#Reading a CSV file
df <- read.csv("titanic.csv")
titanic <- na.omit(df)
print(titanic)
## pclass survived sex age sibsp parch ticket fare
## 4 1 0 male 30.0 1 2 113781 151.5500
## 10 1 0 male 71.0 0 0 PC 17609 49.5042
## 11 1 0 male 47.0 1 0 PC 17757 227.5250
## 26 1 0 male 25.0 0 0 13905 26.0000
## 40 1 0 male 48.0 0 0 PC 17591 50.4958
## 61 1 0 male 36.0 1 0 19877 78.8500
## 82 1 0 male 70.0 1 1 WE/P 5735 71.0000
## 97 1 0 male 50.0 1 0 PC 17761 106.4250
## 102 1 0 male 39.0 0 0 PC 17580 29.7000
## 129 1 0 male 47.0 0 0 111320 38.5000
## 139 1 0 male 38.0 0 1 PC 17582 153.4625
## 151 1 0 male 40.0 0 0 112059 0.0000
## 155 1 0 male 55.0 1 1 12749 93.5000
## 163 1 0 male 42.0 1 0 113789 52.0000
## 172 1 0 male 46.0 0 0 694 26.0000
## 174 1 0 male 32.5 0 0 113503 211.5000
## 175 1 0 male 58.0 0 0 11771 29.7000
## 190 1 0 male 29.0 0 0 113501 30.0000
## 201 1 0 male 46.0 0 0 13050 75.2417
## 202 1 0 male 54.0 0 0 17463 51.8625
## 206 1 0 male 65.0 0 0 13509 26.5500
## 207 1 0 male 44.0 2 0 19928 90.0000
## 216 1 0 male 58.0 0 2 35273 113.2750
## 218 1 0 male 64.0 0 0 693 26.0000
## 222 1 0 male 65.0 0 1 113509 61.9792
## 223 1 0 male 28.5 0 0 PC 17562 27.7208
## 225 1 0 male 45.5 0 0 113043 28.5000
## 233 1 0 male 47.0 0 0 110465 52.0000
## 237 1 0 male 22.0 0 0 PC 17760 135.6333
## 244 1 0 male 46.0 0 0 PC 17585 79.2000
## 249 1 0 male 33.0 0 0 113790 26.5500
## 286 1 0 male 67.0 1 0 PC 17483 221.7792
## 288 1 0 male 61.0 0 0 36963 32.3208
## 301 1 0 male 61.0 0 0 111240 33.5000
## 308 1 0 male 21.0 0 1 35281 77.2875
## 336 2 0 male 51.0 0 0 S.O.P. 1166 12.5250
## 357 2 0 male 25.0 0 0 234686 13.0000
## 365 2 0 male 19.0 0 0 28424 13.0000
## 368 2 0 male 52.0 0 0 248731 13.5000
## 369 2 0 male 37.0 1 0 SC/AH 29037 26.0000
## 392 2 0 male 29.0 1 0 SC/PARIS 2167 27.7208
## 407 2 0 male 40.0 1 0 2926 26.0000
## 410 2 0 male 36.0 0 0 229236 13.0000
## 413 2 0 male 35.0 0 0 239865 26.0000
## 422 2 0 male 24.0 0 0 248726 13.5000
## 423 2 0 male 24.0 0 0 233866 13.0000
## 425 2 0 male 30.0 0 0 250646 13.0000
## 426 2 0 male 52.0 0 0 250647 13.0000
## 427 2 0 male 30.0 0 0 250653 13.0000
## 430 2 0 male 44.0 0 0 248746 13.0000
## 444 2 0 male 32.0 2 0 S.O.C. 14879 73.5000
## 451 2 0 male 50.0 0 0 250643 13.0000
## 467 2 0 male 34.0 1 0 244367 26.0000
## 475 2 0 male 31.0 0 0 C.A. 18723 10.5000
## 487 2 0 male 24.0 0 0 C.A. 29566 10.5000
## 489 2 0 male 50.0 1 0 SC/AH 3085 26.0000
## 491 2 0 female 57.0 0 0 S.O./P.P. 3 10.5000
## 499 2 0 male 32.0 0 0 237216 13.5000
## 506 2 0 male 48.0 0 0 234360 13.0000
## 513 2 0 male 32.5 1 0 237736 30.0708
## 517 2 0 male 36.5 0 2 230080 26.0000
## 519 2 0 male 19.0 1 1 C.A. 33112 36.7500
## 520 2 0 male 28.0 0 0 218629 13.5000
## 568 2 0 male 25.0 0 0 F.C.C. 13540 10.5000
## 569 2 0 male 18.5 0 0 248734 13.0000
## 586 2 0 male 27.0 1 0 228414 26.0000
## 603 3 0 male 16.0 1 1 C.A. 2673 20.2500
## 609 3 0 male 30.0 0 0 C 7076 7.2500
## 610 3 0 male 26.0 0 0 341826 8.0500
## 618 3 0 male 25.0 0 0 SOTON/O.Q. 3101312 7.0500
## 620 3 0 male 18.0 0 0 2223 8.3000
## 621 3 0 male 32.0 0 0 C 4001 22.5250
## 645 3 0 male 40.0 1 5 347077 31.3875
## 693 3 0 female 18.5 0 0 329944 7.2833
## 728 3 0 male 70.5 0 0 370369 7.7500
## 742 3 0 male 22.5 0 0 2698 7.2250
## 749 3 0 male 34.0 1 1 347080 14.4000
## 782 3 0 male 33.0 0 0 349241 7.8958
## 797 3 0 male 40.5 0 0 C.A. 6212 15.1000
## 798 3 0 male 40.5 0 0 367232 7.7500
## 818 3 0 male 22.0 0 0 14973 8.0500
## 838 3 0 male 37.0 2 0 3101276 7.9250
## 848 3 0 male 23.5 0 0 2693 7.2292
## 851 3 0 male 21.0 0 0 350029 7.8542
## 864 3 0 male 28.0 0 0 349243 7.8958
## 874 3 0 male 42.0 0 0 348121 7.6500
## 889 3 0 male 34.0 0 0 3101264 6.4958
## 891 3 0 male 22.0 0 0 350052 7.7958
## 892 3 0 male 33.0 0 0 7540 8.6542
## 898 3 0 male 33.0 0 0 347062 7.7750
## 920 3 0 male 18.5 0 0 2682 7.2292
## 925 3 0 male 34.5 0 0 330911 7.8292
## 961 3 0 male 34.5 0 0 2683 6.4375
## 993 3 0 female 30.5 0 0 364850 7.7500
## 1012 3 0 female 19.0 1 0 376566 16.1000
## 1016 3 0 male 55.5 0 0 A.5. 11206 8.0500
## 1025 3 0 male 25.0 0 0 348123 7.6500
## 1067 3 0 male 28.5 0 0 2697 7.2292
## 1084 3 0 male 28.0 0 0 C 4001 22.5250
## 1090 3 0 male 20.0 0 0 6563 9.2250
## 1097 3 0 male 2.0 3 1 349909 21.0750
## 1101 3 0 female 29.0 0 4 349909 21.0750
## 1147 3 0 female 39.0 0 5 382652 29.1250
## 1153 3 0 male 50.0 1 0 A/5. 3337 14.5000
## 1154 3 0 female 47.0 1 0 A/5. 3337 14.5000
## 1170 3 0 male 38.5 0 0 SOTON/O.Q. 3101262 7.2500
## 1172 3 0 male 14.5 8 2 CA. 2343 69.5500
## 1193 3 0 male 24.5 0 0 342826 8.0500
## 1240 3 0 male 34.0 0 0 363294 8.0500
## 1252 3 0 male 30.5 0 0 364499 8.0500
## 1264 3 0 male 11.5 1 1 A/5. 851 14.5000
## 1265 3 0 male 40.5 0 2 A/5. 851 14.5000
## 1286 3 0 male 32.5 0 0 345775 9.5000
## 1289 3 0 male 18.0 1 0 3101267 6.4958
## 1295 3 0 male 28.5 0 0 54636 16.1000
## 1297 3 0 male 27.0 0 0 315154 8.6625
## 1302 3 0 male 45.5 0 0 2628 7.2250
## 1305 3 0 female 14.5 1 0 2665 14.4542
## 1307 3 0 male 26.5 0 0 2656 7.2250
## cabin embarked boat body
## 4 C22 C26 S 135
## 10 C 22
## 11 C62 C64 C 124
## 26 C 148
## 40 B10 C 208
## 61 C46 S 172
## 82 B22 S 269
## 97 C86 C 62
## 102 A18 C 133
## 129 E63 S 275
## 139 C91 S 147
## 151 B94 S 110
## 155 B69 S 307
## 163 S 38
## 172 S 80
## 174 C132 C 45
## 175 B37 C 258
## 190 D6 S 126
## 201 C6 C 292
## 202 E46 S 175
## 206 E38 S 249
## 207 C78 Q 230
## 216 D48 C 122
## 218 S 263
## 222 B30 C 234
## 223 D43 C 189
## 225 C124 S 166
## 233 C110 S 207
## 237 C 232
## 244 C 16
## 249 S 109
## 286 C55 C57 S 96
## 288 D50 S 46
## 301 B19 S 245
## 308 D26 S 169
## 336 S 174
## 357 S 97
## 365 S 18
## 368 S 130
## 369 S 17
## 392 C 295
## 407 S 286
## 410 S 236
## 413 S 322
## 422 S 297
## 423 S 155
## 425 S 305
## 426 S 19
## 427 S 75
## 430 S 35
## 444 S 256
## 451 S 149
## 467 S 283
## 475 S 165
## 487 S 108
## 489 S 121
## 491 E77 S 52
## 499 S 209
## 506 S 271
## 513 C 43
## 517 F2 S 15
## 519 S 101
## 520 S 287
## 568 S 81
## 569 F S 294
## 586 S 293
## 603 S 190
## 609 S 72
## 610 S 103
## 618 S 79
## 620 S 259
## 621 S 260
## 645 S 142
## 693 Q 299
## 728 Q 171
## 742 C 9
## 749 S 197
## 782 C 51
## 797 S 187
## 798 Q 68
## 818 S 47
## 838 S 98
## 848 C 188
## 851 S 69
## 864 S 306
## 874 F G63 S 120
## 889 S 143
## 891 S 156
## 892 S 285
## 898 S 37
## 920 C 58
## 925 Q 70
## 961 C 196
## 993 Q 61
## 1012 S 53
## 1016 S 201
## 1025 F G73 S 309
## 1067 C 181
## 1084 S 173
## 1090 S 89
## 1097 S 4
## 1101 S 206
## 1147 Q 327
## 1153 S 119
## 1154 S 7
## 1170 S 32
## 1172 S 67
## 1193 S 284
## 1240 S 176
## 1252 S 50
## 1264 S 1
## 1265 S 255
## 1286 S 298
## 1289 S 314
## 1295 S 14
## 1297 S 131
## 1302 C 312
## 1305 C 328
## 1307 C 304
#Analyzing the CSV file
print(is.data.frame(titanic))
## [1] TRUE
print(ncol(titanic))
## [1] 12
print(nrow(titanic))
## [1] 119
#Get the maximum age
age <- max(titanic$age)
cat("age: ", age)
## age: 71
#Get the person detail having conditional age
detail_age <- subset(titanic, age <= 20)
print(detail_age)
## pclass survived sex age sibsp parch ticket fare cabin embarked
## 365 2 0 male 19.0 0 0 28424 13.0000 S
## 519 2 0 male 19.0 1 1 C.A. 33112 36.7500 S
## 569 2 0 male 18.5 0 0 248734 13.0000 F S
## 603 3 0 male 16.0 1 1 C.A. 2673 20.2500 S
## 620 3 0 male 18.0 0 0 2223 8.3000 S
## 693 3 0 female 18.5 0 0 329944 7.2833 Q
## 920 3 0 male 18.5 0 0 2682 7.2292 C
## 1012 3 0 female 19.0 1 0 376566 16.1000 S
## 1090 3 0 male 20.0 0 0 6563 9.2250 S
## 1097 3 0 male 2.0 3 1 349909 21.0750 S
## 1172 3 0 male 14.5 8 2 CA. 2343 69.5500 S
## 1264 3 0 male 11.5 1 1 A/5. 851 14.5000 S
## 1289 3 0 male 18.0 1 0 3101267 6.4958 S
## 1305 3 0 female 14.5 1 0 2665 14.4542 C
## boat body
## 365 18
## 519 101
## 569 294
## 603 190
## 620 259
## 693 299
## 920 58
## 1012 53
## 1090 89
## 1097 4
## 1172 67
## 1264 1
## 1289 314
## 1305 328
#subset data frame has pclass is 2
detail_pclass <- subset(titanic, pclass = 2)
print(detail_pclass)
## pclass survived sex age sibsp parch ticket fare
## 4 1 0 male 30.0 1 2 113781 151.5500
## 10 1 0 male 71.0 0 0 PC 17609 49.5042
## 11 1 0 male 47.0 1 0 PC 17757 227.5250
## 26 1 0 male 25.0 0 0 13905 26.0000
## 40 1 0 male 48.0 0 0 PC 17591 50.4958
## 61 1 0 male 36.0 1 0 19877 78.8500
## 82 1 0 male 70.0 1 1 WE/P 5735 71.0000
## 97 1 0 male 50.0 1 0 PC 17761 106.4250
## 102 1 0 male 39.0 0 0 PC 17580 29.7000
## 129 1 0 male 47.0 0 0 111320 38.5000
## 139 1 0 male 38.0 0 1 PC 17582 153.4625
## 151 1 0 male 40.0 0 0 112059 0.0000
## 155 1 0 male 55.0 1 1 12749 93.5000
## 163 1 0 male 42.0 1 0 113789 52.0000
## 172 1 0 male 46.0 0 0 694 26.0000
## 174 1 0 male 32.5 0 0 113503 211.5000
## 175 1 0 male 58.0 0 0 11771 29.7000
## 190 1 0 male 29.0 0 0 113501 30.0000
## 201 1 0 male 46.0 0 0 13050 75.2417
## 202 1 0 male 54.0 0 0 17463 51.8625
## 206 1 0 male 65.0 0 0 13509 26.5500
## 207 1 0 male 44.0 2 0 19928 90.0000
## 216 1 0 male 58.0 0 2 35273 113.2750
## 218 1 0 male 64.0 0 0 693 26.0000
## 222 1 0 male 65.0 0 1 113509 61.9792
## 223 1 0 male 28.5 0 0 PC 17562 27.7208
## 225 1 0 male 45.5 0 0 113043 28.5000
## 233 1 0 male 47.0 0 0 110465 52.0000
## 237 1 0 male 22.0 0 0 PC 17760 135.6333
## 244 1 0 male 46.0 0 0 PC 17585 79.2000
## 249 1 0 male 33.0 0 0 113790 26.5500
## 286 1 0 male 67.0 1 0 PC 17483 221.7792
## 288 1 0 male 61.0 0 0 36963 32.3208
## 301 1 0 male 61.0 0 0 111240 33.5000
## 308 1 0 male 21.0 0 1 35281 77.2875
## 336 2 0 male 51.0 0 0 S.O.P. 1166 12.5250
## 357 2 0 male 25.0 0 0 234686 13.0000
## 365 2 0 male 19.0 0 0 28424 13.0000
## 368 2 0 male 52.0 0 0 248731 13.5000
## 369 2 0 male 37.0 1 0 SC/AH 29037 26.0000
## 392 2 0 male 29.0 1 0 SC/PARIS 2167 27.7208
## 407 2 0 male 40.0 1 0 2926 26.0000
## 410 2 0 male 36.0 0 0 229236 13.0000
## 413 2 0 male 35.0 0 0 239865 26.0000
## 422 2 0 male 24.0 0 0 248726 13.5000
## 423 2 0 male 24.0 0 0 233866 13.0000
## 425 2 0 male 30.0 0 0 250646 13.0000
## 426 2 0 male 52.0 0 0 250647 13.0000
## 427 2 0 male 30.0 0 0 250653 13.0000
## 430 2 0 male 44.0 0 0 248746 13.0000
## 444 2 0 male 32.0 2 0 S.O.C. 14879 73.5000
## 451 2 0 male 50.0 0 0 250643 13.0000
## 467 2 0 male 34.0 1 0 244367 26.0000
## 475 2 0 male 31.0 0 0 C.A. 18723 10.5000
## 487 2 0 male 24.0 0 0 C.A. 29566 10.5000
## 489 2 0 male 50.0 1 0 SC/AH 3085 26.0000
## 491 2 0 female 57.0 0 0 S.O./P.P. 3 10.5000
## 499 2 0 male 32.0 0 0 237216 13.5000
## 506 2 0 male 48.0 0 0 234360 13.0000
## 513 2 0 male 32.5 1 0 237736 30.0708
## 517 2 0 male 36.5 0 2 230080 26.0000
## 519 2 0 male 19.0 1 1 C.A. 33112 36.7500
## 520 2 0 male 28.0 0 0 218629 13.5000
## 568 2 0 male 25.0 0 0 F.C.C. 13540 10.5000
## 569 2 0 male 18.5 0 0 248734 13.0000
## 586 2 0 male 27.0 1 0 228414 26.0000
## 603 3 0 male 16.0 1 1 C.A. 2673 20.2500
## 609 3 0 male 30.0 0 0 C 7076 7.2500
## 610 3 0 male 26.0 0 0 341826 8.0500
## 618 3 0 male 25.0 0 0 SOTON/O.Q. 3101312 7.0500
## 620 3 0 male 18.0 0 0 2223 8.3000
## 621 3 0 male 32.0 0 0 C 4001 22.5250
## 645 3 0 male 40.0 1 5 347077 31.3875
## 693 3 0 female 18.5 0 0 329944 7.2833
## 728 3 0 male 70.5 0 0 370369 7.7500
## 742 3 0 male 22.5 0 0 2698 7.2250
## 749 3 0 male 34.0 1 1 347080 14.4000
## 782 3 0 male 33.0 0 0 349241 7.8958
## 797 3 0 male 40.5 0 0 C.A. 6212 15.1000
## 798 3 0 male 40.5 0 0 367232 7.7500
## 818 3 0 male 22.0 0 0 14973 8.0500
## 838 3 0 male 37.0 2 0 3101276 7.9250
## 848 3 0 male 23.5 0 0 2693 7.2292
## 851 3 0 male 21.0 0 0 350029 7.8542
## 864 3 0 male 28.0 0 0 349243 7.8958
## 874 3 0 male 42.0 0 0 348121 7.6500
## 889 3 0 male 34.0 0 0 3101264 6.4958
## 891 3 0 male 22.0 0 0 350052 7.7958
## 892 3 0 male 33.0 0 0 7540 8.6542
## 898 3 0 male 33.0 0 0 347062 7.7750
## 920 3 0 male 18.5 0 0 2682 7.2292
## 925 3 0 male 34.5 0 0 330911 7.8292
## 961 3 0 male 34.5 0 0 2683 6.4375
## 993 3 0 female 30.5 0 0 364850 7.7500
## 1012 3 0 female 19.0 1 0 376566 16.1000
## 1016 3 0 male 55.5 0 0 A.5. 11206 8.0500
## 1025 3 0 male 25.0 0 0 348123 7.6500
## 1067 3 0 male 28.5 0 0 2697 7.2292
## 1084 3 0 male 28.0 0 0 C 4001 22.5250
## 1090 3 0 male 20.0 0 0 6563 9.2250
## 1097 3 0 male 2.0 3 1 349909 21.0750
## 1101 3 0 female 29.0 0 4 349909 21.0750
## 1147 3 0 female 39.0 0 5 382652 29.1250
## 1153 3 0 male 50.0 1 0 A/5. 3337 14.5000
## 1154 3 0 female 47.0 1 0 A/5. 3337 14.5000
## 1170 3 0 male 38.5 0 0 SOTON/O.Q. 3101262 7.2500
## 1172 3 0 male 14.5 8 2 CA. 2343 69.5500
## 1193 3 0 male 24.5 0 0 342826 8.0500
## 1240 3 0 male 34.0 0 0 363294 8.0500
## 1252 3 0 male 30.5 0 0 364499 8.0500
## 1264 3 0 male 11.5 1 1 A/5. 851 14.5000
## 1265 3 0 male 40.5 0 2 A/5. 851 14.5000
## 1286 3 0 male 32.5 0 0 345775 9.5000
## 1289 3 0 male 18.0 1 0 3101267 6.4958
## 1295 3 0 male 28.5 0 0 54636 16.1000
## 1297 3 0 male 27.0 0 0 315154 8.6625
## 1302 3 0 male 45.5 0 0 2628 7.2250
## 1305 3 0 female 14.5 1 0 2665 14.4542
## 1307 3 0 male 26.5 0 0 2656 7.2250
## cabin embarked boat body
## 4 C22 C26 S 135
## 10 C 22
## 11 C62 C64 C 124
## 26 C 148
## 40 B10 C 208
## 61 C46 S 172
## 82 B22 S 269
## 97 C86 C 62
## 102 A18 C 133
## 129 E63 S 275
## 139 C91 S 147
## 151 B94 S 110
## 155 B69 S 307
## 163 S 38
## 172 S 80
## 174 C132 C 45
## 175 B37 C 258
## 190 D6 S 126
## 201 C6 C 292
## 202 E46 S 175
## 206 E38 S 249
## 207 C78 Q 230
## 216 D48 C 122
## 218 S 263
## 222 B30 C 234
## 223 D43 C 189
## 225 C124 S 166
## 233 C110 S 207
## 237 C 232
## 244 C 16
## 249 S 109
## 286 C55 C57 S 96
## 288 D50 S 46
## 301 B19 S 245
## 308 D26 S 169
## 336 S 174
## 357 S 97
## 365 S 18
## 368 S 130
## 369 S 17
## 392 C 295
## 407 S 286
## 410 S 236
## 413 S 322
## 422 S 297
## 423 S 155
## 425 S 305
## 426 S 19
## 427 S 75
## 430 S 35
## 444 S 256
## 451 S 149
## 467 S 283
## 475 S 165
## 487 S 108
## 489 S 121
## 491 E77 S 52
## 499 S 209
## 506 S 271
## 513 C 43
## 517 F2 S 15
## 519 S 101
## 520 S 287
## 568 S 81
## 569 F S 294
## 586 S 293
## 603 S 190
## 609 S 72
## 610 S 103
## 618 S 79
## 620 S 259
## 621 S 260
## 645 S 142
## 693 Q 299
## 728 Q 171
## 742 C 9
## 749 S 197
## 782 C 51
## 797 S 187
## 798 Q 68
## 818 S 47
## 838 S 98
## 848 C 188
## 851 S 69
## 864 S 306
## 874 F G63 S 120
## 889 S 143
## 891 S 156
## 892 S 285
## 898 S 37
## 920 C 58
## 925 Q 70
## 961 C 196
## 993 Q 61
## 1012 S 53
## 1016 S 201
## 1025 F G73 S 309
## 1067 C 181
## 1084 S 173
## 1090 S 89
## 1097 S 4
## 1101 S 206
## 1147 Q 327
## 1153 S 119
## 1154 S 7
## 1170 S 32
## 1172 S 67
## 1193 S 284
## 1240 S 176
## 1252 S 50
## 1264 S 1
## 1265 S 255
## 1286 S 298
## 1289 S 314
## 1295 S 14
## 1297 S 131
## 1302 C 312
## 1305 C 328
## 1307 C 304
#for date: subset(data, as.Date(start_date) > as.Date("2014-01-10"))
#Writing into a CSV file
write.csv(detail_pclass, "pclass.csv")
df_pclass <- read.csv("pclass.csv")
print(df_pclass)
## X pclass survived sex age sibsp parch ticket fare
## 1 4 1 0 male 30.0 1 2 113781 151.5500
## 2 10 1 0 male 71.0 0 0 PC 17609 49.5042
## 3 11 1 0 male 47.0 1 0 PC 17757 227.5250
## 4 26 1 0 male 25.0 0 0 13905 26.0000
## 5 40 1 0 male 48.0 0 0 PC 17591 50.4958
## 6 61 1 0 male 36.0 1 0 19877 78.8500
## 7 82 1 0 male 70.0 1 1 WE/P 5735 71.0000
## 8 97 1 0 male 50.0 1 0 PC 17761 106.4250
## 9 102 1 0 male 39.0 0 0 PC 17580 29.7000
## 10 129 1 0 male 47.0 0 0 111320 38.5000
## 11 139 1 0 male 38.0 0 1 PC 17582 153.4625
## 12 151 1 0 male 40.0 0 0 112059 0.0000
## 13 155 1 0 male 55.0 1 1 12749 93.5000
## 14 163 1 0 male 42.0 1 0 113789 52.0000
## 15 172 1 0 male 46.0 0 0 694 26.0000
## 16 174 1 0 male 32.5 0 0 113503 211.5000
## 17 175 1 0 male 58.0 0 0 11771 29.7000
## 18 190 1 0 male 29.0 0 0 113501 30.0000
## 19 201 1 0 male 46.0 0 0 13050 75.2417
## 20 202 1 0 male 54.0 0 0 17463 51.8625
## 21 206 1 0 male 65.0 0 0 13509 26.5500
## 22 207 1 0 male 44.0 2 0 19928 90.0000
## 23 216 1 0 male 58.0 0 2 35273 113.2750
## 24 218 1 0 male 64.0 0 0 693 26.0000
## 25 222 1 0 male 65.0 0 1 113509 61.9792
## 26 223 1 0 male 28.5 0 0 PC 17562 27.7208
## 27 225 1 0 male 45.5 0 0 113043 28.5000
## 28 233 1 0 male 47.0 0 0 110465 52.0000
## 29 237 1 0 male 22.0 0 0 PC 17760 135.6333
## 30 244 1 0 male 46.0 0 0 PC 17585 79.2000
## 31 249 1 0 male 33.0 0 0 113790 26.5500
## 32 286 1 0 male 67.0 1 0 PC 17483 221.7792
## 33 288 1 0 male 61.0 0 0 36963 32.3208
## 34 301 1 0 male 61.0 0 0 111240 33.5000
## 35 308 1 0 male 21.0 0 1 35281 77.2875
## 36 336 2 0 male 51.0 0 0 S.O.P. 1166 12.5250
## 37 357 2 0 male 25.0 0 0 234686 13.0000
## 38 365 2 0 male 19.0 0 0 28424 13.0000
## 39 368 2 0 male 52.0 0 0 248731 13.5000
## 40 369 2 0 male 37.0 1 0 SC/AH 29037 26.0000
## 41 392 2 0 male 29.0 1 0 SC/PARIS 2167 27.7208
## 42 407 2 0 male 40.0 1 0 2926 26.0000
## 43 410 2 0 male 36.0 0 0 229236 13.0000
## 44 413 2 0 male 35.0 0 0 239865 26.0000
## 45 422 2 0 male 24.0 0 0 248726 13.5000
## 46 423 2 0 male 24.0 0 0 233866 13.0000
## 47 425 2 0 male 30.0 0 0 250646 13.0000
## 48 426 2 0 male 52.0 0 0 250647 13.0000
## 49 427 2 0 male 30.0 0 0 250653 13.0000
## 50 430 2 0 male 44.0 0 0 248746 13.0000
## 51 444 2 0 male 32.0 2 0 S.O.C. 14879 73.5000
## 52 451 2 0 male 50.0 0 0 250643 13.0000
## 53 467 2 0 male 34.0 1 0 244367 26.0000
## 54 475 2 0 male 31.0 0 0 C.A. 18723 10.5000
## 55 487 2 0 male 24.0 0 0 C.A. 29566 10.5000
## 56 489 2 0 male 50.0 1 0 SC/AH 3085 26.0000
## 57 491 2 0 female 57.0 0 0 S.O./P.P. 3 10.5000
## 58 499 2 0 male 32.0 0 0 237216 13.5000
## 59 506 2 0 male 48.0 0 0 234360 13.0000
## 60 513 2 0 male 32.5 1 0 237736 30.0708
## 61 517 2 0 male 36.5 0 2 230080 26.0000
## 62 519 2 0 male 19.0 1 1 C.A. 33112 36.7500
## 63 520 2 0 male 28.0 0 0 218629 13.5000
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