load("C:/Users/dipsy/Downloads/exampleData.rData")
head("exampleData.rData")
## [1] "exampleData.rData"
tail("exampleData.rData")
## [1] "exampleData.rData"
str("exampleData")
## chr "exampleData"
any(is.na("exampleData"))
## [1] FALSE
sum(is.na("exampleData"))
## [1] 0
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
str(custdata)
## 'data.frame': 1000 obs. of 19 variables:
## $ state.of.res : Factor w/ 50 levels "Alabama","Alaska",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ custid : int 1063014 1192089 16551 1079878 502705 674271 15917 467335 462569 1216026 ...
## $ sex : Factor w/ 2 levels "F","M": 1 2 1 1 2 2 1 2 2 2 ...
## $ is.employed : logi TRUE NA NA NA TRUE FALSE ...
## $ income : int 82000 49000 7000 37200 70000 0 24000 42600 22000 9600 ...
## $ marital.stat : Factor w/ 4 levels "Divorced/Separated",..: 2 2 2 1 2 2 1 3 4 3 ...
## $ health.ins : logi TRUE TRUE TRUE TRUE FALSE TRUE ...
## $ housing.type : Factor w/ 4 levels "Homeowner free and clear",..: 4 1 2 2 4 4 1 4 1 4 ...
## $ recent.move : logi FALSE FALSE FALSE FALSE FALSE TRUE ...
## $ num.vehicles : int 2 2 2 1 4 1 1 1 0 6 ...
## $ age : num 43 77 46 62 37 54 70 33 89 50 ...
## $ is.employed.fix1: chr "employed" "missing" "missing" "missing" ...
## $ age.normalized : num -0.461 1.341 -0.302 0.546 -0.779 ...
## $ Median.Income : num 52371 52371 52371 52371 52371 ...
## $ income.norm : num 1.566 0.936 0.134 0.71 1.337 ...
## $ gp : num 0.935 0.116 0.991 0.187 0.849 ...
## $ income.lt.30K : logi FALSE FALSE TRUE FALSE FALSE TRUE ...
## $ age.range : Factor w/ 3 levels "[0,25]","(25,65]",..: 2 3 2 2 2 2 3 2 3 2 ...
## $ Income : num NA NA 4500 20000 12000 180000 120000 40000 NA 24000 ...
names(custdata)
## [1] "state.of.res" "custid" "sex" "is.employed"
## [5] "income" "marital.stat" "health.ins" "housing.type"
## [9] "recent.move" "num.vehicles" "age" "is.employed.fix1"
## [13] "age.normalized" "Median.Income" "income.norm" "gp"
## [17] "income.lt.30K" "age.range" "Income"
colSums(is.na(custdata))
## state.of.res custid sex is.employed
## 0 0 0 328
## income marital.stat health.ins housing.type
## 0 0 0 56
## recent.move num.vehicles age is.employed.fix1
## 56 56 0 0
## age.normalized Median.Income income.norm gp
## 0 0 0 0
## income.lt.30K age.range Income
## 0 0 328
custdata[!complete.cases(custdata), ]
## state.of.res custid sex is.employed income marital.stat health.ins
## 1 Alabama 1063014 F TRUE 82000 Married TRUE
## 2 Alabama 1192089 M NA 49000 Married TRUE
## 3 Alabama 16551 F NA 7000 Married TRUE
## 4 Alabama 1079878 F NA 37200 Divorced/Separated TRUE
## 9 Alabama 462569 M NA 22000 Widowed TRUE
## 10 Alabama 1216026 M NA 9600 Never Married FALSE
## 11 Alabama 1036358 F TRUE 44500 Divorced/Separated TRUE
## 13 Alaska 415575 M NA 0 Never Married TRUE
## 17 Arizona 68013 M NA 100 Divorced/Separated FALSE
## 20 Arizona 870909 F NA 4000 Married TRUE
## 21 Arizona 1372296 F NA 62000 Widowed TRUE
## 24 Arizona 211330 F NA 12200 Divorced/Separated TRUE
## 26 Arizona 291564 F NA 28100 Widowed TRUE
## 28 Arkansas 1269051 F NA 137600 Widowed TRUE
## 30 Arkansas 1200487 M NA 0 Never Married FALSE
## 32 Arkansas 399930 M TRUE 55000 Divorced/Separated TRUE
## 33 Arkansas 961665 M NA 0 Never Married FALSE
## 35 Arkansas 1358975 F TRUE 92000 Divorced/Separated TRUE
## 36 Arkansas 55992 F NA 0 Married TRUE
## 38 Arkansas 1305771 F TRUE 14400 Never Married TRUE
## 39 Arkansas 450221 M TRUE 15800 Married FALSE
## 40 California 799565 M NA 1600 Never Married FALSE
## 41 California 1199409 M TRUE 18000 Never Married FALSE
## 42 California 167154 M NA 0 Never Married FALSE
## 45 California 461021 F FALSE 9600 Widowed TRUE
## 47 California 1047534 M TRUE 200000 Married TRUE
## 48 California 1016594 M NA 14400 Married TRUE
## 49 California 1353087 M NA 0 Never Married FALSE
## 50 California 390273 M NA 27100 Married TRUE
## 51 California 106956 F TRUE 150600 Divorced/Separated TRUE
## 54 California 218283 F NA 20000 Married TRUE
## 56 California 65004 F TRUE 150000 Never Married TRUE
## 57 California 1175925 M NA 0 Married TRUE
## 58 California 819436 F NA 56800 Widowed TRUE
## 59 California 1225838 M TRUE 75000 Married TRUE
## 64 California 80274 M NA 37300 Married TRUE
## 65 California 778092 M TRUE 60000 Married TRUE
## 66 California 51723 F NA 15700 Widowed TRUE
## 69 California 27214 M NA 18800 Married TRUE
## 70 California 581657 F NA 7500 Widowed TRUE
## 71 California 419751 M TRUE 95300 Married TRUE
## 73 California 210241 F TRUE 10000 Never Married FALSE
## 75 California 955457 M TRUE 32000 Married TRUE
## 76 California 1391586 M NA 22000 Married TRUE
## 78 California 1392648 M TRUE 70000 Married TRUE
## 79 California 510555 M TRUE 30000 Divorced/Separated FALSE
## 80 California 354269 M NA 22000 Never Married FALSE
## 82 California 1222630 F TRUE 78000 Married TRUE
## 83 California 223773 F NA 10200 Widowed TRUE
## 84 California 517696 F NA 6300 Married TRUE
## 85 California 8322 F TRUE 180000 Never Married TRUE
## 86 California 1269661 F NA 13600 Married FALSE
## 91 California 988580 M NA 17100 Married TRUE
## 94 California 994628 F NA 0 Married FALSE
## 97 California 1412971 M NA 43400 Married TRUE
## 98 California 116171 F NA 51500 Widowed TRUE
## 99 California 53186 F NA 0 Married TRUE
## 100 California 829722 F NA 29000 Widowed TRUE
## 103 California 146457 M TRUE 49000 Never Married TRUE
## 104 California 158530 M NA 1400 Married TRUE
## 112 California 433755 F NA 60000 Widowed TRUE
## 115 California 1055360 F NA 0 Married TRUE
## 116 California 908928 M TRUE 32000 Divorced/Separated TRUE
## 118 California 56040 F NA 0 Married TRUE
## 119 California 932574 M NA 12500 Never Married TRUE
## 120 California 352275 F FALSE 36000 Married TRUE
## 124 California 38827 F NA 9700 Married TRUE
## 125 California 1210604 F NA 31500 Widowed TRUE
## 126 California 1211323 M NA 46200 Widowed TRUE
## 127 California 628305 M NA 24400 Married TRUE
## 129 California 1371785 F TRUE 44900 Divorced/Separated FALSE
## 130 California 1409249 M NA 36200 Married TRUE
## 131 California 431729 M NA 26700 Married TRUE
## 132 California 851013 M TRUE 85200 Married TRUE
## 134 California 996953 F FALSE 0 Married FALSE
## 138 California 348319 F NA 0 Married TRUE
## 139 California 333982 F NA 19200 Married TRUE
## 140 California 394790 M NA 69040 Married TRUE
## 142 California 535114 F NA 0 Married FALSE
## 144 California 1022619 M NA 62800 Divorced/Separated TRUE
## 147 California 265299 M NA 65500 Married TRUE
## 149 California 835830 F TRUE 51000 Married TRUE
## 150 California 98086 M NA 52100 Married TRUE
## 152 California 1361709 M NA 10800 Married TRUE
## 153 California 1201949 M NA 25300 Divorced/Separated TRUE
## 154 Colorado 904673 F NA 0 Married TRUE
## 156 Colorado 1390506 M TRUE 76000 Married TRUE
## 157 Colorado 648220 M TRUE 20000 Married TRUE
## 158 Colorado 1165177 M TRUE 40000 Divorced/Separated TRUE
## 160 Colorado 53759 F NA 0 Married TRUE
## 164 Connecticut 76182 F TRUE 18200 Divorced/Separated FALSE
## 165 Connecticut 102269 M NA 14400 Married TRUE
## 166 Connecticut 837381 M TRUE 10800 Never Married TRUE
## 168 Connecticut 1139422 F NA 9600 Widowed TRUE
## 169 Connecticut 458265 M TRUE 15000 Married TRUE
## 170 Connecticut 150055 F TRUE 78000 Married TRUE
## 171 Connecticut 1282762 M NA 0 Never Married FALSE
## 172 Connecticut 892483 M NA 100 Married TRUE
## 173 Connecticut 487556 M TRUE 94700 Married TRUE
## 174 Connecticut 227318 M NA 30000 Married TRUE
## 176 Connecticut 572341 F TRUE 16000 Divorced/Separated TRUE
## 178 Connecticut 177122 F TRUE 2000 Married TRUE
## 179 Connecticut 776471 M NA 39900 Married TRUE
## 180 Connecticut 491848 F NA 16700 Widowed TRUE
## 181 Connecticut 896869 F FALSE 22000 Divorced/Separated FALSE
## 184 Delaware 1039209 M NA 1000 Married TRUE
## 187 Florida 904144 F NA 5700 Widowed TRUE
## 189 Florida 86786 F TRUE 39600 Never Married TRUE
## 190 Florida 679084 M NA 29200 Married TRUE
## 193 Florida 1005559 M NA 82800 Married TRUE
## 194 Florida 181385 F NA 290 Married FALSE
## 195 Florida 220135 M TRUE 75000 Divorced/Separated TRUE
## 196 Florida 419951 F TRUE 12000 Never Married TRUE
## 197 Florida 316753 M TRUE 54000 Married TRUE
## 198 Florida 503412 M TRUE 16000 Never Married TRUE
## 200 Florida 147984 F NA 0 Married TRUE
## 201 Florida 761424 M TRUE 90000 Married TRUE
## 202 Florida 571834 F FALSE 19200 Never Married TRUE
## 204 Florida 511732 F NA 0 Never Married FALSE
## 205 Florida 801018 F NA 45000 Married TRUE
## 206 Florida 432526 F NA 7300 Married TRUE
## 208 Florida 426154 F NA 10200 Divorced/Separated TRUE
## 209 Florida 195539 M NA 65700 Married TRUE
## 213 Florida 330543 F NA 3000 Married TRUE
## 214 Florida 111870 M TRUE 26000 Married FALSE
## 215 Florida 46791 M NA 22700 Married TRUE
## 216 Florida 618036 M FALSE 38200 Never Married FALSE
## 218 Georgia 445622 F NA 0 Never Married TRUE
## 219 Georgia 479327 F TRUE 6400 Divorced/Separated TRUE
## 222 Georgia 1262853 M TRUE 8000 Never Married TRUE
## 223 Georgia 258948 F NA 10820 Widowed TRUE
## 226 Georgia 1185382 F NA 7200 Never Married TRUE
## 227 Georgia 851287 M NA 12801 Widowed TRUE
## 229 Georgia 1216615 F NA 25000 Widowed TRUE
## 230 Georgia 80549 M NA 85200 Married TRUE
## 232 Georgia 215876 F NA 53600 Widowed TRUE
## 233 Georgia 908176 F NA 10100 Widowed TRUE
## 237 Georgia 638760 M FALSE 20000 Married FALSE
## 238 Georgia 843811 F TRUE 40000 Never Married TRUE
## 241 Georgia 1314429 M NA 39000 Married TRUE
## 242 Georgia 604216 M NA 16500 Divorced/Separated FALSE
## 244 Hawaii 986096 M TRUE 172000 Married TRUE
## 247 Idaho 110024 F NA 18960 Widowed TRUE
## 248 Illinois 2068 F NA 11300 Married TRUE
## 250 Illinois 1024624 F TRUE 31900 Divorced/Separated TRUE
## 251 Illinois 151876 F NA 18900 Divorced/Separated TRUE
## 252 Illinois 680503 M TRUE 110010 Never Married TRUE
## 253 Illinois 750282 M NA 8900 Married TRUE
## 254 Illinois 343235 M TRUE 24000 Never Married TRUE
## 256 Illinois 863424 F TRUE 62000 Never Married TRUE
## 262 Illinois 1088407 M TRUE 180000 Married TRUE
## 265 Illinois 178178 F TRUE 54000 Never Married TRUE
## 267 Illinois 42374 M NA 7800 Never Married TRUE
## 270 Illinois 878578 M TRUE 24000 Never Married TRUE
## 271 Illinois 283607 M TRUE 20000 Married TRUE
## 272 Illinois 1064979 F TRUE 45000 Divorced/Separated TRUE
## 273 Illinois 487369 F FALSE 22000 Divorced/Separated TRUE
## 274 Illinois 532971 M TRUE 39000 Married TRUE
## 275 Illinois 316280 M TRUE 56000 Divorced/Separated TRUE
## 276 Illinois 1283591 M NA 65000 Married TRUE
## 278 Illinois 847699 M TRUE 26300 Never Married TRUE
## 279 Illinois 1284555 F TRUE 191500 Married TRUE
## 280 Illinois 1321154 F NA 8000 Widowed TRUE
## 281 Illinois 523990 F TRUE 90000 Never Married TRUE
## 282 Illinois 968830 M TRUE 4230 Never Married TRUE
## 284 Illinois 931449 M NA 42400 Married TRUE
## 285 Illinois 396116 F NA 0 Married TRUE
## 286 Illinois 291608 F NA 24700 Widowed TRUE
## 291 Illinois 597817 F NA 12500 Widowed TRUE
## 292 Illinois 277784 F NA 15800 Divorced/Separated TRUE
## 296 Illinois 406984 F NA 10100 Divorced/Separated TRUE
## 297 Illinois 583249 F TRUE 15000 Never Married TRUE
## 300 Indiana 427431 F NA 7900 Divorced/Separated TRUE
## 303 Indiana 1273216 M NA 0 Married FALSE
## 305 Indiana 559955 M NA 0 Never Married FALSE
## 307 Indiana 821107 F TRUE 53900 Married TRUE
## 308 Indiana 283521 F TRUE 172000 Married TRUE
## 310 Indiana 318348 F TRUE 40000 Divorced/Separated FALSE
## 311 Indiana 124968 F TRUE 100000 Never Married TRUE
## 312 Indiana 980412 F NA 28800 Married TRUE
## 313 Indiana 1267710 M TRUE 68000 Divorced/Separated TRUE
## 314 Indiana 1065059 F FALSE 26600 Never Married FALSE
## 320 Indiana 1046317 F NA 19000 Widowed TRUE
## 321 Indiana 210427 M NA 12600 Married TRUE
## 327 Iowa 69062 M TRUE 120300 Married TRUE
## 328 Iowa 464082 F NA 0 Married FALSE
## 330 Iowa 519446 F NA 19500 Divorced/Separated TRUE
## 331 Iowa 979736 M TRUE 32000 Married TRUE
## 332 Iowa 1083939 M NA 0 Married TRUE
## 334 Iowa 1236675 M TRUE 40200 Divorced/Separated TRUE
## 336 Kansas 536879 M NA 0 Married TRUE
## 337 Kansas 236880 F TRUE 6000 Never Married TRUE
## 339 Kansas 182146 F FALSE 40000 Never Married FALSE
## 343 Kentucky 191536 F NA 19000 Widowed TRUE
## 345 Kentucky 900377 M TRUE 70000 Married TRUE
## 347 Kentucky 136206 F NA 3700 Married TRUE
## 352 Kentucky 932143 F TRUE 50000 Divorced/Separated TRUE
## 353 Kentucky 213854 M NA 4000 Never Married TRUE
## 354 Kentucky 1198992 M NA 94600 Married TRUE
## 355 Louisiana 47009 F TRUE 34300 Married TRUE
## 357 Louisiana 598008 M TRUE 388000 Married TRUE
## 358 Louisiana 523769 F TRUE 42220 Never Married TRUE
## 361 Louisiana 902413 M TRUE 52000 Married TRUE
## 362 Louisiana 1293509 M NA 10400 Never Married TRUE
## 364 Louisiana 1120122 M NA 6000 Never Married TRUE
## 367 Louisiana 1377197 M NA 50000 Married TRUE
## 368 Louisiana 186808 F NA 33600 Divorced/Separated TRUE
## 369 Louisiana 846713 M NA 250 Never Married TRUE
## 371 Louisiana 151678 M NA 0 Never Married FALSE
## 372 Maine 1379307 M NA 0 Never Married FALSE
## 373 Maine 799074 F NA 56500 Married TRUE
## 374 Maine 1150024 M TRUE 36000 Married TRUE
## 376 Maine 542384 F NA 0 Married FALSE
## 378 Maine 1213106 M TRUE 60000 Married TRUE
## 379 Maine 924426 M TRUE 65000 Divorced/Separated TRUE
## 380 Maine 1411860 F NA 5400 Widowed TRUE
## 381 Maine 361968 M FALSE 27200 Divorced/Separated TRUE
## 382 Maryland 86711 M NA 47950 Never Married TRUE
## 384 Maryland 909002 F NA 0 Married TRUE
## 386 Maryland 174248 M NA 29300 Married TRUE
## 387 Maryland 175033 M NA 269000 Married TRUE
## 388 Maryland 706135 M TRUE 120000 Married TRUE
## 391 Maryland 1114096 M TRUE 33500 Married TRUE
## 393 Maryland 67776 M TRUE 52000 Married TRUE
## 394 Maryland 971768 M TRUE 8000 Never Married FALSE
## 396 Maryland 440475 M TRUE 35000 Married TRUE
## 397 Massachusetts 832435 M TRUE 55001 Married TRUE
## 398 Massachusetts 1097109 M TRUE 44000 Married TRUE
## 399 Massachusetts 224356 M TRUE 60000 Married TRUE
## 400 Massachusetts 609449 F NA 53010 Widowed TRUE
## 401 Massachusetts 816872 M NA 41000 Married TRUE
## 404 Massachusetts 361561 F NA 3000 Divorced/Separated TRUE
## 406 Massachusetts 1029778 M TRUE 11200 Married TRUE
## 407 Massachusetts 988264 M FALSE 5000 Married TRUE
## 408 Massachusetts 773582 F NA 27200 Widowed TRUE
## 409 Massachusetts 578596 M TRUE 143100 Married TRUE
## 410 Massachusetts 583934 F NA 24000 Widowed TRUE
## 411 Massachusetts 1379036 M FALSE 12000 Divorced/Separated FALSE
## 412 Massachusetts 52197 M NA 65100 Married TRUE
## 413 Massachusetts 1295682 M NA 250700 Married TRUE
## 414 Massachusetts 50220 M NA 22300 Divorced/Separated TRUE
## 418 Massachusetts 1278909 M NA 26910 Married TRUE
## 419 Massachusetts 766390 M NA 2100 Divorced/Separated TRUE
## 420 Massachusetts 1408913 F NA 1000 Married TRUE
## 421 Massachusetts 1152642 M NA 0 Never Married FALSE
## 422 Massachusetts 1369231 M NA 252000 Married TRUE
## 423 Massachusetts 887400 M TRUE 43000 Divorced/Separated TRUE
## 424 Massachusetts 459910 M NA 56300 Married TRUE
## 426 Massachusetts 878875 M TRUE 40500 Married TRUE
## 427 Michigan 456859 M TRUE 80 Never Married TRUE
## 428 Michigan 975652 F TRUE 61000 Never Married TRUE
## 430 Michigan 364991 F NA 12000 Divorced/Separated TRUE
## 431 Michigan 1255530 M FALSE 2400 Never Married FALSE
## 433 Michigan 394696 F NA 10200 Married TRUE
## 434 Michigan 685994 F TRUE 21100 Married FALSE
## 435 Michigan 887135 M NA 233000 Married TRUE
## 437 Michigan 1048652 F NA 1400 Divorced/Separated TRUE
## 438 Michigan 164576 F NA 0 Never Married FALSE
## 439 Michigan 1407916 M TRUE 30000 Never Married TRUE
## 440 Michigan 661353 F NA 180704 Married TRUE
## 442 Michigan 1329294 M TRUE 75200 Married TRUE
## 446 Michigan 739344 M NA 127500 Widowed TRUE
## 447 Michigan 191018 F NA 13200 Married TRUE
## 448 Michigan 960591 M TRUE 40000 Never Married TRUE
## 449 Michigan 702740 M TRUE 104000 Married TRUE
## 450 Michigan 1057167 F NA 29100 Widowed TRUE
## 454 Michigan 314099 F NA 0 Widowed FALSE
## 455 Michigan 561588 F TRUE 60000 Married TRUE
## 456 Michigan 1140973 M NA 36000 Divorced/Separated TRUE
## 457 Michigan 315265 M NA 34900 Married TRUE
## 458 Michigan 649827 F NA 5500 Married TRUE
## 461 Michigan 12195 M TRUE 40000 Married TRUE
## 464 Michigan 591244 M NA 72600 Never Married TRUE
## 465 Michigan 117911 M TRUE 29500 Widowed TRUE
## 469 Michigan 1170716 F NA 15200 Widowed TRUE
## 470 Minnesota 861046 F TRUE 68000 Married TRUE
## 472 Minnesota 458094 F NA 0 Divorced/Separated TRUE
## 474 Minnesota 1095968 F TRUE 69500 Divorced/Separated TRUE
## 475 Minnesota 1160167 M NA 41500 Married TRUE
## 476 Minnesota 912196 F NA 14500 Divorced/Separated TRUE
## 478 Minnesota 178887 F NA 0 Married FALSE
## 482 Minnesota 1068379 F TRUE 80700 Divorced/Separated TRUE
## 483 Minnesota 875771 M FALSE 175200 Married TRUE
## 484 Minnesota 938913 M NA 47000 Married TRUE
## 486 Minnesota 220142 F NA 0 Never Married TRUE
## 489 Mississippi 733457 F NA 10000 Divorced/Separated TRUE
## 493 Mississippi 668750 F NA 1200 Never Married FALSE
## 494 Mississippi 85398 F TRUE 21600 Never Married FALSE
## 497 Mississippi 258722 F NA 2680 Married TRUE
## 498 Mississippi 728498 M TRUE 120000 Married TRUE
## 499 Mississippi 1238436 F NA 0 Married FALSE
## 501 Mississippi 1180739 F TRUE 115800 Married TRUE
## 502 Mississippi 823146 F NA 70000 Widowed TRUE
## 503 Mississippi 822729 M NA 62130 Married TRUE
## 504 Missouri 607766 F TRUE 19000 Never Married TRUE
## 510 Missouri 184170 M NA 68800 Married TRUE
## 512 Missouri 1380075 F NA 248500 Widowed TRUE
## 513 Missouri 693571 F NA 0 Married FALSE
## 515 Missouri 489718 M NA 0 Never Married TRUE
## 517 Missouri 559163 M NA 47000 Married TRUE
## 519 Missouri 588705 M NA 9600 Married TRUE
## 520 Missouri 177145 M TRUE 60000 Married TRUE
## 521 Missouri 499492 M NA 15400 Never Married TRUE
## 522 Missouri 1408280 F TRUE 18000 Married TRUE
## 524 Missouri 551584 M TRUE 20000 Married TRUE
## 525 Missouri 182072 F NA 0 Widowed FALSE
## 528 Montana 491389 F NA 10000 Married TRUE
## 530 Nebraska 54177 M FALSE 51500 Married TRUE
## 531 Nebraska 545826 F NA 20300 Divorced/Separated TRUE
## 534 Nebraska 1359790 M NA 79950 Married TRUE
## 536 Nevada 1082333 M TRUE 45000 Divorced/Separated TRUE
## 539 Nevada 867842 F NA 27400 Widowed TRUE
## 542 New Hampshire 993668 F TRUE 80000 Never Married TRUE
## 545 New Hampshire 868481 M TRUE 30000 Married TRUE
## 546 New Hampshire 1086785 F NA 11600 Married TRUE
## 549 New Jersey 1259643 F FALSE 0 Divorced/Separated TRUE
## 550 New Jersey 1269422 M TRUE 36000 Never Married TRUE
## 551 New Jersey 928569 F TRUE 14800 Married TRUE
## 553 New Jersey 478228 M NA 98900 Married TRUE
## 556 New Jersey 536463 M TRUE 399900 Married TRUE
## 558 New Jersey 560783 F NA 0 Never Married TRUE
## 559 New Jersey 421248 M TRUE 80000 Married TRUE
## 560 New Jersey 104506 M NA 30800 Married TRUE
## 561 New Jersey 898396 M TRUE 45000 Married TRUE
## 564 New Jersey 461429 M NA 12400 Married TRUE
## 566 New Jersey 601247 M NA 93500 Divorced/Separated TRUE
## 567 New Jersey 118561 F NA 9600 Widowed TRUE
## 569 New Jersey 48479 M TRUE 90000 Divorced/Separated TRUE
## 570 New Jersey 517253 M TRUE 141000 Married TRUE
## 571 New Jersey 673010 M TRUE 63000 Married TRUE
## 573 New Jersey 778821 M NA 23500 Widowed TRUE
## 576 New Jersey 1393413 M TRUE 9100 Never Married TRUE
## 577 New Jersey 1276808 M TRUE 40000 Never Married FALSE
## 578 New Jersey 1282540 M NA 35870 Never Married TRUE
## 583 New Jersey 1210039 F TRUE 48000 Never Married FALSE
## 587 New Mexico 72741 F NA 42500 Widowed TRUE
## 588 New Mexico 92706 M NA 9100 Never Married TRUE
## 589 New Mexico 153419 M NA 61400 Married TRUE
## 590 New Mexico 864947 F NA 22700 Divorced/Separated TRUE
## 592 New York 26057 M TRUE 30000 Married TRUE
## 595 New York 869997 M TRUE 62000 Never Married TRUE
## 597 New York 175572 F FALSE 0 Married FALSE
## 598 New York 382338 M NA 21400 Married TRUE
## 600 New York 331868 F NA 36600 Widowed TRUE
## 602 New York 90303 M NA 0 Never Married FALSE
## 606 New York 149480 F NA 0 Married FALSE
## 607 New York 1267400 M NA 25000 Divorced/Separated TRUE
## 611 New York 115100 M NA 0 Never Married FALSE
## 612 New York 1121810 F NA 57700 Divorced/Separated TRUE
## 613 New York 510349 F NA 23600 Never Married TRUE
## 614 New York 382614 M NA 24800 Never Married TRUE
## 616 New York 1236386 F NA 12600 Widowed TRUE
## 617 New York 217315 M TRUE 110000 Married TRUE
## 618 New York 646061 F NA 11500 Widowed TRUE
## 621 New York 1412161 M TRUE 38500 Married TRUE
## 624 New York 957083 M NA 30400 Divorced/Separated TRUE
## 626 New York 562962 M NA 0 Married TRUE
## 628 New York 546208 M NA 26000 Divorced/Separated TRUE
## 629 New York 141492 F NA 0 Married TRUE
## 631 New York 499637 F NA 12000 Never Married TRUE
## 632 New York 825790 F TRUE 42300 Married TRUE
## 633 New York 1036746 F NA 33100 Widowed TRUE
## 637 New York 435651 F NA 10800 Divorced/Separated TRUE
## 639 New York 1185185 M NA 19000 Married TRUE
## 640 New York 385318 F NA 10800 Widowed TRUE
## 646 New York 374930 M NA 0 Married FALSE
## 647 New York 1089530 F TRUE 48000 Widowed TRUE
## 648 New York 251365 F TRUE 58000 Divorced/Separated TRUE
## 649 New York 1283962 M TRUE 23950 Never Married FALSE
## 651 New York 596523 F TRUE 80000 Divorced/Separated TRUE
## 653 New York 1327830 M NA 47000 Divorced/Separated TRUE
## 654 New York 27928 M TRUE 75000 Divorced/Separated TRUE
## 655 New York 179481 F TRUE 2000 Married TRUE
## 656 New York 1328836 M NA 54100 Widowed TRUE
## 657 New York 1375846 F TRUE 113950 Divorced/Separated TRUE
## 664 New York 845421 F FALSE 4300 Married TRUE
## 666 New York 998185 F NA 6000 Married TRUE
## 667 New York 683867 M TRUE 82000 Married TRUE
## 668 New York 618059 F NA 15800 Widowed TRUE
## 669 New York 832866 M NA 6000 Divorced/Separated FALSE
## 670 New York 1032402 M TRUE 22800 Married TRUE
## 671 New York 1369740 M NA 48330 Widowed TRUE
## 672 New York 1115937 F NA 12500 Never Married TRUE
## 674 New York 1400440 M NA 0 Married TRUE
## 679 New York 249492 F NA 10100 Widowed TRUE
## 680 New York 1253904 M TRUE 100000 Married TRUE
## 681 New York 203816 F NA 0 Married TRUE
## 682 New York 1361012 F NA 255000 Widowed TRUE
## 683 New York 126507 M TRUE 112000 Married TRUE
## 684 New York 430516 F NA 20000 Widowed TRUE
## 687 North Carolina 2073 F NA 0 Married TRUE
## 690 North Carolina 568892 F NA 9600 Widowed TRUE
## 691 North Carolina 460925 F NA 31300 Married TRUE
## 693 North Carolina 344685 M NA 0 Never Married TRUE
## 694 North Carolina 608789 M NA 15000 Divorced/Separated TRUE
## 695 North Carolina 1342135 F NA 0 Never Married TRUE
## 697 North Carolina 965689 M NA 17990 Married TRUE
## 699 North Carolina 1263543 M NA 19200 Married TRUE
## 701 North Carolina 492789 F NA 0 Married TRUE
## 702 North Carolina 1405584 F NA 4000 Married TRUE
## 706 North Carolina 335174 M NA 21000 Married TRUE
## 709 North Carolina 403690 M FALSE 34020 Divorced/Separated FALSE
## 710 North Dakota 548303 M NA 26700 Widowed TRUE
## 711 North Dakota 1052064 M TRUE 100000 Never Married TRUE
## 712 North Dakota 423910 M TRUE 192000 Married TRUE
## 713 Ohio 388567 F NA 14600 Divorced/Separated TRUE
## 714 Ohio 259807 M NA 440 Married TRUE
## 716 Ohio 1038537 F TRUE 32000 Never Married FALSE
## 717 Ohio 520030 M TRUE 49000 Never Married TRUE
## 720 Ohio 911763 F NA 26800 Widowed TRUE
## 721 Ohio 27445 F TRUE 35000 Never Married TRUE
## 722 Ohio 209604 M TRUE 87000 Married TRUE
## 723 Ohio 122231 M TRUE 100000 Divorced/Separated TRUE
## 724 Ohio 145172 M NA 241000 Divorced/Separated TRUE
## 725 Ohio 159573 F NA 14400 Widowed TRUE
## 726 Ohio 1267682 F NA 18200 Widowed TRUE
## 727 Ohio 1037857 M TRUE 39000 Married TRUE
## 731 Ohio 496465 M NA 0 Divorced/Separated FALSE
## 732 Ohio 733069 F NA 48400 Married TRUE
## 733 Ohio 756892 M NA 53000 Married TRUE
## 734 Ohio 1057778 F NA 18000 Never Married TRUE
## 736 Ohio 1362854 F NA 35700 Married FALSE
## 739 Ohio 537484 F TRUE 28000 Married TRUE
## 740 Ohio 786358 M TRUE 60000 Married TRUE
## 742 Ohio 886647 F TRUE 10600 Never Married FALSE
## 746 Ohio 601778 F TRUE 10100 Widowed FALSE
## 747 Ohio 262234 M NA 16000 Married TRUE
## 751 Ohio 74447 M TRUE 162000 Married TRUE
## 754 Ohio 1288195 M TRUE 2000 Never Married TRUE
## 756 Ohio 543309 M NA 10500 Never Married TRUE
## 757 Ohio 1254684 M NA 20800 Married TRUE
## 758 Ohio 1172770 M NA 74500 Married TRUE
## 759 Ohio 528994 M NA 0 Divorced/Separated FALSE
## 760 Ohio 756752 M TRUE 17300 Never Married FALSE
## 761 Ohio 1238518 M NA 13200 Married TRUE
## 764 Ohio 25863 M NA 41000 Divorced/Separated TRUE
## 765 Ohio 1356541 F NA 0 Never Married TRUE
## 766 Ohio 376508 F NA 0 Married FALSE
## 769 Ohio 821682 M TRUE 40000 Married TRUE
## 771 Ohio 1152584 F NA 9600 Divorced/Separated TRUE
## 774 Oklahoma 1215332 F TRUE 42000 Married TRUE
## 776 Oklahoma 310588 M TRUE 110000 Never Married TRUE
## 777 Oklahoma 991794 M NA 14600 Married TRUE
## 778 Oklahoma 1217985 F NA 19000 Widowed TRUE
## 779 Oregon 1097837 F FALSE 26800 Married TRUE
## 780 Oregon 913679 M NA 22000 Married TRUE
## 781 Oregon 269836 F NA 22400 Widowed TRUE
## 787 Pennsylvania 281529 F NA 0 Divorced/Separated FALSE
## 792 Pennsylvania 351129 F NA 0 Never Married TRUE
## 793 Pennsylvania 14989 M NA 9400 Married TRUE
## 796 Pennsylvania 1223510 F NA 19600 Widowed TRUE
## 797 Pennsylvania 638458 F NA 8000 Never Married FALSE
## 800 Pennsylvania 1322627 M NA 20600 Married TRUE
## 802 Pennsylvania 438304 M FALSE 9700 Married TRUE
## 805 Pennsylvania 991697 F NA 11000 Never Married FALSE
## 807 Pennsylvania 361946 M TRUE 90600 Married TRUE
## 808 Pennsylvania 1219346 M NA 0 Never Married FALSE
## 809 Pennsylvania 416624 F TRUE 30000 Married TRUE
## 810 Pennsylvania 1401938 F TRUE 32000 Divorced/Separated TRUE
## 812 Pennsylvania 635515 F TRUE 120000 Divorced/Separated TRUE
## 814 Pennsylvania 844007 M NA 0 Married FALSE
## 818 Pennsylvania 30768 M TRUE 80000 Married TRUE
## 819 Pennsylvania 925421 M TRUE 35600 Married FALSE
## 820 Pennsylvania 980947 F NA 2400 Never Married TRUE
## 823 Pennsylvania 1386080 F NA 27000 Divorced/Separated TRUE
## 825 Pennsylvania 792130 F NA 30000 Never Married TRUE
## 828 Pennsylvania 1234349 F TRUE 68400 Married TRUE
## 830 Pennsylvania 49496 M NA 94400 Widowed TRUE
## 831 Pennsylvania 646808 M TRUE 36000 Married TRUE
## 832 Pennsylvania 518899 M TRUE 148000 Married TRUE
## 835 Pennsylvania 525942 F NA 10400 Divorced/Separated TRUE
## 838 Pennsylvania 117900 M TRUE 60000 Married TRUE
## 839 Pennsylvania 680475 M TRUE 2000 Never Married TRUE
## 840 Pennsylvania 1194722 F FALSE 3160 Never Married FALSE
## 843 Pennsylvania 291599 M TRUE 45000 Married TRUE
## 844 Pennsylvania 737283 M NA 0 Married FALSE
## 845 Pennsylvania 991888 M NA 67000 Married TRUE
## 846 Pennsylvania 1229417 F TRUE 48000 Married TRUE
## 847 Pennsylvania 374461 M NA 58600 Divorced/Separated TRUE
## 848 Pennsylvania 1354211 M TRUE 136800 Married TRUE
## 849 Pennsylvania 272748 M TRUE 60000 Never Married TRUE
## 850 Rhode Island 684701 M NA 12600 Widowed FALSE
## 851 Rhode Island 1218268 F NA 0 Divorced/Separated TRUE
## 855 South Carolina 441221 M TRUE 93500 Never Married TRUE
## 856 South Carolina 1068855 M TRUE 171000 Married TRUE
## 858 South Carolina 1171358 F TRUE 75000 Never Married TRUE
## 859 South Carolina 901246 F TRUE 65000 Married TRUE
## 860 South Carolina 683320 F TRUE 70200 Married TRUE
## 861 South Carolina 342460 M TRUE 45000 Married TRUE
## 864 South Carolina 1307013 F NA 0 Widowed FALSE
## 866 South Carolina 818228 M NA 25750 Widowed TRUE
## 869 Tennessee 1072259 M NA 10500 Divorced/Separated TRUE
## 872 Tennessee 459959 F NA 13300 Widowed TRUE
## 876 Tennessee 1398054 M TRUE 125000 Married TRUE
## 877 Tennessee 716518 M TRUE 35050 Married FALSE
## 879 Tennessee 363008 F NA 5400 Married TRUE
## 880 Tennessee 1370515 F NA 15300 Married TRUE
## 884 Tennessee 800960 M NA 258000 Married TRUE
## 886 Texas 382908 F NA 30200 Widowed TRUE
## 889 Texas 1278230 F TRUE 110000 Married TRUE
## 890 Texas 1003135 M NA 15400 Married TRUE
## 896 Texas 595944 F TRUE 59500 Never Married TRUE
## 897 Texas 756099 M TRUE 70504 Married TRUE
## 900 Texas 156520 M TRUE 75000 Married TRUE
## 901 Texas 139771 M TRUE 9600 Married TRUE
## 902 Texas 595796 M NA 93400 Married TRUE
## 903 Texas 40449 M NA 13000 Married TRUE
## 904 Texas 1280826 M TRUE 120000 Never Married TRUE
## 906 Texas 324029 F TRUE 25000 Married TRUE
## 907 Texas 82503 M TRUE 70000 Married TRUE
## 909 Texas 159107 M NA 40000 Widowed TRUE
## 910 Texas 668777 M NA 0 Never Married FALSE
## 911 Texas 335080 M TRUE 10000 Married TRUE
## 913 Texas 997940 F NA 0 Married TRUE
## 914 Texas 18487 F TRUE 89200 Divorced/Separated TRUE
## 915 Texas 1297652 M TRUE 165200 Married TRUE
## 916 Texas 1329913 F NA 12400 Divorced/Separated TRUE
## 921 Texas 904594 F NA 0 Married FALSE
## 922 Texas 97247 F NA 70500 Widowed TRUE
## 923 Texas 509386 F NA 0 Never Married TRUE
## 924 Texas 445937 F NA 69900 Widowed TRUE
## 925 Texas 688736 F NA 0 Married TRUE
## 926 Texas 1034994 F NA 10400 Widowed TRUE
## 929 Texas 1100932 F FALSE 11400 Married TRUE
## 931 Texas 684640 M TRUE 18200 Divorced/Separated TRUE
## 933 Texas 395888 M TRUE 10800 Married FALSE
## 934 Texas 966699 M TRUE 70000 Divorced/Separated TRUE
## 936 Utah 642727 F TRUE 48000 Divorced/Separated TRUE
## 937 Utah 824378 F NA 48000 Widowed TRUE
## 938 Utah 795198 F FALSE 23800 Married TRUE
## 940 Utah 349344 M TRUE 77000 Married TRUE
## 941 Vermont 518076 F NA 40600 Widowed TRUE
## 944 Virginia 53214 M TRUE 84010 Married TRUE
## 947 Virginia 873626 F TRUE 35000 Married TRUE
## 949 Virginia 415060 F FALSE 16000 Divorced/Separated TRUE
## 952 Virginia 1264160 F NA 34400 Widowed TRUE
## 953 Virginia 1034979 F NA 750 Never Married TRUE
## 954 Virginia 149429 M TRUE 90000 Never Married TRUE
## 955 Virginia 55873 F NA 25400 Never Married TRUE
## 956 Virginia 965618 M TRUE 113500 Never Married TRUE
## 960 Virginia 1003695 F NA 0 Never Married TRUE
## 962 Virginia 214083 M NA 54540 Married TRUE
## 963 Virginia 184506 M TRUE 40000 Divorced/Separated FALSE
## 965 Washington 356763 M TRUE 24000 Married FALSE
## 967 Washington 1281448 M NA 10600 Widowed TRUE
## 969 Washington 268667 M NA 200 Never Married TRUE
## 970 Washington 1058755 F TRUE 37000 Divorced/Separated TRUE
## 971 Washington 882950 F NA 14500 Widowed TRUE
## 972 Washington 491280 M NA 127000 Married TRUE
## 973 Washington 931352 F NA 9600 Widowed TRUE
## 974 Washington 702348 F NA 3000 Married TRUE
## 977 West Virginia 1137728 F NA 10800 Widowed TRUE
## 980 West Virginia 298782 M NA 11200 Widowed TRUE
## 982 Wisconsin 970098 M NA 19000 Married TRUE
## 983 Wisconsin 928004 M NA 17000 Married TRUE
## 988 Wisconsin 1105503 M TRUE 52200 Married TRUE
## 990 Wisconsin 1133606 F NA 24000 Widowed TRUE
## 994 Wisconsin 1131536 M TRUE 80000 Married TRUE
## 995 Wisconsin 155762 M TRUE 60000 Divorced/Separated FALSE
## 996 Wisconsin 880240 M NA 0 Never Married TRUE
## 997 Wyoming 116481 F NA 15900 Divorced/Separated TRUE
## 998 Wyoming 1216094 M NA 32100 Married TRUE
## 999 Wyoming 1149284 M TRUE 28800 Divorced/Separated TRUE
## housing.type recent.move num.vehicles age
## 1 Rented FALSE 2 43.0000
## 2 Homeowner free and clear FALSE 2 77.0000
## 3 Homeowner with mortgage/loan FALSE 2 46.0000
## 4 Homeowner with mortgage/loan FALSE 1 62.0000
## 9 Homeowner free and clear FALSE 0 89.0000
## 10 Rented FALSE 6 50.0000
## 11 Rented TRUE 1 48.0000
## 13 <NA> NA NA 63.0000
## 17 <NA> NA NA 28.0000
## 20 Homeowner free and clear FALSE 2 57.0000
## 21 Homeowner free and clear TRUE 1 62.0000
## 24 Homeowner free and clear FALSE 1 78.0000
## 26 Homeowner free and clear FALSE 1 75.0000
## 28 Homeowner with mortgage/loan FALSE 1 69.0000
## 30 <NA> NA NA 36.0000
## 32 Homeowner with mortgage/loan FALSE 2 42.0000
## 33 <NA> NA NA 45.0000
## 35 Homeowner with mortgage/loan FALSE 1 46.0000
## 36 Rented FALSE 1 38.0000
## 38 Rented TRUE 1 31.0000
## 39 Homeowner with mortgage/loan FALSE 2 64.0000
## 40 <NA> NA NA 23.0000
## 41 Rented FALSE 1 34.0000
## 42 <NA> NA NA 31.0000
## 45 Rented FALSE 2 64.0000
## 47 Homeowner with mortgage/loan FALSE 4 130.4016
## 48 Rented FALSE 1 69.0000
## 49 <NA> NA NA 25.0000
## 50 Homeowner free and clear FALSE 2 64.0000
## 51 Homeowner with mortgage/loan FALSE 2 50.0000
## 54 Homeowner with mortgage/loan FALSE 2 37.0000
## 56 Homeowner with mortgage/loan FALSE 4 49.0000
## 57 Homeowner with mortgage/loan FALSE 5 59.0000
## 58 Homeowner with mortgage/loan FALSE 1 81.0000
## 59 Homeowner with mortgage/loan FALSE 2 62.0000
## 64 Homeowner free and clear FALSE 5 68.0000
## 65 Homeowner with mortgage/loan FALSE 3 38.0000
## 66 Homeowner free and clear FALSE 1 78.0000
## 69 Homeowner free and clear FALSE 2 68.0000
## 70 Homeowner free and clear FALSE 1 83.0000
## 71 Homeowner with mortgage/loan FALSE 4 57.0000
## 73 Rented FALSE 1 29.0000
## 75 Homeowner free and clear FALSE 4 43.0000
## 76 Homeowner free and clear FALSE 4 64.0000
## 78 Homeowner with mortgage/loan FALSE 5 60.0000
## 79 Rented FALSE 2 47.0000
## 80 Rented TRUE 1 29.0000
## 82 Homeowner with mortgage/loan FALSE 2 52.0000
## 83 Rented TRUE 1 74.0000
## 84 Homeowner free and clear FALSE 2 56.0000
## 85 Homeowner with mortgage/loan FALSE 1 40.0000
## 86 Homeowner free and clear FALSE 2 59.0000
## 91 Homeowner with mortgage/loan FALSE 0 77.0000
## 94 Rented FALSE 2 29.0000
## 97 Homeowner free and clear FALSE 1 88.0000
## 98 Homeowner free and clear FALSE 1 81.0000
## 99 Homeowner with mortgage/loan FALSE 2 61.0000
## 100 Homeowner free and clear FALSE 0 78.0000
## 103 Rented FALSE 2 35.0000
## 104 Homeowner with mortgage/loan FALSE 1 83.0000
## 112 Homeowner with mortgage/loan FALSE 3 85.0000
## 115 Homeowner with mortgage/loan FALSE 3 58.0000
## 116 Homeowner free and clear FALSE 4 56.0000
## 118 Rented TRUE 2 39.0000
## 119 Rented FALSE 0 66.0000
## 120 Occupied with no rent FALSE 3 58.0000
## 124 Homeowner with mortgage/loan FALSE 2 72.0000
## 125 Rented FALSE 0 89.0000
## 126 Rented TRUE 1 74.0000
## 127 <NA> NA NA 93.0000
## 129 Homeowner with mortgage/loan FALSE 4 47.0000
## 130 Homeowner free and clear FALSE 5 73.0000
## 131 Homeowner with mortgage/loan FALSE 2 75.0000
## 132 Homeowner with mortgage/loan FALSE 2 63.0000
## 134 Rented TRUE 3 35.0000
## 138 Rented FALSE 3 26.0000
## 139 Homeowner free and clear FALSE 2 72.0000
## 140 Homeowner with mortgage/loan FALSE 3 75.0000
## 142 Homeowner with mortgage/loan TRUE 1 50.0000
## 144 Rented FALSE 1 72.0000
## 147 Homeowner with mortgage/loan FALSE 2 69.0000
## 149 Homeowner with mortgage/loan FALSE 3 41.0000
## 150 Homeowner with mortgage/loan TRUE 2 69.0000
## 152 Rented FALSE 2 70.0000
## 153 Homeowner free and clear FALSE 4 83.0000
## 154 Homeowner with mortgage/loan FALSE 4 52.0000
## 156 Homeowner with mortgage/loan FALSE 2 33.0000
## 157 Homeowner with mortgage/loan FALSE 3 51.0000
## 158 Rented FALSE 2 38.0000
## 160 Homeowner with mortgage/loan FALSE 2 34.0000
## 164 Homeowner with mortgage/loan FALSE 1 41.0000
## 165 Rented TRUE 1 84.0000
## 166 <NA> NA NA 20.0000
## 168 Rented FALSE 1 85.0000
## 169 Homeowner free and clear FALSE 1 58.0000
## 170 Rented FALSE 2 24.0000
## 171 <NA> NA NA 41.0000
## 172 Homeowner with mortgage/loan FALSE 3 68.0000
## 173 Homeowner with mortgage/loan FALSE 2 55.0000
## 174 Homeowner with mortgage/loan FALSE 2 69.0000
## 176 Rented FALSE 1 36.0000
## 178 Homeowner with mortgage/loan FALSE 1 39.0000
## 179 Homeowner with mortgage/loan FALSE 1 64.0000
## 180 Rented FALSE 1 84.0000
## 181 Rented FALSE 1 63.0000
## 184 Homeowner with mortgage/loan FALSE 4 59.0000
## 187 Homeowner free and clear FALSE 1 93.0000
## 189 Rented FALSE 1 49.0000
## 190 Homeowner with mortgage/loan FALSE 1 88.0000
## 193 Homeowner with mortgage/loan FALSE 2 63.0000
## 194 Homeowner free and clear FALSE 2 28.0000
## 195 Rented TRUE 2 64.0000
## 196 Rented FALSE 2 21.0000
## 197 Homeowner with mortgage/loan FALSE 2 36.0000
## 198 <NA> NA NA 21.0000
## 200 Rented FALSE 1 49.0000
## 201 Homeowner free and clear FALSE 2 39.0000
## 202 Rented FALSE 1 29.0000
## 204 <NA> NA NA 32.0000
## 205 Homeowner with mortgage/loan FALSE 2 64.0000
## 206 Homeowner with mortgage/loan FALSE 2 44.0000
## 208 Rented FALSE 0 76.0000
## 209 Rented FALSE 2 69.0000
## 213 <NA> NA NA 93.0000
## 214 Homeowner with mortgage/loan FALSE 1 54.0000
## 215 Homeowner free and clear FALSE 2 67.0000
## 216 Rented FALSE 2 41.0000
## 218 Rented FALSE 2 48.0000
## 219 Rented FALSE 2 37.0000
## 222 <NA> NA NA 20.0000
## 223 Rented FALSE 1 85.0000
## 226 <NA> NA NA 26.0000
## 227 Homeowner with mortgage/loan FALSE 2 65.0000
## 229 Homeowner free and clear FALSE 3 83.0000
## 230 Homeowner free and clear FALSE 2 75.0000
## 232 Rented FALSE 0 88.0000
## 233 Rented FALSE 0 76.0000
## 237 Homeowner free and clear FALSE 1 33.0000
## 238 Homeowner with mortgage/loan FALSE 1 146.6802
## 241 Homeowner free and clear FALSE 2 69.0000
## 242 <NA> NA NA 42.0000
## 244 Homeowner with mortgage/loan FALSE 2 41.0000
## 247 Homeowner free and clear FALSE 2 83.0000
## 248 Homeowner free and clear FALSE 2 49.0000
## 250 Homeowner free and clear FALSE 1 62.0000
## 251 Rented FALSE 1 86.0000
## 252 Rented FALSE 1 33.0000
## 253 Occupied with no rent FALSE 1 89.0000
## 254 Rented FALSE 1 32.0000
## 256 Rented FALSE 1 42.0000
## 262 Homeowner with mortgage/loan FALSE 2 36.0000
## 265 Rented FALSE 1 35.0000
## 267 Homeowner free and clear FALSE 1 65.0000
## 270 Homeowner with mortgage/loan FALSE 2 38.0000
## 271 Rented TRUE 2 41.0000
## 272 Rented FALSE 2 43.0000
## 273 Homeowner with mortgage/loan FALSE 1 48.0000
## 274 Rented FALSE 2 33.0000
## 275 Rented FALSE 1 44.0000
## 276 Homeowner free and clear FALSE 2 84.0000
## 278 Homeowner with mortgage/loan TRUE 4 26.0000
## 279 Homeowner with mortgage/loan FALSE 2 41.0000
## 280 <NA> NA NA 83.0000
## 281 Rented FALSE 1 31.0000
## 282 Homeowner with mortgage/loan FALSE 3 67.0000
## 284 Homeowner free and clear FALSE 2 0.0000
## 285 Rented FALSE 2 25.0000
## 286 Homeowner free and clear FALSE 1 79.0000
## 291 Rented FALSE 1 80.0000
## 292 Rented FALSE 1 76.0000
## 296 Rented FALSE 1 71.0000
## 297 Rented FALSE 2 59.0000
## 300 Rented FALSE 0 45.0000
## 303 Rented FALSE 2 59.0000
## 305 <NA> NA NA 36.0000
## 307 Homeowner with mortgage/loan FALSE 3 68.0000
## 308 Homeowner with mortgage/loan FALSE 2 55.0000
## 310 Homeowner with mortgage/loan FALSE 4 55.0000
## 311 Homeowner free and clear FALSE 1 56.0000
## 312 Homeowner with mortgage/loan FALSE 2 62.0000
## 313 Homeowner with mortgage/loan FALSE 2 42.0000
## 314 Rented FALSE 1 28.0000
## 320 Homeowner with mortgage/loan FALSE 1 89.0000
## 321 Homeowner free and clear FALSE 3 78.0000
## 327 Homeowner free and clear FALSE 4 59.0000
## 328 Rented FALSE 2 26.0000
## 330 Rented FALSE 0 70.0000
## 331 Homeowner with mortgage/loan FALSE 3 36.0000
## 332 Homeowner free and clear FALSE 1 73.0000
## 334 Homeowner with mortgage/loan FALSE 1 39.0000
## 336 Homeowner with mortgage/loan FALSE 3 53.0000
## 337 Rented FALSE 1 39.0000
## 339 Rented FALSE 1 35.0000
## 343 Rented FALSE 0 82.0000
## 345 Homeowner with mortgage/loan FALSE 4 47.0000
## 347 Homeowner with mortgage/loan FALSE 2 56.0000
## 352 Homeowner with mortgage/loan FALSE 1 52.0000
## 353 Rented FALSE 0 22.0000
## 354 Homeowner with mortgage/loan FALSE 2 70.0000
## 355 Rented FALSE 1 33.0000
## 357 Homeowner with mortgage/loan FALSE 2 51.0000
## 358 Homeowner with mortgage/loan FALSE 1 43.0000
## 361 Homeowner with mortgage/loan FALSE 2 45.0000
## 362 Rented TRUE 0 34.0000
## 364 <NA> NA NA 80.0000
## 367 Rented TRUE 2 38.0000
## 368 Homeowner with mortgage/loan FALSE 4 61.0000
## 369 <NA> NA NA 45.0000
## 371 <NA> NA NA 34.0000
## 372 <NA> NA NA 23.0000
## 373 Homeowner free and clear FALSE 3 74.0000
## 374 Rented FALSE 2 37.0000
## 376 Rented FALSE 2 57.0000
## 378 Homeowner free and clear TRUE 2 38.0000
## 379 Rented TRUE 2 37.0000
## 380 <NA> NA NA 89.0000
## 381 Rented FALSE 1 68.0000
## 382 Homeowner free and clear FALSE 1 76.0000
## 384 Homeowner with mortgage/loan FALSE 2 31.0000
## 386 Homeowner with mortgage/loan FALSE 3 68.0000
## 387 Homeowner with mortgage/loan FALSE 2 47.0000
## 388 Homeowner free and clear FALSE 2 41.0000
## 391 Rented FALSE 1 46.0000
## 393 Homeowner with mortgage/loan FALSE 1 38.0000
## 394 <NA> NA NA 45.0000
## 396 Homeowner free and clear FALSE 2 49.0000
## 397 Homeowner free and clear FALSE 3 48.0000
## 398 Homeowner with mortgage/loan FALSE 4 50.0000
## 399 Homeowner with mortgage/loan FALSE 2 60.0000
## 400 Homeowner free and clear FALSE 2 83.0000
## 401 Homeowner with mortgage/loan FALSE 2 72.0000
## 404 Rented FALSE 1 26.0000
## 406 Homeowner with mortgage/loan FALSE 2 84.0000
## 407 Homeowner with mortgage/loan FALSE 5 55.0000
## 408 Homeowner free and clear FALSE 2 74.0000
## 409 Homeowner free and clear FALSE 4 66.0000
## 410 Homeowner free and clear FALSE 2 69.0000
## 411 Occupied with no rent FALSE 2 61.0000
## 412 Homeowner free and clear FALSE 2 66.0000
## 413 Homeowner with mortgage/loan FALSE 3 76.0000
## 414 Rented FALSE 1 85.0000
## 418 Homeowner free and clear FALSE 5 70.0000
## 419 Homeowner with mortgage/loan FALSE 2 86.0000
## 420 Rented FALSE 0 60.0000
## 421 Rented FALSE 1 54.0000
## 422 Homeowner with mortgage/loan FALSE 2 73.0000
## 423 Rented FALSE 2 57.0000
## 424 Homeowner free and clear FALSE 1 93.0000
## 426 Rented TRUE 2 37.0000
## 427 <NA> NA NA 18.0000
## 428 Rented FALSE 1 35.0000
## 430 Homeowner with mortgage/loan FALSE 1 123.0610
## 431 Rented TRUE 1 50.0000
## 433 Rented FALSE 1 58.0000
## 434 Homeowner free and clear FALSE 2 63.0000
## 435 Homeowner free and clear FALSE 2 67.0000
## 437 Rented TRUE 1 77.0000
## 438 Rented FALSE 1 28.0000
## 439 Homeowner with mortgage/loan FALSE 1 46.0000
## 440 Homeowner with mortgage/loan FALSE 2 64.0000
## 442 Homeowner free and clear FALSE 2 65.0000
## 446 Homeowner free and clear FALSE 5 75.0000
## 447 Homeowner free and clear FALSE 4 64.0000
## 448 Homeowner with mortgage/loan FALSE 1 49.0000
## 449 Homeowner with mortgage/loan FALSE 2 35.0000
## 450 <NA> NA NA 93.0000
## 454 Rented TRUE 2 68.0000
## 455 Homeowner with mortgage/loan FALSE 4 54.0000
## 456 Homeowner with mortgage/loan FALSE 2 43.0000
## 457 Homeowner free and clear FALSE 3 82.0000
## 458 <NA> NA NA 89.0000
## 461 Rented FALSE 3 48.0000
## 464 Homeowner free and clear FALSE 2 58.0000
## 465 Rented FALSE 2 67.0000
## 469 Rented FALSE 1 65.0000
## 470 Rented TRUE 2 29.0000
## 472 Rented FALSE 1 41.0000
## 474 Homeowner with mortgage/loan FALSE 1 46.0000
## 475 Homeowner with mortgage/loan FALSE 2 74.0000
## 476 Rented FALSE 0 84.0000
## 478 Rented FALSE 0 44.0000
## 482 Homeowner with mortgage/loan FALSE 1 61.0000
## 483 Homeowner with mortgage/loan FALSE 3 124.8451
## 484 Homeowner free and clear FALSE 1 61.0000
## 486 <NA> NA NA 18.0000
## 489 Rented FALSE 0 86.0000
## 493 <NA> NA NA 24.0000
## 494 Homeowner with mortgage/loan FALSE 6 44.0000
## 497 Homeowner with mortgage/loan FALSE 2 45.0000
## 498 Homeowner with mortgage/loan FALSE 1 52.0000
## 499 Rented FALSE 2 25.0000
## 501 Homeowner with mortgage/loan FALSE 3 52.0000
## 502 Homeowner with mortgage/loan FALSE 1 81.0000
## 503 Homeowner free and clear FALSE 2 67.0000
## 504 Rented FALSE 1 49.0000
## 510 Homeowner free and clear FALSE 3 70.0000
## 512 Homeowner with mortgage/loan FALSE 1 81.0000
## 513 Homeowner with mortgage/loan FALSE 2 44.0000
## 515 Rented TRUE 0 21.0000
## 517 Homeowner with mortgage/loan FALSE 2 70.0000
## 519 Homeowner with mortgage/loan FALSE 1 84.0000
## 520 Homeowner with mortgage/loan FALSE 2 46.0000
## 521 Homeowner free and clear FALSE 1 54.0000
## 522 Homeowner with mortgage/loan FALSE 4 52.0000
## 524 Homeowner free and clear TRUE 1 40.0000
## 525 Rented FALSE 1 45.0000
## 528 Homeowner free and clear TRUE 2 51.0000
## 530 Homeowner free and clear FALSE 2 86.0000
## 531 Rented FALSE 0 78.0000
## 534 Homeowner free and clear FALSE 2 67.0000
## 536 Homeowner free and clear FALSE 2 50.0000
## 539 Homeowner free and clear FALSE 1 75.0000
## 542 Rented TRUE 2 39.0000
## 545 Homeowner with mortgage/loan FALSE 3 36.0000
## 546 Homeowner free and clear FALSE 2 84.0000
## 549 Rented TRUE 1 57.0000
## 550 <NA> NA NA 26.0000
## 551 Rented TRUE 2 21.0000
## 553 Homeowner with mortgage/loan FALSE 4 64.0000
## 556 Homeowner free and clear FALSE 2 68.0000
## 558 <NA> NA NA 37.0000
## 559 Homeowner free and clear FALSE 3 58.0000
## 560 Homeowner with mortgage/loan FALSE 2 83.0000
## 561 Homeowner free and clear FALSE 3 47.0000
## 564 Rented FALSE 2 81.0000
## 566 Homeowner with mortgage/loan FALSE 3 73.0000
## 567 Rented FALSE 1 60.0000
## 569 Homeowner with mortgage/loan FALSE 2 58.0000
## 570 Homeowner with mortgage/loan FALSE 2 60.0000
## 571 Rented TRUE 1 46.0000
## 573 Homeowner free and clear FALSE 2 79.0000
## 576 Occupied with no rent FALSE 1 64.0000
## 577 Rented FALSE 1 27.0000
## 578 Homeowner free and clear FALSE 1 52.0000
## 583 Rented FALSE 0 48.0000
## 587 Homeowner free and clear FALSE 0 88.0000
## 588 Rented FALSE 0 82.0000
## 589 Homeowner with mortgage/loan FALSE 3 73.0000
## 590 Homeowner free and clear FALSE 1 67.0000
## 592 <NA> NA NA 28.0000
## 595 Homeowner with mortgage/loan FALSE 1 28.0000
## 597 Rented TRUE 2 38.0000
## 598 Homeowner free and clear FALSE 1 70.0000
## 600 Homeowner free and clear FALSE 2 85.0000
## 602 <NA> NA NA 45.0000
## 606 Homeowner free and clear FALSE 2 46.0000
## 607 Rented FALSE 0 70.0000
## 611 <NA> NA NA 29.0000
## 612 Homeowner free and clear FALSE 1 80.0000
## 613 Homeowner with mortgage/loan FALSE 1 78.0000
## 614 <NA> NA NA 55.0000
## 616 Homeowner free and clear FALSE 1 78.0000
## 617 Homeowner with mortgage/loan FALSE 4 47.0000
## 618 Rented FALSE 2 54.0000
## 621 Rented TRUE 1 29.0000
## 624 Rented TRUE 0 64.0000
## 626 Homeowner with mortgage/loan FALSE 3 55.0000
## 628 <NA> NA NA 40.0000
## 629 Homeowner with mortgage/loan FALSE 3 34.0000
## 631 <NA> NA NA 93.0000
## 632 Homeowner free and clear TRUE 1 39.0000
## 633 Homeowner with mortgage/loan FALSE 2 65.0000
## 637 Rented FALSE 1 63.0000
## 639 Homeowner with mortgage/loan FALSE 1 71.0000
## 640 Rented FALSE 0 72.0000
## 646 <NA> NA NA 55.0000
## 647 Rented FALSE 1 54.0000
## 648 Homeowner with mortgage/loan FALSE 1 64.0000
## 649 Rented FALSE 1 65.0000
## 651 Rented TRUE 1 31.0000
## 653 Homeowner with mortgage/loan FALSE 1 67.0000
## 654 Homeowner with mortgage/loan FALSE 2 58.0000
## 655 Homeowner with mortgage/loan FALSE 3 53.0000
## 656 Homeowner free and clear FALSE 2 86.0000
## 657 Rented FALSE 2 0.0000
## 664 Rented FALSE 0 27.0000
## 666 Homeowner with mortgage/loan FALSE 2 36.0000
## 667 Homeowner with mortgage/loan FALSE 2 62.0000
## 668 Occupied with no rent FALSE 2 89.0000
## 669 Homeowner with mortgage/loan FALSE 2 57.0000
## 670 Rented TRUE 2 72.0000
## 671 Rented FALSE 1 64.0000
## 672 Rented FALSE 0 58.0000
## 674 <NA> NA NA 37.0000
## 679 <NA> NA NA 93.0000
## 680 Homeowner with mortgage/loan FALSE 4 55.0000
## 681 Homeowner with mortgage/loan FALSE 2 57.0000
## 682 Homeowner free and clear FALSE 1 113.3372
## 683 Homeowner with mortgage/loan FALSE 4 51.0000
## 684 Homeowner free and clear FALSE 1 81.0000
## 687 Rented TRUE 3 40.0000
## 690 Rented FALSE 0 86.0000
## 691 Homeowner free and clear FALSE 1 72.0000
## 693 <NA> NA NA 39.0000
## 694 <NA> NA NA 58.0000
## 695 <NA> NA NA 31.0000
## 697 Homeowner with mortgage/loan FALSE 3 56.0000
## 699 Homeowner free and clear FALSE 3 77.0000
## 701 Homeowner with mortgage/loan FALSE 2 60.0000
## 702 Homeowner with mortgage/loan FALSE 2 55.0000
## 706 Homeowner with mortgage/loan FALSE 0 76.0000
## 709 Homeowner with mortgage/loan FALSE 2 50.0000
## 710 Homeowner free and clear FALSE 0 63.0000
## 711 Rented FALSE 1 33.0000
## 712 Homeowner with mortgage/loan FALSE 4 58.0000
## 713 Rented FALSE 1 44.0000
## 714 <NA> NA NA 49.0000
## 716 Homeowner free and clear FALSE 1 42.0000
## 717 Homeowner with mortgage/loan FALSE 1 66.0000
## 720 Homeowner with mortgage/loan FALSE 2 77.0000
## 721 Rented FALSE 2 53.0000
## 722 Homeowner free and clear FALSE 4 54.0000
## 723 Homeowner with mortgage/loan FALSE 2 48.0000
## 724 Homeowner with mortgage/loan FALSE 1 83.0000
## 725 Homeowner free and clear FALSE 1 69.0000
## 726 Homeowner free and clear FALSE 2 74.0000
## 727 Homeowner with mortgage/loan FALSE 3 22.0000
## 731 <NA> NA NA 45.0000
## 732 Homeowner free and clear TRUE 1 45.0000
## 733 Homeowner with mortgage/loan FALSE 2 68.0000
## 734 Rented FALSE 4 19.0000
## 736 Homeowner with mortgage/loan FALSE 1 28.0000
## 739 Homeowner with mortgage/loan FALSE 3 51.0000
## 740 Homeowner with mortgage/loan FALSE 4 56.0000
## 742 Rented FALSE 4 19.0000
## 746 Homeowner with mortgage/loan FALSE 1 63.0000
## 747 Homeowner free and clear FALSE 3 65.0000
## 751 Homeowner with mortgage/loan FALSE 4 33.0000
## 754 Rented FALSE 0 28.0000
## 756 Rented FALSE 0 44.0000
## 757 Homeowner with mortgage/loan FALSE 1 93.0000
## 758 Homeowner free and clear FALSE 2 62.0000
## 759 <NA> NA NA 44.0000
## 760 Rented TRUE 2 29.0000
## 761 Homeowner free and clear FALSE 2 78.0000
## 764 Homeowner with mortgage/loan FALSE 1 70.0000
## 765 Rented TRUE 1 21.0000
## 766 Rented FALSE 1 42.0000
## 769 Homeowner with mortgage/loan FALSE 2 62.0000
## 771 Rented FALSE 0 73.0000
## 774 Homeowner with mortgage/loan FALSE 2 64.0000
## 776 Rented FALSE 0 40.0000
## 777 Homeowner free and clear FALSE 1 93.0000
## 778 Homeowner with mortgage/loan FALSE 2 74.0000
## 779 Homeowner with mortgage/loan FALSE 2 53.0000
## 780 Homeowner free and clear FALSE 2 83.0000
## 781 Homeowner with mortgage/loan FALSE 1 77.0000
## 787 Homeowner free and clear FALSE 3 41.0000
## 792 Rented FALSE 2 51.0000
## 793 Rented FALSE 2 44.0000
## 796 Homeowner free and clear FALSE 2 76.0000
## 797 Rented FALSE 0 43.0000
## 800 Homeowner with mortgage/loan FALSE 2 54.0000
## 802 Rented FALSE 1 77.0000
## 805 Rented FALSE 2 40.0000
## 807 Homeowner free and clear FALSE 2 68.0000
## 808 <NA> NA NA 23.0000
## 809 Rented FALSE 1 43.0000
## 810 Rented FALSE 2 24.0000
## 812 Rented FALSE 1 51.0000
## 814 <NA> NA NA 46.0000
## 818 Homeowner with mortgage/loan FALSE 2 50.0000
## 819 Homeowner with mortgage/loan FALSE 2 49.0000
## 820 Rented TRUE 2 20.0000
## 823 Homeowner free and clear FALSE 1 65.0000
## 825 Homeowner free and clear FALSE 1 72.0000
## 828 Homeowner with mortgage/loan TRUE 1 29.0000
## 830 Homeowner free and clear FALSE 2 88.0000
## 831 Rented FALSE 0 40.0000
## 832 Homeowner with mortgage/loan FALSE 3 49.0000
## 835 Rented FALSE 0 78.0000
## 838 Homeowner with mortgage/loan FALSE 2 40.0000
## 839 <NA> NA NA 21.0000
## 840 Rented FALSE 0 40.0000
## 843 Rented FALSE 2 27.0000
## 844 Homeowner with mortgage/loan FALSE 2 61.0000
## 845 Homeowner free and clear FALSE 1 93.0000
## 846 Homeowner with mortgage/loan FALSE 3 0.0000
## 847 Rented FALSE 1 80.0000
## 848 Homeowner with mortgage/loan FALSE 3 60.0000
## 849 Rented FALSE 3 44.0000
## 850 Homeowner with mortgage/loan FALSE 3 63.0000
## 851 Rented FALSE 1 57.0000
## 855 Rented TRUE 0 25.0000
## 856 Homeowner with mortgage/loan FALSE 6 59.0000
## 858 Rented TRUE 1 40.0000
## 859 Homeowner with mortgage/loan FALSE 3 39.0000
## 860 Homeowner with mortgage/loan FALSE 3 32.0000
## 861 Rented FALSE 1 32.0000
## 864 Rented FALSE 5 55.0000
## 866 Homeowner with mortgage/loan FALSE 2 73.0000
## 869 Homeowner with mortgage/loan FALSE 1 60.0000
## 872 <NA> NA NA 68.0000
## 876 Homeowner with mortgage/loan FALSE 3 34.0000
## 877 Homeowner with mortgage/loan FALSE 3 44.0000
## 879 Rented FALSE 1 84.0000
## 880 Homeowner with mortgage/loan FALSE 2 62.0000
## 884 Homeowner with mortgage/loan FALSE 2 68.0000
## 886 Homeowner with mortgage/loan FALSE 2 74.0000
## 889 Homeowner with mortgage/loan TRUE 2 33.0000
## 890 <NA> NA NA 88.0000
## 896 Homeowner free and clear FALSE 1 63.0000
## 897 Homeowner with mortgage/loan FALSE 1 62.0000
## 900 Homeowner with mortgage/loan FALSE 2 40.0000
## 901 Rented FALSE 2 42.0000
## 902 Homeowner free and clear FALSE 2 82.0000
## 903 Homeowner free and clear FALSE 3 84.0000
## 904 Homeowner with mortgage/loan FALSE 1 40.0000
## 906 Rented FALSE 1 37.0000
## 907 Homeowner free and clear FALSE 2 69.0000
## 909 Homeowner with mortgage/loan FALSE 1 65.0000
## 910 <NA> NA NA 33.0000
## 911 Rented TRUE 2 28.0000
## 913 Rented TRUE 2 27.0000
## 914 Homeowner with mortgage/loan FALSE 1 63.0000
## 915 Homeowner with mortgage/loan FALSE 3 62.0000
## 916 Rented FALSE 0 64.0000
## 921 Rented TRUE 2 50.0000
## 922 Homeowner with mortgage/loan FALSE 1 78.0000
## 923 <NA> NA NA 85.0000
## 924 Rented FALSE 1 86.0000
## 925 Rented FALSE 2 34.0000
## 926 Occupied with no rent FALSE 2 57.0000
## 929 Homeowner with mortgage/loan FALSE 2 40.0000
## 931 Rented FALSE 1 70.0000
## 933 Rented FALSE 1 29.0000
## 934 Rented FALSE 1 50.0000
## 936 Homeowner with mortgage/loan FALSE 1 58.0000
## 937 Homeowner free and clear FALSE 1 75.0000
## 938 Rented FALSE 2 31.0000
## 940 Homeowner with mortgage/loan FALSE 4 55.0000
## 941 Homeowner free and clear FALSE 2 73.0000
## 944 Homeowner with mortgage/loan FALSE 2 57.0000
## 947 Homeowner with mortgage/loan FALSE 2 46.0000
## 949 Homeowner with mortgage/loan FALSE 1 60.0000
## 952 Homeowner free and clear FALSE 1 80.0000
## 953 Rented FALSE 1 38.0000
## 954 Homeowner with mortgage/loan FALSE 2 41.0000
## 955 Rented FALSE 1 60.0000
## 956 Homeowner with mortgage/loan FALSE 2 48.0000
## 960 Rented FALSE 1 55.0000
## 962 Homeowner free and clear FALSE 1 73.0000
## 963 Rented TRUE 2 39.0000
## 965 Rented FALSE 3 48.0000
## 967 Homeowner free and clear FALSE 2 47.0000
## 969 <NA> NA NA 31.0000
## 970 Homeowner free and clear FALSE 1 59.0000
## 971 Homeowner free and clear FALSE 0 86.0000
## 972 Homeowner with mortgage/loan FALSE 3 61.0000
## 973 Homeowner free and clear FALSE 1 85.0000
## 974 Rented TRUE 4 20.0000
## 977 Homeowner free and clear FALSE 1 84.0000
## 980 <NA> NA NA 73.0000
## 982 Rented TRUE 2 65.0000
## 983 Homeowner with mortgage/loan FALSE 2 58.0000
## 988 Homeowner with mortgage/loan FALSE 4 62.0000
## 990 Homeowner with mortgage/loan FALSE 1 67.0000
## 994 Homeowner with mortgage/loan FALSE 4 57.0000
## 995 Homeowner free and clear FALSE 2 49.0000
## 996 <NA> NA NA 87.0000
## 997 Homeowner free and clear FALSE 2 88.0000
## 998 Homeowner free and clear FALSE 2 69.0000
## 999 Homeowner with mortgage/loan TRUE 1 40.0000
## is.employed.fix1 age.normalized Median.Income income.norm gp
## 1 employed -0.46119995 52371 1.565752038 0.9350599921
## 2 missing 1.34122908 52371 0.935632316 0.1162410986
## 3 missing -0.30216210 52371 0.133661759 0.9906832285
## 4 missing 0.54603980 52371 0.710316778 0.1873559637
## 9 missing 1.97738050 52371 0.420079815 0.5089611090
## 10 missing -0.09011162 52371 0.183307556 0.5748650925
## 11 employed -0.19613686 52371 0.849706899 0.1778035082
## 13 missing 0.59905242 44191 0.000000000 0.9561311656
## 17 missing -1.25638923 65720 0.001521607 0.6294096329
## 20 missing 0.28097671 65720 0.060864273 0.5014895962
## 21 missing 0.54603980 65720 0.943396226 0.3694146506
## 24 missing 1.39424170 65720 0.185636032 0.5814858642
## 26 missing 1.23520384 65720 0.427571516 0.0022677078
## 28 missing 0.91712813 48484 2.838049666 0.6374043953
## 30 missing -0.83228828 48484 0.000000000 0.9784344041
## 32 employed -0.51421257 48484 1.134394852 0.7644437365
## 33 missing -0.35517472 48484 0.000000000 0.4410670856
## 35 employed -0.30216210 48484 1.897533207 0.8214495073
## 36 missing -0.72626305 48484 0.000000000 0.2685702622
## 38 employed -1.09735138 48484 0.297005198 0.8590834360
## 39 employed 0.65206504 48484 0.325880703 0.2423167466
## 40 missing -1.52145232 39832 0.040168709 0.2802194122
## 41 employed -0.93831352 39832 0.451897971 0.8676764872
## 42 missing -1.09735138 39832 0.000000000 0.5381559990
## 45 not employed 0.65206504 39832 0.241012251 0.5492917120
## 47 employed 4.17218798 39832 5.021088572 0.7006910578
## 48 missing 0.91712813 39832 0.361518377 0.0981012888
## 49 missing -1.41542709 39832 0.000000000 0.3434311454
## 50 missing 0.65206504 39832 0.680357502 0.4162115850
## 51 employed -0.09011162 39832 3.780879695 0.8420993527
## 54 missing -0.77927566 39832 0.502108857 0.7223578128
## 56 employed -0.14312424 39832 3.765816429 0.7974400583
## 57 missing 0.38700194 39832 0.000000000 0.0843284475
## 58 missing 1.55327955 39832 1.425989154 0.3011925276
## 59 employed 0.54603980 39832 1.882908215 0.7073716952
## 64 missing 0.86411551 39832 0.936433019 0.4098448178
## 65 employed -0.72626305 39832 1.506326572 0.1307442491
## 66 missing 1.39424170 39832 0.394155453 0.3587845243
## 69 missing 0.86411551 39832 0.471982326 0.9781877515
## 70 missing 1.65930479 39832 0.188290821 0.4580020318
## 71 employed 0.28097671 39832 2.392548705 0.9636490599
## 73 employed -1.20337661 39832 0.251054429 0.3680833492
## 75 employed -0.46119995 39832 0.803374172 0.3618644271
## 76 missing 0.65206504 39832 0.552319743 0.4189670896
## 78 employed 0.44001456 39832 1.757381000 0.6449134822
## 79 employed -0.24914948 39832 0.753163286 0.6216427723
## 80 missing -1.20337661 39832 0.552319743 0.7181424112
## 82 employed 0.01591361 39832 1.958224543 0.5302162839
## 83 missing 1.18219122 39832 0.256075517 0.1419499179
## 84 missing 0.22796409 39832 0.158164290 0.9819409784
## 85 employed -0.62023781 39832 4.518979715 0.7816139304
## 86 missing 0.38700194 39832 0.341434023 0.3012091361
## 91 missing 1.34122908 39832 0.429303073 0.5971254057
## 94 missing -1.20337661 39832 0.000000000 0.0275704660
## 97 missing 1.92436788 39832 1.089576220 0.5533288410
## 98 missing 1.55327955 39832 1.292930307 0.0057085676
## 99 missing 0.49302718 39832 0.000000000 0.5066846989
## 100 missing 1.39424170 39832 0.728057843 0.2382710639
## 103 employed -0.88530090 39832 1.230166700 0.8197386879
## 104 missing 1.65930479 39832 0.035147620 0.9640868187
## 112 missing 1.76533003 39832 1.506326572 0.8366260193
## 115 missing 0.33398933 39832 0.000000000 0.4726575080
## 116 employed 0.22796409 39832 0.803374172 0.8530428789
## 118 missing -0.67325043 39832 0.000000000 0.3498256900
## 119 missing 0.75809027 39832 0.313818036 0.9630357136
## 120 not employed 0.33398933 39832 0.903795943 0.5740607926
## 124 missing 1.07616599 39832 0.243522796 0.3114870714
## 125 missing 1.97738050 39832 0.790821450 0.6125905642
## 126 missing 1.18219122 39832 1.159871460 0.6107871272
## 127 missing 2.18943098 39832 0.612572806 0.5247079569
## 129 employed -0.24914948 39832 1.127234384 0.2598263395
## 130 missing 1.12917860 39832 0.908817032 0.4075772904
## 131 missing 1.23520384 39832 0.670315324 0.2420511749
## 132 employed 0.59905242 39832 2.138983732 0.3558566512
## 134 not employed -0.88530090 39832 0.000000000 0.4315114280
## 138 missing -1.36241447 39832 0.000000000 0.0188914468
## 139 missing 1.07616599 39832 0.482024503 0.5302515514
## 140 missing 1.23520384 39832 1.733279775 0.8318352462
## 142 missing -0.09011162 39832 0.000000000 0.4704896363
## 144 missing 1.07616599 39832 1.576621812 0.4131242405
## 147 missing 0.91712813 39832 1.644406507 0.0677385370
## 149 employed -0.56722519 39832 1.280377586 0.6962331966
## 150 missing 0.91712813 39832 1.307993573 0.3088517215
## 152 missing 0.97014075 39832 0.271138783 0.2413335138
## 153 missing 1.65930479 39832 0.635167704 0.4642970515
## 154 missing 0.01591361 59209 0.000000000 0.4255144726
## 156 employed -0.99132614 59209 1.283588644 0.8840696700
## 157 employed -0.03709900 59209 0.337786485 0.4977684892
## 158 employed -0.72626305 59209 0.675572970 0.5793158785
## 160 missing -0.93831352 59209 0.000000000 0.0032594237
## 164 employed -0.56722519 61154 0.297609314 0.2783766191
## 165 missing 1.71231741 61154 0.235471106 0.9551439069
## 166 employed -1.68049018 61154 0.176603329 0.5471227884
## 168 missing 1.76533003 61154 0.156980737 0.9196630071
## 169 employed 0.33398933 61154 0.245282402 0.9787717995
## 170 employed -1.46843970 61154 1.275468489 0.0421378156
## 171 missing -0.56722519 61154 0.000000000 0.4201550062
## 172 missing 0.86411551 61154 0.001635216 0.1708119770
## 173 employed 0.17495147 61154 1.548549563 0.6104090603
## 174 missing 0.91712813 61154 0.490564804 0.9185202036
## 176 employed -0.83228828 61154 0.261634562 0.2299577261
## 178 employed -0.67325043 61154 0.032704320 0.3931530623
## 179 missing 0.65206504 61154 0.652451189 0.0250126312
## 180 missing 1.71231741 61154 0.273081074 0.0288315336
## 181 not employed 0.59905242 61154 0.359747523 0.5726691051
## 184 missing 0.38700194 67784 0.014752744 0.7219086508
## 187 missing 2.18943098 56895 0.100184550 0.2135260243
## 189 employed -0.14312424 56895 0.696018982 0.7257781334
## 190 missing 1.92436788 56895 0.513226118 0.2791210692
## 193 missing 0.59905242 56895 1.455312418 0.9125627980
## 194 missing -1.25638923 56895 0.005097109 0.5075168919
## 195 employed 0.65206504 56895 1.318217770 0.5679060919
## 196 employed -1.62747756 56895 0.210914843 0.9603733192
## 197 employed -0.83228828 56895 0.949116794 0.3228509803
## 198 employed -1.62747756 56895 0.281219791 0.6578329122
## 200 missing -0.14312424 56895 0.000000000 0.9615481426
## 201 employed -0.67325043 56895 1.581861323 0.4663737537
## 202 not employed -1.20337661 56895 0.337463749 0.3738092433
## 204 missing -1.04433876 56895 0.000000000 0.6836844073
## 205 missing 0.65206504 56895 0.790930662 0.6371248357
## 206 missing -0.40818733 56895 0.128306530 0.4005226982
## 208 missing 1.28821646 56895 0.179277617 0.0443093439
## 209 missing 0.91712813 56895 1.154758766 0.1275371981
## 213 missing 2.18943098 56895 0.052728711 0.4159017371
## 214 employed 0.12193885 56895 0.456982160 0.7161971366
## 215 missing 0.81110289 56895 0.398980578 0.5949838853
## 216 not employed -0.56722519 56895 0.671412251 0.3597586001
## 218 missing -0.19613686 47353 0.000000000 0.4984486736
## 219 employed -0.77927566 47353 0.135155112 0.1633631112
## 222 employed -1.68049018 47353 0.168943890 0.5215930170
## 223 missing 1.76533003 47353 0.228496611 0.9002385077
## 226 missing -1.36241447 47353 0.152049501 0.1232040969
## 227 missing 0.70507766 47353 0.270331341 0.8006525163
## 229 missing 1.65930479 47353 0.527949655 0.5450626113
## 230 missing 1.23520384 47353 1.799252423 0.7470637618
## 232 missing 1.92436788 47353 1.131924060 0.3121720969
## 233 missing 1.28821646 47353 0.213291661 0.0163752218
## 237 not employed -0.99132614 47353 0.422359724 0.9937640859
## 238 employed 5.03515876 47353 0.844719448 0.1823779368
## 241 missing 0.91712813 47353 0.823601461 0.2807097707
## 242 missing -0.51421257 47353 0.348446772 0.9185908241
## 244 employed -0.56722519 46867 3.669959673 0.5934341436
## 247 missing 1.65930479 61308 0.309258172 0.1878050503
## 248 missing -0.14312424 49293 0.229241474 0.5246202750
## 250 employed 0.54603980 49293 0.647150711 0.3605887943
## 251 missing 1.81834265 49293 0.383421581 0.7736204995
## 252 employed -0.99132614 49293 2.231757045 0.6966617724
## 253 missing 1.97738050 49293 0.180553020 0.9411152385
## 254 employed -1.04433876 49293 0.486884548 0.8948677694
## 256 employed -0.51421257 49293 1.257785081 0.7747438971
## 262 employed -0.83228828 49293 3.651634106 0.4488297906
## 265 employed -0.88530090 49293 1.095490232 0.4845068047
## 267 missing 0.70507766 49293 0.158237478 0.5224913980
## 270 employed -0.72626305 49293 0.486884548 0.1359979014
## 271 employed -0.56722519 49293 0.405737123 0.0331510610
## 272 employed -0.46119995 49293 0.912908527 0.7565420351
## 273 not employed -0.19613686 49293 0.446310835 0.4312522998
## 274 employed -0.99132614 49293 0.791187390 0.8982751695
## 275 employed -0.40818733 49293 1.136063944 0.2416415389
## 276 missing 1.71231741 49293 1.318645649 0.7114758804
## 278 employed -1.36241447 49293 0.533544317 0.1576402518
## 279 employed -0.56722519 49293 3.884932952 0.1756404103
## 280 missing 1.65930479 49293 0.162294849 0.5207527583
## 281 employed -1.09735138 49293 1.825817053 0.6476041840
## 282 employed 0.81110289 49293 0.085813401 0.4339972949
## 284 missing -2.74074255 49293 0.860162701 0.2968416761
## 285 missing -1.41542709 49293 0.000000000 0.6901051942
## 286 missing 1.44725432 49293 0.501085347 0.5209154198
## 291 missing 1.50026693 49293 0.253585702 0.0061315065
## 292 missing 1.28821646 49293 0.320532327 0.0389921556
## 296 missing 1.02315337 49293 0.204897247 0.3927391386
## 297 employed 0.38700194 49293 0.304302842 0.5743613129
## 300 missing -0.35517472 55534 0.142255195 0.8557512918
## 303 missing 0.38700194 55534 0.000000000 0.4397514639
## 305 missing -0.83228828 55534 0.000000000 0.9769870818
## 307 employed 0.86411551 55534 0.970576584 0.0772365776
## 308 employed 0.17495147 55534 3.097201714 0.0096395451
## 310 employed 0.17495147 55534 0.720279468 0.7844702934
## 311 employed 0.22796409 55534 1.800698671 0.7539986991
## 312 missing 0.54603980 55534 0.518601217 0.6595349603
## 313 employed -0.51421257 55534 1.224475096 0.8371869936
## 314 not employed -1.25638923 55534 0.478985847 0.7319098215
## 320 missing 1.97738050 55534 0.342132748 0.6144936902
## 321 missing 1.39424170 55534 0.226888033 0.4996189226
## 327 employed 0.38700194 47526 2.531246055 0.2457944760
## 328 missing -1.36241447 47526 0.000000000 0.6814023897
## 330 missing 0.97014075 47526 0.410301730 0.5488294312
## 331 employed -0.83228828 47526 0.673315659 0.1267617880
## 332 missing 1.12917860 47526 0.000000000 0.3400872368
## 334 employed -0.67325043 47526 0.845852796 0.4893651996
## 336 missing 0.06892623 52781 0.000000000 0.7102930304
## 337 employed -0.67325043 52781 0.113677270 0.0754588649
## 339 not employed -0.88530090 52781 0.757848468 0.6556801524
## 343 missing 1.60629217 48451 0.392148769 0.1007985494
## 345 employed -0.24914948 48451 1.444758622 0.8579482550
## 347 missing 0.22796409 48451 0.076365813 0.7273165332
## 352 employed 0.01591361 48451 1.031970444 0.9781732205
## 353 missing -1.57446494 48451 0.082557636 0.0851031509
## 354 missing 0.97014075 48451 1.952488081 0.9676798277
## 355 employed -0.99132614 43860 0.782033744 0.4556495287
## 357 employed -0.03709900 43860 8.846329229 0.6285500985
## 358 employed -0.46119995 43860 0.962608299 0.4852155629
## 361 employed -0.35517472 43860 1.185590515 0.0778283344
## 362 missing -0.93831352 43860 0.237118103 0.6311028893
## 364 missing 1.50026693 43860 0.136798906 0.4444445455
## 367 missing -0.72626305 43860 1.139990880 0.5168892944
## 368 missing 0.49302718 43860 0.766073871 0.1596000292
## 369 missing -0.35517472 43860 0.005699954 0.0760463765
## 371 missing -0.93831352 43860 0.000000000 0.2101706858
## 372 missing -1.52145232 44484 0.000000000 0.9108475237
## 373 missing 1.18219122 44484 1.270119594 0.8094628151
## 374 employed -0.77927566 44484 0.809279741 0.9941215399
## 376 missing 0.28097671 44484 0.000000000 0.4059641066
## 378 employed -0.72626305 44484 1.348799568 0.6321498982
## 379 employed -0.77927566 44484 1.461199532 0.0229021686
## 380 missing 1.97738050 44484 0.121391961 0.2331031305
## 381 not employed 0.86411551 44484 0.611455804 0.0883820232
## 382 missing 1.28821646 49572 0.967279916 0.4343756668
## 384 missing -1.09735138 49572 0.000000000 0.8017665048
## 386 missing 0.86411551 49572 0.591059469 0.0909767938
## 387 missing -0.24914948 49572 5.426450416 0.1046915497
## 388 employed -0.56722519 49572 2.420721375 0.2028287610
## 391 employed -0.30216210 49572 0.675784717 0.1534460289
## 393 employed -0.72626305 49572 1.048979262 0.1140165802
## 394 employed -0.35517472 49572 0.161381425 0.2578078804
## 396 employed -0.14312424 49572 0.706043734 0.3225266892
## 397 employed -0.19613686 66928 0.821793569 0.1155663263
## 398 employed -0.09011162 66928 0.657422902 0.0516261291
## 399 employed 0.44001456 66928 0.896485776 0.5523763937
## 400 missing 1.65930479 66928 0.792045183 0.0347844332
## 401 missing 1.07616599 66928 0.612598613 0.7642449306
## 404 missing -1.36241447 66928 0.044824289 0.3710333614
## 406 employed 1.71231741 66928 0.167344011 0.1193301363
## 407 not employed 0.17495147 66928 0.074707148 0.5744109151
## 408 missing 1.18219122 66928 0.406406885 0.2995058713
## 409 employed 0.75809027 66928 2.138118575 0.7334946068
## 410 missing 0.91712813 66928 0.358594310 0.3181575025
## 411 not employed 0.49302718 66928 0.179297155 0.4394399170
## 412 missing 0.75809027 66928 0.972687067 0.8057840960
## 413 missing 1.28821646 66928 3.745816400 0.2283863919
## 414 missing 1.76533003 66928 0.333193880 0.1178895626
## 418 missing 0.97014075 66928 0.402073870 0.6730802828
## 419 missing 1.81834265 66928 0.031377002 0.7681026985
## 420 missing 0.44001456 66928 0.014941430 0.2114410091
## 421 missing 0.12193885 66928 0.000000000 0.0477657143
## 422 missing 1.12917860 66928 3.765240258 0.9988349634
## 423 employed 0.28097671 66928 0.642481473 0.6750628380
## 424 missing 2.18943098 66928 0.841202486 0.4576472263
## 426 employed -0.77927566 66928 0.605127899 0.6662155134
## 427 employed -1.78651542 62634 0.001277262 0.0572959001
## 428 employed -0.88530090 62634 0.973911933 0.9837585292
## 430 missing 3.78304450 62634 0.191589233 0.3853598714
## 431 not employed -0.09011162 62634 0.038317847 0.0515295221
## 433 missing 0.33398933 62634 0.162850848 0.7578665642
## 434 employed 0.59905242 62634 0.336877734 0.8275936914
## 435 missing 0.81110289 62634 3.720024268 0.1239147766
## 437 missing 1.34122908 62634 0.022352077 0.5532683292
## 438 missing -1.25638923 62634 0.000000000 0.7147098524
## 439 employed -0.30216210 62634 0.478973082 0.3491387034
## 440 missing 0.65206504 62634 2.885078392 0.5184357031
## 442 employed 0.70507766 62634 1.200625858 0.6525695166
## 446 missing 1.23520384 62634 2.035635597 0.4055885386
## 447 missing 0.65206504 62634 0.210748156 0.2618352408
## 448 employed -0.14312424 62634 0.638630776 0.5229709381
## 449 employed -0.88530090 62634 1.660440017 0.1596166410
## 450 missing 2.18943098 62634 0.464603889 0.1361317586
## 454 missing 0.86411551 62634 0.000000000 0.9832194645
## 455 employed 0.12193885 62634 0.957946163 0.6551601554
## 456 missing -0.46119995 62634 0.574767698 0.9282783484
## 457 missing 1.60629217 62634 0.557205352 0.0455716045
## 458 missing 1.97738050 62634 0.087811732 0.2545385130
## 461 employed -0.19613686 62634 0.638630776 0.7630635616
## 464 missing 0.33398933 62634 1.159114858 0.8339062289
## 465 employed 0.81110289 62634 0.470990197 0.0002280956
## 469 missing 0.70507766 62634 0.242679695 0.9886578140
## 470 employed -1.20337661 50118 1.356797957 0.6745894107
## 472 missing -0.56722519 50118 0.000000000 0.1198708613
## 474 employed -0.30216210 50118 1.386727324 0.8675665611
## 475 missing 1.18219122 50118 0.828045812 0.4279350941
## 476 missing 1.71231741 50118 0.289317211 0.9494291185
## 478 missing -0.40818733 50118 0.000000000 0.1186114580
## 482 employed 0.49302718 50118 1.610199928 0.5837793108
## 483 not employed 3.87762244 50118 3.495750030 0.7827888262
## 484 missing 0.49302718 50118 0.937786823 0.3086295251
## 486 missing -1.78651542 50118 0.000000000 0.4952462756
## 489 missing 1.81834265 58094 0.172134816 0.4940112347
## 493 missing -1.46843970 58094 0.020656178 0.6574009103
## 494 employed -0.40818733 58094 0.371811203 0.6545538255
## 497 missing -0.35517472 58094 0.046132131 0.6730171605
## 498 employed 0.01591361 58094 2.065617792 0.1913646194
## 499 missing -1.41542709 58094 0.000000000 0.5406721039
## 501 employed 0.01591361 58094 1.993321169 0.4191285502
## 502 missing 1.55327955 58094 1.204943712 0.6831631502
## 503 missing 0.81110289 58094 1.069473612 0.8338959052
## 504 employed -0.14312424 37427 0.507654902 0.6085857658
## 510 missing 0.97014075 37427 1.838245117 0.7618276500
## 512 missing 1.55327955 37427 6.639591739 0.0255443016
## 513 missing -0.40818733 37427 0.000000000 0.5405482198
## 515 missing -1.62747756 37427 0.000000000 0.6985131651
## 517 missing 0.97014075 37427 1.255777914 0.6817692313
## 519 missing 1.71231741 37427 0.256499319 0.7123906268
## 520 employed -0.30216210 37427 1.603120742 0.5255872442
## 521 missing 0.12193885 37427 0.411467657 0.5712898113
## 522 employed 0.01591361 37427 0.480936223 0.4523144464
## 524 employed -0.62023781 37427 0.534373581 0.4708266244
## 525 missing -0.35517472 37427 0.000000000 0.9886202591
## 528 missing -0.03709900 49615 0.201551950 0.1845358028
## 530 not employed 1.81834265 43607 1.181003050 0.4411498213
## 531 missing 1.39424170 43607 0.465521591 0.5826867830
## 534 missing 0.81110289 43607 1.833421240 0.2146435711
## 536 employed -0.09011162 52498 0.857175511 0.5055806451
## 539 missing 1.23520384 52498 0.521924645 0.5704675496
## 542 employed -0.67325043 55559 1.439910726 0.4895792573
## 545 employed -0.83228828 55559 0.539966522 0.7411163140
## 546 missing 1.71231741 55559 0.208787055 0.4281345266
## 549 not employed 0.28097671 68187 0.000000000 0.2821825542
## 550 employed -1.36241447 68187 0.527959875 0.8676493107
## 551 employed -1.62747756 68187 0.217050171 0.7048857308
## 553 missing 0.65206504 68187 1.450423101 0.5496926305
## 556 employed 0.86411551 68187 5.864754279 0.9663459850
## 558 missing -0.77927566 68187 0.000000000 0.7228602916
## 559 employed 0.33398933 68187 1.173244167 0.2510581980
## 560 missing 1.65930479 68187 0.451699004 0.6177389158
## 561 employed -0.24914948 68187 0.659949844 0.1692069927
## 564 missing 1.55327955 68187 0.181852846 0.3472666265
## 566 missing 1.12917860 68187 1.371229120 0.5239389215
## 567 missing 0.44001456 68187 0.140789300 0.4500709383
## 569 employed 0.33398933 68187 1.319899688 0.0129569401
## 570 employed 0.44001456 68187 2.067842844 0.1246244041
## 571 employed -0.30216210 68187 0.923929781 0.3543428378
## 573 missing 1.44725432 68187 0.344640474 0.8963371560
## 576 employed 0.65206504 68187 0.133456524 0.1169663474
## 577 employed -1.30940185 68187 0.586622083 0.2812206999
## 578 missing 0.01591361 68187 0.526053353 0.8921887812
## 583 employed -0.19613686 68187 0.703946500 0.2792701856
## 587 missing 1.92436788 68071 0.624348107 0.8569680878
## 588 missing 1.60629217 68071 0.133683948 0.0017031413
## 589 missing 1.12917860 68071 0.901999383 0.9888106438
## 590 missing 0.81110289 68071 0.333475342 0.3309783365
## 592 employed -1.25638923 44819 0.669358977 0.9378990226
## 595 employed -1.25638923 44819 1.383341886 0.0960258527
## 597 not employed -0.72626305 44819 0.000000000 0.8734676812
## 598 missing 0.97014075 44819 0.477476070 0.5611615633
## 600 missing 1.76533003 44819 0.816617952 0.9344913508
## 602 missing -0.35517472 44819 0.000000000 0.9622078163
## 606 missing -0.30216210 44819 0.000000000 0.3861742262
## 607 missing 0.97014075 44819 0.557799148 0.3116059802
## 611 missing -1.20337661 44819 0.000000000 0.6849986524
## 612 missing 1.50026693 44819 1.287400433 0.4299063876
## 613 missing 1.39424170 44819 0.526562395 0.0539252786
## 614 missing 0.17495147 44819 0.553336755 0.7003425534
## 616 missing 1.39424170 44819 0.281130770 0.2921075455
## 617 employed -0.24914948 44819 2.454316250 0.9602137795
## 618 missing 0.12193885 44819 0.256587608 0.0770828712
## 621 employed -1.20337661 44819 0.859010687 0.0230828624
## 624 missing 0.65206504 44819 0.678283764 0.3701359897
## 626 missing 0.17495147 44819 0.000000000 0.3988145862
## 628 missing -0.62023781 44819 0.580111114 0.8760889857
## 629 missing -0.93831352 44819 0.000000000 0.8199891059
## 631 missing 2.18943098 44819 0.267743591 0.2425465044
## 632 employed -0.67325043 44819 0.943796158 0.4561735515
## 633 missing 0.70507766 44819 0.738526072 0.5754684974
## 637 missing 0.59905242 44819 0.240969232 0.5011606268
## 639 missing 1.02315337 44819 0.423927352 0.1120955721
## 640 missing 1.07616599 44819 0.240969232 0.8764254965
## 646 missing 0.17495147 44819 0.000000000 0.2153674948
## 647 employed 0.12193885 44819 1.070974364 0.5855733086
## 648 employed 0.65206504 44819 1.294094023 0.7899286463
## 649 employed 0.70507766 44819 0.534371583 0.7720732726
## 651 employed -1.09735138 44819 1.784957273 0.0465468669
## 653 missing 0.81110289 44819 1.048662398 0.2683095315
## 654 employed 0.33398933 44819 1.673397443 0.2883536944
## 655 employed 0.06892623 44819 0.044623932 0.9751528737
## 656 missing 1.81834265 44819 1.207077356 0.3835721177
## 657 employed -2.74074255 44819 2.542448515 0.9885371902
## 664 not employed -1.30940185 44819 0.095941453 0.3481915009
## 666 missing -0.83228828 44819 0.133871795 0.3759228317
## 667 employed 0.54603980 44819 1.829581204 0.9463924784
## 668 missing 1.97738050 44819 0.352529061 0.0819024919
## 669 missing 0.28097671 44819 0.133871795 0.4954442121
## 670 employed 1.07616599 44819 0.508712823 0.2714468839
## 671 missing 0.65206504 44819 1.078337312 0.8307479713
## 672 missing 0.33398933 44819 0.278899574 0.3980183762
## 674 missing -0.77927566 44819 0.000000000 0.6229583526
## 679 missing 2.18943098 44819 0.225350856 0.3355837262
## 680 employed 0.17495147 44819 2.231196591 0.0447478339
## 681 missing 0.28097671 44819 0.000000000 0.4248699336
## 682 missing 3.26755959 44819 5.689551306 0.2617408875
## 683 employed -0.03709900 44819 2.498940182 0.0670875364
## 684 missing 1.55327955 44819 0.446239318 0.3104540755
## 687 missing -0.62023781 52683 0.000000000 0.1484554287
## 690 missing 1.81834265 52683 0.182221969 0.9361758421
## 691 missing 1.07616599 52683 0.594119545 0.9427085358
## 693 missing -0.67325043 52683 0.000000000 0.3589521309
## 694 missing 0.33398933 52683 0.284721827 0.9801551886
## 695 missing -1.09735138 52683 0.000000000 0.2715805534
## 697 missing 0.22796409 52683 0.341476378 0.1177393482
## 699 missing 1.34122908 52683 0.364443938 0.5788290023
## 701 missing 0.44001456 52683 0.000000000 0.9519815133
## 702 missing 0.17495147 52683 0.075925820 0.3285678930
## 706 missing 1.28821646 52683 0.398610557 0.1329354052
## 709 not employed -0.09011162 52683 0.645749103 0.5410609304
## 710 missing 0.59905242 44393 0.601446174 0.4379741666
## 711 employed -0.99132614 44393 2.252607393 0.6860007290
## 712 employed 0.33398933 44393 4.325006195 0.7284767367
## 713 missing -0.40818733 52176 0.279822140 0.6429800587
## 714 missing -0.14312424 52176 0.008432996 0.9480860359
## 716 employed -0.51421257 52176 0.613308801 0.3292734595
## 717 employed 0.75809027 52176 0.939129102 0.6314105426
## 720 missing 1.34122908 52176 0.513646121 0.7720173250
## 721 employed 0.06892623 52176 0.670806501 0.2471663856
## 722 employed 0.12193885 52176 1.667433303 0.5451355027
## 723 employed -0.19613686 52176 1.916590003 0.3974995604
## 724 missing 1.65930479 52176 4.618981907 0.8327647806
## 725 missing 0.91712813 52176 0.275988960 0.0255416839
## 726 missing 1.18219122 52176 0.348819381 0.4444409723
## 727 employed -1.57446494 52176 0.747470101 0.4482203440
## 731 missing -0.35517472 52176 0.000000000 0.1473004031
## 732 missing -0.35517472 52176 0.927629561 0.5980115493
## 733 missing 0.86411551 52176 1.015792702 0.6722774843
## 734 missing -1.73350280 52176 0.344986201 0.6416454003
## 736 missing -1.25638923 52176 0.684222631 0.5887942151
## 739 employed -0.03709900 52176 0.536645201 0.9411407709
## 740 employed 0.22796409 52176 1.149954002 0.8058788630
## 742 employed -1.73350280 52176 0.203158540 0.7929930675
## 746 employed 0.59905242 52176 0.193575590 0.8309396710
## 747 missing 0.70507766 52176 0.306654400 0.8464187977
## 751 employed -0.99132614 52176 3.104875805 0.8919205538
## 754 employed -1.25638923 52176 0.038331800 0.9263673709
## 756 missing -0.40818733 52176 0.201241950 0.3033061812
## 757 missing 2.18943098 52176 0.398650721 0.4062577833
## 758 missing 0.54603980 52176 1.427859552 0.1110404609
## 759 missing -0.40818733 52176 0.000000000 0.7317733711
## 760 employed -1.20337661 52176 0.331570071 0.0437199166
## 761 missing 1.39424170 52176 0.252989880 0.5308078025
## 764 missing 0.97014075 52176 0.785801901 0.4638109521
## 765 missing -1.62747756 52176 0.000000000 0.0788698685
## 766 missing -0.51421257 52176 0.000000000 0.7645850435
## 769 employed 0.54603980 52176 0.766636001 0.1919221694
## 771 missing 1.12917860 52176 0.183992640 0.1607132938
## 774 employed 0.65206504 48567 0.864784730 0.5691724555
## 776 employed -0.62023781 48567 2.264912389 0.1291375186
## 777 missing 2.18943098 48567 0.300615644 0.3828825299
## 778 missing 1.18219122 48567 0.391212140 0.5953564630
## 779 not employed 0.06892623 48137 0.556744292 0.8147270845
## 780 missing 1.65930479 48137 0.457028897 0.3910748810
## 781 missing 1.34122908 48137 0.465338513 0.5281894642
## 787 missing -0.56722519 52758 0.000000000 0.7986085305
## 792 missing -0.03709900 52758 0.000000000 0.1047234659
## 793 missing -0.40818733 52758 0.178172031 0.1230551049
## 796 missing 1.28821646 52758 0.371507639 0.8094863393
## 797 missing -0.46119995 52758 0.151635771 0.1901390622
## 800 missing 0.12193885 52758 0.390462110 0.4709796172
## 802 not employed 1.34122908 52758 0.183858372 0.3338015652
## 805 missing -0.62023781 52758 0.208499185 0.8313942261
## 807 employed 0.86411551 52758 1.717275105 0.3779519999
## 808 missing -1.52145232 52758 0.000000000 0.7150645223
## 809 employed -0.46119995 52758 0.568634141 0.7305853239
## 810 employed -1.46843970 52758 0.606543084 0.3739473694
## 812 employed -0.03709900 52758 2.274536563 0.6982269795
## 814 missing -0.30216210 52758 0.000000000 0.6018082546
## 818 employed -0.09011162 52758 1.516357709 0.5868949303
## 819 employed -0.14312424 52758 0.674779180 0.5736397766
## 820 missing -1.68049018 52758 0.045490731 0.0061841807
## 823 missing 0.70507766 52758 0.511770727 0.6167215763
## 825 missing 1.07616599 52758 0.568634141 0.7973924361
## 828 employed -1.20337661 52758 1.296485841 0.5279635859
## 830 missing 1.92436788 52758 1.789302096 0.9697278354
## 831 employed -0.62023781 52758 0.682360969 0.0287545417
## 832 employed -0.14312424 52758 2.805261761 0.3320721791
## 835 missing 1.39424170 52758 0.197126502 0.2547413176
## 838 employed -0.62023781 52758 1.137268282 0.7023439950
## 839 employed -1.62747756 52758 0.037908943 0.1392998805
## 840 not employed -0.62023781 52758 0.059896129 0.7791925583
## 843 employed -1.30940185 52758 0.852951211 0.8602258877
## 844 missing 0.49302718 52758 0.000000000 0.4735428519
## 845 missing 2.18943098 52758 1.269949581 0.1211042234
## 846 employed -2.74074255 52758 0.909814625 0.1970631646
## 847 missing 1.50026693 52758 1.110732022 0.6487330659
## 848 employed 0.44001456 52758 2.592971682 0.3753898989
## 849 employed -0.40818733 52758 1.137268282 0.6637294185
## 850 missing 0.59905242 52103 0.241828685 0.7490284217
## 851 missing 0.28097671 52103 0.000000000 0.1466969713
## 855 employed -1.41542709 54879 1.703748246 0.9922238186
## 856 employed 0.38700194 54879 3.115945990 0.1621253537
## 858 employed -0.62023781 54879 1.366642978 0.2428267701
## 859 employed -0.67325043 54879 1.184423914 0.4400399770
## 860 employed -1.04433876 54879 1.279177828 0.2771022730
## 861 employed -1.04433876 54879 0.819985787 0.6520188178
## 864 missing 0.17495147 54879 0.000000000 0.9821777246
## 866 missing 1.12917860 54879 0.469214089 0.2198552107
## 869 missing 0.44001456 50977 0.205975244 0.8451809497
## 872 missing 0.86411551 50977 0.260901975 0.6394046939
## 876 employed -0.93831352 50977 2.452086235 0.7963346993
## 877 employed -0.40818733 50977 0.687564980 0.8424561108
## 879 missing 1.71231741 50977 0.105930125 0.8175053967
## 880 missing 0.54603980 50977 0.300135355 0.7214666496
## 884 missing 0.86411551 50977 5.061105989 0.9873482294
## 886 missing 1.18219122 41979 0.719407323 0.4630148213
## 889 employed -0.99132614 41979 2.620357798 0.5874775662
## 890 missing 1.92436788 41979 0.366850092 0.9294224433
## 896 employed 0.59905242 41979 1.417375354 0.4389552921
## 897 employed 0.54603980 41979 1.679506420 0.2350567961
## 900 employed -0.62023781 41979 1.786607590 0.8010547194
## 901 employed -0.51421257 41979 0.228685771 0.5347228341
## 902 missing 1.60629217 41979 2.224921985 0.9791057785
## 903 missing 1.71231741 41979 0.309678649 0.9221225274
## 904 employed -0.62023781 41979 2.858572143 0.5439972312
## 906 employed -0.77927566 41979 0.595535863 0.6544102870
## 907 employed 0.91712813 41979 1.667500417 0.5670251714
## 909 missing 0.70507766 41979 0.952857381 0.1853079267
## 910 missing -0.99132614 41979 0.000000000 0.8456433143
## 911 employed -1.25638923 41979 0.238214345 0.7872896807
## 913 missing -1.30940185 41979 0.000000000 0.6640959799
## 914 employed 0.59905242 41979 2.124871960 0.4504772522
## 915 employed 0.54603980 41979 3.935300984 0.7219208884
## 916 missing 0.65206504 41979 0.295385788 0.1981631059
## 921 missing -0.09011162 41979 0.000000000 0.2351113232
## 922 missing 1.39424170 41979 1.679411134 0.7575710213
## 923 missing 1.76533003 41979 0.000000000 0.1471180143
## 924 missing 1.81834265 41979 1.665118273 0.6483168420
## 925 missing -0.93831352 41979 0.000000000 0.9459107236
## 926 missing 0.28097671 41979 0.247742919 0.0226988790
## 929 not employed -0.62023781 41979 0.271564354 0.9559265405
## 931 employed 0.97014075 41979 0.433550108 0.2859102655
## 933 employed -1.20337661 41979 0.257271493 0.9239491066
## 934 employed -0.09011162 41979 1.667500417 0.1899874702
## 936 employed 0.33398933 49172 0.976165297 0.9605431578
## 937 missing 1.23520384 49172 0.976165297 0.9316513021
## 938 not employed -1.09735138 49172 0.484015293 0.0108201657
## 940 employed 0.17495147 49172 1.565931831 0.6514354337
## 941 missing 1.12917860 63329 0.641096496 0.0676889592
## 944 employed 0.28097671 53914 1.558222354 0.3899685231
## 947 employed -0.30216210 53914 0.649182031 0.9366989743
## 949 not employed 0.44001456 53914 0.296768928 0.1122820443
## 952 missing 1.50026693 53914 0.638053196 0.8900665687
## 953 missing -0.72626305 53914 0.013911044 0.1031650580
## 954 employed -0.56722519 53914 1.669325222 0.9179478071
## 955 missing 0.44001456 53914 0.471120674 0.3380223482
## 956 employed -0.19613686 53914 2.105204585 0.9311157982
## 960 missing 0.17495147 53914 0.000000000 0.0497830072
## 962 missing 1.12917860 53914 1.011611084 0.9343527632
## 963 employed -0.67325043 53914 0.741922321 0.1388200114
## 965 employed -0.19613686 64095 0.374444184 0.0458685185
## 967 missing -0.24914948 64095 0.165379515 0.0816582190
## 969 missing -1.09735138 64095 0.003120368 0.0078687232
## 970 employed 0.38700194 64095 0.577268118 0.5942797819
## 971 missing 1.81834265 64095 0.226226695 0.9132414311
## 972 missing 0.49302718 64095 1.981433809 0.8243161112
## 973 missing 1.76533003 64095 0.149777674 0.3608673853
## 974 missing -1.68049018 64095 0.046805523 0.7422604593
## 977 missing 1.71231741 61241 0.176352444 0.3490284309
## 980 missing 1.12917860 61241 0.182884016 0.9706709352
## 982 missing 0.70507766 41073 0.462590997 0.2774783047
## 983 missing 0.33398933 41073 0.413897207 0.8308432763
## 988 employed 0.54603980 41073 1.270907896 0.4798497772
## 990 missing 0.81110289 41073 0.584325469 0.5652088961
## 994 employed 0.28097671 41073 1.947751564 0.1444786435
## 995 employed -0.14312424 41073 1.460813673 0.0900407739
## 996 missing 1.87135526 41073 0.000000000 0.5553929142
## 997 missing 1.92436788 53605 0.296614122 0.3867771758
## 998 missing 0.91712813 53605 0.598824736 0.0822751354
## 999 employed -0.62023781 53605 0.537263315 0.0078164604
## income.lt.30K age.range Income
## 1 FALSE (25,65] NA
## 2 FALSE (65,Inf] NA
## 3 TRUE (25,65] 4500
## 4 FALSE (25,65] 20000
## 9 TRUE (65,Inf] NA
## 10 TRUE (25,65] 24000
## 11 FALSE (25,65] NA
## 13 TRUE (25,65] 85000
## 17 TRUE (25,65] NA
## 20 TRUE (25,65] NA
## 21 FALSE (25,65] 35000
## 24 TRUE (65,Inf] 80000
## 26 TRUE (65,Inf] 45000
## 28 FALSE (65,Inf] 17500
## 30 TRUE (25,65] NA
## 32 FALSE (25,65] NA
## 33 TRUE (25,65] NA
## 35 FALSE (25,65] NA
## 36 TRUE (25,65] 34300
## 38 TRUE (25,65] NA
## 39 TRUE (25,65] NA
## 40 TRUE [0,25] NA
## 41 TRUE (25,65] NA
## 42 TRUE (25,65] 45050
## 45 TRUE (25,65] NA
## 47 FALSE (65,Inf] NA
## 48 TRUE (65,Inf] 51500
## 49 TRUE [0,25] NA
## 50 TRUE (25,65] NA
## 51 FALSE (25,65] NA
## 54 TRUE (25,65] 19000
## 56 FALSE (25,65] NA
## 57 TRUE (25,65] 78000
## 58 FALSE (65,Inf] 120300
## 59 FALSE (25,65] NA
## 64 FALSE (65,Inf] 30000
## 65 FALSE (25,65] NA
## 66 TRUE (65,Inf] NA
## 69 TRUE (65,Inf] 29800
## 70 TRUE (65,Inf] 21600
## 71 FALSE (25,65] NA
## 73 TRUE (25,65] NA
## 75 FALSE (25,65] NA
## 76 TRUE (25,65] 299000
## 78 FALSE (25,65] NA
## 79 FALSE (25,65] NA
## 80 TRUE (25,65] 38800
## 82 FALSE (25,65] NA
## 83 TRUE (65,Inf] 130000
## 84 TRUE (25,65] 15500
## 85 FALSE (25,65] NA
## 86 TRUE (25,65] 25700
## 91 TRUE (65,Inf] NA
## 94 TRUE (25,65] 221000
## 97 FALSE (65,Inf] NA
## 98 FALSE (65,Inf] NA
## 99 TRUE (25,65] NA
## 100 TRUE (65,Inf] 110000
## 103 FALSE (25,65] NA
## 104 TRUE (65,Inf] 21400
## 112 FALSE (65,Inf] NA
## 115 TRUE (25,65] NA
## 116 FALSE (25,65] NA
## 118 TRUE (25,65] NA
## 119 TRUE (65,Inf] 90000
## 120 FALSE (25,65] NA
## 124 TRUE (65,Inf] NA
## 125 FALSE (65,Inf] NA
## 126 FALSE (65,Inf] NA
## 127 TRUE (65,Inf] 60000
## 129 FALSE (25,65] NA
## 130 FALSE (65,Inf] NA
## 131 TRUE (65,Inf] NA
## 132 FALSE (25,65] NA
## 134 TRUE (25,65] NA
## 138 TRUE (25,65] NA
## 139 TRUE (65,Inf] NA
## 140 FALSE (65,Inf] 0
## 142 TRUE (25,65] 60000
## 144 FALSE (65,Inf] NA
## 147 FALSE (65,Inf] NA
## 149 FALSE (25,65] NA
## 150 FALSE (65,Inf] 40000
## 152 TRUE (65,Inf] NA
## 153 TRUE (65,Inf] 40000
## 154 TRUE (25,65] 69000
## 156 FALSE (25,65] NA
## 157 TRUE (25,65] NA
## 158 FALSE (25,65] NA
## 160 TRUE (25,65] NA
## 164 TRUE (25,65] NA
## 165 TRUE (65,Inf] 47500
## 166 TRUE [0,25] 127000
## 168 TRUE (65,Inf] 10000
## 169 TRUE (25,65] NA
## 170 FALSE [0,25] NA
## 171 TRUE (25,65] 110000
## 172 TRUE (65,Inf] NA
## 173 FALSE (25,65] NA
## 174 FALSE (65,Inf] NA
## 176 TRUE (25,65] NA
## 178 TRUE (25,65] NA
## 179 FALSE (25,65] 96000
## 180 TRUE (65,Inf] 54000
## 181 TRUE (25,65] NA
## 184 TRUE (25,65] NA
## 187 TRUE (65,Inf] 6000
## 189 FALSE (25,65] NA
## 190 TRUE (65,Inf] 90000
## 193 FALSE (25,65] 30000
## 194 TRUE (25,65] 42200
## 195 FALSE (25,65] NA
## 196 TRUE [0,25] NA
## 197 FALSE (25,65] NA
## 198 TRUE [0,25] NA
## 200 TRUE (25,65] NA
## 201 FALSE (25,65] NA
## 202 TRUE (25,65] NA
## 204 TRUE (25,65] 80000
## 205 FALSE (25,65] 31200
## 206 TRUE (25,65] NA
## 208 TRUE (65,Inf] 62400
## 209 FALSE (65,Inf] NA
## 213 TRUE (65,Inf] 60000
## 214 TRUE (25,65] NA
## 215 TRUE (65,Inf] 45000
## 216 FALSE (25,65] NA
## 218 TRUE (25,65] 110450
## 219 TRUE (25,65] NA
## 222 TRUE [0,25] 31000
## 223 TRUE (65,Inf] 1800
## 226 TRUE (25,65] NA
## 227 TRUE (25,65] NA
## 229 TRUE (65,Inf] 56000
## 230 FALSE (65,Inf] 54000
## 232 FALSE (65,Inf] 42200
## 233 TRUE (65,Inf] 40000
## 237 TRUE (25,65] NA
## 238 FALSE (65,Inf] NA
## 241 FALSE (65,Inf] NA
## 242 TRUE (25,65] 200000
## 244 FALSE (25,65] NA
## 247 TRUE (65,Inf] 25000
## 248 TRUE (25,65] 45000
## 250 FALSE (25,65] NA
## 251 TRUE (65,Inf] 177000
## 252 FALSE (25,65] NA
## 253 TRUE (65,Inf] 77000
## 254 TRUE (25,65] NA
## 256 FALSE (25,65] NA
## 262 FALSE (25,65] NA
## 265 FALSE (25,65] NA
## 267 TRUE (25,65] NA
## 270 TRUE (25,65] NA
## 271 TRUE (25,65] NA
## 272 FALSE (25,65] NA
## 273 TRUE (25,65] NA
## 274 FALSE (25,65] NA
## 275 FALSE (25,65] NA
## 276 FALSE (65,Inf] 15000
## 278 TRUE (25,65] NA
## 279 FALSE (25,65] NA
## 280 TRUE (65,Inf] NA
## 281 FALSE (25,65] NA
## 282 TRUE (65,Inf] NA
## 284 FALSE [0,25] NA
## 285 TRUE [0,25] 36400
## 286 TRUE (65,Inf] 60000
## 291 TRUE (65,Inf] NA
## 292 TRUE (65,Inf] 134800
## 296 TRUE (65,Inf] 109170
## 297 TRUE (25,65] NA
## 300 TRUE (25,65] 30000
## 303 TRUE (25,65] 80000
## 305 TRUE (25,65] 24000
## 307 FALSE (65,Inf] NA
## 308 FALSE (25,65] NA
## 310 FALSE (25,65] NA
## 311 FALSE (25,65] NA
## 312 TRUE (25,65] NA
## 313 FALSE (25,65] NA
## 314 TRUE (25,65] NA
## 320 TRUE (65,Inf] NA
## 321 TRUE (65,Inf] NA
## 327 FALSE (25,65] NA
## 328 TRUE (25,65] 170000
## 330 TRUE (65,Inf] 60000
## 331 FALSE (25,65] NA
## 332 TRUE (65,Inf] NA
## 334 FALSE (25,65] NA
## 336 TRUE (25,65] NA
## 337 TRUE (25,65] NA
## 339 FALSE (25,65] NA
## 343 TRUE (65,Inf] 40000
## 345 FALSE (25,65] NA
## 347 TRUE (25,65] 6400
## 352 FALSE (25,65] NA
## 353 TRUE [0,25] NA
## 354 FALSE (65,Inf] NA
## 355 FALSE (25,65] NA
## 357 FALSE (25,65] NA
## 358 FALSE (25,65] NA
## 361 FALSE (25,65] NA
## 362 TRUE (25,65] NA
## 364 TRUE (65,Inf] 90000
## 367 FALSE (25,65] 16000
## 368 FALSE (25,65] 17300
## 369 TRUE (25,65] 26400
## 371 TRUE (25,65] NA
## 372 TRUE [0,25] NA
## 373 FALSE (65,Inf] 30000
## 374 FALSE (25,65] NA
## 376 TRUE (25,65] 48000
## 378 FALSE (25,65] NA
## 379 FALSE (25,65] NA
## 380 TRUE (65,Inf] 148000
## 381 TRUE (65,Inf] NA
## 382 FALSE (65,Inf] 49000
## 384 TRUE (25,65] 42220
## 386 TRUE (65,Inf] NA
## 387 FALSE (25,65] 93300
## 388 FALSE (25,65] NA
## 391 FALSE (25,65] NA
## 393 FALSE (25,65] NA
## 394 TRUE (25,65] 28000
## 396 FALSE (25,65] NA
## 397 FALSE (25,65] NA
## 398 FALSE (25,65] NA
## 399 FALSE (25,65] NA
## 400 FALSE (65,Inf] 0
## 401 FALSE (65,Inf] NA
## 404 TRUE (25,65] 20000
## 406 TRUE (65,Inf] NA
## 407 TRUE (25,65] NA
## 408 TRUE (65,Inf] 100030
## 409 FALSE (65,Inf] NA
## 410 TRUE (65,Inf] 60000
## 411 TRUE (25,65] NA
## 412 FALSE (65,Inf] 15000
## 413 FALSE (65,Inf] 44200
## 414 TRUE (65,Inf] NA
## 418 TRUE (65,Inf] 30000
## 419 TRUE (65,Inf] 28000
## 420 TRUE (25,65] 76600
## 421 TRUE (25,65] 143100
## 422 FALSE (65,Inf] 32000
## 423 FALSE (25,65] NA
## 424 FALSE (65,Inf] 16000
## 426 FALSE (25,65] NA
## 427 TRUE [0,25] 22000
## 428 FALSE (25,65] NA
## 430 TRUE (65,Inf] 105000
## 431 TRUE (25,65] NA
## 433 TRUE (25,65] 39200
## 434 TRUE (25,65] NA
## 435 FALSE (65,Inf] 59500
## 437 TRUE (65,Inf] NA
## 438 TRUE (25,65] 388000
## 439 FALSE (25,65] NA
## 440 FALSE (25,65] 10100
## 442 FALSE (25,65] NA
## 446 FALSE (65,Inf] 120000
## 447 TRUE (25,65] 19000
## 448 FALSE (25,65] NA
## 449 FALSE (25,65] NA
## 450 TRUE (65,Inf] 150000
## 454 TRUE (65,Inf] 38200
## 455 FALSE (25,65] NA
## 456 FALSE (25,65] 8450
## 457 FALSE (65,Inf] 28000
## 458 TRUE (65,Inf] 17000
## 461 FALSE (25,65] NA
## 464 FALSE (25,65] 70000
## 465 TRUE (65,Inf] NA
## 469 TRUE (25,65] 29000
## 470 FALSE (25,65] NA
## 472 TRUE (25,65] 65000
## 474 FALSE (25,65] NA
## 475 FALSE (65,Inf] 61000
## 476 TRUE (65,Inf] 60000
## 478 TRUE (25,65] NA
## 482 FALSE (25,65] NA
## 483 FALSE (65,Inf] NA
## 484 FALSE (25,65] 63000
## 486 TRUE [0,25] NA
## 489 TRUE (65,Inf] 110010
## 493 TRUE [0,25] 18200
## 494 TRUE (25,65] NA
## 497 TRUE (25,65] 48000
## 498 FALSE (25,65] NA
## 499 TRUE [0,25] 140000
## 501 FALSE (25,65] NA
## 502 FALSE (65,Inf] 30000
## 503 FALSE (65,Inf] 65000
## 504 TRUE (25,65] NA
## 510 FALSE (65,Inf] 56200
## 512 FALSE (65,Inf] 35050
## 513 TRUE (25,65] 16100
## 515 TRUE [0,25] 32000
## 517 FALSE (65,Inf] 100200
## 519 TRUE (65,Inf] 120000
## 520 FALSE (25,65] NA
## 521 TRUE (25,65] 9600
## 522 TRUE (25,65] NA
## 524 TRUE (25,65] NA
## 525 TRUE (25,65] NA
## 528 TRUE (25,65] 23400
## 530 FALSE (65,Inf] NA
## 531 TRUE (65,Inf] 285000
## 534 FALSE (65,Inf] 6300
## 536 FALSE (25,65] NA
## 539 TRUE (65,Inf] 71800
## 542 FALSE (25,65] NA
## 545 FALSE (25,65] NA
## 546 TRUE (65,Inf] 71000
## 549 TRUE (25,65] NA
## 550 FALSE (25,65] 60000
## 551 TRUE [0,25] NA
## 553 FALSE (25,65] 110000
## 556 FALSE (65,Inf] NA
## 558 TRUE (25,65] NA
## 559 FALSE (25,65] NA
## 560 FALSE (65,Inf] NA
## 561 FALSE (25,65] NA
## 564 TRUE (65,Inf] 91500
## 566 FALSE (65,Inf] 36000
## 567 TRUE (25,65] 38000
## 569 FALSE (25,65] NA
## 570 FALSE (25,65] NA
## 571 FALSE (25,65] NA
## 573 TRUE (65,Inf] 165050
## 576 TRUE (25,65] NA
## 577 FALSE (25,65] NA
## 578 FALSE (25,65] NA
## 583 FALSE (25,65] NA
## 587 FALSE (65,Inf] 55001
## 588 TRUE (65,Inf] NA
## 589 FALSE (65,Inf] 54000
## 590 TRUE (65,Inf] 30900
## 592 FALSE (25,65] 10800
## 595 FALSE (25,65] NA
## 597 TRUE (25,65] NA
## 598 TRUE (65,Inf] 72000
## 600 FALSE (65,Inf] 18300
## 602 TRUE (25,65] NA
## 606 TRUE (25,65] 43000
## 607 TRUE (65,Inf] 30
## 611 TRUE (25,65] 120000
## 612 FALSE (65,Inf] 19000
## 613 TRUE (65,Inf] 17000
## 614 TRUE (25,65] 62000
## 616 TRUE (65,Inf] NA
## 617 FALSE (25,65] NA
## 618 TRUE (25,65] 30000
## 621 FALSE (25,65] NA
## 624 FALSE (25,65] 35000
## 626 TRUE (25,65] 175200
## 628 TRUE (25,65] 24000
## 629 TRUE (25,65] 40500
## 631 TRUE (65,Inf] NA
## 632 FALSE (25,65] NA
## 633 FALSE (25,65] 55000
## 637 TRUE (25,65] NA
## 639 TRUE (65,Inf] NA
## 640 TRUE (65,Inf] 22000
## 646 TRUE (25,65] 52000
## 647 FALSE (25,65] NA
## 648 FALSE (25,65] NA
## 649 TRUE (25,65] NA
## 651 FALSE (25,65] NA
## 653 FALSE (65,Inf] NA
## 654 FALSE (25,65] NA
## 655 TRUE (25,65] NA
## 656 FALSE (65,Inf] 29000
## 657 FALSE [0,25] NA
## 664 TRUE (25,65] NA
## 666 TRUE (25,65] 33000
## 667 FALSE (25,65] NA
## 668 TRUE (65,Inf] NA
## 669 TRUE (25,65] 50000
## 670 TRUE (65,Inf] NA
## 671 FALSE (25,65] 28000
## 672 TRUE (25,65] NA
## 674 TRUE (25,65] 385000
## 679 TRUE (65,Inf] 32000
## 680 FALSE (25,65] NA
## 681 TRUE (25,65] 180000
## 682 FALSE (65,Inf] 40000
## 683 FALSE (25,65] NA
## 684 TRUE (65,Inf] 10000
## 687 TRUE (25,65] NA
## 690 TRUE (65,Inf] 4230
## 691 FALSE (65,Inf] NA
## 693 TRUE (25,65] 8000
## 694 TRUE (25,65] 45800
## 695 TRUE (25,65] 45600
## 697 TRUE (25,65] 61000
## 699 TRUE (65,Inf] 32000
## 701 TRUE (25,65] NA
## 702 TRUE (25,65] NA
## 706 TRUE (65,Inf] 120350
## 709 FALSE (25,65] NA
## 710 TRUE (25,65] NA
## 711 FALSE (25,65] NA
## 712 FALSE (25,65] NA
## 713 TRUE (25,65] 80000
## 714 TRUE (25,65] NA
## 716 FALSE (25,65] NA
## 717 FALSE (65,Inf] NA
## 720 TRUE (65,Inf] 55000
## 721 FALSE (25,65] NA
## 722 FALSE (25,65] NA
## 723 FALSE (25,65] NA
## 724 FALSE (65,Inf] 38000
## 725 TRUE (65,Inf] 14800
## 726 TRUE (65,Inf] NA
## 727 FALSE [0,25] NA
## 731 TRUE (25,65] 11200
## 732 FALSE (25,65] 259300
## 733 FALSE (65,Inf] 45100
## 734 TRUE [0,25] 7190
## 736 FALSE (25,65] 22800
## 739 TRUE (25,65] NA
## 740 FALSE (25,65] NA
## 742 TRUE [0,25] NA
## 746 TRUE (25,65] NA
## 747 TRUE (25,65] 285500
## 751 FALSE (25,65] NA
## 754 TRUE (25,65] NA
## 756 TRUE (25,65] 96000
## 757 TRUE (65,Inf] 100000
## 758 FALSE (25,65] 135070
## 759 TRUE (25,65] NA
## 760 TRUE (25,65] NA
## 761 TRUE (65,Inf] NA
## 764 FALSE (65,Inf] 45000
## 765 TRUE [0,25] 26600
## 766 TRUE (25,65] 52500
## 769 FALSE (25,65] NA
## 771 TRUE (65,Inf] 135000
## 774 FALSE (25,65] NA
## 776 FALSE (25,65] NA
## 777 TRUE (65,Inf] 12000
## 778 TRUE (65,Inf] 28000
## 779 TRUE (25,65] NA
## 780 TRUE (65,Inf] 99000
## 781 TRUE (65,Inf] 180000
## 787 TRUE (25,65] 26800
## 792 TRUE (25,65] 12000
## 793 TRUE (25,65] 3400
## 796 TRUE (65,Inf] NA
## 797 TRUE (25,65] 21600
## 800 TRUE (25,65] NA
## 802 TRUE (65,Inf] NA
## 805 TRUE (25,65] 80000
## 807 FALSE (65,Inf] NA
## 808 TRUE [0,25] 75000
## 809 FALSE (25,65] NA
## 810 FALSE [0,25] NA
## 812 FALSE (25,65] NA
## 814 TRUE (25,65] 28000
## 818 FALSE (25,65] NA
## 819 FALSE (25,65] NA
## 820 TRUE [0,25] 37000
## 823 TRUE (25,65] NA
## 825 FALSE (65,Inf] 41000
## 828 FALSE (25,65] NA
## 830 FALSE (65,Inf] 9000
## 831 FALSE (25,65] NA
## 832 FALSE (25,65] NA
## 835 TRUE (65,Inf] 115800
## 838 FALSE (25,65] NA
## 839 TRUE [0,25] NA
## 840 TRUE (25,65] NA
## 843 FALSE (25,65] NA
## 844 TRUE (25,65] 18000
## 845 FALSE (65,Inf] NA
## 846 FALSE [0,25] NA
## 847 FALSE (65,Inf] 48000
## 848 FALSE (25,65] NA
## 849 FALSE (25,65] NA
## 850 TRUE (25,65] 328000
## 851 TRUE (25,65] 60000
## 855 FALSE [0,25] NA
## 856 FALSE (25,65] NA
## 858 FALSE (25,65] NA
## 859 FALSE (25,65] NA
## 860 FALSE (25,65] NA
## 861 FALSE (25,65] NA
## 864 TRUE (25,65] NA
## 866 TRUE (65,Inf] 104000
## 869 TRUE (25,65] 48000
## 872 TRUE (65,Inf] NA
## 876 FALSE (25,65] NA
## 877 FALSE (25,65] NA
## 879 TRUE (65,Inf] 45000
## 880 TRUE (25,65] 104000
## 884 FALSE (65,Inf] 14000
## 886 FALSE (65,Inf] 63000
## 889 FALSE (25,65] NA
## 890 TRUE (65,Inf] 2400
## 896 FALSE (25,65] NA
## 897 FALSE (25,65] NA
## 900 FALSE (25,65] NA
## 901 TRUE (25,65] NA
## 902 FALSE (65,Inf] 68000
## 903 TRUE (65,Inf] 49000
## 904 FALSE (25,65] NA
## 906 TRUE (25,65] NA
## 907 FALSE (65,Inf] NA
## 909 FALSE (25,65] 40000
## 910 TRUE (25,65] 110000
## 911 TRUE (25,65] NA
## 913 TRUE (25,65] NA
## 914 FALSE (25,65] NA
## 915 FALSE (25,65] NA
## 916 TRUE (25,65] NA
## 921 TRUE (25,65] 2000
## 922 FALSE (65,Inf] NA
## 923 TRUE (65,Inf] NA
## 924 FALSE (65,Inf] 165200
## 925 TRUE (25,65] 19200
## 926 TRUE (25,65] 23000
## 929 TRUE (25,65] NA
## 931 TRUE (65,Inf] NA
## 933 TRUE (25,65] NA
## 934 FALSE (25,65] NA
## 936 FALSE (25,65] NA
## 937 FALSE (65,Inf] 4000
## 938 TRUE (25,65] NA
## 940 FALSE (25,65] NA
## 941 FALSE (65,Inf] 22250
## 944 FALSE (25,65] NA
## 947 FALSE (25,65] NA
## 949 TRUE (25,65] NA
## 952 FALSE (65,Inf] NA
## 953 TRUE (25,65] 13000
## 954 FALSE (25,65] NA
## 955 TRUE (25,65] NA
## 956 FALSE (25,65] NA
## 960 TRUE (25,65] NA
## 962 FALSE (65,Inf] NA
## 963 FALSE (25,65] NA
## 965 TRUE (25,65] NA
## 967 TRUE (25,65] NA
## 969 TRUE (25,65] 12000
## 970 FALSE (25,65] NA
## 971 TRUE (65,Inf] NA
## 972 FALSE (25,65] NA
## 973 TRUE (65,Inf] 40000
## 974 TRUE [0,25] 43600
## 977 TRUE (65,Inf] NA
## 980 TRUE (65,Inf] 9100
## 982 TRUE (25,65] 125000
## 983 TRUE (25,65] NA
## 988 FALSE (25,65] NA
## 990 TRUE (65,Inf] 100300
## 994 FALSE (25,65] NA
## 995 FALSE (25,65] NA
## 996 TRUE (65,Inf] 46000
## 997 TRUE (65,Inf] NA
## 998 FALSE (65,Inf] 38500
## 999 TRUE (25,65] NA
custdata$is.employed[is.na(custdata$is.employed)] <- FALSE
custdata$Income[is.na(custdata$Income)] <- mean(custdata$Income, na.rm = TRUE)
sum(is.na(custdata))
## [1] 168
colSums(is.na(custdata))
## state.of.res custid sex is.employed
## 0 0 0 0
## income marital.stat health.ins housing.type
## 0 0 0 56
## recent.move num.vehicles age is.employed.fix1
## 56 56 0 0
## age.normalized Median.Income income.norm gp
## 0 0 0 0
## income.lt.30K age.range Income
## 0 0 0
missing_values <- colSums(is.na(custdata))
data.frame(Attribute = names(missing_values), Missing_Values = missing_values)
## Attribute Missing_Values
## state.of.res state.of.res 0
## custid custid 0
## sex sex 0
## is.employed is.employed 0
## income income 0
## marital.stat marital.stat 0
## health.ins health.ins 0
## housing.type housing.type 56
## recent.move recent.move 56
## num.vehicles num.vehicles 56
## age age 0
## is.employed.fix1 is.employed.fix1 0
## age.normalized age.normalized 0
## Median.Income Median.Income 0
## income.norm income.norm 0
## gp gp 0
## income.lt.30K income.lt.30K 0
## age.range age.range 0
## Income Income 0
colSums(is.na(custdata))
## state.of.res custid sex is.employed
## 0 0 0 0
## income marital.stat health.ins housing.type
## 0 0 0 56
## recent.move num.vehicles age is.employed.fix1
## 56 56 0 0
## age.normalized Median.Income income.norm gp
## 0 0 0 0
## income.lt.30K age.range Income
## 0 0 0
custdata_clean <- custdata[complete.cases(custdata), ]
nrow(custdata)
## [1] 1000
nrow(custdata_clean)
## [1] 944
colSums(is.na(custdata_clean))
## state.of.res custid sex is.employed
## 0 0 0 0
## income marital.stat health.ins housing.type
## 0 0 0 0
## recent.move num.vehicles age is.employed.fix1
## 0 0 0 0
## age.normalized Median.Income income.norm gp
## 0 0 0 0
## income.lt.30K age.range Income
## 0 0 0
load("C:/Users/dipsy/Downloads/exampleData.rData")
sum(is.na(custdata$is.employed))
## [1] 328
custdata$is_employed_AddMissing <- custdata$is.employed
custdata$is_employed_AddMissing[is.na(custdata$is_employed_AddMissing)] <- "missing"
custdata$is_employed_AddMissing <- as.factor(custdata$is_employed_AddMissing)
str(custdata$is_employed_AddMissing)
## Factor w/ 3 levels "FALSE","missing",..: 3 2 2 2 3 1 3 3 2 2 ...
table(custdata$is_employed_AddMissing)
##
## FALSE missing TRUE
## 73 328 599
sum(is.na(custdata$Income))
## [1] 328
custdata$Income_MissingfixedByZeroes <- custdata$Income
custdata$Income_MissingfixedByZeroes[is.na(custdata$Income_MissingfixedByZeroes)] <- 0
sum(is.na(custdata$Income_MissingfixedByZeroes))
## [1] 0
summary(custdata$Income_MissingfixedByZeroes)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0 0 25250 44486 60000 615000
sum(is.na(custdata$Income))
## [1] 328
mean_income <- mean(custdata$Income, na.rm = TRUE)
custdata$Income_fixedByMean <- custdata$Income
custdata$Income_fixedByMean[is.na(custdata$Income_fixedByMean)] <- mean_income
sum(is.na(custdata$Income_fixedByMean))
## [1] 0
custdata_merged <- merge(custdata, medianincome,
by.x = "state.of.res",
by.y = "State")
str(custdata_merged)
## 'data.frame': 1000 obs. of 23 variables:
## $ state.of.res : Factor w/ 50 levels "Alabama","Alaska",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ custid : int 1063014 1192089 16551 1079878 502705 674271 15917 467335 462569 1216026 ...
## $ sex : Factor w/ 2 levels "F","M": 1 2 1 1 2 2 1 2 2 2 ...
## $ is.employed : logi TRUE NA NA NA TRUE FALSE ...
## $ income : int 82000 49000 7000 37200 70000 0 24000 42600 22000 9600 ...
## $ marital.stat : Factor w/ 4 levels "Divorced/Separated",..: 2 2 2 1 2 2 1 3 4 3 ...
## $ health.ins : logi TRUE TRUE TRUE TRUE FALSE TRUE ...
## $ housing.type : Factor w/ 4 levels "Homeowner free and clear",..: 4 1 2 2 4 4 1 4 1 4 ...
## $ recent.move : logi FALSE FALSE FALSE FALSE FALSE TRUE ...
## $ num.vehicles : int 2 2 2 1 4 1 1 1 0 6 ...
## $ age : num 43 77 46 62 37 54 70 33 89 50 ...
## $ is.employed.fix1 : chr "employed" "missing" "missing" "missing" ...
## $ age.normalized : num -0.461 1.341 -0.302 0.546 -0.779 ...
## $ Median.Income.x : num 52371 52371 52371 52371 52371 ...
## $ income.norm : num 1.566 0.936 0.134 0.71 1.337 ...
## $ gp : num 0.935 0.116 0.991 0.187 0.849 ...
## $ income.lt.30K : logi FALSE FALSE TRUE FALSE FALSE TRUE ...
## $ age.range : Factor w/ 3 levels "[0,25]","(25,65]",..: 2 3 2 2 2 2 3 2 3 2 ...
## $ Income : num NA NA 4500 20000 12000 180000 120000 40000 NA 24000 ...
## $ is_employed_AddMissing : Factor w/ 3 levels "FALSE","missing",..: 3 2 2 2 3 1 3 3 2 2 ...
## $ Income_MissingfixedByZeroes: num 0 0 4500 20000 12000 180000 120000 40000 0 24000 ...
## $ Income_fixedByMean : num 66199 66199 4500 20000 12000 ...
## $ Median.Income.y : num 52371 52371 52371 52371 52371 ...
head(custdata_merged)
## state.of.res custid sex is.employed income marital.stat health.ins
## 1 Alabama 1063014 F TRUE 82000 Married TRUE
## 2 Alabama 1192089 M NA 49000 Married TRUE
## 3 Alabama 16551 F NA 7000 Married TRUE
## 4 Alabama 1079878 F NA 37200 Divorced/Separated TRUE
## 5 Alabama 502705 M TRUE 70000 Married FALSE
## 6 Alabama 674271 M FALSE 0 Married TRUE
## housing.type recent.move num.vehicles age is.employed.fix1
## 1 Rented FALSE 2 43 employed
## 2 Homeowner free and clear FALSE 2 77 missing
## 3 Homeowner with mortgage/loan FALSE 2 46 missing
## 4 Homeowner with mortgage/loan FALSE 1 62 missing
## 5 Rented FALSE 4 37 employed
## 6 Rented TRUE 1 54 not employed
## age.normalized Median.Income.x income.norm gp income.lt.30K age.range
## 1 -0.4612000 52371 1.5657520 0.9350600 FALSE (25,65]
## 2 1.3412291 52371 0.9356323 0.1162411 FALSE (65,Inf]
## 3 -0.3021621 52371 0.1336618 0.9906832 TRUE (25,65]
## 4 0.5460398 52371 0.7103168 0.1873560 FALSE (25,65]
## 5 -0.7792757 52371 1.3366176 0.8490238 FALSE (25,65]
## 6 0.1219389 52371 0.0000000 0.3295085 TRUE (25,65]
## Income is_employed_AddMissing Income_MissingfixedByZeroes Income_fixedByMean
## 1 NA TRUE 0 66198.67
## 2 NA missing 0 66198.67
## 3 4500 missing 4500 4500.00
## 4 20000 missing 20000 20000.00
## 5 12000 TRUE 12000 12000.00
## 6 180000 FALSE 180000 180000.00
## Median.Income.y
## 1 52371
## 2 52371
## 3 52371
## 4 52371
## 5 52371
## 6 52371
dim(custdata_merged)
## [1] 1000 23
summary(custdata_merged[, c("state.of.res", "Income", "Median.Income.y")])
## state.of.res Income Median.Income.y
## California :114 Min. : 0 Min. :37427
## New York : 94 1st Qu.: 25000 1st Qu.:44819
## Pennsylvania: 63 Median : 45000 Median :50118
## Ohio : 59 Mean : 66199 Mean :50919
## Illinois : 52 3rd Qu.: 82000 3rd Qu.:55534
## Texas : 51 Max. :615000 Max. :68187
## (Other) :567 NA's :328
names(custdata_merged)
## [1] "state.of.res" "custid"
## [3] "sex" "is.employed"
## [5] "income" "marital.stat"
## [7] "health.ins" "housing.type"
## [9] "recent.move" "num.vehicles"
## [11] "age" "is.employed.fix1"
## [13] "age.normalized" "Median.Income.x"
## [15] "income.norm" "gp"
## [17] "income.lt.30K" "age.range"
## [19] "Income" "is_employed_AddMissing"
## [21] "Income_MissingfixedByZeroes" "Income_fixedByMean"
## [23] "Median.Income.y"
custdata_merged$income_normed <- custdata_merged$income / custdata_merged$Median.Income.y
summary(custdata_merged$income_normed)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -0.1956 0.2812 0.6712 1.0781 1.3508 11.7870