Project 3_Individual
Alviya Hussain
2024-04-13
R Markdown
library(readr)
T3 <- read.csv("https://gist.githubusercontent.com/robertness/0374e73fa396e2fc3c4f/raw/c23566973e82dba895d82d0693ced633862dcd22/titanic3.csv")
T3## pclass survived
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## name
## 1 Allen, Miss. Elisabeth Walton
## 2 Allison, Master. Hudson Trevor
## 3 Allison, Miss. Helen Loraine
## 4 Allison, Mr. Hudson Joshua Creighton
## 5 Allison, Mrs. Hudson J C (Bessie Waldo Daniels)
## 6 Anderson, Mr. Harry
## 7 Andrews, Miss. Kornelia Theodosia
## 8 Andrews, Mr. Thomas Jr
## 9 Appleton, Mrs. Edward Dale (Charlotte Lamson)
## 10 Artagaveytia, Mr. Ramon
## 11 Astor, Col. John Jacob
## 12 Astor, Mrs. John Jacob (Madeleine Talmadge Force)
## 13 Aubart, Mme. Leontine Pauline
## 14 Barber, Miss. Ellen "Nellie"
## 15 Barkworth, Mr. Algernon Henry Wilson
## 16 Baumann, Mr. John D
## 17 Baxter, Mr. Quigg Edmond
## 18 Baxter, Mrs. James (Helene DeLaudeniere Chaput)
## 19 Bazzani, Miss. Albina
## 20 Beattie, Mr. Thomson
## 21 Beckwith, Mr. Richard Leonard
## 22 Beckwith, Mrs. Richard Leonard (Sallie Monypeny)
## 23 Behr, Mr. Karl Howell
## 24 Bidois, Miss. Rosalie
## 25 Bird, Miss. Ellen
## 26 Birnbaum, Mr. Jakob
## 27 Bishop, Mr. Dickinson H
## 28 Bishop, Mrs. Dickinson H (Helen Walton)
## 29 Bissette, Miss. Amelia
## 30 Bjornstrom-Steffansson, Mr. Mauritz Hakan
## 31 Blackwell, Mr. Stephen Weart
## 32 Blank, Mr. Henry
## 33 Bonnell, Miss. Caroline
## 34 Bonnell, Miss. Elizabeth
## 35 Borebank, Mr. John James
## 36 Bowen, Miss. Grace Scott
## 37 Bowerman, Miss. Elsie Edith
## 38 Bradley, Mr. George ("George Arthur Brayton")
## 39 Brady, Mr. John Bertram
## 40 Brandeis, Mr. Emil
## 41 Brewe, Dr. Arthur Jackson
## 42 Brown, Mrs. James Joseph (Margaret Tobin)
## 43 Brown, Mrs. John Murray (Caroline Lane Lamson)
## 44 Bucknell, Mrs. William Robert (Emma Eliza Ward)
## 45 Burns, Miss. Elizabeth Margaret
## 46 Butt, Major. Archibald Willingham
## 47 Cairns, Mr. Alexander
## 48 Calderhead, Mr. Edward Pennington
## 49 Candee, Mrs. Edward (Helen Churchill Hungerford)
## 50 Cardeza, Mr. Thomas Drake Martinez
## 51 Cardeza, Mrs. James Warburton Martinez (Charlotte Wardle Drake)
## 52 Carlsson, Mr. Frans Olof
## 53 Carrau, Mr. Francisco M
## 54 Carrau, Mr. Jose Pedro
## 55 Carter, Master. William Thornton II
## 56 Carter, Miss. Lucile Polk
## 57 Carter, Mr. William Ernest
## 58 Carter, Mrs. William Ernest (Lucile Polk)
## 59 Case, Mr. Howard Brown
## 60 Cassebeer, Mrs. Henry Arthur Jr (Eleanor Genevieve Fosdick)
## 61 Cavendish, Mr. Tyrell William
## 62 Cavendish, Mrs. Tyrell William (Julia Florence Siegel)
## 63 Chaffee, Mr. Herbert Fuller
## 64 Chaffee, Mrs. Herbert Fuller (Carrie Constance Toogood)
## 65 Chambers, Mr. Norman Campbell
## 66 Chambers, Mrs. Norman Campbell (Bertha Griggs)
## 67 Chaudanson, Miss. Victorine
## 68 Cherry, Miss. Gladys
## 69 Chevre, Mr. Paul Romaine
## 70 Chibnall, Mrs. (Edith Martha Bowerman)
## 71 Chisholm, Mr. Roderick Robert Crispin
## 72 Clark, Mr. Walter Miller
## 73 Clark, Mrs. Walter Miller (Virginia McDowell)
## 74 Cleaver, Miss. Alice
## 75 Clifford, Mr. George Quincy
## 76 Colley, Mr. Edward Pomeroy
## 77 Compton, Miss. Sara Rebecca
## 78 Compton, Mr. Alexander Taylor Jr
## 79 Compton, Mrs. Alexander Taylor (Mary Eliza Ingersoll)
## 80 Cornell, Mrs. Robert Clifford (Malvina Helen Lamson)
## 81 Crafton, Mr. John Bertram
## 82 Crosby, Capt. Edward Gifford
## 83 Crosby, Miss. Harriet R
## 84 Crosby, Mrs. Edward Gifford (Catherine Elizabeth Halstead)
## 85 Cumings, Mr. John Bradley
## 86 Cumings, Mrs. John Bradley (Florence Briggs Thayer)
## 87 Daly, Mr. Peter Denis
## 88 Daniel, Mr. Robert Williams
## 89 Daniels, Miss. Sarah
## 90 Davidson, Mr. Thornton
## 91 Davidson, Mrs. Thornton (Orian Hays)
## 92 Dick, Mr. Albert Adrian
## 93 Dick, Mrs. Albert Adrian (Vera Gillespie)
## 94 Dodge, Dr. Washington
## 95 Dodge, Master. Washington
## 96 Dodge, Mrs. Washington (Ruth Vidaver)
## 97 Douglas, Mr. Walter Donald
## 98 Douglas, Mrs. Frederick Charles (Mary Helene Baxter)
## 99 Douglas, Mrs. Walter Donald (Mahala Dutton)
## 100 Duff Gordon, Lady. (Lucille Christiana Sutherland) ("Mrs Morgan")
## 101 Duff Gordon, Sir. Cosmo Edmund ("Mr Morgan")
## 102 Dulles, Mr. William Crothers
## 103 Earnshaw, Mrs. Boulton (Olive Potter)
## 104 Endres, Miss. Caroline Louise
## 105 Eustis, Miss. Elizabeth Mussey
## 106 Evans, Miss. Edith Corse
## 107 Farthing, Mr. John
## 108 Flegenheim, Mrs. Alfred (Antoinette)
## 109 Fleming, Miss. Margaret
## 110 Flynn, Mr. John Irwin ("Irving")
## 111 Foreman, Mr. Benjamin Laventall
## 112 Fortune, Miss. Alice Elizabeth
## 113 Fortune, Miss. Ethel Flora
## 114 Fortune, Miss. Mabel Helen
## 115 Fortune, Mr. Charles Alexander
## 116 Fortune, Mr. Mark
## 117 Fortune, Mrs. Mark (Mary McDougald)
## 118 Francatelli, Miss. Laura Mabel
## 119 Franklin, Mr. Thomas Parham
## 120 Frauenthal, Dr. Henry William
## 121 Frauenthal, Mr. Isaac Gerald
## 122 Frauenthal, Mrs. Henry William (Clara Heinsheimer)
## 123 Frolicher, Miss. Hedwig Margaritha
## 124 Frolicher-Stehli, Mr. Maxmillian
## 125 Frolicher-Stehli, Mrs. Maxmillian (Margaretha Emerentia Stehli)
## 126 Fry, Mr. Richard
## 127 Futrelle, Mr. Jacques Heath
## 128 Futrelle, Mrs. Jacques Heath (Lily May Peel)
## 129 Gee, Mr. Arthur H
## 130 Geiger, Miss. Amalie
## 131 Gibson, Miss. Dorothy Winifred
## 132 Gibson, Mrs. Leonard (Pauline C Boeson)
## 133 Giglio, Mr. Victor
## 134 Goldenberg, Mr. Samuel L
## 135 Goldenberg, Mrs. Samuel L (Edwiga Grabowska)
## 136 Goldschmidt, Mr. George B
## 137 Gracie, Col. Archibald IV
## 138 Graham, Miss. Margaret Edith
## 139 Graham, Mr. George Edward
## 140 Graham, Mrs. William Thompson (Edith Junkins)
## 141 Greenfield, Mr. William Bertram
## 142 Greenfield, Mrs. Leo David (Blanche Strouse)
## 143 Guggenheim, Mr. Benjamin
## 144 Harder, Mr. George Achilles
## 145 Harder, Mrs. George Achilles (Dorothy Annan)
## 146 Harper, Mr. Henry Sleeper
## 147 Harper, Mrs. Henry Sleeper (Myna Haxtun)
## 148 Harrington, Mr. Charles H
## 149 Harris, Mr. Henry Birkhardt
## 150 Harris, Mrs. Henry Birkhardt (Irene Wallach)
## 151 Harrison, Mr. William
## 152 Hassab, Mr. Hammad
## 153 Hawksford, Mr. Walter James
## 154 Hays, Miss. Margaret Bechstein
## 155 Hays, Mr. Charles Melville
## 156 Hays, Mrs. Charles Melville (Clara Jennings Gregg)
## 157 Head, Mr. Christopher
## 158 Hilliard, Mr. Herbert Henry
## 159 Hipkins, Mr. William Edward
## 160 Hippach, Miss. Jean Gertrude
## 161 Hippach, Mrs. Louis Albert (Ida Sophia Fischer)
## 162 Hogeboom, Mrs. John C (Anna Andrews)
## 163 Holverson, Mr. Alexander Oskar
## 164 Holverson, Mrs. Alexander Oskar (Mary Aline Towner)
## 165 Homer, Mr. Harry ("Mr E Haven")
## 166 Hoyt, Mr. Frederick Maxfield
## 167 Hoyt, Mr. William Fisher
## 168 Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)
## 169 Icard, Miss. Amelie
## 170 Isham, Miss. Ann Elizabeth
## 171 Ismay, Mr. Joseph Bruce
## 172 Jones, Mr. Charles Cresson
## 173 Julian, Mr. Henry Forbes
## 174 Keeping, Mr. Edwin
## 175 Kent, Mr. Edward Austin
## 176 Kenyon, Mr. Frederick R
## 177 Kenyon, Mrs. Frederick R (Marion)
## 178 Kimball, Mr. Edwin Nelson Jr
## 179 Kimball, Mrs. Edwin Nelson Jr (Gertrude Parsons)
## 180 Klaber, Mr. Herman
## 181 Kreuchen, Miss. Emilie
## 182 Leader, Dr. Alice (Farnham)
## 183 LeRoy, Miss. Bertha
## 184 Lesurer, Mr. Gustave J
## 185 Lewy, Mr. Ervin G
## 186 Lindeberg-Lind, Mr. Erik Gustaf ("Mr Edward Lingrey")
## 187 Lindstrom, Mrs. Carl Johan (Sigrid Posse)
## 188 Lines, Miss. Mary Conover
## 189 Lines, Mrs. Ernest H (Elizabeth Lindsey James)
## 190 Long, Mr. Milton Clyde
## 191 Longley, Miss. Gretchen Fiske
## 192 Loring, Mr. Joseph Holland
## 193 Lurette, Miss. Elise
## 194 Madill, Miss. Georgette Alexandra
## 195 Maguire, Mr. John Edward
## 196 Maioni, Miss. Roberta
## 197 Marechal, Mr. Pierre
## 198 Marvin, Mr. Daniel Warner
## 199 Marvin, Mrs. Daniel Warner (Mary Graham Carmichael Farquarson)
## 200 Mayne, Mlle. Berthe Antonine ("Mrs de Villiers")
## 201 McCaffry, Mr. Thomas Francis
## 202 McCarthy, Mr. Timothy J
## 203 McGough, Mr. James Robert
## 204 Meyer, Mr. Edgar Joseph
## 205 Meyer, Mrs. Edgar Joseph (Leila Saks)
## 206 Millet, Mr. Francis Davis
## 207 Minahan, Dr. William Edward
## 208 Minahan, Miss. Daisy E
## 209 Minahan, Mrs. William Edward (Lillian E Thorpe)
## 210 Mock, Mr. Philipp Edmund
## 211 Molson, Mr. Harry Markland
## 212 Moore, Mr. Clarence Bloomfield
## 213 Natsch, Mr. Charles H
## 214 Newell, Miss. Madeleine
## 215 Newell, Miss. Marjorie
## 216 Newell, Mr. Arthur Webster
## 217 Newsom, Miss. Helen Monypeny
## 218 Nicholson, Mr. Arthur Ernest
## 219 Oliva y Ocana, Dona. Fermina
## 220 Omont, Mr. Alfred Fernand
## 221 Ostby, Miss. Helene Ragnhild
## 222 Ostby, Mr. Engelhart Cornelius
## 223 Ovies y Rodriguez, Mr. Servando
## 224 Parr, Mr. William Henry Marsh
## 225 Partner, Mr. Austen
## 226 Payne, Mr. Vivian Ponsonby
## 227 Pears, Mr. Thomas Clinton
## 228 Pears, Mrs. Thomas (Edith Wearne)
## 229 Penasco y Castellana, Mr. Victor de Satode
## 230 Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)
## 231 Perreault, Miss. Anne
## 232 Peuchen, Major. Arthur Godfrey
## 233 Porter, Mr. Walter Chamberlain
## 234 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)
## 235 Reuchlin, Jonkheer. John George
## 236 Rheims, Mr. George Alexander Lucien
## 237 Ringhini, Mr. Sante
## 238 Robbins, Mr. Victor
## 239 Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)
## 240 Roebling, Mr. Washington Augustus II
## 241 Romaine, Mr. Charles Hallace ("Mr C Rolmane")
## 242 Rood, Mr. Hugh Roscoe
## 243 Rosenbaum, Miss. Edith Louise
## 244 Rosenshine, Mr. George ("Mr George Thorne")
## 245 Ross, Mr. John Hugo
## 246 Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)
## 247 Rothschild, Mr. Martin
## 248 Rothschild, Mrs. Martin (Elizabeth L. Barrett)
## 249 Rowe, Mr. Alfred G
## 250 Ryerson, Master. John Borie
## 251 Ryerson, Miss. Emily Borie
## 252 Ryerson, Miss. Susan Parker "Suzette"
## 253 Ryerson, Mr. Arthur Larned
## 254 Ryerson, Mrs. Arthur Larned (Emily Maria Borie)
## 255 Saalfeld, Mr. Adolphe
## 256 Sagesser, Mlle. Emma
## 257 Salomon, Mr. Abraham L
## 258 Schabert, Mrs. Paul (Emma Mock)
## 259 Serepeca, Miss. Augusta
## 260 Seward, Mr. Frederic Kimber
## 261 Shutes, Miss. Elizabeth W
## 262 Silverthorne, Mr. Spencer Victor
## 263 Silvey, Mr. William Baird
## 264 Silvey, Mrs. William Baird (Alice Munger)
## 265 Simonius-Blumer, Col. Oberst Alfons
## 266 Sloper, Mr. William Thompson
## 267 Smart, Mr. John Montgomery
## 268 Smith, Mr. James Clinch
## 269 Smith, Mr. Lucien Philip
## 270 Smith, Mr. Richard William
## 271 Smith, Mrs. Lucien Philip (Mary Eloise Hughes)
## 272 Snyder, Mr. John Pillsbury
## 273 Snyder, Mrs. John Pillsbury (Nelle Stevenson)
## 274 Spedden, Master. Robert Douglas
## 275 Spedden, Mr. Frederic Oakley
## 276 Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)
## 277 Spencer, Mr. William Augustus
## 278 Spencer, Mrs. William Augustus (Marie Eugenie)
## 279 Stahelin-Maeglin, Dr. Max
## 280 Stead, Mr. William Thomas
## 281 Stengel, Mr. Charles Emil Henry
## 282 Stengel, Mrs. Charles Emil Henry (Annie May Morris)
## 283 Stephenson, Mrs. Walter Bertram (Martha Eustis)
## 284 Stewart, Mr. Albert A
## 285 Stone, Mrs. George Nelson (Martha Evelyn)
## 286 Straus, Mr. Isidor
## 287 Straus, Mrs. Isidor (Rosalie Ida Blun)
## 288 Sutton, Mr. Frederick
## 289 Swift, Mrs. Frederick Joel (Margaret Welles Barron)
## 290 Taussig, Miss. Ruth
## 291 Taussig, Mr. Emil
## 292 Taussig, Mrs. Emil (Tillie Mandelbaum)
## 293 Taylor, Mr. Elmer Zebley
## 294 Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)
## 295 Thayer, Mr. John Borland
## 296 Thayer, Mr. John Borland Jr
## 297 Thayer, Mrs. John Borland (Marian Longstreth Morris)
## 298 Thorne, Mrs. Gertrude Maybelle
## 299 Tucker, Mr. Gilbert Milligan Jr
## 300 Uruchurtu, Don. Manuel E
## 301 Van der hoef, Mr. Wyckoff
## 302 Walker, Mr. William Anderson
## 303 Ward, Miss. Anna
## 304 Warren, Mr. Frank Manley
## 305 Warren, Mrs. Frank Manley (Anna Sophia Atkinson)
## 306 Weir, Col. John
## 307 White, Mr. Percival Wayland
## 308 White, Mr. Richard Frasar
## 309 White, Mrs. John Stuart (Ella Holmes)
## 310 Wick, Miss. Mary Natalie
## 311 Wick, Mr. George Dennick
## 312 Wick, Mrs. George Dennick (Mary Hitchcock)
## 313 Widener, Mr. George Dunton
## 314 Widener, Mr. Harry Elkins
## 315 Widener, Mrs. George Dunton (Eleanor Elkins)
## 316 Willard, Miss. Constance
## 317 Williams, Mr. Charles Duane
## 318 Williams, Mr. Richard Norris II
## 319 Williams-Lambert, Mr. Fletcher Fellows
## 320 Wilson, Miss. Helen Alice
## 321 Woolner, Mr. Hugh
## 322 Wright, Mr. George
## 323 Young, Miss. Marie Grice
## 324 Abelson, Mr. Samuel
## 325 Abelson, Mrs. Samuel (Hannah Wizosky)
## 326 Aldworth, Mr. Charles Augustus
## 327 Andrew, Mr. Edgardo Samuel
## 328 Andrew, Mr. Frank Thomas
## 329 Angle, Mr. William A
## 330 Angle, Mrs. William A (Florence "Mary" Agnes Hughes)
## 331 Ashby, Mr. John
## 332 Bailey, Mr. Percy Andrew
## 333 Baimbrigge, Mr. Charles Robert
## 334 Ball, Mrs. (Ada E Hall)
## 335 Banfield, Mr. Frederick James
## 336 Bateman, Rev. Robert James
## 337 Beane, Mr. Edward
## 338 Beane, Mrs. Edward (Ethel Clarke)
## 339 Beauchamp, Mr. Henry James
## 340 Becker, Master. Richard F
## 341 Becker, Miss. Marion Louise
## 342 Becker, Miss. Ruth Elizabeth
## 343 Becker, Mrs. Allen Oliver (Nellie E Baumgardner)
## 344 Beesley, Mr. Lawrence
## 345 Bentham, Miss. Lilian W
## 346 Berriman, Mr. William John
## 347 Botsford, Mr. William Hull
## 348 Bowenur, Mr. Solomon
## 349 Bracken, Mr. James H
## 350 Brown, Miss. Amelia "Mildred"
## 351 Brown, Miss. Edith Eileen
## 352 Brown, Mr. Thomas William Solomon
## 353 Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)
## 354 Bryhl, Miss. Dagmar Jenny Ingeborg
## 355 Bryhl, Mr. Kurt Arnold Gottfrid
## 356 Buss, Miss. Kate
## 357 Butler, Mr. Reginald Fenton
## 358 Byles, Rev. Thomas Roussel Davids
## 359 Bystrom, Mrs. (Karolina)
## 360 Caldwell, Master. Alden Gates
## 361 Caldwell, Mr. Albert Francis
## 362 Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)
## 363 Cameron, Miss. Clear Annie
## 364 Campbell, Mr. William
## 365 Carbines, Mr. William
## 366 Carter, Mrs. Ernest Courtenay (Lilian Hughes)
## 367 Carter, Rev. Ernest Courtenay
## 368 Chapman, Mr. Charles Henry
## 369 Chapman, Mr. John Henry
## 370 Chapman, Mrs. John Henry (Sara Elizabeth Lawry)
## 371 Christy, Miss. Julie Rachel
## 372 Christy, Mrs. (Alice Frances)
## 373 Clarke, Mr. Charles Valentine
## 374 Clarke, Mrs. Charles V (Ada Maria Winfield)
## 375 Coleridge, Mr. Reginald Charles
## 376 Collander, Mr. Erik Gustaf
## 377 Collett, Mr. Sidney C Stuart
## 378 Collyer, Miss. Marjorie "Lottie"
## 379 Collyer, Mr. Harvey
## 380 Collyer, Mrs. Harvey (Charlotte Annie Tate)
## 381 Cook, Mrs. (Selena Rogers)
## 382 Corbett, Mrs. Walter H (Irene Colvin)
## 383 Corey, Mrs. Percy C (Mary Phyllis Elizabeth Miller)
## 384 Cotterill, Mr. Henry "Harry"
## 385 Cunningham, Mr. Alfred Fleming
## 386 Davies, Master. John Morgan Jr
## 387 Davies, Mr. Charles Henry
## 388 Davies, Mrs. John Morgan (Elizabeth Agnes Mary White)
## 389 Davis, Miss. Mary
## 390 de Brito, Mr. Jose Joaquim
## 391 Deacon, Mr. Percy William
## 392 del Carlo, Mr. Sebastiano
## 393 del Carlo, Mrs. Sebastiano (Argenia Genovesi)
## 394 Denbury, Mr. Herbert
## 395 Dibden, Mr. William
## 396 Doling, Miss. Elsie
## 397 Doling, Mrs. John T (Ada Julia Bone)
## 398 Downton, Mr. William James
## 399 Drew, Master. Marshall Brines
## 400 Drew, Mr. James Vivian
## 401 Drew, Mrs. James Vivian (Lulu Thorne Christian)
## 402 Duran y More, Miss. Asuncion
## 403 Duran y More, Miss. Florentina
## 404 Eitemiller, Mr. George Floyd
## 405 Enander, Mr. Ingvar
## 406 Fahlstrom, Mr. Arne Jonas
## 407 Faunthorpe, Mr. Harry
## 408 Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)
## 409 Fillbrook, Mr. Joseph Charles
## 410 Fox, Mr. Stanley Hubert
## 411 Frost, Mr. Anthony Wood "Archie"
## 412 Funk, Miss. Annie Clemmer
## 413 Fynney, Mr. Joseph J
## 414 Gale, Mr. Harry
## 415 Gale, Mr. Shadrach
## 416 Garside, Miss. Ethel
## 417 Gaskell, Mr. Alfred
## 418 Gavey, Mr. Lawrence
## 419 Gilbert, Mr. William
## 420 Giles, Mr. Edgar
## 421 Giles, Mr. Frederick Edward
## 422 Giles, Mr. Ralph
## 423 Gill, Mr. John William
## 424 Gillespie, Mr. William Henry
## 425 Givard, Mr. Hans Kristensen
## 426 Greenberg, Mr. Samuel
## 427 Hale, Mr. Reginald
## 428 Hamalainen, Master. Viljo
## 429 Hamalainen, Mrs. William (Anna)
## 430 Harbeck, Mr. William H
## 431 Harper, Miss. Annie Jessie "Nina"
## 432 Harper, Rev. John
## 433 Harris, Mr. George
## 434 Harris, Mr. Walter
## 435 Hart, Miss. Eva Miriam
## 436 Hart, Mr. Benjamin
## 437 Hart, Mrs. Benjamin (Esther Ada Bloomfield)
## 438 Herman, Miss. Alice
## 439 Herman, Miss. Kate
## 440 Herman, Mr. Samuel
## 441 Herman, Mrs. Samuel (Jane Laver)
## 442 Hewlett, Mrs. (Mary D Kingcome)
## 443 Hickman, Mr. Leonard Mark
## 444 Hickman, Mr. Lewis
## 445 Hickman, Mr. Stanley George
## 446 Hiltunen, Miss. Marta
## 447 Hocking, Miss. Ellen "Nellie"
## 448 Hocking, Mr. Richard George
## 449 Hocking, Mr. Samuel James Metcalfe
## 450 Hocking, Mrs. Elizabeth (Eliza Needs)
## 451 Hodges, Mr. Henry Price
## 452 Hold, Mr. Stephen
## 453 Hold, Mrs. Stephen (Annie Margaret Hill)
## 454 Hood, Mr. Ambrose Jr
## 455 Hosono, Mr. Masabumi
## 456 Howard, Mr. Benjamin
## 457 Howard, Mrs. Benjamin (Ellen Truelove Arman)
## 458 Hunt, Mr. George Henry
## 459 Ilett, Miss. Bertha
## 460 Jacobsohn, Mr. Sidney Samuel
## 461 Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)
## 462 Jarvis, Mr. John Denzil
## 463 Jefferys, Mr. Clifford Thomas
## 464 Jefferys, Mr. Ernest Wilfred
## 465 Jenkin, Mr. Stephen Curnow
## 466 Jerwan, Mrs. Amin S (Marie Marthe Thuillard)
## 467 Kantor, Mr. Sinai
## 468 Kantor, Mrs. Sinai (Miriam Sternin)
## 469 Karnes, Mrs. J Frank (Claire Bennett)
## 470 Keane, Miss. Nora A
## 471 Keane, Mr. Daniel
## 472 Kelly, Mrs. Florence "Fannie"
## 473 Kirkland, Rev. Charles Leonard
## 474 Knight, Mr. Robert J
## 475 Kvillner, Mr. Johan Henrik Johannesson
## 476 Lahtinen, Mrs. William (Anna Sylfven)
## 477 Lahtinen, Rev. William
## 478 Lamb, Mr. John Joseph
## 479 Laroche, Miss. Louise
## 480 Laroche, Miss. Simonne Marie Anne Andree
## 481 Laroche, Mr. Joseph Philippe Lemercier
## 482 Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)
## 483 Lehmann, Miss. Bertha
## 484 Leitch, Miss. Jessie Wills
## 485 Lemore, Mrs. (Amelia Milley)
## 486 Levy, Mr. Rene Jacques
## 487 Leyson, Mr. Robert William Norman
## 488 Lingane, Mr. John
## 489 Louch, Mr. Charles Alexander
## 490 Louch, Mrs. Charles Alexander (Alice Adelaide Slow)
## 491 Mack, Mrs. (Mary)
## 492 Malachard, Mr. Noel
## 493 Mallet, Master. Andre
## 494 Mallet, Mr. Albert
## 495 Mallet, Mrs. Albert (Antoinette Magnin)
## 496 Mangiavacchi, Mr. Serafino Emilio
## 497 Matthews, Mr. William John
## 498 Maybery, Mr. Frank Hubert
## 499 McCrae, Mr. Arthur Gordon
## 500 McCrie, Mr. James Matthew
## 501 McKane, Mr. Peter David
## 502 Mellinger, Miss. Madeleine Violet
## 503 Mellinger, Mrs. (Elizabeth Anne Maidment)
## 504 Mellors, Mr. William John
## 505 Meyer, Mr. August
## 506 Milling, Mr. Jacob Christian
## 507 Mitchell, Mr. Henry Michael
## 508 Montvila, Rev. Juozas
## 509 Moraweck, Dr. Ernest
## 510 Morley, Mr. Henry Samuel ("Mr Henry Marshall")
## 511 Mudd, Mr. Thomas Charles
## 512 Myles, Mr. Thomas Francis
## 513 Nasser, Mr. Nicholas
## 514 Nasser, Mrs. Nicholas (Adele Achem)
## 515 Navratil, Master. Edmond Roger
## 516 Navratil, Master. Michel M
## 517 Navratil, Mr. Michel ("Louis M Hoffman")
## 518 Nesson, Mr. Israel
## 519 Nicholls, Mr. Joseph Charles
## 520 Norman, Mr. Robert Douglas
## 521 Nourney, Mr. Alfred ("Baron von Drachstedt")
## 522 Nye, Mrs. (Elizabeth Ramell)
## 523 Otter, Mr. Richard
## 524 Oxenham, Mr. Percy Thomas
## 525 Padro y Manent, Mr. Julian
## 526 Pain, Dr. Alfred
## 527 Pallas y Castello, Mr. Emilio
## 528 Parker, Mr. Clifford Richard
## 529 Parkes, Mr. Francis "Frank"
## 530 Parrish, Mrs. (Lutie Davis)
## 531 Pengelly, Mr. Frederick William
## 532 Pernot, Mr. Rene
## 533 Peruschitz, Rev. Joseph Maria
## 534 Phillips, Miss. Alice Frances Louisa
## 535 Phillips, Miss. Kate Florence ("Mrs Kate Louise Phillips Marshall")
## 536 Phillips, Mr. Escott Robert
## 537 Pinsky, Mrs. (Rosa)
## 538 Ponesell, Mr. Martin
## 539 Portaluppi, Mr. Emilio Ilario Giuseppe
## 540 Pulbaum, Mr. Franz
## 541 Quick, Miss. Phyllis May
## 542 Quick, Miss. Winifred Vera
## 543 Quick, Mrs. Frederick Charles (Jane Richards)
## 544 Reeves, Mr. David
## 545 Renouf, Mr. Peter Henry
## 546 Renouf, Mrs. Peter Henry (Lillian Jefferys)
## 547 Reynaldo, Ms. Encarnacion
## 548 Richard, Mr. Emile
## 549 Richards, Master. George Sibley
## 550 Richards, Master. William Rowe
## 551 Richards, Mrs. Sidney (Emily Hocking)
## 552 Ridsdale, Miss. Lucy
## 553 Rogers, Mr. Reginald Harry
## 554 Rugg, Miss. Emily
## 555 Schmidt, Mr. August
## 556 Sedgwick, Mr. Charles Frederick Waddington
## 557 Sharp, Mr. Percival James R
## 558 Shelley, Mrs. William (Imanita Parrish Hall)
## 559 Silven, Miss. Lyyli Karoliina
## 560 Sincock, Miss. Maude
## 561 Sinkkonen, Miss. Anna
## 562 Sjostedt, Mr. Ernst Adolf
## 563 Slayter, Miss. Hilda Mary
## 564 Slemen, Mr. Richard James
## 565 Smith, Miss. Marion Elsie
## 566 Sobey, Mr. Samuel James Hayden
## 567 Stanton, Mr. Samuel Ward
## 568 Stokes, Mr. Philip Joseph
## 569 Swane, Mr. George
## 570 Sweet, Mr. George Frederick
## 571 Toomey, Miss. Ellen
## 572 Troupiansky, Mr. Moses Aaron
## 573 Trout, Mrs. William H (Jessie L)
## 574 Troutt, Miss. Edwina Celia "Winnie"
## 575 Turpin, Mr. William John Robert
## 576 Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)
## 577 Veal, Mr. James
## 578 Walcroft, Miss. Nellie
## 579 Ware, Mr. John James
## 580 Ware, Mr. William Jeffery
## 581 Ware, Mrs. John James (Florence Louise Long)
## 582 Watson, Mr. Ennis Hastings
## 583 Watt, Miss. Bertha J
## 584 Watt, Mrs. James (Elizabeth "Bessie" Inglis Milne)
## 585 Webber, Miss. Susan
## 586 Weisz, Mr. Leopold
## 587 Weisz, Mrs. Leopold (Mathilde Francoise Pede)
## 588 Wells, Master. Ralph Lester
## 589 Wells, Miss. Joan
## 590 Wells, Mrs. Arthur Henry ("Addie" Dart Trevaskis)
## 591 West, Miss. Barbara J
## 592 West, Miss. Constance Mirium
## 593 West, Mr. Edwy Arthur
## 594 West, Mrs. Edwy Arthur (Ada Mary Worth)
## 595 Wheadon, Mr. Edward H
## 596 Wheeler, Mr. Edwin "Frederick"
## 597 Wilhelms, Mr. Charles
## 598 Williams, Mr. Charles Eugene
## 599 Wright, Miss. Marion
## 600 Yrois, Miss. Henriette ("Mrs Harbeck")
## 601 Abbing, Mr. Anthony
## 602 Abbott, Master. Eugene Joseph
## 603 Abbott, Mr. Rossmore Edward
## 604 Abbott, Mrs. Stanton (Rosa Hunt)
## 605 Abelseth, Miss. Karen Marie
## 606 Abelseth, Mr. Olaus Jorgensen
## 607 Abrahamsson, Mr. Abraham August Johannes
## 608 Abrahim, Mrs. Joseph (Sophie Halaut Easu)
## 609 Adahl, Mr. Mauritz Nils Martin
## 610 Adams, Mr. John
## 611 Ahlin, Mrs. Johan (Johanna Persdotter Larsson)
## 612 Aks, Master. Philip Frank
## 613 Aks, Mrs. Sam (Leah Rosen)
## 614 Albimona, Mr. Nassef Cassem
## 615 Alexander, Mr. William
## 616 Alhomaki, Mr. Ilmari Rudolf
## 617 Ali, Mr. Ahmed
## 618 Ali, Mr. William
## 619 Allen, Mr. William Henry
## 620 Allum, Mr. Owen George
## 621 Andersen, Mr. Albert Karvin
## 622 Andersen-Jensen, Miss. Carla Christine Nielsine
## 623 Andersson, Master. Sigvard Harald Elias
## 624 Andersson, Miss. Ebba Iris Alfrida
## 625 Andersson, Miss. Ellis Anna Maria
## 626 Andersson, Miss. Erna Alexandra
## 627 Andersson, Miss. Ida Augusta Margareta
## 628 Andersson, Miss. Ingeborg Constanzia
## 629 Andersson, Miss. Sigrid Elisabeth
## 630 Andersson, Mr. Anders Johan
## 631 Andersson, Mr. August Edvard ("Wennerstrom")
## 632 Andersson, Mr. Johan Samuel
## 633 Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)
## 634 Andreasson, Mr. Paul Edvin
## 635 Angheloff, Mr. Minko
## 636 Arnold-Franchi, Mr. Josef
## 637 Arnold-Franchi, Mrs. Josef (Josefine Franchi)
## 638 Aronsson, Mr. Ernst Axel Algot
## 639 Asim, Mr. Adola
## 640 Asplund, Master. Carl Edgar
## 641 Asplund, Master. Clarence Gustaf Hugo
## 642 Asplund, Master. Edvin Rojj Felix
## 643 Asplund, Master. Filip Oscar
## 644 Asplund, Miss. Lillian Gertrud
## 645 Asplund, Mr. Carl Oscar Vilhelm Gustafsson
## 646 Asplund, Mr. Johan Charles
## 647 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)
## 648 Assaf Khalil, Mrs. Mariana ("Miriam")
## 649 Assaf, Mr. Gerios
## 650 Assam, Mr. Ali
## 651 Attalah, Miss. Malake
## 652 Attalah, Mr. Sleiman
## 653 Augustsson, Mr. Albert
## 654 Ayoub, Miss. Banoura
## 655 Baccos, Mr. Raffull
## 656 Backstrom, Mr. Karl Alfred
## 657 Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)
## 658 Baclini, Miss. Eugenie
## 659 Baclini, Miss. Helene Barbara
## 660 Baclini, Miss. Marie Catherine
## 661 Baclini, Mrs. Solomon (Latifa Qurban)
## 662 Badman, Miss. Emily Louisa
## 663 Badt, Mr. Mohamed
## 664 Balkic, Mr. Cerin
## 665 Barah, Mr. Hanna Assi
## 666 Barbara, Miss. Saiide
## 667 Barbara, Mrs. (Catherine David)
## 668 Barry, Miss. Julia
## 669 Barton, Mr. David John
## 670 Beavan, Mr. William Thomas
## 671 Bengtsson, Mr. John Viktor
## 672 Berglund, Mr. Karl Ivar Sven
## 673 Betros, Master. Seman
## 674 Betros, Mr. Tannous
## 675 Bing, Mr. Lee
## 676 Birkeland, Mr. Hans Martin Monsen
## 677 Bjorklund, Mr. Ernst Herbert
## 678 Bostandyeff, Mr. Guentcho
## 679 Boulos, Master. Akar
## 680 Boulos, Miss. Nourelain
## 681 Boulos, Mr. Hanna
## 682 Boulos, Mrs. Joseph (Sultana)
## 683 Bourke, Miss. Mary
## 684 Bourke, Mr. John
## 685 Bourke, Mrs. John (Catherine)
## 686 Bowen, Mr. David John "Dai"
## 687 Bradley, Miss. Bridget Delia
## 688 Braf, Miss. Elin Ester Maria
## 689 Braund, Mr. Lewis Richard
## 690 Braund, Mr. Owen Harris
## 691 Brobeck, Mr. Karl Rudolf
## 692 Brocklebank, Mr. William Alfred
## 693 Buckley, Miss. Katherine
## 694 Buckley, Mr. Daniel
## 695 Burke, Mr. Jeremiah
## 696 Burns, Miss. Mary Delia
## 697 Cacic, Miss. Manda
## 698 Cacic, Miss. Marija
## 699 Cacic, Mr. Jego Grga
## 700 Cacic, Mr. Luka
## 701 Calic, Mr. Jovo
## 702 Calic, Mr. Petar
## 703 Canavan, Miss. Mary
## 704 Canavan, Mr. Patrick
## 705 Cann, Mr. Ernest Charles
## 706 Caram, Mr. Joseph
## 707 Caram, Mrs. Joseph (Maria Elias)
## 708 Carlsson, Mr. August Sigfrid
## 709 Carlsson, Mr. Carl Robert
## 710 Carr, Miss. Helen "Ellen"
## 711 Carr, Miss. Jeannie
## 712 Carver, Mr. Alfred John
## 713 Celotti, Mr. Francesco
## 714 Charters, Mr. David
## 715 Chip, Mr. Chang
## 716 Christmann, Mr. Emil
## 717 Chronopoulos, Mr. Apostolos
## 718 Chronopoulos, Mr. Demetrios
## 719 Coelho, Mr. Domingos Fernandeo
## 720 Cohen, Mr. Gurshon "Gus"
## 721 Colbert, Mr. Patrick
## 722 Coleff, Mr. Peju
## 723 Coleff, Mr. Satio
## 724 Conlon, Mr. Thomas Henry
## 725 Connaghton, Mr. Michael
## 726 Connolly, Miss. Kate
## 727 Connolly, Miss. Kate
## 728 Connors, Mr. Patrick
## 729 Cook, Mr. Jacob
## 730 Cor, Mr. Bartol
## 731 Cor, Mr. Ivan
## 732 Cor, Mr. Liudevit
## 733 Corn, Mr. Harry
## 734 Coutts, Master. Eden Leslie "Neville"
## 735 Coutts, Master. William Loch "William"
## 736 Coutts, Mrs. William (Winnie "Minnie" Treanor)
## 737 Coxon, Mr. Daniel
## 738 Crease, Mr. Ernest James
## 739 Cribb, Miss. Laura Alice
## 740 Cribb, Mr. John Hatfield
## 741 Culumovic, Mr. Jeso
## 742 Daher, Mr. Shedid
## 743 Dahl, Mr. Karl Edwart
## 744 Dahlberg, Miss. Gerda Ulrika
## 745 Dakic, Mr. Branko
## 746 Daly, Miss. Margaret Marcella "Maggie"
## 747 Daly, Mr. Eugene Patrick
## 748 Danbom, Master. Gilbert Sigvard Emanuel
## 749 Danbom, Mr. Ernst Gilbert
## 750 Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)
## 751 Danoff, Mr. Yoto
## 752 Dantcheff, Mr. Ristiu
## 753 Davies, Mr. Alfred J
## 754 Davies, Mr. Evan
## 755 Davies, Mr. John Samuel
## 756 Davies, Mr. Joseph
## 757 Davison, Mr. Thomas Henry
## 758 Davison, Mrs. Thomas Henry (Mary E Finck)
## 759 de Messemaeker, Mr. Guillaume Joseph
## 760 de Messemaeker, Mrs. Guillaume Joseph (Emma)
## 761 de Mulder, Mr. Theodore
## 762 de Pelsmaeker, Mr. Alfons
## 763 Dean, Master. Bertram Vere
## 764 Dean, Miss. Elizabeth Gladys "Millvina"
## 765 Dean, Mr. Bertram Frank
## 766 Dean, Mrs. Bertram (Eva Georgetta Light)
## 767 Delalic, Mr. Redjo
## 768 Demetri, Mr. Marinko
## 769 Denkoff, Mr. Mitto
## 770 Dennis, Mr. Samuel
## 771 Dennis, Mr. William
## 772 Devaney, Miss. Margaret Delia
## 773 Dika, Mr. Mirko
## 774 Dimic, Mr. Jovan
## 775 Dintcheff, Mr. Valtcho
## 776 Doharr, Mr. Tannous
## 777 Dooley, Mr. Patrick
## 778 Dorking, Mr. Edward Arthur
## 779 Dowdell, Miss. Elizabeth
## 780 Doyle, Miss. Elizabeth
## 781 Drapkin, Miss. Jennie
## 782 Drazenoic, Mr. Jozef
## 783 Duane, Mr. Frank
## 784 Duquemin, Mr. Joseph
## 785 Dyker, Mr. Adolf Fredrik
## 786 Dyker, Mrs. Adolf Fredrik (Anna Elisabeth Judith Andersson)
## 787 Edvardsson, Mr. Gustaf Hjalmar
## 788 Eklund, Mr. Hans Linus
## 789 Ekstrom, Mr. Johan
## 790 Elias, Mr. Dibo
## 791 Elias, Mr. Joseph
## 792 Elias, Mr. Joseph Jr
## 793 Elias, Mr. Tannous
## 794 Elsbury, Mr. William James
## 795 Emanuel, Miss. Virginia Ethel
## 796 Emir, Mr. Farred Chehab
## 797 Everett, Mr. Thomas James
## 798 Farrell, Mr. James
## 799 Finoli, Mr. Luigi
## 800 Fischer, Mr. Eberhard Thelander
## 801 Fleming, Miss. Honora
## 802 Flynn, Mr. James
## 803 Flynn, Mr. John
## 804 Foley, Mr. Joseph
## 805 Foley, Mr. William
## 806 Foo, Mr. Choong
## 807 Ford, Miss. Doolina Margaret "Daisy"
## 808 Ford, Miss. Robina Maggie "Ruby"
## 809 Ford, Mr. Arthur
## 810 Ford, Mr. Edward Watson
## 811 Ford, Mr. William Neal
## 812 Ford, Mrs. Edward (Margaret Ann Watson)
## 813 Fox, Mr. Patrick
## 814 Franklin, Mr. Charles (Charles Fardon)
## 815 Gallagher, Mr. Martin
## 816 Garfirth, Mr. John
## 817 Gheorgheff, Mr. Stanio
## 818 Gilinski, Mr. Eliezer
## 819 Gilnagh, Miss. Katherine "Katie"
## 820 Glynn, Miss. Mary Agatha
## 821 Goldsmith, Master. Frank John William "Frankie"
## 822 Goldsmith, Mr. Frank John
## 823 Goldsmith, Mr. Nathan
## 824 Goldsmith, Mrs. Frank John (Emily Alice Brown)
## 825 Goncalves, Mr. Manuel Estanslas
## 826 Goodwin, Master. Harold Victor
## 827 Goodwin, Master. Sidney Leonard
## 828 Goodwin, Master. William Frederick
## 829 Goodwin, Miss. Jessie Allis
## 830 Goodwin, Miss. Lillian Amy
## 831 Goodwin, Mr. Charles Edward
## 832 Goodwin, Mr. Charles Frederick
## 833 Goodwin, Mrs. Frederick (Augusta Tyler)
## 834 Green, Mr. George Henry
## 835 Gronnestad, Mr. Daniel Danielsen
## 836 Guest, Mr. Robert
## 837 Gustafsson, Mr. Alfred Ossian
## 838 Gustafsson, Mr. Anders Vilhelm
## 839 Gustafsson, Mr. Johan Birger
## 840 Gustafsson, Mr. Karl Gideon
## 841 Haas, Miss. Aloisia
## 842 Hagardon, Miss. Kate
## 843 Hagland, Mr. Ingvald Olai Olsen
## 844 Hagland, Mr. Konrad Mathias Reiersen
## 845 Hakkarainen, Mr. Pekka Pietari
## 846 Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)
## 847 Hampe, Mr. Leon
## 848 Hanna, Mr. Mansour
## 849 Hansen, Mr. Claus Peter
## 850 Hansen, Mr. Henrik Juul
## 851 Hansen, Mr. Henry Damsgaard
## 852 Hansen, Mrs. Claus Peter (Jennie L Howard)
## 853 Harknett, Miss. Alice Phoebe
## 854 Harmer, Mr. Abraham (David Lishin)
## 855 Hart, Mr. Henry
## 856 Hassan, Mr. Houssein G N
## 857 Healy, Miss. Hanora "Nora"
## 858 Hedman, Mr. Oskar Arvid
## 859 Hee, Mr. Ling
## 860 Hegarty, Miss. Hanora "Nora"
## 861 Heikkinen, Miss. Laina
## 862 Heininen, Miss. Wendla Maria
## 863 Hellstrom, Miss. Hilda Maria
## 864 Hendekovic, Mr. Ignjac
## 865 Henriksson, Miss. Jenny Lovisa
## 866 Henry, Miss. Delia
## 867 Hirvonen, Miss. Hildur E
## 868 Hirvonen, Mrs. Alexander (Helga E Lindqvist)
## 869 Holm, Mr. John Fredrik Alexander
## 870 Holthen, Mr. Johan Martin
## 871 Honkanen, Miss. Eliina
## 872 Horgan, Mr. John
## 873 Howard, Miss. May Elizabeth
## 874 Humblen, Mr. Adolf Mathias Nicolai Olsen
## 875 Hyman, Mr. Abraham
## 876 Ibrahim Shawah, Mr. Yousseff
## 877 Ilieff, Mr. Ylio
## 878 Ilmakangas, Miss. Ida Livija
## 879 Ilmakangas, Miss. Pieta Sofia
## 880 Ivanoff, Mr. Kanio
## 881 Jalsevac, Mr. Ivan
## 882 Jansson, Mr. Carl Olof
## 883 Jardin, Mr. Jose Neto
## 884 Jensen, Mr. Hans Peder
## 885 Jensen, Mr. Niels Peder
## 886 Jensen, Mr. Svend Lauritz
## 887 Jermyn, Miss. Annie
## 888 Johannesen-Bratthammer, Mr. Bernt
## 889 Johanson, Mr. Jakob Alfred
## 890 Johansson Palmquist, Mr. Oskar Leander
## 891 Johansson, Mr. Erik
## 892 Johansson, Mr. Gustaf Joel
## 893 Johansson, Mr. Karl Johan
## 894 Johansson, Mr. Nils
## 895 Johnson, Master. Harold Theodor
## 896 Johnson, Miss. Eleanor Ileen
## 897 Johnson, Mr. Alfred
## 898 Johnson, Mr. Malkolm Joackim
## 899 Johnson, Mr. William Cahoone Jr
## 900 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)
## 901 Johnston, Master. William Arthur "Willie"
## 902 Johnston, Miss. Catherine Helen "Carrie"
## 903 Johnston, Mr. Andrew G
## 904 Johnston, Mrs. Andrew G (Elizabeth "Lily" Watson)
## 905 Jonkoff, Mr. Lalio
## 906 Jonsson, Mr. Carl
## 907 Jonsson, Mr. Nils Hilding
## 908 Jussila, Miss. Katriina
## 909 Jussila, Miss. Mari Aina
## 910 Jussila, Mr. Eiriik
## 911 Kallio, Mr. Nikolai Erland
## 912 Kalvik, Mr. Johannes Halvorsen
## 913 Karaic, Mr. Milan
## 914 Karlsson, Mr. Einar Gervasius
## 915 Karlsson, Mr. Julius Konrad Eugen
## 916 Karlsson, Mr. Nils August
## 917 Karun, Miss. Manca
## 918 Karun, Mr. Franz
## 919 Kassem, Mr. Fared
## 920 Katavelas, Mr. Vassilios ("Catavelas Vassilios")
## 921 Keane, Mr. Andrew "Andy"
## 922 Keefe, Mr. Arthur
## 923 Kelly, Miss. Anna Katherine "Annie Kate"
## 924 Kelly, Miss. Mary
## 925 Kelly, Mr. James
## 926 Kelly, Mr. James
## 927 Kennedy, Mr. John
## 928 Khalil, Mr. Betros
## 929 Khalil, Mrs. Betros (Zahie "Maria" Elias)
## 930 Kiernan, Mr. John
## 931 Kiernan, Mr. Philip
## 932 Kilgannon, Mr. Thomas J
## 933 Kink, Miss. Maria
## 934 Kink, Mr. Vincenz
## 935 Kink-Heilmann, Miss. Luise Gretchen
## 936 Kink-Heilmann, Mr. Anton
## 937 Kink-Heilmann, Mrs. Anton (Luise Heilmann)
## 938 Klasen, Miss. Gertrud Emilia
## 939 Klasen, Mr. Klas Albin
## 940 Klasen, Mrs. (Hulda Kristina Eugenia Lofqvist)
## 941 Kraeff, Mr. Theodor
## 942 Krekorian, Mr. Neshan
## 943 Lahoud, Mr. Sarkis
## 944 Laitinen, Miss. Kristina Sofia
## 945 Laleff, Mr. Kristo
## 946 Lam, Mr. Ali
## 947 Lam, Mr. Len
## 948 Landergren, Miss. Aurora Adelia
## 949 Lane, Mr. Patrick
## 950 Lang, Mr. Fang
## 951 Larsson, Mr. August Viktor
## 952 Larsson, Mr. Bengt Edvin
## 953 Larsson-Rondberg, Mr. Edvard A
## 954 Leeni, Mr. Fahim ("Philip Zenni")
## 955 Lefebre, Master. Henry Forbes
## 956 Lefebre, Miss. Ida
## 957 Lefebre, Miss. Jeannie
## 958 Lefebre, Miss. Mathilde
## 959 Lefebre, Mrs. Frank (Frances)
## 960 Leinonen, Mr. Antti Gustaf
## 961 Lemberopolous, Mr. Peter L
## 962 Lennon, Miss. Mary
## 963 Lennon, Mr. Denis
## 964 Leonard, Mr. Lionel
## 965 Lester, Mr. James
## 966 Lievens, Mr. Rene Aime
## 967 Lindahl, Miss. Agda Thorilda Viktoria
## 968 Lindblom, Miss. Augusta Charlotta
## 969 Lindell, Mr. Edvard Bengtsson
## 970 Lindell, Mrs. Edvard Bengtsson (Elin Gerda Persson)
## 971 Lindqvist, Mr. Eino William
## 972 Linehan, Mr. Michael
## 973 Ling, Mr. Lee
## 974 Lithman, Mr. Simon
## 975 Lobb, Mr. William Arthur
## 976 Lobb, Mrs. William Arthur (Cordelia K Stanlick)
## 977 Lockyer, Mr. Edward
## 978 Lovell, Mr. John Hall ("Henry")
## 979 Lulic, Mr. Nikola
## 980 Lundahl, Mr. Johan Svensson
## 981 Lundin, Miss. Olga Elida
## 982 Lundstrom, Mr. Thure Edvin
## 983 Lyntakoff, Mr. Stanko
## 984 MacKay, Mr. George William
## 985 Madigan, Miss. Margaret "Maggie"
## 986 Madsen, Mr. Fridtjof Arne
## 987 Maenpaa, Mr. Matti Alexanteri
## 988 Mahon, Miss. Bridget Delia
## 989 Mahon, Mr. John
## 990 Maisner, Mr. Simon
## 991 Makinen, Mr. Kalle Edvard
## 992 Mamee, Mr. Hanna
## 993 Mangan, Miss. Mary
## 994 Mannion, Miss. Margareth
## 995 Mardirosian, Mr. Sarkis
## 996 Markoff, Mr. Marin
## 997 Markun, Mr. Johann
## 998 Masselmani, Mrs. Fatima
## 999 Matinoff, Mr. Nicola
## 1000 McCarthy, Miss. Catherine "Katie"
## 1001 McCormack, Mr. Thomas Joseph
## 1002 McCoy, Miss. Agnes
## 1003 McCoy, Miss. Alicia
## 1004 McCoy, Mr. Bernard
## 1005 McDermott, Miss. Brigdet Delia
## 1006 McEvoy, Mr. Michael
## 1007 McGovern, Miss. Mary
## 1008 McGowan, Miss. Anna "Annie"
## 1009 McGowan, Miss. Katherine
## 1010 McMahon, Mr. Martin
## 1011 McNamee, Mr. Neal
## 1012 McNamee, Mrs. Neal (Eileen O'Leary)
## 1013 McNeill, Miss. Bridget
## 1014 Meanwell, Miss. (Marion Ogden)
## 1015 Meek, Mrs. Thomas (Annie Louise Rowley)
## 1016 Meo, Mr. Alfonzo
## 1017 Mernagh, Mr. Robert
## 1018 Midtsjo, Mr. Karl Albert
## 1019 Miles, Mr. Frank
## 1020 Mineff, Mr. Ivan
## 1021 Minkoff, Mr. Lazar
## 1022 Mionoff, Mr. Stoytcho
## 1023 Mitkoff, Mr. Mito
## 1024 Mockler, Miss. Helen Mary "Ellie"
## 1025 Moen, Mr. Sigurd Hansen
## 1026 Moor, Master. Meier
## 1027 Moor, Mrs. (Beila)
## 1028 Moore, Mr. Leonard Charles
## 1029 Moran, Miss. Bertha
## 1030 Moran, Mr. Daniel J
## 1031 Moran, Mr. James
## 1032 Morley, Mr. William
## 1033 Morrow, Mr. Thomas Rowan
## 1034 Moss, Mr. Albert Johan
## 1035 Moubarek, Master. Gerios
## 1036 Moubarek, Master. Halim Gonios ("William George")
## 1037 Moubarek, Mrs. George (Omine "Amenia" Alexander)
## 1038 Moussa, Mrs. (Mantoura Boulos)
## 1039 Moutal, Mr. Rahamin Haim
## 1040 Mullens, Miss. Katherine "Katie"
## 1041 Mulvihill, Miss. Bertha E
## 1042 Murdlin, Mr. Joseph
## 1043 Murphy, Miss. Katherine "Kate"
## 1044 Murphy, Miss. Margaret Jane
## 1045 Murphy, Miss. Nora
## 1046 Myhrman, Mr. Pehr Fabian Oliver Malkolm
## 1047 Naidenoff, Mr. Penko
## 1048 Najib, Miss. Adele Kiamie "Jane"
## 1049 Nakid, Miss. Maria ("Mary")
## 1050 Nakid, Mr. Sahid
## 1051 Nakid, Mrs. Said (Waika "Mary" Mowad)
## 1052 Nancarrow, Mr. William Henry
## 1053 Nankoff, Mr. Minko
## 1054 Nasr, Mr. Mustafa
## 1055 Naughton, Miss. Hannah
## 1056 Nenkoff, Mr. Christo
## 1057 Nicola-Yarred, Master. Elias
## 1058 Nicola-Yarred, Miss. Jamila
## 1059 Nieminen, Miss. Manta Josefina
## 1060 Niklasson, Mr. Samuel
## 1061 Nilsson, Miss. Berta Olivia
## 1062 Nilsson, Miss. Helmina Josefina
## 1063 Nilsson, Mr. August Ferdinand
## 1064 Nirva, Mr. Iisakki Antino Aijo
## 1065 Niskanen, Mr. Juha
## 1066 Nosworthy, Mr. Richard Cater
## 1067 Novel, Mr. Mansouer
## 1068 Nysten, Miss. Anna Sofia
## 1069 Nysveen, Mr. Johan Hansen
## 1070 O'Brien, Mr. Thomas
## 1071 O'Brien, Mr. Timothy
## 1072 O'Brien, Mrs. Thomas (Johanna "Hannah" Godfrey)
## 1073 O'Connell, Mr. Patrick D
## 1074 O'Connor, Mr. Maurice
## 1075 O'Connor, Mr. Patrick
## 1076 Odahl, Mr. Nils Martin
## 1077 O'Donoghue, Ms. Bridget
## 1078 O'Driscoll, Miss. Bridget
## 1079 O'Dwyer, Miss. Ellen "Nellie"
## 1080 Ohman, Miss. Velin
## 1081 O'Keefe, Mr. Patrick
## 1082 O'Leary, Miss. Hanora "Norah"
## 1083 Olsen, Master. Artur Karl
## 1084 Olsen, Mr. Henry Margido
## 1085 Olsen, Mr. Karl Siegwart Andreas
## 1086 Olsen, Mr. Ole Martin
## 1087 Olsson, Miss. Elina
## 1088 Olsson, Mr. Nils Johan Goransson
## 1089 Olsson, Mr. Oscar Wilhelm
## 1090 Olsvigen, Mr. Thor Anderson
## 1091 Oreskovic, Miss. Jelka
## 1092 Oreskovic, Miss. Marija
## 1093 Oreskovic, Mr. Luka
## 1094 Osen, Mr. Olaf Elon
## 1095 Osman, Mrs. Mara
## 1096 O'Sullivan, Miss. Bridget Mary
## 1097 Palsson, Master. Gosta Leonard
## 1098 Palsson, Master. Paul Folke
## 1099 Palsson, Miss. Stina Viola
## 1100 Palsson, Miss. Torborg Danira
## 1101 Palsson, Mrs. Nils (Alma Cornelia Berglund)
## 1102 Panula, Master. Eino Viljami
## 1103 Panula, Master. Juha Niilo
## 1104 Panula, Master. Urho Abraham
## 1105 Panula, Mr. Ernesti Arvid
## 1106 Panula, Mr. Jaako Arnold
## 1107 Panula, Mrs. Juha (Maria Emilia Ojala)
## 1108 Pasic, Mr. Jakob
## 1109 Patchett, Mr. George
## 1110 Paulner, Mr. Uscher
## 1111 Pavlovic, Mr. Stefo
## 1112 Peacock, Master. Alfred Edward
## 1113 Peacock, Miss. Treasteall
## 1114 Peacock, Mrs. Benjamin (Edith Nile)
## 1115 Pearce, Mr. Ernest
## 1116 Pedersen, Mr. Olaf
## 1117 Peduzzi, Mr. Joseph
## 1118 Pekoniemi, Mr. Edvard
## 1119 Peltomaki, Mr. Nikolai Johannes
## 1120 Perkin, Mr. John Henry
## 1121 Persson, Mr. Ernst Ulrik
## 1122 Peter, Master. Michael J
## 1123 Peter, Miss. Anna
## 1124 Peter, Mrs. Catherine (Catherine Rizk)
## 1125 Peters, Miss. Katie
## 1126 Petersen, Mr. Marius
## 1127 Petranec, Miss. Matilda
## 1128 Petroff, Mr. Nedelio
## 1129 Petroff, Mr. Pastcho ("Pentcho")
## 1130 Petterson, Mr. Johan Emil
## 1131 Pettersson, Miss. Ellen Natalia
## 1132 Pickard, Mr. Berk (Berk Trembisky)
## 1133 Plotcharsky, Mr. Vasil
## 1134 Pokrnic, Mr. Mate
## 1135 Pokrnic, Mr. Tome
## 1136 Radeff, Mr. Alexander
## 1137 Rasmussen, Mrs. (Lena Jacobsen Solvang)
## 1138 Razi, Mr. Raihed
## 1139 Reed, Mr. James George
## 1140 Rekic, Mr. Tido
## 1141 Reynolds, Mr. Harold J
## 1142 Rice, Master. Albert
## 1143 Rice, Master. Arthur
## 1144 Rice, Master. Eric
## 1145 Rice, Master. Eugene
## 1146 Rice, Master. George Hugh
## 1147 Rice, Mrs. William (Margaret Norton)
## 1148 Riihivouri, Miss. Susanna Juhantytar "Sanni"
## 1149 Rintamaki, Mr. Matti
## 1150 Riordan, Miss. Johanna "Hannah"
## 1151 Risien, Mr. Samuel Beard
## 1152 Risien, Mrs. Samuel (Emma)
## 1153 Robins, Mr. Alexander A
## 1154 Robins, Mrs. Alexander A (Grace Charity Laury)
## 1155 Rogers, Mr. William John
## 1156 Rommetvedt, Mr. Knud Paust
## 1157 Rosblom, Miss. Salli Helena
## 1158 Rosblom, Mr. Viktor Richard
## 1159 Rosblom, Mrs. Viktor (Helena Wilhelmina)
## 1160 Roth, Miss. Sarah A
## 1161 Rouse, Mr. Richard Henry
## 1162 Rush, Mr. Alfred George John
## 1163 Ryan, Mr. Edward
## 1164 Ryan, Mr. Patrick
## 1165 Saad, Mr. Amin
## 1166 Saad, Mr. Khalil
## 1167 Saade, Mr. Jean Nassr
## 1168 Sadlier, Mr. Matthew
## 1169 Sadowitz, Mr. Harry
## 1170 Saether, Mr. Simon Sivertsen
## 1171 Sage, Master. Thomas Henry
## 1172 Sage, Master. William Henry
## 1173 Sage, Miss. Ada
## 1174 Sage, Miss. Constance Gladys
## 1175 Sage, Miss. Dorothy Edith "Dolly"
## 1176 Sage, Miss. Stella Anna
## 1177 Sage, Mr. Douglas Bullen
## 1178 Sage, Mr. Frederick
## 1179 Sage, Mr. George John Jr
## 1180 Sage, Mr. John George
## 1181 Sage, Mrs. John (Annie Bullen)
## 1182 Salander, Mr. Karl Johan
## 1183 Salkjelsvik, Miss. Anna Kristine
## 1184 Salonen, Mr. Johan Werner
## 1185 Samaan, Mr. Elias
## 1186 Samaan, Mr. Hanna
## 1187 Samaan, Mr. Youssef
## 1188 Sandstrom, Miss. Beatrice Irene
## 1189 Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)
## 1190 Sandstrom, Miss. Marguerite Rut
## 1191 Sap, Mr. Julius
## 1192 Saundercock, Mr. William Henry
## 1193 Sawyer, Mr. Frederick Charles
## 1194 Scanlan, Mr. James
## 1195 Sdycoff, Mr. Todor
## 1196 Shaughnessy, Mr. Patrick
## 1197 Sheerlinck, Mr. Jan Baptist
## 1198 Shellard, Mr. Frederick William
## 1199 Shine, Miss. Ellen Natalia
## 1200 Shorney, Mr. Charles Joseph
## 1201 Simmons, Mr. John
## 1202 Sirayanian, Mr. Orsen
## 1203 Sirota, Mr. Maurice
## 1204 Sivic, Mr. Husein
## 1205 Sivola, Mr. Antti Wilhelm
## 1206 Sjoblom, Miss. Anna Sofia
## 1207 Skoog, Master. Harald
## 1208 Skoog, Master. Karl Thorsten
## 1209 Skoog, Miss. Mabel
## 1210 Skoog, Miss. Margit Elizabeth
## 1211 Skoog, Mr. Wilhelm
## 1212 Skoog, Mrs. William (Anna Bernhardina Karlsson)
## 1213 Slabenoff, Mr. Petco
## 1214 Slocovski, Mr. Selman Francis
## 1215 Smiljanic, Mr. Mile
## 1216 Smith, Mr. Thomas
## 1217 Smyth, Miss. Julia
## 1218 Soholt, Mr. Peter Andreas Lauritz Andersen
## 1219 Somerton, Mr. Francis William
## 1220 Spector, Mr. Woolf
## 1221 Spinner, Mr. Henry John
## 1222 Staneff, Mr. Ivan
## 1223 Stankovic, Mr. Ivan
## 1224 Stanley, Miss. Amy Zillah Elsie
## 1225 Stanley, Mr. Edward Roland
## 1226 Storey, Mr. Thomas
## 1227 Stoytcheff, Mr. Ilia
## 1228 Strandberg, Miss. Ida Sofia
## 1229 Stranden, Mr. Juho
## 1230 Strilic, Mr. Ivan
## 1231 Strom, Miss. Telma Matilda
## 1232 Strom, Mrs. Wilhelm (Elna Matilda Persson)
## 1233 Sunderland, Mr. Victor Francis
## 1234 Sundman, Mr. Johan Julian
## 1235 Sutehall, Mr. Henry Jr
## 1236 Svensson, Mr. Johan
## 1237 Svensson, Mr. Johan Cervin
## 1238 Svensson, Mr. Olof
## 1239 Tenglin, Mr. Gunnar Isidor
## 1240 Theobald, Mr. Thomas Leonard
## 1241 Thomas, Master. Assad Alexander
## 1242 Thomas, Mr. Charles P
## 1243 Thomas, Mr. John
## 1244 Thomas, Mr. Tannous
## 1245 Thomas, Mrs. Alexander (Thamine "Thelma")
## 1246 Thomson, Mr. Alexander Morrison
## 1247 Thorneycroft, Mr. Percival
## 1248 Thorneycroft, Mrs. Percival (Florence Kate White)
## 1249 Tikkanen, Mr. Juho
## 1250 Tobin, Mr. Roger
## 1251 Todoroff, Mr. Lalio
## 1252 Tomlin, Mr. Ernest Portage
## 1253 Torber, Mr. Ernst William
## 1254 Torfa, Mr. Assad
## 1255 Tornquist, Mr. William Henry
## 1256 Toufik, Mr. Nakli
## 1257 Touma, Master. Georges Youssef
## 1258 Touma, Miss. Maria Youssef
## 1259 Touma, Mrs. Darwis (Hanne Youssef Razi)
## 1260 Turcin, Mr. Stjepan
## 1261 Turja, Miss. Anna Sofia
## 1262 Turkula, Mrs. (Hedwig)
## 1263 van Billiard, Master. James William
## 1264 van Billiard, Master. Walter John
## 1265 van Billiard, Mr. Austin Blyler
## 1266 Van Impe, Miss. Catharina
## 1267 Van Impe, Mr. Jean Baptiste
## 1268 Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)
## 1269 van Melkebeke, Mr. Philemon
## 1270 Vande Velde, Mr. Johannes Joseph
## 1271 Vande Walle, Mr. Nestor Cyriel
## 1272 Vanden Steen, Mr. Leo Peter
## 1273 Vander Cruyssen, Mr. Victor
## 1274 Vander Planke, Miss. Augusta Maria
## 1275 Vander Planke, Mr. Julius
## 1276 Vander Planke, Mr. Leo Edmondus
## 1277 Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)
## 1278 Vartanian, Mr. David
## 1279 Vendel, Mr. Olof Edvin
## 1280 Vestrom, Miss. Hulda Amanda Adolfina
## 1281 Vovk, Mr. Janko
## 1282 Waelens, Mr. Achille
## 1283 Ware, Mr. Frederick
## 1284 Warren, Mr. Charles William
## 1285 Webber, Mr. James
## 1286 Wenzel, Mr. Linhart
## 1287 Whabee, Mrs. George Joseph (Shawneene Abi-Saab)
## 1288 Widegren, Mr. Carl/Charles Peter
## 1289 Wiklund, Mr. Jakob Alfred
## 1290 Wiklund, Mr. Karl Johan
## 1291 Wilkes, Mrs. James (Ellen Needs)
## 1292 Willer, Mr. Aaron ("Abi Weller")
## 1293 Willey, Mr. Edward
## 1294 Williams, Mr. Howard Hugh "Harry"
## 1295 Williams, Mr. Leslie
## 1296 Windelov, Mr. Einar
## 1297 Wirz, Mr. Albert
## 1298 Wiseman, Mr. Phillippe
## 1299 Wittevrongel, Mr. Camille
## 1300 Yasbeck, Mr. Antoni
## 1301 Yasbeck, Mrs. Antoni (Selini Alexander)
## 1302 Youseff, Mr. Gerious
## 1303 Yousif, Mr. Wazli
## 1304 Yousseff, Mr. Gerious
## 1305 Zabour, Miss. Hileni
## 1306 Zabour, Miss. Thamine
## 1307 Zakarian, Mr. Mapriededer
## 1308 Zakarian, Mr. Ortin
## 1309 Zimmerman, Mr. Leo
## sex age sibsp parch ticket fare cabin
## 1 female 29.00 0 0 24160 211.3375 B5
## 2 male 0.92 1 2 113781 151.5500 C22 C26
## 3 female 2.00 1 2 113781 151.5500 C22 C26
## 4 male 30.00 1 2 113781 151.5500 C22 C26
## 5 female 25.00 1 2 113781 151.5500 C22 C26
## 6 male 48.00 0 0 19952 26.5500 E12
## 7 female 63.00 1 0 13502 77.9583 D7
## 8 male 39.00 0 0 112050 0.0000 A36
## 9 female 53.00 2 0 11769 51.4792 C101
## 10 male 71.00 0 0 PC 17609 49.5042 <NA>
## 11 male 47.00 1 0 PC 17757 227.5250 C62 C64
## 12 female 18.00 1 0 PC 17757 227.5250 C62 C64
## 13 female 24.00 0 0 PC 17477 69.3000 B35
## 14 female 26.00 0 0 19877 78.8500 <NA>
## 15 male 80.00 0 0 27042 30.0000 A23
## 16 male NA 0 0 PC 17318 25.9250 <NA>
## 17 male 24.00 0 1 PC 17558 247.5208 B58 B60
## 18 female 50.00 0 1 PC 17558 247.5208 B58 B60
## 19 female 32.00 0 0 11813 76.2917 D15
## 20 male 36.00 0 0 13050 75.2417 C6
## 21 male 37.00 1 1 11751 52.5542 D35
## 22 female 47.00 1 1 11751 52.5542 D35
## 23 male 26.00 0 0 111369 30.0000 C148
## 24 female 42.00 0 0 PC 17757 227.5250 <NA>
## 25 female 29.00 0 0 PC 17483 221.7792 C97
## 26 male 25.00 0 0 13905 26.0000 <NA>
## 27 male 25.00 1 0 11967 91.0792 B49
## 28 female 19.00 1 0 11967 91.0792 B49
## 29 female 35.00 0 0 PC 17760 135.6333 C99
## 30 male 28.00 0 0 110564 26.5500 C52
## 31 male 45.00 0 0 113784 35.5000 T
## 32 male 40.00 0 0 112277 31.0000 A31
## 33 female 30.00 0 0 36928 164.8667 C7
## 34 female 58.00 0 0 113783 26.5500 C103
## 35 male 42.00 0 0 110489 26.5500 D22
## 36 female 45.00 0 0 PC 17608 262.3750 <NA>
## 37 female 22.00 0 1 113505 55.0000 E33
## 38 male NA 0 0 111427 26.5500 <NA>
## 39 male 41.00 0 0 113054 30.5000 A21
## 40 male 48.00 0 0 PC 17591 50.4958 B10
## 41 male NA 0 0 112379 39.6000 <NA>
## 42 female 44.00 0 0 PC 17610 27.7208 B4
## 43 female 59.00 2 0 11769 51.4792 C101
## 44 female 60.00 0 0 11813 76.2917 D15
## 45 female 41.00 0 0 16966 134.5000 E40
## 46 male 45.00 0 0 113050 26.5500 B38
## 47 male NA 0 0 113798 31.0000 <NA>
## 48 male 42.00 0 0 PC 17476 26.2875 E24
## 49 female 53.00 0 0 PC 17606 27.4458 <NA>
## 50 male 36.00 0 1 PC 17755 512.3292 B51 B53 B55
## 51 female 58.00 0 1 PC 17755 512.3292 B51 B53 B55
## 52 male 33.00 0 0 695 5.0000 B51 B53 B55
## 53 male 28.00 0 0 113059 47.1000 <NA>
## 54 male 17.00 0 0 113059 47.1000 <NA>
## 55 male 11.00 1 2 113760 120.0000 B96 B98
## 56 female 14.00 1 2 113760 120.0000 B96 B98
## 57 male 36.00 1 2 113760 120.0000 B96 B98
## 58 female 36.00 1 2 113760 120.0000 B96 B98
## 59 male 49.00 0 0 19924 26.0000 <NA>
## 60 female NA 0 0 17770 27.7208 <NA>
## 61 male 36.00 1 0 19877 78.8500 C46
## 62 female 76.00 1 0 19877 78.8500 C46
## 63 male 46.00 1 0 W.E.P. 5734 61.1750 E31
## 64 female 47.00 1 0 W.E.P. 5734 61.1750 E31
## 65 male 27.00 1 0 113806 53.1000 E8
## 66 female 33.00 1 0 113806 53.1000 E8
## 67 female 36.00 0 0 PC 17608 262.3750 B61
## 68 female 30.00 0 0 110152 86.5000 B77
## 69 male 45.00 0 0 PC 17594 29.7000 A9
## 70 female NA 0 1 113505 55.0000 E33
## 71 male NA 0 0 112051 0.0000 <NA>
## 72 male 27.00 1 0 13508 136.7792 C89
## 73 female 26.00 1 0 13508 136.7792 C89
## 74 female 22.00 0 0 113781 151.5500 <NA>
## 75 male NA 0 0 110465 52.0000 A14
## 76 male 47.00 0 0 5727 25.5875 E58
## 77 female 39.00 1 1 PC 17756 83.1583 E49
## 78 male 37.00 1 1 PC 17756 83.1583 E52
## 79 female 64.00 0 2 PC 17756 83.1583 E45
## 80 female 55.00 2 0 11770 25.7000 C101
## 81 male NA 0 0 113791 26.5500 <NA>
## 82 male 70.00 1 1 WE/P 5735 71.0000 B22
## 83 female 36.00 0 2 WE/P 5735 71.0000 B22
## 84 female 64.00 1 1 112901 26.5500 B26
## 85 male 39.00 1 0 PC 17599 71.2833 C85
## 86 female 38.00 1 0 PC 17599 71.2833 C85
## 87 male 51.00 0 0 113055 26.5500 E17
## 88 male 27.00 0 0 113804 30.5000 <NA>
## 89 female 33.00 0 0 113781 151.5500 <NA>
## 90 male 31.00 1 0 F.C. 12750 52.0000 B71
## 91 female 27.00 1 2 F.C. 12750 52.0000 B71
## 92 male 31.00 1 0 17474 57.0000 B20
## 93 female 17.00 1 0 17474 57.0000 B20
## 94 male 53.00 1 1 33638 81.8583 A34
## 95 male 4.00 0 2 33638 81.8583 A34
## 96 female 54.00 1 1 33638 81.8583 A34
## 97 male 50.00 1 0 PC 17761 106.4250 C86
## 98 female 27.00 1 1 PC 17558 247.5208 B58 B60
## 99 female 48.00 1 0 PC 17761 106.4250 C86
## 100 female 48.00 1 0 11755 39.6000 A16
## 101 male 49.00 1 0 PC 17485 56.9292 A20
## 102 male 39.00 0 0 PC 17580 29.7000 A18
## 103 female 23.00 0 1 11767 83.1583 C54
## 104 female 38.00 0 0 PC 17757 227.5250 C45
## 105 female 54.00 1 0 36947 78.2667 D20
## 106 female 36.00 0 0 PC 17531 31.6792 A29
## 107 male NA 0 0 PC 17483 221.7792 C95
## 108 female NA 0 0 PC 17598 31.6833 <NA>
## 109 female NA 0 0 17421 110.8833 <NA>
## 110 male 36.00 0 0 PC 17474 26.3875 E25
## 111 male 30.00 0 0 113051 27.7500 C111
## 112 female 24.00 3 2 19950 263.0000 C23 C25 C27
## 113 female 28.00 3 2 19950 263.0000 C23 C25 C27
## 114 female 23.00 3 2 19950 263.0000 C23 C25 C27
## 115 male 19.00 3 2 19950 263.0000 C23 C25 C27
## 116 male 64.00 1 4 19950 263.0000 C23 C25 C27
## 117 female 60.00 1 4 19950 263.0000 C23 C25 C27
## 118 female 30.00 0 0 PC 17485 56.9292 E36
## 119 male NA 0 0 113778 26.5500 D34
## 120 male 50.00 2 0 PC 17611 133.6500 <NA>
## 121 male 43.00 1 0 17765 27.7208 D40
## 122 female NA 1 0 PC 17611 133.6500 <NA>
## 123 female 22.00 0 2 13568 49.5000 B39
## 124 male 60.00 1 1 13567 79.2000 B41
## 125 female 48.00 1 1 13567 79.2000 B41
## 126 male NA 0 0 112058 0.0000 B102
## 127 male 37.00 1 0 113803 53.1000 C123
## 128 female 35.00 1 0 113803 53.1000 C123
## 129 male 47.00 0 0 111320 38.5000 E63
## 130 female 35.00 0 0 113503 211.5000 C130
## 131 female 22.00 0 1 112378 59.4000 <NA>
## 132 female 45.00 0 1 112378 59.4000 <NA>
## 133 male 24.00 0 0 PC 17593 79.2000 B86
## 134 male 49.00 1 0 17453 89.1042 C92
## 135 female NA 1 0 17453 89.1042 C92
## 136 male 71.00 0 0 PC 17754 34.6542 A5
## 137 male 53.00 0 0 113780 28.5000 C51
## 138 female 19.00 0 0 112053 30.0000 B42
## 139 male 38.00 0 1 PC 17582 153.4625 C91
## 140 female 58.00 0 1 PC 17582 153.4625 C125
## 141 male 23.00 0 1 PC 17759 63.3583 D10 D12
## 142 female 45.00 0 1 PC 17759 63.3583 D10 D12
## 143 male 46.00 0 0 PC 17593 79.2000 B82 B84
## 144 male 25.00 1 0 11765 55.4417 E50
## 145 female 25.00 1 0 11765 55.4417 E50
## 146 male 48.00 1 0 PC 17572 76.7292 D33
## 147 female 49.00 1 0 PC 17572 76.7292 D33
## 148 male NA 0 0 113796 42.4000 <NA>
## 149 male 45.00 1 0 36973 83.4750 C83
## 150 female 35.00 1 0 36973 83.4750 C83
## 151 male 40.00 0 0 112059 0.0000 B94
## 152 male 27.00 0 0 PC 17572 76.7292 D49
## 153 male NA 0 0 16988 30.0000 D45
## 154 female 24.00 0 0 11767 83.1583 C54
## 155 male 55.00 1 1 12749 93.5000 B69
## 156 female 52.00 1 1 12749 93.5000 B69
## 157 male 42.00 0 0 113038 42.5000 B11
## 158 male NA 0 0 17463 51.8625 E46
## 159 male 55.00 0 0 680 50.0000 C39
## 160 female 16.00 0 1 111361 57.9792 B18
## 161 female 44.00 0 1 111361 57.9792 B18
## 162 female 51.00 1 0 13502 77.9583 D11
## 163 male 42.00 1 0 113789 52.0000 <NA>
## 164 female 35.00 1 0 113789 52.0000 <NA>
## 165 male 35.00 0 0 111426 26.5500 <NA>
## 166 male 38.00 1 0 19943 90.0000 C93
## 167 male NA 0 0 PC 17600 30.6958 <NA>
## 168 female 35.00 1 0 19943 90.0000 C93
## 169 female 38.00 0 0 113572 80.0000 B28
## 170 female 50.00 0 0 PC 17595 28.7125 C49
## 171 male 49.00 0 0 112058 0.0000 B52 B54 B56
## 172 male 46.00 0 0 694 26.0000 <NA>
## 173 male 50.00 0 0 113044 26.0000 E60
## 174 male 32.50 0 0 113503 211.5000 C132
## 175 male 58.00 0 0 11771 29.7000 B37
## 176 male 41.00 1 0 17464 51.8625 D21
## 177 female NA 1 0 17464 51.8625 D21
## 178 male 42.00 1 0 11753 52.5542 D19
## 179 female 45.00 1 0 11753 52.5542 D19
## 180 male NA 0 0 113028 26.5500 C124
## 181 female 39.00 0 0 24160 211.3375 <NA>
## 182 female 49.00 0 0 17465 25.9292 D17
## 183 female 30.00 0 0 PC 17761 106.4250 <NA>
## 184 male 35.00 0 0 PC 17755 512.3292 B101
## 185 male NA 0 0 PC 17612 27.7208 <NA>
## 186 male 42.00 0 0 17475 26.5500 <NA>
## 187 female 55.00 0 0 112377 27.7208 <NA>
## 188 female 16.00 0 1 PC 17592 39.4000 D28
## 189 female 51.00 0 1 PC 17592 39.4000 D28
## 190 male 29.00 0 0 113501 30.0000 D6
## 191 female 21.00 0 0 13502 77.9583 D9
## 192 male 30.00 0 0 113801 45.5000 <NA>
## 193 female 58.00 0 0 PC 17569 146.5208 B80
## 194 female 15.00 0 1 24160 211.3375 B5
## 195 male 30.00 0 0 110469 26.0000 C106
## 196 female 16.00 0 0 110152 86.5000 B79
## 197 male NA 0 0 11774 29.7000 C47
## 198 male 19.00 1 0 113773 53.1000 D30
## 199 female 18.00 1 0 113773 53.1000 D30
## 200 female 24.00 0 0 PC 17482 49.5042 C90
## 201 male 46.00 0 0 13050 75.2417 C6
## 202 male 54.00 0 0 17463 51.8625 E46
## 203 male 36.00 0 0 PC 17473 26.2875 E25
## 204 male 28.00 1 0 PC 17604 82.1708 <NA>
## 205 female NA 1 0 PC 17604 82.1708 <NA>
## 206 male 65.00 0 0 13509 26.5500 E38
## 207 male 44.00 2 0 19928 90.0000 C78
## 208 female 33.00 1 0 19928 90.0000 C78
## 209 female 37.00 1 0 19928 90.0000 C78
## 210 male 30.00 1 0 13236 57.7500 C78
## 211 male 55.00 0 0 113787 30.5000 C30
## 212 male 47.00 0 0 113796 42.4000 <NA>
## 213 male 37.00 0 1 PC 17596 29.7000 C118
## 214 female 31.00 1 0 35273 113.2750 D36
## 215 female 23.00 1 0 35273 113.2750 D36
## 216 male 58.00 0 2 35273 113.2750 D48
## 217 female 19.00 0 2 11752 26.2833 D47
## 218 male 64.00 0 0 693 26.0000 <NA>
## 219 female 39.00 0 0 PC 17758 108.9000 C105
## 220 male NA 0 0 F.C. 12998 25.7417 <NA>
## 221 female 22.00 0 1 113509 61.9792 B36
## 222 male 65.00 0 1 113509 61.9792 B30
## 223 male 28.50 0 0 PC 17562 27.7208 D43
## 224 male NA 0 0 112052 0.0000 <NA>
## 225 male 45.50 0 0 113043 28.5000 C124
## 226 male 23.00 0 0 12749 93.5000 B24
## 227 male 29.00 1 0 113776 66.6000 C2
## 228 female 22.00 1 0 113776 66.6000 C2
## 229 male 18.00 1 0 PC 17758 108.9000 C65
## 230 female 17.00 1 0 PC 17758 108.9000 C65
## 231 female 30.00 0 0 12749 93.5000 B73
## 232 male 52.00 0 0 113786 30.5000 C104
## 233 male 47.00 0 0 110465 52.0000 C110
## 234 female 56.00 0 1 11767 83.1583 C50
## 235 male 38.00 0 0 19972 0.0000 <NA>
## 236 male NA 0 0 PC 17607 39.6000 <NA>
## 237 male 22.00 0 0 PC 17760 135.6333 <NA>
## 238 male NA 0 0 PC 17757 227.5250 <NA>
## 239 female 43.00 0 1 24160 211.3375 B3
## 240 male 31.00 0 0 PC 17590 50.4958 A24
## 241 male 45.00 0 0 111428 26.5500 <NA>
## 242 male NA 0 0 113767 50.0000 A32
## 243 female 33.00 0 0 PC 17613 27.7208 A11
## 244 male 46.00 0 0 PC 17585 79.2000 <NA>
## 245 male 36.00 0 0 13049 40.1250 A10
## 246 female 33.00 0 0 110152 86.5000 B77
## 247 male 55.00 1 0 PC 17603 59.4000 <NA>
## 248 female 54.00 1 0 PC 17603 59.4000 <NA>
## 249 male 33.00 0 0 113790 26.5500 <NA>
## 250 male 13.00 2 2 PC 17608 262.3750 B57 B59 B63 B66
## 251 female 18.00 2 2 PC 17608 262.3750 B57 B59 B63 B66
## 252 female 21.00 2 2 PC 17608 262.3750 B57 B59 B63 B66
## 253 male 61.00 1 3 PC 17608 262.3750 B57 B59 B63 B66
## 254 female 48.00 1 3 PC 17608 262.3750 B57 B59 B63 B66
## 255 male NA 0 0 19988 30.5000 C106
## 256 female 24.00 0 0 PC 17477 69.3000 B35
## 257 male NA 0 0 111163 26.0000 <NA>
## 258 female 35.00 1 0 13236 57.7500 C28
## 259 female 30.00 0 0 113798 31.0000 <NA>
## 260 male 34.00 0 0 113794 26.5500 <NA>
## 261 female 40.00 0 0 PC 17582 153.4625 C125
## 262 male 35.00 0 0 PC 17475 26.2875 E24
## 263 male 50.00 1 0 13507 55.9000 E44
## 264 female 39.00 1 0 13507 55.9000 E44
## 265 male 56.00 0 0 13213 35.5000 A26
## 266 male 28.00 0 0 113788 35.5000 A6
## 267 male 56.00 0 0 113792 26.5500 <NA>
## 268 male 56.00 0 0 17764 30.6958 A7
## 269 male 24.00 1 0 13695 60.0000 C31
## 270 male NA 0 0 113056 26.0000 A19
## 271 female 18.00 1 0 13695 60.0000 C31
## 272 male 24.00 1 0 21228 82.2667 B45
## 273 female 23.00 1 0 21228 82.2667 B45
## 274 male 6.00 0 2 16966 134.5000 E34
## 275 male 45.00 1 1 16966 134.5000 E34
## 276 female 40.00 1 1 16966 134.5000 E34
## 277 male 57.00 1 0 PC 17569 146.5208 B78
## 278 female NA 1 0 PC 17569 146.5208 B78
## 279 male 32.00 0 0 13214 30.5000 B50
## 280 male 62.00 0 0 113514 26.5500 C87
## 281 male 54.00 1 0 11778 55.4417 C116
## 282 female 43.00 1 0 11778 55.4417 C116
## 283 female 52.00 1 0 36947 78.2667 D20
## 284 male NA 0 0 PC 17605 27.7208 <NA>
## 285 female 62.00 0 0 113572 80.0000 B28
## 286 male 67.00 1 0 PC 17483 221.7792 C55 C57
## 287 female 63.00 1 0 PC 17483 221.7792 C55 C57
## 288 male 61.00 0 0 36963 32.3208 D50
## 289 female 48.00 0 0 17466 25.9292 D17
## 290 female 18.00 0 2 110413 79.6500 E68
## 291 male 52.00 1 1 110413 79.6500 E67
## 292 female 39.00 1 1 110413 79.6500 E67
## 293 male 48.00 1 0 19996 52.0000 C126
## 294 female NA 1 0 19996 52.0000 C126
## 295 male 49.00 1 1 17421 110.8833 C68
## 296 male 17.00 0 2 17421 110.8833 C70
## 297 female 39.00 1 1 17421 110.8833 C68
## 298 female NA 0 0 PC 17585 79.2000 <NA>
## 299 male 31.00 0 0 2543 28.5375 C53
## 300 male 40.00 0 0 PC 17601 27.7208 <NA>
## 301 male 61.00 0 0 111240 33.5000 B19
## 302 male 47.00 0 0 36967 34.0208 D46
## 303 female 35.00 0 0 PC 17755 512.3292 <NA>
## 304 male 64.00 1 0 110813 75.2500 D37
## 305 female 60.00 1 0 110813 75.2500 D37
## 306 male 60.00 0 0 113800 26.5500 <NA>
## 307 male 54.00 0 1 35281 77.2875 D26
## 308 male 21.00 0 1 35281 77.2875 D26
## 309 female 55.00 0 0 PC 17760 135.6333 C32
## 310 female 31.00 0 2 36928 164.8667 C7
## 311 male 57.00 1 1 36928 164.8667 <NA>
## 312 female 45.00 1 1 36928 164.8667 <NA>
## 313 male 50.00 1 1 113503 211.5000 C80
## 314 male 27.00 0 2 113503 211.5000 C82
## 315 female 50.00 1 1 113503 211.5000 C80
## 316 female 21.00 0 0 113795 26.5500 <NA>
## 317 male 51.00 0 1 PC 17597 61.3792 <NA>
## 318 male 21.00 0 1 PC 17597 61.3792 <NA>
## 319 male NA 0 0 113510 35.0000 C128
## 320 female 31.00 0 0 16966 134.5000 E39 E41
## 321 male NA 0 0 19947 35.5000 C52
## 322 male 62.00 0 0 113807 26.5500 <NA>
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## 324 male 30.00 1 0 P/PP 3381 24.0000 <NA>
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## 326 male 30.00 0 0 248744 13.0000 <NA>
## 327 male 18.00 0 0 231945 11.5000 <NA>
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## 330 female 36.00 1 0 226875 26.0000 <NA>
## 331 male 57.00 0 0 244346 13.0000 <NA>
## 332 male 18.00 0 0 29108 11.5000 <NA>
## 333 male 23.00 0 0 C.A. 31030 10.5000 <NA>
## 334 female 36.00 0 0 28551 13.0000 D
## 335 male 28.00 0 0 C.A./SOTON 34068 10.5000 <NA>
## 336 male 51.00 0 0 S.O.P. 1166 12.5250 <NA>
## 337 male 32.00 1 0 2908 26.0000 <NA>
## 338 female 19.00 1 0 2908 26.0000 <NA>
## 339 male 28.00 0 0 244358 26.0000 <NA>
## 340 male 1.00 2 1 230136 39.0000 F4
## 341 female 4.00 2 1 230136 39.0000 F4
## 342 female 12.00 2 1 230136 39.0000 F4
## 343 female 36.00 0 3 230136 39.0000 F4
## 344 male 34.00 0 0 248698 13.0000 D56
## 345 female 19.00 0 0 28404 13.0000 <NA>
## 346 male 23.00 0 0 28425 13.0000 <NA>
## 347 male 26.00 0 0 237670 13.0000 <NA>
## 348 male 42.00 0 0 211535 13.0000 <NA>
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## 351 female 15.00 0 2 29750 39.0000 <NA>
## 352 male 60.00 1 1 29750 39.0000 <NA>
## 353 female 40.00 1 1 29750 39.0000 <NA>
## 354 female 20.00 1 0 236853 26.0000 <NA>
## 355 male 25.00 1 0 236853 26.0000 <NA>
## 356 female 36.00 0 0 27849 13.0000 <NA>
## 357 male 25.00 0 0 234686 13.0000 <NA>
## 358 male 42.00 0 0 244310 13.0000 <NA>
## 359 female 42.00 0 0 236852 13.0000 <NA>
## 360 male 0.83 0 2 248738 29.0000 <NA>
## 361 male 26.00 1 1 248738 29.0000 <NA>
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## 363 female 35.00 0 0 F.C.C. 13528 21.0000 <NA>
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## 366 female 44.00 1 0 244252 26.0000 <NA>
## 367 male 54.00 1 0 244252 26.0000 <NA>
## 368 male 52.00 0 0 248731 13.5000 <NA>
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## 371 female 25.00 1 1 237789 30.0000 <NA>
## 372 female 45.00 0 2 237789 30.0000 <NA>
## 373 male 29.00 1 0 2003 26.0000 <NA>
## 374 female 28.00 1 0 2003 26.0000 <NA>
## 375 male 29.00 0 0 W./C. 14263 10.5000 <NA>
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## 379 male 31.00 1 1 C.A. 31921 26.2500 <NA>
## 380 female 31.00 1 1 C.A. 31921 26.2500 <NA>
## 381 female 22.00 0 0 W./C. 14266 10.5000 F33
## 382 female 30.00 0 0 237249 13.0000 <NA>
## 383 female NA 0 0 F.C.C. 13534 21.0000 <NA>
## 384 male 21.00 0 0 29107 11.5000 <NA>
## 385 male NA 0 0 239853 0.0000 <NA>
## 386 male 8.00 1 1 C.A. 33112 36.7500 <NA>
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## 394 male 25.00 0 0 C.A. 31029 31.5000 <NA>
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## 399 male 8.00 0 2 28220 32.5000 <NA>
## 400 male 42.00 1 1 28220 32.5000 <NA>
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## 409 male 18.00 0 0 C.A. 15185 10.5000 <NA>
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## 414 male 38.00 1 0 28664 21.0000 <NA>
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## 421 male 21.00 1 0 28134 11.5000 <NA>
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## 426 male 52.00 0 0 250647 13.0000 <NA>
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## 439 female 24.00 1 2 220845 65.0000 <NA>
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## 467 male 34.00 1 0 244367 26.0000 <NA>
## 468 female 24.00 1 0 244367 26.0000 <NA>
## 469 female 22.00 0 0 F.C.C. 13534 21.0000 <NA>
## 470 female NA 0 0 226593 12.3500 E101
## 471 male 35.00 0 0 233734 12.3500 <NA>
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## 474 male NA 0 0 239855 0.0000 <NA>
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## 480 female 3.00 1 2 SC/Paris 2123 41.5792 <NA>
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## 484 female NA 0 0 248727 33.0000 <NA>
## 485 female 34.00 0 0 C.A. 34260 10.5000 F33
## 486 male 36.00 0 0 SC/Paris 2163 12.8750 D
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## 491 female 57.00 0 0 S.O./P.P. 3 10.5000 E77
## 492 male NA 0 0 237735 15.0458 D
## 493 male 1.00 0 2 S.C./PARIS 2079 37.0042 <NA>
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## 519 male 19.00 1 1 C.A. 33112 36.7500 <NA>
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## 522 female 29.00 0 0 C.A. 29395 10.5000 F33
## 523 male 39.00 0 0 28213 13.0000 <NA>
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## 530 female 50.00 0 1 230433 26.0000 <NA>
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## 532 male NA 0 0 SC/PARIS 2131 15.0500 <NA>
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## 547 female 28.00 0 0 230434 13.0000 <NA>
## 548 male 23.00 0 0 SC/PARIS 2133 15.0458 <NA>
## 549 male 0.83 1 1 29106 18.7500 <NA>
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## 552 female 50.00 0 0 W./C. 14258 10.5000 <NA>
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## 568 male 25.00 0 0 F.C.C. 13540 10.5000 <NA>
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## 572 male 23.00 0 0 233639 13.0000 <NA>
## 573 female 28.00 0 0 240929 12.6500 <NA>
## 574 female 27.00 0 0 34218 10.5000 E101
## 575 male 29.00 1 0 11668 21.0000 <NA>
## 576 female 27.00 1 0 11668 21.0000 <NA>
## 577 male 40.00 0 0 28221 13.0000 <NA>
## 578 female 31.00 0 0 F.C.C. 13528 21.0000 <NA>
## 579 male 30.00 1 0 CA 31352 21.0000 <NA>
## 580 male 23.00 1 0 28666 10.5000 <NA>
## 581 female 31.00 0 0 CA 31352 21.0000 <NA>
## 582 male NA 0 0 239856 0.0000 <NA>
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## 584 female 40.00 0 0 C.A. 33595 15.7500 <NA>
## 585 female 32.50 0 0 27267 13.0000 E101
## 586 male 27.00 1 0 228414 26.0000 <NA>
## 587 female 29.00 1 0 228414 26.0000 <NA>
## 588 male 2.00 1 1 29103 23.0000 <NA>
## 589 female 4.00 1 1 29103 23.0000 <NA>
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## 591 female 0.92 1 2 C.A. 34651 27.7500 <NA>
## 592 female 5.00 1 2 C.A. 34651 27.7500 <NA>
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## 594 female 33.00 1 2 C.A. 34651 27.7500 <NA>
## 595 male 66.00 0 0 C.A. 24579 10.5000 <NA>
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## 598 male NA 0 0 244373 13.0000 <NA>
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## 605 female 16.00 0 0 348125 7.6500 <NA>
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## 607 male 20.00 0 0 SOTON/O2 3101284 7.9250 <NA>
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## 640 male 5.00 4 2 347077 31.3875 <NA>
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## 642 male 3.00 4 2 347077 31.3875 <NA>
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## 645 male 40.00 1 5 347077 31.3875 <NA>
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## 652 male 30.00 0 0 2694 7.2250 <NA>
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## 659 female 0.75 2 1 2666 19.2583 <NA>
## 660 female 5.00 2 1 2666 19.2583 <NA>
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## 662 female 18.00 0 0 A/4 31416 8.0500 <NA>
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## 680 female 9.00 1 1 2678 15.2458 <NA>
## 681 male NA 0 0 2664 7.2250 <NA>
## 682 female NA 0 2 2678 15.2458 <NA>
## 683 female NA 0 2 364848 7.7500 <NA>
## 684 male 40.00 1 1 364849 15.5000 <NA>
## 685 female 32.00 1 1 364849 15.5000 <NA>
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## 687 female 22.00 0 0 334914 7.7250 <NA>
## 688 female 20.00 0 0 347471 7.8542 <NA>
## 689 male 29.00 1 0 3460 7.0458 <NA>
## 690 male 22.00 1 0 A/5 21171 7.2500 <NA>
## 691 male 22.00 0 0 350045 7.7958 <NA>
## 692 male 35.00 0 0 364512 8.0500 <NA>
## 693 female 18.50 0 0 329944 7.2833 <NA>
## 694 male 21.00 0 0 330920 7.8208 <NA>
## 695 male 19.00 0 0 365222 6.7500 <NA>
## 696 female 18.00 0 0 330963 7.8792 <NA>
## 697 female 21.00 0 0 315087 8.6625 <NA>
## 698 female 30.00 0 0 315084 8.6625 <NA>
## 699 male 18.00 0 0 315091 8.6625 <NA>
## 700 male 38.00 0 0 315089 8.6625 <NA>
## 701 male 17.00 0 0 315093 8.6625 <NA>
## 702 male 17.00 0 0 315086 8.6625 <NA>
## 703 female 21.00 0 0 364846 7.7500 <NA>
## 704 male 21.00 0 0 364858 7.7500 <NA>
## 705 male 21.00 0 0 A./5. 2152 8.0500 <NA>
## 706 male NA 1 0 2689 14.4583 <NA>
## 707 female NA 1 0 2689 14.4583 <NA>
## 708 male 28.00 0 0 350042 7.7958 <NA>
## 709 male 24.00 0 0 350409 7.8542 <NA>
## 710 female 16.00 0 0 367231 7.7500 <NA>
## 711 female 37.00 0 0 368364 7.7500 <NA>
## 712 male 28.00 0 0 392095 7.2500 <NA>
## 713 male 24.00 0 0 343275 8.0500 <NA>
## 714 male 21.00 0 0 A/5. 13032 7.7333 <NA>
## 715 male 32.00 0 0 1601 56.4958 <NA>
## 716 male 29.00 0 0 343276 8.0500 <NA>
## 717 male 26.00 1 0 2680 14.4542 <NA>
## 718 male 18.00 1 0 2680 14.4542 <NA>
## 719 male 20.00 0 0 SOTON/O.Q. 3101307 7.0500 <NA>
## 720 male 18.00 0 0 A/5 3540 8.0500 <NA>
## 721 male 24.00 0 0 371109 7.2500 <NA>
## 722 male 36.00 0 0 349210 7.4958 <NA>
## 723 male 24.00 0 0 349209 7.4958 <NA>
## 724 male 31.00 0 0 21332 7.7333 <NA>
## 725 male 31.00 0 0 335097 7.7500 <NA>
## 726 female 22.00 0 0 370373 7.7500 <NA>
## 727 female 30.00 0 0 330972 7.6292 <NA>
## 728 male 70.50 0 0 370369 7.7500 <NA>
## 729 male 43.00 0 0 A/5 3536 8.0500 <NA>
## 730 male 35.00 0 0 349230 7.8958 <NA>
## 731 male 27.00 0 0 349229 7.8958 <NA>
## 732 male 19.00 0 0 349231 7.8958 <NA>
## 733 male 30.00 0 0 SOTON/OQ 392090 8.0500 <NA>
## 734 male 9.00 1 1 C.A. 37671 15.9000 <NA>
## 735 male 3.00 1 1 C.A. 37671 15.9000 <NA>
## 736 female 36.00 0 2 C.A. 37671 15.9000 <NA>
## 737 male 59.00 0 0 364500 7.2500 <NA>
## 738 male 19.00 0 0 S.P. 3464 8.1583 <NA>
## 739 female 17.00 0 1 371362 16.1000 <NA>
## 740 male 44.00 0 1 371362 16.1000 <NA>
## 741 male 17.00 0 0 315090 8.6625 <NA>
## 742 male 22.50 0 0 2698 7.2250 <NA>
## 743 male 45.00 0 0 7598 8.0500 <NA>
## 744 female 22.00 0 0 7552 10.5167 <NA>
## 745 male 19.00 0 0 349228 10.1708 <NA>
## 746 female 30.00 0 0 382650 6.9500 <NA>
## 747 male 29.00 0 0 382651 7.7500 <NA>
## 748 male 0.33 0 2 347080 14.4000 <NA>
## 749 male 34.00 1 1 347080 14.4000 <NA>
## 750 female 28.00 1 1 347080 14.4000 <NA>
## 751 male 27.00 0 0 349219 7.8958 <NA>
## 752 male 25.00 0 0 349203 7.8958 <NA>
## 753 male 24.00 2 0 A/4 48871 24.1500 <NA>
## 754 male 22.00 0 0 SC/A4 23568 8.0500 <NA>
## 755 male 21.00 2 0 A/4 48871 24.1500 <NA>
## 756 male 17.00 2 0 A/4 48873 8.0500 <NA>
## 757 male NA 1 0 386525 16.1000 <NA>
## 758 female NA 1 0 386525 16.1000 <NA>
## 759 male 36.50 1 0 345572 17.4000 <NA>
## 760 female 36.00 1 0 345572 17.4000 <NA>
## 761 male 30.00 0 0 345774 9.5000 <NA>
## 762 male 16.00 0 0 345778 9.5000 <NA>
## 763 male 1.00 1 2 C.A. 2315 20.5750 <NA>
## 764 female 0.17 1 2 C.A. 2315 20.5750 <NA>
## 765 male 26.00 1 2 C.A. 2315 20.5750 <NA>
## 766 female 33.00 1 2 C.A. 2315 20.5750 <NA>
## 767 male 25.00 0 0 349250 7.8958 <NA>
## 768 male NA 0 0 349238 7.8958 <NA>
## 769 male NA 0 0 349225 7.8958 <NA>
## 770 male 22.00 0 0 A/5 21172 7.2500 <NA>
## 771 male 36.00 0 0 A/5 21175 7.2500 <NA>
## 772 female 19.00 0 0 330958 7.8792 <NA>
## 773 male 17.00 0 0 349232 7.8958 <NA>
## 774 male 42.00 0 0 315088 8.6625 <NA>
## 775 male 43.00 0 0 349226 7.8958 <NA>
## 776 male NA 0 0 2686 7.2292 <NA>
## 777 male 32.00 0 0 370376 7.7500 <NA>
## 778 male 19.00 0 0 A/5. 10482 8.0500 <NA>
## 779 female 30.00 0 0 364516 12.4750 <NA>
## 780 female 24.00 0 0 368702 7.7500 <NA>
## 781 female 23.00 0 0 SOTON/OQ 392083 8.0500 <NA>
## 782 male 33.00 0 0 349241 7.8958 <NA>
## 783 male 65.00 0 0 336439 7.7500 <NA>
## 784 male 24.00 0 0 S.O./P.P. 752 7.5500 <NA>
## 785 male 23.00 1 0 347072 13.9000 <NA>
## 786 female 22.00 1 0 347072 13.9000 <NA>
## 787 male 18.00 0 0 349912 7.7750 <NA>
## 788 male 16.00 0 0 347074 7.7750 <NA>
## 789 male 45.00 0 0 347061 6.9750 <NA>
## 790 male NA 0 0 2674 7.2250 <NA>
## 791 male 39.00 0 2 2675 7.2292 <NA>
## 792 male 17.00 1 1 2690 7.2292 <NA>
## 793 male 15.00 1 1 2695 7.2292 <NA>
## 794 male 47.00 0 0 A/5 3902 7.2500 <NA>
## 795 female 5.00 0 0 364516 12.4750 <NA>
## 796 male NA 0 0 2631 7.2250 <NA>
## 797 male 40.50 0 0 C.A. 6212 15.1000 <NA>
## 798 male 40.50 0 0 367232 7.7500 <NA>
## 799 male NA 0 0 SOTON/O.Q. 3101308 7.0500 <NA>
## 800 male 18.00 0 0 350036 7.7958 <NA>
## 801 female NA 0 0 364859 7.7500 <NA>
## 802 male NA 0 0 364851 7.7500 <NA>
## 803 male NA 0 0 368323 6.9500 <NA>
## 804 male 26.00 0 0 330910 7.8792 <NA>
## 805 male NA 0 0 365235 7.7500 <NA>
## 806 male NA 0 0 1601 56.4958 <NA>
## 807 female 21.00 2 2 W./C. 6608 34.3750 <NA>
## 808 female 9.00 2 2 W./C. 6608 34.3750 <NA>
## 809 male NA 0 0 A/5 1478 8.0500 <NA>
## 810 male 18.00 2 2 W./C. 6608 34.3750 <NA>
## 811 male 16.00 1 3 W./C. 6608 34.3750 <NA>
## 812 female 48.00 1 3 W./C. 6608 34.3750 <NA>
## 813 male NA 0 0 368573 7.7500 <NA>
## 814 male NA 0 0 SOTON/O.Q. 3101314 7.2500 <NA>
## 815 male 25.00 0 0 36864 7.7417 <NA>
## 816 male NA 0 0 358585 14.5000 <NA>
## 817 male NA 0 0 349254 7.8958 <NA>
## 818 male 22.00 0 0 14973 8.0500 <NA>
## 819 female 16.00 0 0 35851 7.7333 <NA>
## 820 female NA 0 0 335677 7.7500 <NA>
## 821 male 9.00 0 2 363291 20.5250 <NA>
## 822 male 33.00 1 1 363291 20.5250 <NA>
## 823 male 41.00 0 0 SOTON/O.Q. 3101263 7.8500 <NA>
## 824 female 31.00 1 1 363291 20.5250 <NA>
## 825 male 38.00 0 0 SOTON/O.Q. 3101306 7.0500 <NA>
## 826 male 9.00 5 2 CA 2144 46.9000 <NA>
## 827 male 1.00 5 2 CA 2144 46.9000 <NA>
## 828 male 11.00 5 2 CA 2144 46.9000 <NA>
## 829 female 10.00 5 2 CA 2144 46.9000 <NA>
## 830 female 16.00 5 2 CA 2144 46.9000 <NA>
## 831 male 14.00 5 2 CA 2144 46.9000 <NA>
## 832 male 40.00 1 6 CA 2144 46.9000 <NA>
## 833 female 43.00 1 6 CA 2144 46.9000 <NA>
## 834 male 51.00 0 0 21440 8.0500 <NA>
## 835 male 32.00 0 0 8471 8.3625 <NA>
## 836 male NA 0 0 376563 8.0500 <NA>
## 837 male 20.00 0 0 7534 9.8458 <NA>
## 838 male 37.00 2 0 3101276 7.9250 <NA>
## 839 male 28.00 2 0 3101277 7.9250 <NA>
## 840 male 19.00 0 0 347069 7.7750 <NA>
## 841 female 24.00 0 0 349236 8.8500 <NA>
## 842 female 17.00 0 0 AQ/3. 30631 7.7333 <NA>
## 843 male NA 1 0 65303 19.9667 <NA>
## 844 male NA 1 0 65304 19.9667 <NA>
## 845 male 28.00 1 0 STON/O2. 3101279 15.8500 <NA>
## 846 female 24.00 1 0 STON/O2. 3101279 15.8500 <NA>
## 847 male 20.00 0 0 345769 9.5000 <NA>
## 848 male 23.50 0 0 2693 7.2292 <NA>
## 849 male 41.00 2 0 350026 14.1083 <NA>
## 850 male 26.00 1 0 350025 7.8542 <NA>
## 851 male 21.00 0 0 350029 7.8542 <NA>
## 852 female 45.00 1 0 350026 14.1083 <NA>
## 853 female NA 0 0 W./C. 6609 7.5500 <NA>
## 854 male 25.00 0 0 374887 7.2500 <NA>
## 855 male NA 0 0 394140 6.8583 <NA>
## 856 male 11.00 0 0 2699 18.7875 <NA>
## 857 female NA 0 0 370375 7.7500 <NA>
## 858 male 27.00 0 0 347089 6.9750 <NA>
## 859 male NA 0 0 1601 56.4958 <NA>
## 860 female 18.00 0 0 365226 6.7500 <NA>
## 861 female 26.00 0 0 STON/O2. 3101282 7.9250 <NA>
## 862 female 23.00 0 0 STON/O2. 3101290 7.9250 <NA>
## 863 female 22.00 0 0 7548 8.9625 <NA>
## 864 male 28.00 0 0 349243 7.8958 <NA>
## 865 female 28.00 0 0 347086 7.7750 <NA>
## 866 female NA 0 0 382649 7.7500 <NA>
## 867 female 2.00 0 1 3101298 12.2875 <NA>
## 868 female 22.00 1 1 3101298 12.2875 <NA>
## 869 male 43.00 0 0 C 7075 6.4500 <NA>
## 870 male 28.00 0 0 C 4001 22.5250 <NA>
## 871 female 27.00 0 0 STON/O2. 3101283 7.9250 <NA>
## 872 male NA 0 0 370377 7.7500 <NA>
## 873 female NA 0 0 A. 2. 39186 8.0500 <NA>
## 874 male 42.00 0 0 348121 7.6500 F G63
## 875 male NA 0 0 3470 7.8875 <NA>
## 876 male 30.00 0 0 2685 7.2292 <NA>
## 877 male NA 0 0 349220 7.8958 <NA>
## 878 female 27.00 1 0 STON/O2. 3101270 7.9250 <NA>
## 879 female 25.00 1 0 STON/O2. 3101271 7.9250 <NA>
## 880 male NA 0 0 349201 7.8958 <NA>
## 881 male 29.00 0 0 349240 7.8958 <NA>
## 882 male 21.00 0 0 350034 7.7958 <NA>
## 883 male NA 0 0 SOTON/O.Q. 3101305 7.0500 <NA>
## 884 male 20.00 0 0 350050 7.8542 <NA>
## 885 male 48.00 0 0 350047 7.8542 <NA>
## 886 male 17.00 1 0 350048 7.0542 <NA>
## 887 female NA 0 0 14313 7.7500 <NA>
## 888 male NA 0 0 65306 8.1125 <NA>
## 889 male 34.00 0 0 3101264 6.4958 <NA>
## 890 male 26.00 0 0 347070 7.7750 <NA>
## 891 male 22.00 0 0 350052 7.7958 <NA>
## 892 male 33.00 0 0 7540 8.6542 <NA>
## 893 male 31.00 0 0 347063 7.7750 <NA>
## 894 male 29.00 0 0 347467 7.8542 <NA>
## 895 male 4.00 1 1 347742 11.1333 <NA>
## 896 female 1.00 1 1 347742 11.1333 <NA>
## 897 male 49.00 0 0 LINE 0.0000 <NA>
## 898 male 33.00 0 0 347062 7.7750 <NA>
## 899 male 19.00 0 0 LINE 0.0000 <NA>
## 900 female 27.00 0 2 347742 11.1333 <NA>
## 901 male NA 1 2 W./C. 6607 23.4500 <NA>
## 902 female NA 1 2 W./C. 6607 23.4500 <NA>
## 903 male NA 1 2 W./C. 6607 23.4500 <NA>
## 904 female NA 1 2 W./C. 6607 23.4500 <NA>
## 905 male 23.00 0 0 349204 7.8958 <NA>
## 906 male 32.00 0 0 350417 7.8542 <NA>
## 907 male 27.00 0 0 350408 7.8542 <NA>
## 908 female 20.00 1 0 4136 9.8250 <NA>
## 909 female 21.00 1 0 4137 9.8250 <NA>
## 910 male 32.00 0 0 STON/O 2. 3101286 7.9250 <NA>
## 911 male 17.00 0 0 STON/O 2. 3101274 7.1250 <NA>
## 912 male 21.00 0 0 8475 8.4333 <NA>
## 913 male 30.00 0 0 349246 7.8958 <NA>
## 914 male 21.00 0 0 350053 7.7958 <NA>
## 915 male 33.00 0 0 347465 7.8542 <NA>
## 916 male 22.00 0 0 350060 7.5208 <NA>
## 917 female 4.00 0 1 349256 13.4167 <NA>
## 918 male 39.00 0 1 349256 13.4167 <NA>
## 919 male NA 0 0 2700 7.2292 <NA>
## 920 male 18.50 0 0 2682 7.2292 <NA>
## 921 male NA 0 0 12460 7.7500 <NA>
## 922 male NA 0 0 323592 7.2500 <NA>
## 923 female NA 0 0 9234 7.7500 <NA>
## 924 female NA 0 0 14312 7.7500 <NA>
## 925 male 34.50 0 0 330911 7.8292 <NA>
## 926 male 44.00 0 0 363592 8.0500 <NA>
## 927 male NA 0 0 368783 7.7500 <NA>
## 928 male NA 1 0 2660 14.4542 <NA>
## 929 female NA 1 0 2660 14.4542 <NA>
## 930 male NA 1 0 367227 7.7500 <NA>
## 931 male NA 1 0 367229 7.7500 <NA>
## 932 male NA 0 0 36865 7.7375 <NA>
## 933 female 22.00 2 0 315152 8.6625 <NA>
## 934 male 26.00 2 0 315151 8.6625 <NA>
## 935 female 4.00 0 2 315153 22.0250 <NA>
## 936 male 29.00 3 1 315153 22.0250 <NA>
## 937 female 26.00 1 1 315153 22.0250 <NA>
## 938 female 1.00 1 1 350405 12.1833 <NA>
## 939 male 18.00 1 1 350404 7.8542 <NA>
## 940 female 36.00 0 2 350405 12.1833 <NA>
## 941 male NA 0 0 349253 7.8958 <NA>
## 942 male 25.00 0 0 2654 7.2292 F E57
## 943 male NA 0 0 2624 7.2250 <NA>
## 944 female 37.00 0 0 4135 9.5875 <NA>
## 945 male NA 0 0 349217 7.8958 <NA>
## 946 male NA 0 0 1601 56.4958 <NA>
## 947 male NA 0 0 1601 56.4958 <NA>
## 948 female 22.00 0 0 C 7077 7.2500 <NA>
## 949 male NA 0 0 7935 7.7500 <NA>
## 950 male 26.00 0 0 1601 56.4958 <NA>
## 951 male 29.00 0 0 7545 9.4833 <NA>
## 952 male 29.00 0 0 347067 7.7750 <NA>
## 953 male 22.00 0 0 347065 7.7750 <NA>
## 954 male 22.00 0 0 2620 7.2250 <NA>
## 955 male NA 3 1 4133 25.4667 <NA>
## 956 female NA 3 1 4133 25.4667 <NA>
## 957 female NA 3 1 4133 25.4667 <NA>
## 958 female NA 3 1 4133 25.4667 <NA>
## 959 female NA 0 4 4133 25.4667 <NA>
## 960 male 32.00 0 0 STON/O 2. 3101292 7.9250 <NA>
## 961 male 34.50 0 0 2683 6.4375 <NA>
## 962 female NA 1 0 370371 15.5000 <NA>
## 963 male NA 1 0 370371 15.5000 <NA>
## 964 male 36.00 0 0 LINE 0.0000 <NA>
## 965 male 39.00 0 0 A/4 48871 24.1500 <NA>
## 966 male 24.00 0 0 345781 9.5000 <NA>
## 967 female 25.00 0 0 347071 7.7750 <NA>
## 968 female 45.00 0 0 347073 7.7500 <NA>
## 969 male 36.00 1 0 349910 15.5500 <NA>
## 970 female 30.00 1 0 349910 15.5500 <NA>
## 971 male 20.00 1 0 STON/O 2. 3101285 7.9250 <NA>
## 972 male NA 0 0 330971 7.8792 <NA>
## 973 male 28.00 0 0 1601 56.4958 <NA>
## 974 male NA 0 0 S.O./P.P. 251 7.5500 <NA>
## 975 male 30.00 1 0 A/5. 3336 16.1000 <NA>
## 976 female 26.00 1 0 A/5. 3336 16.1000 <NA>
## 977 male NA 0 0 1222 7.8792 <NA>
## 978 male 20.50 0 0 A/5 21173 7.2500 <NA>
## 979 male 27.00 0 0 315098 8.6625 <NA>
## 980 male 51.00 0 0 347743 7.0542 <NA>
## 981 female 23.00 0 0 347469 7.8542 <NA>
## 982 male 32.00 0 0 350403 7.5792 <NA>
## 983 male NA 0 0 349235 7.8958 <NA>
## 984 male NA 0 0 C.A. 42795 7.5500 <NA>
## 985 female NA 0 0 370370 7.7500 <NA>
## 986 male 24.00 0 0 C 17369 7.1417 <NA>
## 987 male 22.00 0 0 STON/O 2. 3101275 7.1250 <NA>
## 988 female NA 0 0 330924 7.8792 <NA>
## 989 male NA 0 0 AQ/4 3130 7.7500 <NA>
## 990 male NA 0 0 A/S 2816 8.0500 <NA>
## 991 male 29.00 0 0 STON/O 2. 3101268 7.9250 <NA>
## 992 male NA 0 0 2677 7.2292 <NA>
## 993 female 30.50 0 0 364850 7.7500 <NA>
## 994 female NA 0 0 36866 7.7375 <NA>
## 995 male NA 0 0 2655 7.2292 F E46
## 996 male 35.00 0 0 349213 7.8958 <NA>
## 997 male 33.00 0 0 349257 7.8958 <NA>
## 998 female NA 0 0 2649 7.2250 <NA>
## 999 male NA 0 0 349255 7.8958 <NA>
## 1000 female NA 0 0 383123 7.7500 <NA>
## 1001 male NA 0 0 367228 7.7500 <NA>
## 1002 female NA 2 0 367226 23.2500 <NA>
## 1003 female NA 2 0 367226 23.2500 <NA>
## 1004 male NA 2 0 367226 23.2500 <NA>
## 1005 female NA 0 0 330932 7.7875 <NA>
## 1006 male NA 0 0 36568 15.5000 <NA>
## 1007 female NA 0 0 330931 7.8792 <NA>
## 1008 female 15.00 0 0 330923 8.0292 <NA>
## 1009 female 35.00 0 0 9232 7.7500 <NA>
## 1010 male NA 0 0 370372 7.7500 <NA>
## 1011 male 24.00 1 0 376566 16.1000 <NA>
## 1012 female 19.00 1 0 376566 16.1000 <NA>
## 1013 female NA 0 0 370368 7.7500 <NA>
## 1014 female NA 0 0 SOTON/O.Q. 392087 8.0500 <NA>
## 1015 female NA 0 0 343095 8.0500 <NA>
## 1016 male 55.50 0 0 A.5. 11206 8.0500 <NA>
## 1017 male NA 0 0 368703 7.7500 <NA>
## 1018 male 21.00 0 0 345501 7.7750 <NA>
## 1019 male NA 0 0 359306 8.0500 <NA>
## 1020 male 24.00 0 0 349233 7.8958 <NA>
## 1021 male 21.00 0 0 349211 7.8958 <NA>
## 1022 male 28.00 0 0 349207 7.8958 <NA>
## 1023 male NA 0 0 349221 7.8958 <NA>
## 1024 female NA 0 0 330980 7.8792 <NA>
## 1025 male 25.00 0 0 348123 7.6500 F G73
## 1026 male 6.00 0 1 392096 12.4750 E121
## 1027 female 27.00 0 1 392096 12.4750 E121
## 1028 male NA 0 0 A4. 54510 8.0500 <NA>
## 1029 female NA 1 0 371110 24.1500 <NA>
## 1030 male NA 1 0 371110 24.1500 <NA>
## 1031 male NA 0 0 330877 8.4583 <NA>
## 1032 male 34.00 0 0 364506 8.0500 <NA>
## 1033 male NA 0 0 372622 7.7500 <NA>
## 1034 male NA 0 0 312991 7.7750 <NA>
## 1035 male NA 1 1 2661 15.2458 <NA>
## 1036 male NA 1 1 2661 15.2458 <NA>
## 1037 female NA 0 2 2661 15.2458 <NA>
## 1038 female NA 0 0 2626 7.2292 <NA>
## 1039 male NA 0 0 374746 8.0500 <NA>
## 1040 female NA 0 0 35852 7.7333 <NA>
## 1041 female 24.00 0 0 382653 7.7500 <NA>
## 1042 male NA 0 0 A./5. 3235 8.0500 <NA>
## 1043 female NA 1 0 367230 15.5000 <NA>
## 1044 female NA 1 0 367230 15.5000 <NA>
## 1045 female NA 0 0 36568 15.5000 <NA>
## 1046 male 18.00 0 0 347078 7.7500 <NA>
## 1047 male 22.00 0 0 349206 7.8958 <NA>
## 1048 female 15.00 0 0 2667 7.2250 <NA>
## 1049 female 1.00 0 2 2653 15.7417 <NA>
## 1050 male 20.00 1 1 2653 15.7417 <NA>
## 1051 female 19.00 1 1 2653 15.7417 <NA>
## 1052 male 33.00 0 0 A./5. 3338 8.0500 <NA>
## 1053 male NA 0 0 349218 7.8958 <NA>
## 1054 male NA 0 0 2652 7.2292 <NA>
## 1055 female NA 0 0 365237 7.7500 <NA>
## 1056 male NA 0 0 349234 7.8958 <NA>
## 1057 male 12.00 1 0 2651 11.2417 <NA>
## 1058 female 14.00 1 0 2651 11.2417 <NA>
## 1059 female 29.00 0 0 3101297 7.9250 <NA>
## 1060 male 28.00 0 0 363611 8.0500 <NA>
## 1061 female 18.00 0 0 347066 7.7750 <NA>
## 1062 female 26.00 0 0 347470 7.8542 <NA>
## 1063 male 21.00 0 0 350410 7.8542 <NA>
## 1064 male 41.00 0 0 SOTON/O2 3101272 7.1250 <NA>
## 1065 male 39.00 0 0 STON/O 2. 3101289 7.9250 <NA>
## 1066 male 21.00 0 0 A/4. 39886 7.8000 <NA>
## 1067 male 28.50 0 0 2697 7.2292 <NA>
## 1068 female 22.00 0 0 347081 7.7500 <NA>
## 1069 male 61.00 0 0 345364 6.2375 <NA>
## 1070 male NA 1 0 370365 15.5000 <NA>
## 1071 male NA 0 0 330979 7.8292 <NA>
## 1072 female NA 1 0 370365 15.5000 <NA>
## 1073 male NA 0 0 334912 7.7333 <NA>
## 1074 male NA 0 0 371060 7.7500 <NA>
## 1075 male NA 0 0 366713 7.7500 <NA>
## 1076 male 23.00 0 0 7267 9.2250 <NA>
## 1077 female NA 0 0 364856 7.7500 <NA>
## 1078 female NA 0 0 14311 7.7500 <NA>
## 1079 female NA 0 0 330959 7.8792 <NA>
## 1080 female 22.00 0 0 347085 7.7750 <NA>
## 1081 male NA 0 0 368402 7.7500 <NA>
## 1082 female NA 0 0 330919 7.8292 <NA>
## 1083 male 9.00 0 1 C 17368 3.1708 <NA>
## 1084 male 28.00 0 0 C 4001 22.5250 <NA>
## 1085 male 42.00 0 1 4579 8.4042 <NA>
## 1086 male NA 0 0 Fa 265302 7.3125 <NA>
## 1087 female 31.00 0 0 350407 7.8542 <NA>
## 1088 male 28.00 0 0 347464 7.8542 <NA>
## 1089 male 32.00 0 0 347079 7.7750 <NA>
## 1090 male 20.00 0 0 6563 9.2250 <NA>
## 1091 female 23.00 0 0 315085 8.6625 <NA>
## 1092 female 20.00 0 0 315096 8.6625 <NA>
## 1093 male 20.00 0 0 315094 8.6625 <NA>
## 1094 male 16.00 0 0 7534 9.2167 <NA>
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## 1117 male NA 0 0 A/5 2817 8.0500 <NA>
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## 1127 female 28.00 0 0 349245 7.8958 <NA>
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## 1133 male NA 0 0 349227 7.8958 <NA>
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## 1136 male NA 0 0 349223 7.8958 <NA>
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## 1139 male NA 0 0 362316 7.2500 <NA>
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## 1151 male NA 0 0 364498 14.5000 <NA>
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## 1153 male 50.00 1 0 A/5. 3337 14.5000 <NA>
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## 1155 male NA 0 0 S.C./A.4. 23567 8.0500 <NA>
## 1156 male NA 0 0 312993 7.7750 <NA>
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## 1161 male 50.00 0 0 A/5 3594 8.0500 <NA>
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## 1164 male NA 0 0 371110 24.1500 <NA>
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## 1173 female NA 8 2 CA. 2343 69.5500 <NA>
## 1174 female NA 8 2 CA. 2343 69.5500 <NA>
## 1175 female NA 8 2 CA. 2343 69.5500 <NA>
## 1176 female NA 8 2 CA. 2343 69.5500 <NA>
## 1177 male NA 8 2 CA. 2343 69.5500 <NA>
## 1178 male NA 8 2 CA. 2343 69.5500 <NA>
## 1179 male NA 8 2 CA. 2343 69.5500 <NA>
## 1180 male NA 1 9 CA. 2343 69.5500 <NA>
## 1181 female NA 1 9 CA. 2343 69.5500 <NA>
## 1182 male 24.00 0 0 7266 9.3250 <NA>
## 1183 female 21.00 0 0 343120 7.6500 <NA>
## 1184 male 39.00 0 0 3101296 7.9250 <NA>
## 1185 male NA 2 0 2662 21.6792 <NA>
## 1186 male NA 2 0 2662 21.6792 <NA>
## 1187 male NA 2 0 2662 21.6792 <NA>
## 1188 female 1.00 1 1 PP 9549 16.7000 G6
## 1189 female 24.00 0 2 PP 9549 16.7000 G6
## 1190 female 4.00 1 1 PP 9549 16.7000 G6
## 1191 male 25.00 0 0 345768 9.5000 <NA>
## 1192 male 20.00 0 0 A/5. 2151 8.0500 <NA>
## 1193 male 24.50 0 0 342826 8.0500 <NA>
## 1194 male NA 0 0 36209 7.7250 <NA>
## 1195 male NA 0 0 349222 7.8958 <NA>
## 1196 male NA 0 0 370374 7.7500 <NA>
## 1197 male 29.00 0 0 345779 9.5000 <NA>
## 1198 male NA 0 0 C.A. 6212 15.1000 <NA>
## 1199 female NA 0 0 330968 7.7792 <NA>
## 1200 male NA 0 0 374910 8.0500 <NA>
## 1201 male NA 0 0 SOTON/OQ 392082 8.0500 <NA>
## 1202 male 22.00 0 0 2669 7.2292 <NA>
## 1203 male NA 0 0 392092 8.0500 <NA>
## 1204 male 40.00 0 0 349251 7.8958 <NA>
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## 1211 male 40.00 1 4 347088 27.9000 <NA>
## 1212 female 45.00 1 4 347088 27.9000 <NA>
## 1213 male NA 0 0 349214 7.8958 <NA>
## 1214 male NA 0 0 SOTON/OQ 392086 8.0500 <NA>
## 1215 male NA 0 0 315037 8.6625 <NA>
## 1216 male NA 0 0 384461 7.7500 <NA>
## 1217 female NA 0 0 335432 7.7333 <NA>
## 1218 male 19.00 0 0 348124 7.6500 F G73
## 1219 male 30.00 0 0 A.5. 18509 8.0500 <NA>
## 1220 male NA 0 0 A.5. 3236 8.0500 <NA>
## 1221 male 32.00 0 0 STON/OQ. 369943 8.0500 <NA>
## 1222 male NA 0 0 349208 7.8958 <NA>
## 1223 male 33.00 0 0 349239 8.6625 <NA>
## 1224 female 23.00 0 0 CA. 2314 7.5500 <NA>
## 1225 male 21.00 0 0 A/4 45380 8.0500 <NA>
## 1226 male 60.50 0 0 3701 NA <NA>
## 1227 male 19.00 0 0 349205 7.8958 <NA>
## 1228 female 22.00 0 0 7553 9.8375 <NA>
## 1229 male 31.00 0 0 STON/O 2. 3101288 7.9250 <NA>
## 1230 male 27.00 0 0 315083 8.6625 <NA>
## 1231 female 2.00 0 1 347054 10.4625 G6
## 1232 female 29.00 1 1 347054 10.4625 G6
## 1233 male 16.00 0 0 SOTON/OQ 392089 8.0500 <NA>
## 1234 male 44.00 0 0 STON/O 2. 3101269 7.9250 <NA>
## 1235 male 25.00 0 0 SOTON/OQ 392076 7.0500 <NA>
## 1236 male 74.00 0 0 347060 7.7750 <NA>
## 1237 male 14.00 0 0 7538 9.2250 <NA>
## 1238 male 24.00 0 0 350035 7.7958 <NA>
## 1239 male 25.00 0 0 350033 7.7958 <NA>
## 1240 male 34.00 0 0 363294 8.0500 <NA>
## 1241 male 0.42 0 1 2625 8.5167 <NA>
## 1242 male NA 1 0 2621 6.4375 <NA>
## 1243 male NA 0 0 2681 6.4375 <NA>
## 1244 male NA 0 0 2684 7.2250 <NA>
## 1245 female 16.00 1 1 2625 8.5167 <NA>
## 1246 male NA 0 0 32302 8.0500 <NA>
## 1247 male NA 1 0 376564 16.1000 <NA>
## 1248 female NA 1 0 376564 16.1000 <NA>
## 1249 male 32.00 0 0 STON/O 2. 3101293 7.9250 <NA>
## 1250 male NA 0 0 383121 7.7500 F38
## 1251 male NA 0 0 349216 7.8958 <NA>
## 1252 male 30.50 0 0 364499 8.0500 <NA>
## 1253 male 44.00 0 0 364511 8.0500 <NA>
## 1254 male NA 0 0 2673 7.2292 <NA>
## 1255 male 25.00 0 0 LINE 0.0000 <NA>
## 1256 male NA 0 0 2641 7.2292 <NA>
## 1257 male 7.00 1 1 2650 15.2458 <NA>
## 1258 female 9.00 1 1 2650 15.2458 <NA>
## 1259 female 29.00 0 2 2650 15.2458 <NA>
## 1260 male 36.00 0 0 349247 7.8958 <NA>
## 1261 female 18.00 0 0 4138 9.8417 <NA>
## 1262 female 63.00 0 0 4134 9.5875 <NA>
## 1263 male NA 1 1 A/5. 851 14.5000 <NA>
## 1264 male 11.50 1 1 A/5. 851 14.5000 <NA>
## 1265 male 40.50 0 2 A/5. 851 14.5000 <NA>
## 1266 female 10.00 0 2 345773 24.1500 <NA>
## 1267 male 36.00 1 1 345773 24.1500 <NA>
## 1268 female 30.00 1 1 345773 24.1500 <NA>
## 1269 male NA 0 0 345777 9.5000 <NA>
## 1270 male 33.00 0 0 345780 9.5000 <NA>
## 1271 male 28.00 0 0 345770 9.5000 <NA>
## 1272 male 28.00 0 0 345783 9.5000 <NA>
## 1273 male 47.00 0 0 345765 9.0000 <NA>
## 1274 female 18.00 2 0 345764 18.0000 <NA>
## 1275 male 31.00 3 0 345763 18.0000 <NA>
## 1276 male 16.00 2 0 345764 18.0000 <NA>
## 1277 female 31.00 1 0 345763 18.0000 <NA>
## 1278 male 22.00 0 0 2658 7.2250 <NA>
## 1279 male 20.00 0 0 350416 7.8542 <NA>
## 1280 female 14.00 0 0 350406 7.8542 <NA>
## 1281 male 22.00 0 0 349252 7.8958 <NA>
## 1282 male 22.00 0 0 345767 9.0000 <NA>
## 1283 male NA 0 0 359309 8.0500 <NA>
## 1284 male NA 0 0 C.A. 49867 7.5500 <NA>
## 1285 male NA 0 0 SOTON/OQ 3101316 8.0500 <NA>
## 1286 male 32.50 0 0 345775 9.5000 <NA>
## 1287 female 38.00 0 0 2688 7.2292 <NA>
## 1288 male 51.00 0 0 347064 7.7500 <NA>
## 1289 male 18.00 1 0 3101267 6.4958 <NA>
## 1290 male 21.00 1 0 3101266 6.4958 <NA>
## 1291 female 47.00 1 0 363272 7.0000 <NA>
## 1292 male NA 0 0 3410 8.7125 <NA>
## 1293 male NA 0 0 S.O./P.P. 751 7.5500 <NA>
## 1294 male NA 0 0 A/5 2466 8.0500 <NA>
## 1295 male 28.50 0 0 54636 16.1000 <NA>
## 1296 male 21.00 0 0 SOTON/OQ 3101317 7.2500 <NA>
## 1297 male 27.00 0 0 315154 8.6625 <NA>
## 1298 male NA 0 0 A/4. 34244 7.2500 <NA>
## 1299 male 36.00 0 0 345771 9.5000 <NA>
## 1300 male 27.00 1 0 2659 14.4542 <NA>
## 1301 female 15.00 1 0 2659 14.4542 <NA>
## 1302 male 45.50 0 0 2628 7.2250 <NA>
## 1303 male NA 0 0 2647 7.2250 <NA>
## 1304 male NA 0 0 2627 14.4583 <NA>
## 1305 female 14.50 1 0 2665 14.4542 <NA>
## 1306 female NA 1 0 2665 14.4542 <NA>
## 1307 male 26.50 0 0 2656 7.2250 <NA>
## 1308 male 27.00 0 0 2670 7.2250 <NA>
## 1309 male 29.00 0 0 315082 7.8750 <NA>
## embarked boat body home.dest
## 1 S 2 NA St Louis, MO
## 2 S 11 NA Montreal, PQ / Chesterville, ON
## 3 S <NA> NA Montreal, PQ / Chesterville, ON
## 4 S <NA> 135 Montreal, PQ / Chesterville, ON
## 5 S <NA> NA Montreal, PQ / Chesterville, ON
## 6 S 3 NA New York, NY
## 7 S 10 NA Hudson, NY
## 8 S <NA> NA Belfast, NI
## 9 S D NA Bayside, Queens, NY
## 10 C <NA> 22 Montevideo, Uruguay
## 11 C <NA> 124 New York, NY
## 12 C 4 NA New York, NY
## 13 C 9 NA Paris, France
## 14 S 6 NA <NA>
## 15 S B NA Hessle, Yorks
## 16 S <NA> NA New York, NY
## 17 C <NA> NA Montreal, PQ
## 18 C 6 NA Montreal, PQ
## 19 C 8 NA <NA>
## 20 C A NA Winnipeg, MN
## 21 S 5 NA New York, NY
## 22 S 5 NA New York, NY
## 23 C 5 NA New York, NY
## 24 C 4 NA <NA>
## 25 S 8 NA <NA>
## 26 C <NA> 148 San Francisco, CA
## 27 C 7 NA Dowagiac, MI
## 28 C 7 NA Dowagiac, MI
## 29 S 8 NA <NA>
## 30 S D NA Stockholm, Sweden / Washington, DC
## 31 S <NA> NA Trenton, NJ
## 32 C 7 NA Glen Ridge, NJ
## 33 S 8 NA Youngstown, OH
## 34 S 8 NA Birkdale, England Cleveland, Ohio
## 35 S <NA> NA London / Winnipeg, MB
## 36 C 4 NA Cooperstown, NY
## 37 S 6 NA St Leonards-on-Sea, England Ohio
## 38 S 9 NA Los Angeles, CA
## 39 S <NA> NA Pomeroy, WA
## 40 C <NA> 208 Omaha, NE
## 41 C <NA> NA Philadelphia, PA
## 42 C 6 NA Denver, CO
## 43 S D NA Belmont, MA
## 44 C 8 NA Philadelphia, PA
## 45 C 3 NA <NA>
## 46 S <NA> NA Washington, DC
## 47 S <NA> NA <NA>
## 48 S 5 NA New York, NY
## 49 C 6 NA Washington, DC
## 50 C 3 NA Austria-Hungary / Germantown, Philadelphia, PA
## 51 C 3 NA Germantown, Philadelphia, PA
## 52 S <NA> NA New York, NY
## 53 S <NA> NA Montevideo, Uruguay
## 54 S <NA> NA Montevideo, Uruguay
## 55 S 4 NA Bryn Mawr, PA
## 56 S 4 NA Bryn Mawr, PA
## 57 S C NA Bryn Mawr, PA
## 58 S 4 NA Bryn Mawr, PA
## 59 S <NA> NA Ascot, Berkshire / Rochester, NY
## 60 C 5 NA New York, NY
## 61 S <NA> 172 Little Onn Hall, Staffs
## 62 S 6 NA Little Onn Hall, Staffs
## 63 S <NA> NA Amenia, ND
## 64 S 4 NA Amenia, ND
## 65 S 5 NA New York, NY / Ithaca, NY
## 66 S 5 NA New York, NY / Ithaca, NY
## 67 C 4 NA <NA>
## 68 S 8 NA London, England
## 69 C 7 NA Paris, France
## 70 S 6 NA St Leonards-on-Sea, England Ohio
## 71 S <NA> NA Liverpool, England / Belfast
## 72 C <NA> NA Los Angeles, CA
## 73 C 4 NA Los Angeles, CA
## 74 S 11 NA <NA>
## 75 S <NA> NA Stoughton, MA
## 76 S <NA> NA Victoria, BC
## 77 C 14 NA Lakewood, NJ
## 78 C <NA> NA Lakewood, NJ
## 79 C 14 NA Lakewood, NJ
## 80 S 2 NA New York, NY
## 81 S <NA> NA Roachdale, IN
## 82 S <NA> 269 Milwaukee, WI
## 83 S 7 NA Milwaukee, WI
## 84 S 7 NA Milwaukee, WI
## 85 C <NA> NA New York, NY
## 86 C 4 NA New York, NY
## 87 S 5 9 NA Lima, Peru
## 88 S 3 NA Philadelphia, PA
## 89 S 8 NA <NA>
## 90 S <NA> NA Montreal, PQ
## 91 S 3 NA Montreal, PQ
## 92 S 3 NA Calgary, AB
## 93 S 3 NA Calgary, AB
## 94 S 13 NA San Francisco, CA
## 95 S 5 NA San Francisco, CA
## 96 S 5 NA San Francisco, CA
## 97 C <NA> 62 Deephaven, MN / Cedar Rapids, IA
## 98 C 6 NA Montreal, PQ
## 99 C 2 NA Deephaven, MN / Cedar Rapids, IA
## 100 C 1 NA London / Paris
## 101 C 1 NA London / Paris
## 102 C <NA> 133 Philadelphia, PA
## 103 C 7 NA Mt Airy, Philadelphia, PA
## 104 C 4 NA New York, NY
## 105 C 4 NA Brookline, MA
## 106 C <NA> NA New York, NY
## 107 S <NA> NA <NA>
## 108 S 7 NA New York, NY
## 109 C 4 NA <NA>
## 110 S 5 NA Brooklyn, NY
## 111 C <NA> NA New York, NY
## 112 S 10 NA Winnipeg, MB
## 113 S 10 NA Winnipeg, MB
## 114 S 10 NA Winnipeg, MB
## 115 S <NA> NA Winnipeg, MB
## 116 S <NA> NA Winnipeg, MB
## 117 S 10 NA Winnipeg, MB
## 118 C 1 NA <NA>
## 119 S <NA> NA Westcliff-on-Sea, Essex
## 120 S 5 NA New York, NY
## 121 C 5 NA New York, NY
## 122 S 5 NA New York, NY
## 123 C 5 NA Zurich, Switzerland
## 124 C 5 NA Zurich, Switzerland
## 125 C 5 NA Zurich, Switzerland
## 126 S <NA> NA <NA>
## 127 S <NA> NA Scituate, MA
## 128 S D NA Scituate, MA
## 129 S <NA> 275 St Anne's-on-Sea, Lancashire
## 130 C 4 NA <NA>
## 131 C 7 NA New York, NY
## 132 C 7 NA New York, NY
## 133 C <NA> NA <NA>
## 134 C 5 NA Paris, France / New York, NY
## 135 C 5 NA Paris, France / New York, NY
## 136 C <NA> NA New York, NY
## 137 C B NA Washington, DC
## 138 S 3 NA Greenwich, CT
## 139 S <NA> 147 Winnipeg, MB
## 140 S 3 NA Greenwich, CT
## 141 C 7 NA New York, NY
## 142 C 7 NA New York, NY
## 143 C <NA> NA New York, NY
## 144 C 5 NA Brooklyn, NY
## 145 C 5 NA Brooklyn, NY
## 146 C 3 NA New York, NY
## 147 C 3 NA New York, NY
## 148 S <NA> NA <NA>
## 149 S <NA> NA New York, NY
## 150 S D NA New York, NY
## 151 S <NA> 110 <NA>
## 152 C 3 NA <NA>
## 153 S 3 NA Kingston, Surrey
## 154 C 7 NA New York, NY
## 155 S <NA> 307 Montreal, PQ
## 156 S 3 NA Montreal, PQ
## 157 S <NA> NA London / Middlesex
## 158 S <NA> NA Brighton, MA
## 159 S <NA> NA London / Birmingham
## 160 C 4 NA Chicago, IL
## 161 C 4 NA Chicago, IL
## 162 S 10 NA Hudson, NY
## 163 S <NA> 38 New York, NY
## 164 S 8 NA New York, NY
## 165 C 15 NA Indianapolis, IN
## 166 S D NA New York, NY / Stamford CT
## 167 C 14 NA New York, NY
## 168 S D NA New York, NY / Stamford CT
## 169 <NA> 6 NA <NA>
## 170 C <NA> NA Paris, France New York, NY
## 171 S C NA Liverpool
## 172 S <NA> 80 Bennington, VT
## 173 S <NA> NA London
## 174 C <NA> 45 <NA>
## 175 C <NA> 258 Buffalo, NY
## 176 S <NA> NA Southington / Noank, CT
## 177 S 8 NA Southington / Noank, CT
## 178 S 5 NA Boston, MA
## 179 S 5 NA Boston, MA
## 180 S <NA> NA Portland, OR
## 181 S 2 NA <NA>
## 182 S 8 NA New York, NY
## 183 C 2 NA <NA>
## 184 C 3 NA <NA>
## 185 C <NA> NA Chicago, IL
## 186 S <NA> NA Stockholm, Sweden
## 187 C 6 NA Stockholm, Sweden
## 188 S 9 NA Paris, France
## 189 S 9 NA Paris, France
## 190 S <NA> 126 Springfield, MA
## 191 S 10 NA Hudson, NY
## 192 S <NA> NA London / New York, NY
## 193 C <NA> NA <NA>
## 194 S 2 NA St Louis, MO
## 195 S <NA> NA Brockton, MA
## 196 S 8 NA <NA>
## 197 C 7 NA Paris, France
## 198 S <NA> NA New York, NY
## 199 S 10 NA New York, NY
## 200 C 6 NA Belgium Montreal, PQ
## 201 C <NA> 292 Vancouver, BC
## 202 S <NA> 175 Dorchester, MA
## 203 S 7 NA Philadelphia, PA
## 204 C <NA> NA New York, NY
## 205 C 6 NA New York, NY
## 206 S <NA> 249 East Bridgewater, MA
## 207 Q <NA> 230 Fond du Lac, WI
## 208 Q 14 NA Green Bay, WI
## 209 Q 14 NA Fond du Lac, WI
## 210 C 11 NA New York, NY
## 211 S <NA> NA Montreal, PQ
## 212 S <NA> NA Washington, DC
## 213 C <NA> NA Brooklyn, NY
## 214 C 6 NA Lexington, MA
## 215 C 6 NA Lexington, MA
## 216 C <NA> 122 Lexington, MA
## 217 S 5 NA New York, NY
## 218 S <NA> 263 Isle of Wight, England
## 219 C 8 NA <NA>
## 220 C 7 NA Paris, France
## 221 C 5 NA Providence, RI
## 222 C <NA> 234 Providence, RI
## 223 C <NA> 189 ?Havana, Cuba
## 224 S <NA> NA Belfast
## 225 S <NA> 166 Surbiton Hill, Surrey
## 226 S <NA> NA Montreal, PQ
## 227 S <NA> NA Isleworth, England
## 228 S 8 NA Isleworth, England
## 229 C <NA> NA Madrid, Spain
## 230 C 8 NA Madrid, Spain
## 231 S 3 NA <NA>
## 232 S 6 NA Toronto, ON
## 233 S <NA> 207 Worcester, MA
## 234 C 7 NA Mt Airy, Philadelphia, PA
## 235 S <NA> NA Rotterdam, Netherlands
## 236 S A NA Paris / New York, NY
## 237 C <NA> 232 <NA>
## 238 C <NA> NA <NA>
## 239 S 2 NA St Louis, MO
## 240 S <NA> NA Trenton, NJ
## 241 S 9 NA New York, NY
## 242 S <NA> NA Seattle, WA
## 243 C 11 NA Paris, France
## 244 C <NA> 16 New York, NY
## 245 C <NA> NA Winnipeg, MB
## 246 S 8 NA London Vancouver, BC
## 247 C <NA> NA New York, NY
## 248 C 6 NA New York, NY
## 249 S <NA> 109 London
## 250 C 4 NA Haverford, PA / Cooperstown, NY
## 251 C 4 NA Haverford, PA / Cooperstown, NY
## 252 C 4 NA Haverford, PA / Cooperstown, NY
## 253 C <NA> NA Haverford, PA / Cooperstown, NY
## 254 C 4 NA Haverford, PA / Cooperstown, NY
## 255 S 3 NA Manchester, England
## 256 C 9 NA <NA>
## 257 S 1 NA New York, NY
## 258 C 11 NA New York, NY
## 259 C 4 NA <NA>
## 260 S 7 NA New York, NY
## 261 S 3 NA New York, NY / Greenwich CT
## 262 S 5 NA St Louis, MO
## 263 S <NA> NA Duluth, MN
## 264 S 11 NA Duluth, MN
## 265 C 3 NA Basel, Switzerland
## 266 S 7 NA New Britain, CT
## 267 S <NA> NA New York, NY
## 268 C <NA> NA St James, Long Island, NY
## 269 S <NA> NA Huntington, WV
## 270 S <NA> NA Streatham, Surrey
## 271 S 6 NA Huntington, WV
## 272 S 7 NA Minneapolis, MN
## 273 S 7 NA Minneapolis, MN
## 274 C 3 NA Tuxedo Park, NY
## 275 C 3 NA Tuxedo Park, NY
## 276 C 3 NA Tuxedo Park, NY
## 277 C <NA> NA Paris, France
## 278 C 6 NA Paris, France
## 279 C 3 NA Basel, Switzerland
## 280 S <NA> NA Wimbledon Park, London / Hayling Island, Hants
## 281 C 1 NA Newark, NJ
## 282 C 5 NA Newark, NJ
## 283 C 4 NA Haverford, PA
## 284 C <NA> NA Gallipolis, Ohio / ? Paris / New York
## 285 <NA> 6 NA Cincinatti, OH
## 286 S <NA> 96 New York, NY
## 287 S <NA> NA New York, NY
## 288 S <NA> 46 Haddenfield, NJ
## 289 S 8 NA Brooklyn, NY
## 290 S 8 NA New York, NY
## 291 S <NA> NA New York, NY
## 292 S 8 NA New York, NY
## 293 S 5 7 NA London / East Orange, NJ
## 294 S 5 7 NA London / East Orange, NJ
## 295 C <NA> NA Haverford, PA
## 296 C B NA Haverford, PA
## 297 C 4 NA Haverford, PA
## 298 C D NA New York, NY
## 299 C 7 NA Albany, NY
## 300 C <NA> NA Mexico City, Mexico
## 301 S <NA> 245 Brooklyn, NY
## 302 S <NA> NA East Orange, NJ
## 303 C 3 NA <NA>
## 304 C <NA> NA Portland, OR
## 305 C 5 NA Portland, OR
## 306 S <NA> NA England Salt Lake City, Utah
## 307 S <NA> NA Brunswick, ME
## 308 S <NA> 169 Brunswick, ME
## 309 C 8 NA New York, NY / Briarcliff Manor NY
## 310 S 8 NA Youngstown, OH
## 311 S <NA> NA Youngstown, OH
## 312 S 8 NA Youngstown, OH
## 313 C <NA> NA Elkins Park, PA
## 314 C <NA> NA Elkins Park, PA
## 315 C 4 NA Elkins Park, PA
## 316 S 8 10 NA Duluth, MN
## 317 C <NA> NA Geneva, Switzerland / Radnor, PA
## 318 C A NA Geneva, Switzerland / Radnor, PA
## 319 S <NA> NA London, England
## 320 C 3 NA <NA>
## 321 S D NA London, England
## 322 S <NA> NA Halifax, NS
## 323 C 8 NA New York, NY / Washington, DC
## 324 C <NA> NA Russia New York, NY
## 325 C 10 NA Russia New York, NY
## 326 S <NA> NA Bryn Mawr, PA, USA
## 327 S <NA> NA Buenos Aires, Argentina / New Jersey, NJ
## 328 S <NA> NA Cornwall, England Houghton, MI
## 329 S <NA> NA Warwick, England
## 330 S 11 NA Warwick, England
## 331 S <NA> NA West Hoboken, NJ
## 332 S <NA> NA Penzance, Cornwall / Akron, OH
## 333 S <NA> NA Guernsey
## 334 S 10 NA Bristol, Avon / Jacksonville, FL
## 335 S <NA> NA Plymouth, Dorset / Houghton, MI
## 336 S <NA> 174 Jacksonville, FL
## 337 S 13 NA Norwich / New York, NY
## 338 S 13 NA Norwich / New York, NY
## 339 S <NA> NA England
## 340 S 11 NA Guntur, India / Benton Harbour, MI
## 341 S 11 NA Guntur, India / Benton Harbour, MI
## 342 S 13 NA Guntur, India / Benton Harbour, MI
## 343 S 11 NA Guntur, India / Benton Harbour, MI
## 344 S 13 NA London
## 345 S 12 NA Rochester, NY
## 346 S <NA> NA St Ives, Cornwall / Calumet, MI
## 347 S <NA> NA Elmira, NY / Orange, NJ
## 348 S <NA> NA London
## 349 S <NA> NA Lake Arthur, Chavez County, NM
## 350 S 11 NA London / Montreal, PQ
## 351 S 14 NA Cape Town, South Africa / Seattle, WA
## 352 S <NA> NA Cape Town, South Africa / Seattle, WA
## 353 S 14 NA Cape Town, South Africa / Seattle, WA
## 354 S 12 NA Skara, Sweden / Rockford, IL
## 355 S <NA> NA Skara, Sweden / Rockford, IL
## 356 S 9 NA Sittingbourne, England / San Diego, CA
## 357 S <NA> 97 Southsea, Hants
## 358 S <NA> NA London
## 359 S <NA> NA New York, NY
## 360 S 13 NA Bangkok, Thailand / Roseville, IL
## 361 S 13 NA Bangkok, Thailand / Roseville, IL
## 362 S 13 NA Bangkok, Thailand / Roseville, IL
## 363 S 14 NA Mamaroneck, NY
## 364 S <NA> NA Belfast
## 365 S <NA> 18 St Ives, Cornwall / Calumet, MI
## 366 S <NA> NA London
## 367 S <NA> NA London
## 368 S <NA> 130 Bronx, NY
## 369 S <NA> 17 Cornwall / Spokane, WA
## 370 S <NA> NA Cornwall / Spokane, WA
## 371 S 12 NA London
## 372 S 12 NA London
## 373 S <NA> NA England / San Francisco, CA
## 374 S 14 NA England / San Francisco, CA
## 375 S <NA> NA Hartford, Huntingdonshire
## 376 S <NA> NA Helsinki, Finland Ashtabula, Ohio
## 377 S 9 NA London / Fort Byron, NY
## 378 S 14 NA Bishopstoke, Hants / Fayette Valley, ID
## 379 S <NA> NA Bishopstoke, Hants / Fayette Valley, ID
## 380 S 14 NA Bishopstoke, Hants / Fayette Valley, ID
## 381 S 14 NA Pennsylvania
## 382 S <NA> NA Provo, UT
## 383 S <NA> NA Upper Burma, India Pittsburgh, PA
## 384 S <NA> NA Penzance, Cornwall / Akron, OH
## 385 S <NA> NA Belfast
## 386 S 14 NA St Ives, Cornwall / Hancock, MI
## 387 S <NA> NA Lyndhurst, England
## 388 S 14 NA St Ives, Cornwall / Hancock, MI
## 389 S 13 NA London / Staten Island, NY
## 390 S <NA> NA Portugal / Sau Paulo, Brazil
## 391 S <NA> NA <NA>
## 392 C <NA> 295 Lucca, Italy / California
## 393 C 12 NA Lucca, Italy / California
## 394 S <NA> NA Guernsey / Elizabeth, NJ
## 395 S <NA> NA New Forest, England
## 396 S <NA> NA Southampton
## 397 S <NA> NA Southampton
## 398 S <NA> NA Holley, NY
## 399 S 10 NA Greenport, NY
## 400 S <NA> NA Greenport, NY
## 401 S 10 NA Greenport, NY
## 402 C 12 NA Barcelona, Spain / Havana, Cuba
## 403 C 12 NA Barcelona, Spain / Havana, Cuba
## 404 S <NA> NA England / Detroit, MI
## 405 S <NA> NA Goteborg, Sweden / Rockford, IL
## 406 S <NA> NA Oslo, Norway Bayonne, NJ
## 407 S <NA> 286 England / Philadelphia, PA
## 408 S 16 NA <NA>
## 409 S <NA> NA Cornwall / Houghton, MI
## 410 S <NA> 236 Rochester, NY
## 411 S <NA> NA Belfast
## 412 S <NA> NA Janjgir, India / Pennsylvania
## 413 S <NA> 322 Liverpool / Montreal, PQ
## 414 S <NA> NA Cornwall / Clear Creek, CO
## 415 S <NA> NA Cornwall / Clear Creek, CO
## 416 S 12 NA Brooklyn, NY
## 417 S <NA> NA Liverpool / Montreal, PQ
## 418 S <NA> NA Guernsey / Elizabeth, NJ
## 419 S <NA> NA Cornwall
## 420 S <NA> NA Cornwall / Camden, NJ
## 421 S <NA> NA Cornwall / Camden, NJ
## 422 S <NA> 297 West Kensington, London
## 423 S <NA> 155 Clevedon, England
## 424 S <NA> NA Vancouver, BC
## 425 S <NA> 305 <NA>
## 426 S <NA> 19 Bronx, NY
## 427 S <NA> 75 Auburn, NY
## 428 S 4 NA Detroit, MI
## 429 S 4 NA Detroit, MI
## 430 S <NA> 35 Seattle, WA / Toledo, OH
## 431 S 11 NA Denmark Hill, Surrey / Chicago
## 432 S <NA> NA Denmark Hill, Surrey / Chicago
## 433 S 15 NA London
## 434 S <NA> NA Walthamstow, England
## 435 S 14 NA Ilford, Essex / Winnipeg, MB
## 436 S <NA> NA Ilford, Essex / Winnipeg, MB
## 437 S 14 NA Ilford, Essex / Winnipeg, MB
## 438 S 9 NA Somerset / Bernardsville, NJ
## 439 S 9 NA Somerset / Bernardsville, NJ
## 440 S <NA> NA Somerset / Bernardsville, NJ
## 441 S 9 NA Somerset / Bernardsville, NJ
## 442 S 13 NA India / Rapid City, SD
## 443 S <NA> NA West Hampstead, London / Neepawa, MB
## 444 S <NA> 256 West Hampstead, London / Neepawa, MB
## 445 S <NA> NA West Hampstead, London / Neepawa, MB
## 446 S <NA> NA Kontiolahti, Finland / Detroit, MI
## 447 S 4 NA Cornwall / Akron, OH
## 448 S <NA> NA Cornwall / Akron, OH
## 449 S <NA> NA Devonport, England
## 450 S 4 NA Cornwall / Akron, OH
## 451 S <NA> 149 Southampton
## 452 S <NA> NA England / Sacramento, CA
## 453 S 10 NA England / Sacramento, CA
## 454 S <NA> NA New Forest, England
## 455 S 10 NA Tokyo, Japan
## 456 S <NA> NA Swindon, England
## 457 S <NA> NA Swindon, England
## 458 S <NA> NA Philadelphia, PA
## 459 S <NA> NA Guernsey
## 460 S <NA> NA London
## 461 S 12 NA London
## 462 S <NA> NA North Evington, England
## 463 S <NA> NA Guernsey / Elizabeth, NJ
## 464 S <NA> NA Guernsey / Elizabeth, NJ
## 465 S <NA> NA St Ives, Cornwall / Houghton, MI
## 466 C 11 NA New York, NY
## 467 S <NA> 283 Moscow / Bronx, NY
## 468 S 12 NA Moscow / Bronx, NY
## 469 S <NA> NA India / Pittsburgh, PA
## 470 Q 10 NA Harrisburg, PA
## 471 Q <NA> NA <NA>
## 472 S 9 NA London / New York, NY
## 473 Q <NA> NA Glasgow / Bangor, ME
## 474 S <NA> NA Belfast
## 475 S <NA> 165 Sweden / Arlington, NJ
## 476 S <NA> NA Minneapolis, MN
## 477 S <NA> NA Minneapolis, MN
## 478 Q <NA> NA <NA>
## 479 C 14 NA Paris / Haiti
## 480 C 14 NA Paris / Haiti
## 481 C <NA> NA Paris / Haiti
## 482 C 14 NA Paris / Haiti
## 483 C 12 NA Berne, Switzerland / Central City, IA
## 484 S 11 NA London / Chicago, IL
## 485 S 14 NA Chicago, IL
## 486 C <NA> NA Montreal, PQ
## 487 S <NA> 108 <NA>
## 488 Q <NA> NA <NA>
## 489 S <NA> 121 Weston-Super-Mare, Somerset
## 490 S <NA> NA Weston-Super-Mare, Somerset
## 491 S <NA> 52 Southampton / New York, NY
## 492 C <NA> NA Paris
## 493 C 10 NA Paris / Montreal, PQ
## 494 C <NA> NA Paris / Montreal, PQ
## 495 C 10 NA Paris / Montreal, PQ
## 496 C <NA> NA New York, NY
## 497 S <NA> NA St Austall, Cornwall
## 498 S <NA> NA Weston-Super-Mare / Moose Jaw, SK
## 499 S <NA> 209 Sydney, Australia
## 500 S <NA> NA Sarnia, ON
## 501 S <NA> NA Rochester, NY
## 502 S 14 NA England / Bennington, VT
## 503 S 14 NA England / Bennington, VT
## 504 S B NA Chelsea, London
## 505 S <NA> NA Harrow-on-the-Hill, Middlesex
## 506 S <NA> 271 Copenhagen, Denmark
## 507 S <NA> NA Guernsey / Montclair, NJ and/or Toledo, Ohio
## 508 S <NA> NA Worcester, MA
## 509 S <NA> NA Frankfort, KY
## 510 S <NA> NA <NA>
## 511 S <NA> NA Halesworth, England
## 512 Q <NA> NA Cambridge, MA
## 513 C <NA> 43 New York, NY
## 514 C <NA> NA New York, NY
## 515 S D NA Nice, France
## 516 S D NA Nice, France
## 517 S <NA> 15 Nice, France
## 518 S <NA> NA Boston, MA
## 519 S <NA> 101 Cornwall / Hancock, MI
## 520 S <NA> 287 Glasgow
## 521 C 7 NA Cologne, Germany
## 522 S 11 NA Folkstone, Kent / New York, NY
## 523 S <NA> NA Middleburg Heights, OH
## 524 S 13 NA Pondersend, England / New Durham, NJ
## 525 C 9 NA Spain / Havana, Cuba
## 526 S <NA> NA Hamilton, ON
## 527 C 9 NA Spain / Havana, Cuba
## 528 S <NA> NA St Andrews, Guernsey
## 529 S <NA> NA Belfast
## 530 S 12 NA Woodford County, KY
## 531 S <NA> NA Gunnislake, England / Butte, MT
## 532 C <NA> NA <NA>
## 533 S <NA> NA <NA>
## 534 S 12 NA Ilfracombe, Devon
## 535 S 11 NA Worcester, England
## 536 S <NA> NA Ilfracombe, Devon
## 537 S 9 NA Russia
## 538 S <NA> NA Denmark / New York, NY
## 539 C 14 NA Milford, NH
## 540 C <NA> NA Paris
## 541 S 11 NA Plymouth, Devon / Detroit, MI
## 542 S 11 NA Plymouth, Devon / Detroit, MI
## 543 S 11 NA Plymouth, Devon / Detroit, MI
## 544 S <NA> NA Brighton, Sussex
## 545 S 12 NA Elizabeth, NJ
## 546 S <NA> NA Elizabeth, NJ
## 547 S 9 NA Spain
## 548 C <NA> NA Paris / Montreal, PQ
## 549 S 4 NA Cornwall / Akron, OH
## 550 S 4 NA Cornwall / Akron, OH
## 551 S 4 NA Cornwall / Akron, OH
## 552 S 13 NA London, England / Marietta, Ohio and Milwaukee, WI
## 553 S <NA> NA <NA>
## 554 S 12 NA Guernsey / Wilmington, DE
## 555 S <NA> NA Newark, NJ
## 556 S <NA> NA Liverpool
## 557 S <NA> NA Hornsey, England
## 558 S 12 NA Deer Lodge, MT
## 559 S 16 NA Finland / Minneapolis, MN
## 560 S 11 NA Cornwall / Hancock, MI
## 561 S 10 NA Finland / Washington, DC
## 562 S <NA> NA Sault St Marie, ON
## 563 Q 13 NA Halifax, NS
## 564 S <NA> NA Cornwall
## 565 S 9 NA <NA>
## 566 S <NA> NA Cornwall / Houghton, MI
## 567 C <NA> NA New York, NY
## 568 S <NA> 81 Catford, Kent / Detroit, MI
## 569 S <NA> 294 <NA>
## 570 S <NA> NA Somerset / Bernardsville, NJ
## 571 S 9 NA Indianapolis, IN
## 572 S <NA> NA <NA>
## 573 S <NA> NA Columbus, OH
## 574 S 16 NA Bath, England / Massachusetts
## 575 S <NA> NA Plymouth, England
## 576 S <NA> NA Plymouth, England
## 577 S <NA> NA Barre, Co Washington, VT
## 578 S 14 NA Mamaroneck, NY
## 579 S <NA> NA Bristol, England / New Britain, CT
## 580 S <NA> NA <NA>
## 581 S 10 NA Bristol, England / New Britain, CT
## 582 S <NA> NA Belfast
## 583 S 9 NA Aberdeen / Portland, OR
## 584 S 9 NA Aberdeen / Portland, OR
## 585 S 12 NA England / Hartford, CT
## 586 S <NA> 293 Bromsgrove, England / Montreal, PQ
## 587 S 10 NA Bromsgrove, England / Montreal, PQ
## 588 S 14 NA Cornwall / Akron, OH
## 589 S 14 NA Cornwall / Akron, OH
## 590 S 14 NA Cornwall / Akron, OH
## 591 S 10 NA Bournmouth, England
## 592 S 10 NA Bournmouth, England
## 593 S <NA> NA Bournmouth, England
## 594 S 10 NA Bournmouth, England
## 595 S <NA> NA Guernsey, England / Edgewood, RI
## 596 S <NA> NA <NA>
## 597 S 9 NA London, England
## 598 S 14 NA Harrow, England
## 599 S 9 NA Yoevil, England / Cottage Grove, OR
## 600 S <NA> NA Paris
## 601 S <NA> NA <NA>
## 602 S <NA> NA East Providence, RI
## 603 S <NA> 190 East Providence, RI
## 604 S A NA East Providence, RI
## 605 S 16 NA Norway Los Angeles, CA
## 606 S A NA Perkins County, SD
## 607 S 15 NA Taalintehdas, Finland Hoboken, NJ
## 608 C C NA Greensburg, PA
## 609 S <NA> 72 Asarum, Sweden Brooklyn, NY
## 610 S <NA> 103 Bournemouth, England
## 611 S <NA> NA Sweden Akeley, MN
## 612 S 11 NA London, England Norfolk, VA
## 613 S 13 NA London, England Norfolk, VA
## 614 C 15 NA Syria Fredericksburg, VA
## 615 S <NA> NA England Albion, NY
## 616 S <NA> NA Salo, Finland Astoria, OR
## 617 S <NA> NA <NA>
## 618 S <NA> 79 Argentina
## 619 S <NA> NA Lower Clapton, Middlesex or Erdington, Birmingham
## 620 S <NA> 259 Windsor, England New York, NY
## 621 S <NA> 260 Bergen, Norway
## 622 S 16 NA <NA>
## 623 S <NA> NA Sweden Winnipeg, MN
## 624 S <NA> NA Sweden Winnipeg, MN
## 625 S <NA> NA Sweden Winnipeg, MN
## 626 S D NA Ruotsinphyhtaa, Finland New York, NY
## 627 S <NA> NA Vadsbro, Sweden Ministee, MI
## 628 S <NA> NA Sweden Winnipeg, MN
## 629 S <NA> NA Sweden Winnipeg, MN
## 630 S <NA> NA Sweden Winnipeg, MN
## 631 S A NA <NA>
## 632 S <NA> NA Hartford, CT
## 633 S <NA> NA Sweden Winnipeg, MN
## 634 S <NA> NA Sweden Chicago, IL
## 635 S <NA> NA Bulgaria Chicago, IL
## 636 S <NA> NA Altdorf, Switzerland
## 637 S <NA> NA Altdorf, Switzerland
## 638 S <NA> NA Sweden Joliet, IL
## 639 S <NA> NA <NA>
## 640 S <NA> NA Sweden Worcester, MA
## 641 S <NA> NA Sweden Worcester, MA
## 642 S 15 NA Sweden Worcester, MA
## 643 S <NA> NA Sweden Worcester, MA
## 644 S 15 NA Sweden Worcester, MA
## 645 S <NA> 142 Sweden Worcester, MA
## 646 S 13 NA Oskarshamn, Sweden Minneapolis, MN
## 647 S 15 NA Sweden Worcester, MA
## 648 C C NA Ottawa, ON
## 649 C <NA> NA Ottawa, ON
## 650 S <NA> NA <NA>
## 651 C <NA> NA <NA>
## 652 C <NA> NA Ottawa, ON
## 653 S <NA> NA Krakoryd, Sweden Bloomington, IL
## 654 C C NA Syria Youngstown, OH
## 655 C <NA> NA <NA>
## 656 S D NA Ruotsinphytaa, Finland New York, NY
## 657 S <NA> NA Ruotsinphytaa, Finland New York, NY
## 658 C C NA Syria New York, NY
## 659 C C NA Syria New York, NY
## 660 C C NA Syria New York, NY
## 661 C C NA Syria New York, NY
## 662 S C NA London Skanteales, NY
## 663 C <NA> NA <NA>
## 664 S <NA> NA <NA>
## 665 C 15 NA <NA>
## 666 C <NA> NA Syria Ottawa, ON
## 667 C <NA> NA Syria Ottawa, ON
## 668 Q <NA> NA New York, NY
## 669 S <NA> NA England New York, NY
## 670 S <NA> NA England
## 671 S <NA> NA Krakudden, Sweden Moune, IL
## 672 S <NA> NA Tranvik, Finland New York
## 673 C <NA> NA <NA>
## 674 C <NA> NA Syria
## 675 S C NA Hong Kong New York, NY
## 676 S <NA> NA Brennes, Norway New York
## 677 S <NA> NA Stockholm, Sweden New York
## 678 S <NA> NA Bulgaria Chicago, IL
## 679 C <NA> NA Syria Kent, ON
## 680 C <NA> NA Syria Kent, ON
## 681 C <NA> NA Syria
## 682 C <NA> NA Syria Kent, ON
## 683 Q <NA> NA Ireland Chicago, IL
## 684 Q <NA> NA Ireland Chicago, IL
## 685 Q <NA> NA Ireland Chicago, IL
## 686 S <NA> NA Treherbert, Cardiff, Wales
## 687 Q 13 NA Kingwilliamstown, Co Cork, Ireland Glens Falls, NY
## 688 S <NA> NA Medeltorp, Sweden Chicago, IL
## 689 S <NA> NA Bridgerule, Devon
## 690 S <NA> NA Bridgerule, Devon
## 691 S <NA> NA Sweden Worcester, MA
## 692 S <NA> NA Broomfield, Chelmsford, England
## 693 Q <NA> 299 Co Cork, Ireland Roxbury, MA
## 694 Q 13 NA Kingwilliamstown, Co Cork, Ireland New York, NY
## 695 Q <NA> NA Co Cork, Ireland Charlestown, MA
## 696 Q <NA> NA Co Sligo, Ireland New York, NY
## 697 S <NA> NA <NA>
## 698 S <NA> NA <NA>
## 699 S <NA> NA <NA>
## 700 S <NA> NA Croatia
## 701 S <NA> NA <NA>
## 702 S <NA> NA <NA>
## 703 Q <NA> NA <NA>
## 704 Q <NA> NA Ireland Philadelphia, PA
## 705 S <NA> NA <NA>
## 706 C <NA> NA Ottawa, ON
## 707 C <NA> NA Ottawa, ON
## 708 S <NA> NA Dagsas, Sweden Fower, MN
## 709 S <NA> NA Goteborg, Sweden Huntley, IL
## 710 Q 16 NA Co Longford, Ireland New York, NY
## 711 Q <NA> NA Co Sligo, Ireland Hartford, CT
## 712 S <NA> NA St Denys, Southampton, Hants
## 713 S <NA> NA London
## 714 Q <NA> NA Ireland New York, NY
## 715 S C NA Hong Kong New York, NY
## 716 S <NA> NA <NA>
## 717 C <NA> NA Greece
## 718 C <NA> NA Greece
## 719 S <NA> NA Portugal
## 720 S 12 NA London Brooklyn, NY
## 721 Q <NA> NA Co Limerick, Ireland Sherbrooke, PQ
## 722 S <NA> NA Bulgaria Chicago, IL
## 723 S <NA> NA <NA>
## 724 Q <NA> NA Philadelphia, PA
## 725 Q <NA> NA Ireland Brooklyn, NY
## 726 Q 13 NA Ireland
## 727 Q <NA> NA Ireland
## 728 Q <NA> 171 <NA>
## 729 S <NA> NA <NA>
## 730 S <NA> NA Austria
## 731 S <NA> NA Austria
## 732 S <NA> NA Austria
## 733 S <NA> NA London
## 734 S 2 NA England Brooklyn, NY
## 735 S 2 NA England Brooklyn, NY
## 736 S 2 NA England Brooklyn, NY
## 737 S <NA> NA Merrill, WI
## 738 S <NA> NA Bristol, England Cleveland, OH
## 739 S 12 NA Bournemouth, England Newark, NJ
## 740 S <NA> NA Bournemouth, England Newark, NJ
## 741 S <NA> NA Austria-Hungary
## 742 C <NA> 9 <NA>
## 743 S 15 NA Australia Fingal, ND
## 744 S <NA> NA Norrlot, Sweden Chicago, IL
## 745 S <NA> NA Austria
## 746 Q 15 NA Co Athlone, Ireland New York, NY
## 747 Q 13 15 B NA Co Athlone, Ireland New York, NY
## 748 S <NA> NA Stanton, IA
## 749 S <NA> 197 Stanton, IA
## 750 S <NA> NA Stanton, IA
## 751 S <NA> NA Bulgaria Chicago, IL
## 752 S <NA> NA Bulgaria Chicago, IL
## 753 S <NA> NA West Bromwich, England Pontiac, MI
## 754 S <NA> NA <NA>
## 755 S <NA> NA West Bromwich, England Pontiac, MI
## 756 S <NA> NA West Bromwich, England Pontiac, MI
## 757 S <NA> NA Liverpool, England Bedford, OH
## 758 S 16 NA Liverpool, England Bedford, OH
## 759 S 15 NA Tampico, MT
## 760 S 13 NA Tampico, MT
## 761 S 11 NA Belgium Detroit, MI
## 762 S <NA> NA <NA>
## 763 S 10 NA Devon, England Wichita, KS
## 764 S 10 NA Devon, England Wichita, KS
## 765 S <NA> NA Devon, England Wichita, KS
## 766 S 10 NA Devon, England Wichita, KS
## 767 S <NA> NA <NA>
## 768 S <NA> NA <NA>
## 769 S <NA> NA Bulgaria Coon Rapids, IA
## 770 S <NA> NA <NA>
## 771 S <NA> NA <NA>
## 772 Q C NA Kilmacowen, Co Sligo, Ireland New York, NY
## 773 S <NA> NA <NA>
## 774 S <NA> NA <NA>
## 775 S <NA> NA <NA>
## 776 C <NA> NA <NA>
## 777 Q <NA> NA Ireland New York, NY
## 778 S B NA England Oglesby, IL
## 779 S 13 NA Union Hill, NJ
## 780 Q <NA> NA Ireland New York, NY
## 781 S <NA> NA London New York, NY
## 782 C <NA> 51 Austria Niagara Falls, NY
## 783 Q <NA> NA <NA>
## 784 S D NA England Albion, NY
## 785 S <NA> NA West Haven, CT
## 786 S 16 NA West Haven, CT
## 787 S <NA> NA Tofta, Sweden Joliet, IL
## 788 S <NA> NA Karberg, Sweden Jerome Junction, AZ
## 789 S <NA> NA Effington Rut, SD
## 790 C <NA> NA <NA>
## 791 C <NA> NA Syria Ottawa, ON
## 792 C <NA> NA <NA>
## 793 C <NA> NA Syria
## 794 S <NA> NA Illinois, USA
## 795 S 13 NA New York, NY
## 796 C <NA> NA <NA>
## 797 S <NA> 187 <NA>
## 798 Q <NA> 68 Aughnacliff, Co Longford, Ireland New York, NY
## 799 S 15 NA Italy Philadelphia, PA
## 800 S <NA> NA <NA>
## 801 Q <NA> NA <NA>
## 802 Q <NA> NA <NA>
## 803 Q <NA> NA <NA>
## 804 Q <NA> NA Ireland Chicago, IL
## 805 Q <NA> NA Ireland
## 806 S 13 NA Hong Kong New York, NY
## 807 S <NA> NA Rotherfield, Sussex, England Essex Co, MA
## 808 S <NA> NA Rotherfield, Sussex, England Essex Co, MA
## 809 S <NA> NA Bridgwater, Somerset, England
## 810 S <NA> NA Rotherfield, Sussex, England Essex Co, MA
## 811 S <NA> NA Rotherfield, Sussex, England Essex Co, MA
## 812 S <NA> NA Rotherfield, Sussex, England Essex Co, MA
## 813 Q <NA> NA Ireland New York, NY
## 814 S <NA> NA <NA>
## 815 Q <NA> NA New York, NY
## 816 S <NA> NA <NA>
## 817 C <NA> NA <NA>
## 818 S <NA> 47 <NA>
## 819 Q 16 NA Co Longford, Ireland New York, NY
## 820 Q 13 NA Co Clare, Ireland Washington, DC
## 821 S C D NA Strood, Kent, England Detroit, MI
## 822 S <NA> NA Strood, Kent, England Detroit, MI
## 823 S <NA> NA Philadelphia, PA
## 824 S C D NA Strood, Kent, England Detroit, MI
## 825 S <NA> NA Portugal
## 826 S <NA> NA Wiltshire, England Niagara Falls, NY
## 827 S <NA> NA Wiltshire, England Niagara Falls, NY
## 828 S <NA> NA Wiltshire, England Niagara Falls, NY
## 829 S <NA> NA Wiltshire, England Niagara Falls, NY
## 830 S <NA> NA Wiltshire, England Niagara Falls, NY
## 831 S <NA> NA Wiltshire, England Niagara Falls, NY
## 832 S <NA> NA Wiltshire, England Niagara Falls, NY
## 833 S <NA> NA Wiltshire, England Niagara Falls, NY
## 834 S <NA> NA Dorking, Surrey, England
## 835 S <NA> NA Foresvik, Norway Portland, ND
## 836 S <NA> NA <NA>
## 837 S <NA> NA Waukegan, Chicago, IL
## 838 S <NA> 98 Ruotsinphytaa, Finland New York, NY
## 839 S <NA> NA Ruotsinphytaa, Finland New York, NY
## 840 S <NA> NA Myren, Sweden New York, NY
## 841 S <NA> NA <NA>
## 842 Q <NA> NA <NA>
## 843 S <NA> NA <NA>
## 844 S <NA> NA <NA>
## 845 S <NA> NA <NA>
## 846 S 15 NA <NA>
## 847 S <NA> NA <NA>
## 848 C <NA> 188 <NA>
## 849 S <NA> NA <NA>
## 850 S <NA> NA <NA>
## 851 S <NA> 69 <NA>
## 852 S 11 NA <NA>
## 853 S <NA> NA <NA>
## 854 S B NA <NA>
## 855 Q <NA> NA <NA>
## 856 C <NA> NA <NA>
## 857 Q 16 NA <NA>
## 858 S 15 NA <NA>
## 859 S C NA <NA>
## 860 Q <NA> NA <NA>
## 861 S <NA> NA <NA>
## 862 S <NA> NA <NA>
## 863 S C NA <NA>
## 864 S <NA> 306 <NA>
## 865 S <NA> NA <NA>
## 866 Q <NA> NA <NA>
## 867 S 15 NA <NA>
## 868 S 15 NA <NA>
## 869 S <NA> NA <NA>
## 870 S <NA> NA <NA>
## 871 S <NA> NA <NA>
## 872 Q <NA> NA <NA>
## 873 S C NA <NA>
## 874 S <NA> 120 <NA>
## 875 S C NA <NA>
## 876 C <NA> NA <NA>
## 877 S <NA> NA <NA>
## 878 S <NA> NA <NA>
## 879 S <NA> NA <NA>
## 880 S <NA> NA <NA>
## 881 C 15 NA <NA>
## 882 S A NA <NA>
## 883 S <NA> NA <NA>
## 884 S <NA> NA <NA>
## 885 S <NA> NA <NA>
## 886 S <NA> NA <NA>
## 887 Q D NA <NA>
## 888 S 13 NA <NA>
## 889 S <NA> 143 <NA>
## 890 S 15 NA <NA>
## 891 S <NA> 156 <NA>
## 892 S <NA> 285 <NA>
## 893 S <NA> NA <NA>
## 894 S <NA> NA <NA>
## 895 S 15 NA <NA>
## 896 S 15 NA <NA>
## 897 S <NA> NA <NA>
## 898 S <NA> 37 <NA>
## 899 S <NA> NA <NA>
## 900 S 15 NA <NA>
## 901 S <NA> NA <NA>
## 902 S <NA> NA <NA>
## 903 S <NA> NA <NA>
## 904 S <NA> NA <NA>
## 905 S <NA> NA <NA>
## 906 S 15 NA <NA>
## 907 S <NA> NA <NA>
## 908 S <NA> NA <NA>
## 909 S <NA> NA <NA>
## 910 S 15 NA <NA>
## 911 S <NA> NA <NA>
## 912 S <NA> NA <NA>
## 913 S <NA> NA <NA>
## 914 S 13 NA <NA>
## 915 S <NA> NA <NA>
## 916 S <NA> NA <NA>
## 917 C 15 NA <NA>
## 918 C 15 NA <NA>
## 919 C <NA> NA <NA>
## 920 C <NA> 58 <NA>
## 921 Q <NA> NA <NA>
## 922 S A NA <NA>
## 923 Q 16 NA <NA>
## 924 Q D NA <NA>
## 925 Q <NA> 70 <NA>
## 926 S <NA> NA <NA>
## 927 Q <NA> NA <NA>
## 928 C <NA> NA <NA>
## 929 C <NA> NA <NA>
## 930 Q <NA> NA <NA>
## 931 Q <NA> NA <NA>
## 932 Q <NA> NA <NA>
## 933 S <NA> NA <NA>
## 934 S <NA> NA <NA>
## 935 S 2 NA <NA>
## 936 S 2 NA <NA>
## 937 S 2 NA <NA>
## 938 S <NA> NA <NA>
## 939 S <NA> NA <NA>
## 940 S <NA> NA <NA>
## 941 C <NA> NA <NA>
## 942 C 10 NA <NA>
## 943 C <NA> NA <NA>
## 944 S <NA> NA <NA>
## 945 S <NA> NA <NA>
## 946 S C NA <NA>
## 947 S <NA> NA <NA>
## 948 S 13 NA <NA>
## 949 Q <NA> NA <NA>
## 950 S 14 NA <NA>
## 951 S <NA> NA <NA>
## 952 S <NA> NA <NA>
## 953 S <NA> NA <NA>
## 954 C 6 NA <NA>
## 955 S <NA> NA <NA>
## 956 S <NA> NA <NA>
## 957 S <NA> NA <NA>
## 958 S <NA> NA <NA>
## 959 S <NA> NA <NA>
## 960 S <NA> NA <NA>
## 961 C <NA> 196 <NA>
## 962 Q <NA> NA <NA>
## 963 Q <NA> NA <NA>
## 964 S <NA> NA <NA>
## 965 S <NA> NA <NA>
## 966 S <NA> NA <NA>
## 967 S <NA> NA <NA>
## 968 S <NA> NA <NA>
## 969 S A NA <NA>
## 970 S A NA <NA>
## 971 S 15 NA <NA>
## 972 Q <NA> NA <NA>
## 973 S <NA> NA <NA>
## 974 S <NA> NA <NA>
## 975 S <NA> NA <NA>
## 976 S <NA> NA <NA>
## 977 S <NA> 153 <NA>
## 978 S <NA> NA <NA>
## 979 S 15 NA <NA>
## 980 S <NA> NA <NA>
## 981 S 10 NA <NA>
## 982 S 15 NA <NA>
## 983 S <NA> NA <NA>
## 984 S <NA> NA <NA>
## 985 Q 15 NA <NA>
## 986 S 13 NA <NA>
## 987 S <NA> NA <NA>
## 988 Q <NA> NA <NA>
## 989 Q <NA> NA <NA>
## 990 S <NA> NA <NA>
## 991 S <NA> NA <NA>
## 992 C 15 NA <NA>
## 993 Q <NA> 61 <NA>
## 994 Q 16 NA <NA>
## 995 C <NA> NA <NA>
## 996 C <NA> NA <NA>
## 997 S <NA> NA <NA>
## 998 C C NA <NA>
## 999 C <NA> NA <NA>
## 1000 Q 15 16 NA <NA>
## 1001 Q <NA> NA <NA>
## 1002 Q 16 NA <NA>
## 1003 Q 16 NA <NA>
## 1004 Q 16 NA <NA>
## 1005 Q 13 NA <NA>
## 1006 Q <NA> NA <NA>
## 1007 Q 13 NA <NA>
## 1008 Q <NA> NA <NA>
## 1009 Q <NA> NA <NA>
## 1010 Q <NA> NA <NA>
## 1011 S <NA> NA <NA>
## 1012 S <NA> 53 <NA>
## 1013 Q <NA> NA <NA>
## 1014 S <NA> NA <NA>
## 1015 S <NA> NA <NA>
## 1016 S <NA> 201 <NA>
## 1017 Q <NA> NA <NA>
## 1018 S 15 NA <NA>
## 1019 S <NA> NA <NA>
## 1020 S <NA> NA <NA>
## 1021 S <NA> NA <NA>
## 1022 S <NA> NA <NA>
## 1023 S <NA> NA <NA>
## 1024 Q 16 NA <NA>
## 1025 S <NA> 309 <NA>
## 1026 S 14 NA <NA>
## 1027 S 14 NA <NA>
## 1028 S <NA> NA <NA>
## 1029 Q 16 NA <NA>
## 1030 Q <NA> NA <NA>
## 1031 Q <NA> NA <NA>
## 1032 S <NA> NA <NA>
## 1033 Q <NA> NA <NA>
## 1034 S B NA <NA>
## 1035 C C NA <NA>
## 1036 C C NA <NA>
## 1037 C C NA <NA>
## 1038 C <NA> NA <NA>
## 1039 S <NA> NA <NA>
## 1040 Q 16 NA <NA>
## 1041 Q 15 NA <NA>
## 1042 S <NA> NA <NA>
## 1043 Q 16 NA <NA>
## 1044 Q 16 NA <NA>
## 1045 Q 16 NA <NA>
## 1046 S <NA> NA <NA>
## 1047 S <NA> NA <NA>
## 1048 C C NA <NA>
## 1049 C C NA <NA>
## 1050 C C NA <NA>
## 1051 C C NA <NA>
## 1052 S <NA> NA <NA>
## 1053 S <NA> NA <NA>
## 1054 C <NA> NA <NA>
## 1055 Q <NA> NA <NA>
## 1056 S <NA> NA <NA>
## 1057 C C NA <NA>
## 1058 C C NA <NA>
## 1059 S <NA> NA <NA>
## 1060 S <NA> NA <NA>
## 1061 S D NA <NA>
## 1062 S 13 NA <NA>
## 1063 S <NA> NA <NA>
## 1064 S <NA> NA Finland Sudbury, ON
## 1065 S 9 NA <NA>
## 1066 S <NA> NA <NA>
## 1067 C <NA> 181 <NA>
## 1068 S 13 NA <NA>
## 1069 S <NA> NA <NA>
## 1070 Q <NA> NA <NA>
## 1071 Q <NA> NA <NA>
## 1072 Q <NA> NA <NA>
## 1073 Q <NA> NA <NA>
## 1074 Q <NA> NA <NA>
## 1075 Q <NA> NA <NA>
## 1076 S <NA> NA <NA>
## 1077 Q <NA> NA <NA>
## 1078 Q D NA <NA>
## 1079 Q <NA> NA <NA>
## 1080 S C NA <NA>
## 1081 Q B NA <NA>
## 1082 Q 13 NA <NA>
## 1083 S 13 NA <NA>
## 1084 S <NA> 173 <NA>
## 1085 S <NA> NA <NA>
## 1086 S <NA> NA <NA>
## 1087 S <NA> NA <NA>
## 1088 S <NA> NA <NA>
## 1089 S A NA <NA>
## 1090 S <NA> 89 Oslo, Norway Cameron, WI
## 1091 S <NA> NA <NA>
## 1092 S <NA> NA <NA>
## 1093 S <NA> NA <NA>
## 1094 S <NA> NA <NA>
## 1095 S <NA> NA <NA>
## 1096 Q <NA> NA <NA>
## 1097 S <NA> 4 <NA>
## 1098 S <NA> NA <NA>
## 1099 S <NA> NA <NA>
## 1100 S <NA> NA <NA>
## 1101 S <NA> 206 <NA>
## 1102 S <NA> NA <NA>
## 1103 S <NA> NA <NA>
## 1104 S <NA> NA <NA>
## 1105 S <NA> NA <NA>
## 1106 S <NA> NA <NA>
## 1107 S <NA> NA <NA>
## 1108 S <NA> NA <NA>
## 1109 S <NA> NA <NA>
## 1110 C <NA> NA <NA>
## 1111 S <NA> NA <NA>
## 1112 S <NA> NA <NA>
## 1113 S <NA> NA <NA>
## 1114 S <NA> NA <NA>
## 1115 S <NA> NA <NA>
## 1116 S <NA> NA <NA>
## 1117 S <NA> NA <NA>
## 1118 S <NA> NA <NA>
## 1119 S <NA> NA <NA>
## 1120 S <NA> NA <NA>
## 1121 S 15 NA <NA>
## 1122 C C NA <NA>
## 1123 C D NA <NA>
## 1124 C D NA <NA>
## 1125 Q <NA> NA <NA>
## 1126 S <NA> NA <NA>
## 1127 S <NA> NA <NA>
## 1128 S <NA> NA <NA>
## 1129 S <NA> NA <NA>
## 1130 S <NA> NA <NA>
## 1131 S <NA> NA <NA>
## 1132 S 9 NA <NA>
## 1133 S <NA> NA <NA>
## 1134 S <NA> NA <NA>
## 1135 S <NA> NA <NA>
## 1136 S <NA> NA <NA>
## 1137 S <NA> NA <NA>
## 1138 C <NA> NA <NA>
## 1139 S <NA> NA <NA>
## 1140 S <NA> NA <NA>
## 1141 S <NA> NA <NA>
## 1142 Q <NA> NA <NA>
## 1143 Q <NA> NA <NA>
## 1144 Q <NA> NA <NA>
## 1145 Q <NA> NA <NA>
## 1146 Q <NA> NA <NA>
## 1147 Q <NA> 327 <NA>
## 1148 S <NA> NA <NA>
## 1149 S <NA> NA <NA>
## 1150 Q 13 NA <NA>
## 1151 S <NA> NA <NA>
## 1152 S <NA> NA <NA>
## 1153 S <NA> 119 <NA>
## 1154 S <NA> 7 <NA>
## 1155 S <NA> NA <NA>
## 1156 S <NA> NA <NA>
## 1157 S <NA> NA <NA>
## 1158 S <NA> NA <NA>
## 1159 S <NA> NA <NA>
## 1160 S C NA <NA>
## 1161 S <NA> NA <NA>
## 1162 S <NA> NA <NA>
## 1163 Q 14 NA <NA>
## 1164 Q <NA> NA <NA>
## 1165 C <NA> NA <NA>
## 1166 C <NA> NA <NA>
## 1167 C <NA> NA <NA>
## 1168 Q <NA> NA <NA>
## 1169 S <NA> NA <NA>
## 1170 S <NA> 32 <NA>
## 1171 S <NA> NA <NA>
## 1172 S <NA> 67 <NA>
## 1173 S <NA> NA <NA>
## 1174 S <NA> NA <NA>
## 1175 S <NA> NA <NA>
## 1176 S <NA> NA <NA>
## 1177 S <NA> NA <NA>
## 1178 S <NA> NA <NA>
## 1179 S <NA> NA <NA>
## 1180 S <NA> NA <NA>
## 1181 S <NA> NA <NA>
## 1182 S <NA> NA <NA>
## 1183 S C NA <NA>
## 1184 S <NA> NA <NA>
## 1185 C <NA> NA <NA>
## 1186 C <NA> NA <NA>
## 1187 C <NA> NA <NA>
## 1188 S 13 NA <NA>
## 1189 S 13 NA <NA>
## 1190 S 13 NA <NA>
## 1191 S 11 NA <NA>
## 1192 S <NA> NA <NA>
## 1193 S <NA> 284 <NA>
## 1194 Q <NA> NA <NA>
## 1195 S <NA> NA <NA>
## 1196 Q <NA> NA <NA>
## 1197 S 11 NA <NA>
## 1198 S <NA> NA <NA>
## 1199 Q <NA> NA <NA>
## 1200 S <NA> NA <NA>
## 1201 S <NA> NA <NA>
## 1202 C <NA> NA <NA>
## 1203 S <NA> NA <NA>
## 1204 S <NA> NA <NA>
## 1205 S <NA> NA <NA>
## 1206 S 16 NA <NA>
## 1207 S <NA> NA <NA>
## 1208 S <NA> NA <NA>
## 1209 S <NA> NA <NA>
## 1210 S <NA> NA <NA>
## 1211 S <NA> NA <NA>
## 1212 S <NA> NA <NA>
## 1213 S <NA> NA <NA>
## 1214 S <NA> NA <NA>
## 1215 S <NA> NA <NA>
## 1216 Q <NA> NA <NA>
## 1217 Q 13 NA <NA>
## 1218 S <NA> NA <NA>
## 1219 S <NA> NA <NA>
## 1220 S <NA> NA <NA>
## 1221 S <NA> NA <NA>
## 1222 S <NA> NA <NA>
## 1223 C <NA> NA <NA>
## 1224 S C NA <NA>
## 1225 S <NA> NA <NA>
## 1226 S <NA> 261 <NA>
## 1227 S <NA> NA <NA>
## 1228 S <NA> NA <NA>
## 1229 S 9 NA <NA>
## 1230 S <NA> NA <NA>
## 1231 S <NA> NA <NA>
## 1232 S <NA> NA <NA>
## 1233 S B NA <NA>
## 1234 S 15 NA <NA>
## 1235 S <NA> NA <NA>
## 1236 S <NA> NA <NA>
## 1237 S 13 NA <NA>
## 1238 S <NA> NA <NA>
## 1239 S 13 15 NA <NA>
## 1240 S <NA> 176 <NA>
## 1241 C 16 NA <NA>
## 1242 C <NA> NA <NA>
## 1243 C <NA> NA <NA>
## 1244 C <NA> NA <NA>
## 1245 C 14 NA <NA>
## 1246 S <NA> NA <NA>
## 1247 S <NA> NA <NA>
## 1248 S 10 NA <NA>
## 1249 S <NA> NA <NA>
## 1250 Q <NA> NA <NA>
## 1251 S <NA> NA <NA>
## 1252 S <NA> 50 <NA>
## 1253 S <NA> NA <NA>
## 1254 C <NA> NA <NA>
## 1255 S 15 NA <NA>
## 1256 C <NA> NA <NA>
## 1257 C C NA <NA>
## 1258 C C NA <NA>
## 1259 C C NA <NA>
## 1260 S <NA> NA <NA>
## 1261 S 15 NA <NA>
## 1262 S 15 NA <NA>
## 1263 S <NA> NA <NA>
## 1264 S <NA> 1 <NA>
## 1265 S <NA> 255 <NA>
## 1266 S <NA> NA <NA>
## 1267 S <NA> NA <NA>
## 1268 S <NA> NA <NA>
## 1269 S <NA> NA <NA>
## 1270 S <NA> NA <NA>
## 1271 S <NA> NA <NA>
## 1272 S <NA> NA <NA>
## 1273 S <NA> NA <NA>
## 1274 S <NA> NA <NA>
## 1275 S <NA> NA <NA>
## 1276 S <NA> NA <NA>
## 1277 S <NA> NA <NA>
## 1278 C 13 15 NA <NA>
## 1279 S <NA> NA <NA>
## 1280 S <NA> NA <NA>
## 1281 S <NA> NA <NA>
## 1282 S <NA> NA Antwerp, Belgium / Stanton, OH
## 1283 S <NA> NA <NA>
## 1284 S <NA> NA <NA>
## 1285 S <NA> NA <NA>
## 1286 S <NA> 298 <NA>
## 1287 C C NA <NA>
## 1288 S <NA> NA <NA>
## 1289 S <NA> 314 <NA>
## 1290 S <NA> NA <NA>
## 1291 S <NA> NA <NA>
## 1292 S <NA> NA <NA>
## 1293 S <NA> NA <NA>
## 1294 S <NA> NA <NA>
## 1295 S <NA> 14 <NA>
## 1296 S <NA> NA <NA>
## 1297 S <NA> 131 <NA>
## 1298 S <NA> NA <NA>
## 1299 S <NA> NA <NA>
## 1300 C C NA <NA>
## 1301 C <NA> NA <NA>
## 1302 C <NA> 312 <NA>
## 1303 C <NA> NA <NA>
## 1304 C <NA> NA <NA>
## 1305 C <NA> 328 <NA>
## 1306 C <NA> NA <NA>
## 1307 C <NA> 304 <NA>
## 1308 C <NA> NA <NA>
## 1309 S <NA> NA <NA>View(T3)
Titanic <- T3[, c("survived", "embarked", "age", "sex", "sibsp", "parch", "fare")]
Titanic## survived embarked age sex sibsp parch fare
## 1 1 S 29.00 female 0 0 211.3375
## 2 1 S 0.92 male 1 2 151.5500
## 3 0 S 2.00 female 1 2 151.5500
## 4 0 S 30.00 male 1 2 151.5500
## 5 0 S 25.00 female 1 2 151.5500
## 6 1 S 48.00 male 0 0 26.5500
## 7 1 S 63.00 female 1 0 77.9583
## 8 0 S 39.00 male 0 0 0.0000
## 9 1 S 53.00 female 2 0 51.4792
## 10 0 C 71.00 male 0 0 49.5042
## 11 0 C 47.00 male 1 0 227.5250
## 12 1 C 18.00 female 1 0 227.5250
## 13 1 C 24.00 female 0 0 69.3000
## 14 1 S 26.00 female 0 0 78.8500
## 15 1 S 80.00 male 0 0 30.0000
## 16 0 S NA male 0 0 25.9250
## 17 0 C 24.00 male 0 1 247.5208
## 18 1 C 50.00 female 0 1 247.5208
## 19 1 C 32.00 female 0 0 76.2917
## 20 0 C 36.00 male 0 0 75.2417
## 21 1 S 37.00 male 1 1 52.5542
## 22 1 S 47.00 female 1 1 52.5542
## 23 1 C 26.00 male 0 0 30.0000
## 24 1 C 42.00 female 0 0 227.5250
## 25 1 S 29.00 female 0 0 221.7792
## 26 0 C 25.00 male 0 0 26.0000
## 27 1 C 25.00 male 1 0 91.0792
## 28 1 C 19.00 female 1 0 91.0792
## 29 1 S 35.00 female 0 0 135.6333
## 30 1 S 28.00 male 0 0 26.5500
## 31 0 S 45.00 male 0 0 35.5000
## 32 1 C 40.00 male 0 0 31.0000
## 33 1 S 30.00 female 0 0 164.8667
## 34 1 S 58.00 female 0 0 26.5500
## 35 0 S 42.00 male 0 0 26.5500
## 36 1 C 45.00 female 0 0 262.3750
## 37 1 S 22.00 female 0 1 55.0000
## 38 1 S NA male 0 0 26.5500
## 39 0 S 41.00 male 0 0 30.5000
## 40 0 C 48.00 male 0 0 50.4958
## 41 0 C NA male 0 0 39.6000
## 42 1 C 44.00 female 0 0 27.7208
## 43 1 S 59.00 female 2 0 51.4792
## 44 1 C 60.00 female 0 0 76.2917
## 45 1 C 41.00 female 0 0 134.5000
## 46 0 S 45.00 male 0 0 26.5500
## 47 0 S NA male 0 0 31.0000
## 48 1 S 42.00 male 0 0 26.2875
## 49 1 C 53.00 female 0 0 27.4458
## 50 1 C 36.00 male 0 1 512.3292
## 51 1 C 58.00 female 0 1 512.3292
## 52 0 S 33.00 male 0 0 5.0000
## 53 0 S 28.00 male 0 0 47.1000
## 54 0 S 17.00 male 0 0 47.1000
## 55 1 S 11.00 male 1 2 120.0000
## 56 1 S 14.00 female 1 2 120.0000
## 57 1 S 36.00 male 1 2 120.0000
## 58 1 S 36.00 female 1 2 120.0000
## 59 0 S 49.00 male 0 0 26.0000
## 60 1 C NA female 0 0 27.7208
## 61 0 S 36.00 male 1 0 78.8500
## 62 1 S 76.00 female 1 0 78.8500
## 63 0 S 46.00 male 1 0 61.1750
## 64 1 S 47.00 female 1 0 61.1750
## 65 1 S 27.00 male 1 0 53.1000
## 66 1 S 33.00 female 1 0 53.1000
## 67 1 C 36.00 female 0 0 262.3750
## 68 1 S 30.00 female 0 0 86.5000
## 69 1 C 45.00 male 0 0 29.7000
## 70 1 S NA female 0 1 55.0000
## 71 0 S NA male 0 0 0.0000
## 72 0 C 27.00 male 1 0 136.7792
## 73 1 C 26.00 female 1 0 136.7792
## 74 1 S 22.00 female 0 0 151.5500
## 75 0 S NA male 0 0 52.0000
## 76 0 S 47.00 male 0 0 25.5875
## 77 1 C 39.00 female 1 1 83.1583
## 78 0 C 37.00 male 1 1 83.1583
## 79 1 C 64.00 female 0 2 83.1583
## 80 1 S 55.00 female 2 0 25.7000
## 81 0 S NA male 0 0 26.5500
## 82 0 S 70.00 male 1 1 71.0000
## 83 1 S 36.00 female 0 2 71.0000
## 84 1 S 64.00 female 1 1 26.5500
## 85 0 C 39.00 male 1 0 71.2833
## 86 1 C 38.00 female 1 0 71.2833
## 87 1 S 51.00 male 0 0 26.5500
## 88 1 S 27.00 male 0 0 30.5000
## 89 1 S 33.00 female 0 0 151.5500
## 90 0 S 31.00 male 1 0 52.0000
## 91 1 S 27.00 female 1 2 52.0000
## 92 1 S 31.00 male 1 0 57.0000
## 93 1 S 17.00 female 1 0 57.0000
## 94 1 S 53.00 male 1 1 81.8583
## 95 1 S 4.00 male 0 2 81.8583
## 96 1 S 54.00 female 1 1 81.8583
## 97 0 C 50.00 male 1 0 106.4250
## 98 1 C 27.00 female 1 1 247.5208
## 99 1 C 48.00 female 1 0 106.4250
## 100 1 C 48.00 female 1 0 39.6000
## 101 1 C 49.00 male 1 0 56.9292
## 102 0 C 39.00 male 0 0 29.7000
## 103 1 C 23.00 female 0 1 83.1583
## 104 1 C 38.00 female 0 0 227.5250
## 105 1 C 54.00 female 1 0 78.2667
## 106 0 C 36.00 female 0 0 31.6792
## 107 0 S NA male 0 0 221.7792
## 108 1 S NA female 0 0 31.6833
## 109 1 C NA female 0 0 110.8833
## 110 1 S 36.00 male 0 0 26.3875
## 111 0 C 30.00 male 0 0 27.7500
## 112 1 S 24.00 female 3 2 263.0000
## 113 1 S 28.00 female 3 2 263.0000
## 114 1 S 23.00 female 3 2 263.0000
## 115 0 S 19.00 male 3 2 263.0000
## 116 0 S 64.00 male 1 4 263.0000
## 117 1 S 60.00 female 1 4 263.0000
## 118 1 C 30.00 female 0 0 56.9292
## 119 0 S NA male 0 0 26.5500
## 120 1 S 50.00 male 2 0 133.6500
## 121 1 C 43.00 male 1 0 27.7208
## 122 1 S NA female 1 0 133.6500
## 123 1 C 22.00 female 0 2 49.5000
## 124 1 C 60.00 male 1 1 79.2000
## 125 1 C 48.00 female 1 1 79.2000
## 126 0 S NA male 0 0 0.0000
## 127 0 S 37.00 male 1 0 53.1000
## 128 1 S 35.00 female 1 0 53.1000
## 129 0 S 47.00 male 0 0 38.5000
## 130 1 C 35.00 female 0 0 211.5000
## 131 1 C 22.00 female 0 1 59.4000
## 132 1 C 45.00 female 0 1 59.4000
## 133 0 C 24.00 male 0 0 79.2000
## 134 1 C 49.00 male 1 0 89.1042
## 135 1 C NA female 1 0 89.1042
## 136 0 C 71.00 male 0 0 34.6542
## 137 1 C 53.00 male 0 0 28.5000
## 138 1 S 19.00 female 0 0 30.0000
## 139 0 S 38.00 male 0 1 153.4625
## 140 1 S 58.00 female 0 1 153.4625
## 141 1 C 23.00 male 0 1 63.3583
## 142 1 C 45.00 female 0 1 63.3583
## 143 0 C 46.00 male 0 0 79.2000
## 144 1 C 25.00 male 1 0 55.4417
## 145 1 C 25.00 female 1 0 55.4417
## 146 1 C 48.00 male 1 0 76.7292
## 147 1 C 49.00 female 1 0 76.7292
## 148 0 S NA male 0 0 42.4000
## 149 0 S 45.00 male 1 0 83.4750
## 150 1 S 35.00 female 1 0 83.4750
## 151 0 S 40.00 male 0 0 0.0000
## 152 1 C 27.00 male 0 0 76.7292
## 153 1 S NA male 0 0 30.0000
## 154 1 C 24.00 female 0 0 83.1583
## 155 0 S 55.00 male 1 1 93.5000
## 156 1 S 52.00 female 1 1 93.5000
## 157 0 S 42.00 male 0 0 42.5000
## 158 0 S NA male 0 0 51.8625
## 159 0 S 55.00 male 0 0 50.0000
## 160 1 C 16.00 female 0 1 57.9792
## 161 1 C 44.00 female 0 1 57.9792
## 162 1 S 51.00 female 1 0 77.9583
## 163 0 S 42.00 male 1 0 52.0000
## 164 1 S 35.00 female 1 0 52.0000
## 165 1 C 35.00 male 0 0 26.5500
## 166 1 S 38.00 male 1 0 90.0000
## 167 0 C NA male 0 0 30.6958
## 168 1 S 35.00 female 1 0 90.0000
## 169 1 <NA> 38.00 female 0 0 80.0000
## 170 0 C 50.00 female 0 0 28.7125
## 171 1 S 49.00 male 0 0 0.0000
## 172 0 S 46.00 male 0 0 26.0000
## 173 0 S 50.00 male 0 0 26.0000
## 174 0 C 32.50 male 0 0 211.5000
## 175 0 C 58.00 male 0 0 29.7000
## 176 0 S 41.00 male 1 0 51.8625
## 177 1 S NA female 1 0 51.8625
## 178 1 S 42.00 male 1 0 52.5542
## 179 1 S 45.00 female 1 0 52.5542
## 180 0 S NA male 0 0 26.5500
## 181 1 S 39.00 female 0 0 211.3375
## 182 1 S 49.00 female 0 0 25.9292
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## 1216 0 Q NA male 0 0 7.7500
## 1217 1 Q NA female 0 0 7.7333
## 1218 0 S 19.00 male 0 0 7.6500
## 1219 0 S 30.00 male 0 0 8.0500
## 1220 0 S NA male 0 0 8.0500
## 1221 0 S 32.00 male 0 0 8.0500
## 1222 0 S NA male 0 0 7.8958
## 1223 0 C 33.00 male 0 0 8.6625
## 1224 1 S 23.00 female 0 0 7.5500
## 1225 0 S 21.00 male 0 0 8.0500
## 1226 0 S 60.50 male 0 0 NA
## 1227 0 S 19.00 male 0 0 7.8958
## 1228 0 S 22.00 female 0 0 9.8375
## 1229 1 S 31.00 male 0 0 7.9250
## 1230 0 S 27.00 male 0 0 8.6625
## 1231 0 S 2.00 female 0 1 10.4625
## 1232 0 S 29.00 female 1 1 10.4625
## 1233 1 S 16.00 male 0 0 8.0500
## 1234 1 S 44.00 male 0 0 7.9250
## 1235 0 S 25.00 male 0 0 7.0500
## 1236 0 S 74.00 male 0 0 7.7750
## 1237 1 S 14.00 male 0 0 9.2250
## 1238 0 S 24.00 male 0 0 7.7958
## 1239 1 S 25.00 male 0 0 7.7958
## 1240 0 S 34.00 male 0 0 8.0500
## 1241 1 C 0.42 male 0 1 8.5167
## 1242 0 C NA male 1 0 6.4375
## 1243 0 C NA male 0 0 6.4375
## 1244 0 C NA male 0 0 7.2250
## 1245 1 C 16.00 female 1 1 8.5167
## 1246 0 S NA male 0 0 8.0500
## 1247 0 S NA male 1 0 16.1000
## 1248 1 S NA female 1 0 16.1000
## 1249 0 S 32.00 male 0 0 7.9250
## 1250 0 Q NA male 0 0 7.7500
## 1251 0 S NA male 0 0 7.8958
## 1252 0 S 30.50 male 0 0 8.0500
## 1253 0 S 44.00 male 0 0 8.0500
## 1254 0 C NA male 0 0 7.2292
## 1255 1 S 25.00 male 0 0 0.0000
## 1256 0 C NA male 0 0 7.2292
## 1257 1 C 7.00 male 1 1 15.2458
## 1258 1 C 9.00 female 1 1 15.2458
## 1259 1 C 29.00 female 0 2 15.2458
## 1260 0 S 36.00 male 0 0 7.8958
## 1261 1 S 18.00 female 0 0 9.8417
## 1262 1 S 63.00 female 0 0 9.5875
## 1263 0 S NA male 1 1 14.5000
## 1264 0 S 11.50 male 1 1 14.5000
## 1265 0 S 40.50 male 0 2 14.5000
## 1266 0 S 10.00 female 0 2 24.1500
## 1267 0 S 36.00 male 1 1 24.1500
## 1268 0 S 30.00 female 1 1 24.1500
## 1269 0 S NA male 0 0 9.5000
## 1270 0 S 33.00 male 0 0 9.5000
## 1271 0 S 28.00 male 0 0 9.5000
## 1272 0 S 28.00 male 0 0 9.5000
## 1273 0 S 47.00 male 0 0 9.0000
## 1274 0 S 18.00 female 2 0 18.0000
## 1275 0 S 31.00 male 3 0 18.0000
## 1276 0 S 16.00 male 2 0 18.0000
## 1277 0 S 31.00 female 1 0 18.0000
## 1278 1 C 22.00 male 0 0 7.2250
## 1279 0 S 20.00 male 0 0 7.8542
## 1280 0 S 14.00 female 0 0 7.8542
## 1281 0 S 22.00 male 0 0 7.8958
## 1282 0 S 22.00 male 0 0 9.0000
## 1283 0 S NA male 0 0 8.0500
## 1284 0 S NA male 0 0 7.5500
## 1285 0 S NA male 0 0 8.0500
## 1286 0 S 32.50 male 0 0 9.5000
## 1287 1 C 38.00 female 0 0 7.2292
## 1288 0 S 51.00 male 0 0 7.7500
## 1289 0 S 18.00 male 1 0 6.4958
## 1290 0 S 21.00 male 1 0 6.4958
## 1291 1 S 47.00 female 1 0 7.0000
## 1292 0 S NA male 0 0 8.7125
## 1293 0 S NA male 0 0 7.5500
## 1294 0 S NA male 0 0 8.0500
## 1295 0 S 28.50 male 0 0 16.1000
## 1296 0 S 21.00 male 0 0 7.2500
## 1297 0 S 27.00 male 0 0 8.6625
## 1298 0 S NA male 0 0 7.2500
## 1299 0 S 36.00 male 0 0 9.5000
## 1300 0 C 27.00 male 1 0 14.4542
## 1301 1 C 15.00 female 1 0 14.4542
## 1302 0 C 45.50 male 0 0 7.2250
## 1303 0 C NA male 0 0 7.2250
## 1304 0 C NA male 0 0 14.4583
## 1305 0 C 14.50 female 1 0 14.4542
## 1306 0 C NA female 1 0 14.4542
## 1307 0 C 26.50 male 0 0 7.2250
## 1308 0 C 27.00 male 0 0 7.2250
## 1309 0 S 29.00 male 0 0 7.8750View(Titanic)
str(Titanic)## 'data.frame': 1309 obs. of 7 variables:
## $ survived: int 1 1 0 0 0 1 1 0 1 0 ...
## $ embarked: chr "S" "S" "S" "S" ...
## $ age : num 29 0.92 2 30 25 48 63 39 53 71 ...
## $ sex : chr "female" "male" "female" "male" ...
## $ sibsp : int 0 1 1 1 1 0 1 0 2 0 ...
## $ parch : int 0 2 2 2 2 0 0 0 0 0 ...
## $ fare : num 211 152 152 152 152 ...head(Titanic)## survived embarked age sex sibsp parch fare
## 1 1 S 29.00 female 0 0 211.3375
## 2 1 S 0.92 male 1 2 151.5500
## 3 0 S 2.00 female 1 2 151.5500
## 4 0 S 30.00 male 1 2 151.5500
## 5 0 S 25.00 female 1 2 151.5500
## 6 1 S 48.00 male 0 0 26.5500summary(Titanic)## survived embarked age sex
## Min. :0.000 Length:1309 Min. : 0.17 Length:1309
## 1st Qu.:0.000 Class :character 1st Qu.:21.00 Class :character
## Median :0.000 Mode :character Median :28.00 Mode :character
## Mean :0.382 Mean :29.88
## 3rd Qu.:1.000 3rd Qu.:39.00
## Max. :1.000 Max. :80.00
## NA's :263
## sibsp parch fare
## Min. :0.0000 Min. :0.000 Min. : 0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.: 7.896
## Median :0.0000 Median :0.000 Median : 14.454
## Mean :0.4989 Mean :0.385 Mean : 33.295
## 3rd Qu.:1.0000 3rd Qu.:0.000 3rd Qu.: 31.275
## Max. :8.0000 Max. :9.000 Max. :512.329
## NA's :1sd(Titanic$survived)## [1] 0.4860552sd(Titanic$age)## [1] NAsd(Titanic$embarked)## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm =
## na.rm): NAs introduced by coercion## [1] NAsd(Titanic$sex)## Warning in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm =
## na.rm): NAs introduced by coercion## [1] NAsd(Titanic$sibsp)## [1] 1.041658sd(Titanic$parch)## [1] 0.8655603sd(Titanic$fare)## [1] NAlibrary(ggplot2)
library(reshape2)
data_melted <- melt(Titanic, id.vars = NULL)
ggplot(data_melted, aes(x = variable, y = value, fill = variable)) + geom_boxplot() + theme_minimal() + labs(title = "The Titanic", x = "survived", y = "fare")
ggplot(data_melted, aes(x = variable, y = value, fill = variable)) + geom_boxplot() + theme_minimal() + labs(title = "The Titanic", x = "survived", y = "age")
# Histogram for age
ggplot(Titanic, aes(x = age)) +
geom_histogram(binwidth = 5, fill = "skyblue", color = "black") +
labs(title = "Histogram of Age", x = "Age", y = "Frequency")## Warning: Removed 263 rows containing non-finite values (`stat_bin()`).
# Histogram for fare
ggplot(Titanic, aes(x = fare)) +
geom_histogram(binwidth = 20, fill = "salmon", color = "black") +
labs(title = "Histogram of Fare", x = "Fare", y = "Frequency")## Warning: Removed 1 rows containing non-finite values (`stat_bin()`).
ggplot(Titanic, aes(x = age, y = fare)) +
geom_point(color = "darkgreen") +
labs(title = "Scatter Plot of Age vs. Fare", x = "Age", y = "Fare")## Warning: Removed 264 rows containing missing values (`geom_point()`).
ggplot(Titanic, aes(x = survived, y = fare)) +
geom_point(color = "darkgreen") +
labs(title = "Scatter Plot of Survived vs. Fare", x = "Survived", y = "Fare")## Warning: Removed 1 rows containing missing values (`geom_point()`).
# Boxplot for age
ggplot(Titanic, aes(y = age)) +
geom_boxplot(fill = "lightblue", color = "black") +
labs(title = "Boxplot of Age", y = "Age")## Warning: Removed 263 rows containing non-finite values (`stat_boxplot()`).
variable_colors <- c("red", "blue", "green", "orange", "purple")
pairs(Titanic[, c("survived", "age", "sibsp", "parch", "fare")], col = variable_colors, main = "Scatter Plot Matrix")
quantile(Titanic$survived)## 0% 25% 50% 75% 100%
## 0 0 0 1 1quantile(Titanic$survived, seq(from=0, to=1, by=0.2))## 0% 20% 40% 60% 80% 100%
## 0 0 0 0 1 1prop.table(table(Titanic$survived))##
## 0 1
## 0.618029 0.381971proportion_survived <- mean(Titanic$survived == 1)
proportion_survived## [1] 0.381971Titanic <- na.omit(Titanic)
str(Titanic)## 'data.frame': 1043 obs. of 7 variables:
## $ survived: int 1 1 0 0 0 1 1 0 1 0 ...
## $ embarked: chr "S" "S" "S" "S" ...
## $ age : num 29 0.92 2 30 25 48 63 39 53 71 ...
## $ sex : chr "female" "male" "female" "male" ...
## $ sibsp : int 0 1 1 1 1 0 1 0 2 0 ...
## $ parch : int 0 2 2 2 2 0 0 0 0 0 ...
## $ fare : num 211 152 152 152 152 ...
## - attr(*, "na.action")= 'omit' Named int [1:266] 16 38 41 47 60 70 71 75 81 107 ...
## ..- attr(*, "names")= chr [1:266] "16" "38" "41" "47" ...# Convert variables to factors
Titanic$survived<-factor(Titanic$survived)
Titanic$embarked<-factor(Titanic$embarked)
Titanic$sex<-factor(Titanic$sex)
Titanic <- as.data.frame(lapply(Titanic[, c("survived", "embarked", "age", "sex", "sibsp", "parch", "fare")], as.numeric))
# Check the structure of the dataset after conversion
str(Titanic)## 'data.frame': 1043 obs. of 7 variables:
## $ survived: num 2 2 1 1 1 2 2 1 2 1 ...
## $ embarked: num 3 3 3 3 3 3 3 3 3 1 ...
## $ age : num 29 0.92 2 30 25 48 63 39 53 71 ...
## $ sex : num 1 2 1 2 1 2 1 2 1 2 ...
## $ sibsp : num 0 1 1 1 1 0 1 0 2 0 ...
## $ parch : num 0 2 2 2 2 0 0 0 0 0 ...
## $ fare : num 211 152 152 152 152 ...# Calculate correlation
correlation_matrix <- cor(Titanic[, c("survived", "embarked", "age", "sex", "sibsp", "parch", "fare")])
correlation_matrix## survived embarked age sex sibsp parch
## survived 1.00000000 -0.20225751 -0.05741486 -0.5363321 -0.01140343 0.11543601
## embarked -0.20225751 1.00000000 -0.08326914 0.1094254 0.04550984 0.01122982
## age -0.05741486 -0.08326914 1.00000000 0.0660063 -0.24234489 -0.14931063
## sex -0.53633212 0.10942541 0.06600630 1.0000000 -0.09646420 -0.22253083
## sibsp -0.01140343 0.04550984 -0.24234489 -0.0964642 1.00000000 0.37395967
## parch 0.11543601 0.01122982 -0.14931063 -0.2225308 0.37395967 1.00000000
## fare 0.24785762 -0.30145454 0.17720569 -0.1864003 0.14213054 0.21764954
## fare
## survived 0.2478576
## embarked -0.3014545
## age 0.1772057
## sex -0.1864003
## sibsp 0.1421305
## parch 0.2176495
## fare 1.0000000library(corrplot)## corrplot 0.92 loadedcorrplot(correlation_matrix, method="circle")
correlation_matrix <- cor(as.numeric(Titanic$survived), Titanic[, -which(names(Titanic) == "survived")])
correlation_matrix## embarked age sex sibsp parch fare
## [1,] -0.2022575 -0.05741486 -0.5363321 -0.01140343 0.115436 0.2478576corrplot(correlation_matrix, method="circle")
############
set.seed(1000)
# Split the dataset into 80% training and 20% testing
#train_set(till 834) and test_set(till 1043)
train_set <- Titanic[1:834, ]
test_set <- Titanic[835:1043, ]
# Install and load rpart package
library(rpart)## Warning: package 'rpart' was built under R version 4.3.3library(rattle)## Warning: package 'rattle' was built under R version 4.3.3## Loading required package: tibble## Loading required package: bitops## Rattle: A free graphical interface for data science with R.
## Version 5.5.1 Copyright (c) 2006-2021 Togaware Pty Ltd.
## Type 'rattle()' to shake, rattle, and roll your data.library(rpart.plot)## Warning: package 'rpart.plot' was built under R version 4.3.3library(RColorBrewer)
library(rpart)
fit <- rpart(survived ~ sex + age + sibsp + parch + fare + embarked, data=Titanic, method="class")
plot(fit)
library(rattle)
library(rpart.plot)
library(RColorBrewer)
str(Titanic)## 'data.frame': 1043 obs. of 7 variables:
## $ survived: num 2 2 1 1 1 2 2 1 2 1 ...
## $ embarked: num 3 3 3 3 3 3 3 3 3 1 ...
## $ age : num 29 0.92 2 30 25 48 63 39 53 71 ...
## $ sex : num 1 2 1 2 1 2 1 2 1 2 ...
## $ sibsp : num 0 1 1 1 1 0 1 0 2 0 ...
## $ parch : num 0 2 2 2 2 0 0 0 0 0 ...
## $ fare : num 211 152 152 152 152 ...fancyRpartPlot(fit)
png("C:/Users/alviy/OneDrive/Documents/decision_tree.png", width = 800, height = 600, res = 120)
#What is the most “important” feature over which the tree first split? Do you agree with the Titanic slogan “ Women and children first!”
##The most important feature here which is the parent node is sex and then it splits first to age, so hence this gives a conclusion that I agree with the Titanic slogan "Women and children first!"
# Use the predict function to make predictions on the test dataset
Prediction <- predict(fit, test_set, type = "class")
Prediction## 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850
## 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1
## 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866
## 1 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1
## 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882
## 1 1 1 2 2 1 1 1 1 2 2 1 2 1 1 2
## 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898
## 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1
## 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930
## 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1
## 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946
## 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1
## 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962
## 1 2 2 1 2 1 1 1 1 1 1 2 1 2 2 2
## 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978
## 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1
## 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994
## 1 1 2 1 1 1 1 1 2 1 1 1 1 1 1 1
## 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010
## 1 1 2 2 1 1 1 1 2 2 2 1 2 1 1 1
## 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026
## 2 1 2 1 1 1 1 2 1 1 2 1 1 2 1 1
## 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042
## 1 2 1 1 1 2 1 1 1 1 1 2 1 2 1 1
## 1043
## 1
## Levels: 1 2Results <- data.frame(PassengerSex = test_set$sex, Survived = Prediction)
Results## PassengerSex Survived
## 835 2 1
## 836 2 1
## 837 2 1
## 838 2 1
## 839 2 1
## 840 2 1
## 841 1 1
## 842 1 1
## 843 2 1
## 844 1 2
## 845 2 1
## 846 2 1
## 847 2 1
## 848 1 2
## 849 2 1
## 850 2 1
## 851 2 1
## 852 1 1
## 853 2 1
## 854 2 1
## 855 2 1
## 856 2 1
## 857 1 1
## 858 2 1
## 859 2 1
## 860 1 2
## 861 1 1
## 862 2 1
## 863 1 2
## 864 2 1
## 865 2 1
## 866 2 1
## 867 2 1
## 868 2 1
## 869 2 1
## 870 2 2
## 871 1 2
## 872 2 1
## 873 1 1
## 874 2 1
## 875 2 1
## 876 1 2
## 877 1 2
## 878 2 1
## 879 1 2
## 880 2 1
## 881 2 1
## 882 1 2
## 883 1 1
## 884 2 1
## 885 1 2
## 886 1 1
## 887 2 1
## 888 2 1
## 889 2 1
## 890 2 1
## 891 2 1
## 892 1 1
## 893 2 1
## 894 2 1
## 895 1 1
## 896 2 2
## 897 2 1
## 898 2 1
## 899 1 1
## 900 2 1
## 901 2 1
## 902 2 1
## 903 1 1
## 904 1 1
## 905 2 1
## 906 2 1
## 907 1 1
## 908 2 1
## 909 2 1
## 910 1 1
## 911 1 1
## 912 1 1
## 913 2 1
## 914 2 1
## 915 2 1
## 916 2 1
## 917 2 1
## 918 1 1
## 919 2 1
## 920 2 1
## 921 2 1
## 922 2 2
## 923 1 2
## 924 1 2
## 925 2 1
## 926 2 1
## 927 2 1
## 928 2 1
## 929 2 1
## 930 1 1
## 931 2 1
## 932 2 1
## 933 1 2
## 934 2 1
## 935 2 1
## 936 2 1
## 937 2 1
## 938 2 1
## 939 2 1
## 940 2 1
## 941 2 1
## 942 2 1
## 943 2 1
## 944 1 1
## 945 1 2
## 946 2 1
## 947 2 1
## 948 1 2
## 949 1 2
## 950 2 1
## 951 1 2
## 952 2 1
## 953 2 1
## 954 2 1
## 955 2 1
## 956 2 1
## 957 2 1
## 958 1 2
## 959 2 1
## 960 1 2
## 961 1 2
## 962 1 2
## 963 2 1
## 964 2 1
## 965 2 1
## 966 2 1
## 967 2 1
## 968 2 1
## 969 2 1
## 970 1 2
## 971 2 1
## 972 2 1
## 973 1 1
## 974 1 1
## 975 2 1
## 976 1 1
## 977 2 1
## 978 2 1
## 979 2 1
## 980 2 1
## 981 1 2
## 982 2 1
## 983 2 1
## 984 1 1
## 985 2 1
## 986 2 1
## 987 1 2
## 988 1 1
## 989 2 1
## 990 2 1
## 991 2 1
## 992 2 1
## 993 2 1
## 994 2 1
## 995 2 1
## 996 2 1
## 997 2 2
## 998 1 2
## 999 2 1
## 1000 2 1
## 1001 2 1
## 1002 2 1
## 1003 2 2
## 1004 1 2
## 1005 1 2
## 1006 2 1
## 1007 1 2
## 1008 1 1
## 1009 2 1
## 1010 2 1
## 1011 1 2
## 1012 2 1
## 1013 1 2
## 1014 2 1
## 1015 2 1
## 1016 2 1
## 1017 2 1
## 1018 1 2
## 1019 2 1
## 1020 2 1
## 1021 1 2
## 1022 2 1
## 1023 2 1
## 1024 1 2
## 1025 2 1
## 1026 2 1
## 1027 2 1
## 1028 1 2
## 1029 2 1
## 1030 2 1
## 1031 2 1
## 1032 1 2
## 1033 2 1
## 1034 2 1
## 1035 2 1
## 1036 2 1
## 1037 2 1
## 1038 1 2
## 1039 2 1
## 1040 1 2
## 1041 2 1
## 1042 2 1
## 1043 2 1head(Results)## PassengerSex Survived
## 835 2 1
## 836 2 1
## 837 2 1
## 838 2 1
## 839 2 1
## 840 2 1# Save the dataframe as a CSV file
write.csv(Results, file = "Titanicdtree.csv", row.names = FALSE)