, 13L, </td> <td> SibSp variable in titanic </td> </tr> <tr> <td> numeric </td> <td> 7.25, 13, 53.1 </td> <td> Fare variable in titanic </td> </tr> </table> .footnote[There are more but for now we are focusing on these. ] --- class: middle ## To-do list <table> <th> Variable </th> <th> Currently </th> <th> Should be </th> <tr> <td> Survived</td> <td> integer</td> <td> logical</td> </tr> <tr> <td> Pclass</td> <td> integer</td> <td> ?</td> </tr> <tr> <td> Embarked</td> <td> character</td> <td> ?</td> </tr> </table> .footnote[There are more problems with the variable. For now we are focusing on these.] --- ## mutate() ```r titanic <- mutate(titanic, Survived = as.logical(Survived)) ``` Note that we are again using the trick of overwriting. Instead of creating a new variable Survived_logical we are instead, overwriting to the old Survived variable. The function `as.logical()` makes a variable a logical type. --- ## Practice Make necesarry changes to `Pclass` and `Embarked` variables based on our discussion of their types. I have only provided you with `as.logical()` function but the others will be very similar. --- ## Pause and share When do you think you would use `mutate()` in your own data analysis? --- ## titanic over and over We keep overwriting titanic all the time. Repeating tasks can be annoying and time-consuming. There is a solution to that. --- ## The big picture <table> <th> Input data </th> <th> Function </th> <th> Output (Saved) Data </th> <tr> <td style="background-color:lightblue;"> titanic </td> <td style="background-color:white;"> mutate to create age_today</td> <td style="background-color:red;"> titanic with age_today</td> </tr> <tr> <td style="background-color:red;"> titanic with age_today</td> <td style="background-color:white;"> mutate to make Survived logical</td> <td style="background-color:green;"> titanic with age_today and logical Survived</td> </tr> <tr> <td style="background-color:green;"> titanic with age_today and logical Survived</td> <td style="background-color:white;"> mutate to make Pclass factor</td> <td style="background-color:violet;"> titanic with age_today, logical Survived, and factor Pclass</td> </tr> <tr> <td style="background-color:violet;"> titanic with age_today, logical Survived, and factor Pclass</td> <td style="background-color:white;"> mutate to make Embarked factor</td> <td style="background-color:orange;"> titanic with age_today, logical Survived, factor Pclass, factor Embarked</td> </tr> </table> --- The repetation is that we are writing a data frame __and then__ using it again. Note the colors in the previous table. Life would be great if we could get rid of repeating colors. --- ## Ideal <table> <th> Input data </th> <th> Function </th> <th> </th> <tr> <td style="background-color:lightblue;"> titanic </td> <td style="background-color:white;"> mutate to create age_today</td> <td style="background-color:white;"> and then</td> </tr> <tr> <td style="background-color:white;"></td> <td style="background-color:white;"> mutate to make Survived logical</td> <td style="background-color:white;"> and then</td> </tr> <tr> <td style="background-color:white;"> </td> <td style="background-color:white;"> mutate to make Pclass factor</td> <td style="background-color:white;"> and then </td> </tr> <tr> <td style="background-color:white;"> </td> <td style="background-color:white;"> mutate to make Embarked factor</td> <td style="background-color:orange;"> titanic with age_today, logical Survived, factor Pclass, factor Embarked</td> </tr> </table> This way we only have one input data and one output data --- ## Pipe %>% We can achieve "and then"s with a pipe operator. Remember that `original_titanic` is as same as the `titanic` we have started with. ```r original_titanic %>% mutate(age_new = Age + 108) %>% mutate(Survived = as.logical(Survived)) %>% mutate(Pclass = as.factor(Pclass)) %>% mutate(Embarked = as.factor(Embarked)) ``` Essentially what pipe operator does is, it takes the output of the function preceding it and then makes it the first argument of the following function. __Shortcut:__ Ctrl+Shift+M (Windows) and Cmd+Shift+M (Mac) --- ## Practice Can you write the following code with pipe operator? ```r round(mean(c(2,2,4))) ``` ``` ## [1] 3 ``` --- We will return to using the `titanic` dataset, as we have already done many mutations already. Moving forward we will adopt the pipe operator into our workflow. --- ## Renaming variables Working with secondary data may also mean working with variables such as Q234P18 which has no meaning for the data analyst. In such cases using `rename()` to rename variables can be a good idea. It is not really useful in this case but it will be useful in the future. ```r titanic %>% rename(passenger_id = PassengerId) ``` ``` ## passenger_id Survived Pclass ## 1 1 FALSE 3 ## 2 2 TRUE 1 ## 3 3 TRUE 3 ## 4 4 TRUE 1 ## 5 5 FALSE 3 ## 6 6 FALSE 3 ## 7 7 FALSE 1 ## 8 8 FALSE 3 ## 9 9 TRUE 3 ## 10 10 TRUE 2 ## 11 11 TRUE 3 ## 12 12 TRUE 1 ## 13 13 FALSE 3 ## 14 14 FALSE 3 ## 15 15 FALSE 3 ## 16 16 TRUE 2 ## 17 17 FALSE 3 ## 18 18 TRUE 2 ## 19 19 FALSE 3 ## 20 20 TRUE 3 ## 21 21 FALSE 2 ## 22 22 TRUE 2 ## 23 23 TRUE 3 ## 24 24 TRUE 1 ## 25 25 FALSE 3 ## 26 26 TRUE 3 ## 27 27 FALSE 3 ## 28 28 FALSE 1 ## 29 29 TRUE 3 ## 30 30 FALSE 3 ## 31 31 FALSE 1 ## 32 32 TRUE 1 ## 33 33 TRUE 3 ## 34 34 FALSE 2 ## 35 35 FALSE 1 ## 36 36 FALSE 1 ## 37 37 TRUE 3 ## 38 38 FALSE 3 ## 39 39 FALSE 3 ## 40 40 TRUE 3 ## 41 41 FALSE 3 ## 42 42 FALSE 2 ## 43 43 FALSE 3 ## 44 44 TRUE 2 ## 45 45 TRUE 3 ## 46 46 FALSE 3 ## 47 47 FALSE 3 ## 48 48 TRUE 3 ## 49 49 FALSE 3 ## 50 50 FALSE 3 ## 51 51 FALSE 3 ## 52 52 FALSE 3 ## 53 53 TRUE 1 ## 54 54 TRUE 2 ## 55 55 FALSE 1 ## 56 56 TRUE 1 ## 57 57 TRUE 2 ## 58 58 FALSE 3 ## 59 59 TRUE 2 ## 60 60 FALSE 3 ## 61 61 FALSE 3 ## 62 62 TRUE 1 ## 63 63 FALSE 1 ## 64 64 FALSE 3 ## 65 65 FALSE 1 ## 66 66 TRUE 3 ## 67 67 TRUE 2 ## 68 68 FALSE 3 ## 69 69 TRUE 3 ## 70 70 FALSE 3 ## 71 71 FALSE 2 ## 72 72 FALSE 3 ## 73 73 FALSE 2 ## 74 74 FALSE 3 ## 75 75 TRUE 3 ## 76 76 FALSE 3 ## 77 77 FALSE 3 ## 78 78 FALSE 3 ## 79 79 TRUE 2 ## 80 80 TRUE 3 ## 81 81 FALSE 3 ## 82 82 TRUE 3 ## 83 83 TRUE 3 ## 84 84 FALSE 1 ## 85 85 TRUE 2 ## 86 86 TRUE 3 ## 87 87 FALSE 3 ## 88 88 FALSE 3 ## 89 89 TRUE 1 ## 90 90 FALSE 3 ## 91 91 FALSE 3 ## 92 92 FALSE 3 ## 93 93 FALSE 1 ## 94 94 FALSE 3 ## 95 95 FALSE 3 ## 96 96 FALSE 3 ## 97 97 FALSE 1 ## 98 98 TRUE 1 ## 99 99 TRUE 2 ## 100 100 FALSE 2 ## 101 101 FALSE 3 ## 102 102 FALSE 3 ## 103 103 FALSE 1 ## 104 104 FALSE 3 ## 105 105 FALSE 3 ## 106 106 FALSE 3 ## 107 107 TRUE 3 ## 108 108 TRUE 3 ## 109 109 FALSE 3 ## 110 110 TRUE 3 ## 111 111 FALSE 1 ## 112 112 FALSE 3 ## 113 113 FALSE 3 ## 114 114 FALSE 3 ## 115 115 FALSE 3 ## 116 116 FALSE 3 ## 117 117 FALSE 3 ## 118 118 FALSE 2 ## 119 119 FALSE 1 ## 120 120 FALSE 3 ## 121 121 FALSE 2 ## 122 122 FALSE 3 ## 123 123 FALSE 2 ## 124 124 TRUE 2 ## 125 125 FALSE 1 ## 126 126 TRUE 3 ## 127 127 FALSE 3 ## 128 128 TRUE 3 ## 129 129 TRUE 3 ## 130 130 FALSE 3 ## 131 131 FALSE 3 ## 132 132 FALSE 3 ## 133 133 FALSE 3 ## 134 134 TRUE 2 ## 135 135 FALSE 2 ## 136 136 FALSE 2 ## 137 137 TRUE 1 ## 138 138 FALSE 1 ## 139 139 FALSE 3 ## 140 140 FALSE 1 ## 141 141 FALSE 3 ## 142 142 TRUE 3 ## 143 143 TRUE 3 ## 144 144 FALSE 3 ## 145 145 FALSE 2 ## 146 146 FALSE 2 ## 147 147 TRUE 3 ## 148 148 FALSE 3 ## 149 149 FALSE 2 ## 150 150 FALSE 2 ## 151 151 FALSE 2 ## 152 152 TRUE 1 ## 153 153 FALSE 3 ## 154 154 FALSE 3 ## 155 155 FALSE 3 ## 156 156 FALSE 1 ## 157 157 TRUE 3 ## 158 158 FALSE 3 ## 159 159 FALSE 3 ## 160 160 FALSE 3 ## 161 161 FALSE 3 ## 162 162 TRUE 2 ## 163 163 FALSE 3 ## 164 164 FALSE 3 ## 165 165 FALSE 3 ## 166 166 TRUE 3 ## 167 167 TRUE 1 ## 168 168 FALSE 3 ## 169 169 FALSE 1 ## 170 170 FALSE 3 ## 171 171 FALSE 1 ## 172 172 FALSE 3 ## 173 173 TRUE 3 ## 174 174 FALSE 3 ## 175 175 FALSE 1 ## 176 176 FALSE 3 ## 177 177 FALSE 3 ## 178 178 FALSE 1 ## 179 179 FALSE 2 ## 180 180 FALSE 3 ## 181 181 FALSE 3 ## 182 182 FALSE 2 ## 183 183 FALSE 3 ## 184 184 TRUE 2 ## 185 185 TRUE 3 ## 186 186 FALSE 1 ## 187 187 TRUE 3 ## 188 188 TRUE 1 ## 189 189 FALSE 3 ## 190 190 FALSE 3 ## 191 191 TRUE 2 ## 192 192 FALSE 2 ## 193 193 TRUE 3 ## 194 194 TRUE 2 ## 195 195 TRUE 1 ## 196 196 TRUE 1 ## 197 197 FALSE 3 ## 198 198 FALSE 3 ## 199 199 TRUE 3 ## 200 200 FALSE 2 ## 201 201 FALSE 3 ## 202 202 FALSE 3 ## 203 203 FALSE 3 ## 204 204 FALSE 3 ## 205 205 TRUE 3 ## 206 206 FALSE 3 ## 207 207 FALSE 3 ## 208 208 TRUE 3 ## 209 209 TRUE 3 ## 210 210 TRUE 1 ## 211 211 FALSE 3 ## 212 212 TRUE 2 ## 213 213 FALSE 3 ## 214 214 FALSE 2 ## 215 215 FALSE 3 ## 216 216 TRUE 1 ## 217 217 TRUE 3 ## 218 218 FALSE 2 ## 219 219 TRUE 1 ## 220 220 FALSE 2 ## 221 221 TRUE 3 ## 222 222 FALSE 2 ## 223 223 FALSE 3 ## 224 224 FALSE 3 ## 225 225 TRUE 1 ## 226 226 FALSE 3 ## 227 227 TRUE 2 ## 228 228 FALSE 3 ## 229 229 FALSE 2 ## 230 230 FALSE 3 ## 231 231 TRUE 1 ## 232 232 FALSE 3 ## 233 233 FALSE 2 ## 234 234 TRUE 3 ## 235 235 FALSE 2 ## 236 236 FALSE 3 ## 237 237 FALSE 2 ## 238 238 TRUE 2 ## 239 239 FALSE 2 ## 240 240 FALSE 2 ## 241 241 FALSE 3 ## 242 242 TRUE 3 ## 243 243 FALSE 2 ## 244 244 FALSE 3 ## 245 245 FALSE 3 ## 246 246 FALSE 1 ## 247 247 FALSE 3 ## 248 248 TRUE 2 ## 249 249 TRUE 1 ## 250 250 FALSE 2 ## 251 251 FALSE 3 ## 252 252 FALSE 3 ## 253 253 FALSE 1 ## 254 254 FALSE 3 ## 255 255 FALSE 3 ## 256 256 TRUE 3 ## 257 257 TRUE 1 ## 258 258 TRUE 1 ## 259 259 TRUE 1 ## 260 260 TRUE 2 ## 261 261 FALSE 3 ## 262 262 TRUE 3 ## 263 263 FALSE 1 ## 264 264 FALSE 1 ## 265 265 FALSE 3 ## 266 266 FALSE 2 ## 267 267 FALSE 3 ## 268 268 TRUE 3 ## 269 269 TRUE 1 ## 270 270 TRUE 1 ## 271 271 FALSE 1 ## 272 272 TRUE 3 ## 273 273 TRUE 2 ## 274 274 FALSE 1 ## 275 275 TRUE 3 ## 276 276 TRUE 1 ## 277 277 FALSE 3 ## 278 278 FALSE 2 ## 279 279 FALSE 3 ## 280 280 TRUE 3 ## 281 281 FALSE 3 ## 282 282 FALSE 3 ## 283 283 FALSE 3 ## 284 284 TRUE 3 ## 285 285 FALSE 1 ## 286 286 FALSE 3 ## 287 287 TRUE 3 ## 288 288 FALSE 3 ## 289 289 TRUE 2 ## 290 290 TRUE 3 ## 291 291 TRUE 1 ## 292 292 TRUE 1 ## 293 293 FALSE 2 ## 294 294 FALSE 3 ## 295 295 FALSE 3 ## 296 296 FALSE 1 ## 297 297 FALSE 3 ## 298 298 FALSE 1 ## 299 299 TRUE 1 ## 300 300 TRUE 1 ## 301 301 TRUE 3 ## 302 302 TRUE 3 ## 303 303 FALSE 3 ## 304 304 TRUE 2 ## 305 305 FALSE 3 ## 306 306 TRUE 1 ## 307 307 TRUE 1 ## 308 308 TRUE 1 ## 309 309 FALSE 2 ## 310 310 TRUE 1 ## 311 311 TRUE 1 ## 312 312 TRUE 1 ## 313 313 FALSE 2 ## 314 314 FALSE 3 ## 315 315 FALSE 2 ## 316 316 TRUE 3 ## 317 317 TRUE 2 ## 318 318 FALSE 2 ## 319 319 TRUE 1 ## 320 320 TRUE 1 ## 321 321 FALSE 3 ## 322 322 FALSE 3 ## 323 323 TRUE 2 ## 324 324 TRUE 2 ## 325 325 FALSE 3 ## 326 326 TRUE 1 ## 327 327 FALSE 3 ## 328 328 TRUE 2 ## 329 329 TRUE 3 ## 330 330 TRUE 1 ## 331 331 TRUE 3 ## 332 332 FALSE 1 ## 333 333 FALSE 1 ## 334 334 FALSE 3 ## 335 335 TRUE 1 ## 336 336 FALSE 3 ## 337 337 FALSE 1 ## 338 338 TRUE 1 ## 339 339 TRUE 3 ## 340 340 FALSE 1 ## 341 341 TRUE 2 ## 342 342 TRUE 1 ## 343 343 FALSE 2 ## 344 344 FALSE 2 ## 345 345 FALSE 2 ## 346 346 TRUE 2 ## 347 347 TRUE 2 ## 348 348 TRUE 3 ## 349 349 TRUE 3 ## 350 350 FALSE 3 ## 351 351 FALSE 3 ## 352 352 FALSE 1 ## 353 353 FALSE 3 ## 354 354 FALSE 3 ## 355 355 FALSE 3 ## 356 356 FALSE 3 ## 357 357 TRUE 1 ## 358 358 FALSE 2 ## 359 359 TRUE 3 ## 360 360 TRUE 3 ## 361 361 FALSE 3 ## 362 362 FALSE 2 ## 363 363 FALSE 3 ## 364 364 FALSE 3 ## 365 365 FALSE 3 ## 366 366 FALSE 3 ## 367 367 TRUE 1 ## 368 368 TRUE 3 ## 369 369 TRUE 3 ## 370 370 TRUE 1 ## 371 371 TRUE 1 ## 372 372 FALSE 3 ## 373 373 FALSE 3 ## 374 374 FALSE 1 ## 375 375 FALSE 3 ## 376 376 TRUE 1 ## 377 377 TRUE 3 ## 378 378 FALSE 1 ## 379 379 FALSE 3 ## 380 380 FALSE 3 ## 381 381 TRUE 1 ## 382 382 TRUE 3 ## 383 383 FALSE 3 ## 384 384 TRUE 1 ## 385 385 FALSE 3 ## 386 386 FALSE 2 ## 387 387 FALSE 3 ## 388 388 TRUE 2 ## 389 389 FALSE 3 ## 390 390 TRUE 2 ## 391 391 TRUE 1 ## 392 392 TRUE 3 ## 393 393 FALSE 3 ## 394 394 TRUE 1 ## 395 395 TRUE 3 ## 396 396 FALSE 3 ## 397 397 FALSE 3 ## 398 398 FALSE 2 ## 399 399 FALSE 2 ## 400 400 TRUE 2 ## 401 401 TRUE 3 ## 402 402 FALSE 3 ## 403 403 FALSE 3 ## 404 404 FALSE 3 ## 405 405 FALSE 3 ## 406 406 FALSE 2 ## 407 407 FALSE 3 ## 408 408 TRUE 2 ## 409 409 FALSE 3 ## 410 410 FALSE 3 ## 411 411 FALSE 3 ## 412 412 FALSE 3 ## 413 413 TRUE 1 ## 414 414 FALSE 2 ## 415 415 TRUE 3 ## 416 416 FALSE 3 ## 417 417 TRUE 2 ## 418 418 TRUE 2 ## 419 419 FALSE 2 ## 420 420 FALSE 3 ## 421 421 FALSE 3 ## 422 422 FALSE 3 ## 423 423 FALSE 3 ## 424 424 FALSE 3 ## 425 425 FALSE 3 ## 426 426 FALSE 3 ## 427 427 TRUE 2 ## 428 428 TRUE 2 ## 429 429 FALSE 3 ## 430 430 TRUE 3 ## 431 431 TRUE 1 ## 432 432 TRUE 3 ## 433 433 TRUE 2 ## 434 434 FALSE 3 ## 435 435 FALSE 1 ## 436 436 TRUE 1 ## 437 437 FALSE 3 ## 438 438 TRUE 2 ## 439 439 FALSE 1 ## 440 440 FALSE 2 ## 441 441 TRUE 2 ## 442 442 FALSE 3 ## 443 443 FALSE 3 ## 444 444 TRUE 2 ## 445 445 TRUE 3 ## 446 446 TRUE 1 ## 447 447 TRUE 2 ## 448 448 TRUE 1 ## 449 449 TRUE 3 ## 450 450 TRUE 1 ## 451 451 FALSE 2 ## 452 452 FALSE 3 ## 453 453 FALSE 1 ## 454 454 TRUE 1 ## 455 455 FALSE 3 ## 456 456 TRUE 3 ## 457 457 FALSE 1 ## 458 458 TRUE 1 ## 459 459 TRUE 2 ## 460 460 FALSE 3 ## 461 461 TRUE 1 ## 462 462 FALSE 3 ## 463 463 FALSE 1 ## 464 464 FALSE 2 ## 465 465 FALSE 3 ## 466 466 FALSE 3 ## 467 467 FALSE 2 ## 468 468 FALSE 1 ## 469 469 FALSE 3 ## 470 470 TRUE 3 ## 471 471 FALSE 3 ## 472 472 FALSE 3 ## 473 473 TRUE 2 ## 474 474 TRUE 2 ## 475 475 FALSE 3 ## 476 476 FALSE 1 ## 477 477 FALSE 2 ## 478 478 FALSE 3 ## 479 479 FALSE 3 ## 480 480 TRUE 3 ## 481 481 FALSE 3 ## 482 482 FALSE 2 ## 483 483 FALSE 3 ## 484 484 TRUE 3 ## 485 485 TRUE 1 ## 486 486 FALSE 3 ## 487 487 TRUE 1 ## 488 488 FALSE 1 ## 489 489 FALSE 3 ## 490 490 TRUE 3 ## 491 491 FALSE 3 ## 492 492 FALSE 3 ## 493 493 FALSE 1 ## 494 494 FALSE 1 ## 495 495 FALSE 3 ## 496 496 FALSE 3 ## 497 497 TRUE 1 ## 498 498 FALSE 3 ## 499 499 FALSE 1 ## 500 500 FALSE 3 ## 501 501 FALSE 3 ## 502 502 FALSE 3 ## 503 503 FALSE 3 ## 504 504 FALSE 3 ## 505 505 TRUE 1 ## 506 506 FALSE 1 ## 507 507 TRUE 2 ## 508 508 TRUE 1 ## 509 509 FALSE 3 ## 510 510 TRUE 3 ## 511 511 TRUE 3 ## 512 512 FALSE 3 ## 513 513 TRUE 1 ## 514 514 TRUE 1 ## 515 515 FALSE 3 ## 516 516 FALSE 1 ## 517 517 TRUE 2 ## 518 518 FALSE 3 ## 519 519 TRUE 2 ## 520 520 FALSE 3 ## 521 521 TRUE 1 ## 522 522 FALSE 3 ## 523 523 FALSE 3 ## 524 524 TRUE 1 ## 525 525 FALSE 3 ## 526 526 FALSE 3 ## 527 527 TRUE 2 ## 528 528 FALSE 1 ## 529 529 FALSE 3 ## 530 530 FALSE 2 ## 531 531 TRUE 2 ## 532 532 FALSE 3 ## 533 533 FALSE 3 ## 534 534 TRUE 3 ## 535 535 FALSE 3 ## 536 536 TRUE 2 ## 537 537 FALSE 1 ## 538 538 TRUE 1 ## 539 539 FALSE 3 ## 540 540 TRUE 1 ## 541 541 TRUE 1 ## 542 542 FALSE 3 ## 543 543 FALSE 3 ## 544 544 TRUE 2 ## 545 545 FALSE 1 ## 546 546 FALSE 1 ## 547 547 TRUE 2 ## 548 548 TRUE 2 ## 549 549 FALSE 3 ## 550 550 TRUE 2 ## 551 551 TRUE 1 ## 552 552 FALSE 2 ## 553 553 FALSE 3 ## 554 554 TRUE 3 ## 555 555 TRUE 3 ## 556 556 FALSE 1 ## 557 557 TRUE 1 ## 558 558 FALSE 1 ## 559 559 TRUE 1 ## 560 560 TRUE 3 ## 561 561 FALSE 3 ## 562 562 FALSE 3 ## 563 563 FALSE 2 ## 564 564 FALSE 3 ## 565 565 FALSE 3 ## 566 566 FALSE 3 ## 567 567 FALSE 3 ## 568 568 FALSE 3 ## 569 569 FALSE 3 ## 570 570 TRUE 3 ## 571 571 TRUE 2 ## 572 572 TRUE 1 ## 573 573 TRUE 1 ## 574 574 TRUE 3 ## 575 575 FALSE 3 ## 576 576 FALSE 3 ## 577 577 TRUE 2 ## 578 578 TRUE 1 ## 579 579 FALSE 3 ## 580 580 TRUE 3 ## 581 581 TRUE 2 ## 582 582 TRUE 1 ## 583 583 FALSE 2 ## 584 584 FALSE 1 ## 585 585 FALSE 3 ## 586 586 TRUE 1 ## 587 587 FALSE 2 ## 588 588 TRUE 1 ## 589 589 FALSE 3 ## 590 590 FALSE 3 ## 591 591 FALSE 3 ## 592 592 TRUE 1 ## 593 593 FALSE 3 ## 594 594 FALSE 3 ## 595 595 FALSE 2 ## 596 596 FALSE 3 ## 597 597 TRUE 2 ## 598 598 FALSE 3 ## 599 599 FALSE 3 ## 600 600 TRUE 1 ## 601 601 TRUE 2 ## 602 602 FALSE 3 ## 603 603 FALSE 1 ## 604 604 FALSE 3 ## 605 605 TRUE 1 ## 606 606 FALSE 3 ## 607 607 FALSE 3 ## 608 608 TRUE 1 ## 609 609 TRUE 2 ## 610 610 TRUE 1 ## 611 611 FALSE 3 ## 612 612 FALSE 3 ## 613 613 TRUE 3 ## 614 614 FALSE 3 ## 615 615 FALSE 3 ## 616 616 TRUE 2 ## 617 617 FALSE 3 ## 618 618 FALSE 3 ## 619 619 TRUE 2 ## 620 620 FALSE 2 ## 621 621 FALSE 3 ## 622 622 TRUE 1 ## 623 623 TRUE 3 ## 624 624 FALSE 3 ## 625 625 FALSE 3 ## 626 626 FALSE 1 ## 627 627 FALSE 2 ## 628 628 TRUE 1 ## 629 629 FALSE 3 ## 630 630 FALSE 3 ## 631 631 TRUE 1 ## 632 632 FALSE 3 ## 633 633 TRUE 1 ## 634 634 FALSE 1 ## 635 635 FALSE 3 ## 636 636 TRUE 2 ## 637 637 FALSE 3 ## 638 638 FALSE 2 ## 639 639 FALSE 3 ## 640 640 FALSE 3 ## 641 641 FALSE 3 ## 642 642 TRUE 1 ## 643 643 FALSE 3 ## 644 644 TRUE 3 ## 645 645 TRUE 3 ## 646 646 TRUE 1 ## 647 647 FALSE 3 ## 648 648 TRUE 1 ## 649 649 FALSE 3 ## 650 650 TRUE 3 ## 651 651 FALSE 3 ## 652 652 TRUE 2 ## 653 653 FALSE 3 ## 654 654 TRUE 3 ## 655 655 FALSE 3 ## 656 656 FALSE 2 ## 657 657 FALSE 3 ## 658 658 FALSE 3 ## 659 659 FALSE 2 ## 660 660 FALSE 1 ## 661 661 TRUE 1 ## 662 662 FALSE 3 ## 663 663 FALSE 1 ## 664 664 FALSE 3 ## 665 665 TRUE 3 ## 666 666 FALSE 2 ## 667 667 FALSE 2 ## 668 668 FALSE 3 ## 669 669 FALSE 3 ## 670 670 TRUE 1 ## 671 671 TRUE 2 ## 672 672 FALSE 1 ## 673 673 FALSE 2 ## 674 674 TRUE 2 ## 675 675 FALSE 2 ## 676 676 FALSE 3 ## 677 677 FALSE 3 ## 678 678 TRUE 3 ## 679 679 FALSE 3 ## 680 680 TRUE 1 ## 681 681 FALSE 3 ## 682 682 TRUE 1 ## 683 683 FALSE 3 ## 684 684 FALSE 3 ## 685 685 FALSE 2 ## 686 686 FALSE 2 ## 687 687 FALSE 3 ## 688 688 FALSE 3 ## 689 689 FALSE 3 ## 690 690 TRUE 1 ## 691 691 TRUE 1 ## 692 692 TRUE 3 ## 693 693 TRUE 3 ## 694 694 FALSE 3 ## 695 695 FALSE 1 ## 696 696 FALSE 2 ## 697 697 FALSE 3 ## 698 698 TRUE 3 ## 699 699 FALSE 1 ## 700 700 FALSE 3 ## 701 701 TRUE 1 ## 702 702 TRUE 1 ## 703 703 FALSE 3 ## 704 704 FALSE 3 ## 705 705 FALSE 3 ## 706 706 FALSE 2 ## 707 707 TRUE 2 ## 708 708 TRUE 1 ## 709 709 TRUE 1 ## 710 710 TRUE 3 ## 711 711 TRUE 1 ## 712 712 FALSE 1 ## 713 713 TRUE 1 ## 714 714 FALSE 3 ## 715 715 FALSE 2 ## 716 716 FALSE 3 ## 717 717 TRUE 1 ## 718 718 TRUE 2 ## 719 719 FALSE 3 ## 720 720 FALSE 3 ## 721 721 TRUE 2 ## 722 722 FALSE 3 ## 723 723 FALSE 2 ## 724 724 FALSE 2 ## 725 725 TRUE 1 ## 726 726 FALSE 3 ## 727 727 TRUE 2 ## 728 728 TRUE 3 ## 729 729 FALSE 2 ## 730 730 FALSE 3 ## 731 731 TRUE 1 ## 732 732 FALSE 3 ## 733 733 FALSE 2 ## 734 734 FALSE 2 ## 735 735 FALSE 2 ## 736 736 FALSE 3 ## 737 737 FALSE 3 ## 738 738 TRUE 1 ## 739 739 FALSE 3 ## 740 740 FALSE 3 ## 741 741 TRUE 1 ## 742 742 FALSE 1 ## 743 743 TRUE 1 ## 744 744 FALSE 3 ## 745 745 TRUE 3 ## 746 746 FALSE 1 ## 747 747 FALSE 3 ## 748 748 TRUE 2 ## 749 749 FALSE 1 ## 750 750 FALSE 3 ## 751 751 TRUE 2 ## 752 752 TRUE 3 ## 753 753 FALSE 3 ## 754 754 FALSE 3 ## 755 755 TRUE 2 ## 756 756 TRUE 2 ## 757 757 FALSE 3 ## 758 758 FALSE 2 ## 759 759 FALSE 3 ## 760 760 TRUE 1 ## 761 761 FALSE 3 ## 762 762 FALSE 3 ## 763 763 TRUE 3 ## 764 764 TRUE 1 ## 765 765 FALSE 3 ## 766 766 TRUE 1 ## 767 767 FALSE 1 ## 768 768 FALSE 3 ## 769 769 FALSE 3 ## 770 770 FALSE 3 ## 771 771 FALSE 3 ## 772 772 FALSE 3 ## 773 773 FALSE 2 ## 774 774 FALSE 3 ## 775 775 TRUE 2 ## 776 776 FALSE 3 ## 777 777 FALSE 3 ## 778 778 TRUE 3 ## 779 779 FALSE 3 ## 780 780 TRUE 1 ## 781 781 TRUE 3 ## 782 782 TRUE 1 ## 783 783 FALSE 1 ## 784 784 FALSE 3 ## 785 785 FALSE 3 ## 786 786 FALSE 3 ## 787 787 TRUE 3 ## 788 788 FALSE 3 ## 789 789 TRUE 3 ## 790 790 FALSE 1 ## 791 791 FALSE 3 ## 792 792 FALSE 2 ## 793 793 FALSE 3 ## 794 794 FALSE 1 ## 795 795 FALSE 3 ## 796 796 FALSE 2 ## 797 797 TRUE 1 ## 798 798 TRUE 3 ## 799 799 FALSE 3 ## 800 800 FALSE 3 ## 801 801 FALSE 2 ## 802 802 TRUE 2 ## 803 803 TRUE 1 ## 804 804 TRUE 3 ## 805 805 TRUE 3 ## 806 806 FALSE 3 ## 807 807 FALSE 1 ## 808 808 FALSE 3 ## 809 809 FALSE 2 ## 810 810 TRUE 1 ## 811 811 FALSE 3 ## 812 812 FALSE 3 ## 813 813 FALSE 2 ## 814 814 FALSE 3 ## 815 815 FALSE 3 ## 816 816 FALSE 1 ## 817 817 FALSE 3 ## 818 818 FALSE 2 ## 819 819 FALSE 3 ## 820 820 FALSE 3 ## 821 821 TRUE 1 ## 822 822 TRUE 3 ## 823 823 FALSE 1 ## 824 824 TRUE 3 ## 825 825 FALSE 3 ## 826 826 FALSE 3 ## 827 827 FALSE 3 ## 828 828 TRUE 2 ## 829 829 TRUE 3 ## 830 830 TRUE 1 ## 831 831 TRUE 3 ## 832 832 TRUE 2 ## 833 833 FALSE 3 ## 834 834 FALSE 3 ## 835 835 FALSE 3 ## 836 836 TRUE 1 ## 837 837 FALSE 3 ## 838 838 FALSE 3 ## 839 839 TRUE 3 ## 840 840 TRUE 1 ## 841 841 FALSE 3 ## 842 842 FALSE 2 ## 843 843 TRUE 1 ## 844 844 FALSE 3 ## 845 845 FALSE 3 ## 846 846 FALSE 3 ## 847 847 FALSE 3 ## 848 848 FALSE 3 ## 849 849 FALSE 2 ## 850 850 TRUE 1 ## 851 851 FALSE 3 ## 852 852 FALSE 3 ## 853 853 FALSE 3 ## 854 854 TRUE 1 ## 855 855 FALSE 2 ## 856 856 TRUE 3 ## 857 857 TRUE 1 ## 858 858 TRUE 1 ## 859 859 TRUE 3 ## 860 860 FALSE 3 ## 861 861 FALSE 3 ## 862 862 FALSE 2 ## 863 863 TRUE 1 ## 864 864 FALSE 3 ## 865 865 FALSE 2 ## 866 866 TRUE 2 ## 867 867 TRUE 2 ## 868 868 FALSE 1 ## 869 869 FALSE 3 ## 870 870 TRUE 3 ## 871 871 FALSE 3 ## 872 872 TRUE 1 ## 873 873 FALSE 1 ## 874 874 FALSE 3 ## 875 875 TRUE 2 ## 876 876 TRUE 3 ## 877 877 FALSE 3 ## 878 878 FALSE 3 ## 879 879 FALSE 3 ## 880 880 TRUE 1 ## 881 881 TRUE 2 ## 882 882 FALSE 3 ## 883 883 FALSE 3 ## 884 884 FALSE 2 ## 885 885 FALSE 3 ## 886 886 FALSE 3 ## 887 887 FALSE 2 ## 888 888 TRUE 1 ## 889 889 FALSE 3 ## 890 890 TRUE 1 ## 891 891 FALSE 3 ## Name ## 1 Braund, Mr. Owen Harris ## 2 Cumings, Mrs. John Bradley (Florence Briggs Thayer) ## 3 Heikkinen, Miss. Laina ## 4 Futrelle, Mrs. Jacques Heath (Lily May Peel) ## 5 Allen, Mr. William Henry ## 6 Moran, Mr. James ## 7 McCarthy, Mr. Timothy J ## 8 Palsson, Master. Gosta Leonard ## 9 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) ## 10 Nasser, Mrs. Nicholas (Adele Achem) ## 11 Sandstrom, Miss. Marguerite Rut ## 12 Bonnell, Miss. Elizabeth ## 13 Saundercock, Mr. William Henry ## 14 Andersson, Mr. Anders Johan ## 15 Vestrom, Miss. Hulda Amanda Adolfina ## 16 Hewlett, Mrs. (Mary D Kingcome) ## 17 Rice, Master. Eugene ## 18 Williams, Mr. Charles Eugene ## 19 Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele) ## 20 Masselmani, Mrs. Fatima ## 21 Fynney, Mr. Joseph J ## 22 Beesley, Mr. Lawrence ## 23 McGowan, Miss. Anna "Annie" ## 24 Sloper, Mr. William Thompson ## 25 Palsson, Miss. Torborg Danira ## 26 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson) ## 27 Emir, Mr. Farred Chehab ## 28 Fortune, Mr. Charles Alexander ## 29 O'Dwyer, Miss. Ellen "Nellie" ## 30 Todoroff, Mr. Lalio ## 31 Uruchurtu, Don. Manuel E ## 32 Spencer, Mrs. William Augustus (Marie Eugenie) ## 33 Glynn, Miss. Mary Agatha ## 34 Wheadon, Mr. Edward H ## 35 Meyer, Mr. Edgar Joseph ## 36 Holverson, Mr. Alexander Oskar ## 37 Mamee, Mr. Hanna ## 38 Cann, Mr. Ernest Charles ## 39 Vander Planke, Miss. Augusta Maria ## 40 Nicola-Yarred, Miss. Jamila ## 41 Ahlin, Mrs. Johan (Johanna Persdotter Larsson) ## 42 Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott) ## 43 Kraeff, Mr. Theodor ## 44 Laroche, Miss. Simonne Marie Anne Andree ## 45 Devaney, Miss. Margaret Delia ## 46 Rogers, Mr. William John ## 47 Lennon, Mr. Denis ## 48 O'Driscoll, Miss. Bridget ## 49 Samaan, Mr. Youssef ## 50 Arnold-Franchi, Mrs. Josef (Josefine Franchi) ## 51 Panula, Master. Juha Niilo ## 52 Nosworthy, Mr. Richard Cater ## 53 Harper, Mrs. Henry Sleeper (Myna Haxtun) ## 54 Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson) ## 55 Ostby, Mr. Engelhart Cornelius ## 56 Woolner, Mr. Hugh ## 57 Rugg, Miss. Emily ## 58 Novel, Mr. Mansouer ## 59 West, Miss. Constance Mirium ## 60 Goodwin, Master. William Frederick ## 61 Sirayanian, Mr. Orsen ## 62 Icard, Miss. Amelie ## 63 Harris, Mr. Henry Birkhardt ## 64 Skoog, Master. Harald ## 65 Stewart, Mr. Albert A ## 66 Moubarek, Master. Gerios ## 67 Nye, Mrs. (Elizabeth Ramell) ## 68 Crease, Mr. Ernest James ## 69 Andersson, Miss. Erna Alexandra ## 70 Kink, Mr. Vincenz ## 71 Jenkin, Mr. Stephen Curnow ## 72 Goodwin, Miss. Lillian Amy ## 73 Hood, Mr. Ambrose Jr ## 74 Chronopoulos, Mr. Apostolos ## 75 Bing, Mr. Lee ## 76 Moen, Mr. Sigurd Hansen ## 77 Staneff, Mr. Ivan ## 78 Moutal, Mr. Rahamin Haim ## 79 Caldwell, Master. Alden Gates ## 80 Dowdell, Miss. Elizabeth ## 81 Waelens, Mr. Achille ## 82 Sheerlinck, Mr. Jan Baptist ## 83 McDermott, Miss. Brigdet Delia ## 84 Carrau, Mr. Francisco M ## 85 Ilett, Miss. Bertha ## 86 Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson) ## 87 Ford, Mr. William Neal ## 88 Slocovski, Mr. Selman Francis ## 89 Fortune, Miss. Mabel Helen ## 90 Celotti, Mr. Francesco ## 91 Christmann, Mr. Emil ## 92 Andreasson, Mr. Paul Edvin ## 93 Chaffee, Mr. Herbert Fuller ## 94 Dean, Mr. Bertram Frank ## 95 Coxon, Mr. Daniel ## 96 Shorney, Mr. Charles Joseph ## 97 Goldschmidt, Mr. George B ## 98 Greenfield, Mr. William Bertram ## 99 Doling, Mrs. John T (Ada Julia Bone) ## 100 Kantor, Mr. Sinai ## 101 Petranec, Miss. Matilda ## 102 Petroff, Mr. Pastcho ("Pentcho") ## 103 White, Mr. Richard Frasar ## 104 Johansson, Mr. Gustaf Joel ## 105 Gustafsson, Mr. Anders Vilhelm ## 106 Mionoff, Mr. Stoytcho ## 107 Salkjelsvik, Miss. Anna Kristine ## 108 Moss, Mr. Albert Johan ## 109 Rekic, Mr. Tido ## 110 Moran, Miss. Bertha ## 111 Porter, Mr. Walter Chamberlain ## 112 Zabour, Miss. Hileni ## 113 Barton, Mr. David John ## 114 Jussila, Miss. Katriina ## 115 Attalah, Miss. Malake ## 116 Pekoniemi, Mr. Edvard ## 117 Connors, Mr. Patrick ## 118 Turpin, Mr. William John Robert ## 119 Baxter, Mr. Quigg Edmond ## 120 Andersson, Miss. Ellis Anna Maria ## 121 Hickman, Mr. Stanley George ## 122 Moore, Mr. Leonard Charles ## 123 Nasser, Mr. Nicholas ## 124 Webber, Miss. Susan ## 125 White, Mr. Percival Wayland ## 126 Nicola-Yarred, Master. Elias ## 127 McMahon, Mr. Martin ## 128 Madsen, Mr. Fridtjof Arne ## 129 Peter, Miss. Anna ## 130 Ekstrom, Mr. Johan ## 131 Drazenoic, Mr. Jozef ## 132 Coelho, Mr. Domingos Fernandeo ## 133 Robins, Mrs. Alexander A (Grace Charity Laury) ## 134 Weisz, Mrs. Leopold (Mathilde Francoise Pede) ## 135 Sobey, Mr. Samuel James Hayden ## 136 Richard, Mr. Emile ## 137 Newsom, Miss. Helen Monypeny ## 138 Futrelle, Mr. Jacques Heath ## 139 Osen, Mr. Olaf Elon ## 140 Giglio, Mr. Victor ## 141 Boulos, Mrs. Joseph (Sultana) ## 142 Nysten, Miss. Anna Sofia ## 143 Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck) ## 144 Burke, Mr. Jeremiah ## 145 Andrew, Mr. Edgardo Samuel ## 146 Nicholls, Mr. Joseph Charles ## 147 Andersson, Mr. August Edvard ("Wennerstrom") ## 148 Ford, Miss. Robina Maggie "Ruby" ## 149 Navratil, Mr. Michel ("Louis M Hoffman") ## 150 Byles, Rev. Thomas Roussel Davids ## 151 Bateman, Rev. Robert James ## 152 Pears, Mrs. Thomas (Edith Wearne) ## 153 Meo, Mr. Alfonzo ## 154 van Billiard, Mr. Austin Blyler ## 155 Olsen, Mr. Ole Martin ## 156 Williams, Mr. Charles Duane ## 157 Gilnagh, Miss. Katherine "Katie" ## 158 Corn, Mr. Harry ## 159 Smiljanic, Mr. Mile ## 160 Sage, Master. Thomas Henry ## 161 Cribb, Mr. John Hatfield ## 162 Watt, Mrs. James (Elizabeth "Bessie" Inglis Milne) ## 163 Bengtsson, Mr. John Viktor ## 164 Calic, Mr. Jovo ## 165 Panula, Master. Eino Viljami ## 166 Goldsmith, Master. Frank John William "Frankie" ## 167 Chibnall, Mrs. (Edith Martha Bowerman) ## 168 Skoog, Mrs. William (Anna Bernhardina Karlsson) ## 169 Baumann, Mr. John D ## 170 Ling, Mr. Lee ## 171 Van der hoef, Mr. Wyckoff ## 172 Rice, Master. Arthur ## 173 Johnson, Miss. Eleanor Ileen ## 174 Sivola, Mr. Antti Wilhelm ## 175 Smith, Mr. James Clinch ## 176 Klasen, Mr. Klas Albin ## 177 Lefebre, Master. Henry Forbes ## 178 Isham, Miss. Ann Elizabeth ## 179 Hale, Mr. Reginald ## 180 Leonard, Mr. Lionel ## 181 Sage, Miss. Constance Gladys ## 182 Pernot, Mr. Rene ## 183 Asplund, Master. Clarence Gustaf Hugo ## 184 Becker, Master. Richard F ## 185 Kink-Heilmann, Miss. Luise Gretchen ## 186 Rood, Mr. Hugh Roscoe ## 187 O'Brien, Mrs. Thomas (Johanna "Hannah" Godfrey) ## 188 Romaine, Mr. Charles Hallace ("Mr C Rolmane") ## 189 Bourke, Mr. John ## 190 Turcin, Mr. Stjepan ## 191 Pinsky, Mrs. (Rosa) ## 192 Carbines, Mr. William ## 193 Andersen-Jensen, Miss. Carla Christine Nielsine ## 194 Navratil, Master. Michel M ## 195 Brown, Mrs. James Joseph (Margaret Tobin) ## 196 Lurette, Miss. Elise ## 197 Mernagh, Mr. Robert ## 198 Olsen, Mr. Karl Siegwart Andreas ## 199 Madigan, Miss. Margaret "Maggie" ## 200 Yrois, Miss. Henriette ("Mrs Harbeck") ## 201 Vande Walle, Mr. Nestor Cyriel ## 202 Sage, Mr. Frederick ## 203 Johanson, Mr. Jakob Alfred ## 204 Youseff, Mr. Gerious ## 205 Cohen, Mr. Gurshon "Gus" ## 206 Strom, Miss. Telma Matilda ## 207 Backstrom, Mr. Karl Alfred ## 208 Albimona, Mr. Nassef Cassem ## 209 Carr, Miss. Helen "Ellen" ## 210 Blank, Mr. Henry ## 211 Ali, Mr. Ahmed ## 212 Cameron, Miss. Clear Annie ## 213 Perkin, Mr. John Henry ## 214 Givard, Mr. Hans Kristensen ## 215 Kiernan, Mr. Philip ## 216 Newell, Miss. Madeleine ## 217 Honkanen, Miss. Eliina ## 218 Jacobsohn, Mr. Sidney Samuel ## 219 Bazzani, Miss. Albina ## 220 Harris, Mr. Walter ## 221 Sunderland, Mr. Victor Francis ## 222 Bracken, Mr. James H ## 223 Green, Mr. George Henry ## 224 Nenkoff, Mr. Christo ## 225 Hoyt, Mr. Frederick Maxfield ## 226 Berglund, Mr. Karl Ivar Sven ## 227 Mellors, Mr. William John ## 228 Lovell, Mr. John Hall ("Henry") ## 229 Fahlstrom, Mr. Arne Jonas ## 230 Lefebre, Miss. Mathilde ## 231 Harris, Mrs. Henry Birkhardt (Irene Wallach) ## 232 Larsson, Mr. Bengt Edvin ## 233 Sjostedt, Mr. Ernst Adolf ## 234 Asplund, Miss. Lillian Gertrud ## 235 Leyson, Mr. Robert William Norman ## 236 Harknett, Miss. Alice Phoebe ## 237 Hold, Mr. Stephen ## 238 Collyer, Miss. Marjorie "Lottie" ## 239 Pengelly, Mr. Frederick William ## 240 Hunt, Mr. George Henry ## 241 Zabour, Miss. Thamine ## 242 Murphy, Miss. Katherine "Kate" ## 243 Coleridge, Mr. Reginald Charles ## 244 Maenpaa, Mr. Matti Alexanteri ## 245 Attalah, Mr. Sleiman ## 246 Minahan, Dr. William Edward ## 247 Lindahl, Miss. Agda Thorilda Viktoria ## 248 Hamalainen, Mrs. William (Anna) ## 249 Beckwith, Mr. Richard Leonard ## 250 Carter, Rev. Ernest Courtenay ## 251 Reed, Mr. James George ## 252 Strom, Mrs. Wilhelm (Elna Matilda Persson) ## 253 Stead, Mr. William Thomas ## 254 Lobb, Mr. William Arthur ## 255 Rosblom, Mrs. Viktor (Helena Wilhelmina) ## 256 Touma, Mrs. Darwis (Hanne Youssef Razi) ## 257 Thorne, Mrs. Gertrude Maybelle ## 258 Cherry, Miss. Gladys ## 259 Ward, Miss. Anna ## 260 Parrish, Mrs. (Lutie Davis) ## 261 Smith, Mr. Thomas ## 262 Asplund, Master. Edvin Rojj Felix ## 263 Taussig, Mr. Emil ## 264 Harrison, Mr. William ## 265 Henry, Miss. Delia ## 266 Reeves, Mr. David ## 267 Panula, Mr. Ernesti Arvid ## 268 Persson, Mr. Ernst Ulrik ## 269 Graham, Mrs. William Thompson (Edith Junkins) ## 270 Bissette, Miss. Amelia ## 271 Cairns, Mr. Alexander ## 272 Tornquist, Mr. William Henry ## 273 Mellinger, Mrs. (Elizabeth Anne Maidment) ## 274 Natsch, Mr. Charles H ## 275 Healy, Miss. Hanora "Nora" ## 276 Andrews, Miss. Kornelia Theodosia ## 277 Lindblom, Miss. Augusta Charlotta ## 278 Parkes, Mr. Francis "Frank" ## 279 Rice, Master. Eric ## 280 Abbott, Mrs. Stanton (Rosa Hunt) ## 281 Duane, Mr. Frank ## 282 Olsson, Mr. Nils Johan Goransson ## 283 de Pelsmaeker, Mr. Alfons ## 284 Dorking, Mr. Edward Arthur ## 285 Smith, Mr. Richard William ## 286 Stankovic, Mr. Ivan ## 287 de Mulder, Mr. Theodore ## 288 Naidenoff, Mr. Penko ## 289 Hosono, Mr. Masabumi ## 290 Connolly, Miss. Kate ## 291 Barber, Miss. Ellen "Nellie" ## 292 Bishop, Mrs. Dickinson H (Helen Walton) ## 293 Levy, Mr. Rene Jacques ## 294 Haas, Miss. Aloisia ## 295 Mineff, Mr. Ivan ## 296 Lewy, Mr. Ervin G ## 297 Hanna, Mr. Mansour ## 298 Allison, Miss. Helen Loraine ## 299 Saalfeld, Mr. Adolphe ## 300 Baxter, Mrs. James (Helene DeLaudeniere Chaput) ## 301 Kelly, Miss. Anna Katherine "Annie Kate" ## 302 McCoy, Mr. Bernard ## 303 Johnson, Mr. William Cahoone Jr ## 304 Keane, Miss. Nora A ## 305 Williams, Mr. Howard Hugh "Harry" ## 306 Allison, Master. Hudson Trevor ## 307 Fleming, Miss. Margaret ## 308 Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo) ## 309 Abelson, Mr. Samuel ## 310 Francatelli, Miss. Laura Mabel ## 311 Hays, Miss. Margaret Bechstein ## 312 Ryerson, Miss. Emily Borie ## 313 Lahtinen, Mrs. William (Anna Sylfven) ## 314 Hendekovic, Mr. Ignjac ## 315 Hart, Mr. Benjamin ## 316 Nilsson, Miss. Helmina Josefina ## 317 Kantor, Mrs. Sinai (Miriam Sternin) ## 318 Moraweck, Dr. Ernest ## 319 Wick, Miss. Mary Natalie ## 320 Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone) ## 321 Dennis, Mr. Samuel ## 322 Danoff, Mr. Yoto ## 323 Slayter, Miss. Hilda Mary ## 324 Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh) ## 325 Sage, Mr. George John Jr ## 326 Young, Miss. Marie Grice ## 327 Nysveen, Mr. Johan Hansen ## 328 Ball, Mrs. (Ada E Hall) ## 329 Goldsmith, Mrs. Frank John (Emily Alice Brown) ## 330 Hippach, Miss. Jean Gertrude ## 331 McCoy, Miss. Agnes ## 332 Partner, Mr. Austen ## 333 Graham, Mr. George Edward ## 334 Vander Planke, Mr. Leo Edmondus ## 335 Frauenthal, Mrs. Henry William (Clara Heinsheimer) ## 336 Denkoff, Mr. Mitto ## 337 Pears, Mr. Thomas Clinton ## 338 Burns, Miss. Elizabeth Margaret ## 339 Dahl, Mr. Karl Edwart ## 340 Blackwell, Mr. Stephen Weart ## 341 Navratil, Master. Edmond Roger ## 342 Fortune, Miss. Alice Elizabeth ## 343 Collander, Mr. Erik Gustaf ## 344 Sedgwick, Mr. Charles Frederick Waddington ## 345 Fox, Mr. Stanley Hubert ## 346 Brown, Miss. Amelia "Mildred" ## 347 Smith, Miss. Marion Elsie ## 348 Davison, Mrs. Thomas Henry (Mary E Finck) ## 349 Coutts, Master. William Loch "William" ## 350 Dimic, Mr. Jovan ## 351 Odahl, Mr. Nils Martin ## 352 Williams-Lambert, Mr. Fletcher Fellows ## 353 Elias, Mr. Tannous ## 354 Arnold-Franchi, Mr. Josef ## 355 Yousif, Mr. Wazli ## 356 Vanden Steen, Mr. Leo Peter ## 357 Bowerman, Miss. Elsie Edith ## 358 Funk, Miss. Annie Clemmer ## 359 McGovern, Miss. Mary ## 360 Mockler, Miss. Helen Mary "Ellie" ## 361 Skoog, Mr. Wilhelm ## 362 del Carlo, Mr. Sebastiano ## 363 Barbara, Mrs. (Catherine David) ## 364 Asim, Mr. Adola ## 365 O'Brien, Mr. Thomas ## 366 Adahl, Mr. Mauritz Nils Martin ## 367 Warren, Mrs. Frank Manley (Anna Sophia Atkinson) ## 368 Moussa, Mrs. (Mantoura Boulos) ## 369 Jermyn, Miss. Annie ## 370 Aubart, Mme. Leontine Pauline ## 371 Harder, Mr. George Achilles ## 372 Wiklund, Mr. Jakob Alfred ## 373 Beavan, Mr. William Thomas ## 374 Ringhini, Mr. Sante ## 375 Palsson, Miss. Stina Viola ## 376 Meyer, Mrs. Edgar Joseph (Leila Saks) ## 377 Landergren, Miss. Aurora Adelia ## 378 Widener, Mr. Harry Elkins ## 379 Betros, Mr. Tannous ## 380 Gustafsson, Mr. Karl Gideon ## 381 Bidois, Miss. Rosalie ## 382 Nakid, Miss. Maria ("Mary") ## 383 Tikkanen, Mr. Juho ## 384 Holverson, Mrs. Alexander Oskar (Mary Aline Towner) ## 385 Plotcharsky, Mr. Vasil ## 386 Davies, Mr. Charles Henry ## 387 Goodwin, Master. Sidney Leonard ## 388 Buss, Miss. Kate ## 389 Sadlier, Mr. Matthew ## 390 Lehmann, Miss. Bertha ## 391 Carter, Mr. William Ernest ## 392 Jansson, Mr. Carl Olof ## 393 Gustafsson, Mr. Johan Birger ## 394 Newell, Miss. Marjorie ## 395 Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson) ## 396 Johansson, Mr. Erik ## 397 Olsson, Miss. Elina ## 398 McKane, Mr. Peter David ## 399 Pain, Dr. Alfred ## 400 Trout, Mrs. William H (Jessie L) ## 401 Niskanen, Mr. Juha ## 402 Adams, Mr. John ## 403 Jussila, Miss. Mari Aina ## 404 Hakkarainen, Mr. Pekka Pietari ## 405 Oreskovic, Miss. Marija ## 406 Gale, Mr. Shadrach ## 407 Widegren, Mr. Carl/Charles Peter ## 408 Richards, Master. William Rowe ## 409 Birkeland, Mr. Hans Martin Monsen ## 410 Lefebre, Miss. Ida ## 411 Sdycoff, Mr. Todor ## 412 Hart, Mr. Henry ## 413 Minahan, Miss. Daisy E ## 414 Cunningham, Mr. Alfred Fleming ## 415 Sundman, Mr. Johan Julian ## 416 Meek, Mrs. Thomas (Annie Louise Rowley) ## 417 Drew, Mrs. James Vivian (Lulu Thorne Christian) ## 418 Silven, Miss. Lyyli Karoliina ## 419 Matthews, Mr. William John ## 420 Van Impe, Miss. Catharina ## 421 Gheorgheff, Mr. Stanio ## 422 Charters, Mr. David ## 423 Zimmerman, Mr. Leo ## 424 Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren) ## 425 Rosblom, Mr. Viktor Richard ## 426 Wiseman, Mr. Phillippe ## 427 Clarke, Mrs. Charles V (Ada Maria Winfield) ## 428 Phillips, Miss. Kate Florence ("Mrs Kate Louise Phillips Marshall") ## 429 Flynn, Mr. James ## 430 Pickard, Mr. Berk (Berk Trembisky) ## 431 Bjornstrom-Steffansson, Mr. Mauritz Hakan ## 432 Thorneycroft, Mrs. Percival (Florence Kate White) ## 433 Louch, Mrs. Charles Alexander (Alice Adelaide Slow) ## 434 Kallio, Mr. Nikolai Erland ## 435 Silvey, Mr. William Baird ## 436 Carter, Miss. Lucile Polk ## 437 Ford, Miss. Doolina Margaret "Daisy" ## 438 Richards, Mrs. Sidney (Emily Hocking) ## 439 Fortune, Mr. Mark ## 440 Kvillner, Mr. Johan Henrik Johannesson ## 441 Hart, Mrs. Benjamin (Esther Ada Bloomfield) ## 442 Hampe, Mr. Leon ## 443 Petterson, Mr. Johan Emil ## 444 Reynaldo, Ms. Encarnacion ## 445 Johannesen-Bratthammer, Mr. Bernt ## 446 Dodge, Master. Washington ## 447 Mellinger, Miss. Madeleine Violet ## 448 Seward, Mr. Frederic Kimber ## 449 Baclini, Miss. Marie Catherine ## 450 Peuchen, Major. Arthur Godfrey ## 451 West, Mr. Edwy Arthur ## 452 Hagland, Mr. Ingvald Olai Olsen ## 453 Foreman, Mr. Benjamin Laventall ## 454 Goldenberg, Mr. Samuel L ## 455 Peduzzi, Mr. Joseph ## 456 Jalsevac, Mr. Ivan ## 457 Millet, Mr. Francis Davis ## 458 Kenyon, Mrs. Frederick R (Marion) ## 459 Toomey, Miss. Ellen ## 460 O'Connor, Mr. Maurice ## 461 Anderson, Mr. Harry ## 462 Morley, Mr. William ## 463 Gee, Mr. Arthur H ## 464 Milling, Mr. Jacob Christian ## 465 Maisner, Mr. Simon ## 466 Goncalves, Mr. Manuel Estanslas ## 467 Campbell, Mr. William ## 468 Smart, Mr. John Montgomery ## 469 Scanlan, Mr. James ## 470 Baclini, Miss. Helene Barbara ## 471 Keefe, Mr. Arthur ## 472 Cacic, Mr. Luka ## 473 West, Mrs. Edwy Arthur (Ada Mary Worth) ## 474 Jerwan, Mrs. Amin S (Marie Marthe Thuillard) ## 475 Strandberg, Miss. Ida Sofia ## 476 Clifford, Mr. George Quincy ## 477 Renouf, Mr. Peter Henry ## 478 Braund, Mr. Lewis Richard ## 479 Karlsson, Mr. Nils August ## 480 Hirvonen, Miss. Hildur E ## 481 Goodwin, Master. Harold Victor ## 482 Frost, Mr. Anthony Wood "Archie" ## 483 Rouse, Mr. Richard Henry ## 484 Turkula, Mrs. (Hedwig) ## 485 Bishop, Mr. Dickinson H ## 486 Lefebre, Miss. Jeannie ## 487 Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby) ## 488 Kent, Mr. Edward Austin ## 489 Somerton, Mr. Francis William ## 490 Coutts, Master. Eden Leslie "Neville" ## 491 Hagland, Mr. Konrad Mathias Reiersen ## 492 Windelov, Mr. Einar ## 493 Molson, Mr. Harry Markland ## 494 Artagaveytia, Mr. Ramon ## 495 Stanley, Mr. Edward Roland ## 496 Yousseff, Mr. Gerious ## 497 Eustis, Miss. Elizabeth Mussey ## 498 Shellard, Mr. Frederick William ## 499 Allison, Mrs. Hudson J C (Bessie Waldo Daniels) ## 500 Svensson, Mr. Olof ## 501 Calic, Mr. Petar ## 502 Canavan, Miss. Mary ## 503 O'Sullivan, Miss. Bridget Mary ## 504 Laitinen, Miss. Kristina Sofia ## 505 Maioni, Miss. Roberta ## 506 Penasco y Castellana, Mr. Victor de Satode ## 507 Quick, Mrs. Frederick Charles (Jane Richards) ## 508 Bradley, Mr. George ("George Arthur Brayton") ## 509 Olsen, Mr. Henry Margido ## 510 Lang, Mr. Fang ## 511 Daly, Mr. Eugene Patrick ## 512 Webber, Mr. James ## 513 McGough, Mr. James Robert ## 514 Rothschild, Mrs. Martin (Elizabeth L. Barrett) ## 515 Coleff, Mr. Satio ## 516 Walker, Mr. William Anderson ## 517 Lemore, Mrs. (Amelia Milley) ## 518 Ryan, Mr. Patrick ## 519 Angle, Mrs. William A (Florence "Mary" Agnes Hughes) ## 520 Pavlovic, Mr. Stefo ## 521 Perreault, Miss. Anne ## 522 Vovk, Mr. Janko ## 523 Lahoud, Mr. Sarkis ## 524 Hippach, Mrs. Louis Albert (Ida Sophia Fischer) ## 525 Kassem, Mr. Fared ## 526 Farrell, Mr. James ## 527 Ridsdale, Miss. Lucy ## 528 Farthing, Mr. John ## 529 Salonen, Mr. Johan Werner ## 530 Hocking, Mr. Richard George ## 531 Quick, Miss. Phyllis May ## 532 Toufik, Mr. Nakli ## 533 Elias, Mr. Joseph Jr ## 534 Peter, Mrs. Catherine (Catherine Rizk) ## 535 Cacic, Miss. Marija ## 536 Hart, Miss. Eva Miriam ## 537 Butt, Major. Archibald Willingham ## 538 LeRoy, Miss. Bertha ## 539 Risien, Mr. Samuel Beard ## 540 Frolicher, Miss. Hedwig Margaritha ## 541 Crosby, Miss. Harriet R ## 542 Andersson, Miss. Ingeborg Constanzia ## 543 Andersson, Miss. Sigrid Elisabeth ## 544 Beane, Mr. Edward ## 545 Douglas, Mr. Walter Donald ## 546 Nicholson, Mr. Arthur Ernest ## 547 Beane, Mrs. Edward (Ethel Clarke) ## 548 Padro y Manent, Mr. Julian ## 549 Goldsmith, Mr. Frank John ## 550 Davies, Master. John Morgan Jr ## 551 Thayer, Mr. John Borland Jr ## 552 Sharp, Mr. Percival James R ## 553 O'Brien, Mr. Timothy ## 554 Leeni, Mr. Fahim ("Philip Zenni") ## 555 Ohman, Miss. Velin ## 556 Wright, Mr. George ## 557 Duff Gordon, Lady. (Lucille Christiana Sutherland) ("Mrs Morgan") ## 558 Robbins, Mr. Victor ## 559 Taussig, Mrs. Emil (Tillie Mandelbaum) ## 560 de Messemaeker, Mrs. Guillaume Joseph (Emma) ## 561 Morrow, Mr. Thomas Rowan ## 562 Sivic, Mr. Husein ## 563 Norman, Mr. Robert Douglas ## 564 Simmons, Mr. John ## 565 Meanwell, Miss. (Marion Ogden) ## 566 Davies, Mr. Alfred J ## 567 Stoytcheff, Mr. Ilia ## 568 Palsson, Mrs. Nils (Alma Cornelia Berglund) ## 569 Doharr, Mr. Tannous ## 570 Jonsson, Mr. Carl ## 571 Harris, Mr. George ## 572 Appleton, Mrs. Edward Dale (Charlotte Lamson) ## 573 Flynn, Mr. John Irwin ("Irving") ## 574 Kelly, Miss. Mary ## 575 Rush, Mr. Alfred George John ## 576 Patchett, Mr. George ## 577 Garside, Miss. Ethel ## 578 Silvey, Mrs. William Baird (Alice Munger) ## 579 Caram, Mrs. Joseph (Maria Elias) ## 580 Jussila, Mr. Eiriik ## 581 Christy, Miss. Julie Rachel ## 582 Thayer, Mrs. John Borland (Marian Longstreth Morris) ## 583 Downton, Mr. William James ## 584 Ross, Mr. John Hugo ## 585 Paulner, Mr. Uscher ## 586 Taussig, Miss. Ruth ## 587 Jarvis, Mr. John Denzil ## 588 Frolicher-Stehli, Mr. Maxmillian ## 589 Gilinski, Mr. Eliezer ## 590 Murdlin, Mr. Joseph ## 591 Rintamaki, Mr. Matti ## 592 Stephenson, Mrs. Walter Bertram (Martha Eustis) ## 593 Elsbury, Mr. William James ## 594 Bourke, Miss. Mary ## 595 Chapman, Mr. John Henry ## 596 Van Impe, Mr. Jean Baptiste ## 597 Leitch, Miss. Jessie Wills ## 598 Johnson, Mr. Alfred ## 599 Boulos, Mr. Hanna ## 600 Duff Gordon, Sir. Cosmo Edmund ("Mr Morgan") ## 601 Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy) ## 602 Slabenoff, Mr. Petco ## 603 Harrington, Mr. Charles H ## 604 Torber, Mr. Ernst William ## 605 Homer, Mr. Harry ("Mr E Haven") ## 606 Lindell, Mr. Edvard Bengtsson ## 607 Karaic, Mr. Milan ## 608 Daniel, Mr. Robert Williams ## 609 Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue) ## 610 Shutes, Miss. Elizabeth W ## 611 Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren) ## 612 Jardin, Mr. Jose Neto ## 613 Murphy, Miss. Margaret Jane ## 614 Horgan, Mr. John ## 615 Brocklebank, Mr. William Alfred ## 616 Herman, Miss. Alice ## 617 Danbom, Mr. Ernst Gilbert ## 618 Lobb, Mrs. William Arthur (Cordelia K Stanlick) ## 619 Becker, Miss. Marion Louise ## 620 Gavey, Mr. Lawrence ## 621 Yasbeck, Mr. Antoni ## 622 Kimball, Mr. Edwin Nelson Jr ## 623 Nakid, Mr. Sahid ## 624 Hansen, Mr. Henry Damsgaard ## 625 Bowen, Mr. David John "Dai" ## 626 Sutton, Mr. Frederick ## 627 Kirkland, Rev. Charles Leonard ## 628 Longley, Miss. Gretchen Fiske ## 629 Bostandyeff, Mr. Guentcho ## 630 O'Connell, Mr. Patrick D ## 631 Barkworth, Mr. Algernon Henry Wilson ## 632 Lundahl, Mr. Johan Svensson ## 633 Stahelin-Maeglin, Dr. Max ## 634 Parr, Mr. William Henry Marsh ## 635 Skoog, Miss. Mabel ## 636 Davis, Miss. Mary ## 637 Leinonen, Mr. Antti Gustaf ## 638 Collyer, Mr. Harvey ## 639 Panula, Mrs. Juha (Maria Emilia Ojala) ## 640 Thorneycroft, Mr. Percival ## 641 Jensen, Mr. Hans Peder ## 642 Sagesser, Mlle. Emma ## 643 Skoog, Miss. Margit Elizabeth ## 644 Foo, Mr. Choong ## 645 Baclini, Miss. Eugenie ## 646 Harper, Mr. Henry Sleeper ## 647 Cor, Mr. Liudevit ## 648 Simonius-Blumer, Col. Oberst Alfons ## 649 Willey, Mr. Edward ## 650 Stanley, Miss. Amy Zillah Elsie ## 651 Mitkoff, Mr. Mito ## 652 Doling, Miss. Elsie ## 653 Kalvik, Mr. Johannes Halvorsen ## 654 O'Leary, Miss. Hanora "Norah" ## 655 Hegarty, Miss. Hanora "Nora" ## 656 Hickman, Mr. Leonard Mark ## 657 Radeff, Mr. Alexander ## 658 Bourke, Mrs. John (Catherine) ## 659 Eitemiller, Mr. George Floyd ## 660 Newell, Mr. Arthur Webster ## 661 Frauenthal, Dr. Henry William ## 662 Badt, Mr. Mohamed ## 663 Colley, Mr. Edward Pomeroy ## 664 Coleff, Mr. Peju ## 665 Lindqvist, Mr. Eino William ## 666 Hickman, Mr. Lewis ## 667 Butler, Mr. Reginald Fenton ## 668 Rommetvedt, Mr. Knud Paust ## 669 Cook, Mr. Jacob ## 670 Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright) ## 671 Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford) ## 672 Davidson, Mr. Thornton ## 673 Mitchell, Mr. Henry Michael ## 674 Wilhelms, Mr. Charles ## 675 Watson, Mr. Ennis Hastings ## 676 Edvardsson, Mr. Gustaf Hjalmar ## 677 Sawyer, Mr. Frederick Charles ## 678 Turja, Miss. Anna Sofia ## 679 Goodwin, Mrs. Frederick (Augusta Tyler) ## 680 Cardeza, Mr. Thomas Drake Martinez ## 681 Peters, Miss. Katie ## 682 Hassab, Mr. Hammad ## 683 Olsvigen, Mr. Thor Anderson ## 684 Goodwin, Mr. Charles Edward ## 685 Brown, Mr. Thomas William Solomon ## 686 Laroche, Mr. Joseph Philippe Lemercier ## 687 Panula, Mr. Jaako Arnold ## 688 Dakic, Mr. Branko ## 689 Fischer, Mr. Eberhard Thelander ## 690 Madill, Miss. Georgette Alexandra ## 691 Dick, Mr. Albert Adrian ## 692 Karun, Miss. Manca ## 693 Lam, Mr. Ali ## 694 Saad, Mr. Khalil ## 695 Weir, Col. John ## 696 Chapman, Mr. Charles Henry ## 697 Kelly, Mr. James ## 698 Mullens, Miss. Katherine "Katie" ## 699 Thayer, Mr. John Borland ## 700 Humblen, Mr. Adolf Mathias Nicolai Olsen ## 701 Astor, Mrs. John Jacob (Madeleine Talmadge Force) ## 702 Silverthorne, Mr. Spencer Victor ## 703 Barbara, Miss. Saiide ## 704 Gallagher, Mr. Martin ## 705 Hansen, Mr. Henrik Juul ## 706 Morley, Mr. Henry Samuel ("Mr Henry Marshall") ## 707 Kelly, Mrs. Florence "Fannie" ## 708 Calderhead, Mr. Edward Pennington ## 709 Cleaver, Miss. Alice ## 710 Moubarek, Master. Halim Gonios ("William George") ## 711 Mayne, Mlle. Berthe Antonine ("Mrs de Villiers") ## 712 Klaber, Mr. Herman ## 713 Taylor, Mr. Elmer Zebley ## 714 Larsson, Mr. August Viktor ## 715 Greenberg, Mr. Samuel ## 716 Soholt, Mr. Peter Andreas Lauritz Andersen ## 717 Endres, Miss. Caroline Louise ## 718 Troutt, Miss. Edwina Celia "Winnie" ## 719 McEvoy, Mr. Michael ## 720 Johnson, Mr. Malkolm Joackim ## 721 Harper, Miss. Annie Jessie "Nina" ## 722 Jensen, Mr. Svend Lauritz ## 723 Gillespie, Mr. William Henry ## 724 Hodges, Mr. Henry Price ## 725 Chambers, Mr. Norman Campbell ## 726 Oreskovic, Mr. Luka ## 727 Renouf, Mrs. Peter Henry (Lillian Jefferys) ## 728 Mannion, Miss. Margareth ## 729 Bryhl, Mr. Kurt Arnold Gottfrid ## 730 Ilmakangas, Miss. Pieta Sofia ## 731 Allen, Miss. Elisabeth Walton ## 732 Hassan, Mr. Houssein G N ## 733 Knight, Mr. Robert J ## 734 Berriman, Mr. William John ## 735 Troupiansky, Mr. Moses Aaron ## 736 Williams, Mr. Leslie ## 737 Ford, Mrs. Edward (Margaret Ann Watson) ## 738 Lesurer, Mr. Gustave J ## 739 Ivanoff, Mr. Kanio ## 740 Nankoff, Mr. Minko ## 741 Hawksford, Mr. Walter James ## 742 Cavendish, Mr. Tyrell William ## 743 Ryerson, Miss. Susan Parker "Suzette" ## 744 McNamee, Mr. Neal ## 745 Stranden, Mr. Juho ## 746 Crosby, Capt. Edward Gifford ## 747 Abbott, Mr. Rossmore Edward ## 748 Sinkkonen, Miss. Anna ## 749 Marvin, Mr. Daniel Warner ## 750 Connaghton, Mr. Michael ## 751 Wells, Miss. Joan ## 752 Moor, Master. Meier ## 753 Vande Velde, Mr. Johannes Joseph ## 754 Jonkoff, Mr. Lalio ## 755 Herman, Mrs. Samuel (Jane Laver) ## 756 Hamalainen, Master. Viljo ## 757 Carlsson, Mr. August Sigfrid ## 758 Bailey, Mr. Percy Andrew ## 759 Theobald, Mr. Thomas Leonard ## 760 Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards) ## 761 Garfirth, Mr. John ## 762 Nirva, Mr. Iisakki Antino Aijo ## 763 Barah, Mr. Hanna Assi ## 764 Carter, Mrs. William Ernest (Lucile Polk) ## 765 Eklund, Mr. Hans Linus ## 766 Hogeboom, Mrs. John C (Anna Andrews) ## 767 Brewe, Dr. Arthur Jackson ## 768 Mangan, Miss. Mary ## 769 Moran, Mr. Daniel J ## 770 Gronnestad, Mr. Daniel Danielsen ## 771 Lievens, Mr. Rene Aime ## 772 Jensen, Mr. Niels Peder ## 773 Mack, Mrs. (Mary) ## 774 Elias, Mr. Dibo ## 775 Hocking, Mrs. Elizabeth (Eliza Needs) ## 776 Myhrman, Mr. Pehr Fabian Oliver Malkolm ## 777 Tobin, Mr. Roger ## 778 Emanuel, Miss. Virginia Ethel ## 779 Kilgannon, Mr. Thomas J ## 780 Robert, Mrs. Edward Scott (Elisabeth Walton McMillan) ## 781 Ayoub, Miss. Banoura ## 782 Dick, Mrs. Albert Adrian (Vera Gillespie) ## 783 Long, Mr. Milton Clyde ## 784 Johnston, Mr. Andrew G ## 785 Ali, Mr. William ## 786 Harmer, Mr. Abraham (David Lishin) ## 787 Sjoblom, Miss. Anna Sofia ## 788 Rice, Master. George Hugh ## 789 Dean, Master. Bertram Vere ## 790 Guggenheim, Mr. Benjamin ## 791 Keane, Mr. Andrew "Andy" ## 792 Gaskell, Mr. Alfred ## 793 Sage, Miss. Stella Anna ## 794 Hoyt, Mr. William Fisher ## 795 Dantcheff, Mr. Ristiu ## 796 Otter, Mr. Richard ## 797 Leader, Dr. Alice (Farnham) ## 798 Osman, Mrs. Mara ## 799 Ibrahim Shawah, Mr. Yousseff ## 800 Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert) ## 801 Ponesell, Mr. Martin ## 802 Collyer, Mrs. Harvey (Charlotte Annie Tate) ## 803 Carter, Master. William Thornton II ## 804 Thomas, Master. Assad Alexander ## 805 Hedman, Mr. Oskar Arvid ## 806 Johansson, Mr. Karl Johan ## 807 Andrews, Mr. Thomas Jr ## 808 Pettersson, Miss. Ellen Natalia ## 809 Meyer, Mr. August ## 810 Chambers, Mrs. Norman Campbell (Bertha Griggs) ## 811 Alexander, Mr. William ## 812 Lester, Mr. James ## 813 Slemen, Mr. Richard James ## 814 Andersson, Miss. Ebba Iris Alfrida ## 815 Tomlin, Mr. Ernest Portage ## 816 Fry, Mr. Richard ## 817 Heininen, Miss. Wendla Maria ## 818 Mallet, Mr. Albert ## 819 Holm, Mr. John Fredrik Alexander ## 820 Skoog, Master. Karl Thorsten ## 821 Hays, Mrs. Charles Melville (Clara Jennings Gregg) ## 822 Lulic, Mr. Nikola ## 823 Reuchlin, Jonkheer. John George ## 824 Moor, Mrs. (Beila) ## 825 Panula, Master. Urho Abraham ## 826 Flynn, Mr. John ## 827 Lam, Mr. Len ## 828 Mallet, Master. Andre ## 829 McCormack, Mr. Thomas Joseph ## 830 Stone, Mrs. George Nelson (Martha Evelyn) ## 831 Yasbeck, Mrs. Antoni (Selini Alexander) ## 832 Richards, Master. George Sibley ## 833 Saad, Mr. Amin ## 834 Augustsson, Mr. Albert ## 835 Allum, Mr. Owen George ## 836 Compton, Miss. Sara Rebecca ## 837 Pasic, Mr. Jakob ## 838 Sirota, Mr. Maurice ## 839 Chip, Mr. Chang ## 840 Marechal, Mr. Pierre ## 841 Alhomaki, Mr. Ilmari Rudolf ## 842 Mudd, Mr. Thomas Charles ## 843 Serepeca, Miss. Augusta ## 844 Lemberopolous, Mr. Peter L ## 845 Culumovic, Mr. Jeso ## 846 Abbing, Mr. Anthony ## 847 Sage, Mr. Douglas Bullen ## 848 Markoff, Mr. Marin ## 849 Harper, Rev. John ## 850 Goldenberg, Mrs. Samuel L (Edwiga Grabowska) ## 851 Andersson, Master. Sigvard Harald Elias ## 852 Svensson, Mr. Johan ## 853 Boulos, Miss. Nourelain ## 854 Lines, Miss. Mary Conover ## 855 Carter, Mrs. Ernest Courtenay (Lilian Hughes) ## 856 Aks, Mrs. Sam (Leah Rosen) ## 857 Wick, Mrs. George Dennick (Mary Hitchcock) ## 858 Daly, Mr. Peter Denis ## 859 Baclini, Mrs. Solomon (Latifa Qurban) ## 860 Razi, Mr. Raihed ## 861 Hansen, Mr. Claus Peter ## 862 Giles, Mr. Frederick Edward ## 863 Swift, Mrs. Frederick Joel (Margaret Welles Barron) ## 864 Sage, Miss. Dorothy Edith "Dolly" ## 865 Gill, Mr. John William ## 866 Bystrom, Mrs. (Karolina) ## 867 Duran y More, Miss. Asuncion ## 868 Roebling, Mr. Washington Augustus II ## 869 van Melkebeke, Mr. Philemon ## 870 Johnson, Master. Harold Theodor ## 871 Balkic, Mr. Cerin ## 872 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) ## 873 Carlsson, Mr. Frans Olof ## 874 Vander Cruyssen, Mr. Victor ## 875 Abelson, Mrs. Samuel (Hannah Wizosky) ## 876 Najib, Miss. Adele Kiamie "Jane" ## 877 Gustafsson, Mr. Alfred Ossian ## 878 Petroff, Mr. Nedelio ## 879 Laleff, Mr. Kristo ## 880 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) ## 881 Shelley, Mrs. William (Imanita Parrish Hall) ## 882 Markun, Mr. Johann ## 883 Dahlberg, Miss. Gerda Ulrika ## 884 Banfield, Mr. Frederick James ## 885 Sutehall, Mr. Henry Jr ## 886 Rice, Mrs. William (Margaret Norton) ## 887 Montvila, Rev. Juozas ## 888 Graham, Miss. Margaret Edith ## 889 Johnston, Miss. Catherine Helen "Carrie" ## 890 Behr, Mr. Karl Howell ## 891 Dooley, Mr. Patrick ## Sex Age SibSp Parch Ticket Fare Cabin ## 1 male 22.00 1 0 A/5 21171 7.2500 ## 2 female 38.00 1 0 PC 17599 71.2833 C85 ## 3 female 26.00 0 0 STON/O2. 3101282 7.9250 ## 4 female 35.00 1 0 113803 53.1000 C123 ## 5 male 35.00 0 0 373450 8.0500 ## 6 male NA 0 0 330877 8.4583 ## 7 male 54.00 0 0 17463 51.8625 E46 ## 8 male 2.00 3 1 349909 21.0750 ## 9 female 27.00 0 2 347742 11.1333 ## 10 female 14.00 1 0 237736 30.0708 ## 11 female 4.00 1 1 PP 9549 16.7000 G6 ## 12 female 58.00 0 0 113783 26.5500 C103 ## 13 male 20.00 0 0 A/5. 2151 8.0500 ## 14 male 39.00 1 5 347082 31.2750 ## 15 female 14.00 0 0 350406 7.8542 ## 16 female 55.00 0 0 248706 16.0000 ## 17 male 2.00 4 1 382652 29.1250 ## 18 male NA 0 0 244373 13.0000 ## 19 female 31.00 1 0 345763 18.0000 ## 20 female NA 0 0 2649 7.2250 ## 21 male 35.00 0 0 239865 26.0000 ## 22 male 34.00 0 0 248698 13.0000 D56 ## 23 female 15.00 0 0 330923 8.0292 ## 24 male 28.00 0 0 113788 35.5000 A6 ## 25 female 8.00 3 1 349909 21.0750 ## 26 female 38.00 1 5 347077 31.3875 ## 27 male NA 0 0 2631 7.2250 ## 28 male 19.00 3 2 19950 263.0000 C23 C25 C27 ## 29 female NA 0 0 330959 7.8792 ## 30 male NA 0 0 349216 7.8958 ## 31 male 40.00 0 0 PC 17601 27.7208 ## 32 female NA 1 0 PC 17569 146.5208 B78 ## 33 female NA 0 0 335677 7.7500 ## 34 male 66.00 0 0 C.A. 24579 10.5000 ## 35 male 28.00 1 0 PC 17604 82.1708 ## 36 male 42.00 1 0 113789 52.0000 ## 37 male NA 0 0 2677 7.2292 ## 38 male 21.00 0 0 A./5. 2152 8.0500 ## 39 female 18.00 2 0 345764 18.0000 ## 40 female 14.00 1 0 2651 11.2417 ## 41 female 40.00 1 0 7546 9.4750 ## 42 female 27.00 1 0 11668 21.0000 ## 43 male NA 0 0 349253 7.8958 ## 44 female 3.00 1 2 SC/Paris 2123 41.5792 ## 45 female 19.00 0 0 330958 7.8792 ## 46 male NA 0 0 S.C./A.4. 23567 8.0500 ## 47 male NA 1 0 370371 15.5000 ## 48 female NA 0 0 14311 7.7500 ## 49 male NA 2 0 2662 21.6792 ## 50 female 18.00 1 0 349237 17.8000 ## 51 male 7.00 4 1 3101295 39.6875 ## 52 male 21.00 0 0 A/4. 39886 7.8000 ## 53 female 49.00 1 0 PC 17572 76.7292 D33 ## 54 female 29.00 1 0 2926 26.0000 ## 55 male 65.00 0 1 113509 61.9792 B30 ## 56 male NA 0 0 19947 35.5000 C52 ## 57 female 21.00 0 0 C.A. 31026 10.5000 ## 58 male 28.50 0 0 2697 7.2292 ## 59 female 5.00 1 2 C.A. 34651 27.7500 ## 60 male 11.00 5 2 CA 2144 46.9000 ## 61 male 22.00 0 0 2669 7.2292 ## 62 female 38.00 0 0 113572 80.0000 B28 ## 63 male 45.00 1 0 36973 83.4750 C83 ## 64 male 4.00 3 2 347088 27.9000 ## 65 male NA 0 0 PC 17605 27.7208 ## 66 male NA 1 1 2661 15.2458 ## 67 female 29.00 0 0 C.A. 29395 10.5000 F33 ## 68 male 19.00 0 0 S.P. 3464 8.1583 ## 69 female 17.00 4 2 3101281 7.9250 ## 70 male 26.00 2 0 315151 8.6625 ## 71 male 32.00 0 0 C.A. 33111 10.5000 ## 72 female 16.00 5 2 CA 2144 46.9000 ## 73 male 21.00 0 0 S.O.C. 14879 73.5000 ## 74 male 26.00 1 0 2680 14.4542 ## 75 male 32.00 0 0 1601 56.4958 ## 76 male 25.00 0 0 348123 7.6500 F G73 ## 77 male NA 0 0 349208 7.8958 ## 78 male NA 0 0 374746 8.0500 ## 79 male 0.83 0 2 248738 29.0000 ## 80 female 30.00 0 0 364516 12.4750 ## 81 male 22.00 0 0 345767 9.0000 ## 82 male 29.00 0 0 345779 9.5000 ## 83 female NA 0 0 330932 7.7875 ## 84 male 28.00 0 0 113059 47.1000 ## 85 female 17.00 0 0 SO/C 14885 10.5000 ## 86 female 33.00 3 0 3101278 15.8500 ## 87 male 16.00 1 3 W./C. 6608 34.3750 ## 88 male NA 0 0 SOTON/OQ 392086 8.0500 ## 89 female 23.00 3 2 19950 263.0000 C23 C25 C27 ## 90 male 24.00 0 0 343275 8.0500 ## 91 male 29.00 0 0 343276 8.0500 ## 92 male 20.00 0 0 347466 7.8542 ## 93 male 46.00 1 0 W.E.P. 5734 61.1750 E31 ## 94 male 26.00 1 2 C.A. 2315 20.5750 ## 95 male 59.00 0 0 364500 7.2500 ## 96 male NA 0 0 374910 8.0500 ## 97 male 71.00 0 0 PC 17754 34.6542 A5 ## 98 male 23.00 0 1 PC 17759 63.3583 D10 D12 ## 99 female 34.00 0 1 231919 23.0000 ## 100 male 34.00 1 0 244367 26.0000 ## 101 female 28.00 0 0 349245 7.8958 ## 102 male NA 0 0 349215 7.8958 ## 103 male 21.00 0 1 35281 77.2875 D26 ## 104 male 33.00 0 0 7540 8.6542 ## 105 male 37.00 2 0 3101276 7.9250 ## 106 male 28.00 0 0 349207 7.8958 ## 107 female 21.00 0 0 343120 7.6500 ## 108 male NA 0 0 312991 7.7750 ## 109 male 38.00 0 0 349249 7.8958 ## 110 female NA 1 0 371110 24.1500 ## 111 male 47.00 0 0 110465 52.0000 C110 ## 112 female 14.50 1 0 2665 14.4542 ## 113 male 22.00 0 0 324669 8.0500 ## 114 female 20.00 1 0 4136 9.8250 ## 115 female 17.00 0 0 2627 14.4583 ## 116 male 21.00 0 0 STON/O 2. 3101294 7.9250 ## 117 male 70.50 0 0 370369 7.7500 ## 118 male 29.00 1 0 11668 21.0000 ## 119 male 24.00 0 1 PC 17558 247.5208 B58 B60 ## 120 female 2.00 4 2 347082 31.2750 ## 121 male 21.00 2 0 S.O.C. 14879 73.5000 ## 122 male NA 0 0 A4. 54510 8.0500 ## 123 male 32.50 1 0 237736 30.0708 ## 124 female 32.50 0 0 27267 13.0000 E101 ## 125 male 54.00 0 1 35281 77.2875 D26 ## 126 male 12.00 1 0 2651 11.2417 ## 127 male NA 0 0 370372 7.7500 ## 128 male 24.00 0 0 C 17369 7.1417 ## 129 female NA 1 1 2668 22.3583 F E69 ## 130 male 45.00 0 0 347061 6.9750 ## 131 male 33.00 0 0 349241 7.8958 ## 132 male 20.00 0 0 SOTON/O.Q. 3101307 7.0500 ## 133 female 47.00 1 0 A/5. 3337 14.5000 ## 134 female 29.00 1 0 228414 26.0000 ## 135 male 25.00 0 0 C.A. 29178 13.0000 ## 136 male 23.00 0 0 SC/PARIS 2133 15.0458 ## 137 female 19.00 0 2 11752 26.2833 D47 ## 138 male 37.00 1 0 113803 53.1000 C123 ## 139 male 16.00 0 0 7534 9.2167 ## 140 male 24.00 0 0 PC 17593 79.2000 B86 ## 141 female NA 0 2 2678 15.2458 ## 142 female 22.00 0 0 347081 7.7500 ## 143 female 24.00 1 0 STON/O2. 3101279 15.8500 ## 144 male 19.00 0 0 365222 6.7500 ## 145 male 18.00 0 0 231945 11.5000 ## 146 male 19.00 1 1 C.A. 33112 36.7500 ## 147 male 27.00 0 0 350043 7.7958 ## 148 female 9.00 2 2 W./C. 6608 34.3750 ## 149 male 36.50 0 2 230080 26.0000 F2 ## 150 male 42.00 0 0 244310 13.0000 ## 151 male 51.00 0 0 S.O.P. 1166 12.5250 ## 152 female 22.00 1 0 113776 66.6000 C2 ## 153 male 55.50 0 0 A.5. 11206 8.0500 ## 154 male 40.50 0 2 A/5. 851 14.5000 ## 155 male NA 0 0 Fa 265302 7.3125 ## 156 male 51.00 0 1 PC 17597 61.3792 ## 157 female 16.00 0 0 35851 7.7333 ## 158 male 30.00 0 0 SOTON/OQ 392090 8.0500 ## 159 male NA 0 0 315037 8.6625 ## 160 male NA 8 2 CA. 2343 69.5500 ## 161 male 44.00 0 1 371362 16.1000 ## 162 female 40.00 0 0 C.A. 33595 15.7500 ## 163 male 26.00 0 0 347068 7.7750 ## 164 male 17.00 0 0 315093 8.6625 ## 165 male 1.00 4 1 3101295 39.6875 ## 166 male 9.00 0 2 363291 20.5250 ## 167 female NA 0 1 113505 55.0000 E33 ## 168 female 45.00 1 4 347088 27.9000 ## 169 male NA 0 0 PC 17318 25.9250 ## 170 male 28.00 0 0 1601 56.4958 ## 171 male 61.00 0 0 111240 33.5000 B19 ## 172 male 4.00 4 1 382652 29.1250 ## 173 female 1.00 1 1 347742 11.1333 ## 174 male 21.00 0 0 STON/O 2. 3101280 7.9250 ## 175 male 56.00 0 0 17764 30.6958 A7 ## 176 male 18.00 1 1 350404 7.8542 ## 177 male NA 3 1 4133 25.4667 ## 178 female 50.00 0 0 PC 17595 28.7125 C49 ## 179 male 30.00 0 0 250653 13.0000 ## 180 male 36.00 0 0 LINE 0.0000 ## 181 female NA 8 2 CA. 2343 69.5500 ## 182 male NA 0 0 SC/PARIS 2131 15.0500 ## 183 male 9.00 4 2 347077 31.3875 ## 184 male 1.00 2 1 230136 39.0000 F4 ## 185 female 4.00 0 2 315153 22.0250 ## 186 male NA 0 0 113767 50.0000 A32 ## 187 female NA 1 0 370365 15.5000 ## 188 male 45.00 0 0 111428 26.5500 ## 189 male 40.00 1 1 364849 15.5000 ## 190 male 36.00 0 0 349247 7.8958 ## 191 female 32.00 0 0 234604 13.0000 ## 192 male 19.00 0 0 28424 13.0000 ## 193 female 19.00 1 0 350046 7.8542 ## 194 male 3.00 1 1 230080 26.0000 F2 ## 195 female 44.00 0 0 PC 17610 27.7208 B4 ## 196 female 58.00 0 0 PC 17569 146.5208 B80 ## 197 male NA 0 0 368703 7.7500 ## 198 male 42.00 0 1 4579 8.4042 ## 199 female NA 0 0 370370 7.7500 ## 200 female 24.00 0 0 248747 13.0000 ## 201 male 28.00 0 0 345770 9.5000 ## 202 male NA 8 2 CA. 2343 69.5500 ## 203 male 34.00 0 0 3101264 6.4958 ## 204 male 45.50 0 0 2628 7.2250 ## 205 male 18.00 0 0 A/5 3540 8.0500 ## 206 female 2.00 0 1 347054 10.4625 G6 ## 207 male 32.00 1 0 3101278 15.8500 ## 208 male 26.00 0 0 2699 18.7875 ## 209 female 16.00 0 0 367231 7.7500 ## 210 male 40.00 0 0 112277 31.0000 A31 ## 211 male 24.00 0 0 SOTON/O.Q. 3101311 7.0500 ## 212 female 35.00 0 0 F.C.C. 13528 21.0000 ## 213 male 22.00 0 0 A/5 21174 7.2500 ## 214 male 30.00 0 0 250646 13.0000 ## 215 male NA 1 0 367229 7.7500 ## 216 female 31.00 1 0 35273 113.2750 D36 ## 217 female 27.00 0 0 STON/O2. 3101283 7.9250 ## 218 male 42.00 1 0 243847 27.0000 ## 219 female 32.00 0 0 11813 76.2917 D15 ## 220 male 30.00 0 0 W/C 14208 10.5000 ## 221 male 16.00 0 0 SOTON/OQ 392089 8.0500 ## 222 male 27.00 0 0 220367 13.0000 ## 223 male 51.00 0 0 21440 8.0500 ## 224 male NA 0 0 349234 7.8958 ## 225 male 38.00 1 0 19943 90.0000 C93 ## 226 male 22.00 0 0 PP 4348 9.3500 ## 227 male 19.00 0 0 SW/PP 751 10.5000 ## 228 male 20.50 0 0 A/5 21173 7.2500 ## 229 male 18.00 0 0 236171 13.0000 ## 230 female NA 3 1 4133 25.4667 ## 231 female 35.00 1 0 36973 83.4750 C83 ## 232 male 29.00 0 0 347067 7.7750 ## 233 male 59.00 0 0 237442 13.5000 ## 234 female 5.00 4 2 347077 31.3875 ## 235 male 24.00 0 0 C.A. 29566 10.5000 ## 236 female NA 0 0 W./C. 6609 7.5500 ## 237 male 44.00 1 0 26707 26.0000 ## 238 female 8.00 0 2 C.A. 31921 26.2500 ## 239 male 19.00 0 0 28665 10.5000 ## 240 male 33.00 0 0 SCO/W 1585 12.2750 ## 241 female NA 1 0 2665 14.4542 ## 242 female NA 1 0 367230 15.5000 ## 243 male 29.00 0 0 W./C. 14263 10.5000 ## 244 male 22.00 0 0 STON/O 2. 3101275 7.1250 ## 245 male 30.00 0 0 2694 7.2250 ## 246 male 44.00 2 0 19928 90.0000 C78 ## 247 female 25.00 0 0 347071 7.7750 ## 248 female 24.00 0 2 250649 14.5000 ## 249 male 37.00 1 1 11751 52.5542 D35 ## 250 male 54.00 1 0 244252 26.0000 ## 251 male NA 0 0 362316 7.2500 ## 252 female 29.00 1 1 347054 10.4625 G6 ## 253 male 62.00 0 0 113514 26.5500 C87 ## 254 male 30.00 1 0 A/5. 3336 16.1000 ## 255 female 41.00 0 2 370129 20.2125 ## 256 female 29.00 0 2 2650 15.2458 ## 257 female NA 0 0 PC 17585 79.2000 ## 258 female 30.00 0 0 110152 86.5000 B77 ## 259 female 35.00 0 0 PC 17755 512.3292 ## 260 female 50.00 0 1 230433 26.0000 ## 261 male NA 0 0 384461 7.7500 ## 262 male 3.00 4 2 347077 31.3875 ## 263 male 52.00 1 1 110413 79.6500 E67 ## 264 male 40.00 0 0 112059 0.0000 B94 ## 265 female NA 0 0 382649 7.7500 ## 266 male 36.00 0 0 C.A. 17248 10.5000 ## 267 male 16.00 4 1 3101295 39.6875 ## 268 male 25.00 1 0 347083 7.7750 ## 269 female 58.00 0 1 PC 17582 153.4625 C125 ## 270 female 35.00 0 0 PC 17760 135.6333 C99 ## 271 male NA 0 0 113798 31.0000 ## 272 male 25.00 0 0 LINE 0.0000 ## 273 female 41.00 0 1 250644 19.5000 ## 274 male 37.00 0 1 PC 17596 29.7000 C118 ## 275 female NA 0 0 370375 7.7500 ## 276 female 63.00 1 0 13502 77.9583 D7 ## 277 female 45.00 0 0 347073 7.7500 ## 278 male NA 0 0 239853 0.0000 ## 279 male 7.00 4 1 382652 29.1250 ## 280 female 35.00 1 1 C.A. 2673 20.2500 ## 281 male 65.00 0 0 336439 7.7500 ## 282 male 28.00 0 0 347464 7.8542 ## 283 male 16.00 0 0 345778 9.5000 ## 284 male 19.00 0 0 A/5. 10482 8.0500 ## 285 male NA 0 0 113056 26.0000 A19 ## 286 male 33.00 0 0 349239 8.6625 ## 287 male 30.00 0 0 345774 9.5000 ## 288 male 22.00 0 0 349206 7.8958 ## 289 male 42.00 0 0 237798 13.0000 ## 290 female 22.00 0 0 370373 7.7500 ## 291 female 26.00 0 0 19877 78.8500 ## 292 female 19.00 1 0 11967 91.0792 B49 ## 293 male 36.00 0 0 SC/Paris 2163 12.8750 D ## 294 female 24.00 0 0 349236 8.8500 ## 295 male 24.00 0 0 349233 7.8958 ## 296 male NA 0 0 PC 17612 27.7208 ## 297 male 23.50 0 0 2693 7.2292 ## 298 female 2.00 1 2 113781 151.5500 C22 C26 ## 299 male NA 0 0 19988 30.5000 C106 ## 300 female 50.00 0 1 PC 17558 247.5208 B58 B60 ## 301 female NA 0 0 9234 7.7500 ## 302 male NA 2 0 367226 23.2500 ## 303 male 19.00 0 0 LINE 0.0000 ## 304 female NA 0 0 226593 12.3500 E101 ## 305 male NA 0 0 A/5 2466 8.0500 ## 306 male 0.92 1 2 113781 151.5500 C22 C26 ## 307 female NA 0 0 17421 110.8833 ## 308 female 17.00 1 0 PC 17758 108.9000 C65 ## 309 male 30.00 1 0 P/PP 3381 24.0000 ## 310 female 30.00 0 0 PC 17485 56.9292 E36 ## 311 female 24.00 0 0 11767 83.1583 C54 ## 312 female 18.00 2 2 PC 17608 262.3750 B57 B59 B63 B66 ## 313 female 26.00 1 1 250651 26.0000 ## 314 male 28.00 0 0 349243 7.8958 ## 315 male 43.00 1 1 F.C.C. 13529 26.2500 ## 316 female 26.00 0 0 347470 7.8542 ## 317 female 24.00 1 0 244367 26.0000 ## 318 male 54.00 0 0 29011 14.0000 ## 319 female 31.00 0 2 36928 164.8667 C7 ## 320 female 40.00 1 1 16966 134.5000 E34 ## 321 male 22.00 0 0 A/5 21172 7.2500 ## 322 male 27.00 0 0 349219 7.8958 ## 323 female 30.00 0 0 234818 12.3500 ## 324 female 22.00 1 1 248738 29.0000 ## 325 male NA 8 2 CA. 2343 69.5500 ## 326 female 36.00 0 0 PC 17760 135.6333 C32 ## 327 male 61.00 0 0 345364 6.2375 ## 328 female 36.00 0 0 28551 13.0000 D ## 329 female 31.00 1 1 363291 20.5250 ## 330 female 16.00 0 1 111361 57.9792 B18 ## 331 female NA 2 0 367226 23.2500 ## 332 male 45.50 0 0 113043 28.5000 C124 ## 333 male 38.00 0 1 PC 17582 153.4625 C91 ## 334 male 16.00 2 0 345764 18.0000 ## 335 female NA 1 0 PC 17611 133.6500 ## 336 male NA 0 0 349225 7.8958 ## 337 male 29.00 1 0 113776 66.6000 C2 ## 338 female 41.00 0 0 16966 134.5000 E40 ## 339 male 45.00 0 0 7598 8.0500 ## 340 male 45.00 0 0 113784 35.5000 T ## 341 male 2.00 1 1 230080 26.0000 F2 ## 342 female 24.00 3 2 19950 263.0000 C23 C25 C27 ## 343 male 28.00 0 0 248740 13.0000 ## 344 male 25.00 0 0 244361 13.0000 ## 345 male 36.00 0 0 229236 13.0000 ## 346 female 24.00 0 0 248733 13.0000 F33 ## 347 female 40.00 0 0 31418 13.0000 ## 348 female NA 1 0 386525 16.1000 ## 349 male 3.00 1 1 C.A. 37671 15.9000 ## 350 male 42.00 0 0 315088 8.6625 ## 351 male 23.00 0 0 7267 9.2250 ## 352 male NA 0 0 113510 35.0000 C128 ## 353 male 15.00 1 1 2695 7.2292 ## 354 male 25.00 1 0 349237 17.8000 ## 355 male NA 0 0 2647 7.2250 ## 356 male 28.00 0 0 345783 9.5000 ## 357 female 22.00 0 1 113505 55.0000 E33 ## 358 female 38.00 0 0 237671 13.0000 ## 359 female NA 0 0 330931 7.8792 ## 360 female NA 0 0 330980 7.8792 ## 361 male 40.00 1 4 347088 27.9000 ## 362 male 29.00 1 0 SC/PARIS 2167 27.7208 ## 363 female 45.00 0 1 2691 14.4542 ## 364 male 35.00 0 0 SOTON/O.Q. 3101310 7.0500 ## 365 male NA 1 0 370365 15.5000 ## 366 male 30.00 0 0 C 7076 7.2500 ## 367 female 60.00 1 0 110813 75.2500 D37 ## 368 female NA 0 0 2626 7.2292 ## 369 female NA 0 0 14313 7.7500 ## 370 female 24.00 0 0 PC 17477 69.3000 B35 ## 371 male 25.00 1 0 11765 55.4417 E50 ## 372 male 18.00 1 0 3101267 6.4958 ## 373 male 19.00 0 0 323951 8.0500 ## 374 male 22.00 0 0 PC 17760 135.6333 ## 375 female 3.00 3 1 349909 21.0750 ## 376 female NA 1 0 PC 17604 82.1708 ## 377 female 22.00 0 0 C 7077 7.2500 ## 378 male 27.00 0 2 113503 211.5000 C82 ## 379 male 20.00 0 0 2648 4.0125 ## 380 male 19.00 0 0 347069 7.7750 ## 381 female 42.00 0 0 PC 17757 227.5250 ## 382 female 1.00 0 2 2653 15.7417 ## 383 male 32.00 0 0 STON/O 2. 3101293 7.9250 ## 384 female 35.00 1 0 113789 52.0000 ## 385 male NA 0 0 349227 7.8958 ## 386 male 18.00 0 0 S.O.C. 14879 73.5000 ## 387 male 1.00 5 2 CA 2144 46.9000 ## 388 female 36.00 0 0 27849 13.0000 ## 389 male NA 0 0 367655 7.7292 ## 390 female 17.00 0 0 SC 1748 12.0000 ## 391 male 36.00 1 2 113760 120.0000 B96 B98 ## 392 male 21.00 0 0 350034 7.7958 ## 393 male 28.00 2 0 3101277 7.9250 ## 394 female 23.00 1 0 35273 113.2750 D36 ## 395 female 24.00 0 2 PP 9549 16.7000 G6 ## 396 male 22.00 0 0 350052 7.7958 ## 397 female 31.00 0 0 350407 7.8542 ## 398 male 46.00 0 0 28403 26.0000 ## 399 male 23.00 0 0 244278 10.5000 ## 400 female 28.00 0 0 240929 12.6500 ## 401 male 39.00 0 0 STON/O 2. 3101289 7.9250 ## 402 male 26.00 0 0 341826 8.0500 ## 403 female 21.00 1 0 4137 9.8250 ## 404 male 28.00 1 0 STON/O2. 3101279 15.8500 ## 405 female 20.00 0 0 315096 8.6625 ## 406 male 34.00 1 0 28664 21.0000 ## 407 male 51.00 0 0 347064 7.7500 ## 408 male 3.00 1 1 29106 18.7500 ## 409 male 21.00 0 0 312992 7.7750 ## 410 female NA 3 1 4133 25.4667 ## 411 male NA 0 0 349222 7.8958 ## 412 male NA 0 0 394140 6.8583 ## 413 female 33.00 1 0 19928 90.0000 C78 ## 414 male NA 0 0 239853 0.0000 ## 415 male 44.00 0 0 STON/O 2. 3101269 7.9250 ## 416 female NA 0 0 343095 8.0500 ## 417 female 34.00 1 1 28220 32.5000 ## 418 female 18.00 0 2 250652 13.0000 ## 419 male 30.00 0 0 28228 13.0000 ## 420 female 10.00 0 2 345773 24.1500 ## 421 male NA 0 0 349254 7.8958 ## 422 male 21.00 0 0 A/5. 13032 7.7333 ## 423 male 29.00 0 0 315082 7.8750 ## 424 female 28.00 1 1 347080 14.4000 ## 425 male 18.00 1 1 370129 20.2125 ## 426 male NA 0 0 A/4. 34244 7.2500 ## 427 female 28.00 1 0 2003 26.0000 ## 428 female 19.00 0 0 250655 26.0000 ## 429 male NA 0 0 364851 7.7500 ## 430 male 32.00 0 0 SOTON/O.Q. 392078 8.0500 E10 ## 431 male 28.00 0 0 110564 26.5500 C52 ## 432 female NA 1 0 376564 16.1000 ## 433 female 42.00 1 0 SC/AH 3085 26.0000 ## 434 male 17.00 0 0 STON/O 2. 3101274 7.1250 ## 435 male 50.00 1 0 13507 55.9000 E44 ## 436 female 14.00 1 2 113760 120.0000 B96 B98 ## 437 female 21.00 2 2 W./C. 6608 34.3750 ## 438 female 24.00 2 3 29106 18.7500 ## 439 male 64.00 1 4 19950 263.0000 C23 C25 C27 ## 440 male 31.00 0 0 C.A. 18723 10.5000 ## 441 female 45.00 1 1 F.C.C. 13529 26.2500 ## 442 male 20.00 0 0 345769 9.5000 ## 443 male 25.00 1 0 347076 7.7750 ## 444 female 28.00 0 0 230434 13.0000 ## 445 male NA 0 0 65306 8.1125 ## 446 male 4.00 0 2 33638 81.8583 A34 ## 447 female 13.00 0 1 250644 19.5000 ## 448 male 34.00 0 0 113794 26.5500 ## 449 female 5.00 2 1 2666 19.2583 ## 450 male 52.00 0 0 113786 30.5000 C104 ## 451 male 36.00 1 2 C.A. 34651 27.7500 ## 452 male NA 1 0 65303 19.9667 ## 453 male 30.00 0 0 113051 27.7500 C111 ## 454 male 49.00 1 0 17453 89.1042 C92 ## 455 male NA 0 0 A/5 2817 8.0500 ## 456 male 29.00 0 0 349240 7.8958 ## 457 male 65.00 0 0 13509 26.5500 E38 ## 458 female NA 1 0 17464 51.8625 D21 ## 459 female 50.00 0 0 F.C.C. 13531 10.5000 ## 460 male NA 0 0 371060 7.7500 ## 461 male 48.00 0 0 19952 26.5500 E12 ## 462 male 34.00 0 0 364506 8.0500 ## 463 male 47.00 0 0 111320 38.5000 E63 ## 464 male 48.00 0 0 234360 13.0000 ## 465 male NA 0 0 A/S 2816 8.0500 ## 466 male 38.00 0 0 SOTON/O.Q. 3101306 7.0500 ## 467 male NA 0 0 239853 0.0000 ## 468 male 56.00 0 0 113792 26.5500 ## 469 male NA 0 0 36209 7.7250 ## 470 female 0.75 2 1 2666 19.2583 ## 471 male NA 0 0 323592 7.2500 ## 472 male 38.00 0 0 315089 8.6625 ## 473 female 33.00 1 2 C.A. 34651 27.7500 ## 474 female 23.00 0 0 SC/AH Basle 541 13.7917 D ## 475 female 22.00 0 0 7553 9.8375 ## 476 male NA 0 0 110465 52.0000 A14 ## 477 male 34.00 1 0 31027 21.0000 ## 478 male 29.00 1 0 3460 7.0458 ## 479 male 22.00 0 0 350060 7.5208 ## 480 female 2.00 0 1 3101298 12.2875 ## 481 male 9.00 5 2 CA 2144 46.9000 ## 482 male NA 0 0 239854 0.0000 ## 483 male 50.00 0 0 A/5 3594 8.0500 ## 484 female 63.00 0 0 4134 9.5875 ## 485 male 25.00 1 0 11967 91.0792 B49 ## 486 female NA 3 1 4133 25.4667 ## 487 female 35.00 1 0 19943 90.0000 C93 ## 488 male 58.00 0 0 11771 29.7000 B37 ## 489 male 30.00 0 0 A.5. 18509 8.0500 ## 490 male 9.00 1 1 C.A. 37671 15.9000 ## 491 male NA 1 0 65304 19.9667 ## 492 male 21.00 0 0 SOTON/OQ 3101317 7.2500 ## 493 male 55.00 0 0 113787 30.5000 C30 ## 494 male 71.00 0 0 PC 17609 49.5042 ## 495 male 21.00 0 0 A/4 45380 8.0500 ## 496 male NA 0 0 2627 14.4583 ## 497 female 54.00 1 0 36947 78.2667 D20 ## 498 male NA 0 0 C.A. 6212 15.1000 ## 499 female 25.00 1 2 113781 151.5500 C22 C26 ## 500 male 24.00 0 0 350035 7.7958 ## 501 male 17.00 0 0 315086 8.6625 ## 502 female 21.00 0 0 364846 7.7500 ## 503 female NA 0 0 330909 7.6292 ## 504 female 37.00 0 0 4135 9.5875 ## 505 female 16.00 0 0 110152 86.5000 B79 ## 506 male 18.00 1 0 PC 17758 108.9000 C65 ## 507 female 33.00 0 2 26360 26.0000 ## 508 male NA 0 0 111427 26.5500 ## 509 male 28.00 0 0 C 4001 22.5250 ## 510 male 26.00 0 0 1601 56.4958 ## 511 male 29.00 0 0 382651 7.7500 ## 512 male NA 0 0 SOTON/OQ 3101316 8.0500 ## 513 male 36.00 0 0 PC 17473 26.2875 E25 ## 514 female 54.00 1 0 PC 17603 59.4000 ## 515 male 24.00 0 0 349209 7.4958 ## 516 male 47.00 0 0 36967 34.0208 D46 ## 517 female 34.00 0 0 C.A. 34260 10.5000 F33 ## 518 male NA 0 0 371110 24.1500 ## 519 female 36.00 1 0 226875 26.0000 ## 520 male 32.00 0 0 349242 7.8958 ## 521 female 30.00 0 0 12749 93.5000 B73 ## 522 male 22.00 0 0 349252 7.8958 ## 523 male NA 0 0 2624 7.2250 ## 524 female 44.00 0 1 111361 57.9792 B18 ## 525 male NA 0 0 2700 7.2292 ## 526 male 40.50 0 0 367232 7.7500 ## 527 female 50.00 0 0 W./C. 14258 10.5000 ## 528 male NA 0 0 PC 17483 221.7792 C95 ## 529 male 39.00 0 0 3101296 7.9250 ## 530 male 23.00 2 1 29104 11.5000 ## 531 female 2.00 1 1 26360 26.0000 ## 532 male NA 0 0 2641 7.2292 ## 533 male 17.00 1 1 2690 7.2292 ## 534 female NA 0 2 2668 22.3583 ## 535 female 30.00 0 0 315084 8.6625 ## 536 female 7.00 0 2 F.C.C. 13529 26.2500 ## 537 male 45.00 0 0 113050 26.5500 B38 ## 538 female 30.00 0 0 PC 17761 106.4250 ## 539 male NA 0 0 364498 14.5000 ## 540 female 22.00 0 2 13568 49.5000 B39 ## 541 female 36.00 0 2 WE/P 5735 71.0000 B22 ## 542 female 9.00 4 2 347082 31.2750 ## 543 female 11.00 4 2 347082 31.2750 ## 544 male 32.00 1 0 2908 26.0000 ## 545 male 50.00 1 0 PC 17761 106.4250 C86 ## 546 male 64.00 0 0 693 26.0000 ## 547 female 19.00 1 0 2908 26.0000 ## 548 male NA 0 0 SC/PARIS 2146 13.8625 ## 549 male 33.00 1 1 363291 20.5250 ## 550 male 8.00 1 1 C.A. 33112 36.7500 ## 551 male 17.00 0 2 17421 110.8833 C70 ## 552 male 27.00 0 0 244358 26.0000 ## 553 male NA 0 0 330979 7.8292 ## 554 male 22.00 0 0 2620 7.2250 ## 555 female 22.00 0 0 347085 7.7750 ## 556 male 62.00 0 0 113807 26.5500 ## 557 female 48.00 1 0 11755 39.6000 A16 ## 558 male NA 0 0 PC 17757 227.5250 ## 559 female 39.00 1 1 110413 79.6500 E67 ## 560 female 36.00 1 0 345572 17.4000 ## 561 male NA 0 0 372622 7.7500 ## 562 male 40.00 0 0 349251 7.8958 ## 563 male 28.00 0 0 218629 13.5000 ## 564 male NA 0 0 SOTON/OQ 392082 8.0500 ## 565 female NA 0 0 SOTON/O.Q. 392087 8.0500 ## 566 male 24.00 2 0 A/4 48871 24.1500 ## 567 male 19.00 0 0 349205 7.8958 ## 568 female 29.00 0 4 349909 21.0750 ## 569 male NA 0 0 2686 7.2292 ## 570 male 32.00 0 0 350417 7.8542 ## 571 male 62.00 0 0 S.W./PP 752 10.5000 ## 572 female 53.00 2 0 11769 51.4792 C101 ## 573 male 36.00 0 0 PC 17474 26.3875 E25 ## 574 female NA 0 0 14312 7.7500 ## 575 male 16.00 0 0 A/4. 20589 8.0500 ## 576 male 19.00 0 0 358585 14.5000 ## 577 female 34.00 0 0 243880 13.0000 ## 578 female 39.00 1 0 13507 55.9000 E44 ## 579 female NA 1 0 2689 14.4583 ## 580 male 32.00 0 0 STON/O 2. 3101286 7.9250 ## 581 female 25.00 1 1 237789 30.0000 ## 582 female 39.00 1 1 17421 110.8833 C68 ## 583 male 54.00 0 0 28403 26.0000 ## 584 male 36.00 0 0 13049 40.1250 A10 ## 585 male NA 0 0 3411 8.7125 ## 586 female 18.00 0 2 110413 79.6500 E68 ## 587 male 47.00 0 0 237565 15.0000 ## 588 male 60.00 1 1 13567 79.2000 B41 ## 589 male 22.00 0 0 14973 8.0500 ## 590 male NA 0 0 A./5. 3235 8.0500 ## 591 male 35.00 0 0 STON/O 2. 3101273 7.1250 ## 592 female 52.00 1 0 36947 78.2667 D20 ## 593 male 47.00 0 0 A/5 3902 7.2500 ## 594 female NA 0 2 364848 7.7500 ## 595 male 37.00 1 0 SC/AH 29037 26.0000 ## 596 male 36.00 1 1 345773 24.1500 ## 597 female NA 0 0 248727 33.0000 ## 598 male 49.00 0 0 LINE 0.0000 ## 599 male NA 0 0 2664 7.2250 ## 600 male 49.00 1 0 PC 17485 56.9292 A20 ## 601 female 24.00 2 1 243847 27.0000 ## 602 male NA 0 0 349214 7.8958 ## 603 male NA 0 0 113796 42.4000 ## 604 male 44.00 0 0 364511 8.0500 ## 605 male 35.00 0 0 111426 26.5500 ## 606 male 36.00 1 0 349910 15.5500 ## 607 male 30.00 0 0 349246 7.8958 ## 608 male 27.00 0 0 113804 30.5000 ## 609 female 22.00 1 2 SC/Paris 2123 41.5792 ## 610 female 40.00 0 0 PC 17582 153.4625 C125 ## 611 female 39.00 1 5 347082 31.2750 ## 612 male NA 0 0 SOTON/O.Q. 3101305 7.0500 ## 613 female NA 1 0 367230 15.5000 ## 614 male NA 0 0 370377 7.7500 ## 615 male 35.00 0 0 364512 8.0500 ## 616 female 24.00 1 2 220845 65.0000 ## 617 male 34.00 1 1 347080 14.4000 ## 618 female 26.00 1 0 A/5. 3336 16.1000 ## 619 female 4.00 2 1 230136 39.0000 F4 ## 620 male 26.00 0 0 31028 10.5000 ## 621 male 27.00 1 0 2659 14.4542 ## 622 male 42.00 1 0 11753 52.5542 D19 ## 623 male 20.00 1 1 2653 15.7417 ## 624 male 21.00 0 0 350029 7.8542 ## 625 male 21.00 0 0 54636 16.1000 ## 626 male 61.00 0 0 36963 32.3208 D50 ## 627 male 57.00 0 0 219533 12.3500 ## 628 female 21.00 0 0 13502 77.9583 D9 ## 629 male 26.00 0 0 349224 7.8958 ## 630 male NA 0 0 334912 7.7333 ## 631 male 80.00 0 0 27042 30.0000 A23 ## 632 male 51.00 0 0 347743 7.0542 ## 633 male 32.00 0 0 13214 30.5000 B50 ## 634 male NA 0 0 112052 0.0000 ## 635 female 9.00 3 2 347088 27.9000 ## 636 female 28.00 0 0 237668 13.0000 ## 637 male 32.00 0 0 STON/O 2. 3101292 7.9250 ## 638 male 31.00 1 1 C.A. 31921 26.2500 ## 639 female 41.00 0 5 3101295 39.6875 ## 640 male NA 1 0 376564 16.1000 ## 641 male 20.00 0 0 350050 7.8542 ## 642 female 24.00 0 0 PC 17477 69.3000 B35 ## 643 female 2.00 3 2 347088 27.9000 ## 644 male NA 0 0 1601 56.4958 ## 645 female 0.75 2 1 2666 19.2583 ## 646 male 48.00 1 0 PC 17572 76.7292 D33 ## 647 male 19.00 0 0 349231 7.8958 ## 648 male 56.00 0 0 13213 35.5000 A26 ## 649 male NA 0 0 S.O./P.P. 751 7.5500 ## 650 female 23.00 0 0 CA. 2314 7.5500 ## 651 male NA 0 0 349221 7.8958 ## 652 female 18.00 0 1 231919 23.0000 ## 653 male 21.00 0 0 8475 8.4333 ## 654 female NA 0 0 330919 7.8292 ## 655 female 18.00 0 0 365226 6.7500 ## 656 male 24.00 2 0 S.O.C. 14879 73.5000 ## 657 male NA 0 0 349223 7.8958 ## 658 female 32.00 1 1 364849 15.5000 ## 659 male 23.00 0 0 29751 13.0000 ## 660 male 58.00 0 2 35273 113.2750 D48 ## 661 male 50.00 2 0 PC 17611 133.6500 ## 662 male 40.00 0 0 2623 7.2250 ## 663 male 47.00 0 0 5727 25.5875 E58 ## 664 male 36.00 0 0 349210 7.4958 ## 665 male 20.00 1 0 STON/O 2. 3101285 7.9250 ## 666 male 32.00 2 0 S.O.C. 14879 73.5000 ## 667 male 25.00 0 0 234686 13.0000 ## 668 male NA 0 0 312993 7.7750 ## 669 male 43.00 0 0 A/5 3536 8.0500 ## 670 female NA 1 0 19996 52.0000 C126 ## 671 female 40.00 1 1 29750 39.0000 ## 672 male 31.00 1 0 F.C. 12750 52.0000 B71 ## 673 male 70.00 0 0 C.A. 24580 10.5000 ## 674 male 31.00 0 0 244270 13.0000 ## 675 male NA 0 0 239856 0.0000 ## 676 male 18.00 0 0 349912 7.7750 ## 677 male 24.50 0 0 342826 8.0500 ## 678 female 18.00 0 0 4138 9.8417 ## 679 female 43.00 1 6 CA 2144 46.9000 ## 680 male 36.00 0 1 PC 17755 512.3292 B51 B53 B55 ## 681 female NA 0 0 330935 8.1375 ## 682 male 27.00 0 0 PC 17572 76.7292 D49 ## 683 male 20.00 0 0 6563 9.2250 ## 684 male 14.00 5 2 CA 2144 46.9000 ## 685 male 60.00 1 1 29750 39.0000 ## 686 male 25.00 1 2 SC/Paris 2123 41.5792 ## 687 male 14.00 4 1 3101295 39.6875 ## 688 male 19.00 0 0 349228 10.1708 ## 689 male 18.00 0 0 350036 7.7958 ## 690 female 15.00 0 1 24160 211.3375 B5 ## 691 male 31.00 1 0 17474 57.0000 B20 ## 692 female 4.00 0 1 349256 13.4167 ## 693 male NA 0 0 1601 56.4958 ## 694 male 25.00 0 0 2672 7.2250 ## 695 male 60.00 0 0 113800 26.5500 ## 696 male 52.00 0 0 248731 13.5000 ## 697 male 44.00 0 0 363592 8.0500 ## 698 female NA 0 0 35852 7.7333 ## 699 male 49.00 1 1 17421 110.8833 C68 ## 700 male 42.00 0 0 348121 7.6500 F G63 ## 701 female 18.00 1 0 PC 17757 227.5250 C62 C64 ## 702 male 35.00 0 0 PC 17475 26.2875 E24 ## 703 female 18.00 0 1 2691 14.4542 ## 704 male 25.00 0 0 36864 7.7417 ## 705 male 26.00 1 0 350025 7.8542 ## 706 male 39.00 0 0 250655 26.0000 ## 707 female 45.00 0 0 223596 13.5000 ## 708 male 42.00 0 0 PC 17476 26.2875 E24 ## 709 female 22.00 0 0 113781 151.5500 ## 710 male NA 1 1 2661 15.2458 ## 711 female 24.00 0 0 PC 17482 49.5042 C90 ## 712 male NA 0 0 113028 26.5500 C124 ## 713 male 48.00 1 0 19996 52.0000 C126 ## 714 male 29.00 0 0 7545 9.4833 ## 715 male 52.00 0 0 250647 13.0000 ## 716 male 19.00 0 0 348124 7.6500 F G73 ## 717 female 38.00 0 0 PC 17757 227.5250 C45 ## 718 female 27.00 0 0 34218 10.5000 E101 ## 719 male NA 0 0 36568 15.5000 ## 720 male 33.00 0 0 347062 7.7750 ## 721 female 6.00 0 1 248727 33.0000 ## 722 male 17.00 1 0 350048 7.0542 ## 723 male 34.00 0 0 12233 13.0000 ## 724 male 50.00 0 0 250643 13.0000 ## 725 male 27.00 1 0 113806 53.1000 E8 ## 726 male 20.00 0 0 315094 8.6625 ## 727 female 30.00 3 0 31027 21.0000 ## 728 female NA 0 0 36866 7.7375 ## 729 male 25.00 1 0 236853 26.0000 ## 730 female 25.00 1 0 STON/O2. 3101271 7.9250 ## 731 female 29.00 0 0 24160 211.3375 B5 ## 732 male 11.00 0 0 2699 18.7875 ## 733 male NA 0 0 239855 0.0000 ## 734 male 23.00 0 0 28425 13.0000 ## 735 male 23.00 0 0 233639 13.0000 ## 736 male 28.50 0 0 54636 16.1000 ## 737 female 48.00 1 3 W./C. 6608 34.3750 ## 738 male 35.00 0 0 PC 17755 512.3292 B101 ## 739 male NA 0 0 349201 7.8958 ## 740 male NA 0 0 349218 7.8958 ## 741 male NA 0 0 16988 30.0000 D45 ## 742 male 36.00 1 0 19877 78.8500 C46 ## 743 female 21.00 2 2 PC 17608 262.3750 B57 B59 B63 B66 ## 744 male 24.00 1 0 376566 16.1000 ## 745 male 31.00 0 0 STON/O 2. 3101288 7.9250 ## 746 male 70.00 1 1 WE/P 5735 71.0000 B22 ## 747 male 16.00 1 1 C.A. 2673 20.2500 ## 748 female 30.00 0 0 250648 13.0000 ## 749 male 19.00 1 0 113773 53.1000 D30 ## 750 male 31.00 0 0 335097 7.7500 ## 751 female 4.00 1 1 29103 23.0000 ## 752 male 6.00 0 1 392096 12.4750 E121 ## 753 male 33.00 0 0 345780 9.5000 ## 754 male 23.00 0 0 349204 7.8958 ## 755 female 48.00 1 2 220845 65.0000 ## 756 male 0.67 1 1 250649 14.5000 ## 757 male 28.00 0 0 350042 7.7958 ## 758 male 18.00 0 0 29108 11.5000 ## 759 male 34.00 0 0 363294 8.0500 ## 760 female 33.00 0 0 110152 86.5000 B77 ## 761 male NA 0 0 358585 14.5000 ## 762 male 41.00 0 0 SOTON/O2 3101272 7.1250 ## 763 male 20.00 0 0 2663 7.2292 ## 764 female 36.00 1 2 113760 120.0000 B96 B98 ## 765 male 16.00 0 0 347074 7.7750 ## 766 female 51.00 1 0 13502 77.9583 D11 ## 767 male NA 0 0 112379 39.6000 ## 768 female 30.50 0 0 364850 7.7500 ## 769 male NA 1 0 371110 24.1500 ## 770 male 32.00 0 0 8471 8.3625 ## 771 male 24.00 0 0 345781 9.5000 ## 772 male 48.00 0 0 350047 7.8542 ## 773 female 57.00 0 0 S.O./P.P. 3 10.5000 E77 ## 774 male NA 0 0 2674 7.2250 ## 775 female 54.00 1 3 29105 23.0000 ## 776 male 18.00 0 0 347078 7.7500 ## 777 male NA 0 0 383121 7.7500 F38 ## 778 female 5.00 0 0 364516 12.4750 ## 779 male NA 0 0 36865 7.7375 ## 780 female 43.00 0 1 24160 211.3375 B3 ## 781 female 13.00 0 0 2687 7.2292 ## 782 female 17.00 1 0 17474 57.0000 B20 ## 783 male 29.00 0 0 113501 30.0000 D6 ## 784 male NA 1 2 W./C. 6607 23.4500 ## 785 male 25.00 0 0 SOTON/O.Q. 3101312 7.0500 ## 786 male 25.00 0 0 374887 7.2500 ## 787 female 18.00 0 0 3101265 7.4958 ## 788 male 8.00 4 1 382652 29.1250 ## 789 male 1.00 1 2 C.A. 2315 20.5750 ## 790 male 46.00 0 0 PC 17593 79.2000 B82 B84 ## 791 male NA 0 0 12460 7.7500 ## 792 male 16.00 0 0 239865 26.0000 ## 793 female NA 8 2 CA. 2343 69.5500 ## 794 male NA 0 0 PC 17600 30.6958 ## 795 male 25.00 0 0 349203 7.8958 ## 796 male 39.00 0 0 28213 13.0000 ## 797 female 49.00 0 0 17465 25.9292 D17 ## 798 female 31.00 0 0 349244 8.6833 ## 799 male 30.00 0 0 2685 7.2292 ## 800 female 30.00 1 1 345773 24.1500 ## 801 male 34.00 0 0 250647 13.0000 ## 802 female 31.00 1 1 C.A. 31921 26.2500 ## 803 male 11.00 1 2 113760 120.0000 B96 B98 ## 804 male 0.42 0 1 2625 8.5167 ## 805 male 27.00 0 0 347089 6.9750 ## 806 male 31.00 0 0 347063 7.7750 ## 807 male 39.00 0 0 112050 0.0000 A36 ## 808 female 18.00 0 0 347087 7.7750 ## 809 male 39.00 0 0 248723 13.0000 ## 810 female 33.00 1 0 113806 53.1000 E8 ## 811 male 26.00 0 0 3474 7.8875 ## 812 male 39.00 0 0 A/4 48871 24.1500 ## 813 male 35.00 0 0 28206 10.5000 ## 814 female 6.00 4 2 347082 31.2750 ## 815 male 30.50 0 0 364499 8.0500 ## 816 male NA 0 0 112058 0.0000 B102 ## 817 female 23.00 0 0 STON/O2. 3101290 7.9250 ## 818 male 31.00 1 1 S.C./PARIS 2079 37.0042 ## 819 male 43.00 0 0 C 7075 6.4500 ## 820 male 10.00 3 2 347088 27.9000 ## 821 female 52.00 1 1 12749 93.5000 B69 ## 822 male 27.00 0 0 315098 8.6625 ## 823 male 38.00 0 0 19972 0.0000 ## 824 female 27.00 0 1 392096 12.4750 E121 ## 825 male 2.00 4 1 3101295 39.6875 ## 826 male NA 0 0 368323 6.9500 ## 827 male NA 0 0 1601 56.4958 ## 828 male 1.00 0 2 S.C./PARIS 2079 37.0042 ## 829 male NA 0 0 367228 7.7500 ## 830 female 62.00 0 0 113572 80.0000 B28 ## 831 female 15.00 1 0 2659 14.4542 ## 832 male 0.83 1 1 29106 18.7500 ## 833 male NA 0 0 2671 7.2292 ## 834 male 23.00 0 0 347468 7.8542 ## 835 male 18.00 0 0 2223 8.3000 ## 836 female 39.00 1 1 PC 17756 83.1583 E49 ## 837 male 21.00 0 0 315097 8.6625 ## 838 male NA 0 0 392092 8.0500 ## 839 male 32.00 0 0 1601 56.4958 ## 840 male NA 0 0 11774 29.7000 C47 ## 841 male 20.00 0 0 SOTON/O2 3101287 7.9250 ## 842 male 16.00 0 0 S.O./P.P. 3 10.5000 ## 843 female 30.00 0 0 113798 31.0000 ## 844 male 34.50 0 0 2683 6.4375 ## 845 male 17.00 0 0 315090 8.6625 ## 846 male 42.00 0 0 C.A. 5547 7.5500 ## 847 male NA 8 2 CA. 2343 69.5500 ## 848 male 35.00 0 0 349213 7.8958 ## 849 male 28.00 0 1 248727 33.0000 ## 850 female NA 1 0 17453 89.1042 C92 ## 851 male 4.00 4 2 347082 31.2750 ## 852 male 74.00 0 0 347060 7.7750 ## 853 female 9.00 1 1 2678 15.2458 ## 854 female 16.00 0 1 PC 17592 39.4000 D28 ## 855 female 44.00 1 0 244252 26.0000 ## 856 female 18.00 0 1 392091 9.3500 ## 857 female 45.00 1 1 36928 164.8667 ## 858 male 51.00 0 0 113055 26.5500 E17 ## 859 female 24.00 0 3 2666 19.2583 ## 860 male NA 0 0 2629 7.2292 ## 861 male 41.00 2 0 350026 14.1083 ## 862 male 21.00 1 0 28134 11.5000 ## 863 female 48.00 0 0 17466 25.9292 D17 ## 864 female NA 8 2 CA. 2343 69.5500 ## 865 male 24.00 0 0 233866 13.0000 ## 866 female 42.00 0 0 236852 13.0000 ## 867 female 27.00 1 0 SC/PARIS 2149 13.8583 ## 868 male 31.00 0 0 PC 17590 50.4958 A24 ## 869 male NA 0 0 345777 9.5000 ## 870 male 4.00 1 1 347742 11.1333 ## 871 male 26.00 0 0 349248 7.8958 ## 872 female 47.00 1 1 11751 52.5542 D35 ## 873 male 33.00 0 0 695 5.0000 B51 B53 B55 ## 874 male 47.00 0 0 345765 9.0000 ## 875 female 28.00 1 0 P/PP 3381 24.0000 ## 876 female 15.00 0 0 2667 7.2250 ## 877 male 20.00 0 0 7534 9.8458 ## 878 male 19.00 0 0 349212 7.8958 ## 879 male NA 0 0 349217 7.8958 ## 880 female 56.00 0 1 11767 83.1583 C50 ## 881 female 25.00 0 1 230433 26.0000 ## 882 male 33.00 0 0 349257 7.8958 ## 883 female 22.00 0 0 7552 10.5167 ## 884 male 28.00 0 0 C.A./SOTON 34068 10.5000 ## 885 male 25.00 0 0 SOTON/OQ 392076 7.0500 ## 886 female 39.00 0 5 382652 29.1250 ## 887 male 27.00 0 0 211536 13.0000 ## 888 female 19.00 0 0 112053 30.0000 B42 ## 889 female NA 1 2 W./C. 6607 23.4500 ## 890 male 26.00 0 0 111369 30.0000 C148 ## 891 male 32.00 0 0 370376 7.7500 ## Embarked age_new ## 1 S 130.00 ## 2 C 146.00 ## 3 S 134.00 ## 4 S 143.00 ## 5 S 143.00 ## 6 Q NA ## 7 S 162.00 ## 8 S 110.00 ## 9 S 135.00 ## 10 C 122.00 ## 11 S 112.00 ## 12 S 166.00 ## 13 S 128.00 ## 14 S 147.00 ## 15 S 122.00 ## 16 S 163.00 ## 17 Q 110.00 ## 18 S NA ## 19 S 139.00 ## 20 C NA ## 21 S 143.00 ## 22 S 142.00 ## 23 Q 123.00 ## 24 S 136.00 ## 25 S 116.00 ## 26 S 146.00 ## 27 C NA ## 28 S 127.00 ## 29 Q NA ## 30 S NA ## 31 C 148.00 ## 32 C NA ## 33 Q NA ## 34 S 174.00 ## 35 C 136.00 ## 36 S 150.00 ## 37 C NA ## 38 S 129.00 ## 39 S 126.00 ## 40 C 122.00 ## 41 S 148.00 ## 42 S 135.00 ## 43 C NA ## 44 C 111.00 ## 45 Q 127.00 ## 46 S NA ## 47 Q NA ## 48 Q NA ## 49 C NA ## 50 S 126.00 ## 51 S 115.00 ## 52 S 129.00 ## 53 C 157.00 ## 54 S 137.00 ## 55 C 173.00 ## 56 S NA ## 57 S 129.00 ## 58 C 136.50 ## 59 S 113.00 ## 60 S 119.00 ## 61 C 130.00 ## 62 146.00 ## 63 S 153.00 ## 64 S 112.00 ## 65 C NA ## 66 C NA ## 67 S 137.00 ## 68 S 127.00 ## 69 S 125.00 ## 70 S 134.00 ## 71 S 140.00 ## 72 S 124.00 ## 73 S 129.00 ## 74 C 134.00 ## 75 S 140.00 ## 76 S 133.00 ## 77 S NA ## 78 S NA ## 79 S 108.83 ## 80 S 138.00 ## 81 S 130.00 ## 82 S 137.00 ## 83 Q NA ## 84 S 136.00 ## 85 S 125.00 ## 86 S 141.00 ## 87 S 124.00 ## 88 S NA ## 89 S 131.00 ## 90 S 132.00 ## 91 S 137.00 ## 92 S 128.00 ## 93 S 154.00 ## 94 S 134.00 ## 95 S 167.00 ## 96 S NA ## 97 C 179.00 ## 98 C 131.00 ## 99 S 142.00 ## 100 S 142.00 ## 101 S 136.00 ## 102 S NA ## 103 S 129.00 ## 104 S 141.00 ## 105 S 145.00 ## 106 S 136.00 ## 107 S 129.00 ## 108 S NA ## 109 S 146.00 ## 110 Q NA ## 111 S 155.00 ## 112 C 122.50 ## 113 S 130.00 ## 114 S 128.00 ## 115 C 125.00 ## 116 S 129.00 ## 117 Q 178.50 ## 118 S 137.00 ## 119 C 132.00 ## 120 S 110.00 ## 121 S 129.00 ## 122 S NA ## 123 C 140.50 ## 124 S 140.50 ## 125 S 162.00 ## 126 C 120.00 ## 127 Q NA ## 128 S 132.00 ## 129 C NA ## 130 S 153.00 ## 131 C 141.00 ## 132 S 128.00 ## 133 S 155.00 ## 134 S 137.00 ## 135 S 133.00 ## 136 C 131.00 ## 137 S 127.00 ## 138 S 145.00 ## 139 S 124.00 ## 140 C 132.00 ## 141 C NA ## 142 S 130.00 ## 143 S 132.00 ## 144 Q 127.00 ## 145 S 126.00 ## 146 S 127.00 ## 147 S 135.00 ## 148 S 117.00 ## 149 S 144.50 ## 150 S 150.00 ## 151 S 159.00 ## 152 S 130.00 ## 153 S 163.50 ## 154 S 148.50 ## 155 S NA ## 156 C 159.00 ## 157 Q 124.00 ## 158 S 138.00 ## 159 S NA ## 160 S NA ## 161 S 152.00 ## 162 S 148.00 ## 163 S 134.00 ## 164 S 125.00 ## 165 S 109.00 ## 166 S 117.00 ## 167 S NA ## 168 S 153.00 ## 169 S NA ## 170 S 136.00 ## 171 S 169.00 ## 172 Q 112.00 ## 173 S 109.00 ## 174 S 129.00 ## 175 C 164.00 ## 176 S 126.00 ## 177 S NA ## 178 C 158.00 ## 179 S 138.00 ## 180 S 144.00 ## 181 S NA ## 182 C NA ## 183 S 117.00 ## 184 S 109.00 ## 185 S 112.00 ## 186 S NA ## 187 Q NA ## 188 S 153.00 ## 189 Q 148.00 ## 190 S 144.00 ## 191 S 140.00 ## 192 S 127.00 ## 193 S 127.00 ## 194 S 111.00 ## 195 C 152.00 ## 196 C 166.00 ## 197 Q NA ## 198 S 150.00 ## 199 Q NA ## 200 S 132.00 ## 201 S 136.00 ## 202 S NA ## 203 S 142.00 ## 204 C 153.50 ## 205 S 126.00 ## 206 S 110.00 ## 207 S 140.00 ## 208 C 134.00 ## 209 Q 124.00 ## 210 C 148.00 ## 211 S 132.00 ## 212 S 143.00 ## 213 S 130.00 ## 214 S 138.00 ## 215 Q NA ## 216 C 139.00 ## 217 S 135.00 ## 218 S 150.00 ## 219 C 140.00 ## 220 S 138.00 ## 221 S 124.00 ## 222 S 135.00 ## 223 S 159.00 ## 224 S NA ## 225 S 146.00 ## 226 S 130.00 ## 227 S 127.00 ## 228 S 128.50 ## 229 S 126.00 ## 230 S NA ## 231 S 143.00 ## 232 S 137.00 ## 233 S 167.00 ## 234 S 113.00 ## 235 S 132.00 ## 236 S NA ## 237 S 152.00 ## 238 S 116.00 ## 239 S 127.00 ## 240 S 141.00 ## 241 C NA ## 242 Q NA ## 243 S 137.00 ## 244 S 130.00 ## 245 C 138.00 ## 246 Q 152.00 ## 247 S 133.00 ## 248 S 132.00 ## 249 S 145.00 ## 250 S 162.00 ## 251 S NA ## 252 S 137.00 ## 253 S 170.00 ## 254 S 138.00 ## 255 S 149.00 ## 256 C 137.00 ## 257 C NA ## 258 S 138.00 ## 259 C 143.00 ## 260 S 158.00 ## 261 Q NA ## 262 S 111.00 ## 263 S 160.00 ## 264 S 148.00 ## 265 Q NA ## 266 S 144.00 ## 267 S 124.00 ## 268 S 133.00 ## 269 S 166.00 ## 270 S 143.00 ## 271 S NA ## 272 S 133.00 ## 273 S 149.00 ## 274 C 145.00 ## 275 Q NA ## 276 S 171.00 ## 277 S 153.00 ## 278 S NA ## 279 Q 115.00 ## 280 S 143.00 ## 281 Q 173.00 ## 282 S 136.00 ## 283 S 124.00 ## 284 S 127.00 ## 285 S NA ## 286 C 141.00 ## 287 S 138.00 ## 288 S 130.00 ## 289 S 150.00 ## 290 Q 130.00 ## 291 S 134.00 ## 292 C 127.00 ## 293 C 144.00 ## 294 S 132.00 ## 295 S 132.00 ## 296 C NA ## 297 C 131.50 ## 298 S 110.00 ## 299 S NA ## 300 C 158.00 ## 301 Q NA ## 302 Q NA ## 303 S 127.00 ## 304 Q NA ## 305 S NA ## 306 S 108.92 ## 307 C NA ## 308 C 125.00 ## 309 C 138.00 ## 310 C 138.00 ## 311 C 132.00 ## 312 C 126.00 ## 313 S 134.00 ## 314 S 136.00 ## 315 S 151.00 ## 316 S 134.00 ## 317 S 132.00 ## 318 S 162.00 ## 319 S 139.00 ## 320 C 148.00 ## 321 S 130.00 ## 322 S 135.00 ## 323 Q 138.00 ## 324 S 130.00 ## 325 S NA ## 326 C 144.00 ## 327 S 169.00 ## 328 S 144.00 ## 329 S 139.00 ## 330 C 124.00 ## 331 Q NA ## 332 S 153.50 ## 333 S 146.00 ## 334 S 124.00 ## 335 S NA ## 336 S NA ## 337 S 137.00 ## 338 C 149.00 ## 339 S 153.00 ## 340 S 153.00 ## 341 S 110.00 ## 342 S 132.00 ## 343 S 136.00 ## 344 S 133.00 ## 345 S 144.00 ## 346 S 132.00 ## 347 S 148.00 ## 348 S NA ## 349 S 111.00 ## 350 S 150.00 ## 351 S 131.00 ## 352 S NA ## 353 C 123.00 ## 354 S 133.00 ## 355 C NA ## 356 S 136.00 ## 357 S 130.00 ## 358 S 146.00 ## 359 Q NA ## 360 Q NA ## 361 S 148.00 ## 362 C 137.00 ## 363 C 153.00 ## 364 S 143.00 ## 365 Q NA ## 366 S 138.00 ## 367 C 168.00 ## 368 C NA ## 369 Q NA ## 370 C 132.00 ## 371 C 133.00 ## 372 S 126.00 ## 373 S 127.00 ## 374 C 130.00 ## 375 S 111.00 ## 376 C NA ## 377 S 130.00 ## 378 C 135.00 ## 379 C 128.00 ## 380 S 127.00 ## 381 C 150.00 ## 382 C 109.00 ## 383 S 140.00 ## 384 S 143.00 ## 385 S NA ## 386 S 126.00 ## 387 S 109.00 ## 388 S 144.00 ## 389 Q NA ## 390 C 125.00 ## 391 S 144.00 ## 392 S 129.00 ## 393 S 136.00 ## 394 C 131.00 ## 395 S 132.00 ## 396 S 130.00 ## 397 S 139.00 ## 398 S 154.00 ## 399 S 131.00 ## 400 S 136.00 ## 401 S 147.00 ## 402 S 134.00 ## 403 S 129.00 ## 404 S 136.00 ## 405 S 128.00 ## 406 S 142.00 ## 407 S 159.00 ## 408 S 111.00 ## 409 S 129.00 ## 410 S NA ## 411 S NA ## 412 Q NA ## 413 Q 141.00 ## 414 S NA ## 415 S 152.00 ## 416 S NA ## 417 S 142.00 ## 418 S 126.00 ## 419 S 138.00 ## 420 S 118.00 ## 421 C NA ## 422 Q 129.00 ## 423 S 137.00 ## 424 S 136.00 ## 425 S 126.00 ## 426 S NA ## 427 S 136.00 ## 428 S 127.00 ## 429 Q NA ## 430 S 140.00 ## 431 S 136.00 ## 432 S NA ## 433 S 150.00 ## 434 S 125.00 ## 435 S 158.00 ## 436 S 122.00 ## 437 S 129.00 ## 438 S 132.00 ## 439 S 172.00 ## 440 S 139.00 ## 441 S 153.00 ## 442 S 128.00 ## 443 S 133.00 ## 444 S 136.00 ## 445 S NA ## 446 S 112.00 ## 447 S 121.00 ## 448 S 142.00 ## 449 C 113.00 ## 450 S 160.00 ## 451 S 144.00 ## 452 S NA ## 453 C 138.00 ## 454 C 157.00 ## 455 S NA ## 456 C 137.00 ## 457 S 173.00 ## 458 S NA ## 459 S 158.00 ## 460 Q NA ## 461 S 156.00 ## 462 S 142.00 ## 463 S 155.00 ## 464 S 156.00 ## 465 S NA ## 466 S 146.00 ## 467 S NA ## 468 S 164.00 ## 469 Q NA ## 470 C 108.75 ## 471 S NA ## 472 S 146.00 ## 473 S 141.00 ## 474 C 131.00 ## 475 S 130.00 ## 476 S NA ## 477 S 142.00 ## 478 S 137.00 ## 479 S 130.00 ## 480 S 110.00 ## 481 S 117.00 ## 482 S NA ## 483 S 158.00 ## 484 S 171.00 ## 485 C 133.00 ## 486 S NA ## 487 S 143.00 ## 488 C 166.00 ## 489 S 138.00 ## 490 S 117.00 ## 491 S NA ## 492 S 129.00 ## 493 S 163.00 ## 494 C 179.00 ## 495 S 129.00 ## 496 C NA ## 497 C 162.00 ## 498 S NA ## 499 S 133.00 ## 500 S 132.00 ## 501 S 125.00 ## 502 Q 129.00 ## 503 Q NA ## 504 S 145.00 ## 505 S 124.00 ## 506 C 126.00 ## 507 S 141.00 ## 508 S NA ## 509 S 136.00 ## 510 S 134.00 ## 511 Q 137.00 ## 512 S NA ## 513 S 144.00 ## 514 C 162.00 ## 515 S 132.00 ## 516 S 155.00 ## 517 S 142.00 ## 518 Q NA ## 519 S 144.00 ## 520 S 140.00 ## 521 S 138.00 ## 522 S 130.00 ## 523 C NA ## 524 C 152.00 ## 525 C NA ## 526 Q 148.50 ## 527 S 158.00 ## 528 S NA ## 529 S 147.00 ## 530 S 131.00 ## 531 S 110.00 ## 532 C NA ## 533 C 125.00 ## 534 C NA ## 535 S 138.00 ## 536 S 115.00 ## 537 S 153.00 ## 538 C 138.00 ## 539 S NA ## 540 C 130.00 ## 541 S 144.00 ## 542 S 117.00 ## 543 S 119.00 ## 544 S 140.00 ## 545 C 158.00 ## 546 S 172.00 ## 547 S 127.00 ## 548 C NA ## 549 S 141.00 ## 550 S 116.00 ## 551 C 125.00 ## 552 S 135.00 ## 553 Q NA ## 554 C 130.00 ## 555 S 130.00 ## 556 S 170.00 ## 557 C 156.00 ## 558 C NA ## 559 S 147.00 ## 560 S 144.00 ## 561 Q NA ## 562 S 148.00 ## 563 S 136.00 ## 564 S NA ## 565 S NA ## 566 S 132.00 ## 567 S 127.00 ## 568 S 137.00 ## 569 C NA ## 570 S 140.00 ## 571 S 170.00 ## 572 S 161.00 ## 573 S 144.00 ## 574 Q NA ## 575 S 124.00 ## 576 S 127.00 ## 577 S 142.00 ## 578 S 147.00 ## 579 C NA ## 580 S 140.00 ## 581 S 133.00 ## 582 C 147.00 ## 583 S 162.00 ## 584 C 144.00 ## 585 C NA ## 586 S 126.00 ## 587 S 155.00 ## 588 C 168.00 ## 589 S 130.00 ## 590 S NA ## 591 S 143.00 ## 592 C 160.00 ## 593 S 155.00 ## 594 Q NA ## 595 S 145.00 ## 596 S 144.00 ## 597 S NA ## 598 S 157.00 ## 599 C NA ## 600 C 157.00 ## 601 S 132.00 ## 602 S NA ## 603 S NA ## 604 S 152.00 ## 605 C 143.00 ## 606 S 144.00 ## 607 S 138.00 ## 608 S 135.00 ## 609 C 130.00 ## 610 S 148.00 ## 611 S 147.00 ## 612 S NA ## 613 Q NA ## 614 Q NA ## 615 S 143.00 ## 616 S 132.00 ## 617 S 142.00 ## 618 S 134.00 ## 619 S 112.00 ## 620 S 134.00 ## 621 C 135.00 ## 622 S 150.00 ## 623 C 128.00 ## 624 S 129.00 ## 625 S 129.00 ## 626 S 169.00 ## 627 Q 165.00 ## 628 S 129.00 ## 629 S 134.00 ## 630 Q NA ## 631 S 188.00 ## 632 S 159.00 ## 633 C 140.00 ## 634 S NA ## 635 S 117.00 ## 636 S 136.00 ## 637 S 140.00 ## 638 S 139.00 ## 639 S 149.00 ## 640 S NA ## 641 S 128.00 ## 642 C 132.00 ## 643 S 110.00 ## 644 S NA ## 645 C 108.75 ## 646 C 156.00 ## 647 S 127.00 ## 648 C 164.00 ## 649 S NA ## 650 S 131.00 ## 651 S NA ## 652 S 126.00 ## 653 S 129.00 ## 654 Q NA ## 655 Q 126.00 ## 656 S 132.00 ## 657 S NA ## 658 Q 140.00 ## 659 S 131.00 ## 660 C 166.00 ## 661 S 158.00 ## 662 C 148.00 ## 663 S 155.00 ## 664 S 144.00 ## 665 S 128.00 ## 666 S 140.00 ## 667 S 133.00 ## 668 S NA ## 669 S 151.00 ## 670 S NA ## 671 S 148.00 ## 672 S 139.00 ## 673 S 178.00 ## 674 S 139.00 ## 675 S NA ## 676 S 126.00 ## 677 S 132.50 ## 678 S 126.00 ## 679 S 151.00 ## 680 C 144.00 ## 681 Q NA ## 682 C 135.00 ## 683 S 128.00 ## 684 S 122.00 ## 685 S 168.00 ## 686 C 133.00 ## 687 S 122.00 ## 688 S 127.00 ## 689 S 126.00 ## 690 S 123.00 ## 691 S 139.00 ## 692 C 112.00 ## 693 S NA ## 694 C 133.00 ## 695 S 168.00 ## 696 S 160.00 ## 697 S 152.00 ## 698 Q NA ## 699 C 157.00 ## 700 S 150.00 ## 701 C 126.00 ## 702 S 143.00 ## 703 C 126.00 ## 704 Q 133.00 ## 705 S 134.00 ## 706 S 147.00 ## 707 S 153.00 ## 708 S 150.00 ## 709 S 130.00 ## 710 C NA ## 711 C 132.00 ## 712 S NA ## 713 S 156.00 ## 714 S 137.00 ## 715 S 160.00 ## 716 S 127.00 ## 717 C 146.00 ## 718 S 135.00 ## 719 Q NA ## 720 S 141.00 ## 721 S 114.00 ## 722 S 125.00 ## 723 S 142.00 ## 724 S 158.00 ## 725 S 135.00 ## 726 S 128.00 ## 727 S 138.00 ## 728 Q NA ## 729 S 133.00 ## 730 S 133.00 ## 731 S 137.00 ## 732 C 119.00 ## 733 S NA ## 734 S 131.00 ## 735 S 131.00 ## 736 S 136.50 ## 737 S 156.00 ## 738 C 143.00 ## 739 S NA ## 740 S NA ## 741 S NA ## 742 S 144.00 ## 743 C 129.00 ## 744 S 132.00 ## 745 S 139.00 ## 746 S 178.00 ## 747 S 124.00 ## 748 S 138.00 ## 749 S 127.00 ## 750 Q 139.00 ## 751 S 112.00 ## 752 S 114.00 ## 753 S 141.00 ## 754 S 131.00 ## 755 S 156.00 ## 756 S 108.67 ## 757 S 136.00 ## 758 S 126.00 ## 759 S 142.00 ## 760 S 141.00 ## 761 S NA ## 762 S 149.00 ## 763 C 128.00 ## 764 S 144.00 ## 765 S 124.00 ## 766 S 159.00 ## 767 C NA ## 768 Q 138.50 ## 769 Q NA ## 770 S 140.00 ## 771 S 132.00 ## 772 S 156.00 ## 773 S 165.00 ## 774 C NA ## 775 S 162.00 ## 776 S 126.00 ## 777 Q NA ## 778 S 113.00 ## 779 Q NA ## 780 S 151.00 ## 781 C 121.00 ## 782 S 125.00 ## 783 S 137.00 ## 784 S NA ## 785 S 133.00 ## 786 S 133.00 ## 787 S 126.00 ## 788 Q 116.00 ## 789 S 109.00 ## 790 C 154.00 ## 791 Q NA ## 792 S 124.00 ## 793 S NA ## 794 C NA ## 795 S 133.00 ## 796 S 147.00 ## 797 S 157.00 ## 798 S 139.00 ## 799 C 138.00 ## 800 S 138.00 ## 801 S 142.00 ## 802 S 139.00 ## 803 S 119.00 ## 804 C 108.42 ## 805 S 135.00 ## 806 S 139.00 ## 807 S 147.00 ## 808 S 126.00 ## 809 S 147.00 ## 810 S 141.00 ## 811 S 134.00 ## 812 S 147.00 ## 813 S 143.00 ## 814 S 114.00 ## 815 S 138.50 ## 816 S NA ## 817 S 131.00 ## 818 C 139.00 ## 819 S 151.00 ## 820 S 118.00 ## 821 S 160.00 ## 822 S 135.00 ## 823 S 146.00 ## 824 S 135.00 ## 825 S 110.00 ## 826 Q NA ## 827 S NA ## 828 C 109.00 ## 829 Q NA ## 830 170.00 ## 831 C 123.00 ## 832 S 108.83 ## 833 C NA ## 834 S 131.00 ## 835 S 126.00 ## 836 C 147.00 ## 837 S 129.00 ## 838 S NA ## 839 S 140.00 ## 840 C NA ## 841 S 128.00 ## 842 S 124.00 ## 843 C 138.00 ## 844 C 142.50 ## 845 S 125.00 ## 846 S 150.00 ## 847 S NA ## 848 C 143.00 ## 849 S 136.00 ## 850 C NA ## 851 S 112.00 ## 852 S 182.00 ## 853 C 117.00 ## 854 S 124.00 ## 855 S 152.00 ## 856 S 126.00 ## 857 S 153.00 ## 858 S 159.00 ## 859 C 132.00 ## 860 C NA ## 861 S 149.00 ## 862 S 129.00 ## 863 S 156.00 ## 864 S NA ## 865 S 132.00 ## 866 S 150.00 ## 867 C 135.00 ## 868 S 139.00 ## 869 S NA ## 870 S 112.00 ## 871 S 134.00 ## 872 S 155.00 ## 873 S 141.00 ## 874 S 155.00 ## 875 C 136.00 ## 876 C 123.00 ## 877 S 128.00 ## 878 S 127.00 ## 879 S NA ## 880 C 164.00 ## 881 S 133.00 ## 882 S 141.00 ## 883 S 130.00 ## 884 S 136.00 ## 885 S 133.00 ## 886 Q 147.00 ## 887 S 135.00 ## 888 S 127.00 ## 889 S NA ## 890 C 134.00 ## 891 Q 140.00 ``` ## Subsetting Data Frame We often have datasets that have more than what we need, especially if we are working with secondary data sources (NIH, CDC, IES, US Census, etc.). In such cases, we want to subset the data. Two main ways of subsetting data: 1) We are not interested in all the variables (columns). 2) We are no interested in all the cases (rows). --- class: center middle <table> <th> Function </th> <th> Purpose </th> <tr> <td> select() </td> <td> Subset data column-wise (i.e. selects columns) </td> </tr> <tr> <td> filter() </td> <td> Subset data row-wise (i.e. filters rows)</td> </tr> </table> --- ## select Using `select()` to keep variables. ```r titanic %>% select(Survived, Fare, Age, Pclass) ``` ``` ## Survived Fare Age Pclass ## 1 FALSE 7.2500 22.00 3 ## 2 TRUE 71.2833 38.00 1 ## 3 TRUE 7.9250 26.00 3 ## 4 TRUE 53.1000 35.00 1 ## 5 FALSE 8.0500 35.00 3 ## 6 FALSE 8.4583 NA 3 ## 7 FALSE 51.8625 54.00 1 ## 8 FALSE 21.0750 2.00 3 ## 9 TRUE 11.1333 27.00 3 ## 10 TRUE 30.0708 14.00 2 ## 11 TRUE 16.7000 4.00 3 ## 12 TRUE 26.5500 58.00 1 ## 13 FALSE 8.0500 20.00 3 ## 14 FALSE 31.2750 39.00 3 ## 15 FALSE 7.8542 14.00 3 ## 16 TRUE 16.0000 55.00 2 ## 17 FALSE 29.1250 2.00 3 ## 18 TRUE 13.0000 NA 2 ## 19 FALSE 18.0000 31.00 3 ## 20 TRUE 7.2250 NA 3 ## 21 FALSE 26.0000 35.00 2 ## 22 TRUE 13.0000 34.00 2 ## 23 TRUE 8.0292 15.00 3 ## 24 TRUE 35.5000 28.00 1 ## 25 FALSE 21.0750 8.00 3 ## 26 TRUE 31.3875 38.00 3 ## 27 FALSE 7.2250 NA 3 ## 28 FALSE 263.0000 19.00 1 ## 29 TRUE 7.8792 NA 3 ## 30 FALSE 7.8958 NA 3 ## 31 FALSE 27.7208 40.00 1 ## 32 TRUE 146.5208 NA 1 ## 33 TRUE 7.7500 NA 3 ## 34 FALSE 10.5000 66.00 2 ## 35 FALSE 82.1708 28.00 1 ## 36 FALSE 52.0000 42.00 1 ## 37 TRUE 7.2292 NA 3 ## 38 FALSE 8.0500 21.00 3 ## 39 FALSE 18.0000 18.00 3 ## 40 TRUE 11.2417 14.00 3 ## 41 FALSE 9.4750 40.00 3 ## 42 FALSE 21.0000 27.00 2 ## 43 FALSE 7.8958 NA 3 ## 44 TRUE 41.5792 3.00 2 ## 45 TRUE 7.8792 19.00 3 ## 46 FALSE 8.0500 NA 3 ## 47 FALSE 15.5000 NA 3 ## 48 TRUE 7.7500 NA 3 ## 49 FALSE 21.6792 NA 3 ## 50 FALSE 17.8000 18.00 3 ## 51 FALSE 39.6875 7.00 3 ## 52 FALSE 7.8000 21.00 3 ## 53 TRUE 76.7292 49.00 1 ## 54 TRUE 26.0000 29.00 2 ## 55 FALSE 61.9792 65.00 1 ## 56 TRUE 35.5000 NA 1 ## 57 TRUE 10.5000 21.00 2 ## 58 FALSE 7.2292 28.50 3 ## 59 TRUE 27.7500 5.00 2 ## 60 FALSE 46.9000 11.00 3 ## 61 FALSE 7.2292 22.00 3 ## 62 TRUE 80.0000 38.00 1 ## 63 FALSE 83.4750 45.00 1 ## 64 FALSE 27.9000 4.00 3 ## 65 FALSE 27.7208 NA 1 ## 66 TRUE 15.2458 NA 3 ## 67 TRUE 10.5000 29.00 2 ## 68 FALSE 8.1583 19.00 3 ## 69 TRUE 7.9250 17.00 3 ## 70 FALSE 8.6625 26.00 3 ## 71 FALSE 10.5000 32.00 2 ## 72 FALSE 46.9000 16.00 3 ## 73 FALSE 73.5000 21.00 2 ## 74 FALSE 14.4542 26.00 3 ## 75 TRUE 56.4958 32.00 3 ## 76 FALSE 7.6500 25.00 3 ## 77 FALSE 7.8958 NA 3 ## 78 FALSE 8.0500 NA 3 ## 79 TRUE 29.0000 0.83 2 ## 80 TRUE 12.4750 30.00 3 ## 81 FALSE 9.0000 22.00 3 ## 82 TRUE 9.5000 29.00 3 ## 83 TRUE 7.7875 NA 3 ## 84 FALSE 47.1000 28.00 1 ## 85 TRUE 10.5000 17.00 2 ## 86 TRUE 15.8500 33.00 3 ## 87 FALSE 34.3750 16.00 3 ## 88 FALSE 8.0500 NA 3 ## 89 TRUE 263.0000 23.00 1 ## 90 FALSE 8.0500 24.00 3 ## 91 FALSE 8.0500 29.00 3 ## 92 FALSE 7.8542 20.00 3 ## 93 FALSE 61.1750 46.00 1 ## 94 FALSE 20.5750 26.00 3 ## 95 FALSE 7.2500 59.00 3 ## 96 FALSE 8.0500 NA 3 ## 97 FALSE 34.6542 71.00 1 ## 98 TRUE 63.3583 23.00 1 ## 99 TRUE 23.0000 34.00 2 ## 100 FALSE 26.0000 34.00 2 ## 101 FALSE 7.8958 28.00 3 ## 102 FALSE 7.8958 NA 3 ## 103 FALSE 77.2875 21.00 1 ## 104 FALSE 8.6542 33.00 3 ## 105 FALSE 7.9250 37.00 3 ## 106 FALSE 7.8958 28.00 3 ## 107 TRUE 7.6500 21.00 3 ## 108 TRUE 7.7750 NA 3 ## 109 FALSE 7.8958 38.00 3 ## 110 TRUE 24.1500 NA 3 ## 111 FALSE 52.0000 47.00 1 ## 112 FALSE 14.4542 14.50 3 ## 113 FALSE 8.0500 22.00 3 ## 114 FALSE 9.8250 20.00 3 ## 115 FALSE 14.4583 17.00 3 ## 116 FALSE 7.9250 21.00 3 ## 117 FALSE 7.7500 70.50 3 ## 118 FALSE 21.0000 29.00 2 ## 119 FALSE 247.5208 24.00 1 ## 120 FALSE 31.2750 2.00 3 ## 121 FALSE 73.5000 21.00 2 ## 122 FALSE 8.0500 NA 3 ## 123 FALSE 30.0708 32.50 2 ## 124 TRUE 13.0000 32.50 2 ## 125 FALSE 77.2875 54.00 1 ## 126 TRUE 11.2417 12.00 3 ## 127 FALSE 7.7500 NA 3 ## 128 TRUE 7.1417 24.00 3 ## 129 TRUE 22.3583 NA 3 ## 130 FALSE 6.9750 45.00 3 ## 131 FALSE 7.8958 33.00 3 ## 132 FALSE 7.0500 20.00 3 ## 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169 FALSE 25.9250 NA 1 ## 170 FALSE 56.4958 28.00 3 ## 171 FALSE 33.5000 61.00 1 ## 172 FALSE 29.1250 4.00 3 ## 173 TRUE 11.1333 1.00 3 ## 174 FALSE 7.9250 21.00 3 ## 175 FALSE 30.6958 56.00 1 ## 176 FALSE 7.8542 18.00 3 ## 177 FALSE 25.4667 NA 3 ## 178 FALSE 28.7125 50.00 1 ## 179 FALSE 13.0000 30.00 2 ## 180 FALSE 0.0000 36.00 3 ## 181 FALSE 69.5500 NA 3 ## 182 FALSE 15.0500 NA 2 ## 183 FALSE 31.3875 9.00 3 ## 184 TRUE 39.0000 1.00 2 ## 185 TRUE 22.0250 4.00 3 ## 186 FALSE 50.0000 NA 1 ## 187 TRUE 15.5000 NA 3 ## 188 TRUE 26.5500 45.00 1 ## 189 FALSE 15.5000 40.00 3 ## 190 FALSE 7.8958 36.00 3 ## 191 TRUE 13.0000 32.00 2 ## 192 FALSE 13.0000 19.00 2 ## 193 TRUE 7.8542 19.00 3 ## 194 TRUE 26.0000 3.00 2 ## 195 TRUE 27.7208 44.00 1 ## 196 TRUE 146.5208 58.00 1 ## 197 FALSE 7.7500 NA 3 ## 198 FALSE 8.4042 42.00 3 ## 199 TRUE 7.7500 NA 3 ## 200 FALSE 13.0000 24.00 2 ## 201 FALSE 9.5000 28.00 3 ## 202 FALSE 69.5500 NA 3 ## 203 FALSE 6.4958 34.00 3 ## 204 FALSE 7.2250 45.50 3 ## 205 TRUE 8.0500 18.00 3 ## 206 FALSE 10.4625 2.00 3 ## 207 FALSE 15.8500 32.00 3 ## 208 TRUE 18.7875 26.00 3 ## 209 TRUE 7.7500 16.00 3 ## 210 TRUE 31.0000 40.00 1 ## 211 FALSE 7.0500 24.00 3 ## 212 TRUE 21.0000 35.00 2 ## 213 FALSE 7.2500 22.00 3 ## 214 FALSE 13.0000 30.00 2 ## 215 FALSE 7.7500 NA 3 ## 216 TRUE 113.2750 31.00 1 ## 217 TRUE 7.9250 27.00 3 ## 218 FALSE 27.0000 42.00 2 ## 219 TRUE 76.2917 32.00 1 ## 220 FALSE 10.5000 30.00 2 ## 221 TRUE 8.0500 16.00 3 ## 222 FALSE 13.0000 27.00 2 ## 223 FALSE 8.0500 51.00 3 ## 224 FALSE 7.8958 NA 3 ## 225 TRUE 90.0000 38.00 1 ## 226 FALSE 9.3500 22.00 3 ## 227 TRUE 10.5000 19.00 2 ## 228 FALSE 7.2500 20.50 3 ## 229 FALSE 13.0000 18.00 2 ## 230 FALSE 25.4667 NA 3 ## 231 TRUE 83.4750 35.00 1 ## 232 FALSE 7.7750 29.00 3 ## 233 FALSE 13.5000 59.00 2 ## 234 TRUE 31.3875 5.00 3 ## 235 FALSE 10.5000 24.00 2 ## 236 FALSE 7.5500 NA 3 ## 237 FALSE 26.0000 44.00 2 ## 238 TRUE 26.2500 8.00 2 ## 239 FALSE 10.5000 19.00 2 ## 240 FALSE 12.2750 33.00 2 ## 241 FALSE 14.4542 NA 3 ## 242 TRUE 15.5000 NA 3 ## 243 FALSE 10.5000 29.00 2 ## 244 FALSE 7.1250 22.00 3 ## 245 FALSE 7.2250 30.00 3 ## 246 FALSE 90.0000 44.00 1 ## 247 FALSE 7.7750 25.00 3 ## 248 TRUE 14.5000 24.00 2 ## 249 TRUE 52.5542 37.00 1 ## 250 FALSE 26.0000 54.00 2 ## 251 FALSE 7.2500 NA 3 ## 252 FALSE 10.4625 29.00 3 ## 253 FALSE 26.5500 62.00 1 ## 254 FALSE 16.1000 30.00 3 ## 255 FALSE 20.2125 41.00 3 ## 256 TRUE 15.2458 29.00 3 ## 257 TRUE 79.2000 NA 1 ## 258 TRUE 86.5000 30.00 1 ## 259 TRUE 512.3292 35.00 1 ## 260 TRUE 26.0000 50.00 2 ## 261 FALSE 7.7500 NA 3 ## 262 TRUE 31.3875 3.00 3 ## 263 FALSE 79.6500 52.00 1 ## 264 FALSE 0.0000 40.00 1 ## 265 FALSE 7.7500 NA 3 ## 266 FALSE 10.5000 36.00 2 ## 267 FALSE 39.6875 16.00 3 ## 268 TRUE 7.7750 25.00 3 ## 269 TRUE 153.4625 58.00 1 ## 270 TRUE 135.6333 35.00 1 ## 271 FALSE 31.0000 NA 1 ## 272 TRUE 0.0000 25.00 3 ## 273 TRUE 19.5000 41.00 2 ## 274 FALSE 29.7000 37.00 1 ## 275 TRUE 7.7500 NA 3 ## 276 TRUE 77.9583 63.00 1 ## 277 FALSE 7.7500 45.00 3 ## 278 FALSE 0.0000 NA 2 ## 279 FALSE 29.1250 7.00 3 ## 280 TRUE 20.2500 35.00 3 ## 281 FALSE 7.7500 65.00 3 ## 282 FALSE 7.8542 28.00 3 ## 283 FALSE 9.5000 16.00 3 ## 284 TRUE 8.0500 19.00 3 ## 285 FALSE 26.0000 NA 1 ## 286 FALSE 8.6625 33.00 3 ## 287 TRUE 9.5000 30.00 3 ## 288 FALSE 7.8958 22.00 3 ## 289 TRUE 13.0000 42.00 2 ## 290 TRUE 7.7500 22.00 3 ## 291 TRUE 78.8500 26.00 1 ## 292 TRUE 91.0792 19.00 1 ## 293 FALSE 12.8750 36.00 2 ## 294 FALSE 8.8500 24.00 3 ## 295 FALSE 7.8958 24.00 3 ## 296 FALSE 27.7208 NA 1 ## 297 FALSE 7.2292 23.50 3 ## 298 FALSE 151.5500 2.00 1 ## 299 TRUE 30.5000 NA 1 ## 300 TRUE 247.5208 50.00 1 ## 301 TRUE 7.7500 NA 3 ## 302 TRUE 23.2500 NA 3 ## 303 FALSE 0.0000 19.00 3 ## 304 TRUE 12.3500 NA 2 ## 305 FALSE 8.0500 NA 3 ## 306 TRUE 151.5500 0.92 1 ## 307 TRUE 110.8833 NA 1 ## 308 TRUE 108.9000 17.00 1 ## 309 FALSE 24.0000 30.00 2 ## 310 TRUE 56.9292 30.00 1 ## 311 TRUE 83.1583 24.00 1 ## 312 TRUE 262.3750 18.00 1 ## 313 FALSE 26.0000 26.00 2 ## 314 FALSE 7.8958 28.00 3 ## 315 FALSE 26.2500 43.00 2 ## 316 TRUE 7.8542 26.00 3 ## 317 TRUE 26.0000 24.00 2 ## 318 FALSE 14.0000 54.00 2 ## 319 TRUE 164.8667 31.00 1 ## 320 TRUE 134.5000 40.00 1 ## 321 FALSE 7.2500 22.00 3 ## 322 FALSE 7.8958 27.00 3 ## 323 TRUE 12.3500 30.00 2 ## 324 TRUE 29.0000 22.00 2 ## 325 FALSE 69.5500 NA 3 ## 326 TRUE 135.6333 36.00 1 ## 327 FALSE 6.2375 61.00 3 ## 328 TRUE 13.0000 36.00 2 ## 329 TRUE 20.5250 31.00 3 ## 330 TRUE 57.9792 16.00 1 ## 331 TRUE 23.2500 NA 3 ## 332 FALSE 28.5000 45.50 1 ## 333 FALSE 153.4625 38.00 1 ## 334 FALSE 18.0000 16.00 3 ## 335 TRUE 133.6500 NA 1 ## 336 FALSE 7.8958 NA 3 ## 337 FALSE 66.6000 29.00 1 ## 338 TRUE 134.5000 41.00 1 ## 339 TRUE 8.0500 45.00 3 ## 340 FALSE 35.5000 45.00 1 ## 341 TRUE 26.0000 2.00 2 ## 342 TRUE 263.0000 24.00 1 ## 343 FALSE 13.0000 28.00 2 ## 344 FALSE 13.0000 25.00 2 ## 345 FALSE 13.0000 36.00 2 ## 346 TRUE 13.0000 24.00 2 ## 347 TRUE 13.0000 40.00 2 ## 348 TRUE 16.1000 NA 3 ## 349 TRUE 15.9000 3.00 3 ## 350 FALSE 8.6625 42.00 3 ## 351 FALSE 9.2250 23.00 3 ## 352 FALSE 35.0000 NA 1 ## 353 FALSE 7.2292 15.00 3 ## 354 FALSE 17.8000 25.00 3 ## 355 FALSE 7.2250 NA 3 ## 356 FALSE 9.5000 28.00 3 ## 357 TRUE 55.0000 22.00 1 ## 358 FALSE 13.0000 38.00 2 ## 359 TRUE 7.8792 NA 3 ## 360 TRUE 7.8792 NA 3 ## 361 FALSE 27.9000 40.00 3 ## 362 FALSE 27.7208 29.00 2 ## 363 FALSE 14.4542 45.00 3 ## 364 FALSE 7.0500 35.00 3 ## 365 FALSE 15.5000 NA 3 ## 366 FALSE 7.2500 30.00 3 ## 367 TRUE 75.2500 60.00 1 ## 368 TRUE 7.2292 NA 3 ## 369 TRUE 7.7500 NA 3 ## 370 TRUE 69.3000 24.00 1 ## 371 TRUE 55.4417 25.00 1 ## 372 FALSE 6.4958 18.00 3 ## 373 FALSE 8.0500 19.00 3 ## 374 FALSE 135.6333 22.00 1 ## 375 FALSE 21.0750 3.00 3 ## 376 TRUE 82.1708 NA 1 ## 377 TRUE 7.2500 22.00 3 ## 378 FALSE 211.5000 27.00 1 ## 379 FALSE 4.0125 20.00 3 ## 380 FALSE 7.7750 19.00 3 ## 381 TRUE 227.5250 42.00 1 ## 382 TRUE 15.7417 1.00 3 ## 383 FALSE 7.9250 32.00 3 ## 384 TRUE 52.0000 35.00 1 ## 385 FALSE 7.8958 NA 3 ## 386 FALSE 73.5000 18.00 2 ## 387 FALSE 46.9000 1.00 3 ## 388 TRUE 13.0000 36.00 2 ## 389 FALSE 7.7292 NA 3 ## 390 TRUE 12.0000 17.00 2 ## 391 TRUE 120.0000 36.00 1 ## 392 TRUE 7.7958 21.00 3 ## 393 FALSE 7.9250 28.00 3 ## 394 TRUE 113.2750 23.00 1 ## 395 TRUE 16.7000 24.00 3 ## 396 FALSE 7.7958 22.00 3 ## 397 FALSE 7.8542 31.00 3 ## 398 FALSE 26.0000 46.00 2 ## 399 FALSE 10.5000 23.00 2 ## 400 TRUE 12.6500 28.00 2 ## 401 TRUE 7.9250 39.00 3 ## 402 FALSE 8.0500 26.00 3 ## 403 FALSE 9.8250 21.00 3 ## 404 FALSE 15.8500 28.00 3 ## 405 FALSE 8.6625 20.00 3 ## 406 FALSE 21.0000 34.00 2 ## 407 FALSE 7.7500 51.00 3 ## 408 TRUE 18.7500 3.00 2 ## 409 FALSE 7.7750 21.00 3 ## 410 FALSE 25.4667 NA 3 ## 411 FALSE 7.8958 NA 3 ## 412 FALSE 6.8583 NA 3 ## 413 TRUE 90.0000 33.00 1 ## 414 FALSE 0.0000 NA 2 ## 415 TRUE 7.9250 44.00 3 ## 416 FALSE 8.0500 NA 3 ## 417 TRUE 32.5000 34.00 2 ## 418 TRUE 13.0000 18.00 2 ## 419 FALSE 13.0000 30.00 2 ## 420 FALSE 24.1500 10.00 3 ## 421 FALSE 7.8958 NA 3 ## 422 FALSE 7.7333 21.00 3 ## 423 FALSE 7.8750 29.00 3 ## 424 FALSE 14.4000 28.00 3 ## 425 FALSE 20.2125 18.00 3 ## 426 FALSE 7.2500 NA 3 ## 427 TRUE 26.0000 28.00 2 ## 428 TRUE 26.0000 19.00 2 ## 429 FALSE 7.7500 NA 3 ## 430 TRUE 8.0500 32.00 3 ## 431 TRUE 26.5500 28.00 1 ## 432 TRUE 16.1000 NA 3 ## 433 TRUE 26.0000 42.00 2 ## 434 FALSE 7.1250 17.00 3 ## 435 FALSE 55.9000 50.00 1 ## 436 TRUE 120.0000 14.00 1 ## 437 FALSE 34.3750 21.00 3 ## 438 TRUE 18.7500 24.00 2 ## 439 FALSE 263.0000 64.00 1 ## 440 FALSE 10.5000 31.00 2 ## 441 TRUE 26.2500 45.00 2 ## 442 FALSE 9.5000 20.00 3 ## 443 FALSE 7.7750 25.00 3 ## 444 TRUE 13.0000 28.00 2 ## 445 TRUE 8.1125 NA 3 ## 446 TRUE 81.8583 4.00 1 ## 447 TRUE 19.5000 13.00 2 ## 448 TRUE 26.5500 34.00 1 ## 449 TRUE 19.2583 5.00 3 ## 450 TRUE 30.5000 52.00 1 ## 451 FALSE 27.7500 36.00 2 ## 452 FALSE 19.9667 NA 3 ## 453 FALSE 27.7500 30.00 1 ## 454 TRUE 89.1042 49.00 1 ## 455 FALSE 8.0500 NA 3 ## 456 TRUE 7.8958 29.00 3 ## 457 FALSE 26.5500 65.00 1 ## 458 TRUE 51.8625 NA 1 ## 459 TRUE 10.5000 50.00 2 ## 460 FALSE 7.7500 NA 3 ## 461 TRUE 26.5500 48.00 1 ## 462 FALSE 8.0500 34.00 3 ## 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500 FALSE 7.7958 24.00 3 ## 501 FALSE 8.6625 17.00 3 ## 502 FALSE 7.7500 21.00 3 ## 503 FALSE 7.6292 NA 3 ## 504 FALSE 9.5875 37.00 3 ## 505 TRUE 86.5000 16.00 1 ## 506 FALSE 108.9000 18.00 1 ## 507 TRUE 26.0000 33.00 2 ## 508 TRUE 26.5500 NA 1 ## 509 FALSE 22.5250 28.00 3 ## 510 TRUE 56.4958 26.00 3 ## 511 TRUE 7.7500 29.00 3 ## 512 FALSE 8.0500 NA 3 ## 513 TRUE 26.2875 36.00 1 ## 514 TRUE 59.4000 54.00 1 ## 515 FALSE 7.4958 24.00 3 ## 516 FALSE 34.0208 47.00 1 ## 517 TRUE 10.5000 34.00 2 ## 518 FALSE 24.1500 NA 3 ## 519 TRUE 26.0000 36.00 2 ## 520 FALSE 7.8958 32.00 3 ## 521 TRUE 93.5000 30.00 1 ## 522 FALSE 7.8958 22.00 3 ## 523 FALSE 7.2250 NA 3 ## 524 TRUE 57.9792 44.00 1 ## 525 FALSE 7.2292 NA 3 ## 526 FALSE 7.7500 40.50 3 ## 527 TRUE 10.5000 50.00 2 ## 528 FALSE 221.7792 NA 1 ## 529 FALSE 7.9250 39.00 3 ## 530 FALSE 11.5000 23.00 2 ## 531 TRUE 26.0000 2.00 2 ## 532 FALSE 7.2292 NA 3 ## 533 FALSE 7.2292 17.00 3 ## 534 TRUE 22.3583 NA 3 ## 535 FALSE 8.6625 30.00 3 ## 536 TRUE 26.2500 7.00 2 ## 537 FALSE 26.5500 45.00 1 ## 538 TRUE 106.4250 30.00 1 ## 539 FALSE 14.5000 NA 3 ## 540 TRUE 49.5000 22.00 1 ## 541 TRUE 71.0000 36.00 1 ## 542 FALSE 31.2750 9.00 3 ## 543 FALSE 31.2750 11.00 3 ## 544 TRUE 26.0000 32.00 2 ## 545 FALSE 106.4250 50.00 1 ## 546 FALSE 26.0000 64.00 1 ## 547 TRUE 26.0000 19.00 2 ## 548 TRUE 13.8625 NA 2 ## 549 FALSE 20.5250 33.00 3 ## 550 TRUE 36.7500 8.00 2 ## 551 TRUE 110.8833 17.00 1 ## 552 FALSE 26.0000 27.00 2 ## 553 FALSE 7.8292 NA 3 ## 554 TRUE 7.2250 22.00 3 ## 555 TRUE 7.7750 22.00 3 ## 556 FALSE 26.5500 62.00 1 ## 557 TRUE 39.6000 48.00 1 ## 558 FALSE 227.5250 NA 1 ## 559 TRUE 79.6500 39.00 1 ## 560 TRUE 17.4000 36.00 3 ## 561 FALSE 7.7500 NA 3 ## 562 FALSE 7.8958 40.00 3 ## 563 FALSE 13.5000 28.00 2 ## 564 FALSE 8.0500 NA 3 ## 565 FALSE 8.0500 NA 3 ## 566 FALSE 24.1500 24.00 3 ## 567 FALSE 7.8958 19.00 3 ## 568 FALSE 21.0750 29.00 3 ## 569 FALSE 7.2292 NA 3 ## 570 TRUE 7.8542 32.00 3 ## 571 TRUE 10.5000 62.00 2 ## 572 TRUE 51.4792 53.00 1 ## 573 TRUE 26.3875 36.00 1 ## 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721 TRUE 33.0000 6.00 2 ## 722 FALSE 7.0542 17.00 3 ## 723 FALSE 13.0000 34.00 2 ## 724 FALSE 13.0000 50.00 2 ## 725 TRUE 53.1000 27.00 1 ## 726 FALSE 8.6625 20.00 3 ## 727 TRUE 21.0000 30.00 2 ## 728 TRUE 7.7375 NA 3 ## 729 FALSE 26.0000 25.00 2 ## 730 FALSE 7.9250 25.00 3 ## 731 TRUE 211.3375 29.00 1 ## 732 FALSE 18.7875 11.00 3 ## 733 FALSE 0.0000 NA 2 ## 734 FALSE 13.0000 23.00 2 ## 735 FALSE 13.0000 23.00 2 ## 736 FALSE 16.1000 28.50 3 ## 737 FALSE 34.3750 48.00 3 ## 738 TRUE 512.3292 35.00 1 ## 739 FALSE 7.8958 NA 3 ## 740 FALSE 7.8958 NA 3 ## 741 TRUE 30.0000 NA 1 ## 742 FALSE 78.8500 36.00 1 ## 743 TRUE 262.3750 21.00 1 ## 744 FALSE 16.1000 24.00 3 ## 745 TRUE 7.9250 31.00 3 ## 746 FALSE 71.0000 70.00 1 ## 747 FALSE 20.2500 16.00 3 ## 748 TRUE 13.0000 30.00 2 ## 749 FALSE 53.1000 19.00 1 ## 750 FALSE 7.7500 31.00 3 ## 751 TRUE 23.0000 4.00 2 ## 752 TRUE 12.4750 6.00 3 ## 753 FALSE 9.5000 33.00 3 ## 754 FALSE 7.8958 23.00 3 ## 755 TRUE 65.0000 48.00 2 ## 756 TRUE 14.5000 0.67 2 ## 757 FALSE 7.7958 28.00 3 ## 758 FALSE 11.5000 18.00 2 ## 759 FALSE 8.0500 34.00 3 ## 760 TRUE 86.5000 33.00 1 ## 761 FALSE 14.5000 NA 3 ## 762 FALSE 7.1250 41.00 3 ## 763 TRUE 7.2292 20.00 3 ## 764 TRUE 120.0000 36.00 1 ## 765 FALSE 7.7750 16.00 3 ## 766 TRUE 77.9583 51.00 1 ## 767 FALSE 39.6000 NA 1 ## 768 FALSE 7.7500 30.50 3 ## 769 FALSE 24.1500 NA 3 ## 770 FALSE 8.3625 32.00 3 ## 771 FALSE 9.5000 24.00 3 ## 772 FALSE 7.8542 48.00 3 ## 773 FALSE 10.5000 57.00 2 ## 774 FALSE 7.2250 NA 3 ## 775 TRUE 23.0000 54.00 2 ## 776 FALSE 7.7500 18.00 3 ## 777 FALSE 7.7500 NA 3 ## 778 TRUE 12.4750 5.00 3 ## 779 FALSE 7.7375 NA 3 ## 780 TRUE 211.3375 43.00 1 ## 781 TRUE 7.2292 13.00 3 ## 782 TRUE 57.0000 17.00 1 ## 783 FALSE 30.0000 29.00 1 ## 784 FALSE 23.4500 NA 3 ## 785 FALSE 7.0500 25.00 3 ## 786 FALSE 7.2500 25.00 3 ## 787 TRUE 7.4958 18.00 3 ## 788 FALSE 29.1250 8.00 3 ## 789 TRUE 20.5750 1.00 3 ## 790 FALSE 79.2000 46.00 1 ## 791 FALSE 7.7500 NA 3 ## 792 FALSE 26.0000 16.00 2 ## 793 FALSE 69.5500 NA 3 ## 794 FALSE 30.6958 NA 1 ## 795 FALSE 7.8958 25.00 3 ## 796 FALSE 13.0000 39.00 2 ## 797 TRUE 25.9292 49.00 1 ## 798 TRUE 8.6833 31.00 3 ## 799 FALSE 7.2292 30.00 3 ## 800 FALSE 24.1500 30.00 3 ## 801 FALSE 13.0000 34.00 2 ## 802 TRUE 26.2500 31.00 2 ## 803 TRUE 120.0000 11.00 1 ## 804 TRUE 8.5167 0.42 3 ## 805 TRUE 6.9750 27.00 3 ## 806 FALSE 7.7750 31.00 3 ## 807 FALSE 0.0000 39.00 1 ## 808 FALSE 7.7750 18.00 3 ## 809 FALSE 13.0000 39.00 2 ## 810 TRUE 53.1000 33.00 1 ## 811 FALSE 7.8875 26.00 3 ## 812 FALSE 24.1500 39.00 3 ## 813 FALSE 10.5000 35.00 2 ## 814 FALSE 31.2750 6.00 3 ## 815 FALSE 8.0500 30.50 3 ## 816 FALSE 0.0000 NA 1 ## 817 FALSE 7.9250 23.00 3 ## 818 FALSE 37.0042 31.00 2 ## 819 FALSE 6.4500 43.00 3 ## 820 FALSE 27.9000 10.00 3 ## 821 TRUE 93.5000 52.00 1 ## 822 TRUE 8.6625 27.00 3 ## 823 FALSE 0.0000 38.00 1 ## 824 TRUE 12.4750 27.00 3 ## 825 FALSE 39.6875 2.00 3 ## 826 FALSE 6.9500 NA 3 ## 827 FALSE 56.4958 NA 3 ## 828 TRUE 37.0042 1.00 2 ## 829 TRUE 7.7500 NA 3 ## 830 TRUE 80.0000 62.00 1 ## 831 TRUE 14.4542 15.00 3 ## 832 TRUE 18.7500 0.83 2 ## 833 FALSE 7.2292 NA 3 ## 834 FALSE 7.8542 23.00 3 ## 835 FALSE 8.3000 18.00 3 ## 836 TRUE 83.1583 39.00 1 ## 837 FALSE 8.6625 21.00 3 ## 838 FALSE 8.0500 NA 3 ## 839 TRUE 56.4958 32.00 3 ## 840 TRUE 29.7000 NA 1 ## 841 FALSE 7.9250 20.00 3 ## 842 FALSE 10.5000 16.00 2 ## 843 TRUE 31.0000 30.00 1 ## 844 FALSE 6.4375 34.50 3 ## 845 FALSE 8.6625 17.00 3 ## 846 FALSE 7.5500 42.00 3 ## 847 FALSE 69.5500 NA 3 ## 848 FALSE 7.8958 35.00 3 ## 849 FALSE 33.0000 28.00 2 ## 850 TRUE 89.1042 NA 1 ## 851 FALSE 31.2750 4.00 3 ## 852 FALSE 7.7750 74.00 3 ## 853 FALSE 15.2458 9.00 3 ## 854 TRUE 39.4000 16.00 1 ## 855 FALSE 26.0000 44.00 2 ## 856 TRUE 9.3500 18.00 3 ## 857 TRUE 164.8667 45.00 1 ## 858 TRUE 26.5500 51.00 1 ## 859 TRUE 19.2583 24.00 3 ## 860 FALSE 7.2292 NA 3 ## 861 FALSE 14.1083 41.00 3 ## 862 FALSE 11.5000 21.00 2 ## 863 TRUE 25.9292 48.00 1 ## 864 FALSE 69.5500 NA 3 ## 865 FALSE 13.0000 24.00 2 ## 866 TRUE 13.0000 42.00 2 ## 867 TRUE 13.8583 27.00 2 ## 868 FALSE 50.4958 31.00 1 ## 869 FALSE 9.5000 NA 3 ## 870 TRUE 11.1333 4.00 3 ## 871 FALSE 7.8958 26.00 3 ## 872 TRUE 52.5542 47.00 1 ## 873 FALSE 5.0000 33.00 1 ## 874 FALSE 9.0000 47.00 3 ## 875 TRUE 24.0000 28.00 2 ## 876 TRUE 7.2250 15.00 3 ## 877 FALSE 9.8458 20.00 3 ## 878 FALSE 7.8958 19.00 3 ## 879 FALSE 7.8958 NA 3 ## 880 TRUE 83.1583 56.00 1 ## 881 TRUE 26.0000 25.00 2 ## 882 FALSE 7.8958 33.00 3 ## 883 FALSE 10.5167 22.00 3 ## 884 FALSE 10.5000 28.00 2 ## 885 FALSE 7.0500 25.00 3 ## 886 FALSE 29.1250 39.00 3 ## 887 FALSE 13.0000 27.00 2 ## 888 TRUE 30.0000 19.00 1 ## 889 FALSE 23.4500 NA 3 ## 890 TRUE 30.0000 26.00 1 ## 891 FALSE 7.7500 32.00 3 ``` --- ## select Using `select()` to drop variables. ```r titanic %>% select(-PassengerId, -Name) ``` ``` ## Survived Pclass Sex Age SibSp Parch Ticket Fare ## 1 FALSE 3 male 22.00 1 0 A/5 21171 7.2500 ## 2 TRUE 1 female 38.00 1 0 PC 17599 71.2833 ## 3 TRUE 3 female 26.00 0 0 STON/O2. 3101282 7.9250 ## 4 TRUE 1 female 35.00 1 0 113803 53.1000 ## 5 FALSE 3 male 35.00 0 0 373450 8.0500 ## 6 FALSE 3 male NA 0 0 330877 8.4583 ## 7 FALSE 1 male 54.00 0 0 17463 51.8625 ## 8 FALSE 3 male 2.00 3 1 349909 21.0750 ## 9 TRUE 3 female 27.00 0 2 347742 11.1333 ## 10 TRUE 2 female 14.00 1 0 237736 30.0708 ## 11 TRUE 3 female 4.00 1 1 PP 9549 16.7000 ## 12 TRUE 1 female 58.00 0 0 113783 26.5500 ## 13 FALSE 3 male 20.00 0 0 A/5. 2151 8.0500 ## 14 FALSE 3 male 39.00 1 5 347082 31.2750 ## 15 FALSE 3 female 14.00 0 0 350406 7.8542 ## 16 TRUE 2 female 55.00 0 0 248706 16.0000 ## 17 FALSE 3 male 2.00 4 1 382652 29.1250 ## 18 TRUE 2 male NA 0 0 244373 13.0000 ## 19 FALSE 3 female 31.00 1 0 345763 18.0000 ## 20 TRUE 3 female NA 0 0 2649 7.2250 ## 21 FALSE 2 male 35.00 0 0 239865 26.0000 ## 22 TRUE 2 male 34.00 0 0 248698 13.0000 ## 23 TRUE 3 female 15.00 0 0 330923 8.0292 ## 24 TRUE 1 male 28.00 0 0 113788 35.5000 ## 25 FALSE 3 female 8.00 3 1 349909 21.0750 ## 26 TRUE 3 female 38.00 1 5 347077 31.3875 ## 27 FALSE 3 male NA 0 0 2631 7.2250 ## 28 FALSE 1 male 19.00 3 2 19950 263.0000 ## 29 TRUE 3 female NA 0 0 330959 7.8792 ## 30 FALSE 3 male NA 0 0 349216 7.8958 ## 31 FALSE 1 male 40.00 0 0 PC 17601 27.7208 ## 32 TRUE 1 female NA 1 0 PC 17569 146.5208 ## 33 TRUE 3 female NA 0 0 335677 7.7500 ## 34 FALSE 2 male 66.00 0 0 C.A. 24579 10.5000 ## 35 FALSE 1 male 28.00 1 0 PC 17604 82.1708 ## 36 FALSE 1 male 42.00 1 0 113789 52.0000 ## 37 TRUE 3 male NA 0 0 2677 7.2292 ## 38 FALSE 3 male 21.00 0 0 A./5. 2152 8.0500 ## 39 FALSE 3 female 18.00 2 0 345764 18.0000 ## 40 TRUE 3 female 14.00 1 0 2651 11.2417 ## 41 FALSE 3 female 40.00 1 0 7546 9.4750 ## 42 FALSE 2 female 27.00 1 0 11668 21.0000 ## 43 FALSE 3 male NA 0 0 349253 7.8958 ## 44 TRUE 2 female 3.00 1 2 SC/Paris 2123 41.5792 ## 45 TRUE 3 female 19.00 0 0 330958 7.8792 ## 46 FALSE 3 male NA 0 0 S.C./A.4. 23567 8.0500 ## 47 FALSE 3 male NA 1 0 370371 15.5000 ## 48 TRUE 3 female NA 0 0 14311 7.7500 ## 49 FALSE 3 male NA 2 0 2662 21.6792 ## 50 FALSE 3 female 18.00 1 0 349237 17.8000 ## 51 FALSE 3 male 7.00 4 1 3101295 39.6875 ## 52 FALSE 3 male 21.00 0 0 A/4. 39886 7.8000 ## 53 TRUE 1 female 49.00 1 0 PC 17572 76.7292 ## 54 TRUE 2 female 29.00 1 0 2926 26.0000 ## 55 FALSE 1 male 65.00 0 1 113509 61.9792 ## 56 TRUE 1 male NA 0 0 19947 35.5000 ## 57 TRUE 2 female 21.00 0 0 C.A. 31026 10.5000 ## 58 FALSE 3 male 28.50 0 0 2697 7.2292 ## 59 TRUE 2 female 5.00 1 2 C.A. 34651 27.7500 ## 60 FALSE 3 male 11.00 5 2 CA 2144 46.9000 ## 61 FALSE 3 male 22.00 0 0 2669 7.2292 ## 62 TRUE 1 female 38.00 0 0 113572 80.0000 ## 63 FALSE 1 male 45.00 1 0 36973 83.4750 ## 64 FALSE 3 male 4.00 3 2 347088 27.9000 ## 65 FALSE 1 male NA 0 0 PC 17605 27.7208 ## 66 TRUE 3 male NA 1 1 2661 15.2458 ## 67 TRUE 2 female 29.00 0 0 C.A. 29395 10.5000 ## 68 FALSE 3 male 19.00 0 0 S.P. 3464 8.1583 ## 69 TRUE 3 female 17.00 4 2 3101281 7.9250 ## 70 FALSE 3 male 26.00 2 0 315151 8.6625 ## 71 FALSE 2 male 32.00 0 0 C.A. 33111 10.5000 ## 72 FALSE 3 female 16.00 5 2 CA 2144 46.9000 ## 73 FALSE 2 male 21.00 0 0 S.O.C. 14879 73.5000 ## 74 FALSE 3 male 26.00 1 0 2680 14.4542 ## 75 TRUE 3 male 32.00 0 0 1601 56.4958 ## 76 FALSE 3 male 25.00 0 0 348123 7.6500 ## 77 FALSE 3 male NA 0 0 349208 7.8958 ## 78 FALSE 3 male NA 0 0 374746 8.0500 ## 79 TRUE 2 male 0.83 0 2 248738 29.0000 ## 80 TRUE 3 female 30.00 0 0 364516 12.4750 ## 81 FALSE 3 male 22.00 0 0 345767 9.0000 ## 82 TRUE 3 male 29.00 0 0 345779 9.5000 ## 83 TRUE 3 female NA 0 0 330932 7.7875 ## 84 FALSE 1 male 28.00 0 0 113059 47.1000 ## 85 TRUE 2 female 17.00 0 0 SO/C 14885 10.5000 ## 86 TRUE 3 female 33.00 3 0 3101278 15.8500 ## 87 FALSE 3 male 16.00 1 3 W./C. 6608 34.3750 ## 88 FALSE 3 male NA 0 0 SOTON/OQ 392086 8.0500 ## 89 TRUE 1 female 23.00 3 2 19950 263.0000 ## 90 FALSE 3 male 24.00 0 0 343275 8.0500 ## 91 FALSE 3 male 29.00 0 0 343276 8.0500 ## 92 FALSE 3 male 20.00 0 0 347466 7.8542 ## 93 FALSE 1 male 46.00 1 0 W.E.P. 5734 61.1750 ## 94 FALSE 3 male 26.00 1 2 C.A. 2315 20.5750 ## 95 FALSE 3 male 59.00 0 0 364500 7.2500 ## 96 FALSE 3 male NA 0 0 374910 8.0500 ## 97 FALSE 1 male 71.00 0 0 PC 17754 34.6542 ## 98 TRUE 1 male 23.00 0 1 PC 17759 63.3583 ## 99 TRUE 2 female 34.00 0 1 231919 23.0000 ## 100 FALSE 2 male 34.00 1 0 244367 26.0000 ## 101 FALSE 3 female 28.00 0 0 349245 7.8958 ## 102 FALSE 3 male NA 0 0 349215 7.8958 ## 103 FALSE 1 male 21.00 0 1 35281 77.2875 ## 104 FALSE 3 male 33.00 0 0 7540 8.6542 ## 105 FALSE 3 male 37.00 2 0 3101276 7.9250 ## 106 FALSE 3 male 28.00 0 0 349207 7.8958 ## 107 TRUE 3 female 21.00 0 0 343120 7.6500 ## 108 TRUE 3 male NA 0 0 312991 7.7750 ## 109 FALSE 3 male 38.00 0 0 349249 7.8958 ## 110 TRUE 3 female NA 1 0 371110 24.1500 ## 111 FALSE 1 male 47.00 0 0 110465 52.0000 ## 112 FALSE 3 female 14.50 1 0 2665 14.4542 ## 113 FALSE 3 male 22.00 0 0 324669 8.0500 ## 114 FALSE 3 female 20.00 1 0 4136 9.8250 ## 115 FALSE 3 female 17.00 0 0 2627 14.4583 ## 116 FALSE 3 male 21.00 0 0 STON/O 2. 3101294 7.9250 ## 117 FALSE 3 male 70.50 0 0 370369 7.7500 ## 118 FALSE 2 male 29.00 1 0 11668 21.0000 ## 119 FALSE 1 male 24.00 0 1 PC 17558 247.5208 ## 120 FALSE 3 female 2.00 4 2 347082 31.2750 ## 121 FALSE 2 male 21.00 2 0 S.O.C. 14879 73.5000 ## 122 FALSE 3 male NA 0 0 A4. 54510 8.0500 ## 123 FALSE 2 male 32.50 1 0 237736 30.0708 ## 124 TRUE 2 female 32.50 0 0 27267 13.0000 ## 125 FALSE 1 male 54.00 0 1 35281 77.2875 ## 126 TRUE 3 male 12.00 1 0 2651 11.2417 ## 127 FALSE 3 male NA 0 0 370372 7.7500 ## 128 TRUE 3 male 24.00 0 0 C 17369 7.1417 ## 129 TRUE 3 female NA 1 1 2668 22.3583 ## 130 FALSE 3 male 45.00 0 0 347061 6.9750 ## 131 FALSE 3 male 33.00 0 0 349241 7.8958 ## 132 FALSE 3 male 20.00 0 0 SOTON/O.Q. 3101307 7.0500 ## 133 FALSE 3 female 47.00 1 0 A/5. 3337 14.5000 ## 134 TRUE 2 female 29.00 1 0 228414 26.0000 ## 135 FALSE 2 male 25.00 0 0 C.A. 29178 13.0000 ## 136 FALSE 2 male 23.00 0 0 SC/PARIS 2133 15.0458 ## 137 TRUE 1 female 19.00 0 2 11752 26.2833 ## 138 FALSE 1 male 37.00 1 0 113803 53.1000 ## 139 FALSE 3 male 16.00 0 0 7534 9.2167 ## 140 FALSE 1 male 24.00 0 0 PC 17593 79.2000 ## 141 FALSE 3 female NA 0 2 2678 15.2458 ## 142 TRUE 3 female 22.00 0 0 347081 7.7500 ## 143 TRUE 3 female 24.00 1 0 STON/O2. 3101279 15.8500 ## 144 FALSE 3 male 19.00 0 0 365222 6.7500 ## 145 FALSE 2 male 18.00 0 0 231945 11.5000 ## 146 FALSE 2 male 19.00 1 1 C.A. 33112 36.7500 ## 147 TRUE 3 male 27.00 0 0 350043 7.7958 ## 148 FALSE 3 female 9.00 2 2 W./C. 6608 34.3750 ## 149 FALSE 2 male 36.50 0 2 230080 26.0000 ## 150 FALSE 2 male 42.00 0 0 244310 13.0000 ## 151 FALSE 2 male 51.00 0 0 S.O.P. 1166 12.5250 ## 152 TRUE 1 female 22.00 1 0 113776 66.6000 ## 153 FALSE 3 male 55.50 0 0 A.5. 11206 8.0500 ## 154 FALSE 3 male 40.50 0 2 A/5. 851 14.5000 ## 155 FALSE 3 male NA 0 0 Fa 265302 7.3125 ## 156 FALSE 1 male 51.00 0 1 PC 17597 61.3792 ## 157 TRUE 3 female 16.00 0 0 35851 7.7333 ## 158 FALSE 3 male 30.00 0 0 SOTON/OQ 392090 8.0500 ## 159 FALSE 3 male NA 0 0 315037 8.6625 ## 160 FALSE 3 male NA 8 2 CA. 2343 69.5500 ## 161 FALSE 3 male 44.00 0 1 371362 16.1000 ## 162 TRUE 2 female 40.00 0 0 C.A. 33595 15.7500 ## 163 FALSE 3 male 26.00 0 0 347068 7.7750 ## 164 FALSE 3 male 17.00 0 0 315093 8.6625 ## 165 FALSE 3 male 1.00 4 1 3101295 39.6875 ## 166 TRUE 3 male 9.00 0 2 363291 20.5250 ## 167 TRUE 1 female NA 0 1 113505 55.0000 ## 168 FALSE 3 female 45.00 1 4 347088 27.9000 ## 169 FALSE 1 male NA 0 0 PC 17318 25.9250 ## 170 FALSE 3 male 28.00 0 0 1601 56.4958 ## 171 FALSE 1 male 61.00 0 0 111240 33.5000 ## 172 FALSE 3 male 4.00 4 1 382652 29.1250 ## 173 TRUE 3 female 1.00 1 1 347742 11.1333 ## 174 FALSE 3 male 21.00 0 0 STON/O 2. 3101280 7.9250 ## 175 FALSE 1 male 56.00 0 0 17764 30.6958 ## 176 FALSE 3 male 18.00 1 1 350404 7.8542 ## 177 FALSE 3 male NA 3 1 4133 25.4667 ## 178 FALSE 1 female 50.00 0 0 PC 17595 28.7125 ## 179 FALSE 2 male 30.00 0 0 250653 13.0000 ## 180 FALSE 3 male 36.00 0 0 LINE 0.0000 ## 181 FALSE 3 female NA 8 2 CA. 2343 69.5500 ## 182 FALSE 2 male NA 0 0 SC/PARIS 2131 15.0500 ## 183 FALSE 3 male 9.00 4 2 347077 31.3875 ## 184 TRUE 2 male 1.00 2 1 230136 39.0000 ## 185 TRUE 3 female 4.00 0 2 315153 22.0250 ## 186 FALSE 1 male NA 0 0 113767 50.0000 ## 187 TRUE 3 female NA 1 0 370365 15.5000 ## 188 TRUE 1 male 45.00 0 0 111428 26.5500 ## 189 FALSE 3 male 40.00 1 1 364849 15.5000 ## 190 FALSE 3 male 36.00 0 0 349247 7.8958 ## 191 TRUE 2 female 32.00 0 0 234604 13.0000 ## 192 FALSE 2 male 19.00 0 0 28424 13.0000 ## 193 TRUE 3 female 19.00 1 0 350046 7.8542 ## 194 TRUE 2 male 3.00 1 1 230080 26.0000 ## 195 TRUE 1 female 44.00 0 0 PC 17610 27.7208 ## 196 TRUE 1 female 58.00 0 0 PC 17569 146.5208 ## 197 FALSE 3 male NA 0 0 368703 7.7500 ## 198 FALSE 3 male 42.00 0 1 4579 8.4042 ## 199 TRUE 3 female NA 0 0 370370 7.7500 ## 200 FALSE 2 female 24.00 0 0 248747 13.0000 ## 201 FALSE 3 male 28.00 0 0 345770 9.5000 ## 202 FALSE 3 male NA 8 2 CA. 2343 69.5500 ## 203 FALSE 3 male 34.00 0 0 3101264 6.4958 ## 204 FALSE 3 male 45.50 0 0 2628 7.2250 ## 205 TRUE 3 male 18.00 0 0 A/5 3540 8.0500 ## 206 FALSE 3 female 2.00 0 1 347054 10.4625 ## 207 FALSE 3 male 32.00 1 0 3101278 15.8500 ## 208 TRUE 3 male 26.00 0 0 2699 18.7875 ## 209 TRUE 3 female 16.00 0 0 367231 7.7500 ## 210 TRUE 1 male 40.00 0 0 112277 31.0000 ## 211 FALSE 3 male 24.00 0 0 SOTON/O.Q. 3101311 7.0500 ## 212 TRUE 2 female 35.00 0 0 F.C.C. 13528 21.0000 ## 213 FALSE 3 male 22.00 0 0 A/5 21174 7.2500 ## 214 FALSE 2 male 30.00 0 0 250646 13.0000 ## 215 FALSE 3 male NA 1 0 367229 7.7500 ## 216 TRUE 1 female 31.00 1 0 35273 113.2750 ## 217 TRUE 3 female 27.00 0 0 STON/O2. 3101283 7.9250 ## 218 FALSE 2 male 42.00 1 0 243847 27.0000 ## 219 TRUE 1 female 32.00 0 0 11813 76.2917 ## 220 FALSE 2 male 30.00 0 0 W/C 14208 10.5000 ## 221 TRUE 3 male 16.00 0 0 SOTON/OQ 392089 8.0500 ## 222 FALSE 2 male 27.00 0 0 220367 13.0000 ## 223 FALSE 3 male 51.00 0 0 21440 8.0500 ## 224 FALSE 3 male NA 0 0 349234 7.8958 ## 225 TRUE 1 male 38.00 1 0 19943 90.0000 ## 226 FALSE 3 male 22.00 0 0 PP 4348 9.3500 ## 227 TRUE 2 male 19.00 0 0 SW/PP 751 10.5000 ## 228 FALSE 3 male 20.50 0 0 A/5 21173 7.2500 ## 229 FALSE 2 male 18.00 0 0 236171 13.0000 ## 230 FALSE 3 female NA 3 1 4133 25.4667 ## 231 TRUE 1 female 35.00 1 0 36973 83.4750 ## 232 FALSE 3 male 29.00 0 0 347067 7.7750 ## 233 FALSE 2 male 59.00 0 0 237442 13.5000 ## 234 TRUE 3 female 5.00 4 2 347077 31.3875 ## 235 FALSE 2 male 24.00 0 0 C.A. 29566 10.5000 ## 236 FALSE 3 female NA 0 0 W./C. 6609 7.5500 ## 237 FALSE 2 male 44.00 1 0 26707 26.0000 ## 238 TRUE 2 female 8.00 0 2 C.A. 31921 26.2500 ## 239 FALSE 2 male 19.00 0 0 28665 10.5000 ## 240 FALSE 2 male 33.00 0 0 SCO/W 1585 12.2750 ## 241 FALSE 3 female NA 1 0 2665 14.4542 ## 242 TRUE 3 female NA 1 0 367230 15.5000 ## 243 FALSE 2 male 29.00 0 0 W./C. 14263 10.5000 ## 244 FALSE 3 male 22.00 0 0 STON/O 2. 3101275 7.1250 ## 245 FALSE 3 male 30.00 0 0 2694 7.2250 ## 246 FALSE 1 male 44.00 2 0 19928 90.0000 ## 247 FALSE 3 female 25.00 0 0 347071 7.7750 ## 248 TRUE 2 female 24.00 0 2 250649 14.5000 ## 249 TRUE 1 male 37.00 1 1 11751 52.5542 ## 250 FALSE 2 male 54.00 1 0 244252 26.0000 ## 251 FALSE 3 male NA 0 0 362316 7.2500 ## 252 FALSE 3 female 29.00 1 1 347054 10.4625 ## 253 FALSE 1 male 62.00 0 0 113514 26.5500 ## 254 FALSE 3 male 30.00 1 0 A/5. 3336 16.1000 ## 255 FALSE 3 female 41.00 0 2 370129 20.2125 ## 256 TRUE 3 female 29.00 0 2 2650 15.2458 ## 257 TRUE 1 female NA 0 0 PC 17585 79.2000 ## 258 TRUE 1 female 30.00 0 0 110152 86.5000 ## 259 TRUE 1 female 35.00 0 0 PC 17755 512.3292 ## 260 TRUE 2 female 50.00 0 1 230433 26.0000 ## 261 FALSE 3 male NA 0 0 384461 7.7500 ## 262 TRUE 3 male 3.00 4 2 347077 31.3875 ## 263 FALSE 1 male 52.00 1 1 110413 79.6500 ## 264 FALSE 1 male 40.00 0 0 112059 0.0000 ## 265 FALSE 3 female NA 0 0 382649 7.7500 ## 266 FALSE 2 male 36.00 0 0 C.A. 17248 10.5000 ## 267 FALSE 3 male 16.00 4 1 3101295 39.6875 ## 268 TRUE 3 male 25.00 1 0 347083 7.7750 ## 269 TRUE 1 female 58.00 0 1 PC 17582 153.4625 ## 270 TRUE 1 female 35.00 0 0 PC 17760 135.6333 ## 271 FALSE 1 male NA 0 0 113798 31.0000 ## 272 TRUE 3 male 25.00 0 0 LINE 0.0000 ## 273 TRUE 2 female 41.00 0 1 250644 19.5000 ## 274 FALSE 1 male 37.00 0 1 PC 17596 29.7000 ## 275 TRUE 3 female NA 0 0 370375 7.7500 ## 276 TRUE 1 female 63.00 1 0 13502 77.9583 ## 277 FALSE 3 female 45.00 0 0 347073 7.7500 ## 278 FALSE 2 male NA 0 0 239853 0.0000 ## 279 FALSE 3 male 7.00 4 1 382652 29.1250 ## 280 TRUE 3 female 35.00 1 1 C.A. 2673 20.2500 ## 281 FALSE 3 male 65.00 0 0 336439 7.7500 ## 282 FALSE 3 male 28.00 0 0 347464 7.8542 ## 283 FALSE 3 male 16.00 0 0 345778 9.5000 ## 284 TRUE 3 male 19.00 0 0 A/5. 10482 8.0500 ## 285 FALSE 1 male NA 0 0 113056 26.0000 ## 286 FALSE 3 male 33.00 0 0 349239 8.6625 ## 287 TRUE 3 male 30.00 0 0 345774 9.5000 ## 288 FALSE 3 male 22.00 0 0 349206 7.8958 ## 289 TRUE 2 male 42.00 0 0 237798 13.0000 ## 290 TRUE 3 female 22.00 0 0 370373 7.7500 ## 291 TRUE 1 female 26.00 0 0 19877 78.8500 ## 292 TRUE 1 female 19.00 1 0 11967 91.0792 ## 293 FALSE 2 male 36.00 0 0 SC/Paris 2163 12.8750 ## 294 FALSE 3 female 24.00 0 0 349236 8.8500 ## 295 FALSE 3 male 24.00 0 0 349233 7.8958 ## 296 FALSE 1 male NA 0 0 PC 17612 27.7208 ## 297 FALSE 3 male 23.50 0 0 2693 7.2292 ## 298 FALSE 1 female 2.00 1 2 113781 151.5500 ## 299 TRUE 1 male NA 0 0 19988 30.5000 ## 300 TRUE 1 female 50.00 0 1 PC 17558 247.5208 ## 301 TRUE 3 female NA 0 0 9234 7.7500 ## 302 TRUE 3 male NA 2 0 367226 23.2500 ## 303 FALSE 3 male 19.00 0 0 LINE 0.0000 ## 304 TRUE 2 female NA 0 0 226593 12.3500 ## 305 FALSE 3 male NA 0 0 A/5 2466 8.0500 ## 306 TRUE 1 male 0.92 1 2 113781 151.5500 ## 307 TRUE 1 female NA 0 0 17421 110.8833 ## 308 TRUE 1 female 17.00 1 0 PC 17758 108.9000 ## 309 FALSE 2 male 30.00 1 0 P/PP 3381 24.0000 ## 310 TRUE 1 female 30.00 0 0 PC 17485 56.9292 ## 311 TRUE 1 female 24.00 0 0 11767 83.1583 ## 312 TRUE 1 female 18.00 2 2 PC 17608 262.3750 ## 313 FALSE 2 female 26.00 1 1 250651 26.0000 ## 314 FALSE 3 male 28.00 0 0 349243 7.8958 ## 315 FALSE 2 male 43.00 1 1 F.C.C. 13529 26.2500 ## 316 TRUE 3 female 26.00 0 0 347470 7.8542 ## 317 TRUE 2 female 24.00 1 0 244367 26.0000 ## 318 FALSE 2 male 54.00 0 0 29011 14.0000 ## 319 TRUE 1 female 31.00 0 2 36928 164.8667 ## 320 TRUE 1 female 40.00 1 1 16966 134.5000 ## 321 FALSE 3 male 22.00 0 0 A/5 21172 7.2500 ## 322 FALSE 3 male 27.00 0 0 349219 7.8958 ## 323 TRUE 2 female 30.00 0 0 234818 12.3500 ## 324 TRUE 2 female 22.00 1 1 248738 29.0000 ## 325 FALSE 3 male NA 8 2 CA. 2343 69.5500 ## 326 TRUE 1 female 36.00 0 0 PC 17760 135.6333 ## 327 FALSE 3 male 61.00 0 0 345364 6.2375 ## 328 TRUE 2 female 36.00 0 0 28551 13.0000 ## 329 TRUE 3 female 31.00 1 1 363291 20.5250 ## 330 TRUE 1 female 16.00 0 1 111361 57.9792 ## 331 TRUE 3 female NA 2 0 367226 23.2500 ## 332 FALSE 1 male 45.50 0 0 113043 28.5000 ## 333 FALSE 1 male 38.00 0 1 PC 17582 153.4625 ## 334 FALSE 3 male 16.00 2 0 345764 18.0000 ## 335 TRUE 1 female NA 1 0 PC 17611 133.6500 ## 336 FALSE 3 male NA 0 0 349225 7.8958 ## 337 FALSE 1 male 29.00 1 0 113776 66.6000 ## 338 TRUE 1 female 41.00 0 0 16966 134.5000 ## 339 TRUE 3 male 45.00 0 0 7598 8.0500 ## 340 FALSE 1 male 45.00 0 0 113784 35.5000 ## 341 TRUE 2 male 2.00 1 1 230080 26.0000 ## 342 TRUE 1 female 24.00 3 2 19950 263.0000 ## 343 FALSE 2 male 28.00 0 0 248740 13.0000 ## 344 FALSE 2 male 25.00 0 0 244361 13.0000 ## 345 FALSE 2 male 36.00 0 0 229236 13.0000 ## 346 TRUE 2 female 24.00 0 0 248733 13.0000 ## 347 TRUE 2 female 40.00 0 0 31418 13.0000 ## 348 TRUE 3 female NA 1 0 386525 16.1000 ## 349 TRUE 3 male 3.00 1 1 C.A. 37671 15.9000 ## 350 FALSE 3 male 42.00 0 0 315088 8.6625 ## 351 FALSE 3 male 23.00 0 0 7267 9.2250 ## 352 FALSE 1 male NA 0 0 113510 35.0000 ## 353 FALSE 3 male 15.00 1 1 2695 7.2292 ## 354 FALSE 3 male 25.00 1 0 349237 17.8000 ## 355 FALSE 3 male NA 0 0 2647 7.2250 ## 356 FALSE 3 male 28.00 0 0 345783 9.5000 ## 357 TRUE 1 female 22.00 0 1 113505 55.0000 ## 358 FALSE 2 female 38.00 0 0 237671 13.0000 ## 359 TRUE 3 female NA 0 0 330931 7.8792 ## 360 TRUE 3 female NA 0 0 330980 7.8792 ## 361 FALSE 3 male 40.00 1 4 347088 27.9000 ## 362 FALSE 2 male 29.00 1 0 SC/PARIS 2167 27.7208 ## 363 FALSE 3 female 45.00 0 1 2691 14.4542 ## 364 FALSE 3 male 35.00 0 0 SOTON/O.Q. 3101310 7.0500 ## 365 FALSE 3 male NA 1 0 370365 15.5000 ## 366 FALSE 3 male 30.00 0 0 C 7076 7.2500 ## 367 TRUE 1 female 60.00 1 0 110813 75.2500 ## 368 TRUE 3 female NA 0 0 2626 7.2292 ## 369 TRUE 3 female NA 0 0 14313 7.7500 ## 370 TRUE 1 female 24.00 0 0 PC 17477 69.3000 ## 371 TRUE 1 male 25.00 1 0 11765 55.4417 ## 372 FALSE 3 male 18.00 1 0 3101267 6.4958 ## 373 FALSE 3 male 19.00 0 0 323951 8.0500 ## 374 FALSE 1 male 22.00 0 0 PC 17760 135.6333 ## 375 FALSE 3 female 3.00 3 1 349909 21.0750 ## 376 TRUE 1 female NA 1 0 PC 17604 82.1708 ## 377 TRUE 3 female 22.00 0 0 C 7077 7.2500 ## 378 FALSE 1 male 27.00 0 2 113503 211.5000 ## 379 FALSE 3 male 20.00 0 0 2648 4.0125 ## 380 FALSE 3 male 19.00 0 0 347069 7.7750 ## 381 TRUE 1 female 42.00 0 0 PC 17757 227.5250 ## 382 TRUE 3 female 1.00 0 2 2653 15.7417 ## 383 FALSE 3 male 32.00 0 0 STON/O 2. 3101293 7.9250 ## 384 TRUE 1 female 35.00 1 0 113789 52.0000 ## 385 FALSE 3 male NA 0 0 349227 7.8958 ## 386 FALSE 2 male 18.00 0 0 S.O.C. 14879 73.5000 ## 387 FALSE 3 male 1.00 5 2 CA 2144 46.9000 ## 388 TRUE 2 female 36.00 0 0 27849 13.0000 ## 389 FALSE 3 male NA 0 0 367655 7.7292 ## 390 TRUE 2 female 17.00 0 0 SC 1748 12.0000 ## 391 TRUE 1 male 36.00 1 2 113760 120.0000 ## 392 TRUE 3 male 21.00 0 0 350034 7.7958 ## 393 FALSE 3 male 28.00 2 0 3101277 7.9250 ## 394 TRUE 1 female 23.00 1 0 35273 113.2750 ## 395 TRUE 3 female 24.00 0 2 PP 9549 16.7000 ## 396 FALSE 3 male 22.00 0 0 350052 7.7958 ## 397 FALSE 3 female 31.00 0 0 350407 7.8542 ## 398 FALSE 2 male 46.00 0 0 28403 26.0000 ## 399 FALSE 2 male 23.00 0 0 244278 10.5000 ## 400 TRUE 2 female 28.00 0 0 240929 12.6500 ## 401 TRUE 3 male 39.00 0 0 STON/O 2. 3101289 7.9250 ## 402 FALSE 3 male 26.00 0 0 341826 8.0500 ## 403 FALSE 3 female 21.00 1 0 4137 9.8250 ## 404 FALSE 3 male 28.00 1 0 STON/O2. 3101279 15.8500 ## 405 FALSE 3 female 20.00 0 0 315096 8.6625 ## 406 FALSE 2 male 34.00 1 0 28664 21.0000 ## 407 FALSE 3 male 51.00 0 0 347064 7.7500 ## 408 TRUE 2 male 3.00 1 1 29106 18.7500 ## 409 FALSE 3 male 21.00 0 0 312992 7.7750 ## 410 FALSE 3 female NA 3 1 4133 25.4667 ## 411 FALSE 3 male NA 0 0 349222 7.8958 ## 412 FALSE 3 male NA 0 0 394140 6.8583 ## 413 TRUE 1 female 33.00 1 0 19928 90.0000 ## 414 FALSE 2 male NA 0 0 239853 0.0000 ## 415 TRUE 3 male 44.00 0 0 STON/O 2. 3101269 7.9250 ## 416 FALSE 3 female NA 0 0 343095 8.0500 ## 417 TRUE 2 female 34.00 1 1 28220 32.5000 ## 418 TRUE 2 female 18.00 0 2 250652 13.0000 ## 419 FALSE 2 male 30.00 0 0 28228 13.0000 ## 420 FALSE 3 female 10.00 0 2 345773 24.1500 ## 421 FALSE 3 male NA 0 0 349254 7.8958 ## 422 FALSE 3 male 21.00 0 0 A/5. 13032 7.7333 ## 423 FALSE 3 male 29.00 0 0 315082 7.8750 ## 424 FALSE 3 female 28.00 1 1 347080 14.4000 ## 425 FALSE 3 male 18.00 1 1 370129 20.2125 ## 426 FALSE 3 male NA 0 0 A/4. 34244 7.2500 ## 427 TRUE 2 female 28.00 1 0 2003 26.0000 ## 428 TRUE 2 female 19.00 0 0 250655 26.0000 ## 429 FALSE 3 male NA 0 0 364851 7.7500 ## 430 TRUE 3 male 32.00 0 0 SOTON/O.Q. 392078 8.0500 ## 431 TRUE 1 male 28.00 0 0 110564 26.5500 ## 432 TRUE 3 female NA 1 0 376564 16.1000 ## 433 TRUE 2 female 42.00 1 0 SC/AH 3085 26.0000 ## 434 FALSE 3 male 17.00 0 0 STON/O 2. 3101274 7.1250 ## 435 FALSE 1 male 50.00 1 0 13507 55.9000 ## 436 TRUE 1 female 14.00 1 2 113760 120.0000 ## 437 FALSE 3 female 21.00 2 2 W./C. 6608 34.3750 ## 438 TRUE 2 female 24.00 2 3 29106 18.7500 ## 439 FALSE 1 male 64.00 1 4 19950 263.0000 ## 440 FALSE 2 male 31.00 0 0 C.A. 18723 10.5000 ## 441 TRUE 2 female 45.00 1 1 F.C.C. 13529 26.2500 ## 442 FALSE 3 male 20.00 0 0 345769 9.5000 ## 443 FALSE 3 male 25.00 1 0 347076 7.7750 ## 444 TRUE 2 female 28.00 0 0 230434 13.0000 ## 445 TRUE 3 male NA 0 0 65306 8.1125 ## 446 TRUE 1 male 4.00 0 2 33638 81.8583 ## 447 TRUE 2 female 13.00 0 1 250644 19.5000 ## 448 TRUE 1 male 34.00 0 0 113794 26.5500 ## 449 TRUE 3 female 5.00 2 1 2666 19.2583 ## 450 TRUE 1 male 52.00 0 0 113786 30.5000 ## 451 FALSE 2 male 36.00 1 2 C.A. 34651 27.7500 ## 452 FALSE 3 male NA 1 0 65303 19.9667 ## 453 FALSE 1 male 30.00 0 0 113051 27.7500 ## 454 TRUE 1 male 49.00 1 0 17453 89.1042 ## 455 FALSE 3 male NA 0 0 A/5 2817 8.0500 ## 456 TRUE 3 male 29.00 0 0 349240 7.8958 ## 457 FALSE 1 male 65.00 0 0 13509 26.5500 ## 458 TRUE 1 female NA 1 0 17464 51.8625 ## 459 TRUE 2 female 50.00 0 0 F.C.C. 13531 10.5000 ## 460 FALSE 3 male NA 0 0 371060 7.7500 ## 461 TRUE 1 male 48.00 0 0 19952 26.5500 ## 462 FALSE 3 male 34.00 0 0 364506 8.0500 ## 463 FALSE 1 male 47.00 0 0 111320 38.5000 ## 464 FALSE 2 male 48.00 0 0 234360 13.0000 ## 465 FALSE 3 male NA 0 0 A/S 2816 8.0500 ## 466 FALSE 3 male 38.00 0 0 SOTON/O.Q. 3101306 7.0500 ## 467 FALSE 2 male NA 0 0 239853 0.0000 ## 468 FALSE 1 male 56.00 0 0 113792 26.5500 ## 469 FALSE 3 male NA 0 0 36209 7.7250 ## 470 TRUE 3 female 0.75 2 1 2666 19.2583 ## 471 FALSE 3 male NA 0 0 323592 7.2500 ## 472 FALSE 3 male 38.00 0 0 315089 8.6625 ## 473 TRUE 2 female 33.00 1 2 C.A. 34651 27.7500 ## 474 TRUE 2 female 23.00 0 0 SC/AH Basle 541 13.7917 ## 475 FALSE 3 female 22.00 0 0 7553 9.8375 ## 476 FALSE 1 male NA 0 0 110465 52.0000 ## 477 FALSE 2 male 34.00 1 0 31027 21.0000 ## 478 FALSE 3 male 29.00 1 0 3460 7.0458 ## 479 FALSE 3 male 22.00 0 0 350060 7.5208 ## 480 TRUE 3 female 2.00 0 1 3101298 12.2875 ## 481 FALSE 3 male 9.00 5 2 CA 2144 46.9000 ## 482 FALSE 2 male NA 0 0 239854 0.0000 ## 483 FALSE 3 male 50.00 0 0 A/5 3594 8.0500 ## 484 TRUE 3 female 63.00 0 0 4134 9.5875 ## 485 TRUE 1 male 25.00 1 0 11967 91.0792 ## 486 FALSE 3 female NA 3 1 4133 25.4667 ## 487 TRUE 1 female 35.00 1 0 19943 90.0000 ## 488 FALSE 1 male 58.00 0 0 11771 29.7000 ## 489 FALSE 3 male 30.00 0 0 A.5. 18509 8.0500 ## 490 TRUE 3 male 9.00 1 1 C.A. 37671 15.9000 ## 491 FALSE 3 male NA 1 0 65304 19.9667 ## 492 FALSE 3 male 21.00 0 0 SOTON/OQ 3101317 7.2500 ## 493 FALSE 1 male 55.00 0 0 113787 30.5000 ## 494 FALSE 1 male 71.00 0 0 PC 17609 49.5042 ## 495 FALSE 3 male 21.00 0 0 A/4 45380 8.0500 ## 496 FALSE 3 male NA 0 0 2627 14.4583 ## 497 TRUE 1 female 54.00 1 0 36947 78.2667 ## 498 FALSE 3 male NA 0 0 C.A. 6212 15.1000 ## 499 FALSE 1 female 25.00 1 2 113781 151.5500 ## 500 FALSE 3 male 24.00 0 0 350035 7.7958 ## 501 FALSE 3 male 17.00 0 0 315086 8.6625 ## 502 FALSE 3 female 21.00 0 0 364846 7.7500 ## 503 FALSE 3 female NA 0 0 330909 7.6292 ## 504 FALSE 3 female 37.00 0 0 4135 9.5875 ## 505 TRUE 1 female 16.00 0 0 110152 86.5000 ## 506 FALSE 1 male 18.00 1 0 PC 17758 108.9000 ## 507 TRUE 2 female 33.00 0 2 26360 26.0000 ## 508 TRUE 1 male NA 0 0 111427 26.5500 ## 509 FALSE 3 male 28.00 0 0 C 4001 22.5250 ## 510 TRUE 3 male 26.00 0 0 1601 56.4958 ## 511 TRUE 3 male 29.00 0 0 382651 7.7500 ## 512 FALSE 3 male NA 0 0 SOTON/OQ 3101316 8.0500 ## 513 TRUE 1 male 36.00 0 0 PC 17473 26.2875 ## 514 TRUE 1 female 54.00 1 0 PC 17603 59.4000 ## 515 FALSE 3 male 24.00 0 0 349209 7.4958 ## 516 FALSE 1 male 47.00 0 0 36967 34.0208 ## 517 TRUE 2 female 34.00 0 0 C.A. 34260 10.5000 ## 518 FALSE 3 male NA 0 0 371110 24.1500 ## 519 TRUE 2 female 36.00 1 0 226875 26.0000 ## 520 FALSE 3 male 32.00 0 0 349242 7.8958 ## 521 TRUE 1 female 30.00 0 0 12749 93.5000 ## 522 FALSE 3 male 22.00 0 0 349252 7.8958 ## 523 FALSE 3 male NA 0 0 2624 7.2250 ## 524 TRUE 1 female 44.00 0 1 111361 57.9792 ## 525 FALSE 3 male NA 0 0 2700 7.2292 ## 526 FALSE 3 male 40.50 0 0 367232 7.7500 ## 527 TRUE 2 female 50.00 0 0 W./C. 14258 10.5000 ## 528 FALSE 1 male NA 0 0 PC 17483 221.7792 ## 529 FALSE 3 male 39.00 0 0 3101296 7.9250 ## 530 FALSE 2 male 23.00 2 1 29104 11.5000 ## 531 TRUE 2 female 2.00 1 1 26360 26.0000 ## 532 FALSE 3 male NA 0 0 2641 7.2292 ## 533 FALSE 3 male 17.00 1 1 2690 7.2292 ## 534 TRUE 3 female NA 0 2 2668 22.3583 ## 535 FALSE 3 female 30.00 0 0 315084 8.6625 ## 536 TRUE 2 female 7.00 0 2 F.C.C. 13529 26.2500 ## 537 FALSE 1 male 45.00 0 0 113050 26.5500 ## 538 TRUE 1 female 30.00 0 0 PC 17761 106.4250 ## 539 FALSE 3 male NA 0 0 364498 14.5000 ## 540 TRUE 1 female 22.00 0 2 13568 49.5000 ## 541 TRUE 1 female 36.00 0 2 WE/P 5735 71.0000 ## 542 FALSE 3 female 9.00 4 2 347082 31.2750 ## 543 FALSE 3 female 11.00 4 2 347082 31.2750 ## 544 TRUE 2 male 32.00 1 0 2908 26.0000 ## 545 FALSE 1 male 50.00 1 0 PC 17761 106.4250 ## 546 FALSE 1 male 64.00 0 0 693 26.0000 ## 547 TRUE 2 female 19.00 1 0 2908 26.0000 ## 548 TRUE 2 male NA 0 0 SC/PARIS 2146 13.8625 ## 549 FALSE 3 male 33.00 1 1 363291 20.5250 ## 550 TRUE 2 male 8.00 1 1 C.A. 33112 36.7500 ## 551 TRUE 1 male 17.00 0 2 17421 110.8833 ## 552 FALSE 2 male 27.00 0 0 244358 26.0000 ## 553 FALSE 3 male NA 0 0 330979 7.8292 ## 554 TRUE 3 male 22.00 0 0 2620 7.2250 ## 555 TRUE 3 female 22.00 0 0 347085 7.7750 ## 556 FALSE 1 male 62.00 0 0 113807 26.5500 ## 557 TRUE 1 female 48.00 1 0 11755 39.6000 ## 558 FALSE 1 male NA 0 0 PC 17757 227.5250 ## 559 TRUE 1 female 39.00 1 1 110413 79.6500 ## 560 TRUE 3 female 36.00 1 0 345572 17.4000 ## 561 FALSE 3 male NA 0 0 372622 7.7500 ## 562 FALSE 3 male 40.00 0 0 349251 7.8958 ## 563 FALSE 2 male 28.00 0 0 218629 13.5000 ## 564 FALSE 3 male NA 0 0 SOTON/OQ 392082 8.0500 ## 565 FALSE 3 female NA 0 0 SOTON/O.Q. 392087 8.0500 ## 566 FALSE 3 male 24.00 2 0 A/4 48871 24.1500 ## 567 FALSE 3 male 19.00 0 0 349205 7.8958 ## 568 FALSE 3 female 29.00 0 4 349909 21.0750 ## 569 FALSE 3 male NA 0 0 2686 7.2292 ## 570 TRUE 3 male 32.00 0 0 350417 7.8542 ## 571 TRUE 2 male 62.00 0 0 S.W./PP 752 10.5000 ## 572 TRUE 1 female 53.00 2 0 11769 51.4792 ## 573 TRUE 1 male 36.00 0 0 PC 17474 26.3875 ## 574 TRUE 3 female NA 0 0 14312 7.7500 ## 575 FALSE 3 male 16.00 0 0 A/4. 20589 8.0500 ## 576 FALSE 3 male 19.00 0 0 358585 14.5000 ## 577 TRUE 2 female 34.00 0 0 243880 13.0000 ## 578 TRUE 1 female 39.00 1 0 13507 55.9000 ## 579 FALSE 3 female NA 1 0 2689 14.4583 ## 580 TRUE 3 male 32.00 0 0 STON/O 2. 3101286 7.9250 ## 581 TRUE 2 female 25.00 1 1 237789 30.0000 ## 582 TRUE 1 female 39.00 1 1 17421 110.8833 ## 583 FALSE 2 male 54.00 0 0 28403 26.0000 ## 584 FALSE 1 male 36.00 0 0 13049 40.1250 ## 585 FALSE 3 male NA 0 0 3411 8.7125 ## 586 TRUE 1 female 18.00 0 2 110413 79.6500 ## 587 FALSE 2 male 47.00 0 0 237565 15.0000 ## 588 TRUE 1 male 60.00 1 1 13567 79.2000 ## 589 FALSE 3 male 22.00 0 0 14973 8.0500 ## 590 FALSE 3 male NA 0 0 A./5. 3235 8.0500 ## 591 FALSE 3 male 35.00 0 0 STON/O 2. 3101273 7.1250 ## 592 TRUE 1 female 52.00 1 0 36947 78.2667 ## 593 FALSE 3 male 47.00 0 0 A/5 3902 7.2500 ## 594 FALSE 3 female NA 0 2 364848 7.7500 ## 595 FALSE 2 male 37.00 1 0 SC/AH 29037 26.0000 ## 596 FALSE 3 male 36.00 1 1 345773 24.1500 ## 597 TRUE 2 female NA 0 0 248727 33.0000 ## 598 FALSE 3 male 49.00 0 0 LINE 0.0000 ## 599 FALSE 3 male NA 0 0 2664 7.2250 ## 600 TRUE 1 male 49.00 1 0 PC 17485 56.9292 ## 601 TRUE 2 female 24.00 2 1 243847 27.0000 ## 602 FALSE 3 male NA 0 0 349214 7.8958 ## 603 FALSE 1 male NA 0 0 113796 42.4000 ## 604 FALSE 3 male 44.00 0 0 364511 8.0500 ## 605 TRUE 1 male 35.00 0 0 111426 26.5500 ## 606 FALSE 3 male 36.00 1 0 349910 15.5500 ## 607 FALSE 3 male 30.00 0 0 349246 7.8958 ## 608 TRUE 1 male 27.00 0 0 113804 30.5000 ## 609 TRUE 2 female 22.00 1 2 SC/Paris 2123 41.5792 ## 610 TRUE 1 female 40.00 0 0 PC 17582 153.4625 ## 611 FALSE 3 female 39.00 1 5 347082 31.2750 ## 612 FALSE 3 male NA 0 0 SOTON/O.Q. 3101305 7.0500 ## 613 TRUE 3 female NA 1 0 367230 15.5000 ## 614 FALSE 3 male NA 0 0 370377 7.7500 ## 615 FALSE 3 male 35.00 0 0 364512 8.0500 ## 616 TRUE 2 female 24.00 1 2 220845 65.0000 ## 617 FALSE 3 male 34.00 1 1 347080 14.4000 ## 618 FALSE 3 female 26.00 1 0 A/5. 3336 16.1000 ## 619 TRUE 2 female 4.00 2 1 230136 39.0000 ## 620 FALSE 2 male 26.00 0 0 31028 10.5000 ## 621 FALSE 3 male 27.00 1 0 2659 14.4542 ## 622 TRUE 1 male 42.00 1 0 11753 52.5542 ## 623 TRUE 3 male 20.00 1 1 2653 15.7417 ## 624 FALSE 3 male 21.00 0 0 350029 7.8542 ## 625 FALSE 3 male 21.00 0 0 54636 16.1000 ## 626 FALSE 1 male 61.00 0 0 36963 32.3208 ## 627 FALSE 2 male 57.00 0 0 219533 12.3500 ## 628 TRUE 1 female 21.00 0 0 13502 77.9583 ## 629 FALSE 3 male 26.00 0 0 349224 7.8958 ## 630 FALSE 3 male NA 0 0 334912 7.7333 ## 631 TRUE 1 male 80.00 0 0 27042 30.0000 ## 632 FALSE 3 male 51.00 0 0 347743 7.0542 ## 633 TRUE 1 male 32.00 0 0 13214 30.5000 ## 634 FALSE 1 male NA 0 0 112052 0.0000 ## 635 FALSE 3 female 9.00 3 2 347088 27.9000 ## 636 TRUE 2 female 28.00 0 0 237668 13.0000 ## 637 FALSE 3 male 32.00 0 0 STON/O 2. 3101292 7.9250 ## 638 FALSE 2 male 31.00 1 1 C.A. 31921 26.2500 ## 639 FALSE 3 female 41.00 0 5 3101295 39.6875 ## 640 FALSE 3 male NA 1 0 376564 16.1000 ## 641 FALSE 3 male 20.00 0 0 350050 7.8542 ## 642 TRUE 1 female 24.00 0 0 PC 17477 69.3000 ## 643 FALSE 3 female 2.00 3 2 347088 27.9000 ## 644 TRUE 3 male NA 0 0 1601 56.4958 ## 645 TRUE 3 female 0.75 2 1 2666 19.2583 ## 646 TRUE 1 male 48.00 1 0 PC 17572 76.7292 ## 647 FALSE 3 male 19.00 0 0 349231 7.8958 ## 648 TRUE 1 male 56.00 0 0 13213 35.5000 ## 649 FALSE 3 male NA 0 0 S.O./P.P. 751 7.5500 ## 650 TRUE 3 female 23.00 0 0 CA. 2314 7.5500 ## 651 FALSE 3 male NA 0 0 349221 7.8958 ## 652 TRUE 2 female 18.00 0 1 231919 23.0000 ## 653 FALSE 3 male 21.00 0 0 8475 8.4333 ## 654 TRUE 3 female NA 0 0 330919 7.8292 ## 655 FALSE 3 female 18.00 0 0 365226 6.7500 ## 656 FALSE 2 male 24.00 2 0 S.O.C. 14879 73.5000 ## 657 FALSE 3 male NA 0 0 349223 7.8958 ## 658 FALSE 3 female 32.00 1 1 364849 15.5000 ## 659 FALSE 2 male 23.00 0 0 29751 13.0000 ## 660 FALSE 1 male 58.00 0 2 35273 113.2750 ## 661 TRUE 1 male 50.00 2 0 PC 17611 133.6500 ## 662 FALSE 3 male 40.00 0 0 2623 7.2250 ## 663 FALSE 1 male 47.00 0 0 5727 25.5875 ## 664 FALSE 3 male 36.00 0 0 349210 7.4958 ## 665 TRUE 3 male 20.00 1 0 STON/O 2. 3101285 7.9250 ## 666 FALSE 2 male 32.00 2 0 S.O.C. 14879 73.5000 ## 667 FALSE 2 male 25.00 0 0 234686 13.0000 ## 668 FALSE 3 male NA 0 0 312993 7.7750 ## 669 FALSE 3 male 43.00 0 0 A/5 3536 8.0500 ## 670 TRUE 1 female NA 1 0 19996 52.0000 ## 671 TRUE 2 female 40.00 1 1 29750 39.0000 ## 672 FALSE 1 male 31.00 1 0 F.C. 12750 52.0000 ## 673 FALSE 2 male 70.00 0 0 C.A. 24580 10.5000 ## 674 TRUE 2 male 31.00 0 0 244270 13.0000 ## 675 FALSE 2 male NA 0 0 239856 0.0000 ## 676 FALSE 3 male 18.00 0 0 349912 7.7750 ## 677 FALSE 3 male 24.50 0 0 342826 8.0500 ## 678 TRUE 3 female 18.00 0 0 4138 9.8417 ## 679 FALSE 3 female 43.00 1 6 CA 2144 46.9000 ## 680 TRUE 1 male 36.00 0 1 PC 17755 512.3292 ## 681 FALSE 3 female NA 0 0 330935 8.1375 ## 682 TRUE 1 male 27.00 0 0 PC 17572 76.7292 ## 683 FALSE 3 male 20.00 0 0 6563 9.2250 ## 684 FALSE 3 male 14.00 5 2 CA 2144 46.9000 ## 685 FALSE 2 male 60.00 1 1 29750 39.0000 ## 686 FALSE 2 male 25.00 1 2 SC/Paris 2123 41.5792 ## 687 FALSE 3 male 14.00 4 1 3101295 39.6875 ## 688 FALSE 3 male 19.00 0 0 349228 10.1708 ## 689 FALSE 3 male 18.00 0 0 350036 7.7958 ## 690 TRUE 1 female 15.00 0 1 24160 211.3375 ## 691 TRUE 1 male 31.00 1 0 17474 57.0000 ## 692 TRUE 3 female 4.00 0 1 349256 13.4167 ## 693 TRUE 3 male NA 0 0 1601 56.4958 ## 694 FALSE 3 male 25.00 0 0 2672 7.2250 ## 695 FALSE 1 male 60.00 0 0 113800 26.5500 ## 696 FALSE 2 male 52.00 0 0 248731 13.5000 ## 697 FALSE 3 male 44.00 0 0 363592 8.0500 ## 698 TRUE 3 female NA 0 0 35852 7.7333 ## 699 FALSE 1 male 49.00 1 1 17421 110.8833 ## 700 FALSE 3 male 42.00 0 0 348121 7.6500 ## 701 TRUE 1 female 18.00 1 0 PC 17757 227.5250 ## 702 TRUE 1 male 35.00 0 0 PC 17475 26.2875 ## 703 FALSE 3 female 18.00 0 1 2691 14.4542 ## 704 FALSE 3 male 25.00 0 0 36864 7.7417 ## 705 FALSE 3 male 26.00 1 0 350025 7.8542 ## 706 FALSE 2 male 39.00 0 0 250655 26.0000 ## 707 TRUE 2 female 45.00 0 0 223596 13.5000 ## 708 TRUE 1 male 42.00 0 0 PC 17476 26.2875 ## 709 TRUE 1 female 22.00 0 0 113781 151.5500 ## 710 TRUE 3 male NA 1 1 2661 15.2458 ## 711 TRUE 1 female 24.00 0 0 PC 17482 49.5042 ## 712 FALSE 1 male NA 0 0 113028 26.5500 ## 713 TRUE 1 male 48.00 1 0 19996 52.0000 ## 714 FALSE 3 male 29.00 0 0 7545 9.4833 ## 715 FALSE 2 male 52.00 0 0 250647 13.0000 ## 716 FALSE 3 male 19.00 0 0 348124 7.6500 ## 717 TRUE 1 female 38.00 0 0 PC 17757 227.5250 ## 718 TRUE 2 female 27.00 0 0 34218 10.5000 ## 719 FALSE 3 male NA 0 0 36568 15.5000 ## 720 FALSE 3 male 33.00 0 0 347062 7.7750 ## 721 TRUE 2 female 6.00 0 1 248727 33.0000 ## 722 FALSE 3 male 17.00 1 0 350048 7.0542 ## 723 FALSE 2 male 34.00 0 0 12233 13.0000 ## 724 FALSE 2 male 50.00 0 0 250643 13.0000 ## 725 TRUE 1 male 27.00 1 0 113806 53.1000 ## 726 FALSE 3 male 20.00 0 0 315094 8.6625 ## 727 TRUE 2 female 30.00 3 0 31027 21.0000 ## 728 TRUE 3 female NA 0 0 36866 7.7375 ## 729 FALSE 2 male 25.00 1 0 236853 26.0000 ## 730 FALSE 3 female 25.00 1 0 STON/O2. 3101271 7.9250 ## 731 TRUE 1 female 29.00 0 0 24160 211.3375 ## 732 FALSE 3 male 11.00 0 0 2699 18.7875 ## 733 FALSE 2 male NA 0 0 239855 0.0000 ## 734 FALSE 2 male 23.00 0 0 28425 13.0000 ## 735 FALSE 2 male 23.00 0 0 233639 13.0000 ## 736 FALSE 3 male 28.50 0 0 54636 16.1000 ## 737 FALSE 3 female 48.00 1 3 W./C. 6608 34.3750 ## 738 TRUE 1 male 35.00 0 0 PC 17755 512.3292 ## 739 FALSE 3 male NA 0 0 349201 7.8958 ## 740 FALSE 3 male NA 0 0 349218 7.8958 ## 741 TRUE 1 male NA 0 0 16988 30.0000 ## 742 FALSE 1 male 36.00 1 0 19877 78.8500 ## 743 TRUE 1 female 21.00 2 2 PC 17608 262.3750 ## 744 FALSE 3 male 24.00 1 0 376566 16.1000 ## 745 TRUE 3 male 31.00 0 0 STON/O 2. 3101288 7.9250 ## 746 FALSE 1 male 70.00 1 1 WE/P 5735 71.0000 ## 747 FALSE 3 male 16.00 1 1 C.A. 2673 20.2500 ## 748 TRUE 2 female 30.00 0 0 250648 13.0000 ## 749 FALSE 1 male 19.00 1 0 113773 53.1000 ## 750 FALSE 3 male 31.00 0 0 335097 7.7500 ## 751 TRUE 2 female 4.00 1 1 29103 23.0000 ## 752 TRUE 3 male 6.00 0 1 392096 12.4750 ## 753 FALSE 3 male 33.00 0 0 345780 9.5000 ## 754 FALSE 3 male 23.00 0 0 349204 7.8958 ## 755 TRUE 2 female 48.00 1 2 220845 65.0000 ## 756 TRUE 2 male 0.67 1 1 250649 14.5000 ## 757 FALSE 3 male 28.00 0 0 350042 7.7958 ## 758 FALSE 2 male 18.00 0 0 29108 11.5000 ## 759 FALSE 3 male 34.00 0 0 363294 8.0500 ## 760 TRUE 1 female 33.00 0 0 110152 86.5000 ## 761 FALSE 3 male NA 0 0 358585 14.5000 ## 762 FALSE 3 male 41.00 0 0 SOTON/O2 3101272 7.1250 ## 763 TRUE 3 male 20.00 0 0 2663 7.2292 ## 764 TRUE 1 female 36.00 1 2 113760 120.0000 ## 765 FALSE 3 male 16.00 0 0 347074 7.7750 ## 766 TRUE 1 female 51.00 1 0 13502 77.9583 ## 767 FALSE 1 male NA 0 0 112379 39.6000 ## 768 FALSE 3 female 30.50 0 0 364850 7.7500 ## 769 FALSE 3 male NA 1 0 371110 24.1500 ## 770 FALSE 3 male 32.00 0 0 8471 8.3625 ## 771 FALSE 3 male 24.00 0 0 345781 9.5000 ## 772 FALSE 3 male 48.00 0 0 350047 7.8542 ## 773 FALSE 2 female 57.00 0 0 S.O./P.P. 3 10.5000 ## 774 FALSE 3 male NA 0 0 2674 7.2250 ## 775 TRUE 2 female 54.00 1 3 29105 23.0000 ## 776 FALSE 3 male 18.00 0 0 347078 7.7500 ## 777 FALSE 3 male NA 0 0 383121 7.7500 ## 778 TRUE 3 female 5.00 0 0 364516 12.4750 ## 779 FALSE 3 male NA 0 0 36865 7.7375 ## 780 TRUE 1 female 43.00 0 1 24160 211.3375 ## 781 TRUE 3 female 13.00 0 0 2687 7.2292 ## 782 TRUE 1 female 17.00 1 0 17474 57.0000 ## 783 FALSE 1 male 29.00 0 0 113501 30.0000 ## 784 FALSE 3 male NA 1 2 W./C. 6607 23.4500 ## 785 FALSE 3 male 25.00 0 0 SOTON/O.Q. 3101312 7.0500 ## 786 FALSE 3 male 25.00 0 0 374887 7.2500 ## 787 TRUE 3 female 18.00 0 0 3101265 7.4958 ## 788 FALSE 3 male 8.00 4 1 382652 29.1250 ## 789 TRUE 3 male 1.00 1 2 C.A. 2315 20.5750 ## 790 FALSE 1 male 46.00 0 0 PC 17593 79.2000 ## 791 FALSE 3 male NA 0 0 12460 7.7500 ## 792 FALSE 2 male 16.00 0 0 239865 26.0000 ## 793 FALSE 3 female NA 8 2 CA. 2343 69.5500 ## 794 FALSE 1 male NA 0 0 PC 17600 30.6958 ## 795 FALSE 3 male 25.00 0 0 349203 7.8958 ## 796 FALSE 2 male 39.00 0 0 28213 13.0000 ## 797 TRUE 1 female 49.00 0 0 17465 25.9292 ## 798 TRUE 3 female 31.00 0 0 349244 8.6833 ## 799 FALSE 3 male 30.00 0 0 2685 7.2292 ## 800 FALSE 3 female 30.00 1 1 345773 24.1500 ## 801 FALSE 2 male 34.00 0 0 250647 13.0000 ## 802 TRUE 2 female 31.00 1 1 C.A. 31921 26.2500 ## 803 TRUE 1 male 11.00 1 2 113760 120.0000 ## 804 TRUE 3 male 0.42 0 1 2625 8.5167 ## 805 TRUE 3 male 27.00 0 0 347089 6.9750 ## 806 FALSE 3 male 31.00 0 0 347063 7.7750 ## 807 FALSE 1 male 39.00 0 0 112050 0.0000 ## 808 FALSE 3 female 18.00 0 0 347087 7.7750 ## 809 FALSE 2 male 39.00 0 0 248723 13.0000 ## 810 TRUE 1 female 33.00 1 0 113806 53.1000 ## 811 FALSE 3 male 26.00 0 0 3474 7.8875 ## 812 FALSE 3 male 39.00 0 0 A/4 48871 24.1500 ## 813 FALSE 2 male 35.00 0 0 28206 10.5000 ## 814 FALSE 3 female 6.00 4 2 347082 31.2750 ## 815 FALSE 3 male 30.50 0 0 364499 8.0500 ## 816 FALSE 1 male NA 0 0 112058 0.0000 ## 817 FALSE 3 female 23.00 0 0 STON/O2. 3101290 7.9250 ## 818 FALSE 2 male 31.00 1 1 S.C./PARIS 2079 37.0042 ## 819 FALSE 3 male 43.00 0 0 C 7075 6.4500 ## 820 FALSE 3 male 10.00 3 2 347088 27.9000 ## 821 TRUE 1 female 52.00 1 1 12749 93.5000 ## 822 TRUE 3 male 27.00 0 0 315098 8.6625 ## 823 FALSE 1 male 38.00 0 0 19972 0.0000 ## 824 TRUE 3 female 27.00 0 1 392096 12.4750 ## 825 FALSE 3 male 2.00 4 1 3101295 39.6875 ## 826 FALSE 3 male NA 0 0 368323 6.9500 ## 827 FALSE 3 male NA 0 0 1601 56.4958 ## 828 TRUE 2 male 1.00 0 2 S.C./PARIS 2079 37.0042 ## 829 TRUE 3 male NA 0 0 367228 7.7500 ## 830 TRUE 1 female 62.00 0 0 113572 80.0000 ## 831 TRUE 3 female 15.00 1 0 2659 14.4542 ## 832 TRUE 2 male 0.83 1 1 29106 18.7500 ## 833 FALSE 3 male NA 0 0 2671 7.2292 ## 834 FALSE 3 male 23.00 0 0 347468 7.8542 ## 835 FALSE 3 male 18.00 0 0 2223 8.3000 ## 836 TRUE 1 female 39.00 1 1 PC 17756 83.1583 ## 837 FALSE 3 male 21.00 0 0 315097 8.6625 ## 838 FALSE 3 male NA 0 0 392092 8.0500 ## 839 TRUE 3 male 32.00 0 0 1601 56.4958 ## 840 TRUE 1 male NA 0 0 11774 29.7000 ## 841 FALSE 3 male 20.00 0 0 SOTON/O2 3101287 7.9250 ## 842 FALSE 2 male 16.00 0 0 S.O./P.P. 3 10.5000 ## 843 TRUE 1 female 30.00 0 0 113798 31.0000 ## 844 FALSE 3 male 34.50 0 0 2683 6.4375 ## 845 FALSE 3 male 17.00 0 0 315090 8.6625 ## 846 FALSE 3 male 42.00 0 0 C.A. 5547 7.5500 ## 847 FALSE 3 male NA 8 2 CA. 2343 69.5500 ## 848 FALSE 3 male 35.00 0 0 349213 7.8958 ## 849 FALSE 2 male 28.00 0 1 248727 33.0000 ## 850 TRUE 1 female NA 1 0 17453 89.1042 ## 851 FALSE 3 male 4.00 4 2 347082 31.2750 ## 852 FALSE 3 male 74.00 0 0 347060 7.7750 ## 853 FALSE 3 female 9.00 1 1 2678 15.2458 ## 854 TRUE 1 female 16.00 0 1 PC 17592 39.4000 ## 855 FALSE 2 female 44.00 1 0 244252 26.0000 ## 856 TRUE 3 female 18.00 0 1 392091 9.3500 ## 857 TRUE 1 female 45.00 1 1 36928 164.8667 ## 858 TRUE 1 male 51.00 0 0 113055 26.5500 ## 859 TRUE 3 female 24.00 0 3 2666 19.2583 ## 860 FALSE 3 male NA 0 0 2629 7.2292 ## 861 FALSE 3 male 41.00 2 0 350026 14.1083 ## 862 FALSE 2 male 21.00 1 0 28134 11.5000 ## 863 TRUE 1 female 48.00 0 0 17466 25.9292 ## 864 FALSE 3 female NA 8 2 CA. 2343 69.5500 ## 865 FALSE 2 male 24.00 0 0 233866 13.0000 ## 866 TRUE 2 female 42.00 0 0 236852 13.0000 ## 867 TRUE 2 female 27.00 1 0 SC/PARIS 2149 13.8583 ## 868 FALSE 1 male 31.00 0 0 PC 17590 50.4958 ## 869 FALSE 3 male NA 0 0 345777 9.5000 ## 870 TRUE 3 male 4.00 1 1 347742 11.1333 ## 871 FALSE 3 male 26.00 0 0 349248 7.8958 ## 872 TRUE 1 female 47.00 1 1 11751 52.5542 ## 873 FALSE 1 male 33.00 0 0 695 5.0000 ## 874 FALSE 3 male 47.00 0 0 345765 9.0000 ## 875 TRUE 2 female 28.00 1 0 P/PP 3381 24.0000 ## 876 TRUE 3 female 15.00 0 0 2667 7.2250 ## 877 FALSE 3 male 20.00 0 0 7534 9.8458 ## 878 FALSE 3 male 19.00 0 0 349212 7.8958 ## 879 FALSE 3 male NA 0 0 349217 7.8958 ## 880 TRUE 1 female 56.00 0 1 11767 83.1583 ## 881 TRUE 2 female 25.00 0 1 230433 26.0000 ## 882 FALSE 3 male 33.00 0 0 349257 7.8958 ## 883 FALSE 3 female 22.00 0 0 7552 10.5167 ## 884 FALSE 2 male 28.00 0 0 C.A./SOTON 34068 10.5000 ## 885 FALSE 3 male 25.00 0 0 SOTON/OQ 392076 7.0500 ## 886 FALSE 3 female 39.00 0 5 382652 29.1250 ## 887 FALSE 2 male 27.00 0 0 211536 13.0000 ## 888 TRUE 1 female 19.00 0 0 112053 30.0000 ## 889 FALSE 3 female NA 1 2 W./C. 6607 23.4500 ## 890 TRUE 1 male 26.00 0 0 111369 30.0000 ## 891 FALSE 3 male 32.00 0 0 370376 7.7500 ## Cabin Embarked age_new ## 1 S 130.00 ## 2 C85 C 146.00 ## 3 S 134.00 ## 4 C123 S 143.00 ## 5 S 143.00 ## 6 Q NA ## 7 E46 S 162.00 ## 8 S 110.00 ## 9 S 135.00 ## 10 C 122.00 ## 11 G6 S 112.00 ## 12 C103 S 166.00 ## 13 S 128.00 ## 14 S 147.00 ## 15 S 122.00 ## 16 S 163.00 ## 17 Q 110.00 ## 18 S NA ## 19 S 139.00 ## 20 C NA ## 21 S 143.00 ## 22 D56 S 142.00 ## 23 Q 123.00 ## 24 A6 S 136.00 ## 25 S 116.00 ## 26 S 146.00 ## 27 C NA ## 28 C23 C25 C27 S 127.00 ## 29 Q NA ## 30 S NA ## 31 C 148.00 ## 32 B78 C NA ## 33 Q NA ## 34 S 174.00 ## 35 C 136.00 ## 36 S 150.00 ## 37 C NA ## 38 S 129.00 ## 39 S 126.00 ## 40 C 122.00 ## 41 S 148.00 ## 42 S 135.00 ## 43 C NA ## 44 C 111.00 ## 45 Q 127.00 ## 46 S NA ## 47 Q NA ## 48 Q NA ## 49 C NA ## 50 S 126.00 ## 51 S 115.00 ## 52 S 129.00 ## 53 D33 C 157.00 ## 54 S 137.00 ## 55 B30 C 173.00 ## 56 C52 S NA ## 57 S 129.00 ## 58 C 136.50 ## 59 S 113.00 ## 60 S 119.00 ## 61 C 130.00 ## 62 B28 146.00 ## 63 C83 S 153.00 ## 64 S 112.00 ## 65 C NA ## 66 C NA ## 67 F33 S 137.00 ## 68 S 127.00 ## 69 S 125.00 ## 70 S 134.00 ## 71 S 140.00 ## 72 S 124.00 ## 73 S 129.00 ## 74 C 134.00 ## 75 S 140.00 ## 76 F G73 S 133.00 ## 77 S NA ## 78 S NA ## 79 S 108.83 ## 80 S 138.00 ## 81 S 130.00 ## 82 S 137.00 ## 83 Q NA ## 84 S 136.00 ## 85 S 125.00 ## 86 S 141.00 ## 87 S 124.00 ## 88 S NA ## 89 C23 C25 C27 S 131.00 ## 90 S 132.00 ## 91 S 137.00 ## 92 S 128.00 ## 93 E31 S 154.00 ## 94 S 134.00 ## 95 S 167.00 ## 96 S NA ## 97 A5 C 179.00 ## 98 D10 D12 C 131.00 ## 99 S 142.00 ## 100 S 142.00 ## 101 S 136.00 ## 102 S NA ## 103 D26 S 129.00 ## 104 S 141.00 ## 105 S 145.00 ## 106 S 136.00 ## 107 S 129.00 ## 108 S NA ## 109 S 146.00 ## 110 Q NA ## 111 C110 S 155.00 ## 112 C 122.50 ## 113 S 130.00 ## 114 S 128.00 ## 115 C 125.00 ## 116 S 129.00 ## 117 Q 178.50 ## 118 S 137.00 ## 119 B58 B60 C 132.00 ## 120 S 110.00 ## 121 S 129.00 ## 122 S NA ## 123 C 140.50 ## 124 E101 S 140.50 ## 125 D26 S 162.00 ## 126 C 120.00 ## 127 Q NA ## 128 S 132.00 ## 129 F E69 C NA ## 130 S 153.00 ## 131 C 141.00 ## 132 S 128.00 ## 133 S 155.00 ## 134 S 137.00 ## 135 S 133.00 ## 136 C 131.00 ## 137 D47 S 127.00 ## 138 C123 S 145.00 ## 139 S 124.00 ## 140 B86 C 132.00 ## 141 C NA ## 142 S 130.00 ## 143 S 132.00 ## 144 Q 127.00 ## 145 S 126.00 ## 146 S 127.00 ## 147 S 135.00 ## 148 S 117.00 ## 149 F2 S 144.50 ## 150 S 150.00 ## 151 S 159.00 ## 152 C2 S 130.00 ## 153 S 163.50 ## 154 S 148.50 ## 155 S NA ## 156 C 159.00 ## 157 Q 124.00 ## 158 S 138.00 ## 159 S NA ## 160 S NA ## 161 S 152.00 ## 162 S 148.00 ## 163 S 134.00 ## 164 S 125.00 ## 165 S 109.00 ## 166 S 117.00 ## 167 E33 S NA ## 168 S 153.00 ## 169 S NA ## 170 S 136.00 ## 171 B19 S 169.00 ## 172 Q 112.00 ## 173 S 109.00 ## 174 S 129.00 ## 175 A7 C 164.00 ## 176 S 126.00 ## 177 S NA ## 178 C49 C 158.00 ## 179 S 138.00 ## 180 S 144.00 ## 181 S NA ## 182 C NA ## 183 S 117.00 ## 184 F4 S 109.00 ## 185 S 112.00 ## 186 A32 S NA ## 187 Q NA ## 188 S 153.00 ## 189 Q 148.00 ## 190 S 144.00 ## 191 S 140.00 ## 192 S 127.00 ## 193 S 127.00 ## 194 F2 S 111.00 ## 195 B4 C 152.00 ## 196 B80 C 166.00 ## 197 Q NA ## 198 S 150.00 ## 199 Q NA ## 200 S 132.00 ## 201 S 136.00 ## 202 S NA ## 203 S 142.00 ## 204 C 153.50 ## 205 S 126.00 ## 206 G6 S 110.00 ## 207 S 140.00 ## 208 C 134.00 ## 209 Q 124.00 ## 210 A31 C 148.00 ## 211 S 132.00 ## 212 S 143.00 ## 213 S 130.00 ## 214 S 138.00 ## 215 Q NA ## 216 D36 C 139.00 ## 217 S 135.00 ## 218 S 150.00 ## 219 D15 C 140.00 ## 220 S 138.00 ## 221 S 124.00 ## 222 S 135.00 ## 223 S 159.00 ## 224 S NA ## 225 C93 S 146.00 ## 226 S 130.00 ## 227 S 127.00 ## 228 S 128.50 ## 229 S 126.00 ## 230 S NA ## 231 C83 S 143.00 ## 232 S 137.00 ## 233 S 167.00 ## 234 S 113.00 ## 235 S 132.00 ## 236 S NA ## 237 S 152.00 ## 238 S 116.00 ## 239 S 127.00 ## 240 S 141.00 ## 241 C NA ## 242 Q NA ## 243 S 137.00 ## 244 S 130.00 ## 245 C 138.00 ## 246 C78 Q 152.00 ## 247 S 133.00 ## 248 S 132.00 ## 249 D35 S 145.00 ## 250 S 162.00 ## 251 S NA ## 252 G6 S 137.00 ## 253 C87 S 170.00 ## 254 S 138.00 ## 255 S 149.00 ## 256 C 137.00 ## 257 C NA ## 258 B77 S 138.00 ## 259 C 143.00 ## 260 S 158.00 ## 261 Q NA ## 262 S 111.00 ## 263 E67 S 160.00 ## 264 B94 S 148.00 ## 265 Q NA ## 266 S 144.00 ## 267 S 124.00 ## 268 S 133.00 ## 269 C125 S 166.00 ## 270 C99 S 143.00 ## 271 S NA ## 272 S 133.00 ## 273 S 149.00 ## 274 C118 C 145.00 ## 275 Q NA ## 276 D7 S 171.00 ## 277 S 153.00 ## 278 S NA ## 279 Q 115.00 ## 280 S 143.00 ## 281 Q 173.00 ## 282 S 136.00 ## 283 S 124.00 ## 284 S 127.00 ## 285 A19 S NA ## 286 C 141.00 ## 287 S 138.00 ## 288 S 130.00 ## 289 S 150.00 ## 290 Q 130.00 ## 291 S 134.00 ## 292 B49 C 127.00 ## 293 D C 144.00 ## 294 S 132.00 ## 295 S 132.00 ## 296 C NA ## 297 C 131.50 ## 298 C22 C26 S 110.00 ## 299 C106 S NA ## 300 B58 B60 C 158.00 ## 301 Q NA ## 302 Q NA ## 303 S 127.00 ## 304 E101 Q NA ## 305 S NA ## 306 C22 C26 S 108.92 ## 307 C NA ## 308 C65 C 125.00 ## 309 C 138.00 ## 310 E36 C 138.00 ## 311 C54 C 132.00 ## 312 B57 B59 B63 B66 C 126.00 ## 313 S 134.00 ## 314 S 136.00 ## 315 S 151.00 ## 316 S 134.00 ## 317 S 132.00 ## 318 S 162.00 ## 319 C7 S 139.00 ## 320 E34 C 148.00 ## 321 S 130.00 ## 322 S 135.00 ## 323 Q 138.00 ## 324 S 130.00 ## 325 S NA ## 326 C32 C 144.00 ## 327 S 169.00 ## 328 D S 144.00 ## 329 S 139.00 ## 330 B18 C 124.00 ## 331 Q NA ## 332 C124 S 153.50 ## 333 C91 S 146.00 ## 334 S 124.00 ## 335 S NA ## 336 S NA ## 337 C2 S 137.00 ## 338 E40 C 149.00 ## 339 S 153.00 ## 340 T S 153.00 ## 341 F2 S 110.00 ## 342 C23 C25 C27 S 132.00 ## 343 S 136.00 ## 344 S 133.00 ## 345 S 144.00 ## 346 F33 S 132.00 ## 347 S 148.00 ## 348 S NA ## 349 S 111.00 ## 350 S 150.00 ## 351 S 131.00 ## 352 C128 S NA ## 353 C 123.00 ## 354 S 133.00 ## 355 C NA ## 356 S 136.00 ## 357 E33 S 130.00 ## 358 S 146.00 ## 359 Q NA ## 360 Q NA ## 361 S 148.00 ## 362 C 137.00 ## 363 C 153.00 ## 364 S 143.00 ## 365 Q NA ## 366 S 138.00 ## 367 D37 C 168.00 ## 368 C NA ## 369 Q NA ## 370 B35 C 132.00 ## 371 E50 C 133.00 ## 372 S 126.00 ## 373 S 127.00 ## 374 C 130.00 ## 375 S 111.00 ## 376 C NA ## 377 S 130.00 ## 378 C82 C 135.00 ## 379 C 128.00 ## 380 S 127.00 ## 381 C 150.00 ## 382 C 109.00 ## 383 S 140.00 ## 384 S 143.00 ## 385 S NA ## 386 S 126.00 ## 387 S 109.00 ## 388 S 144.00 ## 389 Q NA ## 390 C 125.00 ## 391 B96 B98 S 144.00 ## 392 S 129.00 ## 393 S 136.00 ## 394 D36 C 131.00 ## 395 G6 S 132.00 ## 396 S 130.00 ## 397 S 139.00 ## 398 S 154.00 ## 399 S 131.00 ## 400 S 136.00 ## 401 S 147.00 ## 402 S 134.00 ## 403 S 129.00 ## 404 S 136.00 ## 405 S 128.00 ## 406 S 142.00 ## 407 S 159.00 ## 408 S 111.00 ## 409 S 129.00 ## 410 S NA ## 411 S NA ## 412 Q NA ## 413 C78 Q 141.00 ## 414 S NA ## 415 S 152.00 ## 416 S NA ## 417 S 142.00 ## 418 S 126.00 ## 419 S 138.00 ## 420 S 118.00 ## 421 C NA ## 422 Q 129.00 ## 423 S 137.00 ## 424 S 136.00 ## 425 S 126.00 ## 426 S NA ## 427 S 136.00 ## 428 S 127.00 ## 429 Q NA ## 430 E10 S 140.00 ## 431 C52 S 136.00 ## 432 S NA ## 433 S 150.00 ## 434 S 125.00 ## 435 E44 S 158.00 ## 436 B96 B98 S 122.00 ## 437 S 129.00 ## 438 S 132.00 ## 439 C23 C25 C27 S 172.00 ## 440 S 139.00 ## 441 S 153.00 ## 442 S 128.00 ## 443 S 133.00 ## 444 S 136.00 ## 445 S NA ## 446 A34 S 112.00 ## 447 S 121.00 ## 448 S 142.00 ## 449 C 113.00 ## 450 C104 S 160.00 ## 451 S 144.00 ## 452 S NA ## 453 C111 C 138.00 ## 454 C92 C 157.00 ## 455 S NA ## 456 C 137.00 ## 457 E38 S 173.00 ## 458 D21 S NA ## 459 S 158.00 ## 460 Q NA ## 461 E12 S 156.00 ## 462 S 142.00 ## 463 E63 S 155.00 ## 464 S 156.00 ## 465 S NA ## 466 S 146.00 ## 467 S NA ## 468 S 164.00 ## 469 Q NA ## 470 C 108.75 ## 471 S NA ## 472 S 146.00 ## 473 S 141.00 ## 474 D C 131.00 ## 475 S 130.00 ## 476 A14 S NA ## 477 S 142.00 ## 478 S 137.00 ## 479 S 130.00 ## 480 S 110.00 ## 481 S 117.00 ## 482 S NA ## 483 S 158.00 ## 484 S 171.00 ## 485 B49 C 133.00 ## 486 S NA ## 487 C93 S 143.00 ## 488 B37 C 166.00 ## 489 S 138.00 ## 490 S 117.00 ## 491 S NA ## 492 S 129.00 ## 493 C30 S 163.00 ## 494 C 179.00 ## 495 S 129.00 ## 496 C NA ## 497 D20 C 162.00 ## 498 S NA ## 499 C22 C26 S 133.00 ## 500 S 132.00 ## 501 S 125.00 ## 502 Q 129.00 ## 503 Q NA ## 504 S 145.00 ## 505 B79 S 124.00 ## 506 C65 C 126.00 ## 507 S 141.00 ## 508 S NA ## 509 S 136.00 ## 510 S 134.00 ## 511 Q 137.00 ## 512 S NA ## 513 E25 S 144.00 ## 514 C 162.00 ## 515 S 132.00 ## 516 D46 S 155.00 ## 517 F33 S 142.00 ## 518 Q NA ## 519 S 144.00 ## 520 S 140.00 ## 521 B73 S 138.00 ## 522 S 130.00 ## 523 C NA ## 524 B18 C 152.00 ## 525 C NA ## 526 Q 148.50 ## 527 S 158.00 ## 528 C95 S NA ## 529 S 147.00 ## 530 S 131.00 ## 531 S 110.00 ## 532 C NA ## 533 C 125.00 ## 534 C NA ## 535 S 138.00 ## 536 S 115.00 ## 537 B38 S 153.00 ## 538 C 138.00 ## 539 S NA ## 540 B39 C 130.00 ## 541 B22 S 144.00 ## 542 S 117.00 ## 543 S 119.00 ## 544 S 140.00 ## 545 C86 C 158.00 ## 546 S 172.00 ## 547 S 127.00 ## 548 C NA ## 549 S 141.00 ## 550 S 116.00 ## 551 C70 C 125.00 ## 552 S 135.00 ## 553 Q NA ## 554 C 130.00 ## 555 S 130.00 ## 556 S 170.00 ## 557 A16 C 156.00 ## 558 C NA ## 559 E67 S 147.00 ## 560 S 144.00 ## 561 Q NA ## 562 S 148.00 ## 563 S 136.00 ## 564 S NA ## 565 S NA ## 566 S 132.00 ## 567 S 127.00 ## 568 S 137.00 ## 569 C NA ## 570 S 140.00 ## 571 S 170.00 ## 572 C101 S 161.00 ## 573 E25 S 144.00 ## 574 Q NA ## 575 S 124.00 ## 576 S 127.00 ## 577 S 142.00 ## 578 E44 S 147.00 ## 579 C NA ## 580 S 140.00 ## 581 S 133.00 ## 582 C68 C 147.00 ## 583 S 162.00 ## 584 A10 C 144.00 ## 585 C NA ## 586 E68 S 126.00 ## 587 S 155.00 ## 588 B41 C 168.00 ## 589 S 130.00 ## 590 S NA ## 591 S 143.00 ## 592 D20 C 160.00 ## 593 S 155.00 ## 594 Q NA ## 595 S 145.00 ## 596 S 144.00 ## 597 S NA ## 598 S 157.00 ## 599 C NA ## 600 A20 C 157.00 ## 601 S 132.00 ## 602 S NA ## 603 S NA ## 604 S 152.00 ## 605 C 143.00 ## 606 S 144.00 ## 607 S 138.00 ## 608 S 135.00 ## 609 C 130.00 ## 610 C125 S 148.00 ## 611 S 147.00 ## 612 S NA ## 613 Q NA ## 614 Q NA ## 615 S 143.00 ## 616 S 132.00 ## 617 S 142.00 ## 618 S 134.00 ## 619 F4 S 112.00 ## 620 S 134.00 ## 621 C 135.00 ## 622 D19 S 150.00 ## 623 C 128.00 ## 624 S 129.00 ## 625 S 129.00 ## 626 D50 S 169.00 ## 627 Q 165.00 ## 628 D9 S 129.00 ## 629 S 134.00 ## 630 Q NA ## 631 A23 S 188.00 ## 632 S 159.00 ## 633 B50 C 140.00 ## 634 S NA ## 635 S 117.00 ## 636 S 136.00 ## 637 S 140.00 ## 638 S 139.00 ## 639 S 149.00 ## 640 S NA ## 641 S 128.00 ## 642 B35 C 132.00 ## 643 S 110.00 ## 644 S NA ## 645 C 108.75 ## 646 D33 C 156.00 ## 647 S 127.00 ## 648 A26 C 164.00 ## 649 S NA ## 650 S 131.00 ## 651 S NA ## 652 S 126.00 ## 653 S 129.00 ## 654 Q NA ## 655 Q 126.00 ## 656 S 132.00 ## 657 S NA ## 658 Q 140.00 ## 659 S 131.00 ## 660 D48 C 166.00 ## 661 S 158.00 ## 662 C 148.00 ## 663 E58 S 155.00 ## 664 S 144.00 ## 665 S 128.00 ## 666 S 140.00 ## 667 S 133.00 ## 668 S NA ## 669 S 151.00 ## 670 C126 S NA ## 671 S 148.00 ## 672 B71 S 139.00 ## 673 S 178.00 ## 674 S 139.00 ## 675 S NA ## 676 S 126.00 ## 677 S 132.50 ## 678 S 126.00 ## 679 S 151.00 ## 680 B51 B53 B55 C 144.00 ## 681 Q NA ## 682 D49 C 135.00 ## 683 S 128.00 ## 684 S 122.00 ## 685 S 168.00 ## 686 C 133.00 ## 687 S 122.00 ## 688 S 127.00 ## 689 S 126.00 ## 690 B5 S 123.00 ## 691 B20 S 139.00 ## 692 C 112.00 ## 693 S NA ## 694 C 133.00 ## 695 S 168.00 ## 696 S 160.00 ## 697 S 152.00 ## 698 Q NA ## 699 C68 C 157.00 ## 700 F G63 S 150.00 ## 701 C62 C64 C 126.00 ## 702 E24 S 143.00 ## 703 C 126.00 ## 704 Q 133.00 ## 705 S 134.00 ## 706 S 147.00 ## 707 S 153.00 ## 708 E24 S 150.00 ## 709 S 130.00 ## 710 C NA ## 711 C90 C 132.00 ## 712 C124 S NA ## 713 C126 S 156.00 ## 714 S 137.00 ## 715 S 160.00 ## 716 F G73 S 127.00 ## 717 C45 C 146.00 ## 718 E101 S 135.00 ## 719 Q NA ## 720 S 141.00 ## 721 S 114.00 ## 722 S 125.00 ## 723 S 142.00 ## 724 S 158.00 ## 725 E8 S 135.00 ## 726 S 128.00 ## 727 S 138.00 ## 728 Q NA ## 729 S 133.00 ## 730 S 133.00 ## 731 B5 S 137.00 ## 732 C 119.00 ## 733 S NA ## 734 S 131.00 ## 735 S 131.00 ## 736 S 136.50 ## 737 S 156.00 ## 738 B101 C 143.00 ## 739 S NA ## 740 S NA ## 741 D45 S NA ## 742 C46 S 144.00 ## 743 B57 B59 B63 B66 C 129.00 ## 744 S 132.00 ## 745 S 139.00 ## 746 B22 S 178.00 ## 747 S 124.00 ## 748 S 138.00 ## 749 D30 S 127.00 ## 750 Q 139.00 ## 751 S 112.00 ## 752 E121 S 114.00 ## 753 S 141.00 ## 754 S 131.00 ## 755 S 156.00 ## 756 S 108.67 ## 757 S 136.00 ## 758 S 126.00 ## 759 S 142.00 ## 760 B77 S 141.00 ## 761 S NA ## 762 S 149.00 ## 763 C 128.00 ## 764 B96 B98 S 144.00 ## 765 S 124.00 ## 766 D11 S 159.00 ## 767 C NA ## 768 Q 138.50 ## 769 Q NA ## 770 S 140.00 ## 771 S 132.00 ## 772 S 156.00 ## 773 E77 S 165.00 ## 774 C NA ## 775 S 162.00 ## 776 S 126.00 ## 777 F38 Q NA ## 778 S 113.00 ## 779 Q NA ## 780 B3 S 151.00 ## 781 C 121.00 ## 782 B20 S 125.00 ## 783 D6 S 137.00 ## 784 S NA ## 785 S 133.00 ## 786 S 133.00 ## 787 S 126.00 ## 788 Q 116.00 ## 789 S 109.00 ## 790 B82 B84 C 154.00 ## 791 Q NA ## 792 S 124.00 ## 793 S NA ## 794 C NA ## 795 S 133.00 ## 796 S 147.00 ## 797 D17 S 157.00 ## 798 S 139.00 ## 799 C 138.00 ## 800 S 138.00 ## 801 S 142.00 ## 802 S 139.00 ## 803 B96 B98 S 119.00 ## 804 C 108.42 ## 805 S 135.00 ## 806 S 139.00 ## 807 A36 S 147.00 ## 808 S 126.00 ## 809 S 147.00 ## 810 E8 S 141.00 ## 811 S 134.00 ## 812 S 147.00 ## 813 S 143.00 ## 814 S 114.00 ## 815 S 138.50 ## 816 B102 S NA ## 817 S 131.00 ## 818 C 139.00 ## 819 S 151.00 ## 820 S 118.00 ## 821 B69 S 160.00 ## 822 S 135.00 ## 823 S 146.00 ## 824 E121 S 135.00 ## 825 S 110.00 ## 826 Q NA ## 827 S NA ## 828 C 109.00 ## 829 Q NA ## 830 B28 170.00 ## 831 C 123.00 ## 832 S 108.83 ## 833 C NA ## 834 S 131.00 ## 835 S 126.00 ## 836 E49 C 147.00 ## 837 S 129.00 ## 838 S NA ## 839 S 140.00 ## 840 C47 C NA ## 841 S 128.00 ## 842 S 124.00 ## 843 C 138.00 ## 844 C 142.50 ## 845 S 125.00 ## 846 S 150.00 ## 847 S NA ## 848 C 143.00 ## 849 S 136.00 ## 850 C92 C NA ## 851 S 112.00 ## 852 S 182.00 ## 853 C 117.00 ## 854 D28 S 124.00 ## 855 S 152.00 ## 856 S 126.00 ## 857 S 153.00 ## 858 E17 S 159.00 ## 859 C 132.00 ## 860 C NA ## 861 S 149.00 ## 862 S 129.00 ## 863 D17 S 156.00 ## 864 S NA ## 865 S 132.00 ## 866 S 150.00 ## 867 C 135.00 ## 868 A24 S 139.00 ## 869 S NA ## 870 S 112.00 ## 871 S 134.00 ## 872 D35 S 155.00 ## 873 B51 B53 B55 S 141.00 ## 874 S 155.00 ## 875 C 136.00 ## 876 C 123.00 ## 877 S 128.00 ## 878 S 127.00 ## 879 S NA ## 880 C50 C 164.00 ## 881 S 133.00 ## 882 S 141.00 ## 883 S 130.00 ## 884 S 136.00 ## 885 S 133.00 ## 886 Q 147.00 ## 887 S 135.00 ## 888 B42 S 127.00 ## 889 S NA ## 890 C148 C 134.00 ## 891 Q 140.00 ``` --- ## More select functions `starts_with()` `ends_with()` `contains()` `matches()` These functions go inside the `select()` function. There are more of these. ```r titanic %>% select(starts_with("S")) ``` ``` ## Survived Sex SibSp ## 1 FALSE male 1 ## 2 TRUE female 1 ## 3 TRUE female 0 ## 4 TRUE female 1 ## 5 FALSE male 0 ## 6 FALSE male 0 ## 7 FALSE male 0 ## 8 FALSE male 3 ## 9 TRUE female 0 ## 10 TRUE female 1 ## 11 TRUE female 1 ## 12 TRUE female 0 ## 13 FALSE male 0 ## 14 FALSE male 1 ## 15 FALSE female 0 ## 16 TRUE female 0 ## 17 FALSE male 4 ## 18 TRUE male 0 ## 19 FALSE female 1 ## 20 TRUE female 0 ## 21 FALSE male 0 ## 22 TRUE male 0 ## 23 TRUE female 0 ## 24 TRUE male 0 ## 25 FALSE female 3 ## 26 TRUE female 1 ## 27 FALSE male 0 ## 28 FALSE male 3 ## 29 TRUE female 0 ## 30 FALSE male 0 ## 31 FALSE male 0 ## 32 TRUE female 1 ## 33 TRUE female 0 ## 34 FALSE male 0 ## 35 FALSE male 1 ## 36 FALSE male 1 ## 37 TRUE male 0 ## 38 FALSE male 0 ## 39 FALSE female 2 ## 40 TRUE female 1 ## 41 FALSE female 1 ## 42 FALSE female 1 ## 43 FALSE male 0 ## 44 TRUE female 1 ## 45 TRUE female 0 ## 46 FALSE male 0 ## 47 FALSE male 1 ## 48 TRUE female 0 ## 49 FALSE male 2 ## 50 FALSE female 1 ## 51 FALSE male 4 ## 52 FALSE male 0 ## 53 TRUE female 1 ## 54 TRUE female 1 ## 55 FALSE male 0 ## 56 TRUE male 0 ## 57 TRUE female 0 ## 58 FALSE male 0 ## 59 TRUE female 1 ## 60 FALSE male 5 ## 61 FALSE male 0 ## 62 TRUE female 0 ## 63 FALSE male 1 ## 64 FALSE male 3 ## 65 FALSE male 0 ## 66 TRUE male 1 ## 67 TRUE female 0 ## 68 FALSE male 0 ## 69 TRUE female 4 ## 70 FALSE male 2 ## 71 FALSE male 0 ## 72 FALSE female 5 ## 73 FALSE male 0 ## 74 FALSE male 1 ## 75 TRUE male 0 ## 76 FALSE male 0 ## 77 FALSE male 0 ## 78 FALSE male 0 ## 79 TRUE male 0 ## 80 TRUE female 0 ## 81 FALSE male 0 ## 82 TRUE male 0 ## 83 TRUE female 0 ## 84 FALSE male 0 ## 85 TRUE female 0 ## 86 TRUE female 3 ## 87 FALSE male 1 ## 88 FALSE male 0 ## 89 TRUE female 3 ## 90 FALSE male 0 ## 91 FALSE male 0 ## 92 FALSE male 0 ## 93 FALSE male 1 ## 94 FALSE male 1 ## 95 FALSE male 0 ## 96 FALSE male 0 ## 97 FALSE male 0 ## 98 TRUE male 0 ## 99 TRUE female 0 ## 100 FALSE male 1 ## 101 FALSE female 0 ## 102 FALSE male 0 ## 103 FALSE male 0 ## 104 FALSE male 0 ## 105 FALSE male 2 ## 106 FALSE male 0 ## 107 TRUE female 0 ## 108 TRUE male 0 ## 109 FALSE male 0 ## 110 TRUE female 1 ## 111 FALSE male 0 ## 112 FALSE female 1 ## 113 FALSE male 0 ## 114 FALSE female 1 ## 115 FALSE female 0 ## 116 FALSE male 0 ## 117 FALSE male 0 ## 118 FALSE male 1 ## 119 FALSE male 0 ## 120 FALSE female 4 ## 121 FALSE male 2 ## 122 FALSE male 0 ## 123 FALSE male 1 ## 124 TRUE female 0 ## 125 FALSE male 0 ## 126 TRUE male 1 ## 127 FALSE male 0 ## 128 TRUE male 0 ## 129 TRUE female 1 ## 130 FALSE male 0 ## 131 FALSE male 0 ## 132 FALSE male 0 ## 133 FALSE female 1 ## 134 TRUE female 1 ## 135 FALSE male 0 ## 136 FALSE male 0 ## 137 TRUE female 0 ## 138 FALSE male 1 ## 139 FALSE male 0 ## 140 FALSE male 0 ## 141 FALSE female 0 ## 142 TRUE female 0 ## 143 TRUE female 1 ## 144 FALSE male 0 ## 145 FALSE male 0 ## 146 FALSE male 1 ## 147 TRUE male 0 ## 148 FALSE female 2 ## 149 FALSE male 0 ## 150 FALSE male 0 ## 151 FALSE male 0 ## 152 TRUE female 1 ## 153 FALSE male 0 ## 154 FALSE male 0 ## 155 FALSE male 0 ## 156 FALSE male 0 ## 157 TRUE female 0 ## 158 FALSE male 0 ## 159 FALSE male 0 ## 160 FALSE male 8 ## 161 FALSE male 0 ## 162 TRUE female 0 ## 163 FALSE male 0 ## 164 FALSE male 0 ## 165 FALSE male 4 ## 166 TRUE male 0 ## 167 TRUE female 0 ## 168 FALSE female 1 ## 169 FALSE male 0 ## 170 FALSE male 0 ## 171 FALSE male 0 ## 172 FALSE male 4 ## 173 TRUE female 1 ## 174 FALSE male 0 ## 175 FALSE male 0 ## 176 FALSE male 1 ## 177 FALSE male 3 ## 178 FALSE female 0 ## 179 FALSE male 0 ## 180 FALSE male 0 ## 181 FALSE female 8 ## 182 FALSE male 0 ## 183 FALSE male 4 ## 184 TRUE male 2 ## 185 TRUE female 0 ## 186 FALSE male 0 ## 187 TRUE female 1 ## 188 TRUE male 0 ## 189 FALSE male 1 ## 190 FALSE male 0 ## 191 TRUE female 0 ## 192 FALSE male 0 ## 193 TRUE female 1 ## 194 TRUE male 1 ## 195 TRUE female 0 ## 196 TRUE female 0 ## 197 FALSE male 0 ## 198 FALSE male 0 ## 199 TRUE female 0 ## 200 FALSE female 0 ## 201 FALSE male 0 ## 202 FALSE male 8 ## 203 FALSE male 0 ## 204 FALSE male 0 ## 205 TRUE male 0 ## 206 FALSE female 0 ## 207 FALSE male 1 ## 208 TRUE male 0 ## 209 TRUE female 0 ## 210 TRUE male 0 ## 211 FALSE male 0 ## 212 TRUE female 0 ## 213 FALSE male 0 ## 214 FALSE male 0 ## 215 FALSE male 1 ## 216 TRUE female 1 ## 217 TRUE female 0 ## 218 FALSE male 1 ## 219 TRUE female 0 ## 220 FALSE male 0 ## 221 TRUE male 0 ## 222 FALSE male 0 ## 223 FALSE male 0 ## 224 FALSE male 0 ## 225 TRUE male 1 ## 226 FALSE male 0 ## 227 TRUE male 0 ## 228 FALSE male 0 ## 229 FALSE male 0 ## 230 FALSE female 3 ## 231 TRUE female 1 ## 232 FALSE male 0 ## 233 FALSE male 0 ## 234 TRUE female 4 ## 235 FALSE male 0 ## 236 FALSE female 0 ## 237 FALSE male 1 ## 238 TRUE female 0 ## 239 FALSE male 0 ## 240 FALSE male 0 ## 241 FALSE female 1 ## 242 TRUE female 1 ## 243 FALSE male 0 ## 244 FALSE male 0 ## 245 FALSE male 0 ## 246 FALSE male 2 ## 247 FALSE female 0 ## 248 TRUE female 0 ## 249 TRUE male 1 ## 250 FALSE male 1 ## 251 FALSE male 0 ## 252 FALSE female 1 ## 253 FALSE male 0 ## 254 FALSE male 1 ## 255 FALSE female 0 ## 256 TRUE female 0 ## 257 TRUE female 0 ## 258 TRUE female 0 ## 259 TRUE female 0 ## 260 TRUE female 0 ## 261 FALSE male 0 ## 262 TRUE male 4 ## 263 FALSE male 1 ## 264 FALSE male 0 ## 265 FALSE female 0 ## 266 FALSE male 0 ## 267 FALSE male 4 ## 268 TRUE male 1 ## 269 TRUE female 0 ## 270 TRUE female 0 ## 271 FALSE male 0 ## 272 TRUE male 0 ## 273 TRUE female 0 ## 274 FALSE male 0 ## 275 TRUE female 0 ## 276 TRUE female 1 ## 277 FALSE female 0 ## 278 FALSE male 0 ## 279 FALSE male 4 ## 280 TRUE female 1 ## 281 FALSE male 0 ## 282 FALSE male 0 ## 283 FALSE male 0 ## 284 TRUE male 0 ## 285 FALSE male 0 ## 286 FALSE male 0 ## 287 TRUE male 0 ## 288 FALSE male 0 ## 289 TRUE male 0 ## 290 TRUE female 0 ## 291 TRUE female 0 ## 292 TRUE female 1 ## 293 FALSE male 0 ## 294 FALSE female 0 ## 295 FALSE male 0 ## 296 FALSE male 0 ## 297 FALSE male 0 ## 298 FALSE female 1 ## 299 TRUE male 0 ## 300 TRUE female 0 ## 301 TRUE female 0 ## 302 TRUE male 2 ## 303 FALSE male 0 ## 304 TRUE female 0 ## 305 FALSE male 0 ## 306 TRUE male 1 ## 307 TRUE female 0 ## 308 TRUE female 1 ## 309 FALSE male 1 ## 310 TRUE female 0 ## 311 TRUE female 0 ## 312 TRUE female 2 ## 313 FALSE female 1 ## 314 FALSE male 0 ## 315 FALSE male 1 ## 316 TRUE female 0 ## 317 TRUE female 1 ## 318 FALSE male 0 ## 319 TRUE female 0 ## 320 TRUE female 1 ## 321 FALSE male 0 ## 322 FALSE male 0 ## 323 TRUE female 0 ## 324 TRUE female 1 ## 325 FALSE male 8 ## 326 TRUE female 0 ## 327 FALSE male 0 ## 328 TRUE female 0 ## 329 TRUE female 1 ## 330 TRUE female 0 ## 331 TRUE female 2 ## 332 FALSE male 0 ## 333 FALSE male 0 ## 334 FALSE male 2 ## 335 TRUE female 1 ## 336 FALSE male 0 ## 337 FALSE male 1 ## 338 TRUE female 0 ## 339 TRUE male 0 ## 340 FALSE male 0 ## 341 TRUE male 1 ## 342 TRUE female 3 ## 343 FALSE male 0 ## 344 FALSE male 0 ## 345 FALSE male 0 ## 346 TRUE female 0 ## 347 TRUE female 0 ## 348 TRUE female 1 ## 349 TRUE male 1 ## 350 FALSE male 0 ## 351 FALSE male 0 ## 352 FALSE male 0 ## 353 FALSE male 1 ## 354 FALSE male 1 ## 355 FALSE male 0 ## 356 FALSE male 0 ## 357 TRUE female 0 ## 358 FALSE female 0 ## 359 TRUE female 0 ## 360 TRUE female 0 ## 361 FALSE male 1 ## 362 FALSE male 1 ## 363 FALSE female 0 ## 364 FALSE male 0 ## 365 FALSE male 1 ## 366 FALSE male 0 ## 367 TRUE female 1 ## 368 TRUE female 0 ## 369 TRUE female 0 ## 370 TRUE female 0 ## 371 TRUE male 1 ## 372 FALSE male 1 ## 373 FALSE male 0 ## 374 FALSE male 0 ## 375 FALSE female 3 ## 376 TRUE female 1 ## 377 TRUE female 0 ## 378 FALSE male 0 ## 379 FALSE male 0 ## 380 FALSE male 0 ## 381 TRUE female 0 ## 382 TRUE female 0 ## 383 FALSE male 0 ## 384 TRUE female 1 ## 385 FALSE male 0 ## 386 FALSE male 0 ## 387 FALSE male 5 ## 388 TRUE female 0 ## 389 FALSE male 0 ## 390 TRUE female 0 ## 391 TRUE male 1 ## 392 TRUE male 0 ## 393 FALSE male 2 ## 394 TRUE female 1 ## 395 TRUE female 0 ## 396 FALSE male 0 ## 397 FALSE female 0 ## 398 FALSE male 0 ## 399 FALSE male 0 ## 400 TRUE female 0 ## 401 TRUE male 0 ## 402 FALSE male 0 ## 403 FALSE female 1 ## 404 FALSE male 1 ## 405 FALSE female 0 ## 406 FALSE male 1 ## 407 FALSE male 0 ## 408 TRUE male 1 ## 409 FALSE male 0 ## 410 FALSE female 3 ## 411 FALSE male 0 ## 412 FALSE male 0 ## 413 TRUE female 1 ## 414 FALSE male 0 ## 415 TRUE male 0 ## 416 FALSE female 0 ## 417 TRUE female 1 ## 418 TRUE female 0 ## 419 FALSE male 0 ## 420 FALSE female 0 ## 421 FALSE male 0 ## 422 FALSE male 0 ## 423 FALSE male 0 ## 424 FALSE female 1 ## 425 FALSE male 1 ## 426 FALSE male 0 ## 427 TRUE female 1 ## 428 TRUE female 0 ## 429 FALSE male 0 ## 430 TRUE male 0 ## 431 TRUE male 0 ## 432 TRUE female 1 ## 433 TRUE female 1 ## 434 FALSE male 0 ## 435 FALSE male 1 ## 436 TRUE female 1 ## 437 FALSE female 2 ## 438 TRUE female 2 ## 439 FALSE male 1 ## 440 FALSE male 0 ## 441 TRUE female 1 ## 442 FALSE male 0 ## 443 FALSE male 1 ## 444 TRUE female 0 ## 445 TRUE male 0 ## 446 TRUE male 0 ## 447 TRUE female 0 ## 448 TRUE male 0 ## 449 TRUE female 2 ## 450 TRUE male 0 ## 451 FALSE male 1 ## 452 FALSE male 1 ## 453 FALSE male 0 ## 454 TRUE male 1 ## 455 FALSE male 0 ## 456 TRUE male 0 ## 457 FALSE male 0 ## 458 TRUE female 1 ## 459 TRUE female 0 ## 460 FALSE male 0 ## 461 TRUE male 0 ## 462 FALSE male 0 ## 463 FALSE male 0 ## 464 FALSE male 0 ## 465 FALSE male 0 ## 466 FALSE male 0 ## 467 FALSE male 0 ## 468 FALSE male 0 ## 469 FALSE male 0 ## 470 TRUE female 2 ## 471 FALSE male 0 ## 472 FALSE male 0 ## 473 TRUE female 1 ## 474 TRUE female 0 ## 475 FALSE female 0 ## 476 FALSE male 0 ## 477 FALSE male 1 ## 478 FALSE male 1 ## 479 FALSE male 0 ## 480 TRUE female 0 ## 481 FALSE male 5 ## 482 FALSE male 0 ## 483 FALSE male 0 ## 484 TRUE female 0 ## 485 TRUE male 1 ## 486 FALSE female 3 ## 487 TRUE female 1 ## 488 FALSE male 0 ## 489 FALSE male 0 ## 490 TRUE male 1 ## 491 FALSE male 1 ## 492 FALSE male 0 ## 493 FALSE male 0 ## 494 FALSE male 0 ## 495 FALSE male 0 ## 496 FALSE male 0 ## 497 TRUE female 1 ## 498 FALSE male 0 ## 499 FALSE female 1 ## 500 FALSE male 0 ## 501 FALSE male 0 ## 502 FALSE female 0 ## 503 FALSE female 0 ## 504 FALSE female 0 ## 505 TRUE female 0 ## 506 FALSE male 1 ## 507 TRUE female 0 ## 508 TRUE male 0 ## 509 FALSE male 0 ## 510 TRUE male 0 ## 511 TRUE male 0 ## 512 FALSE male 0 ## 513 TRUE male 0 ## 514 TRUE female 1 ## 515 FALSE male 0 ## 516 FALSE male 0 ## 517 TRUE female 0 ## 518 FALSE male 0 ## 519 TRUE female 1 ## 520 FALSE male 0 ## 521 TRUE female 0 ## 522 FALSE male 0 ## 523 FALSE male 0 ## 524 TRUE female 0 ## 525 FALSE male 0 ## 526 FALSE male 0 ## 527 TRUE female 0 ## 528 FALSE male 0 ## 529 FALSE male 0 ## 530 FALSE male 2 ## 531 TRUE female 1 ## 532 FALSE male 0 ## 533 FALSE male 1 ## 534 TRUE female 0 ## 535 FALSE female 0 ## 536 TRUE female 0 ## 537 FALSE male 0 ## 538 TRUE female 0 ## 539 FALSE male 0 ## 540 TRUE female 0 ## 541 TRUE female 0 ## 542 FALSE female 4 ## 543 FALSE female 4 ## 544 TRUE male 1 ## 545 FALSE male 1 ## 546 FALSE male 0 ## 547 TRUE female 1 ## 548 TRUE male 0 ## 549 FALSE male 1 ## 550 TRUE male 1 ## 551 TRUE male 0 ## 552 FALSE male 0 ## 553 FALSE male 0 ## 554 TRUE male 0 ## 555 TRUE female 0 ## 556 FALSE male 0 ## 557 TRUE female 1 ## 558 FALSE male 0 ## 559 TRUE female 1 ## 560 TRUE female 1 ## 561 FALSE male 0 ## 562 FALSE male 0 ## 563 FALSE male 0 ## 564 FALSE male 0 ## 565 FALSE female 0 ## 566 FALSE male 2 ## 567 FALSE male 0 ## 568 FALSE female 0 ## 569 FALSE male 0 ## 570 TRUE male 0 ## 571 TRUE male 0 ## 572 TRUE female 2 ## 573 TRUE male 0 ## 574 TRUE female 0 ## 575 FALSE male 0 ## 576 FALSE male 0 ## 577 TRUE female 0 ## 578 TRUE female 1 ## 579 FALSE female 1 ## 580 TRUE male 0 ## 581 TRUE female 1 ## 582 TRUE female 1 ## 583 FALSE male 0 ## 584 FALSE male 0 ## 585 FALSE male 0 ## 586 TRUE female 0 ## 587 FALSE male 0 ## 588 TRUE male 1 ## 589 FALSE male 0 ## 590 FALSE male 0 ## 591 FALSE male 0 ## 592 TRUE female 1 ## 593 FALSE male 0 ## 594 FALSE female 0 ## 595 FALSE male 1 ## 596 FALSE male 1 ## 597 TRUE female 0 ## 598 FALSE male 0 ## 599 FALSE male 0 ## 600 TRUE male 1 ## 601 TRUE female 2 ## 602 FALSE male 0 ## 603 FALSE male 0 ## 604 FALSE male 0 ## 605 TRUE male 0 ## 606 FALSE male 1 ## 607 FALSE male 0 ## 608 TRUE male 0 ## 609 TRUE female 1 ## 610 TRUE female 0 ## 611 FALSE female 1 ## 612 FALSE male 0 ## 613 TRUE female 1 ## 614 FALSE male 0 ## 615 FALSE male 0 ## 616 TRUE female 1 ## 617 FALSE male 1 ## 618 FALSE female 1 ## 619 TRUE female 2 ## 620 FALSE male 0 ## 621 FALSE male 1 ## 622 TRUE male 1 ## 623 TRUE male 1 ## 624 FALSE male 0 ## 625 FALSE male 0 ## 626 FALSE male 0 ## 627 FALSE male 0 ## 628 TRUE female 0 ## 629 FALSE male 0 ## 630 FALSE male 0 ## 631 TRUE male 0 ## 632 FALSE male 0 ## 633 TRUE male 0 ## 634 FALSE male 0 ## 635 FALSE female 3 ## 636 TRUE female 0 ## 637 FALSE male 0 ## 638 FALSE male 1 ## 639 FALSE female 0 ## 640 FALSE male 1 ## 641 FALSE male 0 ## 642 TRUE female 0 ## 643 FALSE female 3 ## 644 TRUE male 0 ## 645 TRUE female 2 ## 646 TRUE male 1 ## 647 FALSE male 0 ## 648 TRUE male 0 ## 649 FALSE male 0 ## 650 TRUE female 0 ## 651 FALSE male 0 ## 652 TRUE female 0 ## 653 FALSE male 0 ## 654 TRUE female 0 ## 655 FALSE female 0 ## 656 FALSE male 2 ## 657 FALSE male 0 ## 658 FALSE female 1 ## 659 FALSE male 0 ## 660 FALSE male 0 ## 661 TRUE male 2 ## 662 FALSE male 0 ## 663 FALSE male 0 ## 664 FALSE male 0 ## 665 TRUE male 1 ## 666 FALSE male 2 ## 667 FALSE male 0 ## 668 FALSE male 0 ## 669 FALSE male 0 ## 670 TRUE female 1 ## 671 TRUE female 1 ## 672 FALSE male 1 ## 673 FALSE male 0 ## 674 TRUE male 0 ## 675 FALSE male 0 ## 676 FALSE male 0 ## 677 FALSE male 0 ## 678 TRUE female 0 ## 679 FALSE female 1 ## 680 TRUE male 0 ## 681 FALSE female 0 ## 682 TRUE male 0 ## 683 FALSE male 0 ## 684 FALSE male 5 ## 685 FALSE male 1 ## 686 FALSE male 1 ## 687 FALSE male 4 ## 688 FALSE male 0 ## 689 FALSE male 0 ## 690 TRUE female 0 ## 691 TRUE male 1 ## 692 TRUE female 0 ## 693 TRUE male 0 ## 694 FALSE male 0 ## 695 FALSE male 0 ## 696 FALSE male 0 ## 697 FALSE male 0 ## 698 TRUE female 0 ## 699 FALSE male 1 ## 700 FALSE male 0 ## 701 TRUE female 1 ## 702 TRUE male 0 ## 703 FALSE female 0 ## 704 FALSE male 0 ## 705 FALSE male 1 ## 706 FALSE male 0 ## 707 TRUE female 0 ## 708 TRUE male 0 ## 709 TRUE female 0 ## 710 TRUE male 1 ## 711 TRUE female 0 ## 712 FALSE male 0 ## 713 TRUE male 1 ## 714 FALSE male 0 ## 715 FALSE male 0 ## 716 FALSE male 0 ## 717 TRUE female 0 ## 718 TRUE female 0 ## 719 FALSE male 0 ## 720 FALSE male 0 ## 721 TRUE female 0 ## 722 FALSE male 1 ## 723 FALSE male 0 ## 724 FALSE male 0 ## 725 TRUE male 1 ## 726 FALSE male 0 ## 727 TRUE female 3 ## 728 TRUE female 0 ## 729 FALSE male 1 ## 730 FALSE female 1 ## 731 TRUE female 0 ## 732 FALSE male 0 ## 733 FALSE male 0 ## 734 FALSE male 0 ## 735 FALSE male 0 ## 736 FALSE male 0 ## 737 FALSE female 1 ## 738 TRUE male 0 ## 739 FALSE male 0 ## 740 FALSE male 0 ## 741 TRUE male 0 ## 742 FALSE male 1 ## 743 TRUE female 2 ## 744 FALSE male 1 ## 745 TRUE male 0 ## 746 FALSE male 1 ## 747 FALSE male 1 ## 748 TRUE female 0 ## 749 FALSE male 1 ## 750 FALSE male 0 ## 751 TRUE female 1 ## 752 TRUE male 0 ## 753 FALSE male 0 ## 754 FALSE male 0 ## 755 TRUE female 1 ## 756 TRUE male 1 ## 757 FALSE male 0 ## 758 FALSE male 0 ## 759 FALSE male 0 ## 760 TRUE female 0 ## 761 FALSE male 0 ## 762 FALSE male 0 ## 763 TRUE male 0 ## 764 TRUE female 1 ## 765 FALSE male 0 ## 766 TRUE female 1 ## 767 FALSE male 0 ## 768 FALSE female 0 ## 769 FALSE male 1 ## 770 FALSE male 0 ## 771 FALSE male 0 ## 772 FALSE male 0 ## 773 FALSE female 0 ## 774 FALSE male 0 ## 775 TRUE female 1 ## 776 FALSE male 0 ## 777 FALSE male 0 ## 778 TRUE female 0 ## 779 FALSE male 0 ## 780 TRUE female 0 ## 781 TRUE female 0 ## 782 TRUE female 1 ## 783 FALSE male 0 ## 784 FALSE male 1 ## 785 FALSE male 0 ## 786 FALSE male 0 ## 787 TRUE female 0 ## 788 FALSE male 4 ## 789 TRUE male 1 ## 790 FALSE male 0 ## 791 FALSE male 0 ## 792 FALSE male 0 ## 793 FALSE female 8 ## 794 FALSE male 0 ## 795 FALSE male 0 ## 796 FALSE male 0 ## 797 TRUE female 0 ## 798 TRUE female 0 ## 799 FALSE male 0 ## 800 FALSE female 1 ## 801 FALSE male 0 ## 802 TRUE female 1 ## 803 TRUE male 1 ## 804 TRUE male 0 ## 805 TRUE male 0 ## 806 FALSE male 0 ## 807 FALSE male 0 ## 808 FALSE female 0 ## 809 FALSE male 0 ## 810 TRUE female 1 ## 811 FALSE male 0 ## 812 FALSE male 0 ## 813 FALSE male 0 ## 814 FALSE female 4 ## 815 FALSE male 0 ## 816 FALSE male 0 ## 817 FALSE female 0 ## 818 FALSE male 1 ## 819 FALSE male 0 ## 820 FALSE male 3 ## 821 TRUE female 1 ## 822 TRUE male 0 ## 823 FALSE male 0 ## 824 TRUE female 0 ## 825 FALSE male 4 ## 826 FALSE male 0 ## 827 FALSE male 0 ## 828 TRUE male 0 ## 829 TRUE male 0 ## 830 TRUE female 0 ## 831 TRUE female 1 ## 832 TRUE male 1 ## 833 FALSE male 0 ## 834 FALSE male 0 ## 835 FALSE male 0 ## 836 TRUE female 1 ## 837 FALSE male 0 ## 838 FALSE male 0 ## 839 TRUE male 0 ## 840 TRUE male 0 ## 841 FALSE male 0 ## 842 FALSE male 0 ## 843 TRUE female 0 ## 844 FALSE male 0 ## 845 FALSE male 0 ## 846 FALSE male 0 ## 847 FALSE male 8 ## 848 FALSE male 0 ## 849 FALSE male 0 ## 850 TRUE female 1 ## 851 FALSE male 4 ## 852 FALSE male 0 ## 853 FALSE female 1 ## 854 TRUE female 0 ## 855 FALSE female 1 ## 856 TRUE female 0 ## 857 TRUE female 1 ## 858 TRUE male 0 ## 859 TRUE female 0 ## 860 FALSE male 0 ## 861 FALSE male 2 ## 862 FALSE male 1 ## 863 TRUE female 0 ## 864 FALSE female 8 ## 865 FALSE male 0 ## 866 TRUE female 0 ## 867 TRUE female 1 ## 868 FALSE male 0 ## 869 FALSE male 0 ## 870 TRUE male 1 ## 871 FALSE male 0 ## 872 TRUE female 1 ## 873 FALSE male 0 ## 874 FALSE male 0 ## 875 TRUE female 1 ## 876 TRUE female 0 ## 877 FALSE male 0 ## 878 FALSE male 0 ## 879 FALSE male 0 ## 880 TRUE female 0 ## 881 TRUE female 0 ## 882 FALSE male 0 ## 883 FALSE female 0 ## 884 FALSE male 0 ## 885 FALSE male 0 ## 886 FALSE female 0 ## 887 FALSE male 0 ## 888 TRUE female 0 ## 889 FALSE female 1 ## 890 TRUE male 0 ## 891 FALSE male 0 ``` --- ## filter `filter()` helps us subset data frame based on some condition on the rows. For instance we may want to deduce the data frame to only passengers in the third Pclass. ```r titanic %>% filter(Pclass == "3") ``` ``` ## PassengerId Survived Pclass ## 1 1 FALSE 3 ## 2 3 TRUE 3 ## 3 5 FALSE 3 ## 4 6 FALSE 3 ## 5 8 FALSE 3 ## 6 9 TRUE 3 ## 7 11 TRUE 3 ## 8 13 FALSE 3 ## 9 14 FALSE 3 ## 10 15 FALSE 3 ## 11 17 FALSE 3 ## 12 19 FALSE 3 ## 13 20 TRUE 3 ## 14 23 TRUE 3 ## 15 25 FALSE 3 ## 16 26 TRUE 3 ## 17 27 FALSE 3 ## 18 29 TRUE 3 ## 19 30 FALSE 3 ## 20 33 TRUE 3 ## 21 37 TRUE 3 ## 22 38 FALSE 3 ## 23 39 FALSE 3 ## 24 40 TRUE 3 ## 25 41 FALSE 3 ## 26 43 FALSE 3 ## 27 45 TRUE 3 ## 28 46 FALSE 3 ## 29 47 FALSE 3 ## 30 48 TRUE 3 ## 31 49 FALSE 3 ## 32 50 FALSE 3 ## 33 51 FALSE 3 ## 34 52 FALSE 3 ## 35 58 FALSE 3 ## 36 60 FALSE 3 ## 37 61 FALSE 3 ## 38 64 FALSE 3 ## 39 66 TRUE 3 ## 40 68 FALSE 3 ## 41 69 TRUE 3 ## 42 70 FALSE 3 ## 43 72 FALSE 3 ## 44 74 FALSE 3 ## 45 75 TRUE 3 ## 46 76 FALSE 3 ## 47 77 FALSE 3 ## 48 78 FALSE 3 ## 49 80 TRUE 3 ## 50 81 FALSE 3 ## 51 82 TRUE 3 ## 52 83 TRUE 3 ## 53 86 TRUE 3 ## 54 87 FALSE 3 ## 55 88 FALSE 3 ## 56 90 FALSE 3 ## 57 91 FALSE 3 ## 58 92 FALSE 3 ## 59 94 FALSE 3 ## 60 95 FALSE 3 ## 61 96 FALSE 3 ## 62 101 FALSE 3 ## 63 102 FALSE 3 ## 64 104 FALSE 3 ## 65 105 FALSE 3 ## 66 106 FALSE 3 ## 67 107 TRUE 3 ## 68 108 TRUE 3 ## 69 109 FALSE 3 ## 70 110 TRUE 3 ## 71 112 FALSE 3 ## 72 113 FALSE 3 ## 73 114 FALSE 3 ## 74 115 FALSE 3 ## 75 116 FALSE 3 ## 76 117 FALSE 3 ## 77 120 FALSE 3 ## 78 122 FALSE 3 ## 79 126 TRUE 3 ## 80 127 FALSE 3 ## 81 128 TRUE 3 ## 82 129 TRUE 3 ## 83 130 FALSE 3 ## 84 131 FALSE 3 ## 85 132 FALSE 3 ## 86 133 FALSE 3 ## 87 139 FALSE 3 ## 88 141 FALSE 3 ## 89 142 TRUE 3 ## 90 143 TRUE 3 ## 91 144 FALSE 3 ## 92 147 TRUE 3 ## 93 148 FALSE 3 ## 94 153 FALSE 3 ## 95 154 FALSE 3 ## 96 155 FALSE 3 ## 97 157 TRUE 3 ## 98 158 FALSE 3 ## 99 159 FALSE 3 ## 100 160 FALSE 3 ## 101 161 FALSE 3 ## 102 163 FALSE 3 ## 103 164 FALSE 3 ## 104 165 FALSE 3 ## 105 166 TRUE 3 ## 106 168 FALSE 3 ## 107 170 FALSE 3 ## 108 172 FALSE 3 ## 109 173 TRUE 3 ## 110 174 FALSE 3 ## 111 176 FALSE 3 ## 112 177 FALSE 3 ## 113 180 FALSE 3 ## 114 181 FALSE 3 ## 115 183 FALSE 3 ## 116 185 TRUE 3 ## 117 187 TRUE 3 ## 118 189 FALSE 3 ## 119 190 FALSE 3 ## 120 193 TRUE 3 ## 121 197 FALSE 3 ## 122 198 FALSE 3 ## 123 199 TRUE 3 ## 124 201 FALSE 3 ## 125 202 FALSE 3 ## 126 203 FALSE 3 ## 127 204 FALSE 3 ## 128 205 TRUE 3 ## 129 206 FALSE 3 ## 130 207 FALSE 3 ## 131 208 TRUE 3 ## 132 209 TRUE 3 ## 133 211 FALSE 3 ## 134 213 FALSE 3 ## 135 215 FALSE 3 ## 136 217 TRUE 3 ## 137 221 TRUE 3 ## 138 223 FALSE 3 ## 139 224 FALSE 3 ## 140 226 FALSE 3 ## 141 228 FALSE 3 ## 142 230 FALSE 3 ## 143 232 FALSE 3 ## 144 234 TRUE 3 ## 145 236 FALSE 3 ## 146 241 FALSE 3 ## 147 242 TRUE 3 ## 148 244 FALSE 3 ## 149 245 FALSE 3 ## 150 247 FALSE 3 ## 151 251 FALSE 3 ## 152 252 FALSE 3 ## 153 254 FALSE 3 ## 154 255 FALSE 3 ## 155 256 TRUE 3 ## 156 261 FALSE 3 ## 157 262 TRUE 3 ## 158 265 FALSE 3 ## 159 267 FALSE 3 ## 160 268 TRUE 3 ## 161 272 TRUE 3 ## 162 275 TRUE 3 ## 163 277 FALSE 3 ## 164 279 FALSE 3 ## 165 280 TRUE 3 ## 166 281 FALSE 3 ## 167 282 FALSE 3 ## 168 283 FALSE 3 ## 169 284 TRUE 3 ## 170 286 FALSE 3 ## 171 287 TRUE 3 ## 172 288 FALSE 3 ## 173 290 TRUE 3 ## 174 294 FALSE 3 ## 175 295 FALSE 3 ## 176 297 FALSE 3 ## 177 301 TRUE 3 ## 178 302 TRUE 3 ## 179 303 FALSE 3 ## 180 305 FALSE 3 ## 181 314 FALSE 3 ## 182 316 TRUE 3 ## 183 321 FALSE 3 ## 184 322 FALSE 3 ## 185 325 FALSE 3 ## 186 327 FALSE 3 ## 187 329 TRUE 3 ## 188 331 TRUE 3 ## 189 334 FALSE 3 ## 190 336 FALSE 3 ## 191 339 TRUE 3 ## 192 348 TRUE 3 ## 193 349 TRUE 3 ## 194 350 FALSE 3 ## 195 351 FALSE 3 ## 196 353 FALSE 3 ## 197 354 FALSE 3 ## 198 355 FALSE 3 ## 199 356 FALSE 3 ## 200 359 TRUE 3 ## 201 360 TRUE 3 ## 202 361 FALSE 3 ## 203 363 FALSE 3 ## 204 364 FALSE 3 ## 205 365 FALSE 3 ## 206 366 FALSE 3 ## 207 368 TRUE 3 ## 208 369 TRUE 3 ## 209 372 FALSE 3 ## 210 373 FALSE 3 ## 211 375 FALSE 3 ## 212 377 TRUE 3 ## 213 379 FALSE 3 ## 214 380 FALSE 3 ## 215 382 TRUE 3 ## 216 383 FALSE 3 ## 217 385 FALSE 3 ## 218 387 FALSE 3 ## 219 389 FALSE 3 ## 220 392 TRUE 3 ## 221 393 FALSE 3 ## 222 395 TRUE 3 ## 223 396 FALSE 3 ## 224 397 FALSE 3 ## 225 401 TRUE 3 ## 226 402 FALSE 3 ## 227 403 FALSE 3 ## 228 404 FALSE 3 ## 229 405 FALSE 3 ## 230 407 FALSE 3 ## 231 409 FALSE 3 ## 232 410 FALSE 3 ## 233 411 FALSE 3 ## 234 412 FALSE 3 ## 235 415 TRUE 3 ## 236 416 FALSE 3 ## 237 420 FALSE 3 ## 238 421 FALSE 3 ## 239 422 FALSE 3 ## 240 423 FALSE 3 ## 241 424 FALSE 3 ## 242 425 FALSE 3 ## 243 426 FALSE 3 ## 244 429 FALSE 3 ## 245 430 TRUE 3 ## 246 432 TRUE 3 ## 247 434 FALSE 3 ## 248 437 FALSE 3 ## 249 442 FALSE 3 ## 250 443 FALSE 3 ## 251 445 TRUE 3 ## 252 449 TRUE 3 ## 253 452 FALSE 3 ## 254 455 FALSE 3 ## 255 456 TRUE 3 ## 256 460 FALSE 3 ## 257 462 FALSE 3 ## 258 465 FALSE 3 ## 259 466 FALSE 3 ## 260 469 FALSE 3 ## 261 470 TRUE 3 ## 262 471 FALSE 3 ## 263 472 FALSE 3 ## 264 475 FALSE 3 ## 265 478 FALSE 3 ## 266 479 FALSE 3 ## 267 480 TRUE 3 ## 268 481 FALSE 3 ## 269 483 FALSE 3 ## 270 484 TRUE 3 ## 271 486 FALSE 3 ## 272 489 FALSE 3 ## 273 490 TRUE 3 ## 274 491 FALSE 3 ## 275 492 FALSE 3 ## 276 495 FALSE 3 ## 277 496 FALSE 3 ## 278 498 FALSE 3 ## 279 500 FALSE 3 ## 280 501 FALSE 3 ## 281 502 FALSE 3 ## 282 503 FALSE 3 ## 283 504 FALSE 3 ## 284 509 FALSE 3 ## 285 510 TRUE 3 ## 286 511 TRUE 3 ## 287 512 FALSE 3 ## 288 515 FALSE 3 ## 289 518 FALSE 3 ## 290 520 FALSE 3 ## 291 522 FALSE 3 ## 292 523 FALSE 3 ## 293 525 FALSE 3 ## 294 526 FALSE 3 ## 295 529 FALSE 3 ## 296 532 FALSE 3 ## 297 533 FALSE 3 ## 298 534 TRUE 3 ## 299 535 FALSE 3 ## 300 539 FALSE 3 ## 301 542 FALSE 3 ## 302 543 FALSE 3 ## 303 549 FALSE 3 ## 304 553 FALSE 3 ## 305 554 TRUE 3 ## 306 555 TRUE 3 ## 307 560 TRUE 3 ## 308 561 FALSE 3 ## 309 562 FALSE 3 ## 310 564 FALSE 3 ## 311 565 FALSE 3 ## 312 566 FALSE 3 ## 313 567 FALSE 3 ## 314 568 FALSE 3 ## 315 569 FALSE 3 ## 316 570 TRUE 3 ## 317 574 TRUE 3 ## 318 575 FALSE 3 ## 319 576 FALSE 3 ## 320 579 FALSE 3 ## 321 580 TRUE 3 ## 322 585 FALSE 3 ## 323 589 FALSE 3 ## 324 590 FALSE 3 ## 325 591 FALSE 3 ## 326 593 FALSE 3 ## 327 594 FALSE 3 ## 328 596 FALSE 3 ## 329 598 FALSE 3 ## 330 599 FALSE 3 ## 331 602 FALSE 3 ## 332 604 FALSE 3 ## 333 606 FALSE 3 ## 334 607 FALSE 3 ## 335 611 FALSE 3 ## 336 612 FALSE 3 ## 337 613 TRUE 3 ## 338 614 FALSE 3 ## 339 615 FALSE 3 ## 340 617 FALSE 3 ## 341 618 FALSE 3 ## 342 621 FALSE 3 ## 343 623 TRUE 3 ## 344 624 FALSE 3 ## 345 625 FALSE 3 ## 346 629 FALSE 3 ## 347 630 FALSE 3 ## 348 632 FALSE 3 ## 349 635 FALSE 3 ## 350 637 FALSE 3 ## 351 639 FALSE 3 ## 352 640 FALSE 3 ## 353 641 FALSE 3 ## 354 643 FALSE 3 ## 355 644 TRUE 3 ## 356 645 TRUE 3 ## 357 647 FALSE 3 ## 358 649 FALSE 3 ## 359 650 TRUE 3 ## 360 651 FALSE 3 ## 361 653 FALSE 3 ## 362 654 TRUE 3 ## 363 655 FALSE 3 ## 364 657 FALSE 3 ## 365 658 FALSE 3 ## 366 662 FALSE 3 ## 367 664 FALSE 3 ## 368 665 TRUE 3 ## 369 668 FALSE 3 ## 370 669 FALSE 3 ## 371 676 FALSE 3 ## 372 677 FALSE 3 ## 373 678 TRUE 3 ## 374 679 FALSE 3 ## 375 681 FALSE 3 ## 376 683 FALSE 3 ## 377 684 FALSE 3 ## 378 687 FALSE 3 ## 379 688 FALSE 3 ## 380 689 FALSE 3 ## 381 692 TRUE 3 ## 382 693 TRUE 3 ## 383 694 FALSE 3 ## 384 697 FALSE 3 ## 385 698 TRUE 3 ## 386 700 FALSE 3 ## 387 703 FALSE 3 ## 388 704 FALSE 3 ## 389 705 FALSE 3 ## 390 710 TRUE 3 ## 391 714 FALSE 3 ## 392 716 FALSE 3 ## 393 719 FALSE 3 ## 394 720 FALSE 3 ## 395 722 FALSE 3 ## 396 726 FALSE 3 ## 397 728 TRUE 3 ## 398 730 FALSE 3 ## 399 732 FALSE 3 ## 400 736 FALSE 3 ## 401 737 FALSE 3 ## 402 739 FALSE 3 ## 403 740 FALSE 3 ## 404 744 FALSE 3 ## 405 745 TRUE 3 ## 406 747 FALSE 3 ## 407 750 FALSE 3 ## 408 752 TRUE 3 ## 409 753 FALSE 3 ## 410 754 FALSE 3 ## 411 757 FALSE 3 ## 412 759 FALSE 3 ## 413 761 FALSE 3 ## 414 762 FALSE 3 ## 415 763 TRUE 3 ## 416 765 FALSE 3 ## 417 768 FALSE 3 ## 418 769 FALSE 3 ## 419 770 FALSE 3 ## 420 771 FALSE 3 ## 421 772 FALSE 3 ## 422 774 FALSE 3 ## 423 776 FALSE 3 ## 424 777 FALSE 3 ## 425 778 TRUE 3 ## 426 779 FALSE 3 ## 427 781 TRUE 3 ## 428 784 FALSE 3 ## 429 785 FALSE 3 ## 430 786 FALSE 3 ## 431 787 TRUE 3 ## 432 788 FALSE 3 ## 433 789 TRUE 3 ## 434 791 FALSE 3 ## 435 793 FALSE 3 ## 436 795 FALSE 3 ## 437 798 TRUE 3 ## 438 799 FALSE 3 ## 439 800 FALSE 3 ## 440 804 TRUE 3 ## 441 805 TRUE 3 ## 442 806 FALSE 3 ## 443 808 FALSE 3 ## 444 811 FALSE 3 ## 445 812 FALSE 3 ## 446 814 FALSE 3 ## 447 815 FALSE 3 ## 448 817 FALSE 3 ## 449 819 FALSE 3 ## 450 820 FALSE 3 ## 451 822 TRUE 3 ## 452 824 TRUE 3 ## 453 825 FALSE 3 ## 454 826 FALSE 3 ## 455 827 FALSE 3 ## 456 829 TRUE 3 ## 457 831 TRUE 3 ## 458 833 FALSE 3 ## 459 834 FALSE 3 ## 460 835 FALSE 3 ## 461 837 FALSE 3 ## 462 838 FALSE 3 ## 463 839 TRUE 3 ## 464 841 FALSE 3 ## 465 844 FALSE 3 ## 466 845 FALSE 3 ## 467 846 FALSE 3 ## 468 847 FALSE 3 ## 469 848 FALSE 3 ## 470 851 FALSE 3 ## 471 852 FALSE 3 ## 472 853 FALSE 3 ## 473 856 TRUE 3 ## 474 859 TRUE 3 ## 475 860 FALSE 3 ## 476 861 FALSE 3 ## 477 864 FALSE 3 ## 478 869 FALSE 3 ## 479 870 TRUE 3 ## 480 871 FALSE 3 ## 481 874 FALSE 3 ## 482 876 TRUE 3 ## 483 877 FALSE 3 ## 484 878 FALSE 3 ## 485 879 FALSE 3 ## 486 882 FALSE 3 ## 487 883 FALSE 3 ## 488 885 FALSE 3 ## 489 886 FALSE 3 ## 490 889 FALSE 3 ## 491 891 FALSE 3 ## Name Sex Age ## 1 Braund, Mr. Owen Harris male 22.00 ## 2 Heikkinen, Miss. Laina female 26.00 ## 3 Allen, Mr. William Henry male 35.00 ## 4 Moran, Mr. James male NA ## 5 Palsson, Master. Gosta Leonard male 2.00 ## 6 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.00 ## 7 Sandstrom, Miss. Marguerite Rut female 4.00 ## 8 Saundercock, Mr. William Henry male 20.00 ## 9 Andersson, Mr. Anders Johan male 39.00 ## 10 Vestrom, Miss. Hulda Amanda Adolfina female 14.00 ## 11 Rice, Master. Eugene male 2.00 ## 12 Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele) female 31.00 ## 13 Masselmani, Mrs. Fatima female NA ## 14 McGowan, Miss. Anna "Annie" female 15.00 ## 15 Palsson, Miss. Torborg Danira female 8.00 ## 16 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson) female 38.00 ## 17 Emir, Mr. Farred Chehab male NA ## 18 O'Dwyer, Miss. Ellen "Nellie" female NA ## 19 Todoroff, Mr. Lalio male NA ## 20 Glynn, Miss. Mary Agatha female NA ## 21 Mamee, Mr. Hanna male NA ## 22 Cann, Mr. Ernest Charles male 21.00 ## 23 Vander Planke, Miss. Augusta Maria female 18.00 ## 24 Nicola-Yarred, Miss. Jamila female 14.00 ## 25 Ahlin, Mrs. Johan (Johanna Persdotter Larsson) female 40.00 ## 26 Kraeff, Mr. Theodor male NA ## 27 Devaney, Miss. Margaret Delia female 19.00 ## 28 Rogers, Mr. William John male NA ## 29 Lennon, Mr. Denis male NA ## 30 O'Driscoll, Miss. Bridget female NA ## 31 Samaan, Mr. Youssef male NA ## 32 Arnold-Franchi, Mrs. Josef (Josefine Franchi) female 18.00 ## 33 Panula, Master. Juha Niilo male 7.00 ## 34 Nosworthy, Mr. Richard Cater male 21.00 ## 35 Novel, Mr. Mansouer male 28.50 ## 36 Goodwin, Master. William Frederick male 11.00 ## 37 Sirayanian, Mr. Orsen male 22.00 ## 38 Skoog, Master. Harald male 4.00 ## 39 Moubarek, Master. Gerios male NA ## 40 Crease, Mr. Ernest James male 19.00 ## 41 Andersson, Miss. Erna Alexandra female 17.00 ## 42 Kink, Mr. Vincenz male 26.00 ## 43 Goodwin, Miss. Lillian Amy female 16.00 ## 44 Chronopoulos, Mr. Apostolos male 26.00 ## 45 Bing, Mr. Lee male 32.00 ## 46 Moen, Mr. Sigurd Hansen male 25.00 ## 47 Staneff, Mr. Ivan male NA ## 48 Moutal, Mr. Rahamin Haim male NA ## 49 Dowdell, Miss. Elizabeth female 30.00 ## 50 Waelens, Mr. Achille male 22.00 ## 51 Sheerlinck, Mr. Jan Baptist male 29.00 ## 52 McDermott, Miss. Brigdet Delia female NA ## 53 Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson) female 33.00 ## 54 Ford, Mr. William Neal male 16.00 ## 55 Slocovski, Mr. Selman Francis male NA ## 56 Celotti, Mr. Francesco male 24.00 ## 57 Christmann, Mr. Emil male 29.00 ## 58 Andreasson, Mr. Paul Edvin male 20.00 ## 59 Dean, Mr. Bertram Frank male 26.00 ## 60 Coxon, Mr. Daniel male 59.00 ## 61 Shorney, Mr. Charles Joseph male NA ## 62 Petranec, Miss. Matilda female 28.00 ## 63 Petroff, Mr. Pastcho ("Pentcho") male NA ## 64 Johansson, Mr. Gustaf Joel male 33.00 ## 65 Gustafsson, Mr. Anders Vilhelm male 37.00 ## 66 Mionoff, Mr. Stoytcho male 28.00 ## 67 Salkjelsvik, Miss. Anna Kristine female 21.00 ## 68 Moss, Mr. Albert Johan male NA ## 69 Rekic, Mr. Tido male 38.00 ## 70 Moran, Miss. Bertha female NA ## 71 Zabour, Miss. Hileni female 14.50 ## 72 Barton, Mr. David John male 22.00 ## 73 Jussila, Miss. Katriina female 20.00 ## 74 Attalah, Miss. Malake female 17.00 ## 75 Pekoniemi, Mr. Edvard male 21.00 ## 76 Connors, Mr. Patrick male 70.50 ## 77 Andersson, Miss. Ellis Anna Maria female 2.00 ## 78 Moore, Mr. Leonard Charles male NA ## 79 Nicola-Yarred, Master. Elias male 12.00 ## 80 McMahon, Mr. Martin male NA ## 81 Madsen, Mr. Fridtjof Arne male 24.00 ## 82 Peter, Miss. Anna female NA ## 83 Ekstrom, Mr. Johan male 45.00 ## 84 Drazenoic, Mr. Jozef male 33.00 ## 85 Coelho, Mr. Domingos Fernandeo male 20.00 ## 86 Robins, Mrs. Alexander A (Grace Charity Laury) female 47.00 ## 87 Osen, Mr. Olaf Elon male 16.00 ## 88 Boulos, Mrs. Joseph (Sultana) female NA ## 89 Nysten, Miss. Anna Sofia female 22.00 ## 90 Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck) female 24.00 ## 91 Burke, Mr. Jeremiah male 19.00 ## 92 Andersson, Mr. August Edvard ("Wennerstrom") male 27.00 ## 93 Ford, Miss. Robina Maggie "Ruby" female 9.00 ## 94 Meo, Mr. Alfonzo male 55.50 ## 95 van Billiard, Mr. Austin Blyler male 40.50 ## 96 Olsen, Mr. Ole Martin male NA ## 97 Gilnagh, Miss. Katherine "Katie" female 16.00 ## 98 Corn, Mr. Harry male 30.00 ## 99 Smiljanic, Mr. Mile male NA ## 100 Sage, Master. Thomas Henry male NA ## 101 Cribb, Mr. John Hatfield male 44.00 ## 102 Bengtsson, Mr. John Viktor male 26.00 ## 103 Calic, Mr. Jovo male 17.00 ## 104 Panula, Master. Eino Viljami male 1.00 ## 105 Goldsmith, Master. Frank John William "Frankie" male 9.00 ## 106 Skoog, Mrs. William (Anna Bernhardina Karlsson) female 45.00 ## 107 Ling, Mr. Lee male 28.00 ## 108 Rice, Master. Arthur male 4.00 ## 109 Johnson, Miss. Eleanor Ileen female 1.00 ## 110 Sivola, Mr. Antti Wilhelm male 21.00 ## 111 Klasen, Mr. Klas Albin male 18.00 ## 112 Lefebre, Master. Henry Forbes male NA ## 113 Leonard, Mr. Lionel male 36.00 ## 114 Sage, Miss. Constance Gladys female NA ## 115 Asplund, Master. Clarence Gustaf Hugo male 9.00 ## 116 Kink-Heilmann, Miss. Luise Gretchen female 4.00 ## 117 O'Brien, Mrs. Thomas (Johanna "Hannah" Godfrey) female NA ## 118 Bourke, Mr. John male 40.00 ## 119 Turcin, Mr. Stjepan male 36.00 ## 120 Andersen-Jensen, Miss. Carla Christine Nielsine female 19.00 ## 121 Mernagh, Mr. Robert male NA ## 122 Olsen, Mr. Karl Siegwart Andreas male 42.00 ## 123 Madigan, Miss. Margaret "Maggie" female NA ## 124 Vande Walle, Mr. Nestor Cyriel male 28.00 ## 125 Sage, Mr. Frederick male NA ## 126 Johanson, Mr. Jakob Alfred male 34.00 ## 127 Youseff, Mr. Gerious male 45.50 ## 128 Cohen, Mr. Gurshon "Gus" male 18.00 ## 129 Strom, Miss. Telma Matilda female 2.00 ## 130 Backstrom, Mr. Karl Alfred male 32.00 ## 131 Albimona, Mr. Nassef Cassem male 26.00 ## 132 Carr, Miss. Helen "Ellen" female 16.00 ## 133 Ali, Mr. Ahmed male 24.00 ## 134 Perkin, Mr. John Henry male 22.00 ## 135 Kiernan, Mr. Philip male NA ## 136 Honkanen, Miss. Eliina female 27.00 ## 137 Sunderland, Mr. Victor Francis male 16.00 ## 138 Green, Mr. George Henry male 51.00 ## 139 Nenkoff, Mr. Christo male NA ## 140 Berglund, Mr. Karl Ivar Sven male 22.00 ## 141 Lovell, Mr. John Hall ("Henry") male 20.50 ## 142 Lefebre, Miss. Mathilde female NA ## 143 Larsson, Mr. Bengt Edvin male 29.00 ## 144 Asplund, Miss. Lillian Gertrud female 5.00 ## 145 Harknett, Miss. Alice Phoebe female NA ## 146 Zabour, Miss. Thamine female NA ## 147 Murphy, Miss. Katherine "Kate" female NA ## 148 Maenpaa, Mr. Matti Alexanteri male 22.00 ## 149 Attalah, Mr. Sleiman male 30.00 ## 150 Lindahl, Miss. Agda Thorilda Viktoria female 25.00 ## 151 Reed, Mr. James George male NA ## 152 Strom, Mrs. Wilhelm (Elna Matilda Persson) female 29.00 ## 153 Lobb, Mr. William Arthur male 30.00 ## 154 Rosblom, Mrs. Viktor (Helena Wilhelmina) female 41.00 ## 155 Touma, Mrs. Darwis (Hanne Youssef Razi) female 29.00 ## 156 Smith, Mr. Thomas male NA ## 157 Asplund, Master. Edvin Rojj Felix male 3.00 ## 158 Henry, Miss. Delia female NA ## 159 Panula, Mr. Ernesti Arvid male 16.00 ## 160 Persson, Mr. Ernst Ulrik male 25.00 ## 161 Tornquist, Mr. William Henry male 25.00 ## 162 Healy, Miss. Hanora "Nora" female NA ## 163 Lindblom, Miss. Augusta Charlotta female 45.00 ## 164 Rice, Master. Eric male 7.00 ## 165 Abbott, Mrs. Stanton (Rosa Hunt) female 35.00 ## 166 Duane, Mr. Frank male 65.00 ## 167 Olsson, Mr. Nils Johan Goransson male 28.00 ## 168 de Pelsmaeker, Mr. Alfons male 16.00 ## 169 Dorking, Mr. Edward Arthur male 19.00 ## 170 Stankovic, Mr. Ivan male 33.00 ## 171 de Mulder, Mr. Theodore male 30.00 ## 172 Naidenoff, Mr. Penko male 22.00 ## 173 Connolly, Miss. Kate female 22.00 ## 174 Haas, Miss. Aloisia female 24.00 ## 175 Mineff, Mr. Ivan male 24.00 ## 176 Hanna, Mr. Mansour male 23.50 ## 177 Kelly, Miss. Anna Katherine "Annie Kate" female NA ## 178 McCoy, Mr. Bernard male NA ## 179 Johnson, Mr. William Cahoone Jr male 19.00 ## 180 Williams, Mr. Howard Hugh "Harry" male NA ## 181 Hendekovic, Mr. Ignjac male 28.00 ## 182 Nilsson, Miss. Helmina Josefina female 26.00 ## 183 Dennis, Mr. Samuel male 22.00 ## 184 Danoff, Mr. Yoto male 27.00 ## 185 Sage, Mr. George John Jr male NA ## 186 Nysveen, Mr. Johan Hansen male 61.00 ## 187 Goldsmith, Mrs. Frank John (Emily Alice Brown) female 31.00 ## 188 McCoy, Miss. Agnes female NA ## 189 Vander Planke, Mr. Leo Edmondus male 16.00 ## 190 Denkoff, Mr. Mitto male NA ## 191 Dahl, Mr. Karl Edwart male 45.00 ## 192 Davison, Mrs. Thomas Henry (Mary E Finck) female NA ## 193 Coutts, Master. William Loch "William" male 3.00 ## 194 Dimic, Mr. Jovan male 42.00 ## 195 Odahl, Mr. Nils Martin male 23.00 ## 196 Elias, Mr. Tannous male 15.00 ## 197 Arnold-Franchi, Mr. Josef male 25.00 ## 198 Yousif, Mr. Wazli male NA ## 199 Vanden Steen, Mr. Leo Peter male 28.00 ## 200 McGovern, Miss. Mary female NA ## 201 Mockler, Miss. Helen Mary "Ellie" female NA ## 202 Skoog, Mr. Wilhelm male 40.00 ## 203 Barbara, Mrs. (Catherine David) female 45.00 ## 204 Asim, Mr. Adola male 35.00 ## 205 O'Brien, Mr. Thomas male NA ## 206 Adahl, Mr. Mauritz Nils Martin male 30.00 ## 207 Moussa, Mrs. (Mantoura Boulos) female NA ## 208 Jermyn, Miss. Annie female NA ## 209 Wiklund, Mr. Jakob Alfred male 18.00 ## 210 Beavan, Mr. William Thomas male 19.00 ## 211 Palsson, Miss. Stina Viola female 3.00 ## 212 Landergren, Miss. Aurora Adelia female 22.00 ## 213 Betros, Mr. Tannous male 20.00 ## 214 Gustafsson, Mr. Karl Gideon male 19.00 ## 215 Nakid, Miss. Maria ("Mary") female 1.00 ## 216 Tikkanen, Mr. Juho male 32.00 ## 217 Plotcharsky, Mr. Vasil male NA ## 218 Goodwin, Master. Sidney Leonard male 1.00 ## 219 Sadlier, Mr. Matthew male NA ## 220 Jansson, Mr. Carl Olof male 21.00 ## 221 Gustafsson, Mr. Johan Birger male 28.00 ## 222 Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson) female 24.00 ## 223 Johansson, Mr. Erik male 22.00 ## 224 Olsson, Miss. Elina female 31.00 ## 225 Niskanen, Mr. Juha male 39.00 ## 226 Adams, Mr. John male 26.00 ## 227 Jussila, Miss. Mari Aina female 21.00 ## 228 Hakkarainen, Mr. Pekka Pietari male 28.00 ## 229 Oreskovic, Miss. Marija female 20.00 ## 230 Widegren, Mr. Carl/Charles Peter male 51.00 ## 231 Birkeland, Mr. Hans Martin Monsen male 21.00 ## 232 Lefebre, Miss. Ida female NA ## 233 Sdycoff, Mr. Todor male NA ## 234 Hart, Mr. Henry male NA ## 235 Sundman, Mr. Johan Julian male 44.00 ## 236 Meek, Mrs. Thomas (Annie Louise Rowley) female NA ## 237 Van Impe, Miss. Catharina female 10.00 ## 238 Gheorgheff, Mr. Stanio male NA ## 239 Charters, Mr. David male 21.00 ## 240 Zimmerman, Mr. Leo male 29.00 ## 241 Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren) female 28.00 ## 242 Rosblom, Mr. Viktor Richard male 18.00 ## 243 Wiseman, Mr. Phillippe male NA ## 244 Flynn, Mr. James male NA ## 245 Pickard, Mr. Berk (Berk Trembisky) male 32.00 ## 246 Thorneycroft, Mrs. Percival (Florence Kate White) female NA ## 247 Kallio, Mr. Nikolai Erland male 17.00 ## 248 Ford, Miss. Doolina Margaret "Daisy" female 21.00 ## 249 Hampe, Mr. Leon male 20.00 ## 250 Petterson, Mr. Johan Emil male 25.00 ## 251 Johannesen-Bratthammer, Mr. Bernt male NA ## 252 Baclini, Miss. Marie Catherine female 5.00 ## 253 Hagland, Mr. Ingvald Olai Olsen male NA ## 254 Peduzzi, Mr. Joseph male NA ## 255 Jalsevac, Mr. Ivan male 29.00 ## 256 O'Connor, Mr. Maurice male NA ## 257 Morley, Mr. William male 34.00 ## 258 Maisner, Mr. Simon male NA ## 259 Goncalves, Mr. Manuel Estanslas male 38.00 ## 260 Scanlan, Mr. James male NA ## 261 Baclini, Miss. Helene Barbara female 0.75 ## 262 Keefe, Mr. Arthur male NA ## 263 Cacic, Mr. Luka male 38.00 ## 264 Strandberg, Miss. Ida Sofia female 22.00 ## 265 Braund, Mr. Lewis Richard male 29.00 ## 266 Karlsson, Mr. Nils August male 22.00 ## 267 Hirvonen, Miss. Hildur E female 2.00 ## 268 Goodwin, Master. Harold Victor male 9.00 ## 269 Rouse, Mr. Richard Henry male 50.00 ## 270 Turkula, Mrs. (Hedwig) female 63.00 ## 271 Lefebre, Miss. Jeannie female NA ## 272 Somerton, Mr. Francis William male 30.00 ## 273 Coutts, Master. Eden Leslie "Neville" male 9.00 ## 274 Hagland, Mr. Konrad Mathias Reiersen male NA ## 275 Windelov, Mr. Einar male 21.00 ## 276 Stanley, Mr. Edward Roland male 21.00 ## 277 Yousseff, Mr. Gerious male NA ## 278 Shellard, Mr. Frederick William male NA ## 279 Svensson, Mr. Olof male 24.00 ## 280 Calic, Mr. Petar male 17.00 ## 281 Canavan, Miss. Mary female 21.00 ## 282 O'Sullivan, Miss. Bridget Mary female NA ## 283 Laitinen, Miss. Kristina Sofia female 37.00 ## 284 Olsen, Mr. Henry Margido male 28.00 ## 285 Lang, Mr. Fang male 26.00 ## 286 Daly, Mr. Eugene Patrick male 29.00 ## 287 Webber, Mr. James male NA ## 288 Coleff, Mr. Satio male 24.00 ## 289 Ryan, Mr. Patrick male NA ## 290 Pavlovic, Mr. Stefo male 32.00 ## 291 Vovk, Mr. Janko male 22.00 ## 292 Lahoud, Mr. Sarkis male NA ## 293 Kassem, Mr. Fared male NA ## 294 Farrell, Mr. James male 40.50 ## 295 Salonen, Mr. Johan Werner male 39.00 ## 296 Toufik, Mr. Nakli male NA ## 297 Elias, Mr. Joseph Jr male 17.00 ## 298 Peter, Mrs. Catherine (Catherine Rizk) female NA ## 299 Cacic, Miss. Marija female 30.00 ## 300 Risien, Mr. Samuel Beard male NA ## 301 Andersson, Miss. Ingeborg Constanzia female 9.00 ## 302 Andersson, Miss. Sigrid Elisabeth female 11.00 ## 303 Goldsmith, Mr. Frank John male 33.00 ## 304 O'Brien, Mr. Timothy male NA ## 305 Leeni, Mr. Fahim ("Philip Zenni") male 22.00 ## 306 Ohman, Miss. Velin female 22.00 ## 307 de Messemaeker, Mrs. Guillaume Joseph (Emma) female 36.00 ## 308 Morrow, Mr. Thomas Rowan male NA ## 309 Sivic, Mr. Husein male 40.00 ## 310 Simmons, Mr. John male NA ## 311 Meanwell, Miss. (Marion Ogden) female NA ## 312 Davies, Mr. Alfred J male 24.00 ## 313 Stoytcheff, Mr. Ilia male 19.00 ## 314 Palsson, Mrs. Nils (Alma Cornelia Berglund) female 29.00 ## 315 Doharr, Mr. Tannous male NA ## 316 Jonsson, Mr. Carl male 32.00 ## 317 Kelly, Miss. Mary female NA ## 318 Rush, Mr. Alfred George John male 16.00 ## 319 Patchett, Mr. George male 19.00 ## 320 Caram, Mrs. Joseph (Maria Elias) female NA ## 321 Jussila, Mr. Eiriik male 32.00 ## 322 Paulner, Mr. Uscher male NA ## 323 Gilinski, Mr. Eliezer male 22.00 ## 324 Murdlin, Mr. Joseph male NA ## 325 Rintamaki, Mr. Matti male 35.00 ## 326 Elsbury, Mr. William James male 47.00 ## 327 Bourke, Miss. Mary female NA ## 328 Van Impe, Mr. Jean Baptiste male 36.00 ## 329 Johnson, Mr. Alfred male 49.00 ## 330 Boulos, Mr. Hanna male NA ## 331 Slabenoff, Mr. Petco male NA ## 332 Torber, Mr. Ernst William male 44.00 ## 333 Lindell, Mr. Edvard Bengtsson male 36.00 ## 334 Karaic, Mr. Milan male 30.00 ## 335 Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren) female 39.00 ## 336 Jardin, Mr. Jose Neto male NA ## 337 Murphy, Miss. Margaret Jane female NA ## 338 Horgan, Mr. John male NA ## 339 Brocklebank, Mr. William Alfred male 35.00 ## 340 Danbom, Mr. Ernst Gilbert male 34.00 ## 341 Lobb, Mrs. William Arthur (Cordelia K Stanlick) female 26.00 ## 342 Yasbeck, Mr. Antoni male 27.00 ## 343 Nakid, Mr. Sahid male 20.00 ## 344 Hansen, Mr. Henry Damsgaard male 21.00 ## 345 Bowen, Mr. David John "Dai" male 21.00 ## 346 Bostandyeff, Mr. Guentcho male 26.00 ## 347 O'Connell, Mr. Patrick D male NA ## 348 Lundahl, Mr. Johan Svensson male 51.00 ## 349 Skoog, Miss. Mabel female 9.00 ## 350 Leinonen, Mr. Antti Gustaf male 32.00 ## 351 Panula, Mrs. Juha (Maria Emilia Ojala) female 41.00 ## 352 Thorneycroft, Mr. Percival male NA ## 353 Jensen, Mr. Hans Peder male 20.00 ## 354 Skoog, Miss. Margit Elizabeth female 2.00 ## 355 Foo, Mr. Choong male NA ## 356 Baclini, Miss. Eugenie female 0.75 ## 357 Cor, Mr. Liudevit male 19.00 ## 358 Willey, Mr. Edward male NA ## 359 Stanley, Miss. Amy Zillah Elsie female 23.00 ## 360 Mitkoff, Mr. Mito male NA ## 361 Kalvik, Mr. Johannes Halvorsen male 21.00 ## 362 O'Leary, Miss. Hanora "Norah" female NA ## 363 Hegarty, Miss. Hanora "Nora" female 18.00 ## 364 Radeff, Mr. Alexander male NA ## 365 Bourke, Mrs. John (Catherine) female 32.00 ## 366 Badt, Mr. Mohamed male 40.00 ## 367 Coleff, Mr. Peju male 36.00 ## 368 Lindqvist, Mr. Eino William male 20.00 ## 369 Rommetvedt, Mr. Knud Paust male NA ## 370 Cook, Mr. Jacob male 43.00 ## 371 Edvardsson, Mr. Gustaf Hjalmar male 18.00 ## 372 Sawyer, Mr. Frederick Charles male 24.50 ## 373 Turja, Miss. Anna Sofia female 18.00 ## 374 Goodwin, Mrs. Frederick (Augusta Tyler) female 43.00 ## 375 Peters, Miss. Katie female NA ## 376 Olsvigen, Mr. Thor Anderson male 20.00 ## 377 Goodwin, Mr. Charles Edward male 14.00 ## 378 Panula, Mr. Jaako Arnold male 14.00 ## 379 Dakic, Mr. Branko male 19.00 ## 380 Fischer, Mr. Eberhard Thelander male 18.00 ## 381 Karun, Miss. Manca female 4.00 ## 382 Lam, Mr. Ali male NA ## 383 Saad, Mr. Khalil male 25.00 ## 384 Kelly, Mr. James male 44.00 ## 385 Mullens, Miss. Katherine "Katie" female NA ## 386 Humblen, Mr. Adolf Mathias Nicolai Olsen male 42.00 ## 387 Barbara, Miss. Saiide female 18.00 ## 388 Gallagher, Mr. Martin male 25.00 ## 389 Hansen, Mr. Henrik Juul male 26.00 ## 390 Moubarek, Master. Halim Gonios ("William George") male NA ## 391 Larsson, Mr. August Viktor male 29.00 ## 392 Soholt, Mr. Peter Andreas Lauritz Andersen male 19.00 ## 393 McEvoy, Mr. Michael male NA ## 394 Johnson, Mr. Malkolm Joackim male 33.00 ## 395 Jensen, Mr. Svend Lauritz male 17.00 ## 396 Oreskovic, Mr. Luka male 20.00 ## 397 Mannion, Miss. Margareth female NA ## 398 Ilmakangas, Miss. Pieta Sofia female 25.00 ## 399 Hassan, Mr. Houssein G N male 11.00 ## 400 Williams, Mr. Leslie male 28.50 ## 401 Ford, Mrs. Edward (Margaret Ann Watson) female 48.00 ## 402 Ivanoff, Mr. Kanio male NA ## 403 Nankoff, Mr. Minko male NA ## 404 McNamee, Mr. Neal male 24.00 ## 405 Stranden, Mr. Juho male 31.00 ## 406 Abbott, Mr. Rossmore Edward male 16.00 ## 407 Connaghton, Mr. Michael male 31.00 ## 408 Moor, Master. Meier male 6.00 ## 409 Vande Velde, Mr. Johannes Joseph male 33.00 ## 410 Jonkoff, Mr. Lalio male 23.00 ## 411 Carlsson, Mr. August Sigfrid male 28.00 ## 412 Theobald, Mr. Thomas Leonard male 34.00 ## 413 Garfirth, Mr. John male NA ## 414 Nirva, Mr. Iisakki Antino Aijo male 41.00 ## 415 Barah, Mr. Hanna Assi male 20.00 ## 416 Eklund, Mr. Hans Linus male 16.00 ## 417 Mangan, Miss. Mary female 30.50 ## 418 Moran, Mr. Daniel J male NA ## 419 Gronnestad, Mr. Daniel Danielsen male 32.00 ## 420 Lievens, Mr. Rene Aime male 24.00 ## 421 Jensen, Mr. Niels Peder male 48.00 ## 422 Elias, Mr. Dibo male NA ## 423 Myhrman, Mr. Pehr Fabian Oliver Malkolm male 18.00 ## 424 Tobin, Mr. Roger male NA ## 425 Emanuel, Miss. Virginia Ethel female 5.00 ## 426 Kilgannon, Mr. Thomas J male NA ## 427 Ayoub, Miss. Banoura female 13.00 ## 428 Johnston, Mr. Andrew G male NA ## 429 Ali, Mr. William male 25.00 ## 430 Harmer, Mr. Abraham (David Lishin) male 25.00 ## 431 Sjoblom, Miss. Anna Sofia female 18.00 ## 432 Rice, Master. George Hugh male 8.00 ## 433 Dean, Master. Bertram Vere male 1.00 ## 434 Keane, Mr. Andrew "Andy" male NA ## 435 Sage, Miss. Stella Anna female NA ## 436 Dantcheff, Mr. Ristiu male 25.00 ## 437 Osman, Mrs. Mara female 31.00 ## 438 Ibrahim Shawah, Mr. Yousseff male 30.00 ## 439 Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert) female 30.00 ## 440 Thomas, Master. Assad Alexander male 0.42 ## 441 Hedman, Mr. Oskar Arvid male 27.00 ## 442 Johansson, Mr. Karl Johan male 31.00 ## 443 Pettersson, Miss. Ellen Natalia female 18.00 ## 444 Alexander, Mr. William male 26.00 ## 445 Lester, Mr. James male 39.00 ## 446 Andersson, Miss. Ebba Iris Alfrida female 6.00 ## 447 Tomlin, Mr. Ernest Portage male 30.50 ## 448 Heininen, Miss. Wendla Maria female 23.00 ## 449 Holm, Mr. John Fredrik Alexander male 43.00 ## 450 Skoog, Master. Karl Thorsten male 10.00 ## 451 Lulic, Mr. Nikola male 27.00 ## 452 Moor, Mrs. (Beila) female 27.00 ## 453 Panula, Master. Urho Abraham male 2.00 ## 454 Flynn, Mr. John male NA ## 455 Lam, Mr. Len male NA ## 456 McCormack, Mr. Thomas Joseph male NA ## 457 Yasbeck, Mrs. Antoni (Selini Alexander) female 15.00 ## 458 Saad, Mr. Amin male NA ## 459 Augustsson, Mr. Albert male 23.00 ## 460 Allum, Mr. Owen George male 18.00 ## 461 Pasic, Mr. Jakob male 21.00 ## 462 Sirota, Mr. Maurice male NA ## 463 Chip, Mr. Chang male 32.00 ## 464 Alhomaki, Mr. Ilmari Rudolf male 20.00 ## 465 Lemberopolous, Mr. Peter L male 34.50 ## 466 Culumovic, Mr. Jeso male 17.00 ## 467 Abbing, Mr. Anthony male 42.00 ## 468 Sage, Mr. Douglas Bullen male NA ## 469 Markoff, Mr. Marin male 35.00 ## 470 Andersson, Master. Sigvard Harald Elias male 4.00 ## 471 Svensson, Mr. Johan male 74.00 ## 472 Boulos, Miss. Nourelain female 9.00 ## 473 Aks, Mrs. Sam (Leah Rosen) female 18.00 ## 474 Baclini, Mrs. Solomon (Latifa Qurban) female 24.00 ## 475 Razi, Mr. Raihed male NA ## 476 Hansen, Mr. Claus Peter male 41.00 ## 477 Sage, Miss. Dorothy Edith "Dolly" female NA ## 478 van Melkebeke, Mr. Philemon male NA ## 479 Johnson, Master. Harold Theodor male 4.00 ## 480 Balkic, Mr. Cerin male 26.00 ## 481 Vander Cruyssen, Mr. Victor male 47.00 ## 482 Najib, Miss. Adele Kiamie "Jane" female 15.00 ## 483 Gustafsson, Mr. Alfred Ossian male 20.00 ## 484 Petroff, Mr. Nedelio male 19.00 ## 485 Laleff, Mr. Kristo male NA ## 486 Markun, Mr. Johann male 33.00 ## 487 Dahlberg, Miss. Gerda Ulrika female 22.00 ## 488 Sutehall, Mr. Henry Jr male 25.00 ## 489 Rice, Mrs. William (Margaret Norton) female 39.00 ## 490 Johnston, Miss. Catherine Helen "Carrie" female NA ## 491 Dooley, Mr. Patrick male 32.00 ## SibSp Parch Ticket Fare Cabin Embarked age_new ## 1 1 0 A/5 21171 7.2500 S 130.00 ## 2 0 0 STON/O2. 3101282 7.9250 S 134.00 ## 3 0 0 373450 8.0500 S 143.00 ## 4 0 0 330877 8.4583 Q NA ## 5 3 1 349909 21.0750 S 110.00 ## 6 0 2 347742 11.1333 S 135.00 ## 7 1 1 PP 9549 16.7000 G6 S 112.00 ## 8 0 0 A/5. 2151 8.0500 S 128.00 ## 9 1 5 347082 31.2750 S 147.00 ## 10 0 0 350406 7.8542 S 122.00 ## 11 4 1 382652 29.1250 Q 110.00 ## 12 1 0 345763 18.0000 S 139.00 ## 13 0 0 2649 7.2250 C NA ## 14 0 0 330923 8.0292 Q 123.00 ## 15 3 1 349909 21.0750 S 116.00 ## 16 1 5 347077 31.3875 S 146.00 ## 17 0 0 2631 7.2250 C NA ## 18 0 0 330959 7.8792 Q NA ## 19 0 0 349216 7.8958 S NA ## 20 0 0 335677 7.7500 Q NA ## 21 0 0 2677 7.2292 C NA ## 22 0 0 A./5. 2152 8.0500 S 129.00 ## 23 2 0 345764 18.0000 S 126.00 ## 24 1 0 2651 11.2417 C 122.00 ## 25 1 0 7546 9.4750 S 148.00 ## 26 0 0 349253 7.8958 C NA ## 27 0 0 330958 7.8792 Q 127.00 ## 28 0 0 S.C./A.4. 23567 8.0500 S NA ## 29 1 0 370371 15.5000 Q NA ## 30 0 0 14311 7.7500 Q NA ## 31 2 0 2662 21.6792 C NA ## 32 1 0 349237 17.8000 S 126.00 ## 33 4 1 3101295 39.6875 S 115.00 ## 34 0 0 A/4. 39886 7.8000 S 129.00 ## 35 0 0 2697 7.2292 C 136.50 ## 36 5 2 CA 2144 46.9000 S 119.00 ## 37 0 0 2669 7.2292 C 130.00 ## 38 3 2 347088 27.9000 S 112.00 ## 39 1 1 2661 15.2458 C NA ## 40 0 0 S.P. 3464 8.1583 S 127.00 ## 41 4 2 3101281 7.9250 S 125.00 ## 42 2 0 315151 8.6625 S 134.00 ## 43 5 2 CA 2144 46.9000 S 124.00 ## 44 1 0 2680 14.4542 C 134.00 ## 45 0 0 1601 56.4958 S 140.00 ## 46 0 0 348123 7.6500 F G73 S 133.00 ## 47 0 0 349208 7.8958 S NA ## 48 0 0 374746 8.0500 S NA ## 49 0 0 364516 12.4750 S 138.00 ## 50 0 0 345767 9.0000 S 130.00 ## 51 0 0 345779 9.5000 S 137.00 ## 52 0 0 330932 7.7875 Q NA ## 53 3 0 3101278 15.8500 S 141.00 ## 54 1 3 W./C. 6608 34.3750 S 124.00 ## 55 0 0 SOTON/OQ 392086 8.0500 S NA ## 56 0 0 343275 8.0500 S 132.00 ## 57 0 0 343276 8.0500 S 137.00 ## 58 0 0 347466 7.8542 S 128.00 ## 59 1 2 C.A. 2315 20.5750 S 134.00 ## 60 0 0 364500 7.2500 S 167.00 ## 61 0 0 374910 8.0500 S NA ## 62 0 0 349245 7.8958 S 136.00 ## 63 0 0 349215 7.8958 S NA ## 64 0 0 7540 8.6542 S 141.00 ## 65 2 0 3101276 7.9250 S 145.00 ## 66 0 0 349207 7.8958 S 136.00 ## 67 0 0 343120 7.6500 S 129.00 ## 68 0 0 312991 7.7750 S NA ## 69 0 0 349249 7.8958 S 146.00 ## 70 1 0 371110 24.1500 Q NA ## 71 1 0 2665 14.4542 C 122.50 ## 72 0 0 324669 8.0500 S 130.00 ## 73 1 0 4136 9.8250 S 128.00 ## 74 0 0 2627 14.4583 C 125.00 ## 75 0 0 STON/O 2. 3101294 7.9250 S 129.00 ## 76 0 0 370369 7.7500 Q 178.50 ## 77 4 2 347082 31.2750 S 110.00 ## 78 0 0 A4. 54510 8.0500 S NA ## 79 1 0 2651 11.2417 C 120.00 ## 80 0 0 370372 7.7500 Q NA ## 81 0 0 C 17369 7.1417 S 132.00 ## 82 1 1 2668 22.3583 F E69 C NA ## 83 0 0 347061 6.9750 S 153.00 ## 84 0 0 349241 7.8958 C 141.00 ## 85 0 0 SOTON/O.Q. 3101307 7.0500 S 128.00 ## 86 1 0 A/5. 3337 14.5000 S 155.00 ## 87 0 0 7534 9.2167 S 124.00 ## 88 0 2 2678 15.2458 C NA ## 89 0 0 347081 7.7500 S 130.00 ## 90 1 0 STON/O2. 3101279 15.8500 S 132.00 ## 91 0 0 365222 6.7500 Q 127.00 ## 92 0 0 350043 7.7958 S 135.00 ## 93 2 2 W./C. 6608 34.3750 S 117.00 ## 94 0 0 A.5. 11206 8.0500 S 163.50 ## 95 0 2 A/5. 851 14.5000 S 148.50 ## 96 0 0 Fa 265302 7.3125 S NA ## 97 0 0 35851 7.7333 Q 124.00 ## 98 0 0 SOTON/OQ 392090 8.0500 S 138.00 ## 99 0 0 315037 8.6625 S NA ## 100 8 2 CA. 2343 69.5500 S NA ## 101 0 1 371362 16.1000 S 152.00 ## 102 0 0 347068 7.7750 S 134.00 ## 103 0 0 315093 8.6625 S 125.00 ## 104 4 1 3101295 39.6875 S 109.00 ## 105 0 2 363291 20.5250 S 117.00 ## 106 1 4 347088 27.9000 S 153.00 ## 107 0 0 1601 56.4958 S 136.00 ## 108 4 1 382652 29.1250 Q 112.00 ## 109 1 1 347742 11.1333 S 109.00 ## 110 0 0 STON/O 2. 3101280 7.9250 S 129.00 ## 111 1 1 350404 7.8542 S 126.00 ## 112 3 1 4133 25.4667 S NA ## 113 0 0 LINE 0.0000 S 144.00 ## 114 8 2 CA. 2343 69.5500 S NA ## 115 4 2 347077 31.3875 S 117.00 ## 116 0 2 315153 22.0250 S 112.00 ## 117 1 0 370365 15.5000 Q NA ## 118 1 1 364849 15.5000 Q 148.00 ## 119 0 0 349247 7.8958 S 144.00 ## 120 1 0 350046 7.8542 S 127.00 ## 121 0 0 368703 7.7500 Q NA ## 122 0 1 4579 8.4042 S 150.00 ## 123 0 0 370370 7.7500 Q NA ## 124 0 0 345770 9.5000 S 136.00 ## 125 8 2 CA. 2343 69.5500 S NA ## 126 0 0 3101264 6.4958 S 142.00 ## 127 0 0 2628 7.2250 C 153.50 ## 128 0 0 A/5 3540 8.0500 S 126.00 ## 129 0 1 347054 10.4625 G6 S 110.00 ## 130 1 0 3101278 15.8500 S 140.00 ## 131 0 0 2699 18.7875 C 134.00 ## 132 0 0 367231 7.7500 Q 124.00 ## 133 0 0 SOTON/O.Q. 3101311 7.0500 S 132.00 ## 134 0 0 A/5 21174 7.2500 S 130.00 ## 135 1 0 367229 7.7500 Q NA ## 136 0 0 STON/O2. 3101283 7.9250 S 135.00 ## 137 0 0 SOTON/OQ 392089 8.0500 S 124.00 ## 138 0 0 21440 8.0500 S 159.00 ## 139 0 0 349234 7.8958 S NA ## 140 0 0 PP 4348 9.3500 S 130.00 ## 141 0 0 A/5 21173 7.2500 S 128.50 ## 142 3 1 4133 25.4667 S NA ## 143 0 0 347067 7.7750 S 137.00 ## 144 4 2 347077 31.3875 S 113.00 ## 145 0 0 W./C. 6609 7.5500 S NA ## 146 1 0 2665 14.4542 C NA ## 147 1 0 367230 15.5000 Q NA ## 148 0 0 STON/O 2. 3101275 7.1250 S 130.00 ## 149 0 0 2694 7.2250 C 138.00 ## 150 0 0 347071 7.7750 S 133.00 ## 151 0 0 362316 7.2500 S NA ## 152 1 1 347054 10.4625 G6 S 137.00 ## 153 1 0 A/5. 3336 16.1000 S 138.00 ## 154 0 2 370129 20.2125 S 149.00 ## 155 0 2 2650 15.2458 C 137.00 ## 156 0 0 384461 7.7500 Q NA ## 157 4 2 347077 31.3875 S 111.00 ## 158 0 0 382649 7.7500 Q NA ## 159 4 1 3101295 39.6875 S 124.00 ## 160 1 0 347083 7.7750 S 133.00 ## 161 0 0 LINE 0.0000 S 133.00 ## 162 0 0 370375 7.7500 Q NA ## 163 0 0 347073 7.7500 S 153.00 ## 164 4 1 382652 29.1250 Q 115.00 ## 165 1 1 C.A. 2673 20.2500 S 143.00 ## 166 0 0 336439 7.7500 Q 173.00 ## 167 0 0 347464 7.8542 S 136.00 ## 168 0 0 345778 9.5000 S 124.00 ## 169 0 0 A/5. 10482 8.0500 S 127.00 ## 170 0 0 349239 8.6625 C 141.00 ## 171 0 0 345774 9.5000 S 138.00 ## 172 0 0 349206 7.8958 S 130.00 ## 173 0 0 370373 7.7500 Q 130.00 ## 174 0 0 349236 8.8500 S 132.00 ## 175 0 0 349233 7.8958 S 132.00 ## 176 0 0 2693 7.2292 C 131.50 ## 177 0 0 9234 7.7500 Q NA ## 178 2 0 367226 23.2500 Q NA ## 179 0 0 LINE 0.0000 S 127.00 ## 180 0 0 A/5 2466 8.0500 S NA ## 181 0 0 349243 7.8958 S 136.00 ## 182 0 0 347470 7.8542 S 134.00 ## 183 0 0 A/5 21172 7.2500 S 130.00 ## 184 0 0 349219 7.8958 S 135.00 ## 185 8 2 CA. 2343 69.5500 S NA ## 186 0 0 345364 6.2375 S 169.00 ## 187 1 1 363291 20.5250 S 139.00 ## 188 2 0 367226 23.2500 Q NA ## 189 2 0 345764 18.0000 S 124.00 ## 190 0 0 349225 7.8958 S NA ## 191 0 0 7598 8.0500 S 153.00 ## 192 1 0 386525 16.1000 S NA ## 193 1 1 C.A. 37671 15.9000 S 111.00 ## 194 0 0 315088 8.6625 S 150.00 ## 195 0 0 7267 9.2250 S 131.00 ## 196 1 1 2695 7.2292 C 123.00 ## 197 1 0 349237 17.8000 S 133.00 ## 198 0 0 2647 7.2250 C NA ## 199 0 0 345783 9.5000 S 136.00 ## 200 0 0 330931 7.8792 Q NA ## 201 0 0 330980 7.8792 Q NA ## 202 1 4 347088 27.9000 S 148.00 ## 203 0 1 2691 14.4542 C 153.00 ## 204 0 0 SOTON/O.Q. 3101310 7.0500 S 143.00 ## 205 1 0 370365 15.5000 Q NA ## 206 0 0 C 7076 7.2500 S 138.00 ## 207 0 0 2626 7.2292 C NA ## 208 0 0 14313 7.7500 Q NA ## 209 1 0 3101267 6.4958 S 126.00 ## 210 0 0 323951 8.0500 S 127.00 ## 211 3 1 349909 21.0750 S 111.00 ## 212 0 0 C 7077 7.2500 S 130.00 ## 213 0 0 2648 4.0125 C 128.00 ## 214 0 0 347069 7.7750 S 127.00 ## 215 0 2 2653 15.7417 C 109.00 ## 216 0 0 STON/O 2. 3101293 7.9250 S 140.00 ## 217 0 0 349227 7.8958 S NA ## 218 5 2 CA 2144 46.9000 S 109.00 ## 219 0 0 367655 7.7292 Q NA ## 220 0 0 350034 7.7958 S 129.00 ## 221 2 0 3101277 7.9250 S 136.00 ## 222 0 2 PP 9549 16.7000 G6 S 132.00 ## 223 0 0 350052 7.7958 S 130.00 ## 224 0 0 350407 7.8542 S 139.00 ## 225 0 0 STON/O 2. 3101289 7.9250 S 147.00 ## 226 0 0 341826 8.0500 S 134.00 ## 227 1 0 4137 9.8250 S 129.00 ## 228 1 0 STON/O2. 3101279 15.8500 S 136.00 ## 229 0 0 315096 8.6625 S 128.00 ## 230 0 0 347064 7.7500 S 159.00 ## 231 0 0 312992 7.7750 S 129.00 ## 232 3 1 4133 25.4667 S NA ## 233 0 0 349222 7.8958 S NA ## 234 0 0 394140 6.8583 Q NA ## 235 0 0 STON/O 2. 3101269 7.9250 S 152.00 ## 236 0 0 343095 8.0500 S NA ## 237 0 2 345773 24.1500 S 118.00 ## 238 0 0 349254 7.8958 C NA ## 239 0 0 A/5. 13032 7.7333 Q 129.00 ## 240 0 0 315082 7.8750 S 137.00 ## 241 1 1 347080 14.4000 S 136.00 ## 242 1 1 370129 20.2125 S 126.00 ## 243 0 0 A/4. 34244 7.2500 S NA ## 244 0 0 364851 7.7500 Q NA ## 245 0 0 SOTON/O.Q. 392078 8.0500 E10 S 140.00 ## 246 1 0 376564 16.1000 S NA ## 247 0 0 STON/O 2. 3101274 7.1250 S 125.00 ## 248 2 2 W./C. 6608 34.3750 S 129.00 ## 249 0 0 345769 9.5000 S 128.00 ## 250 1 0 347076 7.7750 S 133.00 ## 251 0 0 65306 8.1125 S NA ## 252 2 1 2666 19.2583 C 113.00 ## 253 1 0 65303 19.9667 S NA ## 254 0 0 A/5 2817 8.0500 S NA ## 255 0 0 349240 7.8958 C 137.00 ## 256 0 0 371060 7.7500 Q NA ## 257 0 0 364506 8.0500 S 142.00 ## 258 0 0 A/S 2816 8.0500 S NA ## 259 0 0 SOTON/O.Q. 3101306 7.0500 S 146.00 ## 260 0 0 36209 7.7250 Q NA ## 261 2 1 2666 19.2583 C 108.75 ## 262 0 0 323592 7.2500 S NA ## 263 0 0 315089 8.6625 S 146.00 ## 264 0 0 7553 9.8375 S 130.00 ## 265 1 0 3460 7.0458 S 137.00 ## 266 0 0 350060 7.5208 S 130.00 ## 267 0 1 3101298 12.2875 S 110.00 ## 268 5 2 CA 2144 46.9000 S 117.00 ## 269 0 0 A/5 3594 8.0500 S 158.00 ## 270 0 0 4134 9.5875 S 171.00 ## 271 3 1 4133 25.4667 S NA ## 272 0 0 A.5. 18509 8.0500 S 138.00 ## 273 1 1 C.A. 37671 15.9000 S 117.00 ## 274 1 0 65304 19.9667 S NA ## 275 0 0 SOTON/OQ 3101317 7.2500 S 129.00 ## 276 0 0 A/4 45380 8.0500 S 129.00 ## 277 0 0 2627 14.4583 C NA ## 278 0 0 C.A. 6212 15.1000 S NA ## 279 0 0 350035 7.7958 S 132.00 ## 280 0 0 315086 8.6625 S 125.00 ## 281 0 0 364846 7.7500 Q 129.00 ## 282 0 0 330909 7.6292 Q NA ## 283 0 0 4135 9.5875 S 145.00 ## 284 0 0 C 4001 22.5250 S 136.00 ## 285 0 0 1601 56.4958 S 134.00 ## 286 0 0 382651 7.7500 Q 137.00 ## 287 0 0 SOTON/OQ 3101316 8.0500 S NA ## 288 0 0 349209 7.4958 S 132.00 ## 289 0 0 371110 24.1500 Q NA ## 290 0 0 349242 7.8958 S 140.00 ## 291 0 0 349252 7.8958 S 130.00 ## 292 0 0 2624 7.2250 C NA ## 293 0 0 2700 7.2292 C NA ## 294 0 0 367232 7.7500 Q 148.50 ## 295 0 0 3101296 7.9250 S 147.00 ## 296 0 0 2641 7.2292 C NA ## 297 1 1 2690 7.2292 C 125.00 ## 298 0 2 2668 22.3583 C NA ## 299 0 0 315084 8.6625 S 138.00 ## 300 0 0 364498 14.5000 S NA ## 301 4 2 347082 31.2750 S 117.00 ## 302 4 2 347082 31.2750 S 119.00 ## 303 1 1 363291 20.5250 S 141.00 ## 304 0 0 330979 7.8292 Q NA ## 305 0 0 2620 7.2250 C 130.00 ## 306 0 0 347085 7.7750 S 130.00 ## 307 1 0 345572 17.4000 S 144.00 ## 308 0 0 372622 7.7500 Q NA ## 309 0 0 349251 7.8958 S 148.00 ## 310 0 0 SOTON/OQ 392082 8.0500 S NA ## 311 0 0 SOTON/O.Q. 392087 8.0500 S NA ## 312 2 0 A/4 48871 24.1500 S 132.00 ## 313 0 0 349205 7.8958 S 127.00 ## 314 0 4 349909 21.0750 S 137.00 ## 315 0 0 2686 7.2292 C NA ## 316 0 0 350417 7.8542 S 140.00 ## 317 0 0 14312 7.7500 Q NA ## 318 0 0 A/4. 20589 8.0500 S 124.00 ## 319 0 0 358585 14.5000 S 127.00 ## 320 1 0 2689 14.4583 C NA ## 321 0 0 STON/O 2. 3101286 7.9250 S 140.00 ## 322 0 0 3411 8.7125 C NA ## 323 0 0 14973 8.0500 S 130.00 ## 324 0 0 A./5. 3235 8.0500 S NA ## 325 0 0 STON/O 2. 3101273 7.1250 S 143.00 ## 326 0 0 A/5 3902 7.2500 S 155.00 ## 327 0 2 364848 7.7500 Q NA ## 328 1 1 345773 24.1500 S 144.00 ## 329 0 0 LINE 0.0000 S 157.00 ## 330 0 0 2664 7.2250 C NA ## 331 0 0 349214 7.8958 S NA ## 332 0 0 364511 8.0500 S 152.00 ## 333 1 0 349910 15.5500 S 144.00 ## 334 0 0 349246 7.8958 S 138.00 ## 335 1 5 347082 31.2750 S 147.00 ## 336 0 0 SOTON/O.Q. 3101305 7.0500 S NA ## 337 1 0 367230 15.5000 Q NA ## 338 0 0 370377 7.7500 Q NA ## 339 0 0 364512 8.0500 S 143.00 ## 340 1 1 347080 14.4000 S 142.00 ## 341 1 0 A/5. 3336 16.1000 S 134.00 ## 342 1 0 2659 14.4542 C 135.00 ## 343 1 1 2653 15.7417 C 128.00 ## 344 0 0 350029 7.8542 S 129.00 ## 345 0 0 54636 16.1000 S 129.00 ## 346 0 0 349224 7.8958 S 134.00 ## 347 0 0 334912 7.7333 Q NA ## 348 0 0 347743 7.0542 S 159.00 ## 349 3 2 347088 27.9000 S 117.00 ## 350 0 0 STON/O 2. 3101292 7.9250 S 140.00 ## 351 0 5 3101295 39.6875 S 149.00 ## 352 1 0 376564 16.1000 S NA ## 353 0 0 350050 7.8542 S 128.00 ## 354 3 2 347088 27.9000 S 110.00 ## 355 0 0 1601 56.4958 S NA ## 356 2 1 2666 19.2583 C 108.75 ## 357 0 0 349231 7.8958 S 127.00 ## 358 0 0 S.O./P.P. 751 7.5500 S NA ## 359 0 0 CA. 2314 7.5500 S 131.00 ## 360 0 0 349221 7.8958 S NA ## 361 0 0 8475 8.4333 S 129.00 ## 362 0 0 330919 7.8292 Q NA ## 363 0 0 365226 6.7500 Q 126.00 ## 364 0 0 349223 7.8958 S NA ## 365 1 1 364849 15.5000 Q 140.00 ## 366 0 0 2623 7.2250 C 148.00 ## 367 0 0 349210 7.4958 S 144.00 ## 368 1 0 STON/O 2. 3101285 7.9250 S 128.00 ## 369 0 0 312993 7.7750 S NA ## 370 0 0 A/5 3536 8.0500 S 151.00 ## 371 0 0 349912 7.7750 S 126.00 ## 372 0 0 342826 8.0500 S 132.50 ## 373 0 0 4138 9.8417 S 126.00 ## 374 1 6 CA 2144 46.9000 S 151.00 ## 375 0 0 330935 8.1375 Q NA ## 376 0 0 6563 9.2250 S 128.00 ## 377 5 2 CA 2144 46.9000 S 122.00 ## 378 4 1 3101295 39.6875 S 122.00 ## 379 0 0 349228 10.1708 S 127.00 ## 380 0 0 350036 7.7958 S 126.00 ## 381 0 1 349256 13.4167 C 112.00 ## 382 0 0 1601 56.4958 S NA ## 383 0 0 2672 7.2250 C 133.00 ## 384 0 0 363592 8.0500 S 152.00 ## 385 0 0 35852 7.7333 Q NA ## 386 0 0 348121 7.6500 F G63 S 150.00 ## 387 0 1 2691 14.4542 C 126.00 ## 388 0 0 36864 7.7417 Q 133.00 ## 389 1 0 350025 7.8542 S 134.00 ## 390 1 1 2661 15.2458 C NA ## 391 0 0 7545 9.4833 S 137.00 ## 392 0 0 348124 7.6500 F G73 S 127.00 ## 393 0 0 36568 15.5000 Q NA ## 394 0 0 347062 7.7750 S 141.00 ## 395 1 0 350048 7.0542 S 125.00 ## 396 0 0 315094 8.6625 S 128.00 ## 397 0 0 36866 7.7375 Q NA ## 398 1 0 STON/O2. 3101271 7.9250 S 133.00 ## 399 0 0 2699 18.7875 C 119.00 ## 400 0 0 54636 16.1000 S 136.50 ## 401 1 3 W./C. 6608 34.3750 S 156.00 ## 402 0 0 349201 7.8958 S NA ## 403 0 0 349218 7.8958 S NA ## 404 1 0 376566 16.1000 S 132.00 ## 405 0 0 STON/O 2. 3101288 7.9250 S 139.00 ## 406 1 1 C.A. 2673 20.2500 S 124.00 ## 407 0 0 335097 7.7500 Q 139.00 ## 408 0 1 392096 12.4750 E121 S 114.00 ## 409 0 0 345780 9.5000 S 141.00 ## 410 0 0 349204 7.8958 S 131.00 ## 411 0 0 350042 7.7958 S 136.00 ## 412 0 0 363294 8.0500 S 142.00 ## 413 0 0 358585 14.5000 S NA ## 414 0 0 SOTON/O2 3101272 7.1250 S 149.00 ## 415 0 0 2663 7.2292 C 128.00 ## 416 0 0 347074 7.7750 S 124.00 ## 417 0 0 364850 7.7500 Q 138.50 ## 418 1 0 371110 24.1500 Q NA ## 419 0 0 8471 8.3625 S 140.00 ## 420 0 0 345781 9.5000 S 132.00 ## 421 0 0 350047 7.8542 S 156.00 ## 422 0 0 2674 7.2250 C NA ## 423 0 0 347078 7.7500 S 126.00 ## 424 0 0 383121 7.7500 F38 Q NA ## 425 0 0 364516 12.4750 S 113.00 ## 426 0 0 36865 7.7375 Q NA ## 427 0 0 2687 7.2292 C 121.00 ## 428 1 2 W./C. 6607 23.4500 S NA ## 429 0 0 SOTON/O.Q. 3101312 7.0500 S 133.00 ## 430 0 0 374887 7.2500 S 133.00 ## 431 0 0 3101265 7.4958 S 126.00 ## 432 4 1 382652 29.1250 Q 116.00 ## 433 1 2 C.A. 2315 20.5750 S 109.00 ## 434 0 0 12460 7.7500 Q NA ## 435 8 2 CA. 2343 69.5500 S NA ## 436 0 0 349203 7.8958 S 133.00 ## 437 0 0 349244 8.6833 S 139.00 ## 438 0 0 2685 7.2292 C 138.00 ## 439 1 1 345773 24.1500 S 138.00 ## 440 0 1 2625 8.5167 C 108.42 ## 441 0 0 347089 6.9750 S 135.00 ## 442 0 0 347063 7.7750 S 139.00 ## 443 0 0 347087 7.7750 S 126.00 ## 444 0 0 3474 7.8875 S 134.00 ## 445 0 0 A/4 48871 24.1500 S 147.00 ## 446 4 2 347082 31.2750 S 114.00 ## 447 0 0 364499 8.0500 S 138.50 ## 448 0 0 STON/O2. 3101290 7.9250 S 131.00 ## 449 0 0 C 7075 6.4500 S 151.00 ## 450 3 2 347088 27.9000 S 118.00 ## 451 0 0 315098 8.6625 S 135.00 ## 452 0 1 392096 12.4750 E121 S 135.00 ## 453 4 1 3101295 39.6875 S 110.00 ## 454 0 0 368323 6.9500 Q NA ## 455 0 0 1601 56.4958 S NA ## 456 0 0 367228 7.7500 Q NA ## 457 1 0 2659 14.4542 C 123.00 ## 458 0 0 2671 7.2292 C NA ## 459 0 0 347468 7.8542 S 131.00 ## 460 0 0 2223 8.3000 S 126.00 ## 461 0 0 315097 8.6625 S 129.00 ## 462 0 0 392092 8.0500 S NA ## 463 0 0 1601 56.4958 S 140.00 ## 464 0 0 SOTON/O2 3101287 7.9250 S 128.00 ## 465 0 0 2683 6.4375 C 142.50 ## 466 0 0 315090 8.6625 S 125.00 ## 467 0 0 C.A. 5547 7.5500 S 150.00 ## 468 8 2 CA. 2343 69.5500 S NA ## 469 0 0 349213 7.8958 C 143.00 ## 470 4 2 347082 31.2750 S 112.00 ## 471 0 0 347060 7.7750 S 182.00 ## 472 1 1 2678 15.2458 C 117.00 ## 473 0 1 392091 9.3500 S 126.00 ## 474 0 3 2666 19.2583 C 132.00 ## 475 0 0 2629 7.2292 C NA ## 476 2 0 350026 14.1083 S 149.00 ## 477 8 2 CA. 2343 69.5500 S NA ## 478 0 0 345777 9.5000 S NA ## 479 1 1 347742 11.1333 S 112.00 ## 480 0 0 349248 7.8958 S 134.00 ## 481 0 0 345765 9.0000 S 155.00 ## 482 0 0 2667 7.2250 C 123.00 ## 483 0 0 7534 9.8458 S 128.00 ## 484 0 0 349212 7.8958 S 127.00 ## 485 0 0 349217 7.8958 S NA ## 486 0 0 349257 7.8958 S 141.00 ## 487 0 0 7552 10.5167 S 130.00 ## 488 0 0 SOTON/OQ 392076 7.0500 S 133.00 ## 489 0 5 382652 29.1250 Q 147.00 ## 490 1 2 W./C. 6607 23.4500 S NA ## 491 0 0 370376 7.7500 Q 140.00 ``` --- ## filter Note 1: We wrote "3" in quotes because it is a factor variable not a numeric variable. Note 2: Why is it == instead of =? It is a logical statement. We are basically saying filter (keep) rows if Pclass equals to "3". --- ## Relational operators in R <table> <th> Operator </th> <th> Description </th> <tr> <td> == </td> <td> Equals to </td></tr> <tr> <td> !=</td> <td> Not equal to</td></tr> <tr> <td> <</td> <td> Less than</tr> <tr> <td> ></td> <td> Greater than</tr> <tr> <td> &</td> <td> And</tr> <tr> <td> |</td> <td> Or</tr> </table> --- ## Practice - Make a data frame that has `Survived` and `Pclass` only. - Make a data frame that has only `Fare`, and `Age` of all Survivors. - Make a data frame that does not have `Fare` and `Age` of all Survivors. - Make a data frame that has `Fare` and `Age` of passengers in second and third class. --- ## case_when() You might notice that `Embarked` variable is a little bir problematic. It is really difficult to understand what the levels C, Q, S represent. ``` ## Factor w/ 4 levels "","C","Q","S": 4 2 4 4 4 3 4 4 4 2 ... ``` "C" should be Cherbourg "Q" should be Queenstown "S" should be Southampton " " should be NA --- ## case_when() ```r titanic %>% mutate(Embarked = case_when( Embarked == "C" ~ "Cherbourg", Embarked == "Q" ~ "Queenstown", Embarked == "S" ~ "Southampton") ) ``` --- ## Counting Data `count()` is useful when counting the number of cases (sample size) for each level of a factor. ```r count(titanic, Survived) ``` ``` ## # A tibble: 2 x 2 ## Survived n ## <lgl> <int> ## 1 FALSE 549 ## 2 TRUE 342 ``` ```r titanic %>% count(Survived) ``` ``` ## # A tibble: 2 x 2 ## Survived n ## <lgl> <int> ## 1 FALSE 549 ## 2 TRUE 342 ``` --- ## Counting Data Instead of a count can I get a percentage? Yes. you may. ```r titanic %>% count(Survived) %>% mutate(prop = n/sum(n)) ``` ``` ## # A tibble: 2 x 3 ## Survived n prop ## <lgl> <int> <dbl> ## 1 FALSE 549 0.616 ## 2 TRUE 342 0.384 ``` --- ## Counting Data `count()` can take multiple variables. ```r titanic %>% count(Survived, Pclass) ``` ``` ## # A tibble: 6 x 3 ## Survived Pclass n ## <lgl> <fct> <int> ## 1 FALSE 1 80 ## 2 FALSE 2 97 ## 3 FALSE 3 372 ## 4 TRUE 1 136 ## 5 TRUE 2 87 ## 6 TRUE 3 119 ``` --- ## Summarizing Data `summarize()` function along with other statistical functions such as `mean()`, `sd()`, `var()`, etc are useful for summarizing numeric data. ```r titanic %>% summarize(mean(Fare)) ``` ``` ## mean(Fare) ## 1 32.20421 ``` --- ## Summarizing Data Try to summarize the mean Age. You should get. ``` ## mean(Age) ## 1 NA ``` --- ## Missing Data Most other statistical software would delete missing values and return mean based on complete cases. However, this approach may introduce bias to the estimates. As a researcher you may think that there is no bias and delete the missing values, however, R would not do this for you. --- ## Missing Data ```r titanic %>% summarize(mean(Age, na.rm = TRUE)) ``` ``` ## mean(Age, na.rm = TRUE) ## 1 29.69912 ``` `na.rm` stands for remove NA values. Note that this argument is inside the mean function and not the summarize function! --- ## Summarizing Data ```r titanic %>% summarize(mean(Fare), sd(Fare), var(Fare), min(Fare), max(Fare), n()) ``` ``` ## mean(Fare) sd(Fare) var(Fare) min(Fare) max(Fare) n() ## 1 32.20421 49.69343 2469.437 0 512.3292 891 ``` --- ## Summarizing Data for groups Imagine that you want to calculate `mean(Fare)`, `sd(Fare)` separately for those who Survived and those who did not. Imagine doing this calculating by hand not in R. The steps would be 1. Take the data frame 2. Split passengers as survivors and nonsurvivors into two groups. In other words, group based on `Survived`. In R words `group_by(Survived)`. 3. Calculate any descriptives. --- ## Summarizing Data for groups ```r titanic %>% group_by(Survived) %>% summarize(mean(Fare), sd(Fare)) ``` ``` ## # A tibble: 2 x 3 ## Survived `mean(Fare)` `sd(Fare)` ## <lgl> <dbl> <dbl> ## 1 FALSE 22.1 31.4 ## 2 TRUE 48.4 66.6 ``` --- ## Summarizing Data for groups We can even create variable names so that the summary table looks even nicer! ```r titanic %>% group_by(Survived) %>% summarize(mean_fare = mean(Fare), sd_fare = sd(Fare)) ``` ``` ## # A tibble: 2 x 3 ## Survived mean_fare sd_fare ## <lgl> <dbl> <dbl> ## 1 FALSE 22.1 31.4 ## 2 TRUE 48.4 66.6 ``` --- ## New Data ```r glimpse(gapminder) ``` ``` ## Observations: 1,704 ## Variables: 6 ## $ country <fct> Afghanistan, Afghanistan, Afghanistan, Afghanistan, ... ## $ continent <fct> Asia, Asia, Asia, Asia, Asia, Asia, Asia, Asia, Asia... ## $ year <int> 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992... ## $ lifeExp <dbl> 28.801, 30.332, 31.997, 34.020, 36.088, 38.438, 39.8... ## $ pop <int> 8425333, 9240934, 10267083, 11537966, 13079460, 1488... ## $ gdpPercap <dbl> 779.4453, 820.8530, 853.1007, 836.1971, 739.9811, 78... ``` --- ## Practice - How many countries are represented in the dataset? --- ## Practice Arrive at the following plot. Note that the object is a geom_object(). <img src="3-wrangling_files/figure-html/unnamed-chunk-29-1.png" style="display: block; margin: auto;" /> --- ## Practice When is the lowest lifeExp recorded and where? When is the lowest lifeExp recorded and where? --- ## Reshaping Data In this data a country (id) is observed repeatedly over the years. The data is in long format. Those who work with repeated measures data may need to convert it wide format. <table> <tr> <td> pivot_wider()</td> <td> reshape from long data to wide data</td> </tr> <tr> <td> pivot_longer()</td> <td> reshape from wide data to long data</td> </tr> </table> --- ## pivot_wider() ```r gapminder %>% pivot_wider(id_cols = country, names_from = year, values_from = lifeExp) ``` ``` ## # A tibble: 142 x 13 ## country `1952` `1957` `1962` `1967` `1972` `1977` `1982` `1987` `1992` ## <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 Afghan~ 28.8 30.3 32.0 34.0 36.1 38.4 39.9 40.8 41.7 ## 2 Albania 55.2 59.3 64.8 66.2 67.7 68.9 70.4 72 71.6 ## 3 Algeria 43.1 45.7 48.3 51.4 54.5 58.0 61.4 65.8 67.7 ## 4 Angola 30.0 32.0 34 36.0 37.9 39.5 39.9 39.9 40.6 ## 5 Argent~ 62.5 64.4 65.1 65.6 67.1 68.5 69.9 70.8 71.9 ## 6 Austra~ 69.1 70.3 70.9 71.1 71.9 73.5 74.7 76.3 77.6 ## 7 Austria 66.8 67.5 69.5 70.1 70.6 72.2 73.2 74.9 76.0 ## 8 Bahrain 50.9 53.8 56.9 59.9 63.3 65.6 69.1 70.8 72.6 ## 9 Bangla~ 37.5 39.3 41.2 43.5 45.3 46.9 50.0 52.8 56.0 ## 10 Belgium 68 69.2 70.2 70.9 71.4 72.8 73.9 75.4 76.5 ## # ... with 132 more rows, and 3 more variables: `1997` <dbl>, ## # `2002` <dbl>, `2007` <dbl> ``` ## Summary - Working with Data Frames select() filter() pivot_longer() pivot_wider() group_by() ## Summary - Working with Variables mutate() with aid of other functions case_when with relational operators rename() summarize(mean()) count() --- class: middle ## Not-so-Fun Fact [Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says](https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-time-consuming-least-enjoyable-data-science-task-survey-says/#6ae5b6b36f63) --- ## During Lunch - Make sure you have R and RStudio on your computers. We will not be using the Cloud anymore. Mary and I are here to help. - Open RStudio on your computer and run the following code in your Console. We will talk what the code does later. ```r install.packages("tidyverse") ``` --- ## Schedule for the Day __08:45 - 09:00 Introduction__ __09:00 - 09:15 Getting to Know the Basics__ __09:15 - 10:15 Data Visualization__ __10:15 - 10:30 Break__ __10:30 - 12:00 Data Wrangling__ 12:00 - 01:00 Lunch 01:00 - 01:30 Working Locally With R 01:30 - 02:00 Dealing with Datasets 02:00 - 02:30 Case Study 02:30 - 02:45 Break 02:45 - 03:30 Modeling 03:30 - 04:00 Everything I did not have time to cover