KOMPUTASI
MIDTERM
Brigita Tiara Elgityana Melantika (20204920001)
October 25, 2022
Email : brigita.melantika@student.matanauniversity.ac.id
RPubs : https://rpubs.com/brigitatiaraem/
Jurusan : Statistika
Address : ARA Center, Matana University Tower
Jl. CBD Barat Kav, RT.1, Curug Sangereng, Kelapa Dua, Tangerang, Banten 15810.
https://colab.research.google.com/drive/1jDMMPMGidzq3kbVYPS7j0TAcwhhe0lVF#scrollTo=REJxph5JurDn
1 DATASET
Kumpulan konsumen yang melakukan pinjaman di suatu Bank. Dataset ini memiliki 613 observasi, 13 atribut sebagai berikut.
2 TUGAS 1
Lakukan proses persiapan data dengan R, dengan beberapa langkah berikut.
2.1 Import Data
Lakukan import dataset dari folder terlebih dahulu.
dat<-read.csv("loan-train.csv",sep=",")Melihat jenis dataset dengan perintahclass().
class(dat)## [1] "data.frame"Print dataset dengan nama “dat” untuk mengecek apakah sudah dalam bentuk tabel.
dat## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP001002 Male No 0 Graduate No
## 2 LP001003 Male Yes 1 Graduate No
## 3 LP001005 Male Yes 0 Graduate Yes
## 4 LP001006 Male Yes 0 Not Graduate No
## 5 LP001008 Male No 0 Graduate No
## 6 LP001011 Male Yes 2 Graduate Yes
## 7 LP001013 Male Yes 0 Not Graduate No
## 8 LP001014 Male Yes 3+ Graduate No
## 9 LP001018 Male Yes 2 Graduate No
## 10 LP001020 Male Yes 1 Graduate No
## 11 LP001024 Male Yes 2 Graduate No
## 12 LP001027 Male Yes 2 Graduate
## 13 LP001028 Male Yes 2 Graduate No
## 14 LP001029 Male No 0 Graduate No
## 15 LP001030 Male Yes 2 Graduate No
## 16 LP001032 Male No 0 Graduate No
## 17 LP001034 Male No 1 Not Graduate No
## 18 LP001036 Female No 0 Graduate No
## 19 LP001038 Male Yes 0 Not Graduate No
## 20 LP001041 Male Yes 0 Graduate
## 21 LP001043 Male Yes 0 Not Graduate No
## 22 LP001046 Male Yes 1 Graduate No
## 23 LP001047 Male Yes 0 Not Graduate No
## 24 LP001050 Yes 2 Not Graduate No
## 25 LP001052 Male Yes 1 Graduate
## 26 LP001066 Male Yes 0 Graduate Yes
## 27 LP001068 Male Yes 0 Graduate No
## 28 LP001073 Male Yes 2 Not Graduate No
## 29 LP001086 Male No 0 Not Graduate No
## 30 LP001087 Female No 2 Graduate
## 31 LP001091 Male Yes 1 Graduate
## 32 LP001095 Male No 0 Graduate No
## 33 LP001097 Male No 1 Graduate Yes
## 34 LP001098 Male Yes 0 Graduate No
## 35 LP001100 Male No 3+ Graduate No
## 36 LP001106 Male Yes 0 Graduate No
## 37 LP001109 Male Yes 0 Graduate No
## 38 LP001112 Female Yes 0 Graduate No
## 39 LP001114 Male No 0 Graduate No
## 40 LP001116 Male No 0 Not Graduate No
## 41 LP001119 Male No 0 Graduate No
## 42 LP001120 Male No 0 Graduate No
## 43 LP001123 Male Yes 0 Graduate No
## 44 LP001131 Male Yes 0 Graduate No
## 45 LP001136 Male Yes 0 Not Graduate Yes
## 46 LP001137 Female No 0 Graduate No
## 47 LP001138 Male Yes 1 Graduate No
## 48 LP001144 Male Yes 0 Graduate No
## 49 LP001146 Female Yes 0 Graduate No
## 50 LP001151 Female No 0 Graduate No
## 51 LP001155 Female Yes 0 Not Graduate No
## 52 LP001157 Female No 0 Graduate No
## 53 LP001164 Female No 0 Graduate No
## 54 LP001179 Male Yes 2 Graduate No
## 55 LP001186 Female Yes 1 Graduate Yes
## 56 LP001194 Male Yes 2 Graduate No
## 57 LP001195 Male Yes 0 Graduate No
## 58 LP001197 Male Yes 0 Graduate No
## 59 LP001198 Male Yes 1 Graduate No
## 60 LP001199 Male Yes 2 Not Graduate No
## 61 LP001205 Male Yes 0 Graduate No
## 62 LP001206 Male Yes 3+ Graduate No
## 63 LP001207 Male Yes 0 Not Graduate Yes
## 64 LP001213 Male Yes 1 Graduate No
## 65 LP001222 Female No 0 Graduate No
## 66 LP001225 Male Yes 0 Graduate No
## 67 LP001228 Male No 0 Not Graduate No
## 68 LP001233 Male Yes 1 Graduate No
## 69 LP001238 Male Yes 3+ Not Graduate Yes
## 70 LP001241 Female No 0 Graduate No
## 71 LP001243 Male Yes 0 Graduate No
## 72 LP001245 Male Yes 2 Not Graduate Yes
## 73 LP001248 Male No 0 Graduate No
## 74 LP001250 Male Yes 3+ Not Graduate No
## 75 LP001253 Male Yes 3+ Graduate Yes
## 76 LP001255 Male No 0 Graduate No
## 77 LP001256 Male No 0 Graduate No
## 78 LP001259 Male Yes 1 Graduate Yes
## 79 LP001263 Male Yes 3+ Graduate No
## 80 LP001264 Male Yes 3+ Not Graduate Yes
## 81 LP001265 Female No 0 Graduate No
## 82 LP001266 Male Yes 1 Graduate Yes
## 83 LP001267 Female Yes 2 Graduate No
## 84 LP001273 Male Yes 0 Graduate No
## 85 LP001275 Male Yes 1 Graduate No
## 86 LP001279 Male No 0 Graduate No
## 87 LP001280 Male Yes 2 Not Graduate No
## 88 LP001282 Male Yes 0 Graduate No
## 89 LP001289 Male No 0 Graduate No
## 90 LP001310 Male Yes 0 Graduate No
## 91 LP001316 Male Yes 0 Graduate No
## 92 LP001318 Male Yes 2 Graduate No
## 93 LP001319 Male Yes 2 Not Graduate No
## 94 LP001322 Male No 0 Graduate No
## 95 LP001325 Male No 0 Not Graduate No
## 96 LP001326 Male No 0 Graduate
## 97 LP001327 Female Yes 0 Graduate No
## 98 LP001333 Male Yes 0 Graduate No
## 99 LP001334 Male Yes 0 Not Graduate No
## 100 LP001343 Male Yes 0 Graduate No
## 101 LP001345 Male Yes 2 Not Graduate No
## 102 LP001349 Male No 0 Graduate No
## 103 LP001350 Male Yes Graduate No
## 104 LP001356 Male Yes 0 Graduate No
## 105 LP001357 Male Graduate No
## 106 LP001367 Male Yes 1 Graduate No
## 107 LP001369 Male Yes 2 Graduate No
## 108 LP001370 Male No 0 Not Graduate
## 109 LP001379 Male Yes 2 Graduate No
## 110 LP001384 Male Yes 3+ Not Graduate No
## 111 LP001385 Male No 0 Graduate No
## 112 LP001387 Female Yes 0 Graduate
## 113 LP001391 Male Yes 0 Not Graduate No
## 114 LP001392 Female No 1 Graduate Yes
## 115 LP001398 Male No 0 Graduate
## 116 LP001401 Male Yes 1 Graduate No
## 117 LP001404 Female Yes 0 Graduate No
## 118 LP001405 Male Yes 1 Graduate No
## 119 LP001421 Male Yes 0 Graduate No
## 120 LP001422 Female No 0 Graduate No
## 121 LP001426 Male Yes Graduate No
## 122 LP001430 Female No 0 Graduate No
## 123 LP001431 Female No 0 Graduate No
## 124 LP001432 Male Yes 2 Graduate No
## 125 LP001439 Male Yes 0 Not Graduate No
## 126 LP001443 Female No 0 Graduate No
## 127 LP001448 Yes 3+ Graduate No
## 128 LP001449 Male No 0 Graduate No
## 129 LP001451 Male Yes 1 Graduate Yes
## 130 LP001465 Male Yes 0 Graduate No
## 131 LP001469 Male No 0 Graduate Yes
## 132 LP001473 Male No 0 Graduate No
## 133 LP001478 Male No 0 Graduate No
## 134 LP001482 Male Yes 0 Graduate Yes
## 135 LP001487 Male No 0 Graduate No
## 136 LP001488 Male Yes 3+ Graduate No
## 137 LP001489 Female Yes 0 Graduate No
## 138 LP001491 Male Yes 2 Graduate Yes
## 139 LP001492 Male No 0 Graduate No
## 140 LP001493 Male Yes 2 Not Graduate No
## 141 LP001497 Male Yes 2 Graduate No
## 142 LP001498 Male No 0 Graduate No
## 143 LP001504 Male No 0 Graduate Yes
## 144 LP001507 Male Yes 0 Graduate No
## 145 LP001508 Male Yes 2 Graduate No
## 146 LP001514 Female Yes 0 Graduate No
## 147 LP001516 Female Yes 2 Graduate No
## 148 LP001518 Male Yes 1 Graduate No
## 149 LP001519 Female No 0 Graduate No
## 150 LP001520 Male Yes 0 Graduate No
## 151 LP001528 Male No 0 Graduate No
## 152 LP001529 Male Yes 0 Graduate Yes
## 153 LP001531 Male No 0 Graduate No
## 154 LP001532 Male Yes 2 Not Graduate No
## 155 LP001535 Male No 0 Graduate No
## 156 LP001536 Male Yes 3+ Graduate No
## 157 LP001541 Male Yes 1 Graduate No
## 158 LP001543 Male Yes 1 Graduate No
## 159 LP001546 Male No 0 Graduate
## 160 LP001552 Male Yes 0 Graduate No
## 161 LP001560 Male Yes 0 Not Graduate No
## 162 LP001562 Male Yes 0 Graduate No
## 163 LP001565 Male Yes 1 Graduate No
## 164 LP001570 Male Yes 2 Graduate No
## 165 LP001572 Male Yes 0 Graduate No
## 166 LP001574 Male Yes 0 Graduate No
## 167 LP001577 Female Yes 0 Graduate No
## 168 LP001578 Male Yes 0 Graduate No
## 169 LP001579 Male No 0 Graduate No
## 170 LP001580 Male Yes 2 Graduate No
## 171 LP001581 Male Yes 0 Not Graduate
## 172 LP001585 Yes 3+ Graduate No
## 173 LP001586 Male Yes 3+ Not Graduate No
## 174 LP001594 Male Yes 0 Graduate No
## 175 LP001603 Male Yes 0 Not Graduate Yes
## 176 LP001606 Male Yes 0 Graduate No
## 177 LP001608 Male Yes 2 Graduate No
## 178 LP001610 Male Yes 3+ Graduate No
## 179 LP001616 Male Yes 1 Graduate No
## 180 LP001630 Male No 0 Not Graduate No
## 181 LP001633 Male Yes 1 Graduate No
## 182 LP001634 Male No 0 Graduate No
## 183 LP001636 Male Yes 0 Graduate No
## 184 LP001637 Male Yes 1 Graduate No
## 185 LP001639 Female Yes 0 Graduate No
## 186 LP001640 Male Yes 0 Graduate Yes
## 187 LP001641 Male Yes 1 Graduate Yes
## 188 LP001643 Male Yes 0 Graduate No
## 189 LP001644 Yes 0 Graduate Yes
## 190 LP001647 Male Yes 0 Graduate No
## 191 LP001653 Male No 0 Not Graduate No
## 192 LP001656 Male No 0 Graduate No
## 193 LP001657 Male Yes 0 Not Graduate No
## 194 LP001658 Male No 0 Graduate No
## 195 LP001664 Male No 0 Graduate No
## 196 LP001665 Male Yes 1 Graduate No
## 197 LP001666 Male No 0 Graduate No
## 198 LP001669 Female No 0 Not Graduate No
## 199 LP001671 Female Yes 0 Graduate No
## 200 LP001673 Male No 0 Graduate Yes
## 201 LP001674 Male Yes 1 Not Graduate No
## 202 LP001677 Male No 2 Graduate No
## 203 LP001682 Male Yes 3+ Not Graduate No
## 204 LP001688 Male Yes 1 Not Graduate No
## 205 LP001691 Male Yes 2 Not Graduate No
## 206 LP001692 Female No 0 Not Graduate No
## 207 LP001693 Female No 0 Graduate No
## 208 LP001698 Male No 0 Not Graduate No
## 209 LP001699 Male No 0 Graduate No
## 210 LP001702 Male No 0 Graduate No
## 211 LP001708 Female No 0 Graduate No
## 212 LP001711 Male Yes 3+ Graduate No
## 213 LP001713 Male Yes 1 Graduate Yes
## 214 LP001715 Male Yes 3+ Not Graduate Yes
## 215 LP001716 Male Yes 0 Graduate No
## 216 LP001720 Male Yes 3+ Not Graduate No
## 217 LP001722 Male Yes 0 Graduate No
## 218 LP001726 Male Yes 0 Graduate No
## 219 LP001732 Male Yes 2 Graduate
## 220 LP001734 Female Yes 2 Graduate No
## 221 LP001736 Male Yes 0 Graduate No
## 222 LP001743 Male Yes 2 Graduate No
## 223 LP001744 Male No 0 Graduate No
## 224 LP001749 Male Yes 0 Graduate No
## 225 LP001750 Male Yes 0 Graduate No
## 226 LP001751 Male Yes 0 Graduate No
## 227 LP001754 Male Yes Not Graduate Yes
## 228 LP001758 Male Yes 2 Graduate No
## 229 LP001760 Male Graduate No
## 230 LP001761 Male No 0 Graduate Yes
## 231 LP001765 Male Yes 1 Graduate No
## 232 LP001768 Male Yes 0 Graduate
## 233 LP001770 Male No 0 Not Graduate No
## 234 LP001776 Female No 0 Graduate No
## 235 LP001778 Male Yes 1 Graduate No
## 236 LP001784 Male Yes 1 Graduate No
## 237 LP001786 Male Yes 0 Graduate
## 238 LP001788 Female No 0 Graduate Yes
## 239 LP001790 Female No 1 Graduate No
## 240 LP001792 Male Yes 1 Graduate No
## 241 LP001798 Male Yes 2 Graduate No
## 242 LP001800 Male Yes 1 Not Graduate No
## 243 LP001806 Male No 0 Graduate No
## 244 LP001807 Male Yes 2 Graduate Yes
## 245 LP001811 Male Yes 0 Not Graduate No
## 246 LP001813 Male No 0 Graduate Yes
## 247 LP001814 Male Yes 2 Graduate No
## 248 LP001819 Male Yes 1 Not Graduate No
## 249 LP001824 Male Yes 1 Graduate No
## 250 LP001825 Male Yes 0 Graduate No
## 251 LP001835 Male Yes 0 Not Graduate No
## 252 LP001836 Female No 2 Graduate No
## 253 LP001841 Male No 0 Not Graduate Yes
## 254 LP001843 Male Yes 1 Not Graduate No
## 255 LP001844 Male No 0 Graduate Yes
## 256 LP001846 Female No 3+ Graduate No
## 257 LP001849 Male No 0 Not Graduate No
## 258 LP001854 Male Yes 3+ Graduate No
## 259 LP001859 Male Yes 0 Graduate No
## 260 LP001864 Male Yes 3+ Not Graduate No
## 261 LP001865 Male Yes 1 Graduate No
## 262 LP001868 Male No 0 Graduate No
## 263 LP001870 Female No 1 Graduate No
## 264 LP001871 Female No 0 Graduate No
## 265 LP001872 Male No 0 Graduate Yes
## 266 LP001875 Male No 0 Graduate No
## 267 LP001877 Male Yes 2 Graduate No
## 268 LP001882 Male Yes 3+ Graduate No
## 269 LP001883 Female No 0 Graduate
## 270 LP001884 Female No 1 Graduate No
## 271 LP001888 Female No 0 Graduate No
## 272 LP001891 Male Yes 0 Graduate No
## 273 LP001892 Male No 0 Graduate No
## 274 LP001894 Male Yes 0 Graduate No
## 275 LP001896 Male Yes 2 Graduate No
## 276 LP001900 Male Yes 1 Graduate No
## 277 LP001903 Male Yes 0 Graduate No
## 278 LP001904 Male Yes 0 Graduate No
## 279 LP001907 Male Yes 0 Graduate No
## 280 LP001908 Female Yes 0 Not Graduate No
## 281 LP001910 Male No 1 Not Graduate Yes
## 282 LP001914 Male Yes 0 Graduate No
## 283 LP001915 Male Yes 2 Graduate No
## 284 LP001917 Female No 0 Graduate No
## 285 LP001922 Male Yes 0 Graduate No
## 286 LP001924 Male No 0 Graduate No
## 287 LP001925 Female No 0 Graduate Yes
## 288 LP001926 Male Yes 0 Graduate No
## 289 LP001931 Female No 0 Graduate No
## 290 LP001935 Male No 0 Graduate No
## 291 LP001936 Male Yes 0 Graduate No
## 292 LP001938 Male Yes 2 Graduate No
## 293 LP001940 Male Yes 2 Graduate No
## 294 LP001945 Female No Graduate No
## 295 LP001947 Male Yes 0 Graduate No
## 296 LP001949 Male Yes 3+ Graduate
## 297 LP001953 Male Yes 1 Graduate No
## 298 LP001954 Female Yes 1 Graduate No
## 299 LP001955 Female No 0 Graduate No
## 300 LP001963 Male Yes 1 Graduate No
## 301 LP001964 Male Yes 0 Not Graduate No
## 302 LP001972 Male Yes Not Graduate No
## 303 LP001974 Female No 0 Graduate No
## 304 LP001977 Male Yes 1 Graduate No
## 305 LP001978 Male No 0 Graduate No
## 306 LP001990 Male No 0 Not Graduate No
## 307 LP001993 Female No 0 Graduate No
## 308 LP001994 Female No 0 Graduate No
## 309 LP001996 Male No 0 Graduate No
## 310 LP001998 Male Yes 2 Not Graduate No
## 311 LP002002 Female No 0 Graduate No
## 312 LP002004 Male No 0 Not Graduate No
## 313 LP002006 Female No 0 Graduate No
## 314 LP002008 Male Yes 2 Graduate Yes
## 315 LP002024 Yes 0 Graduate No
## 316 LP002031 Male Yes 1 Not Graduate No
## 317 LP002035 Male Yes 2 Graduate No
## 318 LP002036 Male Yes 0 Graduate No
## 319 LP002043 Female No 1 Graduate No
## 320 LP002050 Male Yes 1 Graduate Yes
## 321 LP002051 Male Yes 0 Graduate No
## 322 LP002053 Male Yes 3+ Graduate No
## 323 LP002054 Male Yes 2 Not Graduate No
## 324 LP002055 Female No 0 Graduate No
## 325 LP002065 Male Yes 3+ Graduate No
## 326 LP002067 Male Yes 1 Graduate Yes
## 327 LP002068 Male No 0 Graduate No
## 328 LP002082 Male Yes 0 Graduate Yes
## 329 LP002086 Female Yes 0 Graduate No
## 330 LP002087 Female No 0 Graduate No
## 331 LP002097 Male No 1 Graduate No
## 332 LP002098 Male No 0 Graduate No
## 333 LP002100 Male No Graduate No
## 334 LP002101 Male Yes 0 Graduate
## 335 LP002103 Yes 1 Graduate Yes
## 336 LP002106 Male Yes Graduate Yes
## 337 LP002110 Male Yes 1 Graduate
## 338 LP002112 Male Yes 2 Graduate Yes
## 339 LP002113 Female No 3+ Not Graduate No
## 340 LP002114 Female No 0 Graduate No
## 341 LP002115 Male Yes 3+ Not Graduate No
## 342 LP002116 Female No 0 Graduate No
## 343 LP002119 Male Yes 1 Not Graduate No
## 344 LP002126 Male Yes 3+ Not Graduate No
## 345 LP002128 Male Yes 2 Graduate
## 346 LP002129 Male Yes 0 Graduate No
## 347 LP002130 Male Yes Not Graduate No
## 348 LP002131 Male Yes 2 Not Graduate No
## 349 LP002137 Male Yes 0 Graduate No
## 350 LP002138 Male Yes 0 Graduate No
## 351 LP002139 Male Yes 0 Graduate No
## 352 LP002140 Male No 0 Graduate No
## 353 LP002141 Male Yes 3+ Graduate No
## 354 LP002142 Female Yes 0 Graduate Yes
## 355 LP002143 Female Yes 0 Graduate No
## 356 LP002144 Female No Graduate No
## 357 LP002149 Male Yes 2 Graduate No
## 358 LP002151 Male Yes 1 Graduate No
## 359 LP002158 Male Yes 0 Not Graduate No
## 360 LP002160 Male Yes 3+ Graduate No
## 361 LP002161 Female No 1 Graduate No
## 362 LP002170 Male Yes 2 Graduate No
## 363 LP002175 Male Yes 0 Graduate No
## 364 LP002178 Male Yes 0 Graduate No
## 365 LP002180 Male No 0 Graduate Yes
## 366 LP002181 Male No 0 Not Graduate No
## 367 LP002187 Male No 0 Graduate No
## 368 LP002188 Male No 0 Graduate No
## 369 LP002190 Male Yes 1 Graduate No
## 370 LP002191 Male Yes 0 Graduate No
## 371 LP002194 Female No 0 Graduate Yes
## 372 LP002197 Male Yes 2 Graduate No
## 373 LP002201 Male Yes 2 Graduate Yes
## 374 LP002205 Male No 1 Graduate No
## 375 LP002209 Female No 0 Graduate
## 376 LP002211 Male Yes 0 Graduate No
## 377 LP002219 Male Yes 3+ Graduate No
## 378 LP002223 Male Yes 0 Graduate No
## 379 LP002224 Male No 0 Graduate No
## 380 LP002225 Male Yes 2 Graduate No
## 381 LP002226 Male Yes 0 Graduate
## 382 LP002229 Male No 0 Graduate No
## 383 LP002231 Female No 0 Graduate No
## 384 LP002234 Male No 0 Graduate Yes
## 385 LP002236 Male Yes 2 Graduate No
## 386 LP002237 Male No 1 Graduate
## 387 LP002239 Male No 0 Not Graduate No
## 388 LP002243 Male Yes 0 Not Graduate No
## 389 LP002244 Male Yes 0 Graduate No
## 390 LP002250 Male Yes 0 Graduate No
## 391 LP002255 Male No 3+ Graduate No
## 392 LP002262 Male Yes 3+ Graduate No
## 393 LP002263 Male Yes 0 Graduate No
## 394 LP002265 Male Yes 2 Not Graduate No
## 395 LP002266 Male Yes 2 Graduate No
## 396 LP002272 Male Yes 2 Graduate No
## 397 LP002277 Female No 0 Graduate No
## 398 LP002281 Male Yes 0 Graduate No
## 399 LP002284 Male No 0 Not Graduate No
## 400 LP002287 Female No 0 Graduate No
## 401 LP002288 Male Yes 2 Not Graduate No
## 402 LP002296 Male No 0 Not Graduate No
## 403 LP002297 Male No 0 Graduate No
## 404 LP002300 Female No 0 Not Graduate No
## 405 LP002301 Female No 0 Graduate Yes
## 406 LP002305 Female No 0 Graduate No
## 407 LP002308 Male Yes 0 Not Graduate No
## 408 LP002314 Female No 0 Not Graduate No
## 409 LP002315 Male Yes 1 Graduate No
## 410 LP002317 Male Yes 3+ Graduate No
## 411 LP002318 Female No 1 Not Graduate Yes
## 412 LP002319 Male Yes 0 Graduate
## 413 LP002328 Male Yes 0 Not Graduate No
## 414 LP002332 Male Yes 0 Not Graduate No
## 415 LP002335 Female Yes 0 Not Graduate No
## 416 LP002337 Female No 0 Graduate No
## 417 LP002341 Female No 1 Graduate No
## 418 LP002342 Male Yes 2 Graduate Yes
## 419 LP002345 Male Yes 0 Graduate No
## 420 LP002347 Male Yes 0 Graduate No
## 421 LP002348 Male Yes 0 Graduate No
## 422 LP002357 Female No 0 Not Graduate No
## 423 LP002361 Male Yes 0 Graduate No
## 424 LP002362 Male Yes 1 Graduate No
## 425 LP002364 Male Yes 0 Graduate No
## 426 LP002366 Male Yes 0 Graduate No
## 427 LP002367 Female No 1 Not Graduate No
## 428 LP002368 Male Yes 2 Graduate No
## 429 LP002369 Male Yes 0 Graduate No
## 430 LP002370 Male No 0 Not Graduate No
## 431 LP002377 Female No 1 Graduate Yes
## 432 LP002379 Male No 0 Graduate No
## 433 LP002386 Male No 0 Graduate
## 434 LP002387 Male Yes 0 Graduate No
## 435 LP002390 Male No 0 Graduate No
## 436 LP002393 Female Graduate No
## 437 LP002398 Male No 0 Graduate No
## 438 LP002401 Male Yes 0 Graduate No
## 439 LP002403 Male No 0 Graduate Yes
## 440 LP002407 Female Yes 0 Not Graduate Yes
## 441 LP002408 Male No 0 Graduate No
## 442 LP002409 Male Yes 0 Graduate No
## 443 LP002418 Male No 3+ Not Graduate No
## 444 LP002422 Male No 1 Graduate No
## 445 LP002424 Male Yes 0 Graduate No
## 446 LP002429 Male Yes 1 Graduate Yes
## 447 LP002434 Male Yes 2 Not Graduate No
## 448 LP002435 Male Yes 0 Graduate
## 449 LP002443 Male Yes 2 Graduate No
## 450 LP002444 Male No 1 Not Graduate Yes
## 451 LP002446 Male Yes 2 Not Graduate No
## 452 LP002447 Male Yes 2 Not Graduate No
## 453 LP002448 Male Yes 0 Graduate No
## 454 LP002449 Male Yes 0 Graduate No
## 455 LP002453 Male No 0 Graduate Yes
## 456 LP002455 Male Yes 2 Graduate No
## 457 LP002459 Male Yes 0 Graduate No
## 458 LP002467 Male Yes 0 Graduate No
## 459 LP002472 Male No 2 Graduate No
## 460 LP002473 Male Yes 0 Graduate No
## 461 LP002478 Yes 0 Graduate Yes
## 462 LP002484 Male Yes 3+ Graduate No
## 463 LP002487 Male Yes 0 Graduate No
## 464 LP002489 Female No 1 Not Graduate
## 465 LP002493 Male No 0 Graduate No
## 466 LP002494 Male No 0 Graduate No
## 467 LP002500 Male Yes 3+ Not Graduate No
## 468 LP002501 Yes 0 Graduate No
## 469 LP002502 Female Yes 2 Not Graduate
## 470 LP002505 Male Yes 0 Graduate No
## 471 LP002515 Male Yes 1 Graduate Yes
## 472 LP002517 Male Yes 1 Not Graduate No
## 473 LP002519 Male Yes 3+ Graduate No
## 474 LP002522 Female No 0 Graduate Yes
## 475 LP002524 Male No 2 Graduate No
## 476 LP002527 Male Yes 2 Graduate Yes
## 477 LP002529 Male Yes 2 Graduate No
## 478 LP002530 Yes 2 Graduate No
## 479 LP002531 Male Yes 1 Graduate Yes
## 480 LP002533 Male Yes 2 Graduate No
## 481 LP002534 Female No 0 Not Graduate No
## 482 LP002536 Male Yes 3+ Not Graduate No
## 483 LP002537 Male Yes 0 Graduate No
## 484 LP002541 Male Yes 0 Graduate No
## 485 LP002543 Male Yes 2 Graduate No
## 486 LP002544 Male Yes 1 Not Graduate No
## 487 LP002545 Male No 2 Graduate No
## 488 LP002547 Male Yes 1 Graduate No
## 489 LP002555 Male Yes 2 Graduate Yes
## 490 LP002556 Male No 0 Graduate No
## 491 LP002560 Male No 0 Not Graduate No
## 492 LP002562 Male Yes 1 Not Graduate No
## 493 LP002571 Male No 0 Not Graduate No
## 494 LP002582 Female No 0 Not Graduate Yes
## 495 LP002585 Male Yes 0 Graduate No
## 496 LP002586 Female Yes 1 Graduate No
## 497 LP002587 Male Yes 0 Not Graduate No
## 498 LP002588 Male Yes 0 Graduate No
## 499 LP002600 Male Yes 1 Graduate Yes
## 500 LP002602 Male No 0 Graduate No
## 501 LP002603 Female No 0 Graduate No
## 502 LP002606 Female No 0 Graduate No
## 503 LP002615 Male Yes 2 Graduate No
## 504 LP002618 Male Yes 1 Not Graduate No
## 505 LP002619 Male Yes 0 Not Graduate No
## 506 LP002622 Male Yes 2 Graduate No
## 507 LP002624 Male Yes 0 Graduate No
## 508 LP002625 No 0 Graduate No
## 509 LP002626 Male Yes 0 Graduate Yes
## 510 LP002634 Female No 1 Graduate No
## 511 LP002637 Male No 0 Not Graduate No
## 512 LP002640 Male Yes 1 Graduate No
## 513 LP002643 Male Yes 2 Graduate No
## 514 LP002648 Male Yes 0 Graduate No
## 515 LP002652 Male No 0 Graduate No
## 516 LP002659 Male Yes 3+ Graduate No
## 517 LP002670 Female Yes 2 Graduate No
## 518 LP002682 Male Yes Not Graduate No
## 519 LP002683 Male No 0 Graduate No
## 520 LP002684 Female No 0 Not Graduate No
## 521 LP002689 Male Yes 2 Not Graduate No
## 522 LP002690 Male No 0 Graduate No
## 523 LP002692 Male Yes 3+ Graduate Yes
## 524 LP002693 Male Yes 2 Graduate Yes
## 525 LP002697 Male No 0 Graduate No
## 526 LP002699 Male Yes 2 Graduate Yes
## 527 LP002705 Male Yes 0 Graduate No
## 528 LP002706 Male Yes 1 Not Graduate No
## 529 LP002714 Male No 1 Not Graduate No
## 530 LP002716 Male No 0 Not Graduate No
## 531 LP002717 Male Yes 0 Graduate No
## 532 LP002720 Male Yes 3+ Graduate No
## 533 LP002723 Male No 2 Graduate No
## 534 LP002729 Male No 1 Graduate No
## 535 LP002731 Female No 0 Not Graduate Yes
## 536 LP002732 Male No 0 Not Graduate
## 537 LP002734 Male Yes 0 Graduate No
## 538 LP002738 Male No 2 Graduate No
## 539 LP002739 Male Yes 0 Not Graduate No
## 540 LP002740 Male Yes 3+ Graduate No
## 541 LP002741 Female Yes 1 Graduate No
## 542 LP002743 Female No 0 Graduate No
## 543 LP002753 Female No 1 Graduate
## 544 LP002755 Male Yes 1 Not Graduate No
## 545 LP002757 Female Yes 0 Not Graduate No
## 546 LP002767 Male Yes 0 Graduate No
## 547 LP002768 Male No 0 Not Graduate No
## 548 LP002772 Male No 0 Graduate No
## 549 LP002776 Female No 0 Graduate No
## 550 LP002777 Male Yes 0 Graduate No
## 551 LP002778 Male Yes 2 Graduate Yes
## 552 LP002784 Male Yes 1 Not Graduate No
## 553 LP002785 Male Yes 1 Graduate No
## 554 LP002788 Male Yes 0 Not Graduate No
## 555 LP002789 Male Yes 0 Graduate No
## 556 LP002792 Male Yes 1 Graduate No
## 557 LP002794 Female No 0 Graduate No
## 558 LP002795 Male Yes 3+ Graduate Yes
## 559 LP002798 Male Yes 0 Graduate No
## 560 LP002804 Female Yes 0 Graduate No
## 561 LP002807 Male Yes 2 Not Graduate No
## 562 LP002813 Female Yes 1 Graduate Yes
## 563 LP002820 Male Yes 0 Graduate No
## 564 LP002821 Male No 0 Not Graduate Yes
## 565 LP002832 Male Yes 2 Graduate No
## 566 LP002833 Male Yes 0 Not Graduate No
## 567 LP002836 Male No 0 Graduate No
## 568 LP002837 Male Yes 3+ Graduate No
## 569 LP002840 Female No 0 Graduate No
## 570 LP002841 Male Yes 0 Graduate No
## 571 LP002842 Male Yes 1 Graduate No
## 572 LP002847 Male Yes Graduate No
## 573 LP002855 Male Yes 2 Graduate No
## 574 LP002862 Male Yes 2 Not Graduate No
## 575 LP002863 Male Yes 3+ Graduate No
## 576 LP002868 Male Yes 2 Graduate No
## 577 LP002872 Yes 0 Graduate No
## 578 LP002874 Male No 0 Graduate No
## 579 LP002877 Male Yes 1 Graduate No
## 580 LP002888 Male No 0 Graduate
## 581 LP002892 Male Yes 2 Graduate No
## 582 LP002893 Male No 0 Graduate No
## 583 LP002894 Female Yes 0 Graduate No
## 584 LP002898 Male Yes 1 Graduate No
## 585 LP002911 Male Yes 1 Graduate No
## 586 LP002912 Male Yes 1 Graduate No
## 587 LP002916 Male Yes 0 Graduate No
## 588 LP002917 Female No 0 Not Graduate No
## 589 LP002925 No 0 Graduate No
## 590 LP002926 Male Yes 2 Graduate Yes
## 591 LP002928 Male Yes 0 Graduate No
## 592 LP002931 Male Yes 2 Graduate Yes
## 593 LP002933 No 3+ Graduate Yes
## 594 LP002936 Male Yes 0 Graduate No
## 595 LP002938 Male Yes 0 Graduate Yes
## 596 LP002940 Male No 0 Not Graduate No
## 597 LP002941 Male Yes 2 Not Graduate Yes
## 598 LP002943 Male No Graduate No
## 599 LP002945 Male Yes 0 Graduate Yes
## 600 LP002948 Male Yes 2 Graduate No
## 601 LP002949 Female No 3+ Graduate
## 602 LP002950 Male Yes 0 Not Graduate
## 603 LP002953 Male Yes 3+ Graduate No
## 604 LP002958 Male No 0 Graduate No
## 605 LP002959 Female Yes 1 Graduate No
## 606 LP002960 Male Yes 0 Not Graduate No
## 607 LP002961 Male Yes 1 Graduate No
## 608 LP002964 Male Yes 2 Not Graduate No
## 609 LP002974 Male Yes 0 Graduate No
## 610 LP002978 Female No 0 Graduate No
## 611 LP002979 Male Yes 3+ Graduate No
## 612 LP002983 Male Yes 1 Graduate No
## 613 LP002984 Male Yes 2 Graduate No
## 614 LP002990 Female No 0 Graduate Yes
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 5849 0.00 NA 360
## 2 4583 1508.00 128 360
## 3 3000 0.00 66 360
## 4 2583 2358.00 120 360
## 5 6000 0.00 141 360
## 6 5417 4196.00 267 360
## 7 2333 1516.00 95 360
## 8 3036 2504.00 158 360
## 9 4006 1526.00 168 360
## 10 12841 10968.00 349 360
## 11 3200 700.00 70 360
## 12 2500 1840.00 109 360
## 13 3073 8106.00 200 360
## 14 1853 2840.00 114 360
## 15 1299 1086.00 17 120
## 16 4950 0.00 125 360
## 17 3596 0.00 100 240
## 18 3510 0.00 76 360
## 19 4887 0.00 133 360
## 20 2600 3500.00 115 NA
## 21 7660 0.00 104 360
## 22 5955 5625.00 315 360
## 23 2600 1911.00 116 360
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## Credit_History Property_Area Loan_Status
## 1 1 Urban Y
## 2 1 Rural N
## 3 1 Urban Y
## 4 1 Urban Y
## 5 1 Urban Y
## 6 1 Urban Y
## 7 1 Urban Y
## 8 0 Semiurban N
## 9 1 Urban Y
## 10 1 Semiurban N
## 11 1 Urban Y
## 12 1 Urban Y
## 13 1 Urban Y
## 14 1 Rural N
## 15 1 Urban Y
## 16 1 Urban Y
## 17 NA Urban Y
## 18 0 Urban N
## 19 1 Rural N
## 20 1 Urban Y
## 21 0 Urban N
## 22 1 Urban Y
## 23 0 Semiurban N
## 24 0 Rural N
## 25 NA Semiurban N
## 26 1 Semiurban Y
## 27 1 Semiurban Y
## 28 1 Urban Y
## 29 1 Urban N
## 30 1 Semiurban Y
## 31 NA Urban N
## 32 1 Urban N
## 33 1 Rural N
## 34 1 Semiurban Y
## 35 1 Rural N
## 36 1 Urban Y
## 37 0 Urban N
## 38 1 Semiurban Y
## 39 1 Urban Y
## 40 1 Semiurban Y
## 41 1 Urban N
## 42 1 Urban Y
## 43 NA Urban Y
## 44 1 Semiurban Y
## 45 1 Urban Y
## 46 1 Urban Y
## 47 1 Urban Y
## 48 1 Urban Y
## 49 0 Urban N
## 50 1 Semiurban Y
## 51 1 Semiurban Y
## 52 1 Semiurban Y
## 53 1 Semiurban N
## 54 1 Urban N
## 55 0 Urban N
## 56 1 Semiurban Y
## 57 1 Semiurban Y
## 58 1 Rural N
## 59 1 Urban Y
## 60 1 Urban Y
## 61 1 Urban Y
## 62 1 Urban Y
## 63 0 Rural N
## 64 0 Rural N
## 65 0 Semiurban N
## 66 1 Semiurban N
## 67 0 Urban N
## 68 1 Urban Y
## 69 1 Urban Y
## 70 0 Semiurban N
## 71 1 Urban Y
## 72 1 Semiurban Y
## 73 1 Semiurban Y
## 74 0 Semiurban N
## 75 1 Semiurban Y
## 76 1 Urban N
## 77 1 Urban N
## 78 1 Urban N
## 79 0 Semiurban N
## 80 NA Semiurban Y
## 81 1 Semiurban Y
## 82 1 Semiurban Y
## 83 1 Urban N
## 84 NA Semiurban N
## 85 1 Urban Y
## 86 1 Semiurban Y
## 87 NA Semiurban Y
## 88 1 Semiurban Y
## 89 1 Urban Y
## 90 1 Semiurban Y
## 91 1 Semiurban Y
## 92 1 Semiurban Y
## 93 1 Urban Y
## 94 1 Semiurban Y
## 95 1 Semiurban Y
## 96 NA Urban N
## 97 1 Semiurban Y
## 98 1 Semiurban Y
## 99 1 Semiurban Y
## 100 1 Semiurban Y
## 101 1 Urban Y
## 102 1 Semiurban Y
## 103 1 Urban Y
## 104 1 Semiurban Y
## 105 1 Urban Y
## 106 1 Urban Y
## 107 1 Urban Y
## 108 1 Rural N
## 109 0 Urban N
## 110 1 Semiurban Y
## 111 1 Urban Y
## 112 1 Semiurban Y
## 113 0 Rural N
## 114 1 Semiurban Y
## 115 1 Semiurban Y
## 116 1 Rural Y
## 117 1 Semiurban Y
## 118 NA Urban Y
## 119 1 Rural N
## 120 1 Urban Y
## 121 1 Rural Y
## 122 1 Semiurban Y
## 123 0 Semiurban Y
## 124 1 Semiurban Y
## 125 1 Rural Y
## 126 NA Rural Y
## 127 1 Rural Y
## 128 1 Rural Y
## 129 0 Urban N
## 130 NA Rural N
## 131 NA Urban Y
## 132 1 Urban Y
## 133 1 Semiurban Y
## 134 1 Semiurban Y
## 135 1 Semiurban Y
## 136 1 Semiurban N
## 137 1 Rural N
## 138 1 Urban Y
## 139 0 Semiurban N
## 140 1 Rural N
## 141 1 Rural N
## 142 1 Urban Y
## 143 1 Semiurban Y
## 144 1 Semiurban Y
## 145 1 Urban Y
## 146 1 Semiurban Y
## 147 1 Urban Y
## 148 1 Urban Y
## 149 1 Rural N
## 150 1 Semiurban Y
## 151 0 Rural N
## 152 1 Rural Y
## 153 1 Urban N
## 154 1 Rural N
## 155 1 Urban Y
## 156 0 Semiurban Y
## 157 NA Rural Y
## 158 1 Urban Y
## 159 1 Rural Y
## 160 1 Semiurban Y
## 161 1 Semiurban Y
## 162 1 Urban N
## 163 0 Semiurban N
## 164 1 Rural Y
## 165 1 Urban Y
## 166 1 Rural Y
## 167 1 Rural N
## 168 1 Rural Y
## 169 0 Semiurban N
## 170 1 Semiurban Y
## 171 1 Rural Y
## 172 1 Urban Y
## 173 1 Rural N
## 174 1 Semiurban Y
## 175 1 Semiurban N
## 176 1 Rural Y
## 177 1 Rural Y
## 178 0 Semiurban N
## 179 1 Semiurban Y
## 180 0 Urban N
## 181 0 Urban N
## 182 NA Rural N
## 183 1 Semiurban Y
## 184 1 Semiurban N
## 185 1 Semiurban Y
## 186 1 Semiurban Y
## 187 0 Rural N
## 188 NA Rural Y
## 189 1 Rural Y
## 190 1 Rural Y
## 191 1 Rural Y
## 192 1 Semiurban N
## 193 1 Urban N
## 194 1 Semiurban Y
## 195 1 Rural Y
## 196 1 Semiurban N
## 197 1 Rural Y
## 198 1 Urban Y
## 199 NA Semiurban Y
## 200 1 Urban N
## 201 1 Semiurban Y
## 202 0 Semiurban Y
## 203 1 Urban N
## 204 1 Urban Y
## 205 1 Semiurban Y
## 206 1 Semiurban Y
## 207 1 Urban Y
## 208 1 Rural Y
## 209 1 Urban Y
## 210 1 Semiurban N
## 211 1 Semiurban N
## 212 0 Semiurban N
## 213 1 Urban Y
## 214 1 Rural Y
## 215 1 Urban Y
## 216 1 Semiurban Y
## 217 1 Rural N
## 218 1 Semiurban Y
## 219 0 Semiurban N
## 220 NA Semiurban Y
## 221 0 Urban N
## 222 1 Semiurban Y
## 223 1 Semiurban Y
## 224 1 Semiurban Y
## 225 1 Semiurban Y
## 226 1 Rural N
## 227 1 Urban N
## 228 1 Semiurban Y
## 229 1 Semiurban Y
## 230 1 Rural Y
## 231 1 Semiurban Y
## 232 1 Rural Y
## 233 1 Rural Y
## 234 1 Semiurban Y
## 235 1 Semiurban Y
## 236 1 Rural Y
## 237 NA Urban N
## 238 NA Urban Y
## 239 1 Rural Y
## 240 1 Semiurban Y
## 241 1 Rural Y
## 242 1 Urban N
## 243 1 Urban Y
## 244 1 Rural Y
## 245 1 Semiurban Y
## 246 1 Urban N
## 247 1 Urban Y
## 248 1 Urban Y
## 249 1 Semiurban Y
## 250 1 Urban Y
## 251 0 Semiurban N
## 252 1 Urban N
## 253 1 Rural Y
## 254 1 Semiurban Y
## 255 0 Urban N
## 256 1 Rural Y
## 257 0 Rural N
## 258 1 Urban N
## 259 1 Rural N
## 260 NA Semiurban N
## 261 NA Urban Y
## 262 1 Semiurban Y
## 263 1 Semiurban N
## 264 1 Rural Y
## 265 1 Semiurban Y
## 266 1 Rural Y
## 267 1 Semiurban Y
## 268 0 Urban Y
## 269 1 Rural N
## 270 1 Urban Y
## 271 1 Urban Y
## 272 1 Urban Y
## 273 1 Rural Y
## 274 1 Semiurban Y
## 275 1 Semiurban Y
## 276 1 Semiurban Y
## 277 1 Semiurban Y
## 278 1 Urban Y
## 279 1 Semiurban Y
## 280 NA Rural Y
## 281 0 Urban N
## 282 1 Semiurban Y
## 283 1 Urban Y
## 284 1 Urban Y
## 285 1 Rural N
## 286 1 Rural Y
## 287 1 Semiurban N
## 288 1 Rural Y
## 289 1 Semiurban Y
## 290 1 Rural Y
## 291 1 Rural Y
## 292 0 Semiurban N
## 293 1 Urban Y
## 294 0 Urban N
## 295 1 Semiurban Y
## 296 1 Urban Y
## 297 1 Semiurban Y
## 298 1 Urban Y
## 299 1 Rural N
## 300 1 Urban N
## 301 0 Urban N
## 302 1 Semiurban Y
## 303 1 Rural Y
## 304 1 Urban Y
## 305 1 Rural Y
## 306 1 Urban N
## 307 1 Rural Y
## 308 0 Urban N
## 309 1 Rural N
## 310 NA Rural Y
## 311 1 Semiurban Y
## 312 1 Semiurban Y
## 313 1 Rural Y
## 314 NA Rural Y
## 315 1 Rural N
## 316 1 Urban Y
## 317 1 Semiurban Y
## 318 NA Urban Y
## 319 NA Semiurban Y
## 320 1 Rural N
## 321 1 Semiurban Y
## 322 1 Semiurban Y
## 323 1 Rural Y
## 324 NA Rural Y
## 325 1 Rural Y
## 326 0 Rural N
## 327 0 Rural Y
## 328 1 Semiurban Y
## 329 1 Urban N
## 330 1 Urban Y
## 331 1 Urban Y
## 332 1 Semiurban Y
## 333 1 Urban Y
## 334 1 Urban Y
## 335 1 Urban Y
## 336 1 Semiurban Y
## 337 1 Rural Y
## 338 1 Rural Y
## 339 0 Urban N
## 340 1 Semiurban Y
## 341 1 Rural N
## 342 1 Rural N
## 343 1 Urban Y
## 344 1 Semiurban Y
## 345 1 Rural Y
## 346 1 Semiurban Y
## 347 0 Rural N
## 348 1 Urban Y
## 349 NA Semiurban Y
## 350 1 Rural Y
## 351 1 Semiurban Y
## 352 1 Rural N
## 353 1 Rural Y
## 354 0 Rural N
## 355 1 Semiurban Y
## 356 1 Urban Y
## 357 1 Rural Y
## 358 1 Urban N
## 359 0 Urban N
## 360 1 Semiurban Y
## 361 1 Semiurban N
## 362 1 Semiurban Y
## 363 1 Urban Y
## 364 NA Urban Y
## 365 1 Rural Y
## 366 1 Rural N
## 367 1 Semiurban N
## 368 0 Rural N
## 369 1 Semiurban Y
## 370 1 Rural N
## 371 1 Semiurban Y
## 372 1 Semiurban Y
## 373 1 Rural Y
## 374 0 Urban N
## 375 1 Urban Y
## 376 1 Urban Y
## 377 1 Rural Y
## 378 NA Semiurban Y
## 379 1 Urban N
## 380 1 Urban Y
## 381 1 Semiurban Y
## 382 1 Semiurban Y
## 383 1 Urban Y
## 384 1 Urban Y
## 385 1 Urban N
## 386 1 Urban Y
## 387 1 Semiurban Y
## 388 0 Urban N
## 389 1 Urban Y
## 390 1 Rural Y
## 391 1 Rural Y
## 392 1 Rural Y
## 393 NA Urban Y
## 394 1 Semiurban Y
## 395 1 Urban Y
## 396 NA Semiurban Y
## 397 0 Urban N
## 398 1 Urban Y
## 399 1 Rural Y
## 400 0 Semiurban N
## 401 0 Urban N
## 402 1 Rural N
## 403 1 Semiurban Y
## 404 1 Semiurban Y
## 405 1 Rural N
## 406 1 Semiurban Y
## 407 1 Urban Y
## 408 1 Rural Y
## 409 0 Semiurban N
## 410 0 Rural N
## 411 1 Semiurban N
## 412 NA Urban Y
## 413 0 Rural N
## 414 1 Rural Y
## 415 0 Semiurban N
## 416 1 Urban Y
## 417 1 Urban N
## 418 1 Urban N
## 419 1 Rural Y
## 420 1 Semiurban Y
## 421 1 Rural Y
## 422 0 Urban N
## 423 1 Urban Y
## 424 0 Urban N
## 425 1 Semiurban Y
## 426 1 Rural Y
## 427 1 Rural N
## 428 1 Semiurban Y
## 429 1 Rural Y
## 430 1 Urban Y
## 431 1 Semiurban Y
## 432 0 Rural N
## 433 1 Semiurban Y
## 434 1 Semiurban Y
## 435 1 Urban Y
## 436 1 Semiurban Y
## 437 1 Semiurban Y
## 438 1 Urban Y
## 439 0 Urban N
## 440 1 Rural Y
## 441 1 Semiurban Y
## 442 1 Rural Y
## 443 1 Semiurban Y
## 444 1 Semiurban Y
## 445 NA Rural Y
## 446 1 Rural Y
## 447 1 Rural Y
## 448 1 Rural N
## 449 0 Rural N
## 450 NA Semiurban N
## 451 0 Rural N
## 452 NA Urban Y
## 453 0 Rural N
## 454 0 Rural Y
## 455 1 Semiurban Y
## 456 1 Semiurban Y
## 457 1 Urban Y
## 458 1 Urban N
## 459 1 Rural Y
## 460 1 Semiurban N
## 461 NA Semiurban Y
## 462 1 Urban Y
## 463 1 Rural Y
## 464 1 Semiurban Y
## 465 0 Semiurban N
## 466 1 Rural Y
## 467 0 Urban N
## 468 1 Semiurban Y
## 469 1 Semiurban Y
## 470 1 Urban N
## 471 1 Semiurban Y
## 472 0 Rural N
## 473 1 Semiurban Y
## 474 NA Urban Y
## 475 1 Rural Y
## 476 1 Rural Y
## 477 1 Semiurban Y
## 478 0 Semiurban N
## 479 1 Semiurban Y
## 480 1 Urban N
## 481 1 Rural Y
## 482 1 Rural Y
## 483 1 Semiurban Y
## 484 1 Semiurban Y
## 485 1 Semiurban Y
## 486 1 Rural Y
## 487 0 Rural N
## 488 1 Urban N
## 489 1 Semiurban Y
## 490 1 Urban N
## 491 NA Semiurban Y
## 492 NA Urban Y
## 493 1 Rural Y
## 494 1 Semiurban Y
## 495 0 Rural N
## 496 1 Semiurban Y
## 497 1 Rural Y
## 498 NA Urban Y
## 499 1 Semiurban Y
## 500 0 Rural N
## 501 1 Rural Y
## 502 1 Semiurban Y
## 503 1 Semiurban Y
## 504 NA Rural N
## 505 1 Semiurban Y
## 506 1 Rural Y
## 507 NA Urban Y
## 508 1 Urban N
## 509 1 Urban Y
## 510 1 Urban Y
## 511 1 Rural N
## 512 1 Semiurban Y
## 513 1 Urban Y
## 514 1 Semiurban N
## 515 1 Rural N
## 516 1 Rural Y
## 517 1 Semiurban Y
## 518 0 Semiurban N
## 519 1 Semiurban N
## 520 1 Rural N
## 521 1 Semiurban Y
## 522 1 Semiurban Y
## 523 1 Rural Y
## 524 1 Rural Y
## 525 1 Semiurban N
## 526 1 Rural Y
## 527 1 Semiurban Y
## 528 0 Semiurban Y
## 529 1 Semiurban Y
## 530 1 Semiurban Y
## 531 NA Rural Y
## 532 1 Urban Y
## 533 0 Rural N
## 534 NA Semiurban N
## 535 1 Urban Y
## 536 1 Rural Y
## 537 1 Urban Y
## 538 1 Semiurban Y
## 539 1 Rural N
## 540 1 Rural Y
## 541 1 Semiurban Y
## 542 0 Semiurban N
## 543 1 Semiurban Y
## 544 1 Urban Y
## 545 NA Semiurban Y
## 546 1 Rural Y
## 547 1 Semiurban N
## 548 1 Rural Y
## 549 0 Semiurban N
## 550 1 Rural Y
## 551 0 Rural N
## 552 1 Rural Y
## 553 1 Urban Y
## 554 0 Urban N
## 555 0 Rural N
## 556 1 Semiurban Y
## 557 NA Urban Y
## 558 1 Semiurban Y
## 559 1 Semiurban Y
## 560 1 Semiurban Y
## 561 1 Semiurban Y
## 562 1 Semiurban Y
## 563 1 Rural Y
## 564 1 Semiurban Y
## 565 0 Urban N
## 566 NA Rural Y
## 567 1 Urban Y
## 568 0 Rural N
## 569 1 Urban N
## 570 0 Urban N
## 571 1 Urban Y
## 572 0 Urban N
## 573 1 Urban Y
## 574 1 Semiurban N
## 575 1 Semiurban N
## 576 1 Urban Y
## 577 0 Semiurban N
## 578 1 Urban Y
## 579 1 Rural Y
## 580 1 Urban Y
## 581 1 Semiurban Y
## 582 1 Urban N
## 583 1 Semiurban Y
## 584 NA Rural N
## 585 0 Rural N
## 586 1 Rural N
## 587 1 Urban Y
## 588 1 Semiurban Y
## 589 1 Semiurban Y
## 590 0 Semiurban N
## 591 1 Semiurban Y
## 592 1 Semiurban N
## 593 1 Semiurban Y
## 594 1 Rural Y
## 595 1 Urban Y
## 596 1 Rural Y
## 597 1 Rural N
## 598 0 Semiurban N
## 599 1 Rural Y
## 600 1 Urban Y
## 601 NA Urban N
## 602 1 Rural Y
## 603 1 Urban Y
## 604 1 Rural Y
## 605 1 Semiurban Y
## 606 1 Urban N
## 607 1 Semiurban Y
## 608 1 Rural Y
## 609 1 Rural Y
## 610 1 Rural Y
## 611 1 Rural Y
## 612 1 Urban Y
## 613 1 Urban Y
## 614 0 Semiurban N2.2 Penanganan Data Hilang
Melihat sebaran NA pada setiap kolom.
apply(is.na(dat),2,which)## $Loan_ID
## integer(0)
##
## $Gender
## integer(0)
##
## $Married
## integer(0)
##
## $Dependents
## integer(0)
##
## $Education
## integer(0)
##
## $Self_Employed
## integer(0)
##
## $ApplicantIncome
## integer(0)
##
## $CoapplicantIncome
## integer(0)
##
## $LoanAmount
## [1] 1 36 64 82 96 103 104 114 128 203 285 306 323 339 388 436 438 480 525
## [20] 551 552 606
##
## $Loan_Amount_Term
## [1] 20 37 45 46 74 113 166 198 224 233 336 368 422 424
##
## $Credit_History
## [1] 17 25 31 43 80 84 87 96 118 126 130 131 157 182 188 199 220 237 238
## [20] 260 261 280 310 314 318 319 324 349 364 378 393 396 412 445 450 452 461 474
## [39] 491 492 498 504 507 531 534 545 557 566 584 601
##
## $Property_Area
## integer(0)
##
## $Loan_Status
## integer(0)sum(is.na(dat$Loan_Amount_Term))## [1] 14sum(is.na(dat$Credit_History))## [1] 50sum(is.na(dat$LoanAmount))## [1] 22Mengecek jumlah keselruhan NA.
sum(is.na(dat))## [1] 86Setelah di cek kembali jumlah Na pada tabel sebanyak 86. Pada output diatas NA berada pada kolom Loan_Amount_Term, Loan_Amount, dan Credit_History.
Kemudian akan di-replace dengan nilai 0 pada data yang bernilai NA.
dat[is.na(dat)]<-0
dat## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP001002 Male No 0 Graduate No
## 2 LP001003 Male Yes 1 Graduate No
## 3 LP001005 Male Yes 0 Graduate Yes
## 4 LP001006 Male Yes 0 Not Graduate No
## 5 LP001008 Male No 0 Graduate No
## 6 LP001011 Male Yes 2 Graduate Yes
## 7 LP001013 Male Yes 0 Not Graduate No
## 8 LP001014 Male Yes 3+ Graduate No
## 9 LP001018 Male Yes 2 Graduate No
## 10 LP001020 Male Yes 1 Graduate No
## 11 LP001024 Male Yes 2 Graduate No
## 12 LP001027 Male Yes 2 Graduate
## 13 LP001028 Male Yes 2 Graduate No
## 14 LP001029 Male No 0 Graduate No
## 15 LP001030 Male Yes 2 Graduate No
## 16 LP001032 Male No 0 Graduate No
## 17 LP001034 Male No 1 Not Graduate No
## 18 LP001036 Female No 0 Graduate No
## 19 LP001038 Male Yes 0 Not Graduate No
## 20 LP001041 Male Yes 0 Graduate
## 21 LP001043 Male Yes 0 Not Graduate No
## 22 LP001046 Male Yes 1 Graduate No
## 23 LP001047 Male Yes 0 Not Graduate No
## 24 LP001050 Yes 2 Not Graduate No
## 25 LP001052 Male Yes 1 Graduate
## 26 LP001066 Male Yes 0 Graduate Yes
## 27 LP001068 Male Yes 0 Graduate No
## 28 LP001073 Male Yes 2 Not Graduate No
## 29 LP001086 Male No 0 Not Graduate No
## 30 LP001087 Female No 2 Graduate
## 31 LP001091 Male Yes 1 Graduate
## 32 LP001095 Male No 0 Graduate No
## 33 LP001097 Male No 1 Graduate Yes
## 34 LP001098 Male Yes 0 Graduate No
## 35 LP001100 Male No 3+ Graduate No
## 36 LP001106 Male Yes 0 Graduate No
## 37 LP001109 Male Yes 0 Graduate No
## 38 LP001112 Female Yes 0 Graduate No
## 39 LP001114 Male No 0 Graduate No
## 40 LP001116 Male No 0 Not Graduate No
## 41 LP001119 Male No 0 Graduate No
## 42 LP001120 Male No 0 Graduate No
## 43 LP001123 Male Yes 0 Graduate No
## 44 LP001131 Male Yes 0 Graduate No
## 45 LP001136 Male Yes 0 Not Graduate Yes
## 46 LP001137 Female No 0 Graduate No
## 47 LP001138 Male Yes 1 Graduate No
## 48 LP001144 Male Yes 0 Graduate No
## 49 LP001146 Female Yes 0 Graduate No
## 50 LP001151 Female No 0 Graduate No
## 51 LP001155 Female Yes 0 Not Graduate No
## 52 LP001157 Female No 0 Graduate No
## 53 LP001164 Female No 0 Graduate No
## 54 LP001179 Male Yes 2 Graduate No
## 55 LP001186 Female Yes 1 Graduate Yes
## 56 LP001194 Male Yes 2 Graduate No
## 57 LP001195 Male Yes 0 Graduate No
## 58 LP001197 Male Yes 0 Graduate No
## 59 LP001198 Male Yes 1 Graduate No
## 60 LP001199 Male Yes 2 Not Graduate No
## 61 LP001205 Male Yes 0 Graduate No
## 62 LP001206 Male Yes 3+ Graduate No
## 63 LP001207 Male Yes 0 Not Graduate Yes
## 64 LP001213 Male Yes 1 Graduate No
## 65 LP001222 Female No 0 Graduate No
## 66 LP001225 Male Yes 0 Graduate No
## 67 LP001228 Male No 0 Not Graduate No
## 68 LP001233 Male Yes 1 Graduate No
## 69 LP001238 Male Yes 3+ Not Graduate Yes
## 70 LP001241 Female No 0 Graduate No
## 71 LP001243 Male Yes 0 Graduate No
## 72 LP001245 Male Yes 2 Not Graduate Yes
## 73 LP001248 Male No 0 Graduate No
## 74 LP001250 Male Yes 3+ Not Graduate No
## 75 LP001253 Male Yes 3+ Graduate Yes
## 76 LP001255 Male No 0 Graduate No
## 77 LP001256 Male No 0 Graduate No
## 78 LP001259 Male Yes 1 Graduate Yes
## 79 LP001263 Male Yes 3+ Graduate No
## 80 LP001264 Male Yes 3+ Not Graduate Yes
## 81 LP001265 Female No 0 Graduate No
## 82 LP001266 Male Yes 1 Graduate Yes
## 83 LP001267 Female Yes 2 Graduate No
## 84 LP001273 Male Yes 0 Graduate No
## 85 LP001275 Male Yes 1 Graduate No
## 86 LP001279 Male No 0 Graduate No
## 87 LP001280 Male Yes 2 Not Graduate No
## 88 LP001282 Male Yes 0 Graduate No
## 89 LP001289 Male No 0 Graduate No
## 90 LP001310 Male Yes 0 Graduate No
## 91 LP001316 Male Yes 0 Graduate No
## 92 LP001318 Male Yes 2 Graduate No
## 93 LP001319 Male Yes 2 Not Graduate No
## 94 LP001322 Male No 0 Graduate No
## 95 LP001325 Male No 0 Not Graduate No
## 96 LP001326 Male No 0 Graduate
## 97 LP001327 Female Yes 0 Graduate No
## 98 LP001333 Male Yes 0 Graduate No
## 99 LP001334 Male Yes 0 Not Graduate No
## 100 LP001343 Male Yes 0 Graduate No
## 101 LP001345 Male Yes 2 Not Graduate No
## 102 LP001349 Male No 0 Graduate No
## 103 LP001350 Male Yes Graduate No
## 104 LP001356 Male Yes 0 Graduate No
## 105 LP001357 Male Graduate No
## 106 LP001367 Male Yes 1 Graduate No
## 107 LP001369 Male Yes 2 Graduate No
## 108 LP001370 Male No 0 Not Graduate
## 109 LP001379 Male Yes 2 Graduate No
## 110 LP001384 Male Yes 3+ Not Graduate No
## 111 LP001385 Male No 0 Graduate No
## 112 LP001387 Female Yes 0 Graduate
## 113 LP001391 Male Yes 0 Not Graduate No
## 114 LP001392 Female No 1 Graduate Yes
## 115 LP001398 Male No 0 Graduate
## 116 LP001401 Male Yes 1 Graduate No
## 117 LP001404 Female Yes 0 Graduate No
## 118 LP001405 Male Yes 1 Graduate No
## 119 LP001421 Male Yes 0 Graduate No
## 120 LP001422 Female No 0 Graduate No
## 121 LP001426 Male Yes Graduate No
## 122 LP001430 Female No 0 Graduate No
## 123 LP001431 Female No 0 Graduate No
## 124 LP001432 Male Yes 2 Graduate No
## 125 LP001439 Male Yes 0 Not Graduate No
## 126 LP001443 Female No 0 Graduate No
## 127 LP001448 Yes 3+ Graduate No
## 128 LP001449 Male No 0 Graduate No
## 129 LP001451 Male Yes 1 Graduate Yes
## 130 LP001465 Male Yes 0 Graduate No
## 131 LP001469 Male No 0 Graduate Yes
## 132 LP001473 Male No 0 Graduate No
## 133 LP001478 Male No 0 Graduate No
## 134 LP001482 Male Yes 0 Graduate Yes
## 135 LP001487 Male No 0 Graduate No
## 136 LP001488 Male Yes 3+ Graduate No
## 137 LP001489 Female Yes 0 Graduate No
## 138 LP001491 Male Yes 2 Graduate Yes
## 139 LP001492 Male No 0 Graduate No
## 140 LP001493 Male Yes 2 Not Graduate No
## 141 LP001497 Male Yes 2 Graduate No
## 142 LP001498 Male No 0 Graduate No
## 143 LP001504 Male No 0 Graduate Yes
## 144 LP001507 Male Yes 0 Graduate No
## 145 LP001508 Male Yes 2 Graduate No
## 146 LP001514 Female Yes 0 Graduate No
## 147 LP001516 Female Yes 2 Graduate No
## 148 LP001518 Male Yes 1 Graduate No
## 149 LP001519 Female No 0 Graduate No
## 150 LP001520 Male Yes 0 Graduate No
## 151 LP001528 Male No 0 Graduate No
## 152 LP001529 Male Yes 0 Graduate Yes
## 153 LP001531 Male No 0 Graduate No
## 154 LP001532 Male Yes 2 Not Graduate No
## 155 LP001535 Male No 0 Graduate No
## 156 LP001536 Male Yes 3+ Graduate No
## 157 LP001541 Male Yes 1 Graduate No
## 158 LP001543 Male Yes 1 Graduate No
## 159 LP001546 Male No 0 Graduate
## 160 LP001552 Male Yes 0 Graduate No
## 161 LP001560 Male Yes 0 Not Graduate No
## 162 LP001562 Male Yes 0 Graduate No
## 163 LP001565 Male Yes 1 Graduate No
## 164 LP001570 Male Yes 2 Graduate No
## 165 LP001572 Male Yes 0 Graduate No
## 166 LP001574 Male Yes 0 Graduate No
## 167 LP001577 Female Yes 0 Graduate No
## 168 LP001578 Male Yes 0 Graduate No
## 169 LP001579 Male No 0 Graduate No
## 170 LP001580 Male Yes 2 Graduate No
## 171 LP001581 Male Yes 0 Not Graduate
## 172 LP001585 Yes 3+ Graduate No
## 173 LP001586 Male Yes 3+ Not Graduate No
## 174 LP001594 Male Yes 0 Graduate No
## 175 LP001603 Male Yes 0 Not Graduate Yes
## 176 LP001606 Male Yes 0 Graduate No
## 177 LP001608 Male Yes 2 Graduate No
## 178 LP001610 Male Yes 3+ Graduate No
## 179 LP001616 Male Yes 1 Graduate No
## 180 LP001630 Male No 0 Not Graduate No
## 181 LP001633 Male Yes 1 Graduate No
## 182 LP001634 Male No 0 Graduate No
## 183 LP001636 Male Yes 0 Graduate No
## 184 LP001637 Male Yes 1 Graduate No
## 185 LP001639 Female Yes 0 Graduate No
## 186 LP001640 Male Yes 0 Graduate Yes
## 187 LP001641 Male Yes 1 Graduate Yes
## 188 LP001643 Male Yes 0 Graduate No
## 189 LP001644 Yes 0 Graduate Yes
## 190 LP001647 Male Yes 0 Graduate No
## 191 LP001653 Male No 0 Not Graduate No
## 192 LP001656 Male No 0 Graduate No
## 193 LP001657 Male Yes 0 Not Graduate No
## 194 LP001658 Male No 0 Graduate No
## 195 LP001664 Male No 0 Graduate No
## 196 LP001665 Male Yes 1 Graduate No
## 197 LP001666 Male No 0 Graduate No
## 198 LP001669 Female No 0 Not Graduate No
## 199 LP001671 Female Yes 0 Graduate No
## 200 LP001673 Male No 0 Graduate Yes
## 201 LP001674 Male Yes 1 Not Graduate No
## 202 LP001677 Male No 2 Graduate No
## 203 LP001682 Male Yes 3+ Not Graduate No
## 204 LP001688 Male Yes 1 Not Graduate No
## 205 LP001691 Male Yes 2 Not Graduate No
## 206 LP001692 Female No 0 Not Graduate No
## 207 LP001693 Female No 0 Graduate No
## 208 LP001698 Male No 0 Not Graduate No
## 209 LP001699 Male No 0 Graduate No
## 210 LP001702 Male No 0 Graduate No
## 211 LP001708 Female No 0 Graduate No
## 212 LP001711 Male Yes 3+ Graduate No
## 213 LP001713 Male Yes 1 Graduate Yes
## 214 LP001715 Male Yes 3+ Not Graduate Yes
## 215 LP001716 Male Yes 0 Graduate No
## 216 LP001720 Male Yes 3+ Not Graduate No
## 217 LP001722 Male Yes 0 Graduate No
## 218 LP001726 Male Yes 0 Graduate No
## 219 LP001732 Male Yes 2 Graduate
## 220 LP001734 Female Yes 2 Graduate No
## 221 LP001736 Male Yes 0 Graduate No
## 222 LP001743 Male Yes 2 Graduate No
## 223 LP001744 Male No 0 Graduate No
## 224 LP001749 Male Yes 0 Graduate No
## 225 LP001750 Male Yes 0 Graduate No
## 226 LP001751 Male Yes 0 Graduate No
## 227 LP001754 Male Yes Not Graduate Yes
## 228 LP001758 Male Yes 2 Graduate No
## 229 LP001760 Male Graduate No
## 230 LP001761 Male No 0 Graduate Yes
## 231 LP001765 Male Yes 1 Graduate No
## 232 LP001768 Male Yes 0 Graduate
## 233 LP001770 Male No 0 Not Graduate No
## 234 LP001776 Female No 0 Graduate No
## 235 LP001778 Male Yes 1 Graduate No
## 236 LP001784 Male Yes 1 Graduate No
## 237 LP001786 Male Yes 0 Graduate
## 238 LP001788 Female No 0 Graduate Yes
## 239 LP001790 Female No 1 Graduate No
## 240 LP001792 Male Yes 1 Graduate No
## 241 LP001798 Male Yes 2 Graduate No
## 242 LP001800 Male Yes 1 Not Graduate No
## 243 LP001806 Male No 0 Graduate No
## 244 LP001807 Male Yes 2 Graduate Yes
## 245 LP001811 Male Yes 0 Not Graduate No
## 246 LP001813 Male No 0 Graduate Yes
## 247 LP001814 Male Yes 2 Graduate No
## 248 LP001819 Male Yes 1 Not Graduate No
## 249 LP001824 Male Yes 1 Graduate No
## 250 LP001825 Male Yes 0 Graduate No
## 251 LP001835 Male Yes 0 Not Graduate No
## 252 LP001836 Female No 2 Graduate No
## 253 LP001841 Male No 0 Not Graduate Yes
## 254 LP001843 Male Yes 1 Not Graduate No
## 255 LP001844 Male No 0 Graduate Yes
## 256 LP001846 Female No 3+ Graduate No
## 257 LP001849 Male No 0 Not Graduate No
## 258 LP001854 Male Yes 3+ Graduate No
## 259 LP001859 Male Yes 0 Graduate No
## 260 LP001864 Male Yes 3+ Not Graduate No
## 261 LP001865 Male Yes 1 Graduate No
## 262 LP001868 Male No 0 Graduate No
## 263 LP001870 Female No 1 Graduate No
## 264 LP001871 Female No 0 Graduate No
## 265 LP001872 Male No 0 Graduate Yes
## 266 LP001875 Male No 0 Graduate No
## 267 LP001877 Male Yes 2 Graduate No
## 268 LP001882 Male Yes 3+ Graduate No
## 269 LP001883 Female No 0 Graduate
## 270 LP001884 Female No 1 Graduate No
## 271 LP001888 Female No 0 Graduate No
## 272 LP001891 Male Yes 0 Graduate No
## 273 LP001892 Male No 0 Graduate No
## 274 LP001894 Male Yes 0 Graduate No
## 275 LP001896 Male Yes 2 Graduate No
## 276 LP001900 Male Yes 1 Graduate No
## 277 LP001903 Male Yes 0 Graduate No
## 278 LP001904 Male Yes 0 Graduate No
## 279 LP001907 Male Yes 0 Graduate No
## 280 LP001908 Female Yes 0 Not Graduate No
## 281 LP001910 Male No 1 Not Graduate Yes
## 282 LP001914 Male Yes 0 Graduate No
## 283 LP001915 Male Yes 2 Graduate No
## 284 LP001917 Female No 0 Graduate No
## 285 LP001922 Male Yes 0 Graduate No
## 286 LP001924 Male No 0 Graduate No
## 287 LP001925 Female No 0 Graduate Yes
## 288 LP001926 Male Yes 0 Graduate No
## 289 LP001931 Female No 0 Graduate No
## 290 LP001935 Male No 0 Graduate No
## 291 LP001936 Male Yes 0 Graduate No
## 292 LP001938 Male Yes 2 Graduate No
## 293 LP001940 Male Yes 2 Graduate No
## 294 LP001945 Female No Graduate No
## 295 LP001947 Male Yes 0 Graduate No
## 296 LP001949 Male Yes 3+ Graduate
## 297 LP001953 Male Yes 1 Graduate No
## 298 LP001954 Female Yes 1 Graduate No
## 299 LP001955 Female No 0 Graduate No
## 300 LP001963 Male Yes 1 Graduate No
## 301 LP001964 Male Yes 0 Not Graduate No
## 302 LP001972 Male Yes Not Graduate No
## 303 LP001974 Female No 0 Graduate No
## 304 LP001977 Male Yes 1 Graduate No
## 305 LP001978 Male No 0 Graduate No
## 306 LP001990 Male No 0 Not Graduate No
## 307 LP001993 Female No 0 Graduate No
## 308 LP001994 Female No 0 Graduate No
## 309 LP001996 Male No 0 Graduate No
## 310 LP001998 Male Yes 2 Not Graduate No
## 311 LP002002 Female No 0 Graduate No
## 312 LP002004 Male No 0 Not Graduate No
## 313 LP002006 Female No 0 Graduate No
## 314 LP002008 Male Yes 2 Graduate Yes
## 315 LP002024 Yes 0 Graduate No
## 316 LP002031 Male Yes 1 Not Graduate No
## 317 LP002035 Male Yes 2 Graduate No
## 318 LP002036 Male Yes 0 Graduate No
## 319 LP002043 Female No 1 Graduate No
## 320 LP002050 Male Yes 1 Graduate Yes
## 321 LP002051 Male Yes 0 Graduate No
## 322 LP002053 Male Yes 3+ Graduate No
## 323 LP002054 Male Yes 2 Not Graduate No
## 324 LP002055 Female No 0 Graduate No
## 325 LP002065 Male Yes 3+ Graduate No
## 326 LP002067 Male Yes 1 Graduate Yes
## 327 LP002068 Male No 0 Graduate No
## 328 LP002082 Male Yes 0 Graduate Yes
## 329 LP002086 Female Yes 0 Graduate No
## 330 LP002087 Female No 0 Graduate No
## 331 LP002097 Male No 1 Graduate No
## 332 LP002098 Male No 0 Graduate No
## 333 LP002100 Male No Graduate No
## 334 LP002101 Male Yes 0 Graduate
## 335 LP002103 Yes 1 Graduate Yes
## 336 LP002106 Male Yes Graduate Yes
## 337 LP002110 Male Yes 1 Graduate
## 338 LP002112 Male Yes 2 Graduate Yes
## 339 LP002113 Female No 3+ Not Graduate No
## 340 LP002114 Female No 0 Graduate No
## 341 LP002115 Male Yes 3+ Not Graduate No
## 342 LP002116 Female No 0 Graduate No
## 343 LP002119 Male Yes 1 Not Graduate No
## 344 LP002126 Male Yes 3+ Not Graduate No
## 345 LP002128 Male Yes 2 Graduate
## 346 LP002129 Male Yes 0 Graduate No
## 347 LP002130 Male Yes Not Graduate No
## 348 LP002131 Male Yes 2 Not Graduate No
## 349 LP002137 Male Yes 0 Graduate No
## 350 LP002138 Male Yes 0 Graduate No
## 351 LP002139 Male Yes 0 Graduate No
## 352 LP002140 Male No 0 Graduate No
## 353 LP002141 Male Yes 3+ Graduate No
## 354 LP002142 Female Yes 0 Graduate Yes
## 355 LP002143 Female Yes 0 Graduate No
## 356 LP002144 Female No Graduate No
## 357 LP002149 Male Yes 2 Graduate No
## 358 LP002151 Male Yes 1 Graduate No
## 359 LP002158 Male Yes 0 Not Graduate No
## 360 LP002160 Male Yes 3+ Graduate No
## 361 LP002161 Female No 1 Graduate No
## 362 LP002170 Male Yes 2 Graduate No
## 363 LP002175 Male Yes 0 Graduate No
## 364 LP002178 Male Yes 0 Graduate No
## 365 LP002180 Male No 0 Graduate Yes
## 366 LP002181 Male No 0 Not Graduate No
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## 449 3340 1710.00 150 360
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## 451 2309 1255.00 125 360
## 452 1958 1456.00 60 300
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## 455 7085 0.00 84 360
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## Credit_History Property_Area Loan_Status
## 1 1 Urban Y
## 2 1 Rural N
## 3 1 Urban Y
## 4 1 Urban Y
## 5 1 Urban Y
## 6 1 Urban Y
## 7 1 Urban Y
## 8 0 Semiurban N
## 9 1 Urban Y
## 10 1 Semiurban N
## 11 1 Urban Y
## 12 1 Urban Y
## 13 1 Urban Y
## 14 1 Rural N
## 15 1 Urban Y
## 16 1 Urban Y
## 17 0 Urban Y
## 18 0 Urban N
## 19 1 Rural N
## 20 1 Urban Y
## 21 0 Urban N
## 22 1 Urban Y
## 23 0 Semiurban N
## 24 0 Rural N
## 25 0 Semiurban N
## 26 1 Semiurban Y
## 27 1 Semiurban Y
## 28 1 Urban Y
## 29 1 Urban N
## 30 1 Semiurban Y
## 31 0 Urban N
## 32 1 Urban N
## 33 1 Rural N
## 34 1 Semiurban Y
## 35 1 Rural N
## 36 1 Urban Y
## 37 0 Urban N
## 38 1 Semiurban Y
## 39 1 Urban Y
## 40 1 Semiurban Y
## 41 1 Urban N
## 42 1 Urban Y
## 43 0 Urban Y
## 44 1 Semiurban Y
## 45 1 Urban Y
## 46 1 Urban Y
## 47 1 Urban Y
## 48 1 Urban Y
## 49 0 Urban N
## 50 1 Semiurban Y
## 51 1 Semiurban Y
## 52 1 Semiurban Y
## 53 1 Semiurban N
## 54 1 Urban N
## 55 0 Urban N
## 56 1 Semiurban Y
## 57 1 Semiurban Y
## 58 1 Rural N
## 59 1 Urban Y
## 60 1 Urban Y
## 61 1 Urban Y
## 62 1 Urban Y
## 63 0 Rural N
## 64 0 Rural N
## 65 0 Semiurban N
## 66 1 Semiurban N
## 67 0 Urban N
## 68 1 Urban Y
## 69 1 Urban Y
## 70 0 Semiurban N
## 71 1 Urban Y
## 72 1 Semiurban Y
## 73 1 Semiurban Y
## 74 0 Semiurban N
## 75 1 Semiurban Y
## 76 1 Urban N
## 77 1 Urban N
## 78 1 Urban N
## 79 0 Semiurban N
## 80 0 Semiurban Y
## 81 1 Semiurban Y
## 82 1 Semiurban Y
## 83 1 Urban N
## 84 0 Semiurban N
## 85 1 Urban Y
## 86 1 Semiurban Y
## 87 0 Semiurban Y
## 88 1 Semiurban Y
## 89 1 Urban Y
## 90 1 Semiurban Y
## 91 1 Semiurban Y
## 92 1 Semiurban Y
## 93 1 Urban Y
## 94 1 Semiurban Y
## 95 1 Semiurban Y
## 96 0 Urban N
## 97 1 Semiurban Y
## 98 1 Semiurban Y
## 99 1 Semiurban Y
## 100 1 Semiurban Y
## 101 1 Urban Y
## 102 1 Semiurban Y
## 103 1 Urban Y
## 104 1 Semiurban Y
## 105 1 Urban Y
## 106 1 Urban Y
## 107 1 Urban Y
## 108 1 Rural N
## 109 0 Urban N
## 110 1 Semiurban Y
## 111 1 Urban Y
## 112 1 Semiurban Y
## 113 0 Rural N
## 114 1 Semiurban Y
## 115 1 Semiurban Y
## 116 1 Rural Y
## 117 1 Semiurban Y
## 118 0 Urban Y
## 119 1 Rural N
## 120 1 Urban Y
## 121 1 Rural Y
## 122 1 Semiurban Y
## 123 0 Semiurban Y
## 124 1 Semiurban Y
## 125 1 Rural Y
## 126 0 Rural Y
## 127 1 Rural Y
## 128 1 Rural Y
## 129 0 Urban N
## 130 0 Rural N
## 131 0 Urban Y
## 132 1 Urban Y
## 133 1 Semiurban Y
## 134 1 Semiurban Y
## 135 1 Semiurban Y
## 136 1 Semiurban N
## 137 1 Rural N
## 138 1 Urban Y
## 139 0 Semiurban N
## 140 1 Rural N
## 141 1 Rural N
## 142 1 Urban Y
## 143 1 Semiurban Y
## 144 1 Semiurban Y
## 145 1 Urban Y
## 146 1 Semiurban Y
## 147 1 Urban Y
## 148 1 Urban Y
## 149 1 Rural N
## 150 1 Semiurban Y
## 151 0 Rural N
## 152 1 Rural Y
## 153 1 Urban N
## 154 1 Rural N
## 155 1 Urban Y
## 156 0 Semiurban Y
## 157 0 Rural Y
## 158 1 Urban Y
## 159 1 Rural Y
## 160 1 Semiurban Y
## 161 1 Semiurban Y
## 162 1 Urban N
## 163 0 Semiurban N
## 164 1 Rural Y
## 165 1 Urban Y
## 166 1 Rural Y
## 167 1 Rural N
## 168 1 Rural Y
## 169 0 Semiurban N
## 170 1 Semiurban Y
## 171 1 Rural Y
## 172 1 Urban Y
## 173 1 Rural N
## 174 1 Semiurban Y
## 175 1 Semiurban N
## 176 1 Rural Y
## 177 1 Rural Y
## 178 0 Semiurban N
## 179 1 Semiurban Y
## 180 0 Urban N
## 181 0 Urban N
## 182 0 Rural N
## 183 1 Semiurban Y
## 184 1 Semiurban N
## 185 1 Semiurban Y
## 186 1 Semiurban Y
## 187 0 Rural N
## 188 0 Rural Y
## 189 1 Rural Y
## 190 1 Rural Y
## 191 1 Rural Y
## 192 1 Semiurban N
## 193 1 Urban N
## 194 1 Semiurban Y
## 195 1 Rural Y
## 196 1 Semiurban N
## 197 1 Rural Y
## 198 1 Urban Y
## 199 0 Semiurban Y
## 200 1 Urban N
## 201 1 Semiurban Y
## 202 0 Semiurban Y
## 203 1 Urban N
## 204 1 Urban Y
## 205 1 Semiurban Y
## 206 1 Semiurban Y
## 207 1 Urban Y
## 208 1 Rural Y
## 209 1 Urban Y
## 210 1 Semiurban N
## 211 1 Semiurban N
## 212 0 Semiurban N
## 213 1 Urban Y
## 214 1 Rural Y
## 215 1 Urban Y
## 216 1 Semiurban Y
## 217 1 Rural N
## 218 1 Semiurban Y
## 219 0 Semiurban N
## 220 0 Semiurban Y
## 221 0 Urban N
## 222 1 Semiurban Y
## 223 1 Semiurban Y
## 224 1 Semiurban Y
## 225 1 Semiurban Y
## 226 1 Rural N
## 227 1 Urban N
## 228 1 Semiurban Y
## 229 1 Semiurban Y
## 230 1 Rural Y
## 231 1 Semiurban Y
## 232 1 Rural Y
## 233 1 Rural Y
## 234 1 Semiurban Y
## 235 1 Semiurban Y
## 236 1 Rural Y
## 237 0 Urban N
## 238 0 Urban Y
## 239 1 Rural Y
## 240 1 Semiurban Y
## 241 1 Rural Y
## 242 1 Urban N
## 243 1 Urban Y
## 244 1 Rural Y
## 245 1 Semiurban Y
## 246 1 Urban N
## 247 1 Urban Y
## 248 1 Urban Y
## 249 1 Semiurban Y
## 250 1 Urban Y
## 251 0 Semiurban N
## 252 1 Urban N
## 253 1 Rural Y
## 254 1 Semiurban Y
## 255 0 Urban N
## 256 1 Rural Y
## 257 0 Rural N
## 258 1 Urban N
## 259 1 Rural N
## 260 0 Semiurban N
## 261 0 Urban Y
## 262 1 Semiurban Y
## 263 1 Semiurban N
## 264 1 Rural Y
## 265 1 Semiurban Y
## 266 1 Rural Y
## 267 1 Semiurban Y
## 268 0 Urban Y
## 269 1 Rural N
## 270 1 Urban Y
## 271 1 Urban Y
## 272 1 Urban Y
## 273 1 Rural Y
## 274 1 Semiurban Y
## 275 1 Semiurban Y
## 276 1 Semiurban Y
## 277 1 Semiurban Y
## 278 1 Urban Y
## 279 1 Semiurban Y
## 280 0 Rural Y
## 281 0 Urban N
## 282 1 Semiurban Y
## 283 1 Urban Y
## 284 1 Urban Y
## 285 1 Rural N
## 286 1 Rural Y
## 287 1 Semiurban N
## 288 1 Rural Y
## 289 1 Semiurban Y
## 290 1 Rural Y
## 291 1 Rural Y
## 292 0 Semiurban N
## 293 1 Urban Y
## 294 0 Urban N
## 295 1 Semiurban Y
## 296 1 Urban Y
## 297 1 Semiurban Y
## 298 1 Urban Y
## 299 1 Rural N
## 300 1 Urban N
## 301 0 Urban N
## 302 1 Semiurban Y
## 303 1 Rural Y
## 304 1 Urban Y
## 305 1 Rural Y
## 306 1 Urban N
## 307 1 Rural Y
## 308 0 Urban N
## 309 1 Rural N
## 310 0 Rural Y
## 311 1 Semiurban Y
## 312 1 Semiurban Y
## 313 1 Rural Y
## 314 0 Rural Y
## 315 1 Rural N
## 316 1 Urban Y
## 317 1 Semiurban Y
## 318 0 Urban Y
## 319 0 Semiurban Y
## 320 1 Rural N
## 321 1 Semiurban Y
## 322 1 Semiurban Y
## 323 1 Rural Y
## 324 0 Rural Y
## 325 1 Rural Y
## 326 0 Rural N
## 327 0 Rural Y
## 328 1 Semiurban Y
## 329 1 Urban N
## 330 1 Urban Y
## 331 1 Urban Y
## 332 1 Semiurban Y
## 333 1 Urban Y
## 334 1 Urban Y
## 335 1 Urban Y
## 336 1 Semiurban Y
## 337 1 Rural Y
## 338 1 Rural Y
## 339 0 Urban N
## 340 1 Semiurban Y
## 341 1 Rural N
## 342 1 Rural N
## 343 1 Urban Y
## 344 1 Semiurban Y
## 345 1 Rural Y
## 346 1 Semiurban Y
## 347 0 Rural N
## 348 1 Urban Y
## 349 0 Semiurban Y
## 350 1 Rural Y
## 351 1 Semiurban Y
## 352 1 Rural N
## 353 1 Rural Y
## 354 0 Rural N
## 355 1 Semiurban Y
## 356 1 Urban Y
## 357 1 Rural Y
## 358 1 Urban N
## 359 0 Urban N
## 360 1 Semiurban Y
## 361 1 Semiurban N
## 362 1 Semiurban Y
## 363 1 Urban Y
## 364 0 Urban Y
## 365 1 Rural Y
## 366 1 Rural N
## 367 1 Semiurban N
## 368 0 Rural N
## 369 1 Semiurban Y
## 370 1 Rural N
## 371 1 Semiurban Y
## 372 1 Semiurban Y
## 373 1 Rural Y
## 374 0 Urban N
## 375 1 Urban Y
## 376 1 Urban Y
## 377 1 Rural Y
## 378 0 Semiurban Y
## 379 1 Urban N
## 380 1 Urban Y
## 381 1 Semiurban Y
## 382 1 Semiurban Y
## 383 1 Urban Y
## 384 1 Urban Y
## 385 1 Urban N
## 386 1 Urban Y
## 387 1 Semiurban Y
## 388 0 Urban N
## 389 1 Urban Y
## 390 1 Rural Y
## 391 1 Rural Y
## 392 1 Rural Y
## 393 0 Urban Y
## 394 1 Semiurban Y
## 395 1 Urban Y
## 396 0 Semiurban Y
## 397 0 Urban N
## 398 1 Urban Y
## 399 1 Rural Y
## 400 0 Semiurban N
## 401 0 Urban N
## 402 1 Rural N
## 403 1 Semiurban Y
## 404 1 Semiurban Y
## 405 1 Rural N
## 406 1 Semiurban Y
## 407 1 Urban Y
## 408 1 Rural Y
## 409 0 Semiurban N
## 410 0 Rural N
## 411 1 Semiurban N
## 412 0 Urban Y
## 413 0 Rural N
## 414 1 Rural Y
## 415 0 Semiurban N
## 416 1 Urban Y
## 417 1 Urban N
## 418 1 Urban N
## 419 1 Rural Y
## 420 1 Semiurban Y
## 421 1 Rural Y
## 422 0 Urban N
## 423 1 Urban Y
## 424 0 Urban N
## 425 1 Semiurban Y
## 426 1 Rural Y
## 427 1 Rural N
## 428 1 Semiurban Y
## 429 1 Rural Y
## 430 1 Urban Y
## 431 1 Semiurban Y
## 432 0 Rural N
## 433 1 Semiurban Y
## 434 1 Semiurban Y
## 435 1 Urban Y
## 436 1 Semiurban Y
## 437 1 Semiurban Y
## 438 1 Urban Y
## 439 0 Urban N
## 440 1 Rural Y
## 441 1 Semiurban Y
## 442 1 Rural Y
## 443 1 Semiurban Y
## 444 1 Semiurban Y
## 445 0 Rural Y
## 446 1 Rural Y
## 447 1 Rural Y
## 448 1 Rural N
## 449 0 Rural N
## 450 0 Semiurban N
## 451 0 Rural N
## 452 0 Urban Y
## 453 0 Rural N
## 454 0 Rural Y
## 455 1 Semiurban Y
## 456 1 Semiurban Y
## 457 1 Urban Y
## 458 1 Urban N
## 459 1 Rural Y
## 460 1 Semiurban N
## 461 0 Semiurban Y
## 462 1 Urban Y
## 463 1 Rural Y
## 464 1 Semiurban Y
## 465 0 Semiurban N
## 466 1 Rural Y
## 467 0 Urban N
## 468 1 Semiurban Y
## 469 1 Semiurban Y
## 470 1 Urban N
## 471 1 Semiurban Y
## 472 0 Rural N
## 473 1 Semiurban Y
## 474 0 Urban Y
## 475 1 Rural Y
## 476 1 Rural Y
## 477 1 Semiurban Y
## 478 0 Semiurban N
## 479 1 Semiurban Y
## 480 1 Urban N
## 481 1 Rural Y
## 482 1 Rural Y
## 483 1 Semiurban Y
## 484 1 Semiurban Y
## 485 1 Semiurban Y
## 486 1 Rural Y
## 487 0 Rural N
## 488 1 Urban N
## 489 1 Semiurban Y
## 490 1 Urban N
## 491 0 Semiurban Y
## 492 0 Urban Y
## 493 1 Rural Y
## 494 1 Semiurban Y
## 495 0 Rural N
## 496 1 Semiurban Y
## 497 1 Rural Y
## 498 0 Urban Y
## 499 1 Semiurban Y
## 500 0 Rural N
## 501 1 Rural Y
## 502 1 Semiurban Y
## 503 1 Semiurban Y
## 504 0 Rural N
## 505 1 Semiurban Y
## 506 1 Rural Y
## 507 0 Urban Y
## 508 1 Urban N
## 509 1 Urban Y
## 510 1 Urban Y
## 511 1 Rural N
## 512 1 Semiurban Y
## 513 1 Urban Y
## 514 1 Semiurban N
## 515 1 Rural N
## 516 1 Rural Y
## 517 1 Semiurban Y
## 518 0 Semiurban N
## 519 1 Semiurban N
## 520 1 Rural N
## 521 1 Semiurban Y
## 522 1 Semiurban Y
## 523 1 Rural Y
## 524 1 Rural Y
## 525 1 Semiurban N
## 526 1 Rural Y
## 527 1 Semiurban Y
## 528 0 Semiurban Y
## 529 1 Semiurban Y
## 530 1 Semiurban Y
## 531 0 Rural Y
## 532 1 Urban Y
## 533 0 Rural N
## 534 0 Semiurban N
## 535 1 Urban Y
## 536 1 Rural Y
## 537 1 Urban Y
## 538 1 Semiurban Y
## 539 1 Rural N
## 540 1 Rural Y
## 541 1 Semiurban Y
## 542 0 Semiurban N
## 543 1 Semiurban Y
## 544 1 Urban Y
## 545 0 Semiurban Y
## 546 1 Rural Y
## 547 1 Semiurban N
## 548 1 Rural Y
## 549 0 Semiurban N
## 550 1 Rural Y
## 551 0 Rural N
## 552 1 Rural Y
## 553 1 Urban Y
## 554 0 Urban N
## 555 0 Rural N
## 556 1 Semiurban Y
## 557 0 Urban Y
## 558 1 Semiurban Y
## 559 1 Semiurban Y
## 560 1 Semiurban Y
## 561 1 Semiurban Y
## 562 1 Semiurban Y
## 563 1 Rural Y
## 564 1 Semiurban Y
## 565 0 Urban N
## 566 0 Rural Y
## 567 1 Urban Y
## 568 0 Rural N
## 569 1 Urban N
## 570 0 Urban N
## 571 1 Urban Y
## 572 0 Urban N
## 573 1 Urban Y
## 574 1 Semiurban N
## 575 1 Semiurban N
## 576 1 Urban Y
## 577 0 Semiurban N
## 578 1 Urban Y
## 579 1 Rural Y
## 580 1 Urban Y
## 581 1 Semiurban Y
## 582 1 Urban N
## 583 1 Semiurban Y
## 584 0 Rural N
## 585 0 Rural N
## 586 1 Rural N
## 587 1 Urban Y
## 588 1 Semiurban Y
## 589 1 Semiurban Y
## 590 0 Semiurban N
## 591 1 Semiurban Y
## 592 1 Semiurban N
## 593 1 Semiurban Y
## 594 1 Rural Y
## 595 1 Urban Y
## 596 1 Rural Y
## 597 1 Rural N
## 598 0 Semiurban N
## 599 1 Rural Y
## 600 1 Urban Y
## 601 0 Urban N
## 602 1 Rural Y
## 603 1 Urban Y
## 604 1 Rural Y
## 605 1 Semiurban Y
## 606 1 Urban N
## 607 1 Semiurban Y
## 608 1 Rural Y
## 609 1 Rural Y
## 610 1 Rural Y
## 611 1 Rural Y
## 612 1 Urban Y
## 613 1 Urban Y
## 614 0 Semiurban Nsum(is.na(dat))## [1] 0Dari output diatas setelah di-replace maka terlihat bahwa tidak ada data NA.
2.3 Periksa Data Duplikat
Dalam memeriksa data duplikat menggunakan packages dplyr() kemudian menggunakan fungsi duplicated() dari data dat.
library(dplyr)
duplicated(dat)## [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [73] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [85] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [109] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [145] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [181] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [193] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [205] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [217] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [229] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [241] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [253] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [265] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [277] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [289] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [301] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [313] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [325] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [337] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [349] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [361] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [373] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [385] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [397] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [409] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [421] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [433] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [445] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [457] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [469] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [481] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [493] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [505] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [517] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [529] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [541] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [553] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [565] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [577] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [589] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [601] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [613] FALSE FALSEDari output diatas dapat disimpulkan bahwa tidak ada data yang bersifat duplikat.
unique(dat)## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP001002 Male No 0 Graduate No
## 2 LP001003 Male Yes 1 Graduate No
## 3 LP001005 Male Yes 0 Graduate Yes
## 4 LP001006 Male Yes 0 Not Graduate No
## 5 LP001008 Male No 0 Graduate No
## 6 LP001011 Male Yes 2 Graduate Yes
## 7 LP001013 Male Yes 0 Not Graduate No
## 8 LP001014 Male Yes 3+ Graduate No
## 9 LP001018 Male Yes 2 Graduate No
## 10 LP001020 Male Yes 1 Graduate No
## 11 LP001024 Male Yes 2 Graduate No
## 12 LP001027 Male Yes 2 Graduate
## 13 LP001028 Male Yes 2 Graduate No
## 14 LP001029 Male No 0 Graduate No
## 15 LP001030 Male Yes 2 Graduate No
## 16 LP001032 Male No 0 Graduate No
## 17 LP001034 Male No 1 Not Graduate No
## 18 LP001036 Female No 0 Graduate No
## 19 LP001038 Male Yes 0 Not Graduate No
## 20 LP001041 Male Yes 0 Graduate
## 21 LP001043 Male Yes 0 Not Graduate No
## 22 LP001046 Male Yes 1 Graduate No
## 23 LP001047 Male Yes 0 Not Graduate No
## 24 LP001050 Yes 2 Not Graduate No
## 25 LP001052 Male Yes 1 Graduate
## 26 LP001066 Male Yes 0 Graduate Yes
## 27 LP001068 Male Yes 0 Graduate No
## 28 LP001073 Male Yes 2 Not Graduate No
## 29 LP001086 Male No 0 Not Graduate No
## 30 LP001087 Female No 2 Graduate
## 31 LP001091 Male Yes 1 Graduate
## 32 LP001095 Male No 0 Graduate No
## 33 LP001097 Male No 1 Graduate Yes
## 34 LP001098 Male Yes 0 Graduate No
## 35 LP001100 Male No 3+ Graduate No
## 36 LP001106 Male Yes 0 Graduate No
## 37 LP001109 Male Yes 0 Graduate No
## 38 LP001112 Female Yes 0 Graduate No
## 39 LP001114 Male No 0 Graduate No
## 40 LP001116 Male No 0 Not Graduate No
## 41 LP001119 Male No 0 Graduate No
## 42 LP001120 Male No 0 Graduate No
## 43 LP001123 Male Yes 0 Graduate No
## 44 LP001131 Male Yes 0 Graduate No
## 45 LP001136 Male Yes 0 Not Graduate Yes
## 46 LP001137 Female No 0 Graduate No
## 47 LP001138 Male Yes 1 Graduate No
## 48 LP001144 Male Yes 0 Graduate No
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## 86 LP001279 Male No 0 Graduate No
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## 99 LP001334 Male Yes 0 Not Graduate No
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## 101 LP001345 Male Yes 2 Not Graduate No
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## 110 LP001384 Male Yes 3+ Not Graduate No
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## 113 LP001391 Male Yes 0 Not Graduate No
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## 118 LP001405 Male Yes 1 Graduate No
## 119 LP001421 Male Yes 0 Graduate No
## 120 LP001422 Female No 0 Graduate No
## 121 LP001426 Male Yes Graduate No
## 122 LP001430 Female No 0 Graduate No
## 123 LP001431 Female No 0 Graduate No
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## 125 LP001439 Male Yes 0 Not Graduate No
## 126 LP001443 Female No 0 Graduate No
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## 131 LP001469 Male No 0 Graduate Yes
## 132 LP001473 Male No 0 Graduate No
## 133 LP001478 Male No 0 Graduate No
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## 139 LP001492 Male No 0 Graduate No
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## 146 LP001514 Female Yes 0 Graduate No
## 147 LP001516 Female Yes 2 Graduate No
## 148 LP001518 Male Yes 1 Graduate No
## 149 LP001519 Female No 0 Graduate No
## 150 LP001520 Male Yes 0 Graduate No
## 151 LP001528 Male No 0 Graduate No
## 152 LP001529 Male Yes 0 Graduate Yes
## 153 LP001531 Male No 0 Graduate No
## 154 LP001532 Male Yes 2 Not Graduate No
## 155 LP001535 Male No 0 Graduate No
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## 158 LP001543 Male Yes 1 Graduate No
## 159 LP001546 Male No 0 Graduate
## 160 LP001552 Male Yes 0 Graduate No
## 161 LP001560 Male Yes 0 Not Graduate No
## 162 LP001562 Male Yes 0 Graduate No
## 163 LP001565 Male Yes 1 Graduate No
## 164 LP001570 Male Yes 2 Graduate No
## 165 LP001572 Male Yes 0 Graduate No
## 166 LP001574 Male Yes 0 Graduate No
## 167 LP001577 Female Yes 0 Graduate No
## 168 LP001578 Male Yes 0 Graduate No
## 169 LP001579 Male No 0 Graduate No
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## 171 LP001581 Male Yes 0 Not Graduate
## 172 LP001585 Yes 3+ Graduate No
## 173 LP001586 Male Yes 3+ Not Graduate No
## 174 LP001594 Male Yes 0 Graduate No
## 175 LP001603 Male Yes 0 Not Graduate Yes
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## 178 LP001610 Male Yes 3+ Graduate No
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## 180 LP001630 Male No 0 Not Graduate No
## 181 LP001633 Male Yes 1 Graduate No
## 182 LP001634 Male No 0 Graduate No
## 183 LP001636 Male Yes 0 Graduate No
## 184 LP001637 Male Yes 1 Graduate No
## 185 LP001639 Female Yes 0 Graduate No
## 186 LP001640 Male Yes 0 Graduate Yes
## 187 LP001641 Male Yes 1 Graduate Yes
## 188 LP001643 Male Yes 0 Graduate No
## 189 LP001644 Yes 0 Graduate Yes
## 190 LP001647 Male Yes 0 Graduate No
## 191 LP001653 Male No 0 Not Graduate No
## 192 LP001656 Male No 0 Graduate No
## 193 LP001657 Male Yes 0 Not Graduate No
## 194 LP001658 Male No 0 Graduate No
## 195 LP001664 Male No 0 Graduate No
## 196 LP001665 Male Yes 1 Graduate No
## 197 LP001666 Male No 0 Graduate No
## 198 LP001669 Female No 0 Not Graduate No
## 199 LP001671 Female Yes 0 Graduate No
## 200 LP001673 Male No 0 Graduate Yes
## 201 LP001674 Male Yes 1 Not Graduate No
## 202 LP001677 Male No 2 Graduate No
## 203 LP001682 Male Yes 3+ Not Graduate No
## 204 LP001688 Male Yes 1 Not Graduate No
## 205 LP001691 Male Yes 2 Not Graduate No
## 206 LP001692 Female No 0 Not Graduate No
## 207 LP001693 Female No 0 Graduate No
## 208 LP001698 Male No 0 Not Graduate No
## 209 LP001699 Male No 0 Graduate No
## 210 LP001702 Male No 0 Graduate No
## 211 LP001708 Female No 0 Graduate No
## 212 LP001711 Male Yes 3+ Graduate No
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## 215 LP001716 Male Yes 0 Graduate No
## 216 LP001720 Male Yes 3+ Not Graduate No
## 217 LP001722 Male Yes 0 Graduate No
## 218 LP001726 Male Yes 0 Graduate No
## 219 LP001732 Male Yes 2 Graduate
## 220 LP001734 Female Yes 2 Graduate No
## 221 LP001736 Male Yes 0 Graduate No
## 222 LP001743 Male Yes 2 Graduate No
## 223 LP001744 Male No 0 Graduate No
## 224 LP001749 Male Yes 0 Graduate No
## 225 LP001750 Male Yes 0 Graduate No
## 226 LP001751 Male Yes 0 Graduate No
## 227 LP001754 Male Yes Not Graduate Yes
## 228 LP001758 Male Yes 2 Graduate No
## 229 LP001760 Male Graduate No
## 230 LP001761 Male No 0 Graduate Yes
## 231 LP001765 Male Yes 1 Graduate No
## 232 LP001768 Male Yes 0 Graduate
## 233 LP001770 Male No 0 Not Graduate No
## 234 LP001776 Female No 0 Graduate No
## 235 LP001778 Male Yes 1 Graduate No
## 236 LP001784 Male Yes 1 Graduate No
## 237 LP001786 Male Yes 0 Graduate
## 238 LP001788 Female No 0 Graduate Yes
## 239 LP001790 Female No 1 Graduate No
## 240 LP001792 Male Yes 1 Graduate No
## 241 LP001798 Male Yes 2 Graduate No
## 242 LP001800 Male Yes 1 Not Graduate No
## 243 LP001806 Male No 0 Graduate No
## 244 LP001807 Male Yes 2 Graduate Yes
## 245 LP001811 Male Yes 0 Not Graduate No
## 246 LP001813 Male No 0 Graduate Yes
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## 248 LP001819 Male Yes 1 Not Graduate No
## 249 LP001824 Male Yes 1 Graduate No
## 250 LP001825 Male Yes 0 Graduate No
## 251 LP001835 Male Yes 0 Not Graduate No
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## 253 LP001841 Male No 0 Not Graduate Yes
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## 255 LP001844 Male No 0 Graduate Yes
## 256 LP001846 Female No 3+ Graduate No
## 257 LP001849 Male No 0 Not Graduate No
## 258 LP001854 Male Yes 3+ Graduate No
## 259 LP001859 Male Yes 0 Graduate No
## 260 LP001864 Male Yes 3+ Not Graduate No
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## 262 LP001868 Male No 0 Graduate No
## 263 LP001870 Female No 1 Graduate No
## 264 LP001871 Female No 0 Graduate No
## 265 LP001872 Male No 0 Graduate Yes
## 266 LP001875 Male No 0 Graduate No
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## 268 LP001882 Male Yes 3+ Graduate No
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## 271 LP001888 Female No 0 Graduate No
## 272 LP001891 Male Yes 0 Graduate No
## 273 LP001892 Male No 0 Graduate No
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## 278 LP001904 Male Yes 0 Graduate No
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## 284 LP001917 Female No 0 Graduate No
## 285 LP001922 Male Yes 0 Graduate No
## 286 LP001924 Male No 0 Graduate No
## 287 LP001925 Female No 0 Graduate Yes
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## 290 LP001935 Male No 0 Graduate No
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## 298 LP001954 Female Yes 1 Graduate No
## 299 LP001955 Female No 0 Graduate No
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## 301 LP001964 Male Yes 0 Not Graduate No
## 302 LP001972 Male Yes Not Graduate No
## 303 LP001974 Female No 0 Graduate No
## 304 LP001977 Male Yes 1 Graduate No
## 305 LP001978 Male No 0 Graduate No
## 306 LP001990 Male No 0 Not Graduate No
## 307 LP001993 Female No 0 Graduate No
## 308 LP001994 Female No 0 Graduate No
## 309 LP001996 Male No 0 Graduate No
## 310 LP001998 Male Yes 2 Not Graduate No
## 311 LP002002 Female No 0 Graduate No
## 312 LP002004 Male No 0 Not Graduate No
## 313 LP002006 Female No 0 Graduate No
## 314 LP002008 Male Yes 2 Graduate Yes
## 315 LP002024 Yes 0 Graduate No
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## 317 LP002035 Male Yes 2 Graduate No
## 318 LP002036 Male Yes 0 Graduate No
## 319 LP002043 Female No 1 Graduate No
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## 322 LP002053 Male Yes 3+ Graduate No
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## 324 LP002055 Female No 0 Graduate No
## 325 LP002065 Male Yes 3+ Graduate No
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## 327 LP002068 Male No 0 Graduate No
## 328 LP002082 Male Yes 0 Graduate Yes
## 329 LP002086 Female Yes 0 Graduate No
## 330 LP002087 Female No 0 Graduate No
## 331 LP002097 Male No 1 Graduate No
## 332 LP002098 Male No 0 Graduate No
## 333 LP002100 Male No Graduate No
## 334 LP002101 Male Yes 0 Graduate
## 335 LP002103 Yes 1 Graduate Yes
## 336 LP002106 Male Yes Graduate Yes
## 337 LP002110 Male Yes 1 Graduate
## 338 LP002112 Male Yes 2 Graduate Yes
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## 341 LP002115 Male Yes 3+ Not Graduate No
## 342 LP002116 Female No 0 Graduate No
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## 346 LP002129 Male Yes 0 Graduate No
## 347 LP002130 Male Yes Not Graduate No
## 348 LP002131 Male Yes 2 Not Graduate No
## 349 LP002137 Male Yes 0 Graduate No
## 350 LP002138 Male Yes 0 Graduate No
## 351 LP002139 Male Yes 0 Graduate No
## 352 LP002140 Male No 0 Graduate No
## 353 LP002141 Male Yes 3+ Graduate No
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## 355 LP002143 Female Yes 0 Graduate No
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## 362 LP002170 Male Yes 2 Graduate No
## 363 LP002175 Male Yes 0 Graduate No
## 364 LP002178 Male Yes 0 Graduate No
## 365 LP002180 Male No 0 Graduate Yes
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## 367 LP002187 Male No 0 Graduate No
## 368 LP002188 Male No 0 Graduate No
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## 371 LP002194 Female No 0 Graduate Yes
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## 373 LP002201 Male Yes 2 Graduate Yes
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## 379 LP002224 Male No 0 Graduate No
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## 383 LP002231 Female No 0 Graduate No
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## 403 LP002297 Male No 0 Graduate No
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## 414 LP002332 Male Yes 0 Not Graduate No
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## 420 LP002347 Male Yes 0 Graduate No
## 421 LP002348 Male Yes 0 Graduate No
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## 501 LP002603 Female No 0 Graduate No
## 502 LP002606 Female No 0 Graduate No
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## 544 LP002755 Male Yes 1 Not Graduate No
## 545 LP002757 Female Yes 0 Not Graduate No
## 546 LP002767 Male Yes 0 Graduate No
## 547 LP002768 Male No 0 Not Graduate No
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## 549 LP002776 Female No 0 Graduate No
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## 610 LP002978 Female No 0 Graduate No
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## 612 LP002983 Male Yes 1 Graduate No
## 613 LP002984 Male Yes 2 Graduate No
## 614 LP002990 Female No 0 Graduate Yes
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## Credit_History Property_Area Loan_Status
## 1 1 Urban Y
## 2 1 Rural N
## 3 1 Urban Y
## 4 1 Urban Y
## 5 1 Urban Y
## 6 1 Urban Y
## 7 1 Urban Y
## 8 0 Semiurban N
## 9 1 Urban Y
## 10 1 Semiurban N
## 11 1 Urban Y
## 12 1 Urban Y
## 13 1 Urban Y
## 14 1 Rural N
## 15 1 Urban Y
## 16 1 Urban Y
## 17 0 Urban Y
## 18 0 Urban N
## 19 1 Rural N
## 20 1 Urban Y
## 21 0 Urban N
## 22 1 Urban Y
## 23 0 Semiurban N
## 24 0 Rural N
## 25 0 Semiurban N
## 26 1 Semiurban Y
## 27 1 Semiurban Y
## 28 1 Urban Y
## 29 1 Urban N
## 30 1 Semiurban Y
## 31 0 Urban N
## 32 1 Urban N
## 33 1 Rural N
## 34 1 Semiurban Y
## 35 1 Rural N
## 36 1 Urban Y
## 37 0 Urban N
## 38 1 Semiurban Y
## 39 1 Urban Y
## 40 1 Semiurban Y
## 41 1 Urban N
## 42 1 Urban Y
## 43 0 Urban Y
## 44 1 Semiurban Y
## 45 1 Urban Y
## 46 1 Urban Y
## 47 1 Urban Y
## 48 1 Urban Y
## 49 0 Urban N
## 50 1 Semiurban Y
## 51 1 Semiurban Y
## 52 1 Semiurban Y
## 53 1 Semiurban N
## 54 1 Urban N
## 55 0 Urban N
## 56 1 Semiurban Y
## 57 1 Semiurban Y
## 58 1 Rural N
## 59 1 Urban Y
## 60 1 Urban Y
## 61 1 Urban Y
## 62 1 Urban Y
## 63 0 Rural N
## 64 0 Rural N
## 65 0 Semiurban N
## 66 1 Semiurban N
## 67 0 Urban N
## 68 1 Urban Y
## 69 1 Urban Y
## 70 0 Semiurban N
## 71 1 Urban Y
## 72 1 Semiurban Y
## 73 1 Semiurban Y
## 74 0 Semiurban N
## 75 1 Semiurban Y
## 76 1 Urban N
## 77 1 Urban N
## 78 1 Urban N
## 79 0 Semiurban N
## 80 0 Semiurban Y
## 81 1 Semiurban Y
## 82 1 Semiurban Y
## 83 1 Urban N
## 84 0 Semiurban N
## 85 1 Urban Y
## 86 1 Semiurban Y
## 87 0 Semiurban Y
## 88 1 Semiurban Y
## 89 1 Urban Y
## 90 1 Semiurban Y
## 91 1 Semiurban Y
## 92 1 Semiurban Y
## 93 1 Urban Y
## 94 1 Semiurban Y
## 95 1 Semiurban Y
## 96 0 Urban N
## 97 1 Semiurban Y
## 98 1 Semiurban Y
## 99 1 Semiurban Y
## 100 1 Semiurban Y
## 101 1 Urban Y
## 102 1 Semiurban Y
## 103 1 Urban Y
## 104 1 Semiurban Y
## 105 1 Urban Y
## 106 1 Urban Y
## 107 1 Urban Y
## 108 1 Rural N
## 109 0 Urban N
## 110 1 Semiurban Y
## 111 1 Urban Y
## 112 1 Semiurban Y
## 113 0 Rural N
## 114 1 Semiurban Y
## 115 1 Semiurban Y
## 116 1 Rural Y
## 117 1 Semiurban Y
## 118 0 Urban Y
## 119 1 Rural N
## 120 1 Urban Y
## 121 1 Rural Y
## 122 1 Semiurban Y
## 123 0 Semiurban Y
## 124 1 Semiurban Y
## 125 1 Rural Y
## 126 0 Rural Y
## 127 1 Rural Y
## 128 1 Rural Y
## 129 0 Urban N
## 130 0 Rural N
## 131 0 Urban Y
## 132 1 Urban Y
## 133 1 Semiurban Y
## 134 1 Semiurban Y
## 135 1 Semiurban Y
## 136 1 Semiurban N
## 137 1 Rural N
## 138 1 Urban Y
## 139 0 Semiurban N
## 140 1 Rural N
## 141 1 Rural N
## 142 1 Urban Y
## 143 1 Semiurban Y
## 144 1 Semiurban Y
## 145 1 Urban Y
## 146 1 Semiurban Y
## 147 1 Urban Y
## 148 1 Urban Y
## 149 1 Rural N
## 150 1 Semiurban Y
## 151 0 Rural N
## 152 1 Rural Y
## 153 1 Urban N
## 154 1 Rural N
## 155 1 Urban Y
## 156 0 Semiurban Y
## 157 0 Rural Y
## 158 1 Urban Y
## 159 1 Rural Y
## 160 1 Semiurban Y
## 161 1 Semiurban Y
## 162 1 Urban N
## 163 0 Semiurban N
## 164 1 Rural Y
## 165 1 Urban Y
## 166 1 Rural Y
## 167 1 Rural N
## 168 1 Rural Y
## 169 0 Semiurban N
## 170 1 Semiurban Y
## 171 1 Rural Y
## 172 1 Urban Y
## 173 1 Rural N
## 174 1 Semiurban Y
## 175 1 Semiurban N
## 176 1 Rural Y
## 177 1 Rural Y
## 178 0 Semiurban N
## 179 1 Semiurban Y
## 180 0 Urban N
## 181 0 Urban N
## 182 0 Rural N
## 183 1 Semiurban Y
## 184 1 Semiurban N
## 185 1 Semiurban Y
## 186 1 Semiurban Y
## 187 0 Rural N
## 188 0 Rural Y
## 189 1 Rural Y
## 190 1 Rural Y
## 191 1 Rural Y
## 192 1 Semiurban N
## 193 1 Urban N
## 194 1 Semiurban Y
## 195 1 Rural Y
## 196 1 Semiurban N
## 197 1 Rural Y
## 198 1 Urban Y
## 199 0 Semiurban Y
## 200 1 Urban N
## 201 1 Semiurban Y
## 202 0 Semiurban Y
## 203 1 Urban N
## 204 1 Urban Y
## 205 1 Semiurban Y
## 206 1 Semiurban Y
## 207 1 Urban Y
## 208 1 Rural Y
## 209 1 Urban Y
## 210 1 Semiurban N
## 211 1 Semiurban N
## 212 0 Semiurban N
## 213 1 Urban Y
## 214 1 Rural Y
## 215 1 Urban Y
## 216 1 Semiurban Y
## 217 1 Rural N
## 218 1 Semiurban Y
## 219 0 Semiurban N
## 220 0 Semiurban Y
## 221 0 Urban N
## 222 1 Semiurban Y
## 223 1 Semiurban Y
## 224 1 Semiurban Y
## 225 1 Semiurban Y
## 226 1 Rural N
## 227 1 Urban N
## 228 1 Semiurban Y
## 229 1 Semiurban Y
## 230 1 Rural Y
## 231 1 Semiurban Y
## 232 1 Rural Y
## 233 1 Rural Y
## 234 1 Semiurban Y
## 235 1 Semiurban Y
## 236 1 Rural Y
## 237 0 Urban N
## 238 0 Urban Y
## 239 1 Rural Y
## 240 1 Semiurban Y
## 241 1 Rural Y
## 242 1 Urban N
## 243 1 Urban Y
## 244 1 Rural Y
## 245 1 Semiurban Y
## 246 1 Urban N
## 247 1 Urban Y
## 248 1 Urban Y
## 249 1 Semiurban Y
## 250 1 Urban Y
## 251 0 Semiurban N
## 252 1 Urban N
## 253 1 Rural Y
## 254 1 Semiurban Y
## 255 0 Urban N
## 256 1 Rural Y
## 257 0 Rural N
## 258 1 Urban N
## 259 1 Rural N
## 260 0 Semiurban N
## 261 0 Urban Y
## 262 1 Semiurban Y
## 263 1 Semiurban N
## 264 1 Rural Y
## 265 1 Semiurban Y
## 266 1 Rural Y
## 267 1 Semiurban Y
## 268 0 Urban Y
## 269 1 Rural N
## 270 1 Urban Y
## 271 1 Urban Y
## 272 1 Urban Y
## 273 1 Rural Y
## 274 1 Semiurban Y
## 275 1 Semiurban Y
## 276 1 Semiurban Y
## 277 1 Semiurban Y
## 278 1 Urban Y
## 279 1 Semiurban Y
## 280 0 Rural Y
## 281 0 Urban N
## 282 1 Semiurban Y
## 283 1 Urban Y
## 284 1 Urban Y
## 285 1 Rural N
## 286 1 Rural Y
## 287 1 Semiurban N
## 288 1 Rural Y
## 289 1 Semiurban Y
## 290 1 Rural Y
## 291 1 Rural Y
## 292 0 Semiurban N
## 293 1 Urban Y
## 294 0 Urban N
## 295 1 Semiurban Y
## 296 1 Urban Y
## 297 1 Semiurban Y
## 298 1 Urban Y
## 299 1 Rural N
## 300 1 Urban N
## 301 0 Urban N
## 302 1 Semiurban Y
## 303 1 Rural Y
## 304 1 Urban Y
## 305 1 Rural Y
## 306 1 Urban N
## 307 1 Rural Y
## 308 0 Urban N
## 309 1 Rural N
## 310 0 Rural Y
## 311 1 Semiurban Y
## 312 1 Semiurban Y
## 313 1 Rural Y
## 314 0 Rural Y
## 315 1 Rural N
## 316 1 Urban Y
## 317 1 Semiurban Y
## 318 0 Urban Y
## 319 0 Semiurban Y
## 320 1 Rural N
## 321 1 Semiurban Y
## 322 1 Semiurban Y
## 323 1 Rural Y
## 324 0 Rural Y
## 325 1 Rural Y
## 326 0 Rural N
## 327 0 Rural Y
## 328 1 Semiurban Y
## 329 1 Urban N
## 330 1 Urban Y
## 331 1 Urban Y
## 332 1 Semiurban Y
## 333 1 Urban Y
## 334 1 Urban Y
## 335 1 Urban Y
## 336 1 Semiurban Y
## 337 1 Rural Y
## 338 1 Rural Y
## 339 0 Urban N
## 340 1 Semiurban Y
## 341 1 Rural N
## 342 1 Rural N
## 343 1 Urban Y
## 344 1 Semiurban Y
## 345 1 Rural Y
## 346 1 Semiurban Y
## 347 0 Rural N
## 348 1 Urban Y
## 349 0 Semiurban Y
## 350 1 Rural Y
## 351 1 Semiurban Y
## 352 1 Rural N
## 353 1 Rural Y
## 354 0 Rural N
## 355 1 Semiurban Y
## 356 1 Urban Y
## 357 1 Rural Y
## 358 1 Urban N
## 359 0 Urban N
## 360 1 Semiurban Y
## 361 1 Semiurban N
## 362 1 Semiurban Y
## 363 1 Urban Y
## 364 0 Urban Y
## 365 1 Rural Y
## 366 1 Rural N
## 367 1 Semiurban N
## 368 0 Rural N
## 369 1 Semiurban Y
## 370 1 Rural N
## 371 1 Semiurban Y
## 372 1 Semiurban Y
## 373 1 Rural Y
## 374 0 Urban N
## 375 1 Urban Y
## 376 1 Urban Y
## 377 1 Rural Y
## 378 0 Semiurban Y
## 379 1 Urban N
## 380 1 Urban Y
## 381 1 Semiurban Y
## 382 1 Semiurban Y
## 383 1 Urban Y
## 384 1 Urban Y
## 385 1 Urban N
## 386 1 Urban Y
## 387 1 Semiurban Y
## 388 0 Urban N
## 389 1 Urban Y
## 390 1 Rural Y
## 391 1 Rural Y
## 392 1 Rural Y
## 393 0 Urban Y
## 394 1 Semiurban Y
## 395 1 Urban Y
## 396 0 Semiurban Y
## 397 0 Urban N
## 398 1 Urban Y
## 399 1 Rural Y
## 400 0 Semiurban N
## 401 0 Urban N
## 402 1 Rural N
## 403 1 Semiurban Y
## 404 1 Semiurban Y
## 405 1 Rural N
## 406 1 Semiurban Y
## 407 1 Urban Y
## 408 1 Rural Y
## 409 0 Semiurban N
## 410 0 Rural N
## 411 1 Semiurban N
## 412 0 Urban Y
## 413 0 Rural N
## 414 1 Rural Y
## 415 0 Semiurban N
## 416 1 Urban Y
## 417 1 Urban N
## 418 1 Urban N
## 419 1 Rural Y
## 420 1 Semiurban Y
## 421 1 Rural Y
## 422 0 Urban N
## 423 1 Urban Y
## 424 0 Urban N
## 425 1 Semiurban Y
## 426 1 Rural Y
## 427 1 Rural N
## 428 1 Semiurban Y
## 429 1 Rural Y
## 430 1 Urban Y
## 431 1 Semiurban Y
## 432 0 Rural N
## 433 1 Semiurban Y
## 434 1 Semiurban Y
## 435 1 Urban Y
## 436 1 Semiurban Y
## 437 1 Semiurban Y
## 438 1 Urban Y
## 439 0 Urban N
## 440 1 Rural Y
## 441 1 Semiurban Y
## 442 1 Rural Y
## 443 1 Semiurban Y
## 444 1 Semiurban Y
## 445 0 Rural Y
## 446 1 Rural Y
## 447 1 Rural Y
## 448 1 Rural N
## 449 0 Rural N
## 450 0 Semiurban N
## 451 0 Rural N
## 452 0 Urban Y
## 453 0 Rural N
## 454 0 Rural Y
## 455 1 Semiurban Y
## 456 1 Semiurban Y
## 457 1 Urban Y
## 458 1 Urban N
## 459 1 Rural Y
## 460 1 Semiurban N
## 461 0 Semiurban Y
## 462 1 Urban Y
## 463 1 Rural Y
## 464 1 Semiurban Y
## 465 0 Semiurban N
## 466 1 Rural Y
## 467 0 Urban N
## 468 1 Semiurban Y
## 469 1 Semiurban Y
## 470 1 Urban N
## 471 1 Semiurban Y
## 472 0 Rural N
## 473 1 Semiurban Y
## 474 0 Urban Y
## 475 1 Rural Y
## 476 1 Rural Y
## 477 1 Semiurban Y
## 478 0 Semiurban N
## 479 1 Semiurban Y
## 480 1 Urban N
## 481 1 Rural Y
## 482 1 Rural Y
## 483 1 Semiurban Y
## 484 1 Semiurban Y
## 485 1 Semiurban Y
## 486 1 Rural Y
## 487 0 Rural N
## 488 1 Urban N
## 489 1 Semiurban Y
## 490 1 Urban N
## 491 0 Semiurban Y
## 492 0 Urban Y
## 493 1 Rural Y
## 494 1 Semiurban Y
## 495 0 Rural N
## 496 1 Semiurban Y
## 497 1 Rural Y
## 498 0 Urban Y
## 499 1 Semiurban Y
## 500 0 Rural N
## 501 1 Rural Y
## 502 1 Semiurban Y
## 503 1 Semiurban Y
## 504 0 Rural N
## 505 1 Semiurban Y
## 506 1 Rural Y
## 507 0 Urban Y
## 508 1 Urban N
## 509 1 Urban Y
## 510 1 Urban Y
## 511 1 Rural N
## 512 1 Semiurban Y
## 513 1 Urban Y
## 514 1 Semiurban N
## 515 1 Rural N
## 516 1 Rural Y
## 517 1 Semiurban Y
## 518 0 Semiurban N
## 519 1 Semiurban N
## 520 1 Rural N
## 521 1 Semiurban Y
## 522 1 Semiurban Y
## 523 1 Rural Y
## 524 1 Rural Y
## 525 1 Semiurban N
## 526 1 Rural Y
## 527 1 Semiurban Y
## 528 0 Semiurban Y
## 529 1 Semiurban Y
## 530 1 Semiurban Y
## 531 0 Rural Y
## 532 1 Urban Y
## 533 0 Rural N
## 534 0 Semiurban N
## 535 1 Urban Y
## 536 1 Rural Y
## 537 1 Urban Y
## 538 1 Semiurban Y
## 539 1 Rural N
## 540 1 Rural Y
## 541 1 Semiurban Y
## 542 0 Semiurban N
## 543 1 Semiurban Y
## 544 1 Urban Y
## 545 0 Semiurban Y
## 546 1 Rural Y
## 547 1 Semiurban N
## 548 1 Rural Y
## 549 0 Semiurban N
## 550 1 Rural Y
## 551 0 Rural N
## 552 1 Rural Y
## 553 1 Urban Y
## 554 0 Urban N
## 555 0 Rural N
## 556 1 Semiurban Y
## 557 0 Urban Y
## 558 1 Semiurban Y
## 559 1 Semiurban Y
## 560 1 Semiurban Y
## 561 1 Semiurban Y
## 562 1 Semiurban Y
## 563 1 Rural Y
## 564 1 Semiurban Y
## 565 0 Urban N
## 566 0 Rural Y
## 567 1 Urban Y
## 568 0 Rural N
## 569 1 Urban N
## 570 0 Urban N
## 571 1 Urban Y
## 572 0 Urban N
## 573 1 Urban Y
## 574 1 Semiurban N
## 575 1 Semiurban N
## 576 1 Urban Y
## 577 0 Semiurban N
## 578 1 Urban Y
## 579 1 Rural Y
## 580 1 Urban Y
## 581 1 Semiurban Y
## 582 1 Urban N
## 583 1 Semiurban Y
## 584 0 Rural N
## 585 0 Rural N
## 586 1 Rural N
## 587 1 Urban Y
## 588 1 Semiurban Y
## 589 1 Semiurban Y
## 590 0 Semiurban N
## 591 1 Semiurban Y
## 592 1 Semiurban N
## 593 1 Semiurban Y
## 594 1 Rural Y
## 595 1 Urban Y
## 596 1 Rural Y
## 597 1 Rural N
## 598 0 Semiurban N
## 599 1 Rural Y
## 600 1 Urban Y
## 601 0 Urban N
## 602 1 Rural Y
## 603 1 Urban Y
## 604 1 Rural Y
## 605 1 Semiurban Y
## 606 1 Urban N
## 607 1 Semiurban Y
## 608 1 Rural Y
## 609 1 Rural Y
## 610 1 Rural Y
## 611 1 Rural Y
## 612 1 Urban Y
## 613 1 Urban Y
## 614 0 Semiurban N2.4 Pemisahan Data Kategori dan Numerik
Dalam split data bersifat kategori dan numerik menggunakan fungsi select_if.
Berikut adalah data kategori.
datc<-select_if(dat,is.character)
datc## Loan_ID Gender Married Dependents Education Self_Employed Property_Area
## 1 LP001002 Male No 0 Graduate No Urban
## 2 LP001003 Male Yes 1 Graduate No Rural
## 3 LP001005 Male Yes 0 Graduate Yes Urban
## 4 LP001006 Male Yes 0 Not Graduate No Urban
## 5 LP001008 Male No 0 Graduate No Urban
## 6 LP001011 Male Yes 2 Graduate Yes Urban
## 7 LP001013 Male Yes 0 Not Graduate No Urban
## 8 LP001014 Male Yes 3+ Graduate No Semiurban
## 9 LP001018 Male Yes 2 Graduate No Urban
## 10 LP001020 Male Yes 1 Graduate No Semiurban
## 11 LP001024 Male Yes 2 Graduate No Urban
## 12 LP001027 Male Yes 2 Graduate Urban
## 13 LP001028 Male Yes 2 Graduate No Urban
## 14 LP001029 Male No 0 Graduate No Rural
## 15 LP001030 Male Yes 2 Graduate No Urban
## 16 LP001032 Male No 0 Graduate No Urban
## 17 LP001034 Male No 1 Not Graduate No Urban
## 18 LP001036 Female No 0 Graduate No Urban
## 19 LP001038 Male Yes 0 Not Graduate No Rural
## 20 LP001041 Male Yes 0 Graduate Urban
## 21 LP001043 Male Yes 0 Not Graduate No Urban
## 22 LP001046 Male Yes 1 Graduate No Urban
## 23 LP001047 Male Yes 0 Not Graduate No Semiurban
## 24 LP001050 Yes 2 Not Graduate No Rural
## 25 LP001052 Male Yes 1 Graduate Semiurban
## 26 LP001066 Male Yes 0 Graduate Yes Semiurban
## 27 LP001068 Male Yes 0 Graduate No Semiurban
## 28 LP001073 Male Yes 2 Not Graduate No Urban
## 29 LP001086 Male No 0 Not Graduate No Urban
## 30 LP001087 Female No 2 Graduate Semiurban
## 31 LP001091 Male Yes 1 Graduate Urban
## 32 LP001095 Male No 0 Graduate No Urban
## 33 LP001097 Male No 1 Graduate Yes Rural
## 34 LP001098 Male Yes 0 Graduate No Semiurban
## 35 LP001100 Male No 3+ Graduate No Rural
## 36 LP001106 Male Yes 0 Graduate No Urban
## 37 LP001109 Male Yes 0 Graduate No Urban
## 38 LP001112 Female Yes 0 Graduate No Semiurban
## 39 LP001114 Male No 0 Graduate No Urban
## 40 LP001116 Male No 0 Not Graduate No Semiurban
## 41 LP001119 Male No 0 Graduate No Urban
## 42 LP001120 Male No 0 Graduate No Urban
## 43 LP001123 Male Yes 0 Graduate No Urban
## 44 LP001131 Male Yes 0 Graduate No Semiurban
## 45 LP001136 Male Yes 0 Not Graduate Yes Urban
## 46 LP001137 Female No 0 Graduate No Urban
## 47 LP001138 Male Yes 1 Graduate No Urban
## 48 LP001144 Male Yes 0 Graduate No Urban
## 49 LP001146 Female Yes 0 Graduate No Urban
## 50 LP001151 Female No 0 Graduate No Semiurban
## 51 LP001155 Female Yes 0 Not Graduate No Semiurban
## 52 LP001157 Female No 0 Graduate No Semiurban
## 53 LP001164 Female No 0 Graduate No Semiurban
## 54 LP001179 Male Yes 2 Graduate No Urban
## 55 LP001186 Female Yes 1 Graduate Yes Urban
## 56 LP001194 Male Yes 2 Graduate No Semiurban
## 57 LP001195 Male Yes 0 Graduate No Semiurban
## 58 LP001197 Male Yes 0 Graduate No Rural
## 59 LP001198 Male Yes 1 Graduate No Urban
## 60 LP001199 Male Yes 2 Not Graduate No Urban
## 61 LP001205 Male Yes 0 Graduate No Urban
## 62 LP001206 Male Yes 3+ Graduate No Urban
## 63 LP001207 Male Yes 0 Not Graduate Yes Rural
## 64 LP001213 Male Yes 1 Graduate No Rural
## 65 LP001222 Female No 0 Graduate No Semiurban
## 66 LP001225 Male Yes 0 Graduate No Semiurban
## 67 LP001228 Male No 0 Not Graduate No Urban
## 68 LP001233 Male Yes 1 Graduate No Urban
## 69 LP001238 Male Yes 3+ Not Graduate Yes Urban
## 70 LP001241 Female No 0 Graduate No Semiurban
## 71 LP001243 Male Yes 0 Graduate No Urban
## 72 LP001245 Male Yes 2 Not Graduate Yes Semiurban
## 73 LP001248 Male No 0 Graduate No Semiurban
## 74 LP001250 Male Yes 3+ Not Graduate No Semiurban
## 75 LP001253 Male Yes 3+ Graduate Yes Semiurban
## 76 LP001255 Male No 0 Graduate No Urban
## 77 LP001256 Male No 0 Graduate No Urban
## 78 LP001259 Male Yes 1 Graduate Yes Urban
## 79 LP001263 Male Yes 3+ Graduate No Semiurban
## 80 LP001264 Male Yes 3+ Not Graduate Yes Semiurban
## 81 LP001265 Female No 0 Graduate No Semiurban
## 82 LP001266 Male Yes 1 Graduate Yes Semiurban
## 83 LP001267 Female Yes 2 Graduate No Urban
## 84 LP001273 Male Yes 0 Graduate No Semiurban
## 85 LP001275 Male Yes 1 Graduate No Urban
## 86 LP001279 Male No 0 Graduate No Semiurban
## 87 LP001280 Male Yes 2 Not Graduate No Semiurban
## 88 LP001282 Male Yes 0 Graduate No Semiurban
## 89 LP001289 Male No 0 Graduate No Urban
## 90 LP001310 Male Yes 0 Graduate No Semiurban
## 91 LP001316 Male Yes 0 Graduate No Semiurban
## 92 LP001318 Male Yes 2 Graduate No Semiurban
## 93 LP001319 Male Yes 2 Not Graduate No Urban
## 94 LP001322 Male No 0 Graduate No Semiurban
## 95 LP001325 Male No 0 Not Graduate No Semiurban
## 96 LP001326 Male No 0 Graduate Urban
## 97 LP001327 Female Yes 0 Graduate No Semiurban
## 98 LP001333 Male Yes 0 Graduate No Semiurban
## 99 LP001334 Male Yes 0 Not Graduate No Semiurban
## 100 LP001343 Male Yes 0 Graduate No Semiurban
## 101 LP001345 Male Yes 2 Not Graduate No Urban
## 102 LP001349 Male No 0 Graduate No Semiurban
## 103 LP001350 Male Yes Graduate No Urban
## 104 LP001356 Male Yes 0 Graduate No Semiurban
## 105 LP001357 Male Graduate No Urban
## 106 LP001367 Male Yes 1 Graduate No Urban
## 107 LP001369 Male Yes 2 Graduate No Urban
## 108 LP001370 Male No 0 Not Graduate Rural
## 109 LP001379 Male Yes 2 Graduate No Urban
## 110 LP001384 Male Yes 3+ Not Graduate No Semiurban
## 111 LP001385 Male No 0 Graduate No Urban
## 112 LP001387 Female Yes 0 Graduate Semiurban
## 113 LP001391 Male Yes 0 Not Graduate No Rural
## 114 LP001392 Female No 1 Graduate Yes Semiurban
## 115 LP001398 Male No 0 Graduate Semiurban
## 116 LP001401 Male Yes 1 Graduate No Rural
## 117 LP001404 Female Yes 0 Graduate No Semiurban
## 118 LP001405 Male Yes 1 Graduate No Urban
## 119 LP001421 Male Yes 0 Graduate No Rural
## 120 LP001422 Female No 0 Graduate No Urban
## 121 LP001426 Male Yes Graduate No Rural
## 122 LP001430 Female No 0 Graduate No Semiurban
## 123 LP001431 Female No 0 Graduate No Semiurban
## 124 LP001432 Male Yes 2 Graduate No Semiurban
## 125 LP001439 Male Yes 0 Not Graduate No Rural
## 126 LP001443 Female No 0 Graduate No Rural
## 127 LP001448 Yes 3+ Graduate No Rural
## 128 LP001449 Male No 0 Graduate No Rural
## 129 LP001451 Male Yes 1 Graduate Yes Urban
## 130 LP001465 Male Yes 0 Graduate No Rural
## 131 LP001469 Male No 0 Graduate Yes Urban
## 132 LP001473 Male No 0 Graduate No Urban
## 133 LP001478 Male No 0 Graduate No Semiurban
## 134 LP001482 Male Yes 0 Graduate Yes Semiurban
## 135 LP001487 Male No 0 Graduate No Semiurban
## 136 LP001488 Male Yes 3+ Graduate No Semiurban
## 137 LP001489 Female Yes 0 Graduate No Rural
## 138 LP001491 Male Yes 2 Graduate Yes Urban
## 139 LP001492 Male No 0 Graduate No Semiurban
## 140 LP001493 Male Yes 2 Not Graduate No Rural
## 141 LP001497 Male Yes 2 Graduate No Rural
## 142 LP001498 Male No 0 Graduate No Urban
## 143 LP001504 Male No 0 Graduate Yes Semiurban
## 144 LP001507 Male Yes 0 Graduate No Semiurban
## 145 LP001508 Male Yes 2 Graduate No Urban
## 146 LP001514 Female Yes 0 Graduate No Semiurban
## 147 LP001516 Female Yes 2 Graduate No Urban
## 148 LP001518 Male Yes 1 Graduate No Urban
## 149 LP001519 Female No 0 Graduate No Rural
## 150 LP001520 Male Yes 0 Graduate No Semiurban
## 151 LP001528 Male No 0 Graduate No Rural
## 152 LP001529 Male Yes 0 Graduate Yes Rural
## 153 LP001531 Male No 0 Graduate No Urban
## 154 LP001532 Male Yes 2 Not Graduate No Rural
## 155 LP001535 Male No 0 Graduate No Urban
## 156 LP001536 Male Yes 3+ Graduate No Semiurban
## 157 LP001541 Male Yes 1 Graduate No Rural
## 158 LP001543 Male Yes 1 Graduate No Urban
## 159 LP001546 Male No 0 Graduate Rural
## 160 LP001552 Male Yes 0 Graduate No Semiurban
## 161 LP001560 Male Yes 0 Not Graduate No Semiurban
## 162 LP001562 Male Yes 0 Graduate No Urban
## 163 LP001565 Male Yes 1 Graduate No Semiurban
## 164 LP001570 Male Yes 2 Graduate No Rural
## 165 LP001572 Male Yes 0 Graduate No Urban
## 166 LP001574 Male Yes 0 Graduate No Rural
## 167 LP001577 Female Yes 0 Graduate No Rural
## 168 LP001578 Male Yes 0 Graduate No Rural
## 169 LP001579 Male No 0 Graduate No Semiurban
## 170 LP001580 Male Yes 2 Graduate No Semiurban
## 171 LP001581 Male Yes 0 Not Graduate Rural
## 172 LP001585 Yes 3+ Graduate No Urban
## 173 LP001586 Male Yes 3+ Not Graduate No Rural
## 174 LP001594 Male Yes 0 Graduate No Semiurban
## 175 LP001603 Male Yes 0 Not Graduate Yes Semiurban
## 176 LP001606 Male Yes 0 Graduate No Rural
## 177 LP001608 Male Yes 2 Graduate No Rural
## 178 LP001610 Male Yes 3+ Graduate No Semiurban
## 179 LP001616 Male Yes 1 Graduate No Semiurban
## 180 LP001630 Male No 0 Not Graduate No Urban
## 181 LP001633 Male Yes 1 Graduate No Urban
## 182 LP001634 Male No 0 Graduate No Rural
## 183 LP001636 Male Yes 0 Graduate No Semiurban
## 184 LP001637 Male Yes 1 Graduate No Semiurban
## 185 LP001639 Female Yes 0 Graduate No Semiurban
## 186 LP001640 Male Yes 0 Graduate Yes Semiurban
## 187 LP001641 Male Yes 1 Graduate Yes Rural
## 188 LP001643 Male Yes 0 Graduate No Rural
## 189 LP001644 Yes 0 Graduate Yes Rural
## 190 LP001647 Male Yes 0 Graduate No Rural
## 191 LP001653 Male No 0 Not Graduate No Rural
## 192 LP001656 Male No 0 Graduate No Semiurban
## 193 LP001657 Male Yes 0 Not Graduate No Urban
## 194 LP001658 Male No 0 Graduate No Semiurban
## 195 LP001664 Male No 0 Graduate No Rural
## 196 LP001665 Male Yes 1 Graduate No Semiurban
## 197 LP001666 Male No 0 Graduate No Rural
## 198 LP001669 Female No 0 Not Graduate No Urban
## 199 LP001671 Female Yes 0 Graduate No Semiurban
## 200 LP001673 Male No 0 Graduate Yes Urban
## 201 LP001674 Male Yes 1 Not Graduate No Semiurban
## 202 LP001677 Male No 2 Graduate No Semiurban
## 203 LP001682 Male Yes 3+ Not Graduate No Urban
## 204 LP001688 Male Yes 1 Not Graduate No Urban
## 205 LP001691 Male Yes 2 Not Graduate No Semiurban
## 206 LP001692 Female No 0 Not Graduate No Semiurban
## 207 LP001693 Female No 0 Graduate No Urban
## 208 LP001698 Male No 0 Not Graduate No Rural
## 209 LP001699 Male No 0 Graduate No Urban
## 210 LP001702 Male No 0 Graduate No Semiurban
## 211 LP001708 Female No 0 Graduate No Semiurban
## 212 LP001711 Male Yes 3+ Graduate No Semiurban
## 213 LP001713 Male Yes 1 Graduate Yes Urban
## 214 LP001715 Male Yes 3+ Not Graduate Yes Rural
## 215 LP001716 Male Yes 0 Graduate No Urban
## 216 LP001720 Male Yes 3+ Not Graduate No Semiurban
## 217 LP001722 Male Yes 0 Graduate No Rural
## 218 LP001726 Male Yes 0 Graduate No Semiurban
## 219 LP001732 Male Yes 2 Graduate Semiurban
## 220 LP001734 Female Yes 2 Graduate No Semiurban
## 221 LP001736 Male Yes 0 Graduate No Urban
## 222 LP001743 Male Yes 2 Graduate No Semiurban
## 223 LP001744 Male No 0 Graduate No Semiurban
## 224 LP001749 Male Yes 0 Graduate No Semiurban
## 225 LP001750 Male Yes 0 Graduate No Semiurban
## 226 LP001751 Male Yes 0 Graduate No Rural
## 227 LP001754 Male Yes Not Graduate Yes Urban
## 228 LP001758 Male Yes 2 Graduate No Semiurban
## 229 LP001760 Male Graduate No Semiurban
## 230 LP001761 Male No 0 Graduate Yes Rural
## 231 LP001765 Male Yes 1 Graduate No Semiurban
## 232 LP001768 Male Yes 0 Graduate Rural
## 233 LP001770 Male No 0 Not Graduate No Rural
## 234 LP001776 Female No 0 Graduate No Semiurban
## 235 LP001778 Male Yes 1 Graduate No Semiurban
## 236 LP001784 Male Yes 1 Graduate No Rural
## 237 LP001786 Male Yes 0 Graduate Urban
## 238 LP001788 Female No 0 Graduate Yes Urban
## 239 LP001790 Female No 1 Graduate No Rural
## 240 LP001792 Male Yes 1 Graduate No Semiurban
## 241 LP001798 Male Yes 2 Graduate No Rural
## 242 LP001800 Male Yes 1 Not Graduate No Urban
## 243 LP001806 Male No 0 Graduate No Urban
## 244 LP001807 Male Yes 2 Graduate Yes Rural
## 245 LP001811 Male Yes 0 Not Graduate No Semiurban
## 246 LP001813 Male No 0 Graduate Yes Urban
## 247 LP001814 Male Yes 2 Graduate No Urban
## 248 LP001819 Male Yes 1 Not Graduate No Urban
## 249 LP001824 Male Yes 1 Graduate No Semiurban
## 250 LP001825 Male Yes 0 Graduate No Urban
## 251 LP001835 Male Yes 0 Not Graduate No Semiurban
## 252 LP001836 Female No 2 Graduate No Urban
## 253 LP001841 Male No 0 Not Graduate Yes Rural
## 254 LP001843 Male Yes 1 Not Graduate No Semiurban
## 255 LP001844 Male No 0 Graduate Yes Urban
## 256 LP001846 Female No 3+ Graduate No Rural
## 257 LP001849 Male No 0 Not Graduate No Rural
## 258 LP001854 Male Yes 3+ Graduate No Urban
## 259 LP001859 Male Yes 0 Graduate No Rural
## 260 LP001864 Male Yes 3+ Not Graduate No Semiurban
## 261 LP001865 Male Yes 1 Graduate No Urban
## 262 LP001868 Male No 0 Graduate No Semiurban
## 263 LP001870 Female No 1 Graduate No Semiurban
## 264 LP001871 Female No 0 Graduate No Rural
## 265 LP001872 Male No 0 Graduate Yes Semiurban
## 266 LP001875 Male No 0 Graduate No Rural
## 267 LP001877 Male Yes 2 Graduate No Semiurban
## 268 LP001882 Male Yes 3+ Graduate No Urban
## 269 LP001883 Female No 0 Graduate Rural
## 270 LP001884 Female No 1 Graduate No Urban
## 271 LP001888 Female No 0 Graduate No Urban
## 272 LP001891 Male Yes 0 Graduate No Urban
## 273 LP001892 Male No 0 Graduate No Rural
## 274 LP001894 Male Yes 0 Graduate No Semiurban
## 275 LP001896 Male Yes 2 Graduate No Semiurban
## 276 LP001900 Male Yes 1 Graduate No Semiurban
## 277 LP001903 Male Yes 0 Graduate No Semiurban
## 278 LP001904 Male Yes 0 Graduate No Urban
## 279 LP001907 Male Yes 0 Graduate No Semiurban
## 280 LP001908 Female Yes 0 Not Graduate No Rural
## 281 LP001910 Male No 1 Not Graduate Yes Urban
## 282 LP001914 Male Yes 0 Graduate No Semiurban
## 283 LP001915 Male Yes 2 Graduate No Urban
## 284 LP001917 Female No 0 Graduate No Urban
## 285 LP001922 Male Yes 0 Graduate No Rural
## 286 LP001924 Male No 0 Graduate No Rural
## 287 LP001925 Female No 0 Graduate Yes Semiurban
## 288 LP001926 Male Yes 0 Graduate No Rural
## 289 LP001931 Female No 0 Graduate No Semiurban
## 290 LP001935 Male No 0 Graduate No Rural
## 291 LP001936 Male Yes 0 Graduate No Rural
## 292 LP001938 Male Yes 2 Graduate No Semiurban
## 293 LP001940 Male Yes 2 Graduate No Urban
## 294 LP001945 Female No Graduate No Urban
## 295 LP001947 Male Yes 0 Graduate No Semiurban
## 296 LP001949 Male Yes 3+ Graduate Urban
## 297 LP001953 Male Yes 1 Graduate No Semiurban
## 298 LP001954 Female Yes 1 Graduate No Urban
## 299 LP001955 Female No 0 Graduate No Rural
## 300 LP001963 Male Yes 1 Graduate No Urban
## 301 LP001964 Male Yes 0 Not Graduate No Urban
## 302 LP001972 Male Yes Not Graduate No Semiurban
## 303 LP001974 Female No 0 Graduate No Rural
## 304 LP001977 Male Yes 1 Graduate No Urban
## 305 LP001978 Male No 0 Graduate No Rural
## 306 LP001990 Male No 0 Not Graduate No Urban
## 307 LP001993 Female No 0 Graduate No Rural
## 308 LP001994 Female No 0 Graduate No Urban
## 309 LP001996 Male No 0 Graduate No Rural
## 310 LP001998 Male Yes 2 Not Graduate No Rural
## 311 LP002002 Female No 0 Graduate No Semiurban
## 312 LP002004 Male No 0 Not Graduate No Semiurban
## 313 LP002006 Female No 0 Graduate No Rural
## 314 LP002008 Male Yes 2 Graduate Yes Rural
## 315 LP002024 Yes 0 Graduate No Rural
## 316 LP002031 Male Yes 1 Not Graduate No Urban
## 317 LP002035 Male Yes 2 Graduate No Semiurban
## 318 LP002036 Male Yes 0 Graduate No Urban
## 319 LP002043 Female No 1 Graduate No Semiurban
## 320 LP002050 Male Yes 1 Graduate Yes Rural
## 321 LP002051 Male Yes 0 Graduate No Semiurban
## 322 LP002053 Male Yes 3+ Graduate No Semiurban
## 323 LP002054 Male Yes 2 Not Graduate No Rural
## 324 LP002055 Female No 0 Graduate No Rural
## 325 LP002065 Male Yes 3+ Graduate No Rural
## 326 LP002067 Male Yes 1 Graduate Yes Rural
## 327 LP002068 Male No 0 Graduate No Rural
## 328 LP002082 Male Yes 0 Graduate Yes Semiurban
## 329 LP002086 Female Yes 0 Graduate No Urban
## 330 LP002087 Female No 0 Graduate No Urban
## 331 LP002097 Male No 1 Graduate No Urban
## 332 LP002098 Male No 0 Graduate No Semiurban
## 333 LP002100 Male No Graduate No Urban
## 334 LP002101 Male Yes 0 Graduate Urban
## 335 LP002103 Yes 1 Graduate Yes Urban
## 336 LP002106 Male Yes Graduate Yes Semiurban
## 337 LP002110 Male Yes 1 Graduate Rural
## 338 LP002112 Male Yes 2 Graduate Yes Rural
## 339 LP002113 Female No 3+ Not Graduate No Urban
## 340 LP002114 Female No 0 Graduate No Semiurban
## 341 LP002115 Male Yes 3+ Not Graduate No Rural
## 342 LP002116 Female No 0 Graduate No Rural
## 343 LP002119 Male Yes 1 Not Graduate No Urban
## 344 LP002126 Male Yes 3+ Not Graduate No Semiurban
## 345 LP002128 Male Yes 2 Graduate Rural
## 346 LP002129 Male Yes 0 Graduate No Semiurban
## 347 LP002130 Male Yes Not Graduate No Rural
## 348 LP002131 Male Yes 2 Not Graduate No Urban
## 349 LP002137 Male Yes 0 Graduate No Semiurban
## 350 LP002138 Male Yes 0 Graduate No Rural
## 351 LP002139 Male Yes 0 Graduate No Semiurban
## 352 LP002140 Male No 0 Graduate No Rural
## 353 LP002141 Male Yes 3+ Graduate No Rural
## 354 LP002142 Female Yes 0 Graduate Yes Rural
## 355 LP002143 Female Yes 0 Graduate No Semiurban
## 356 LP002144 Female No Graduate No Urban
## 357 LP002149 Male Yes 2 Graduate No Rural
## 358 LP002151 Male Yes 1 Graduate No Urban
## 359 LP002158 Male Yes 0 Not Graduate No Urban
## 360 LP002160 Male Yes 3+ Graduate No Semiurban
## 361 LP002161 Female No 1 Graduate No Semiurban
## 362 LP002170 Male Yes 2 Graduate No Semiurban
## 363 LP002175 Male Yes 0 Graduate No Urban
## 364 LP002178 Male Yes 0 Graduate No Urban
## 365 LP002180 Male No 0 Graduate Yes Rural
## 366 LP002181 Male No 0 Not Graduate No Rural
## 367 LP002187 Male No 0 Graduate No Semiurban
## 368 LP002188 Male No 0 Graduate No Rural
## 369 LP002190 Male Yes 1 Graduate No Semiurban
## 370 LP002191 Male Yes 0 Graduate No Rural
## 371 LP002194 Female No 0 Graduate Yes Semiurban
## 372 LP002197 Male Yes 2 Graduate No Semiurban
## 373 LP002201 Male Yes 2 Graduate Yes Rural
## 374 LP002205 Male No 1 Graduate No Urban
## 375 LP002209 Female No 0 Graduate Urban
## 376 LP002211 Male Yes 0 Graduate No Urban
## 377 LP002219 Male Yes 3+ Graduate No Rural
## 378 LP002223 Male Yes 0 Graduate No Semiurban
## 379 LP002224 Male No 0 Graduate No Urban
## 380 LP002225 Male Yes 2 Graduate No Urban
## 381 LP002226 Male Yes 0 Graduate Semiurban
## 382 LP002229 Male No 0 Graduate No Semiurban
## 383 LP002231 Female No 0 Graduate No Urban
## 384 LP002234 Male No 0 Graduate Yes Urban
## 385 LP002236 Male Yes 2 Graduate No Urban
## 386 LP002237 Male No 1 Graduate Urban
## 387 LP002239 Male No 0 Not Graduate No Semiurban
## 388 LP002243 Male Yes 0 Not Graduate No Urban
## 389 LP002244 Male Yes 0 Graduate No Urban
## 390 LP002250 Male Yes 0 Graduate No Rural
## 391 LP002255 Male No 3+ Graduate No Rural
## 392 LP002262 Male Yes 3+ Graduate No Rural
## 393 LP002263 Male Yes 0 Graduate No Urban
## 394 LP002265 Male Yes 2 Not Graduate No Semiurban
## 395 LP002266 Male Yes 2 Graduate No Urban
## 396 LP002272 Male Yes 2 Graduate No Semiurban
## 397 LP002277 Female No 0 Graduate No Urban
## 398 LP002281 Male Yes 0 Graduate No Urban
## 399 LP002284 Male No 0 Not Graduate No Rural
## 400 LP002287 Female No 0 Graduate No Semiurban
## 401 LP002288 Male Yes 2 Not Graduate No Urban
## 402 LP002296 Male No 0 Not Graduate No Rural
## 403 LP002297 Male No 0 Graduate No Semiurban
## 404 LP002300 Female No 0 Not Graduate No Semiurban
## 405 LP002301 Female No 0 Graduate Yes Rural
## 406 LP002305 Female No 0 Graduate No Semiurban
## 407 LP002308 Male Yes 0 Not Graduate No Urban
## 408 LP002314 Female No 0 Not Graduate No Rural
## 409 LP002315 Male Yes 1 Graduate No Semiurban
## 410 LP002317 Male Yes 3+ Graduate No Rural
## 411 LP002318 Female No 1 Not Graduate Yes Semiurban
## 412 LP002319 Male Yes 0 Graduate Urban
## 413 LP002328 Male Yes 0 Not Graduate No Rural
## 414 LP002332 Male Yes 0 Not Graduate No Rural
## 415 LP002335 Female Yes 0 Not Graduate No Semiurban
## 416 LP002337 Female No 0 Graduate No Urban
## 417 LP002341 Female No 1 Graduate No Urban
## 418 LP002342 Male Yes 2 Graduate Yes Urban
## 419 LP002345 Male Yes 0 Graduate No Rural
## 420 LP002347 Male Yes 0 Graduate No Semiurban
## 421 LP002348 Male Yes 0 Graduate No Rural
## 422 LP002357 Female No 0 Not Graduate No Urban
## 423 LP002361 Male Yes 0 Graduate No Urban
## 424 LP002362 Male Yes 1 Graduate No Urban
## 425 LP002364 Male Yes 0 Graduate No Semiurban
## 426 LP002366 Male Yes 0 Graduate No Rural
## 427 LP002367 Female No 1 Not Graduate No Rural
## 428 LP002368 Male Yes 2 Graduate No Semiurban
## 429 LP002369 Male Yes 0 Graduate No Rural
## 430 LP002370 Male No 0 Not Graduate No Urban
## 431 LP002377 Female No 1 Graduate Yes Semiurban
## 432 LP002379 Male No 0 Graduate No Rural
## 433 LP002386 Male No 0 Graduate Semiurban
## 434 LP002387 Male Yes 0 Graduate No Semiurban
## 435 LP002390 Male No 0 Graduate No Urban
## 436 LP002393 Female Graduate No Semiurban
## 437 LP002398 Male No 0 Graduate No Semiurban
## 438 LP002401 Male Yes 0 Graduate No Urban
## 439 LP002403 Male No 0 Graduate Yes Urban
## 440 LP002407 Female Yes 0 Not Graduate Yes Rural
## 441 LP002408 Male No 0 Graduate No Semiurban
## 442 LP002409 Male Yes 0 Graduate No Rural
## 443 LP002418 Male No 3+ Not Graduate No Semiurban
## 444 LP002422 Male No 1 Graduate No Semiurban
## 445 LP002424 Male Yes 0 Graduate No Rural
## 446 LP002429 Male Yes 1 Graduate Yes Rural
## 447 LP002434 Male Yes 2 Not Graduate No Rural
## 448 LP002435 Male Yes 0 Graduate Rural
## 449 LP002443 Male Yes 2 Graduate No Rural
## 450 LP002444 Male No 1 Not Graduate Yes Semiurban
## 451 LP002446 Male Yes 2 Not Graduate No Rural
## 452 LP002447 Male Yes 2 Not Graduate No Urban
## 453 LP002448 Male Yes 0 Graduate No Rural
## 454 LP002449 Male Yes 0 Graduate No Rural
## 455 LP002453 Male No 0 Graduate Yes Semiurban
## 456 LP002455 Male Yes 2 Graduate No Semiurban
## 457 LP002459 Male Yes 0 Graduate No Urban
## 458 LP002467 Male Yes 0 Graduate No Urban
## 459 LP002472 Male No 2 Graduate No Rural
## 460 LP002473 Male Yes 0 Graduate No Semiurban
## 461 LP002478 Yes 0 Graduate Yes Semiurban
## 462 LP002484 Male Yes 3+ Graduate No Urban
## 463 LP002487 Male Yes 0 Graduate No Rural
## 464 LP002489 Female No 1 Not Graduate Semiurban
## 465 LP002493 Male No 0 Graduate No Semiurban
## 466 LP002494 Male No 0 Graduate No Rural
## 467 LP002500 Male Yes 3+ Not Graduate No Urban
## 468 LP002501 Yes 0 Graduate No Semiurban
## 469 LP002502 Female Yes 2 Not Graduate Semiurban
## 470 LP002505 Male Yes 0 Graduate No Urban
## 471 LP002515 Male Yes 1 Graduate Yes Semiurban
## 472 LP002517 Male Yes 1 Not Graduate No Rural
## 473 LP002519 Male Yes 3+ Graduate No Semiurban
## 474 LP002522 Female No 0 Graduate Yes Urban
## 475 LP002524 Male No 2 Graduate No Rural
## 476 LP002527 Male Yes 2 Graduate Yes Rural
## 477 LP002529 Male Yes 2 Graduate No Semiurban
## 478 LP002530 Yes 2 Graduate No Semiurban
## 479 LP002531 Male Yes 1 Graduate Yes Semiurban
## 480 LP002533 Male Yes 2 Graduate No Urban
## 481 LP002534 Female No 0 Not Graduate No Rural
## 482 LP002536 Male Yes 3+ Not Graduate No Rural
## 483 LP002537 Male Yes 0 Graduate No Semiurban
## 484 LP002541 Male Yes 0 Graduate No Semiurban
## 485 LP002543 Male Yes 2 Graduate No Semiurban
## 486 LP002544 Male Yes 1 Not Graduate No Rural
## 487 LP002545 Male No 2 Graduate No Rural
## 488 LP002547 Male Yes 1 Graduate No Urban
## 489 LP002555 Male Yes 2 Graduate Yes Semiurban
## 490 LP002556 Male No 0 Graduate No Urban
## 491 LP002560 Male No 0 Not Graduate No Semiurban
## 492 LP002562 Male Yes 1 Not Graduate No Urban
## 493 LP002571 Male No 0 Not Graduate No Rural
## 494 LP002582 Female No 0 Not Graduate Yes Semiurban
## 495 LP002585 Male Yes 0 Graduate No Rural
## 496 LP002586 Female Yes 1 Graduate No Semiurban
## 497 LP002587 Male Yes 0 Not Graduate No Rural
## 498 LP002588 Male Yes 0 Graduate No Urban
## 499 LP002600 Male Yes 1 Graduate Yes Semiurban
## 500 LP002602 Male No 0 Graduate No Rural
## 501 LP002603 Female No 0 Graduate No Rural
## 502 LP002606 Female No 0 Graduate No Semiurban
## 503 LP002615 Male Yes 2 Graduate No Semiurban
## 504 LP002618 Male Yes 1 Not Graduate No Rural
## 505 LP002619 Male Yes 0 Not Graduate No Semiurban
## 506 LP002622 Male Yes 2 Graduate No Rural
## 507 LP002624 Male Yes 0 Graduate No Urban
## 508 LP002625 No 0 Graduate No Urban
## 509 LP002626 Male Yes 0 Graduate Yes Urban
## 510 LP002634 Female No 1 Graduate No Urban
## 511 LP002637 Male No 0 Not Graduate No Rural
## 512 LP002640 Male Yes 1 Graduate No Semiurban
## 513 LP002643 Male Yes 2 Graduate No Urban
## 514 LP002648 Male Yes 0 Graduate No Semiurban
## 515 LP002652 Male No 0 Graduate No Rural
## 516 LP002659 Male Yes 3+ Graduate No Rural
## 517 LP002670 Female Yes 2 Graduate No Semiurban
## 518 LP002682 Male Yes Not Graduate No Semiurban
## 519 LP002683 Male No 0 Graduate No Semiurban
## 520 LP002684 Female No 0 Not Graduate No Rural
## 521 LP002689 Male Yes 2 Not Graduate No Semiurban
## 522 LP002690 Male No 0 Graduate No Semiurban
## 523 LP002692 Male Yes 3+ Graduate Yes Rural
## 524 LP002693 Male Yes 2 Graduate Yes Rural
## 525 LP002697 Male No 0 Graduate No Semiurban
## 526 LP002699 Male Yes 2 Graduate Yes Rural
## 527 LP002705 Male Yes 0 Graduate No Semiurban
## 528 LP002706 Male Yes 1 Not Graduate No Semiurban
## 529 LP002714 Male No 1 Not Graduate No Semiurban
## 530 LP002716 Male No 0 Not Graduate No Semiurban
## 531 LP002717 Male Yes 0 Graduate No Rural
## 532 LP002720 Male Yes 3+ Graduate No Urban
## 533 LP002723 Male No 2 Graduate No Rural
## 534 LP002729 Male No 1 Graduate No Semiurban
## 535 LP002731 Female No 0 Not Graduate Yes Urban
## 536 LP002732 Male No 0 Not Graduate Rural
## 537 LP002734 Male Yes 0 Graduate No Urban
## 538 LP002738 Male No 2 Graduate No Semiurban
## 539 LP002739 Male Yes 0 Not Graduate No Rural
## 540 LP002740 Male Yes 3+ Graduate No Rural
## 541 LP002741 Female Yes 1 Graduate No Semiurban
## 542 LP002743 Female No 0 Graduate No Semiurban
## 543 LP002753 Female No 1 Graduate Semiurban
## 544 LP002755 Male Yes 1 Not Graduate No Urban
## 545 LP002757 Female Yes 0 Not Graduate No Semiurban
## 546 LP002767 Male Yes 0 Graduate No Rural
## 547 LP002768 Male No 0 Not Graduate No Semiurban
## 548 LP002772 Male No 0 Graduate No Rural
## 549 LP002776 Female No 0 Graduate No Semiurban
## 550 LP002777 Male Yes 0 Graduate No Rural
## 551 LP002778 Male Yes 2 Graduate Yes Rural
## 552 LP002784 Male Yes 1 Not Graduate No Rural
## 553 LP002785 Male Yes 1 Graduate No Urban
## 554 LP002788 Male Yes 0 Not Graduate No Urban
## 555 LP002789 Male Yes 0 Graduate No Rural
## 556 LP002792 Male Yes 1 Graduate No Semiurban
## 557 LP002794 Female No 0 Graduate No Urban
## 558 LP002795 Male Yes 3+ Graduate Yes Semiurban
## 559 LP002798 Male Yes 0 Graduate No Semiurban
## 560 LP002804 Female Yes 0 Graduate No Semiurban
## 561 LP002807 Male Yes 2 Not Graduate No Semiurban
## 562 LP002813 Female Yes 1 Graduate Yes Semiurban
## 563 LP002820 Male Yes 0 Graduate No Rural
## 564 LP002821 Male No 0 Not Graduate Yes Semiurban
## 565 LP002832 Male Yes 2 Graduate No Urban
## 566 LP002833 Male Yes 0 Not Graduate No Rural
## 567 LP002836 Male No 0 Graduate No Urban
## 568 LP002837 Male Yes 3+ Graduate No Rural
## 569 LP002840 Female No 0 Graduate No Urban
## 570 LP002841 Male Yes 0 Graduate No Urban
## 571 LP002842 Male Yes 1 Graduate No Urban
## 572 LP002847 Male Yes Graduate No Urban
## 573 LP002855 Male Yes 2 Graduate No Urban
## 574 LP002862 Male Yes 2 Not Graduate No Semiurban
## 575 LP002863 Male Yes 3+ Graduate No Semiurban
## 576 LP002868 Male Yes 2 Graduate No Urban
## 577 LP002872 Yes 0 Graduate No Semiurban
## 578 LP002874 Male No 0 Graduate No Urban
## 579 LP002877 Male Yes 1 Graduate No Rural
## 580 LP002888 Male No 0 Graduate Urban
## 581 LP002892 Male Yes 2 Graduate No Semiurban
## 582 LP002893 Male No 0 Graduate No Urban
## 583 LP002894 Female Yes 0 Graduate No Semiurban
## 584 LP002898 Male Yes 1 Graduate No Rural
## 585 LP002911 Male Yes 1 Graduate No Rural
## 586 LP002912 Male Yes 1 Graduate No Rural
## 587 LP002916 Male Yes 0 Graduate No Urban
## 588 LP002917 Female No 0 Not Graduate No Semiurban
## 589 LP002925 No 0 Graduate No Semiurban
## 590 LP002926 Male Yes 2 Graduate Yes Semiurban
## 591 LP002928 Male Yes 0 Graduate No Semiurban
## 592 LP002931 Male Yes 2 Graduate Yes Semiurban
## 593 LP002933 No 3+ Graduate Yes Semiurban
## 594 LP002936 Male Yes 0 Graduate No Rural
## 595 LP002938 Male Yes 0 Graduate Yes Urban
## 596 LP002940 Male No 0 Not Graduate No Rural
## 597 LP002941 Male Yes 2 Not Graduate Yes Rural
## 598 LP002943 Male No Graduate No Semiurban
## 599 LP002945 Male Yes 0 Graduate Yes Rural
## 600 LP002948 Male Yes 2 Graduate No Urban
## 601 LP002949 Female No 3+ Graduate Urban
## 602 LP002950 Male Yes 0 Not Graduate Rural
## 603 LP002953 Male Yes 3+ Graduate No Urban
## 604 LP002958 Male No 0 Graduate No Rural
## 605 LP002959 Female Yes 1 Graduate No Semiurban
## 606 LP002960 Male Yes 0 Not Graduate No Urban
## 607 LP002961 Male Yes 1 Graduate No Semiurban
## 608 LP002964 Male Yes 2 Not Graduate No Rural
## 609 LP002974 Male Yes 0 Graduate No Rural
## 610 LP002978 Female No 0 Graduate No Rural
## 611 LP002979 Male Yes 3+ Graduate No Rural
## 612 LP002983 Male Yes 1 Graduate No Urban
## 613 LP002984 Male Yes 2 Graduate No Urban
## 614 LP002990 Female No 0 Graduate Yes Semiurban
## Loan_Status
## 1 Y
## 2 N
## 3 Y
## 4 Y
## 5 Y
## 6 Y
## 7 Y
## 8 N
## 9 Y
## 10 N
## 11 Y
## 12 Y
## 13 Y
## 14 N
## 15 Y
## 16 Y
## 17 Y
## 18 N
## 19 N
## 20 Y
## 21 N
## 22 Y
## 23 N
## 24 N
## 25 N
## 26 Y
## 27 Y
## 28 Y
## 29 N
## 30 Y
## 31 N
## 32 N
## 33 N
## 34 Y
## 35 N
## 36 Y
## 37 N
## 38 Y
## 39 Y
## 40 Y
## 41 N
## 42 Y
## 43 Y
## 44 Y
## 45 Y
## 46 Y
## 47 Y
## 48 Y
## 49 N
## 50 Y
## 51 Y
## 52 Y
## 53 N
## 54 N
## 55 N
## 56 Y
## 57 Y
## 58 N
## 59 Y
## 60 Y
## 61 Y
## 62 Y
## 63 N
## 64 N
## 65 N
## 66 N
## 67 N
## 68 Y
## 69 Y
## 70 N
## 71 Y
## 72 Y
## 73 Y
## 74 N
## 75 Y
## 76 N
## 77 N
## 78 N
## 79 N
## 80 Y
## 81 Y
## 82 Y
## 83 N
## 84 N
## 85 Y
## 86 Y
## 87 Y
## 88 Y
## 89 Y
## 90 Y
## 91 Y
## 92 Y
## 93 Y
## 94 Y
## 95 Y
## 96 N
## 97 Y
## 98 Y
## 99 Y
## 100 Y
## 101 Y
## 102 Y
## 103 Y
## 104 Y
## 105 Y
## 106 Y
## 107 Y
## 108 N
## 109 N
## 110 Y
## 111 Y
## 112 Y
## 113 N
## 114 Y
## 115 Y
## 116 Y
## 117 Y
## 118 Y
## 119 N
## 120 Y
## 121 Y
## 122 Y
## 123 Y
## 124 Y
## 125 Y
## 126 Y
## 127 Y
## 128 Y
## 129 N
## 130 N
## 131 Y
## 132 Y
## 133 Y
## 134 Y
## 135 Y
## 136 N
## 137 N
## 138 Y
## 139 N
## 140 N
## 141 N
## 142 Y
## 143 Y
## 144 Y
## 145 Y
## 146 Y
## 147 Y
## 148 Y
## 149 N
## 150 Y
## 151 N
## 152 Y
## 153 N
## 154 N
## 155 Y
## 156 Y
## 157 Y
## 158 Y
## 159 Y
## 160 Y
## 161 Y
## 162 N
## 163 N
## 164 Y
## 165 Y
## 166 Y
## 167 N
## 168 Y
## 169 N
## 170 Y
## 171 Y
## 172 Y
## 173 N
## 174 Y
## 175 N
## 176 Y
## 177 Y
## 178 N
## 179 Y
## 180 N
## 181 N
## 182 N
## 183 Y
## 184 N
## 185 Y
## 186 Y
## 187 N
## 188 Y
## 189 Y
## 190 Y
## 191 Y
## 192 N
## 193 N
## 194 Y
## 195 Y
## 196 N
## 197 Y
## 198 Y
## 199 Y
## 200 N
## 201 Y
## 202 Y
## 203 N
## 204 Y
## 205 Y
## 206 Y
## 207 Y
## 208 Y
## 209 Y
## 210 N
## 211 N
## 212 N
## 213 Y
## 214 Y
## 215 Y
## 216 Y
## 217 N
## 218 Y
## 219 N
## 220 Y
## 221 N
## 222 Y
## 223 Y
## 224 Y
## 225 Y
## 226 N
## 227 N
## 228 Y
## 229 Y
## 230 Y
## 231 Y
## 232 Y
## 233 Y
## 234 Y
## 235 Y
## 236 Y
## 237 N
## 238 Y
## 239 Y
## 240 Y
## 241 Y
## 242 N
## 243 Y
## 244 Y
## 245 Y
## 246 N
## 247 Y
## 248 Y
## 249 Y
## 250 Y
## 251 N
## 252 N
## 253 Y
## 254 Y
## 255 N
## 256 Y
## 257 N
## 258 N
## 259 N
## 260 N
## 261 Y
## 262 Y
## 263 N
## 264 Y
## 265 Y
## 266 Y
## 267 Y
## 268 Y
## 269 N
## 270 Y
## 271 Y
## 272 Y
## 273 Y
## 274 Y
## 275 Y
## 276 Y
## 277 Y
## 278 Y
## 279 Y
## 280 Y
## 281 N
## 282 Y
## 283 Y
## 284 Y
## 285 N
## 286 Y
## 287 N
## 288 Y
## 289 Y
## 290 Y
## 291 Y
## 292 N
## 293 Y
## 294 N
## 295 Y
## 296 Y
## 297 Y
## 298 Y
## 299 N
## 300 N
## 301 N
## 302 Y
## 303 Y
## 304 Y
## 305 Y
## 306 N
## 307 Y
## 308 N
## 309 N
## 310 Y
## 311 Y
## 312 Y
## 313 Y
## 314 Y
## 315 N
## 316 Y
## 317 Y
## 318 Y
## 319 Y
## 320 N
## 321 Y
## 322 Y
## 323 Y
## 324 Y
## 325 Y
## 326 N
## 327 Y
## 328 Y
## 329 N
## 330 Y
## 331 Y
## 332 Y
## 333 Y
## 334 Y
## 335 Y
## 336 Y
## 337 Y
## 338 Y
## 339 N
## 340 Y
## 341 N
## 342 N
## 343 Y
## 344 Y
## 345 Y
## 346 Y
## 347 N
## 348 Y
## 349 Y
## 350 Y
## 351 Y
## 352 N
## 353 Y
## 354 N
## 355 Y
## 356 Y
## 357 Y
## 358 N
## 359 N
## 360 Y
## 361 N
## 362 Y
## 363 Y
## 364 Y
## 365 Y
## 366 N
## 367 N
## 368 N
## 369 Y
## 370 N
## 371 Y
## 372 Y
## 373 Y
## 374 N
## 375 Y
## 376 Y
## 377 Y
## 378 Y
## 379 N
## 380 Y
## 381 Y
## 382 Y
## 383 Y
## 384 Y
## 385 N
## 386 Y
## 387 Y
## 388 N
## 389 Y
## 390 Y
## 391 Y
## 392 Y
## 393 Y
## 394 Y
## 395 Y
## 396 Y
## 397 N
## 398 Y
## 399 Y
## 400 N
## 401 N
## 402 N
## 403 Y
## 404 Y
## 405 N
## 406 Y
## 407 Y
## 408 Y
## 409 N
## 410 N
## 411 N
## 412 Y
## 413 N
## 414 Y
## 415 N
## 416 Y
## 417 N
## 418 N
## 419 Y
## 420 Y
## 421 Y
## 422 N
## 423 Y
## 424 N
## 425 Y
## 426 Y
## 427 N
## 428 Y
## 429 Y
## 430 Y
## 431 Y
## 432 N
## 433 Y
## 434 Y
## 435 Y
## 436 Y
## 437 Y
## 438 Y
## 439 N
## 440 Y
## 441 Y
## 442 Y
## 443 Y
## 444 Y
## 445 Y
## 446 Y
## 447 Y
## 448 N
## 449 N
## 450 N
## 451 N
## 452 Y
## 453 N
## 454 Y
## 455 Y
## 456 Y
## 457 Y
## 458 N
## 459 Y
## 460 N
## 461 Y
## 462 Y
## 463 Y
## 464 Y
## 465 N
## 466 Y
## 467 N
## 468 Y
## 469 Y
## 470 N
## 471 Y
## 472 N
## 473 Y
## 474 Y
## 475 Y
## 476 Y
## 477 Y
## 478 N
## 479 Y
## 480 N
## 481 Y
## 482 Y
## 483 Y
## 484 Y
## 485 Y
## 486 Y
## 487 N
## 488 N
## 489 Y
## 490 N
## 491 Y
## 492 Y
## 493 Y
## 494 Y
## 495 N
## 496 Y
## 497 Y
## 498 Y
## 499 Y
## 500 N
## 501 Y
## 502 Y
## 503 Y
## 504 N
## 505 Y
## 506 Y
## 507 Y
## 508 N
## 509 Y
## 510 Y
## 511 N
## 512 Y
## 513 Y
## 514 N
## 515 N
## 516 Y
## 517 Y
## 518 N
## 519 N
## 520 N
## 521 Y
## 522 Y
## 523 Y
## 524 Y
## 525 N
## 526 Y
## 527 Y
## 528 Y
## 529 Y
## 530 Y
## 531 Y
## 532 Y
## 533 N
## 534 N
## 535 Y
## 536 Y
## 537 Y
## 538 Y
## 539 N
## 540 Y
## 541 Y
## 542 N
## 543 Y
## 544 Y
## 545 Y
## 546 Y
## 547 N
## 548 Y
## 549 N
## 550 Y
## 551 N
## 552 Y
## 553 Y
## 554 N
## 555 N
## 556 Y
## 557 Y
## 558 Y
## 559 Y
## 560 Y
## 561 Y
## 562 Y
## 563 Y
## 564 Y
## 565 N
## 566 Y
## 567 Y
## 568 N
## 569 N
## 570 N
## 571 Y
## 572 N
## 573 Y
## 574 N
## 575 N
## 576 Y
## 577 N
## 578 Y
## 579 Y
## 580 Y
## 581 Y
## 582 N
## 583 Y
## 584 N
## 585 N
## 586 N
## 587 Y
## 588 Y
## 589 Y
## 590 N
## 591 Y
## 592 N
## 593 Y
## 594 Y
## 595 Y
## 596 Y
## 597 N
## 598 N
## 599 Y
## 600 Y
## 601 N
## 602 Y
## 603 Y
## 604 Y
## 605 Y
## 606 N
## 607 Y
## 608 Y
## 609 Y
## 610 Y
## 611 Y
## 612 Y
## 613 Y
## 614 NBerikut adalah data numerik.
datn<-select_if(dat,is.numeric)
datn## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 5849 0.00 0 360
## 2 4583 1508.00 128 360
## 3 3000 0.00 66 360
## 4 2583 2358.00 120 360
## 5 6000 0.00 141 360
## 6 5417 4196.00 267 360
## 7 2333 1516.00 95 360
## 8 3036 2504.00 158 360
## 9 4006 1526.00 168 360
## 10 12841 10968.00 349 360
## 11 3200 700.00 70 360
## 12 2500 1840.00 109 360
## 13 3073 8106.00 200 360
## 14 1853 2840.00 114 360
## 15 1299 1086.00 17 120
## 16 4950 0.00 125 360
## 17 3596 0.00 100 240
## 18 3510 0.00 76 360
## 19 4887 0.00 133 360
## 20 2600 3500.00 115 0
## 21 7660 0.00 104 360
## 22 5955 5625.00 315 360
## 23 2600 1911.00 116 360
## 24 3365 1917.00 112 360
## 25 3717 2925.00 151 360
## 26 9560 0.00 191 360
## 27 2799 2253.00 122 360
## 28 4226 1040.00 110 360
## 29 1442 0.00 35 360
## 30 3750 2083.00 120 360
## 31 4166 3369.00 201 360
## 32 3167 0.00 74 360
## 33 4692 0.00 106 360
## 34 3500 1667.00 114 360
## 35 12500 3000.00 320 360
## 36 2275 2067.00 0 360
## 37 1828 1330.00 100 0
## 38 3667 1459.00 144 360
## 39 4166 7210.00 184 360
## 40 3748 1668.00 110 360
## 41 3600 0.00 80 360
## 42 1800 1213.00 47 360
## 43 2400 0.00 75 360
## 44 3941 2336.00 134 360
## 45 4695 0.00 96 0
## 46 3410 0.00 88 0
## 47 5649 0.00 44 360
## 48 5821 0.00 144 360
## 49 2645 3440.00 120 360
## 50 4000 2275.00 144 360
## 51 1928 1644.00 100 360
## 52 3086 0.00 120 360
## 53 4230 0.00 112 360
## 54 4616 0.00 134 360
## 55 11500 0.00 286 360
## 56 2708 1167.00 97 360
## 57 2132 1591.00 96 360
## 58 3366 2200.00 135 360
## 59 8080 2250.00 180 360
## 60 3357 2859.00 144 360
## 61 2500 3796.00 120 360
## 62 3029 0.00 99 360
## 63 2609 3449.00 165 180
## 64 4945 0.00 0 360
## 65 4166 0.00 116 360
## 66 5726 4595.00 258 360
## 67 3200 2254.00 126 180
## 68 10750 0.00 312 360
## 69 7100 0.00 125 60
## 70 4300 0.00 136 360
## 71 3208 3066.00 172 360
## 72 1875 1875.00 97 360
## 73 3500 0.00 81 300
## 74 4755 0.00 95 0
## 75 5266 1774.00 187 360
## 76 3750 0.00 113 480
## 77 3750 4750.00 176 360
## 78 1000 3022.00 110 360
## 79 3167 4000.00 180 300
## 80 3333 2166.00 130 360
## 81 3846 0.00 111 360
## 82 2395 0.00 0 360
## 83 1378 1881.00 167 360
## 84 6000 2250.00 265 360
## 85 3988 0.00 50 240
## 86 2366 2531.00 136 360
## 87 3333 2000.00 99 360
## 88 2500 2118.00 104 360
## 89 8566 0.00 210 360
## 90 5695 4167.00 175 360
## 91 2958 2900.00 131 360
## 92 6250 5654.00 188 180
## 93 3273 1820.00 81 360
## 94 4133 0.00 122 360
## 95 3620 0.00 25 120
## 96 6782 0.00 0 360
## 97 2484 2302.00 137 360
## 98 1977 997.00 50 360
## 99 4188 0.00 115 180
## 100 1759 3541.00 131 360
## 101 4288 3263.00 133 180
## 102 4843 3806.00 151 360
## 103 13650 0.00 0 360
## 104 4652 3583.00 0 360
## 105 3816 754.00 160 360
## 106 3052 1030.00 100 360
## 107 11417 1126.00 225 360
## 108 7333 0.00 120 360
## 109 3800 3600.00 216 360
## 110 2071 754.00 94 480
## 111 5316 0.00 136 360
## 112 2929 2333.00 139 360
## 113 3572 4114.00 152 0
## 114 7451 0.00 0 360
## 115 5050 0.00 118 360
## 116 14583 0.00 185 180
## 117 3167 2283.00 154 360
## 118 2214 1398.00 85 360
## 119 5568 2142.00 175 360
## 120 10408 0.00 259 360
## 121 5667 2667.00 180 360
## 122 4166 0.00 44 360
## 123 2137 8980.00 137 360
## 124 2957 0.00 81 360
## 125 4300 2014.00 194 360
## 126 3692 0.00 93 360
## 127 23803 0.00 370 360
## 128 3865 1640.00 0 360
## 129 10513 3850.00 160 180
## 130 6080 2569.00 182 360
## 131 20166 0.00 650 480
## 132 2014 1929.00 74 360
## 133 2718 0.00 70 360
## 134 3459 0.00 25 120
## 135 4895 0.00 102 360
## 136 4000 7750.00 290 360
## 137 4583 0.00 84 360
## 138 3316 3500.00 88 360
## 139 14999 0.00 242 360
## 140 4200 1430.00 129 360
## 141 5042 2083.00 185 360
## 142 5417 0.00 168 360
## 143 6950 0.00 175 180
## 144 2698 2034.00 122 360
## 145 11757 0.00 187 180
## 146 2330 4486.00 100 360
## 147 14866 0.00 70 360
## 148 1538 1425.00 30 360
## 149 10000 1666.00 225 360
## 150 4860 830.00 125 360
## 151 6277 0.00 118 360
## 152 2577 3750.00 152 360
## 153 9166 0.00 244 360
## 154 2281 0.00 113 360
## 155 3254 0.00 50 360
## 156 39999 0.00 600 180
## 157 6000 0.00 160 360
## 158 9538 0.00 187 360
## 159 2980 2083.00 120 360
## 160 4583 5625.00 255 360
## 161 1863 1041.00 98 360
## 162 7933 0.00 275 360
## 163 3089 1280.00 121 360
## 164 4167 1447.00 158 360
## 165 9323 0.00 75 180
## 166 3707 3166.00 182 0
## 167 4583 0.00 112 360
## 168 2439 3333.00 129 360
## 169 2237 0.00 63 480
## 170 8000 0.00 200 360
## 171 1820 1769.00 95 360
## 172 51763 0.00 700 300
## 173 3522 0.00 81 180
## 174 5708 5625.00 187 360
## 175 4344 736.00 87 360
## 176 3497 1964.00 116 360
## 177 2045 1619.00 101 360
## 178 5516 11300.00 495 360
## 179 3750 0.00 116 360
## 180 2333 1451.00 102 480
## 181 6400 7250.00 180 360
## 182 1916 5063.00 67 360
## 183 4600 0.00 73 180
## 184 33846 0.00 260 360
## 185 3625 0.00 108 360
## 186 39147 4750.00 120 360
## 187 2178 0.00 66 300
## 188 2383 2138.00 58 360
## 189 674 5296.00 168 360
## 190 9328 0.00 188 180
## 191 4885 0.00 48 360
## 192 12000 0.00 164 360
## 193 6033 0.00 160 360
## 194 3858 0.00 76 360
## 195 4191 0.00 120 360
## 196 3125 2583.00 170 360
## 197 8333 3750.00 187 360
## 198 1907 2365.00 120 0
## 199 3416 2816.00 113 360
## 200 11000 0.00 83 360
## 201 2600 2500.00 90 360
## 202 4923 0.00 166 360
## 203 3992 0.00 0 180
## 204 3500 1083.00 135 360
## 205 3917 0.00 124 360
## 206 4408 0.00 120 360
## 207 3244 0.00 80 360
## 208 3975 2531.00 55 360
## 209 2479 0.00 59 360
## 210 3418 0.00 127 360
## 211 10000 0.00 214 360
## 212 3430 1250.00 128 360
## 213 7787 0.00 240 360
## 214 5703 0.00 130 360
## 215 3173 3021.00 137 360
## 216 3850 983.00 100 360
## 217 150 1800.00 135 360
## 218 3727 1775.00 131 360
## 219 5000 0.00 72 360
## 220 4283 2383.00 127 360
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## 614 02.5 Penanganan Data Numerik
2.5.1 Standarisasi
datstan<-as.data.frame(lapply(datn,scale))
datstan## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 0.072931360 -0.5540356092 -1.597975056 0.3139064
## 2 -0.134302453 -0.0386999953 -0.149038146 0.3139064
## 3 -0.393426565 -0.5540356092 -0.850866962 0.3139064
## 4 -0.461686044 0.2517743230 -0.239596703 0.3139064
## 5 0.097648821 -0.5540356092 -0.001880491 0.3139064
## 6 0.002216504 0.8798823193 1.424416780 0.3139064
## 7 -0.502608993 -0.0359661193 -0.522592193 0.3139064
## 8 -0.387533661 0.3016675588 0.190556442 0.3139064
## 9 -0.228752619 -0.0325487744 0.303754638 0.3139064
## 10 1.217464394 3.1941082993 2.352641988 0.3139064
## 11 -0.360688206 -0.3148214648 -0.805587683 0.3139064
## 12 -0.475272463 0.0747558561 -0.364114719 0.3139064
## 13 -0.381477064 2.2160641831 0.665988866 0.3139064
## 14 -0.581181055 0.4164903481 -0.307515621 0.3139064
## 15 -0.671866309 -0.1829119509 -1.405538123 -2.6063742
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## 614 -1.84707892.5.2 Normalisasi
datnorm<-function(x){return((x-min(x))/(max(x)-min(x)))}
datnormal<-as.data.frame(lapply(datn,datnorm))
datnormal## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 0.070488559 0.0000000000 0.00000000 0.750
## 2 0.054829932 0.0361917105 0.18285714 0.750
## 3 0.035250464 0.0000000000 0.09428571 0.750
## 4 0.030092764 0.0565915473 0.17142857 0.750
## 5 0.072356215 0.0000000000 0.20142857 0.750
## 6 0.065145331 0.1007031944 0.38142857 0.750
## 7 0.027000618 0.0363837089 0.13571429 0.750
## 8 0.035695733 0.0600955192 0.22571429 0.750
## 9 0.047693259 0.0366237070 0.24000000 0.750
## 10 0.156969697 0.2632298942 0.49857143 0.750
## 11 0.037724181 0.0167998656 0.10000000 0.750
## 12 0.029066172 0.0441596467 0.15571429 0.750
## 13 0.036153370 0.1945424437 0.28571429 0.750
## 14 0.021063698 0.0681594547 0.16285714 0.750
## 15 0.014211503 0.0260637915 0.02428571 0.250
## 16 0.059369202 0.0000000000 0.17857143 0.750
## 17 0.042622140 0.0000000000 0.14285714 0.500
## 18 0.041558442 0.0000000000 0.10857143 0.750
## 19 0.058589981 0.0000000000 0.19000000 0.750
## 20 0.030303030 0.0839993280 0.16428571 0.000
## 21 0.092888064 0.0000000000 0.14857143 0.750
## 22 0.071799629 0.1349989200 0.45000000 0.750
## 23 0.030303030 0.0458636331 0.16571429 0.750
## 24 0.039764997 0.0460076319 0.16000000 0.750
## 25 0.044118738 0.0701994384 0.21571429 0.750
## 26 0.116388374 0.0000000000 0.27285714 0.750
## 27 0.032764378 0.0540715674 0.17428571 0.750
## 28 0.050414348 0.0249598003 0.15714286 0.750
## 29 0.015980210 0.0000000000 0.05000000 0.750
## 30 0.044526902 0.0499916001 0.17142857 0.750
## 31 0.049672233 0.0808553532 0.28714286 0.750
## 32 0.037316017 0.0000000000 0.10571429 0.750
## 33 0.056178108 0.0000000000 0.15142857 0.750
## 34 0.041434756 0.0400076799 0.16285714 0.750
## 35 0.152752010 0.0719994240 0.45714286 0.750
## 36 0.026283241 0.0496076031 0.00000000 0.750
## 37 0.020754484 0.0319197446 0.14285714 0.000
## 38 0.043500309 0.0350157199 0.20571429 0.750
## 39 0.049672233 0.1730386157 0.26285714 0.750
## 40 0.044502165 0.0400316797 0.15714286 0.750
## 41 0.042671614 0.0000000000 0.11428571 0.750
## 42 0.020408163 0.0291117671 0.06714286 0.750
## 43 0.027829314 0.0000000000 0.10714286 0.750
## 44 0.046889301 0.0560635515 0.19142857 0.750
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## 70 0.051329623 0.0000000000 0.19428571 0.750
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## 79 0.037316017 0.0959992320 0.25714286 0.625
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## 81 0.045714286 0.0000000000 0.15857143 0.750
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## 88 0.029066172 0.0508315933 0.14857143 0.750
## 89 0.104094001 0.0000000000 0.30000000 0.750
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## 111 0.063896104 0.0000000000 0.19428571 0.750
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## 122 0.049672233 0.0000000000 0.06285714 0.750
## 123 0.024576376 0.2155182759 0.19571429 0.750
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## 126 0.043809524 0.0000000000 0.13285714 0.750
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## 130 0.073345702 0.0616555068 0.26000000 0.750
## 131 0.247569573 0.0000000000 0.92857143 1.000
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## 133 0.031762523 0.0000000000 0.10000000 0.750
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## 146 0.026963513 0.1076631387 0.14285714 0.750
## 147 0.182016079 0.0000000000 0.10000000 0.750
## 148 0.017167594 0.0341997264 0.04285714 0.750
## 149 0.121830550 0.0399836801 0.32142857 0.750
## 150 0.058256030 0.0199198406 0.17857143 0.750
## 151 0.075782313 0.0000000000 0.16857143 0.750
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## 153 0.111515152 0.0000000000 0.34857143 0.750
## 154 0.026357452 0.0000000000 0.16142857 0.750
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## 156 0.492875696 0.0000000000 0.85714286 0.375
## 157 0.072356215 0.0000000000 0.22857143 0.750
## 158 0.116116265 0.0000000000 0.26714286 0.750
## 159 0.035003092 0.0499916001 0.17142857 0.750
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## 163 0.036351268 0.0307197542 0.17285714 0.750
## 164 0.049684601 0.0347277222 0.22571429 0.750
## 165 0.113457019 0.0000000000 0.10714286 0.375
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## 167 0.054829932 0.0000000000 0.16000000 0.750
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## 173 0.041706865 0.0000000000 0.11571429 0.375
## 174 0.068744589 0.1349989200 0.26714286 0.750
## 175 0.051873840 0.0176638587 0.12428571 0.750
## 176 0.041397650 0.0471356229 0.16571429 0.750
## 177 0.023438466 0.0388556892 0.14428571 0.750
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## 179 0.044526902 0.0000000000 0.16571429 0.750
## 180 0.027000618 0.0348237214 0.14571429 1.000
## 181 0.077303649 0.1739986080 0.25714286 0.750
## 182 0.021842919 0.1215110279 0.09571429 0.750
## 183 0.055040198 0.0000000000 0.10428571 0.375
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## 187 0.025083488 0.0000000000 0.09428571 0.625
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## 198 0.021731602 0.0567595459 0.17142857 0.000
## 199 0.040395795 0.0675834593 0.16142857 0.750
## 200 0.134199134 0.0000000000 0.11857143 0.750
## 201 0.030303030 0.0599995200 0.12857143 0.750
## 202 0.059035250 0.0000000000 0.23714286 0.750
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## 205 0.046592455 0.0000000000 0.17714286 0.750
## 206 0.052665430 0.0000000000 0.17142857 0.750
## 207 0.038268398 0.0000000000 0.11428571 0.750
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## 209 0.028806432 0.0000000000 0.08428571 0.750
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## 213 0.094458874 0.0000000000 0.34285714 0.750
## 214 0.068682746 0.0000000000 0.18571429 0.750
## 215 0.037390229 0.0725034200 0.19571429 0.750
## 216 0.045763760 0.0235918113 0.14285714 0.750
## 217 0.000000000 0.0431996544 0.19285714 0.750
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## 220 0.051119357 0.0571915425 0.18142857 0.750
## 221 0.025615337 0.0000000000 0.08571429 0.750
## 222 0.047730365 0.0412076703 0.16571429 0.750
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## 228 0.075448361 0.0406796746 0.30000000 0.750
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## 230 0.077303649 0.0000000000 0.28571429 0.750
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## 234 0.101212121 0.0000000000 0.40000000 0.750
## 235 0.037167594 0.0426956584 0.20000000 0.750
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## 237 0.069214595 0.0000000000 0.36428571 0.750
## 238 0.040977118 0.0000000000 0.17428571 0.750
## 239 0.045293754 0.0000000000 0.16000000 0.750
## 240 0.039146568 0.0000000000 0.13714286 0.750
## 241 0.070117502 0.1199990400 0.17142857 0.750
## 242 0.029189858 0.0475916193 0.20000000 0.375
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## 244 0.075448361 0.0311997504 0.15428571 0.750
## 245 0.040272109 0.1060071519 0.17571429 0.750
## 246 0.072974644 0.1039911681 0.17142857 0.375
## 247 0.118157081 0.0000000000 0.16000000 0.750
## 248 0.079876314 0.0000000000 0.19571429 0.375
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## 250 0.020519481 0.0448316413 0.12857143 0.750
## 251 0.018775510 0.0933592531 0.28714286 0.750
## 252 0.040531849 0.0000000000 0.19714286 0.750
## 253 0.030092764 0.0520075839 0.14857143 0.750
## 254 0.031057514 0.1704226366 0.39857143 0.375
## 255 0.199134199 0.0000000000 0.27428571 0.750
## 256 0.036277056 0.0000000000 0.36428571 0.750
## 257 0.072912801 0.0000000000 0.16428571 0.750
## 258 0.063079777 0.0000000000 0.13428571 0.750
## 259 0.179752628 0.0503995968 0.43428571 0.750
## 260 0.059134199 0.0000000000 0.18285714 0.750
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## 262 0.023623995 0.0530155759 0.19142857 0.750
## 263 0.041199753 0.0000000000 0.22142857 0.075
## 264 0.087198516 0.0000000000 0.17142857 0.750
## 265 0.062040816 0.0000000000 0.18285714 0.750
## 266 0.048794063 0.0827273382 0.21571429 0.750
## 267 0.056376005 0.0332877337 0.21428571 0.750
## 268 0.051737786 0.0434636523 0.22857143 0.750
## 269 0.040420532 0.0000000000 0.19285714 0.750
## 270 0.033716759 0.0374397005 0.12857143 0.750
## 271 0.038181818 0.0000000000 0.04285714 0.750
## 272 0.136004947 0.0000000000 0.19428571 0.750
## 273 0.033184910 0.0445676435 0.18000000 0.750
## 274 0.030550402 0.0533515732 0.21428571 0.750
## 275 0.046382189 0.0000000000 0.12857143 0.750
## 276 0.032158318 0.0442076463 0.16428571 0.750
## 277 0.047532468 0.0785753714 0.29571429 0.750
## 278 0.036524428 0.0311997504 0.11428571 0.750
## 279 0.178515770 0.0000000000 0.62285714 0.750
## 280 0.048855906 0.0000000000 0.17714286 0.750
## 281 0.048274583 0.0582235342 0.22571429 0.750
## 282 0.046716141 0.0191998464 0.16000000 0.750
## 283 0.026604824 0.0236590104 0.11142857 0.375
## 284 0.020544218 0.0399836801 0.07714286 0.750
## 285 0.253766234 0.0000000000 0.00000000 0.750
## 286 0.037204700 0.0732714138 0.12714286 0.750
## 287 0.030303030 0.0412076703 0.14142857 0.625
## 288 0.043957947 0.0479996160 0.17142857 0.750
## 289 0.049152752 0.0000000000 0.16428571 0.750
## 290 0.115745207 0.0000000000 0.26714286 0.750
## 291 0.036178108 0.0579835361 0.19857143 0.750
## 292 0.052566481 0.0000000000 0.18142857 0.750
## 293 0.037142857 0.0374397005 0.19142857 0.750
## 294 0.065145331 0.0000000000 0.20428571 1.000
## 295 0.027619048 0.0800153599 0.24571429 0.750
## 296 0.052764378 0.0299997600 0.15714286 0.750
## 297 0.083178726 0.0000000000 0.28571429 0.750
## 298 0.055856524 0.0000000000 0.19285714 0.750
## 299 0.059987631 0.0609835121 0.21571429 1.000
## 300 0.023055040 0.0701994384 0.16142857 0.750
## 301 0.020408163 0.0704154367 0.13285714 0.750
## 302 0.033704391 0.0419996640 0.15000000 0.750
## 303 0.059987631 0.0000000000 0.18857143 0.750
## 304 0.018243661 0.0432716538 0.13714286 0.750
## 305 0.047619048 0.0599995200 0.20000000 0.750
## 306 0.022881880 0.0000000000 0.00000000 0.750
## 307 0.044675325 0.0399836801 0.19285714 0.750
## 308 0.027829314 0.0447116423 0.14857143 0.750
## 309 0.248398268 0.0000000000 0.68571429 0.750
## 310 0.092974644 0.0000000000 0.26428571 0.750
## 311 0.034223871 0.0000000000 0.12000000 0.750
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## 315 0.028732220 0.0442316461 0.22714286 0.750
## 316 0.040185529 0.0393596851 0.15857143 0.375
## 317 0.044118738 0.0000000000 0.17142857 0.750
## 318 0.023599258 0.0512155903 0.12571429 0.750
## 319 0.041941868 0.0000000000 0.16000000 0.750
## 320 0.121830550 0.0000000000 0.22142857 0.750
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## 323 0.042683983 0.0381596947 0.00000000 0.750
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## 325 0.183673469 0.0000000000 0.42857143 0.750
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## 327 0.058961039 0.0000000000 0.18571429 0.750
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## 329 0.051737786 0.0588235294 0.15714286 0.750
## 330 0.029066172 0.0000000000 0.09571429 0.750
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## 332 0.034446506 0.0000000000 0.14000000 0.750
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## 338 0.029066172 0.1103991168 0.25142857 0.750
## 339 0.020779221 0.0000000000 0.00000000 0.750
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## 344 0.037390229 0.0000000000 0.10571429 0.750
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## 346 0.029053803 0.0589915281 0.22857143 0.750
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## 348 0.036277056 0.0520315837 0.18000000 0.750
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## 354 0.066171923 0.0000000000 0.15000000 0.750
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## 358 0.046072975 0.0000000000 0.09571429 0.750
## 359 0.035250464 0.0399836801 0.14285714 1.000
## 360 0.062053185 0.0760073919 0.28571429 0.750
## 361 0.056561534 0.0000000000 0.11571429 0.750
## 362 0.059987631 0.0880072959 0.33714286 0.750
## 363 0.056895485 0.0559915521 0.18571429 0.750
## 364 0.035411255 0.0727914177 0.13571429 0.625
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## 373 0.113457019 0.1889504884 0.54285714 0.625
## 374 0.036017316 0.0476876185 0.15857143 0.375
## 375 0.032331478 0.0350157199 0.15714286 0.750
## 376 0.057724181 0.0221518228 0.17142857 0.375
## 377 0.106369821 0.1199030408 0.18571429 0.750
## 378 0.051453309 0.0000000000 0.18571429 0.750
## 379 0.036103896 0.0000000000 0.10142857 1.000
## 380 0.064823748 0.0000000000 0.18571429 0.750
## 381 0.039369202 0.0599995200 0.18285714 0.750
## 382 0.071626469 0.1015671875 0.42285714 0.750
## 383 0.072356215 0.0000000000 0.22285714 0.750
## 384 0.086790353 0.0000000000 0.18285714 0.750
## 385 0.054619666 0.0000000000 0.14285714 0.750
## 386 0.043500309 0.0000000000 0.16142857 0.375
## 387 0.027161410 0.0383996928 0.18857143 0.750
## 388 0.035374150 0.0752633979 0.00000000 0.750
## 389 0.027000618 0.0580075359 0.19428571 0.750
## 390 0.066023500 0.0000000000 0.17857143 0.750
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## 392 0.115695733 0.0000000000 0.39285714 0.750
## 393 0.030092764 0.0507595939 0.17142857 0.750
## 394 0.022795300 0.0389996880 0.16142857 0.375
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## 610 1
## 611 1
## 612 1
## 613 1
## 614 02.5.3 Penskalaan Robust
datarob<-function(x){return((x-median(x))/(quantile(x,probs=.75)-quantile(x,probs=.25)))}
datro<-as.data.frame(lapply(datn,datarob))
datro## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 0.6980291345 -0.517357710 -1.87265918 NaN
## 2 0.2640959726 0.139079334 0.04494382 NaN
## 3 -0.2784918595 -0.517357710 -0.88389513 NaN
## 4 -0.4214224507 0.509086952 -0.07490637 NaN
## 5 0.7497857755 -0.517357710 0.23970037 NaN
## 6 0.5499571551 1.309174012 2.12734082 NaN
## 7 -0.5071122536 0.142561759 -0.44943820 NaN
## 8 -0.2661525278 0.572641201 0.49438202 NaN
## 9 0.0663239075 0.146914789 0.64419476 NaN
## 10 3.0946015424 4.257046469 3.35580524 NaN
## 11 -0.2099400171 -0.212645554 -0.82397004 NaN
## 12 -0.4498714653 0.283599956 -0.23970037 NaN
## 13 -0.2534704370 3.011209054 1.12359551 NaN
## 14 -0.6716366752 0.718903036 -0.16479401 NaN
## 15 -0.8615252785 -0.044618566 -1.61797753 -Inf
## 16 0.3898886033 -0.517357710 0.00000000 NaN
## 17 -0.0742073693 -0.517357710 -0.37453184 -Inf
## 18 -0.1036846615 -0.517357710 -0.73408240 NaN
## 19 0.3682947729 -0.517357710 0.11985019 NaN
## 20 -0.4155955441 1.006203069 -0.14981273 -Inf
## 21 1.3187660668 -0.517357710 -0.31460674 NaN
## 22 0.7343616110 1.931222113 2.84644195 NaN
## 23 -0.4155955441 0.314506475 -0.13483146 NaN
## 24 -0.1533847472 0.317118294 -0.19475655 NaN
## 25 -0.0327335047 0.755903798 0.38951311 NaN
## 26 1.9700085690 -0.517357710 0.98876404 NaN
## 27 -0.3473864610 0.463380128 -0.04494382 NaN
## 28 0.1417309340 -0.064642507 -0.22471910 NaN
## 29 -0.8125107112 -0.517357710 -1.34831461 NaN
## 30 -0.0214224507 0.389378605 -0.07490637 NaN
## 31 0.1211653813 0.949178365 1.13857678 NaN
## 32 -0.2212510711 -0.517357710 -0.76404494 NaN
## 33 0.3014567266 -0.517357710 -0.28464419 NaN
## 34 -0.1071122536 0.208292524 -0.16479401 NaN
## 35 2.9777206512 0.788551529 2.92134831 NaN
## 36 -0.5269922879 0.382413756 -1.87265918 NaN
## 37 -0.6802056555 0.061595386 -0.37453184 -Inf
## 38 -0.0498714653 0.117749483 0.28464419 NaN
## 39 0.1211653813 2.621177495 0.88389513 NaN
## 40 -0.0221079692 0.208727827 -0.22471910 NaN
## 41 -0.0728363325 -0.517357710 -0.67415730 NaN
## 42 -0.6898029135 0.010664925 -1.16853933 NaN
## 43 -0.4841473865 -0.517357710 -0.74906367 NaN
## 44 0.0440445587 0.499510284 0.13483146 NaN
## 45 0.3024850043 -0.517357710 -0.43445693 -Inf
## 46 -0.1379605827 -0.517357710 -0.55430712 -Inf
## 47 0.6294772922 -0.517357710 -1.21348315 NaN
## 48 0.6884318766 -0.517357710 0.28464419 NaN
## 49 -0.4001713796 0.980084884 -0.07490637 NaN
## 50 0.0642673522 0.472956796 0.28464419 NaN
## 51 -0.6459297344 0.198280553 -0.37453184 NaN
## 52 -0.2490145673 -0.517357710 -0.07490637 NaN
## 53 0.1431019709 -0.517357710 -0.19475655 NaN
## 54 0.2754070266 -0.517357710 0.13483146 NaN
## 55 2.6349614396 -0.517357710 2.41198502 NaN
## 56 -0.3785775493 -0.009359016 -0.41947566 NaN
## 57 -0.5760068552 0.175209490 -0.43445693 NaN
## 58 -0.1530419880 0.440309065 0.14981273 NaN
## 59 1.4627249357 0.462074219 0.82397004 NaN
## 60 -0.1561268209 0.727173795 0.28464419 NaN
## 61 -0.4498714653 1.135052780 -0.07490637 NaN
## 62 -0.2685518423 -0.517357710 -0.38951311 NaN
## 63 -0.4125107112 0.984002612 0.59925094 -Inf
## 64 0.3881748072 -0.517357710 -1.87265918 NaN
## 65 0.1211653813 -0.517357710 -0.13483146 NaN
## 66 0.6558697515 1.482859941 1.99250936 NaN
## 67 -0.2099400171 0.463815431 0.01498127 -Inf
## 68 2.3778920308 -0.517357710 2.80149813 NaN
## 69 1.1268209083 -0.517357710 0.00000000 -Inf
## 70 0.1670951157 -0.517357710 0.16479401 NaN
## 71 -0.2071979434 0.817281532 0.70411985 NaN
## 72 -0.6640959726 0.298835564 -0.41947566 NaN
## 73 -0.1071122536 -0.517357710 -0.65917603 -Inf
## 74 0.3230505570 -0.517357710 -0.44943820 -Inf
## 75 0.4982005141 0.254869953 0.92883895 NaN
## 76 -0.0214224507 -0.517357710 -0.17977528 Inf
## 77 -0.0214224507 1.550331919 0.76404494 NaN
## 78 -0.9640102828 0.798128197 -0.22471910 NaN
## 79 -0.2212510711 1.223854609 0.82397004 -Inf
## 80 -0.1643530420 0.425508760 0.07490637 NaN
## 81 0.0114824336 -0.517357710 -0.20973783 NaN
## 82 -0.4858611825 -0.517357710 -1.87265918 NaN
## 83 -0.8344473008 0.301447383 0.62921348 NaN
## 84 0.7497857755 0.462074219 2.09737828 NaN
## 85 0.0601542416 -0.517357710 -1.12359551 -Inf
## 86 -0.4958011997 0.584394385 0.16479401 NaN
## 87 -0.1643530420 0.353248449 -0.38951311 NaN
## 88 -0.4498714653 0.404614213 -0.31460674 NaN
## 89 1.6293059126 -0.517357710 1.27340824 NaN
## 90 0.6452442159 1.296550223 0.74906367 NaN
## 91 -0.2928877464 0.745021221 0.08988764 NaN
## 92 0.8354755784 1.943845903 0.94382022 -Inf
## 93 -0.1849185947 0.274893895 -0.65917603 NaN
## 94 0.1098543273 -0.517357710 -0.04494382 NaN
## 95 -0.0659811482 -0.517357710 -1.49812734 -Inf
## 96 1.0178234790 -0.517357710 -1.87265918 NaN
## 97 -0.4553556127 0.484709979 0.17977528 NaN
## 98 -0.6291345330 -0.083360540 -1.12359551 NaN
## 99 0.1287060840 -0.517357710 -0.14981273 -Inf
## 100 -0.7038560411 1.024050495 0.08988764 NaN
## 101 0.1629820051 0.903036239 0.11985019 -Inf
## 102 0.3532133676 1.139405811 0.38951311 NaN
## 103 3.3718937446 -0.517357710 -1.87265918 NaN
## 104 0.2877463582 1.042333225 -1.87265918 NaN
## 105 0.0011996572 -0.189139188 0.52434457 NaN
## 106 -0.2606683805 -0.068995538 -0.37453184 NaN
## 107 2.6065124250 -0.027206442 1.49812734 NaN
## 108 1.2066838046 -0.517357710 -0.07490637 NaN
## 109 -0.0042844901 1.049733377 1.36329588 NaN
## 110 -0.5969151671 -0.189139188 -0.46441948 Inf
## 111 0.5153384747 -0.517357710 0.16479401 NaN
## 112 -0.3028277635 0.498204375 0.20973783 NaN
## 113 -0.0824335904 1.273479160 0.40449438 -Inf
## 114 1.2471293916 -0.517357710 -1.87265918 NaN
## 115 0.4241645244 -0.517357710 -0.10486891 NaN
## 116 3.6916880891 -0.517357710 0.89887640 -Inf
## 117 -0.2212510711 0.476439221 0.43445693 NaN
## 118 -0.5479005998 0.091195995 -0.59925094 NaN
## 119 0.6017137961 0.415061487 0.74906367 NaN
## 120 2.2606683805 -0.517357710 2.00749064 NaN
## 121 0.6356469580 0.643595603 0.82397004 NaN
## 122 0.1211653813 -0.517357710 -1.21348315 NaN
## 123 -0.5742930591 3.391663946 0.17977528 NaN
## 124 -0.2932305056 -0.517357710 -0.65917603 NaN
## 125 0.1670951157 0.359342692 1.03370787 NaN
## 126 -0.0413024850 -0.517357710 -0.47940075 NaN
## 127 6.8519280206 -0.517357710 3.67041199 NaN
## 128 0.0179948586 0.196539341 -1.87265918 NaN
## 129 2.2966580977 1.158559147 0.52434457 -Inf
## 130 0.7772065124 0.600935902 0.85393258 NaN
## 131 5.6053127678 -0.517357710 7.86516854 Inf
## 132 -0.6164524422 0.322341931 -0.76404494 NaN
## 133 -0.3751499572 -0.517357710 -0.82397004 NaN
## 134 -0.1211653813 -0.517357710 -1.49812734 -Inf
## 135 0.3710368466 -0.517357710 -0.34456929 NaN
## 136 0.0642673522 2.856241158 2.47191011 NaN
## 137 0.2640959726 -0.517357710 -0.61423221 NaN
## 138 -0.1701799486 1.006203069 -0.55430712 NaN
## 139 3.8342759212 -0.517357710 1.75280899 NaN
## 140 0.1328191945 0.105125694 0.05992509 NaN
## 141 0.4214224507 0.389378605 0.89887640 NaN
## 142 0.5499571551 -0.517357710 0.64419476 NaN
## 143 1.0754070266 -0.517357710 0.74906367 -Inf
## 144 -0.3820051414 0.368048754 -0.04494382 NaN
## 145 2.7230505570 -0.517357710 0.92883895 -Inf
## 146 -0.5081405313 1.435411906 -0.37453184 NaN
## 147 3.7886889460 -0.517357710 -0.82397004 NaN
## 148 -0.7796058269 0.102949178 -1.42322097 NaN
## 149 2.1208226221 0.207857221 1.49812734 NaN
## 150 0.3590402742 -0.156056154 0.00000000 NaN
## 151 0.8447300771 -0.517357710 -0.10486891 NaN
## 152 -0.4234790060 1.115028839 0.40449438 NaN
## 153 1.8349614396 -0.517357710 1.78277154 NaN
## 154 -0.5249357326 -0.517357710 -0.17977528 NaN
## 155 -0.1914310197 -0.517357710 -1.12359551 NaN
## 156 12.4032562125 -0.517357710 7.11610487 -Inf
## 157 0.7497857755 -0.517357710 0.52434457 NaN
## 158 1.9624678663 -0.517357710 0.92883895 NaN
## 159 -0.2853470437 0.389378605 -0.07490637 NaN
## 160 0.2640959726 1.931222113 1.94756554 NaN
## 161 -0.6682090831 -0.064207204 -0.40449438 NaN
## 162 1.4123393316 -0.517357710 2.24719101 NaN
## 163 -0.2479862896 0.039830232 -0.05992509 NaN
## 164 0.1215081405 0.112525846 0.49438202 NaN
## 165 1.8887746358 -0.517357710 -0.74906367 -Inf
## 166 -0.0361610968 0.860811840 0.85393258 -Inf
## 167 0.2640959726 -0.517357710 -0.19475655 NaN
## 168 -0.4707797772 0.933507455 0.05992509 NaN
## 169 -0.5400171380 -0.517357710 -0.92883895 Inf
## 170 1.4353041988 -0.517357710 1.12359551 NaN
## 171 -0.6829477292 0.252693438 -0.44943820 NaN
## 172 16.4354755784 -0.517357710 8.61423221 -Inf
## 173 -0.0995715510 -0.517357710 -0.65917603 -Inf
## 174 0.6497000857 1.931222113 0.92883895 NaN
## 175 0.1821765210 -0.196974644 -0.56928839 NaN
## 176 -0.1081405313 0.337577538 -0.13483146 NaN
## 177 -0.6058269066 0.187397976 -0.35955056 NaN
## 178 0.5838903171 4.401567091 5.54307116 NaN
## 179 -0.0214224507 -0.517357710 -0.13483146 NaN
## 180 -0.5071122536 0.114267058 -0.34456929 Inf
## 181 0.8868894602 2.638589618 0.82397004 NaN
## 182 -0.6500428449 1.686581783 -0.86891386 NaN
## 183 0.2699228792 -0.517357710 -0.77902622 -Inf
## 184 10.2942587832 -0.517357710 2.02247191 NaN
## 185 -0.0642673522 -0.517357710 -0.25468165 NaN
## 186 12.1112253642 1.550331919 -0.07490637 NaN
## 187 -0.5602399314 -0.517357710 -0.88389513 -Inf
## 188 -0.4899742931 0.413320274 -1.00374532 NaN
## 189 -1.0757497858 1.788007400 0.64419476 NaN
## 190 1.8904884319 -0.517357710 0.94382022 -Inf
## 191 0.3676092545 -0.517357710 -1.15355805 NaN
## 192 2.8063410454 -0.517357710 0.58426966 NaN
## 193 0.7610968295 -0.517357710 0.52434457 NaN
## 194 0.0155955441 -0.517357710 -0.73408240 NaN
## 195 0.1297343616 -0.517357710 -0.07490637 NaN
## 196 -0.2356469580 0.607030145 0.67415730 NaN
## 197 1.5494430163 1.115028839 0.92883895 NaN
## 198 -0.6531276778 0.512134073 -0.07490637 -Inf
## 199 -0.1359040274 0.708455762 -0.17977528 NaN
## 200 2.4635818338 -0.517357710 -0.62921348 NaN
## 201 -0.4155955441 0.570899989 -0.52434457 NaN
## 202 0.3806341045 -0.517357710 0.61423221 NaN
## 203 0.0615252785 -0.517357710 -1.87265918 -Inf
## 204 -0.1071122536 -0.045924475 0.14981273 NaN
## 205 0.0358183376 -0.517357710 -0.01498127 NaN
## 206 0.2041131105 -0.517357710 -0.07490637 NaN
## 207 -0.1948586118 -0.517357710 -0.67415730 NaN
## 208 0.0556983719 0.584394385 -1.04868914 NaN
## 209 -0.4570694087 -0.517357710 -0.98876404 NaN
## 210 -0.1352185090 -0.517357710 0.02996255 NaN
## 211 2.1208226221 -0.517357710 1.33333333 NaN
## 212 -0.1311053985 0.026771139 0.04494382 NaN
## 213 1.3622964867 -0.517357710 1.72284644 NaN
## 214 0.6479862896 -0.517357710 0.07490637 NaN
## 215 -0.2191945159 0.797692894 0.17977528 NaN
## 216 0.0128534704 -0.089454783 -0.37453184 NaN
## 217 -1.2553556127 0.266187833 0.14981273 NaN
## 218 -0.0293059126 0.255305256 0.08988764 NaN
## 219 0.4070265638 -0.517357710 -0.79400749 NaN
## 220 0.1612682091 0.519969529 0.02996255 NaN
## 221 -0.5455012853 -0.517357710 -0.97378277 NaN
## 222 0.0673521851 0.230057678 -0.13483146 NaN
## 223 -0.2884318766 0.697573185 0.28464419 NaN
## 224 1.2906598115 -0.077701600 0.74906367 -Inf
## 225 0.8354755784 -0.517357710 0.04494382 NaN
## 226 -0.1928020566 -0.517357710 0.67415730 NaN
## 227 0.3161953728 -0.517357710 0.19475655 NaN
## 228 0.8354755784 0.220481010 1.27340824 NaN
## 229 0.3240788346 -0.517357710 0.49438202 Inf
## 230 0.8868894602 -0.517357710 1.12359551 NaN
## 231 -0.4529562982 0.376754816 -0.31460674 NaN
## 232 -0.0330762639 -0.517357710 -1.24344569 -Inf
## 233 -0.2137103685 0.613559691 -0.07490637 -Inf
## 234 1.5494430163 -0.517357710 2.32209738 NaN
## 235 -0.2253641817 0.257046469 0.22471910 NaN
## 236 0.5784061697 0.031124170 0.67415730 NaN
## 237 0.6627249357 -0.517357710 1.94756554 NaN
## 238 -0.1197943445 -0.517357710 -0.04494382 NaN
## 239 -0.0001713796 -0.517357710 -0.19475655 NaN
## 240 -0.1705227078 -0.517357710 -0.43445693 NaN
## 241 0.6877463582 1.659157689 -0.07490637 NaN
## 242 -0.4464438732 0.345848297 0.22471910 -Inf
## 243 -0.2904884319 1.964305147 0.44943820 -Inf
## 244 0.8354755784 0.048536293 -0.25468165 NaN
## 245 -0.1393316195 1.405375993 -0.02996255 NaN
## 246 0.7669237361 1.368810534 -0.07490637 -Inf
## 247 2.0190231362 -0.517357710 -0.19475655 NaN
## 248 0.9581833762 -0.517357710 0.17977528 -Inf
## 249 -0.3189374464 0.284905866 -0.02996255 Inf
## 250 -0.6867180805 0.295788443 -0.52434457 NaN
## 251 -0.7350471294 1.175971270 1.13857678 NaN
## 252 -0.1321336761 -0.517357710 0.19475655 NaN
## 253 -0.4214224507 0.425944064 -0.31460674 NaN
## 254 -0.3946872322 2.573729459 2.30711610 -Inf
## 255 4.2630676949 -0.517357710 1.00374532 NaN
## 256 -0.2500428449 -0.517357710 1.94756554 NaN
## 257 0.7652099400 -0.517357710 -0.14981273 NaN
## 258 0.4927163668 -0.517357710 -0.46441948 NaN
## 259 3.7259640103 0.396778757 2.68164794 NaN
## 260 0.3833761782 -0.517357710 0.04494382 NaN
## 261 0.7782347901 1.332680379 3.07116105 NaN
## 262 -0.6006855184 0.444226793 0.13483146 NaN
## 263 -0.1136246787 -0.517357710 0.44943820 -Inf
## 264 1.1610968295 -0.517357710 -0.07490637 NaN
## 265 0.4639245930 -0.517357710 0.04494382 NaN
## 266 0.0968294773 0.983132006 0.38951311 NaN
## 267 0.3069408740 0.086407661 0.37453184 NaN
## 268 0.1784061697 0.270976167 0.52434457 NaN
## 269 -0.1352185090 -0.517357710 0.14981273 NaN
## 270 -0.3209940017 0.161715094 -0.52434457 NaN
## 271 -0.1972579263 -0.517357710 -1.42322097 NaN
## 272 2.5136246787 -0.517357710 0.16479401 NaN
## 273 -0.3357326478 0.291000109 0.01498127 NaN
## 274 -0.4087403599 0.450321036 0.37453184 NaN
## 275 0.0299914310 -0.517357710 -0.52434457 NaN
## 276 -0.3641816624 0.284470563 -0.14981273 NaN
## 277 0.0618680377 0.907824573 1.22846442 NaN
## 278 -0.2431876607 0.048536293 -0.67415730 NaN
## 279 3.6916880891 -0.517357710 4.65917603 NaN
## 280 0.0985432734 -0.517357710 -0.01498127 NaN
## 281 0.0824335904 0.538687561 0.49438202 NaN
## 282 0.0392459297 -0.169115246 -0.19475655 NaN
## 283 -0.5180805484 -0.088235940 -0.70411985 -Inf
## 284 -0.6860325621 0.207857221 -1.06367041 NaN
## 285 5.7770351328 -0.517357710 -1.87265918 NaN
## 286 -0.2243359040 0.811622592 -0.53932584 NaN
## 287 -0.4155955441 0.230057678 -0.38951311 -Inf
## 288 -0.0371893745 0.353248449 -0.07490637 NaN
## 289 0.1067694944 -0.517357710 -0.14981273 NaN
## 290 1.9521850900 -0.517357710 0.92883895 NaN
## 291 -0.2527849186 0.534334530 0.20973783 NaN
## 292 0.2013710368 -0.517357710 0.02996255 NaN
## 293 -0.2260497001 0.161715094 0.13483146 NaN
## 294 0.5499571551 -0.517357710 0.26966292 Inf
## 295 -0.4899742931 0.933942758 0.70411985 NaN
## 296 0.2068551842 0.026771139 -0.22471910 NaN
## 297 1.0497000857 -0.517357710 1.12359551 NaN
## 298 0.2925449871 -0.517357710 0.14981273 NaN
## 299 0.4070265638 0.588747415 0.38951311 Inf
## 300 -0.6164524422 0.755903798 -0.17977528 NaN
## 301 -0.6898029135 0.759821526 -0.47940075 NaN
## 302 -0.3213367609 0.244422679 -0.29962547 NaN
## 303 0.4070265638 -0.517357710 0.10486891 NaN
## 304 -0.7497857755 0.267493743 -0.43445693 NaN
## 305 0.0642673522 0.570899989 0.22471910 NaN
## 306 -0.6212510711 -0.517357710 -1.87265918 NaN
## 307 -0.0173093402 0.207857221 0.14981273 NaN
## 308 -0.4841473865 0.293611927 -0.31460674 NaN
## 309 5.6282776350 -0.517357710 5.31835206 NaN
## 310 1.3211653813 -0.517357710 0.89887640 NaN
## 311 -0.3069408740 -0.517357710 -0.61423221 NaN
## 312 -0.3035132819 0.529546197 -0.20973783 NaN
## 313 -0.4474721508 -0.517357710 -1.03370787 NaN
## 314 0.6627249357 -0.517357710 0.28464419 -Inf
## 315 -0.4591259640 0.284905866 0.50936330 NaN
## 316 -0.1417309340 0.196539341 -0.20973783 -Inf
## 317 -0.0327335047 -0.517357710 -0.07490637 NaN
## 318 -0.6013710368 0.411579062 -0.55430712 NaN
## 319 -0.0930591260 -0.517357710 -0.19475655 NaN
## 320 2.1208226221 -0.517357710 0.44943820 NaN
## 321 -0.4841473865 0.425944064 -0.14981273 NaN
## 322 0.1814910026 -0.435085428 -0.01498127 NaN
## 323 -0.0724935733 0.174774187 -1.87265918 NaN
## 324 -0.2215938303 0.782021983 0.10486891 NaN
## 325 3.8346186804 -0.517357710 2.62172285 NaN
## 326 1.6635818338 1.651757536 3.76029963 NaN
## 327 0.3785775493 -0.517357710 0.07490637 NaN
## 328 0.6874035990 0.422896942 0.88389513 NaN
## 329 0.1784061697 0.549570138 -0.22471910 NaN
## 330 -0.4498714653 -0.517357710 -0.86891386 NaN
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## 561 NaN
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## 570 -Inf
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## 574 NaN
## 575 NaN
## 576 NaN
## 577 -Inf
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## 582 NaN
## 583 NaN
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## 590 -Inf
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## 594 NaN
## 595 NaN
## 596 NaN
## 597 NaN
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## 600 NaN
## 601 -Inf
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## 603 NaN
## 604 NaN
## 605 NaN
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## 607 NaN
## 608 NaN
## 609 NaN
## 610 NaN
## 611 NaN
## 612 NaN
## 613 NaN
## 614 -Inf2.6 Penanganan Data Pencilan
library(magrittr)
library(dplyr)
dt <- dat
outliers<-function(x){
Q1 <- quantile (x, probs=.25)
Q3 <- quantile(x, probs=.75)
iqr = Q3-Q1
upper_limit =Q3 + (iqr*1.5)
lower_limit =Q1 -(iqr*1.5)
x > upper_limit | x < lower_limit}
outlier1 <- subset(dt, outliers (dt$LoanAmount))
outlier2 <- subset(dt, outliers (dt$ApplicantIncome))
outlier3 <- subset(dt, outliers (dt$CoapplicantIncome))
dtlier <- rbind(outlier1, outlier2, outlier3) %>% distinct()
dtlier## Loan_ID Gender Married Dependents Education Self_Employed
## 6 LP001011 Male Yes 2 Graduate Yes
## 10 LP001020 Male Yes 1 Graduate No
## 22 LP001046 Male Yes 1 Graduate No
## 35 LP001100 Male No 3+ Graduate No
## 55 LP001186 Female Yes 1 Graduate Yes
## 68 LP001233 Male Yes 1 Graduate No
## 84 LP001273 Male Yes 0 Graduate No
## 127 LP001448 Yes 3+ Graduate No
## 131 LP001469 Male No 0 Graduate Yes
## 136 LP001488 Male Yes 3+ Graduate No
## 156 LP001536 Male Yes 3+ Graduate No
## 162 LP001562 Male Yes 0 Graduate No
## 172 LP001585 Yes 3+ Graduate No
## 178 LP001610 Male Yes 3+ Graduate No
## 234 LP001776 Female No 0 Graduate No
## 254 LP001843 Male Yes 1 Not Graduate No
## 259 LP001859 Male Yes 0 Graduate No
## 261 LP001865 Male Yes 1 Graduate No
## 279 LP001907 Male Yes 0 Graduate No
## 309 LP001996 Male No 0 Graduate No
## 325 LP002065 Male Yes 3+ Graduate No
## 326 LP002067 Male Yes 1 Graduate Yes
## 334 LP002101 Male Yes 0 Graduate
## 352 LP002140 Male No 0 Graduate No
## 370 LP002191 Male Yes 0 Graduate No
## 373 LP002201 Male Yes 2 Graduate Yes
## 382 LP002229 Male No 0 Graduate No
## 392 LP002262 Male Yes 3+ Graduate No
## 410 LP002317 Male Yes 3+ Graduate No
## 433 LP002386 Male No 0 Graduate
## 488 LP002547 Male Yes 1 Graduate No
## 507 LP002624 Male Yes 0 Graduate No
## 515 LP002652 Male No 0 Graduate No
## 524 LP002693 Male Yes 2 Graduate Yes
## 526 LP002699 Male Yes 2 Graduate Yes
## 537 LP002734 Male Yes 0 Graduate No
## 562 LP002813 Female Yes 1 Graduate Yes
## 573 LP002855 Male Yes 2 Graduate No
## 593 LP002933 No 3+ Graduate Yes
## 601 LP002949 Female No 3+ Graduate
## 605 LP002959 Female Yes 1 Graduate No
## 103 LP001350 Male Yes Graduate No
## 107 LP001369 Male Yes 2 Graduate No
## 116 LP001401 Male Yes 1 Graduate No
## 120 LP001422 Female No 0 Graduate No
## 129 LP001451 Male Yes 1 Graduate Yes
## 139 LP001492 Male No 0 Graduate No
## 145 LP001508 Male Yes 2 Graduate No
## 147 LP001516 Female Yes 2 Graduate No
## 184 LP001637 Male Yes 1 Graduate No
## 186 LP001640 Male Yes 0 Graduate Yes
## 192 LP001656 Male No 0 Graduate No
## 200 LP001673 Male No 0 Graduate Yes
## 255 LP001844 Male No 0 Graduate Yes
## 272 LP001891 Male Yes 0 Graduate No
## 285 LP001922 Male Yes 0 Graduate No
## 371 LP002194 Female No 0 Graduate Yes
## 425 LP002364 Male Yes 0 Graduate No
## 439 LP002403 Male No 0 Graduate Yes
## 444 LP002422 Male No 1 Graduate No
## 468 LP002501 Yes 0 Graduate No
## 476 LP002527 Male Yes 2 Graduate Yes
## 479 LP002531 Male Yes 1 Graduate Yes
## 484 LP002541 Male Yes 0 Graduate No
## 494 LP002582 Female No 0 Not Graduate Yes
## 510 LP002634 Female No 1 Graduate No
## 534 LP002729 Male No 1 Graduate No
## 535 LP002731 Female No 0 Not Graduate Yes
## 595 LP002938 Male Yes 0 Graduate Yes
## 13 LP001028 Male Yes 2 Graduate No
## 39 LP001114 Male No 0 Graduate No
## 123 LP001431 Female No 0 Graduate No
## 181 LP001633 Male Yes 1 Graduate No
## 350 LP002138 Male Yes 0 Graduate No
## 403 LP002297 Male No 0 Graduate No
## 418 LP002342 Male Yes 2 Graduate Yes
## 445 LP002424 Male Yes 0 Graduate No
## 514 LP002648 Male Yes 0 Graduate No
## 582 LP002893 Male No 0 Graduate No
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 6 5417 4196 267 360
## 10 12841 10968 349 360
## 22 5955 5625 315 360
## 35 12500 3000 320 360
## 55 11500 0 286 360
## 68 10750 0 312 360
## 84 6000 2250 265 360
## 127 23803 0 370 360
## 131 20166 0 650 480
## 136 4000 7750 290 360
## 156 39999 0 600 180
## 162 7933 0 275 360
## 172 51763 0 700 300
## 178 5516 11300 495 360
## 234 8333 0 280 360
## 254 2661 7101 279 180
## 259 14683 2100 304 360
## 261 6083 4250 330 360
## 279 14583 0 436 360
## 309 20233 0 480 360
## 325 15000 0 300 360
## 326 8666 4983 376 360
## 334 63337 0 490 180
## 352 8750 4167 308 360
## 370 19730 5266 570 360
## 373 9323 7873 380 300
## 382 5941 4232 296 360
## 392 9504 0 275 360
## 410 81000 0 360 360
## 433 12876 0 405 360
## 488 18333 0 500 360
## 507 20833 6667 480 360
## 515 5815 3666 311 360
## 524 7948 7166 480 360
## 526 17500 0 400 360
## 537 6133 3906 324 360
## 562 19484 0 600 360
## 573 16666 0 275 360
## 593 9357 0 292 360
## 601 416 41667 350 180
## 605 12000 0 496 360
## 103 13650 0 0 360
## 107 11417 1126 225 360
## 116 14583 0 185 180
## 120 10408 0 259 360
## 129 10513 3850 160 180
## 139 14999 0 242 360
## 145 11757 0 187 180
## 147 14866 0 70 360
## 184 33846 0 260 360
## 186 39147 4750 120 360
## 192 12000 0 164 360
## 200 11000 0 83 360
## 255 16250 0 192 360
## 272 11146 0 136 360
## 285 20667 0 0 360
## 371 15759 0 55 360
## 425 14880 0 96 360
## 439 10416 0 187 360
## 444 37719 0 152 360
## 468 16692 0 110 360
## 476 16525 1014 150 360
## 479 16667 2250 86 360
## 484 10833 0 234 360
## 494 17263 0 225 360
## 510 13262 0 40 360
## 534 11250 0 196 360
## 535 18165 0 125 360
## 595 16120 0 260 360
## 13 3073 8106 200 360
## 39 4166 7210 184 360
## 123 2137 8980 137 360
## 181 6400 7250 180 360
## 350 2625 6250 187 360
## 403 2500 20000 103 360
## 418 1600 20000 239 360
## 445 7333 8333 175 300
## 514 2130 6666 70 180
## 582 1836 33837 90 360
## Credit_History Property_Area Loan_Status
## 6 1 Urban Y
## 10 1 Semiurban N
## 22 1 Urban Y
## 35 1 Rural N
## 55 0 Urban N
## 68 1 Urban Y
## 84 0 Semiurban N
## 127 1 Rural Y
## 131 0 Urban Y
## 136 1 Semiurban N
## 156 0 Semiurban Y
## 162 1 Urban N
## 172 1 Urban Y
## 178 0 Semiurban N
## 234 1 Semiurban Y
## 254 1 Semiurban Y
## 259 1 Rural N
## 261 0 Urban Y
## 279 1 Semiurban Y
## 309 1 Rural N
## 325 1 Rural Y
## 326 0 Rural N
## 334 1 Urban Y
## 352 1 Rural N
## 370 1 Rural N
## 373 1 Rural Y
## 382 1 Semiurban Y
## 392 1 Rural Y
## 410 0 Rural N
## 433 1 Semiurban Y
## 488 1 Urban N
## 507 0 Urban Y
## 515 1 Rural N
## 524 1 Rural Y
## 526 1 Rural Y
## 537 1 Urban Y
## 562 1 Semiurban Y
## 573 1 Urban Y
## 593 1 Semiurban Y
## 601 0 Urban N
## 605 1 Semiurban Y
## 103 1 Urban Y
## 107 1 Urban Y
## 116 1 Rural Y
## 120 1 Urban Y
## 129 0 Urban N
## 139 0 Semiurban N
## 145 1 Urban Y
## 147 1 Urban Y
## 184 1 Semiurban N
## 186 1 Semiurban Y
## 192 1 Semiurban N
## 200 1 Urban N
## 255 0 Urban N
## 272 1 Urban Y
## 285 1 Rural N
## 371 1 Semiurban Y
## 425 1 Semiurban Y
## 439 0 Urban N
## 444 1 Semiurban Y
## 468 1 Semiurban Y
## 476 1 Rural Y
## 479 1 Semiurban Y
## 484 1 Semiurban Y
## 494 1 Semiurban Y
## 510 1 Urban Y
## 534 0 Semiurban N
## 535 1 Urban Y
## 595 1 Urban Y
## 13 1 Urban Y
## 39 1 Urban Y
## 123 0 Semiurban Y
## 181 0 Urban N
## 350 1 Rural Y
## 403 1 Semiurban Y
## 418 1 Urban N
## 445 0 Rural Y
## 514 1 Semiurban N
## 582 1 Urban Ndtakhir<-dt%>%anti_join(dtlier)dtakhir## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP001002 Male No 0 Graduate No
## 2 LP001003 Male Yes 1 Graduate No
## 3 LP001005 Male Yes 0 Graduate Yes
## 4 LP001006 Male Yes 0 Not Graduate No
## 5 LP001008 Male No 0 Graduate No
## 6 LP001013 Male Yes 0 Not Graduate No
## 7 LP001014 Male Yes 3+ Graduate No
## 8 LP001018 Male Yes 2 Graduate No
## 9 LP001024 Male Yes 2 Graduate No
## 10 LP001027 Male Yes 2 Graduate
## 11 LP001029 Male No 0 Graduate No
## 12 LP001030 Male Yes 2 Graduate No
## 13 LP001032 Male No 0 Graduate No
## 14 LP001034 Male No 1 Not Graduate No
## 15 LP001036 Female No 0 Graduate No
## 16 LP001038 Male Yes 0 Not Graduate No
## 17 LP001041 Male Yes 0 Graduate
## 18 LP001043 Male Yes 0 Not Graduate No
## 19 LP001047 Male Yes 0 Not Graduate No
## 20 LP001050 Yes 2 Not Graduate No
## 21 LP001052 Male Yes 1 Graduate
## 22 LP001066 Male Yes 0 Graduate Yes
## 23 LP001068 Male Yes 0 Graduate No
## 24 LP001073 Male Yes 2 Not Graduate No
## 25 LP001086 Male No 0 Not Graduate No
## 26 LP001087 Female No 2 Graduate
## 27 LP001091 Male Yes 1 Graduate
## 28 LP001095 Male No 0 Graduate No
## 29 LP001097 Male No 1 Graduate Yes
## 30 LP001098 Male Yes 0 Graduate No
## 31 LP001106 Male Yes 0 Graduate No
## 32 LP001109 Male Yes 0 Graduate No
## 33 LP001112 Female Yes 0 Graduate No
## 34 LP001116 Male No 0 Not Graduate No
## 35 LP001119 Male No 0 Graduate No
## 36 LP001120 Male No 0 Graduate No
## 37 LP001123 Male Yes 0 Graduate No
## 38 LP001131 Male Yes 0 Graduate No
## 39 LP001136 Male Yes 0 Not Graduate Yes
## 40 LP001137 Female No 0 Graduate No
## 41 LP001138 Male Yes 1 Graduate No
## 42 LP001144 Male Yes 0 Graduate No
## 43 LP001146 Female Yes 0 Graduate No
## 44 LP001151 Female No 0 Graduate No
## 45 LP001155 Female Yes 0 Not Graduate No
## 46 LP001157 Female No 0 Graduate No
## 47 LP001164 Female No 0 Graduate No
## 48 LP001179 Male Yes 2 Graduate No
## 49 LP001194 Male Yes 2 Graduate No
## 50 LP001195 Male Yes 0 Graduate No
## 51 LP001197 Male Yes 0 Graduate No
## 52 LP001198 Male Yes 1 Graduate No
## 53 LP001199 Male Yes 2 Not Graduate No
## 54 LP001205 Male Yes 0 Graduate No
## 55 LP001206 Male Yes 3+ Graduate No
## 56 LP001207 Male Yes 0 Not Graduate Yes
## 57 LP001213 Male Yes 1 Graduate No
## 58 LP001222 Female No 0 Graduate No
## 59 LP001225 Male Yes 0 Graduate No
## 60 LP001228 Male No 0 Not Graduate No
## 61 LP001238 Male Yes 3+ Not Graduate Yes
## 62 LP001241 Female No 0 Graduate No
## 63 LP001243 Male Yes 0 Graduate No
## 64 LP001245 Male Yes 2 Not Graduate Yes
## 65 LP001248 Male No 0 Graduate No
## 66 LP001250 Male Yes 3+ Not Graduate No
## 67 LP001253 Male Yes 3+ Graduate Yes
## 68 LP001255 Male No 0 Graduate No
## 69 LP001256 Male No 0 Graduate No
## 70 LP001259 Male Yes 1 Graduate Yes
## 71 LP001263 Male Yes 3+ Graduate No
## 72 LP001264 Male Yes 3+ Not Graduate Yes
## 73 LP001265 Female No 0 Graduate No
## 74 LP001266 Male Yes 1 Graduate Yes
## 75 LP001267 Female Yes 2 Graduate No
## 76 LP001275 Male Yes 1 Graduate No
## 77 LP001279 Male No 0 Graduate No
## 78 LP001280 Male Yes 2 Not Graduate No
## 79 LP001282 Male Yes 0 Graduate No
## 80 LP001289 Male No 0 Graduate No
## 81 LP001310 Male Yes 0 Graduate No
## 82 LP001316 Male Yes 0 Graduate No
## 83 LP001318 Male Yes 2 Graduate No
## 84 LP001319 Male Yes 2 Not Graduate No
## 85 LP001322 Male No 0 Graduate No
## 86 LP001325 Male No 0 Not Graduate No
## 87 LP001326 Male No 0 Graduate
## 88 LP001327 Female Yes 0 Graduate No
## 89 LP001333 Male Yes 0 Graduate No
## 90 LP001334 Male Yes 0 Not Graduate No
## 91 LP001343 Male Yes 0 Graduate No
## 92 LP001345 Male Yes 2 Not Graduate No
## 93 LP001349 Male No 0 Graduate No
## 94 LP001356 Male Yes 0 Graduate No
## 95 LP001357 Male Graduate No
## 96 LP001367 Male Yes 1 Graduate No
## 97 LP001370 Male No 0 Not Graduate
## 98 LP001379 Male Yes 2 Graduate No
## 99 LP001384 Male Yes 3+ Not Graduate No
## 100 LP001385 Male No 0 Graduate No
## 101 LP001387 Female Yes 0 Graduate
## 102 LP001391 Male Yes 0 Not Graduate No
## 103 LP001392 Female No 1 Graduate Yes
## 104 LP001398 Male No 0 Graduate
## 105 LP001404 Female Yes 0 Graduate No
## 106 LP001405 Male Yes 1 Graduate No
## 107 LP001421 Male Yes 0 Graduate No
## 108 LP001426 Male Yes Graduate No
## 109 LP001430 Female No 0 Graduate No
## 110 LP001432 Male Yes 2 Graduate No
## 111 LP001439 Male Yes 0 Not Graduate No
## 112 LP001443 Female No 0 Graduate No
## 113 LP001449 Male No 0 Graduate No
## 114 LP001465 Male Yes 0 Graduate No
## 115 LP001473 Male No 0 Graduate No
## 116 LP001478 Male No 0 Graduate No
## 117 LP001482 Male Yes 0 Graduate Yes
## 118 LP001487 Male No 0 Graduate No
## 119 LP001489 Female Yes 0 Graduate No
## 120 LP001491 Male Yes 2 Graduate Yes
## 121 LP001493 Male Yes 2 Not Graduate No
## 122 LP001497 Male Yes 2 Graduate No
## 123 LP001498 Male No 0 Graduate No
## 124 LP001504 Male No 0 Graduate Yes
## 125 LP001507 Male Yes 0 Graduate No
## 126 LP001514 Female Yes 0 Graduate No
## 127 LP001518 Male Yes 1 Graduate No
## 128 LP001519 Female No 0 Graduate No
## 129 LP001520 Male Yes 0 Graduate No
## 130 LP001528 Male No 0 Graduate No
## 131 LP001529 Male Yes 0 Graduate Yes
## 132 LP001531 Male No 0 Graduate No
## 133 LP001532 Male Yes 2 Not Graduate No
## 134 LP001535 Male No 0 Graduate No
## 135 LP001541 Male Yes 1 Graduate No
## 136 LP001543 Male Yes 1 Graduate No
## 137 LP001546 Male No 0 Graduate
## 138 LP001552 Male Yes 0 Graduate No
## 139 LP001560 Male Yes 0 Not Graduate No
## 140 LP001565 Male Yes 1 Graduate No
## 141 LP001570 Male Yes 2 Graduate No
## 142 LP001572 Male Yes 0 Graduate No
## 143 LP001574 Male Yes 0 Graduate No
## 144 LP001577 Female Yes 0 Graduate No
## 145 LP001578 Male Yes 0 Graduate No
## 146 LP001579 Male No 0 Graduate No
## 147 LP001580 Male Yes 2 Graduate No
## 148 LP001581 Male Yes 0 Not Graduate
## 149 LP001586 Male Yes 3+ Not Graduate No
## 150 LP001594 Male Yes 0 Graduate No
## 151 LP001603 Male Yes 0 Not Graduate Yes
## 152 LP001606 Male Yes 0 Graduate No
## 153 LP001608 Male Yes 2 Graduate No
## 154 LP001616 Male Yes 1 Graduate No
## 155 LP001630 Male No 0 Not Graduate No
## 156 LP001634 Male No 0 Graduate No
## 157 LP001636 Male Yes 0 Graduate No
## 158 LP001639 Female Yes 0 Graduate No
## 159 LP001641 Male Yes 1 Graduate Yes
## 160 LP001643 Male Yes 0 Graduate No
## 161 LP001644 Yes 0 Graduate Yes
## 162 LP001647 Male Yes 0 Graduate No
## 163 LP001653 Male No 0 Not Graduate No
## 164 LP001657 Male Yes 0 Not Graduate No
## 165 LP001658 Male No 0 Graduate No
## 166 LP001664 Male No 0 Graduate No
## 167 LP001665 Male Yes 1 Graduate No
## 168 LP001666 Male No 0 Graduate No
## 169 LP001669 Female No 0 Not Graduate No
## 170 LP001671 Female Yes 0 Graduate No
## 171 LP001674 Male Yes 1 Not Graduate No
## 172 LP001677 Male No 2 Graduate No
## 173 LP001682 Male Yes 3+ Not Graduate No
## 174 LP001688 Male Yes 1 Not Graduate No
## 175 LP001691 Male Yes 2 Not Graduate No
## 176 LP001692 Female No 0 Not Graduate No
## 177 LP001693 Female No 0 Graduate No
## 178 LP001698 Male No 0 Not Graduate No
## 179 LP001699 Male No 0 Graduate No
## 180 LP001702 Male No 0 Graduate No
## 181 LP001708 Female No 0 Graduate No
## 182 LP001711 Male Yes 3+ Graduate No
## 183 LP001713 Male Yes 1 Graduate Yes
## 184 LP001715 Male Yes 3+ Not Graduate Yes
## 185 LP001716 Male Yes 0 Graduate No
## 186 LP001720 Male Yes 3+ Not Graduate No
## 187 LP001722 Male Yes 0 Graduate No
## 188 LP001726 Male Yes 0 Graduate No
## 189 LP001732 Male Yes 2 Graduate
## 190 LP001734 Female Yes 2 Graduate No
## 191 LP001736 Male Yes 0 Graduate No
## 192 LP001743 Male Yes 2 Graduate No
## 193 LP001744 Male No 0 Graduate No
## 194 LP001749 Male Yes 0 Graduate No
## 195 LP001750 Male Yes 0 Graduate No
## 196 LP001751 Male Yes 0 Graduate No
## 197 LP001754 Male Yes Not Graduate Yes
## 198 LP001758 Male Yes 2 Graduate No
## 199 LP001760 Male Graduate No
## 200 LP001761 Male No 0 Graduate Yes
## 201 LP001765 Male Yes 1 Graduate No
## 202 LP001768 Male Yes 0 Graduate
## 203 LP001770 Male No 0 Not Graduate No
## 204 LP001778 Male Yes 1 Graduate No
## 205 LP001784 Male Yes 1 Graduate No
## 206 LP001786 Male Yes 0 Graduate
## 207 LP001788 Female No 0 Graduate Yes
## 208 LP001790 Female No 1 Graduate No
## 209 LP001792 Male Yes 1 Graduate No
## 210 LP001798 Male Yes 2 Graduate No
## 211 LP001800 Male Yes 1 Not Graduate No
## 212 LP001806 Male No 0 Graduate No
## 213 LP001807 Male Yes 2 Graduate Yes
## 214 LP001811 Male Yes 0 Not Graduate No
## 215 LP001813 Male No 0 Graduate Yes
## 216 LP001814 Male Yes 2 Graduate No
## 217 LP001819 Male Yes 1 Not Graduate No
## 218 LP001824 Male Yes 1 Graduate No
## 219 LP001825 Male Yes 0 Graduate No
## 220 LP001835 Male Yes 0 Not Graduate No
## 221 LP001836 Female No 2 Graduate No
## 222 LP001841 Male No 0 Not Graduate Yes
## 223 LP001846 Female No 3+ Graduate No
## 224 LP001849 Male No 0 Not Graduate No
## 225 LP001854 Male Yes 3+ Graduate No
## 226 LP001864 Male Yes 3+ Not Graduate No
## 227 LP001868 Male No 0 Graduate No
## 228 LP001870 Female No 1 Graduate No
## 229 LP001871 Female No 0 Graduate No
## 230 LP001872 Male No 0 Graduate Yes
## 231 LP001875 Male No 0 Graduate No
## 232 LP001877 Male Yes 2 Graduate No
## 233 LP001882 Male Yes 3+ Graduate No
## 234 LP001883 Female No 0 Graduate
## 235 LP001884 Female No 1 Graduate No
## 236 LP001888 Female No 0 Graduate No
## 237 LP001892 Male No 0 Graduate No
## 238 LP001894 Male Yes 0 Graduate No
## 239 LP001896 Male Yes 2 Graduate No
## 240 LP001900 Male Yes 1 Graduate No
## 241 LP001903 Male Yes 0 Graduate No
## 242 LP001904 Male Yes 0 Graduate No
## 243 LP001908 Female Yes 0 Not Graduate No
## 244 LP001910 Male No 1 Not Graduate Yes
## 245 LP001914 Male Yes 0 Graduate No
## 246 LP001915 Male Yes 2 Graduate No
## 247 LP001917 Female No 0 Graduate No
## 248 LP001924 Male No 0 Graduate No
## 249 LP001925 Female No 0 Graduate Yes
## 250 LP001926 Male Yes 0 Graduate No
## 251 LP001931 Female No 0 Graduate No
## 252 LP001935 Male No 0 Graduate No
## 253 LP001936 Male Yes 0 Graduate No
## 254 LP001938 Male Yes 2 Graduate No
## 255 LP001940 Male Yes 2 Graduate No
## 256 LP001945 Female No Graduate No
## 257 LP001947 Male Yes 0 Graduate No
## 258 LP001949 Male Yes 3+ Graduate
## 259 LP001953 Male Yes 1 Graduate No
## 260 LP001954 Female Yes 1 Graduate No
## 261 LP001955 Female No 0 Graduate No
## 262 LP001963 Male Yes 1 Graduate No
## 263 LP001964 Male Yes 0 Not Graduate No
## 264 LP001972 Male Yes Not Graduate No
## 265 LP001974 Female No 0 Graduate No
## 266 LP001977 Male Yes 1 Graduate No
## 267 LP001978 Male No 0 Graduate No
## 268 LP001990 Male No 0 Not Graduate No
## 269 LP001993 Female No 0 Graduate No
## 270 LP001994 Female No 0 Graduate No
## 271 LP001998 Male Yes 2 Not Graduate No
## 272 LP002002 Female No 0 Graduate No
## 273 LP002004 Male No 0 Not Graduate No
## 274 LP002006 Female No 0 Graduate No
## 275 LP002008 Male Yes 2 Graduate Yes
## 276 LP002024 Yes 0 Graduate No
## 277 LP002031 Male Yes 1 Not Graduate No
## 278 LP002035 Male Yes 2 Graduate No
## 279 LP002036 Male Yes 0 Graduate No
## 280 LP002043 Female No 1 Graduate No
## 281 LP002050 Male Yes 1 Graduate Yes
## 282 LP002051 Male Yes 0 Graduate No
## 283 LP002053 Male Yes 3+ Graduate No
## 284 LP002054 Male Yes 2 Not Graduate No
## 285 LP002055 Female No 0 Graduate No
## 286 LP002068 Male No 0 Graduate No
## 287 LP002082 Male Yes 0 Graduate Yes
## 288 LP002086 Female Yes 0 Graduate No
## 289 LP002087 Female No 0 Graduate No
## 290 LP002097 Male No 1 Graduate No
## 291 LP002098 Male No 0 Graduate No
## 292 LP002100 Male No Graduate No
## 293 LP002103 Yes 1 Graduate Yes
## 294 LP002106 Male Yes Graduate Yes
## 295 LP002110 Male Yes 1 Graduate
## 296 LP002112 Male Yes 2 Graduate Yes
## 297 LP002113 Female No 3+ Not Graduate No
## 298 LP002114 Female No 0 Graduate No
## 299 LP002115 Male Yes 3+ Not Graduate No
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## 459 5285 1430.00 161 360
## 460 2679 1302.00 94 360
## 461 6783 0.00 130 360
## 462 1025 5500.00 216 360
## 463 4281 0.00 100 360
## 464 3588 0.00 110 360
## 465 2550 2042.00 126 360
## 466 3617 0.00 107 360
## 467 2917 536.00 66 360
## 468 6417 0.00 157 180
## 469 4608 2845.00 140 180
## 470 2138 0.00 99 360
## 471 3652 0.00 95 360
## 472 2239 2524.00 128 360
## 473 3017 663.00 102 360
## 474 2768 1950.00 155 360
## 475 3358 0.00 80 36
## 476 2526 1783.00 145 360
## 477 5000 0.00 103 360
## 478 2785 2016.00 110 360
## 479 6633 0.00 0 360
## 480 2492 2375.00 0 360
## 481 3333 3250.00 158 360
## 482 2454 2333.00 181 360
## 483 3593 4266.00 132 180
## 484 5468 1032.00 26 360
## 485 2667 1625.00 84 360
## 486 10139 0.00 260 360
## 487 3887 2669.00 162 360
## 488 4180 2306.00 182 360
## 489 3675 242.00 108 360
## 490 5923 2054.00 211 360
## 491 5800 0.00 132 360
## 492 8799 0.00 258 360
## 493 4467 0.00 120 360
## 494 3333 0.00 70 360
## 495 3400 2500.00 123 360
## 496 2378 0.00 9 360
## 497 3166 2064.00 104 360
## 498 3417 1750.00 186 360
## 499 5116 1451.00 165 360
## 500 6125 1625.00 187 480
## 501 6406 0.00 150 360
## 502 3159 461.00 108 84
## 503 3087 2210.00 136 360
## 504 3229 2739.00 110 360
## 505 1782 2232.00 107 360
## 506 3182 2917.00 161 360
## 507 6540 0.00 205 360
## 508 3166 0.00 36 360
## 509 1880 0.00 61 360
## 510 2787 1917.00 146 360
## 511 4283 3000.00 172 84
## 512 2297 1522.00 104 360
## 513 2165 0.00 70 360
## 514 4750 0.00 94 360
## 515 2726 0.00 106 360
## 516 3000 3416.00 56 180
## 517 6000 0.00 205 240
## 518 3859 3300.00 142 180
## 519 3833 0.00 110 360
## 520 6383 1000.00 187 360
## 521 2987 0.00 88 360
## 522 9963 0.00 180 360
## 523 5780 0.00 192 360
## 524 2894 2792.00 155 360
## 525 5703 0.00 128 360
## 526 3676 4301.00 172 360
## 527 2400 3800.00 0 180
## 528 3400 2500.00 173 360
## 529 3987 1411.00 157 360
## 530 3232 1950.00 108 360
## 531 2900 0.00 71 360
## 532 4106 0.00 40 180
## 533 8072 240.00 253 360
## 534 7583 0.00 187 360
## 535 4583 0.00 133 360
## Credit_History Property_Area Loan_Status
## 1 1 Urban Y
## 2 1 Rural N
## 3 1 Urban Y
## 4 1 Urban Y
## 5 1 Urban Y
## 6 1 Urban Y
## 7 0 Semiurban N
## 8 1 Urban Y
## 9 1 Urban Y
## 10 1 Urban Y
## 11 1 Rural N
## 12 1 Urban Y
## 13 1 Urban Y
## 14 0 Urban Y
## 15 0 Urban N
## 16 1 Rural N
## 17 1 Urban Y
## 18 0 Urban N
## 19 0 Semiurban N
## 20 0 Rural N
## 21 0 Semiurban N
## 22 1 Semiurban Y
## 23 1 Semiurban Y
## 24 1 Urban Y
## 25 1 Urban N
## 26 1 Semiurban Y
## 27 0 Urban N
## 28 1 Urban N
## 29 1 Rural N
## 30 1 Semiurban Y
## 31 1 Urban Y
## 32 0 Urban N
## 33 1 Semiurban Y
## 34 1 Semiurban Y
## 35 1 Urban N
## 36 1 Urban Y
## 37 0 Urban Y
## 38 1 Semiurban Y
## 39 1 Urban Y
## 40 1 Urban Y
## 41 1 Urban Y
## 42 1 Urban Y
## 43 0 Urban N
## 44 1 Semiurban Y
## 45 1 Semiurban Y
## 46 1 Semiurban Y
## 47 1 Semiurban N
## 48 1 Urban N
## 49 1 Semiurban Y
## 50 1 Semiurban Y
## 51 1 Rural N
## 52 1 Urban Y
## 53 1 Urban Y
## 54 1 Urban Y
## 55 1 Urban Y
## 56 0 Rural N
## 57 0 Rural N
## 58 0 Semiurban N
## 59 1 Semiurban N
## 60 0 Urban N
## 61 1 Urban Y
## 62 0 Semiurban N
## 63 1 Urban Y
## 64 1 Semiurban Y
## 65 1 Semiurban Y
## 66 0 Semiurban N
## 67 1 Semiurban Y
## 68 1 Urban N
## 69 1 Urban N
## 70 1 Urban N
## 71 0 Semiurban N
## 72 0 Semiurban Y
## 73 1 Semiurban Y
## 74 1 Semiurban Y
## 75 1 Urban N
## 76 1 Urban Y
## 77 1 Semiurban Y
## 78 0 Semiurban Y
## 79 1 Semiurban Y
## 80 1 Urban Y
## 81 1 Semiurban Y
## 82 1 Semiurban Y
## 83 1 Semiurban Y
## 84 1 Urban Y
## 85 1 Semiurban Y
## 86 1 Semiurban Y
## 87 0 Urban N
## 88 1 Semiurban Y
## 89 1 Semiurban Y
## 90 1 Semiurban Y
## 91 1 Semiurban Y
## 92 1 Urban Y
## 93 1 Semiurban Y
## 94 1 Semiurban Y
## 95 1 Urban Y
## 96 1 Urban Y
## 97 1 Rural N
## 98 0 Urban N
## 99 1 Semiurban Y
## 100 1 Urban Y
## 101 1 Semiurban Y
## 102 0 Rural N
## 103 1 Semiurban Y
## 104 1 Semiurban Y
## 105 1 Semiurban Y
## 106 0 Urban Y
## 107 1 Rural N
## 108 1 Rural Y
## 109 1 Semiurban Y
## 110 1 Semiurban Y
## 111 1 Rural Y
## 112 0 Rural Y
## 113 1 Rural Y
## 114 0 Rural N
## 115 1 Urban Y
## 116 1 Semiurban Y
## 117 1 Semiurban Y
## 118 1 Semiurban Y
## 119 1 Rural N
## 120 1 Urban Y
## 121 1 Rural N
## 122 1 Rural N
## 123 1 Urban Y
## 124 1 Semiurban Y
## 125 1 Semiurban Y
## 126 1 Semiurban Y
## 127 1 Urban Y
## 128 1 Rural N
## 129 1 Semiurban Y
## 130 0 Rural N
## 131 1 Rural Y
## 132 1 Urban N
## 133 1 Rural N
## 134 1 Urban Y
## 135 0 Rural Y
## 136 1 Urban Y
## 137 1 Rural Y
## 138 1 Semiurban Y
## 139 1 Semiurban Y
## 140 0 Semiurban N
## 141 1 Rural Y
## 142 1 Urban Y
## 143 1 Rural Y
## 144 1 Rural N
## 145 1 Rural Y
## 146 0 Semiurban N
## 147 1 Semiurban Y
## 148 1 Rural Y
## 149 1 Rural N
## 150 1 Semiurban Y
## 151 1 Semiurban N
## 152 1 Rural Y
## 153 1 Rural Y
## 154 1 Semiurban Y
## 155 0 Urban N
## 156 0 Rural N
## 157 1 Semiurban Y
## 158 1 Semiurban Y
## 159 0 Rural N
## 160 0 Rural Y
## 161 1 Rural Y
## 162 1 Rural Y
## 163 1 Rural Y
## 164 1 Urban N
## 165 1 Semiurban Y
## 166 1 Rural Y
## 167 1 Semiurban N
## 168 1 Rural Y
## 169 1 Urban Y
## 170 0 Semiurban Y
## 171 1 Semiurban Y
## 172 0 Semiurban Y
## 173 1 Urban N
## 174 1 Urban Y
## 175 1 Semiurban Y
## 176 1 Semiurban Y
## 177 1 Urban Y
## 178 1 Rural Y
## 179 1 Urban Y
## 180 1 Semiurban N
## 181 1 Semiurban N
## 182 0 Semiurban N
## 183 1 Urban Y
## 184 1 Rural Y
## 185 1 Urban Y
## 186 1 Semiurban Y
## 187 1 Rural N
## 188 1 Semiurban Y
## 189 0 Semiurban N
## 190 0 Semiurban Y
## 191 0 Urban N
## 192 1 Semiurban Y
## 193 1 Semiurban Y
## 194 1 Semiurban Y
## 195 1 Semiurban Y
## 196 1 Rural N
## 197 1 Urban N
## 198 1 Semiurban Y
## 199 1 Semiurban Y
## 200 1 Rural Y
## 201 1 Semiurban Y
## 202 1 Rural Y
## 203 1 Rural Y
## 204 1 Semiurban Y
## 205 1 Rural Y
## 206 0 Urban N
## 207 0 Urban Y
## 208 1 Rural Y
## 209 1 Semiurban Y
## 210 1 Rural Y
## 211 1 Urban N
## 212 1 Urban Y
## 213 1 Rural Y
## 214 1 Semiurban Y
## 215 1 Urban N
## 216 1 Urban Y
## 217 1 Urban Y
## 218 1 Semiurban Y
## 219 1 Urban Y
## 220 0 Semiurban N
## 221 1 Urban N
## 222 1 Rural Y
## 223 1 Rural Y
## 224 0 Rural N
## 225 1 Urban N
## 226 0 Semiurban N
## 227 1 Semiurban Y
## 228 1 Semiurban N
## 229 1 Rural Y
## 230 1 Semiurban Y
## 231 1 Rural Y
## 232 1 Semiurban Y
## 233 0 Urban Y
## 234 1 Rural N
## 235 1 Urban Y
## 236 1 Urban Y
## 237 1 Rural Y
## 238 1 Semiurban Y
## 239 1 Semiurban Y
## 240 1 Semiurban Y
## 241 1 Semiurban Y
## 242 1 Urban Y
## 243 0 Rural Y
## 244 0 Urban N
## 245 1 Semiurban Y
## 246 1 Urban Y
## 247 1 Urban Y
## 248 1 Rural Y
## 249 1 Semiurban N
## 250 1 Rural Y
## 251 1 Semiurban Y
## 252 1 Rural Y
## 253 1 Rural Y
## 254 0 Semiurban N
## 255 1 Urban Y
## 256 0 Urban N
## 257 1 Semiurban Y
## 258 1 Urban Y
## 259 1 Semiurban Y
## 260 1 Urban Y
## 261 1 Rural N
## 262 1 Urban N
## 263 0 Urban N
## 264 1 Semiurban Y
## 265 1 Rural Y
## 266 1 Urban Y
## 267 1 Rural Y
## 268 1 Urban N
## 269 1 Rural Y
## 270 0 Urban N
## 271 0 Rural Y
## 272 1 Semiurban Y
## 273 1 Semiurban Y
## 274 1 Rural Y
## 275 0 Rural Y
## 276 1 Rural N
## 277 1 Urban Y
## 278 1 Semiurban Y
## 279 0 Urban Y
## 280 0 Semiurban Y
## 281 1 Rural N
## 282 1 Semiurban Y
## 283 1 Semiurban Y
## 284 1 Rural Y
## 285 0 Rural Y
## 286 0 Rural Y
## 287 1 Semiurban Y
## 288 1 Urban N
## 289 1 Urban Y
## 290 1 Urban Y
## 291 1 Semiurban Y
## 292 1 Urban Y
## 293 1 Urban Y
## 294 1 Semiurban Y
## 295 1 Rural Y
## 296 1 Rural Y
## 297 0 Urban N
## 298 1 Semiurban Y
## 299 1 Rural N
## 300 1 Rural N
## 301 1 Urban Y
## 302 1 Semiurban Y
## 303 1 Rural Y
## 304 1 Semiurban Y
## 305 0 Rural N
## 306 1 Urban Y
## 307 0 Semiurban Y
## 308 1 Semiurban Y
## 309 1 Rural Y
## 310 0 Rural N
## 311 1 Semiurban Y
## 312 1 Urban Y
## 313 1 Rural Y
## 314 1 Urban N
## 315 0 Urban N
## 316 1 Semiurban Y
## 317 1 Semiurban N
## 318 1 Semiurban Y
## 319 1 Urban Y
## 320 0 Urban Y
## 321 1 Rural Y
## 322 1 Rural N
## 323 1 Semiurban N
## 324 0 Rural N
## 325 1 Semiurban Y
## 326 1 Semiurban Y
## 327 0 Urban N
## 328 1 Urban Y
## 329 1 Urban Y
## 330 1 Rural Y
## 331 0 Semiurban Y
## 332 1 Urban N
## 333 1 Urban Y
## 334 1 Semiurban Y
## 335 1 Urban Y
## 336 1 Urban Y
## 337 1 Urban N
## 338 1 Urban Y
## 339 1 Semiurban Y
## 340 0 Urban N
## 341 1 Urban Y
## 342 1 Rural Y
## 343 1 Rural Y
## 344 0 Urban Y
## 345 1 Semiurban Y
## 346 1 Urban Y
## 347 0 Semiurban Y
## 348 0 Urban N
## 349 1 Urban Y
## 350 1 Rural Y
## 351 0 Semiurban N
## 352 0 Urban N
## 353 1 Rural N
## 354 1 Semiurban Y
## 355 1 Rural N
## 356 1 Semiurban Y
## 357 1 Urban Y
## 358 1 Rural Y
## 359 0 Semiurban N
## 360 1 Semiurban N
## 361 0 Urban Y
## 362 0 Rural N
## 363 1 Rural Y
## 364 0 Semiurban N
## 365 1 Urban Y
## 366 1 Urban N
## 367 1 Rural Y
## 368 1 Semiurban Y
## 369 1 Rural Y
## 370 0 Urban N
## 371 1 Urban Y
## 372 0 Urban N
## 373 1 Rural Y
## 374 1 Rural N
## 375 1 Semiurban Y
## 376 1 Rural Y
## 377 1 Urban Y
## 378 1 Semiurban Y
## 379 0 Rural N
## 380 1 Semiurban Y
## 381 1 Urban Y
## 382 1 Semiurban Y
## 383 1 Semiurban Y
## 384 1 Urban Y
## 385 1 Rural Y
## 386 1 Semiurban Y
## 387 1 Rural Y
## 388 1 Semiurban Y
## 389 1 Rural Y
## 390 1 Rural Y
## 391 1 Rural N
## 392 0 Rural N
## 393 0 Semiurban N
## 394 0 Rural N
## 395 0 Urban Y
## 396 0 Rural N
## 397 0 Rural Y
## 398 1 Semiurban Y
## 399 1 Semiurban Y
## 400 1 Urban Y
## 401 1 Urban N
## 402 1 Rural Y
## 403 1 Semiurban N
## 404 0 Semiurban Y
## 405 1 Urban Y
## 406 1 Rural Y
## 407 1 Semiurban Y
## 408 0 Semiurban N
## 409 1 Rural Y
## 410 0 Urban N
## 411 1 Semiurban Y
## 412 1 Urban N
## 413 1 Semiurban Y
## 414 0 Rural N
## 415 1 Semiurban Y
## 416 0 Urban Y
## 417 1 Rural Y
## 418 1 Semiurban Y
## 419 0 Semiurban N
## 420 1 Urban N
## 421 1 Rural Y
## 422 1 Rural Y
## 423 1 Semiurban Y
## 424 1 Semiurban Y
## 425 1 Rural Y
## 426 0 Rural N
## 427 1 Semiurban Y
## 428 1 Urban N
## 429 0 Semiurban Y
## 430 0 Urban Y
## 431 1 Rural Y
## 432 0 Rural N
## 433 1 Semiurban Y
## 434 1 Rural Y
## 435 0 Urban Y
## 436 1 Semiurban Y
## 437 0 Rural N
## 438 1 Rural Y
## 439 1 Semiurban Y
## 440 1 Semiurban Y
## 441 0 Rural N
## 442 1 Semiurban Y
## 443 1 Rural Y
## 444 1 Urban N
## 445 1 Urban Y
## 446 1 Rural N
## 447 1 Semiurban Y
## 448 1 Urban Y
## 449 1 Rural Y
## 450 1 Semiurban Y
## 451 0 Semiurban N
## 452 1 Semiurban N
## 453 1 Rural N
## 454 1 Semiurban Y
## 455 1 Semiurban Y
## 456 1 Rural Y
## 457 1 Semiurban N
## 458 1 Semiurban Y
## 459 0 Semiurban Y
## 460 1 Semiurban Y
## 461 1 Semiurban Y
## 462 0 Rural Y
## 463 1 Urban Y
## 464 0 Rural N
## 465 1 Rural Y
## 466 1 Semiurban Y
## 467 1 Rural N
## 468 1 Rural Y
## 469 1 Semiurban Y
## 470 0 Semiurban N
## 471 1 Semiurban Y
## 472 1 Urban Y
## 473 0 Semiurban Y
## 474 1 Rural Y
## 475 1 Semiurban N
## 476 1 Rural Y
## 477 0 Semiurban N
## 478 1 Rural Y
## 479 0 Rural N
## 480 1 Rural Y
## 481 1 Urban Y
## 482 0 Urban N
## 483 0 Rural N
## 484 1 Semiurban Y
## 485 0 Urban Y
## 486 1 Semiurban Y
## 487 1 Semiurban Y
## 488 1 Semiurban Y
## 489 1 Semiurban Y
## 490 1 Rural Y
## 491 1 Semiurban Y
## 492 0 Urban N
## 493 0 Rural Y
## 494 1 Urban Y
## 495 0 Rural N
## 496 1 Urban N
## 497 0 Urban N
## 498 1 Urban Y
## 499 0 Urban N
## 500 1 Semiurban N
## 501 1 Semiurban N
## 502 1 Urban Y
## 503 0 Semiurban N
## 504 1 Urban Y
## 505 1 Rural Y
## 506 1 Urban Y
## 507 1 Semiurban Y
## 508 1 Semiurban Y
## 509 0 Rural N
## 510 0 Rural N
## 511 1 Rural N
## 512 1 Urban Y
## 513 1 Semiurban Y
## 514 1 Semiurban Y
## 515 0 Semiurban N
## 516 1 Semiurban Y
## 517 1 Semiurban N
## 518 1 Rural Y
## 519 1 Rural Y
## 520 1 Rural N
## 521 0 Semiurban N
## 522 1 Rural Y
## 523 1 Urban Y
## 524 1 Rural Y
## 525 1 Urban Y
## 526 1 Rural Y
## 527 1 Urban N
## 528 1 Semiurban Y
## 529 1 Rural Y
## 530 1 Rural Y
## 531 1 Rural Y
## 532 1 Rural Y
## 533 1 Urban Y
## 534 1 Urban Y
## 535 0 Semiurban N2.7 Penanganan Data Kategorikal
2.7.1 Pelabelan
datc%>%summarise_all((n_distinct))## Loan_ID Gender Married Dependents Education Self_Employed Property_Area
## 1 614 3 3 5 2 3 3
## Loan_Status
## 1 2GenderLabel <-factor(datc$Gender, labels=c(0, 1, 2))
MarriedLabel <-factor(datc$Married, labels=c(0, 1,2))
DependentsLabel <-factor(datc$Dependents, labels=c(0, 1, 2, 3, 4))
EducationLabel <-factor(datc$Education, labels=c(0, 1))
Self_EmployedLabel<-factor(datc$Self_Employed, labels=c(0, 1, 2))
Property_AreaLabel<-factor(datc$Property_Area, labels=c(0,1,2))
Loan_StatusLabel<-factor(datc$Loan_Status, labels=c(0, 1))
datc_labeled <- data.frame("ID"=datc$Loan_ID, GenderLabel, MarriedLabel, DependentsLabel, EducationLabel, Self_EmployedLabel, Property_AreaLabel,Loan_StatusLabel)
datc_labeled## ID GenderLabel MarriedLabel DependentsLabel EducationLabel
## 1 LP001002 2 1 1 0
## 2 LP001003 2 2 2 0
## 3 LP001005 2 2 1 0
## 4 LP001006 2 2 1 1
## 5 LP001008 2 1 1 0
## 6 LP001011 2 2 3 0
## 7 LP001013 2 2 1 1
## 8 LP001014 2 2 4 0
## 9 LP001018 2 2 3 0
## 10 LP001020 2 2 2 0
## 11 LP001024 2 2 3 0
## 12 LP001027 2 2 3 0
## 13 LP001028 2 2 3 0
## 14 LP001029 2 1 1 0
## 15 LP001030 2 2 3 0
## 16 LP001032 2 1 1 0
## 17 LP001034 2 1 2 1
## 18 LP001036 1 1 1 0
## 19 LP001038 2 2 1 1
## 20 LP001041 2 2 1 0
## 21 LP001043 2 2 1 1
## 22 LP001046 2 2 2 0
## 23 LP001047 2 2 1 1
## 24 LP001050 0 2 3 1
## 25 LP001052 2 2 2 0
## 26 LP001066 2 2 1 0
## 27 LP001068 2 2 1 0
## 28 LP001073 2 2 3 1
## 29 LP001086 2 1 1 1
## 30 LP001087 1 1 3 0
## 31 LP001091 2 2 2 0
## 32 LP001095 2 1 1 0
## 33 LP001097 2 1 2 0
## 34 LP001098 2 2 1 0
## 35 LP001100 2 1 4 0
## 36 LP001106 2 2 1 0
## 37 LP001109 2 2 1 0
## 38 LP001112 1 2 1 0
## 39 LP001114 2 1 1 0
## 40 LP001116 2 1 1 1
## 41 LP001119 2 1 1 0
## 42 LP001120 2 1 1 0
## 43 LP001123 2 2 1 0
## 44 LP001131 2 2 1 0
## 45 LP001136 2 2 1 1
## 46 LP001137 1 1 1 0
## 47 LP001138 2 2 2 0
## 48 LP001144 2 2 1 0
## 49 LP001146 1 2 1 0
## 50 LP001151 1 1 1 0
## 51 LP001155 1 2 1 1
## 52 LP001157 1 1 1 0
## 53 LP001164 1 1 1 0
## 54 LP001179 2 2 3 0
## 55 LP001186 1 2 2 0
## 56 LP001194 2 2 3 0
## 57 LP001195 2 2 1 0
## 58 LP001197 2 2 1 0
## 59 LP001198 2 2 2 0
## 60 LP001199 2 2 3 1
## 61 LP001205 2 2 1 0
## 62 LP001206 2 2 4 0
## 63 LP001207 2 2 1 1
## 64 LP001213 2 2 2 0
## 65 LP001222 1 1 1 0
## 66 LP001225 2 2 1 0
## 67 LP001228 2 1 1 1
## 68 LP001233 2 2 2 0
## 69 LP001238 2 2 4 1
## 70 LP001241 1 1 1 0
## 71 LP001243 2 2 1 0
## 72 LP001245 2 2 3 1
## 73 LP001248 2 1 1 0
## 74 LP001250 2 2 4 1
## 75 LP001253 2 2 4 0
## 76 LP001255 2 1 1 0
## 77 LP001256 2 1 1 0
## 78 LP001259 2 2 2 0
## 79 LP001263 2 2 4 0
## 80 LP001264 2 2 4 1
## 81 LP001265 1 1 1 0
## 82 LP001266 2 2 2 0
## 83 LP001267 1 2 3 0
## 84 LP001273 2 2 1 0
## 85 LP001275 2 2 2 0
## 86 LP001279 2 1 1 0
## 87 LP001280 2 2 3 1
## 88 LP001282 2 2 1 0
## 89 LP001289 2 1 1 0
## 90 LP001310 2 2 1 0
## 91 LP001316 2 2 1 0
## 92 LP001318 2 2 3 0
## 93 LP001319 2 2 3 1
## 94 LP001322 2 1 1 0
## 95 LP001325 2 1 1 1
## 96 LP001326 2 1 1 0
## 97 LP001327 1 2 1 0
## 98 LP001333 2 2 1 0
## 99 LP001334 2 2 1 1
## 100 LP001343 2 2 1 0
## 101 LP001345 2 2 3 1
## 102 LP001349 2 1 1 0
## 103 LP001350 2 2 0 0
## 104 LP001356 2 2 1 0
## 105 LP001357 2 0 0 0
## 106 LP001367 2 2 2 0
## 107 LP001369 2 2 3 0
## 108 LP001370 2 1 1 1
## 109 LP001379 2 2 3 0
## 110 LP001384 2 2 4 1
## 111 LP001385 2 1 1 0
## 112 LP001387 1 2 1 0
## 113 LP001391 2 2 1 1
## 114 LP001392 1 1 2 0
## 115 LP001398 2 1 1 0
## 116 LP001401 2 2 2 0
## 117 LP001404 1 2 1 0
## 118 LP001405 2 2 2 0
## 119 LP001421 2 2 1 0
## 120 LP001422 1 1 1 0
## 121 LP001426 2 2 0 0
## 122 LP001430 1 1 1 0
## 123 LP001431 1 1 1 0
## 124 LP001432 2 2 3 0
## 125 LP001439 2 2 1 1
## 126 LP001443 1 1 1 0
## 127 LP001448 0 2 4 0
## 128 LP001449 2 1 1 0
## 129 LP001451 2 2 2 0
## 130 LP001465 2 2 1 0
## 131 LP001469 2 1 1 0
## 132 LP001473 2 1 1 0
## 133 LP001478 2 1 1 0
## 134 LP001482 2 2 1 0
## 135 LP001487 2 1 1 0
## 136 LP001488 2 2 4 0
## 137 LP001489 1 2 1 0
## 138 LP001491 2 2 3 0
## 139 LP001492 2 1 1 0
## 140 LP001493 2 2 3 1
## 141 LP001497 2 2 3 0
## 142 LP001498 2 1 1 0
## 143 LP001504 2 1 1 0
## 144 LP001507 2 2 1 0
## 145 LP001508 2 2 3 0
## 146 LP001514 1 2 1 0
## 147 LP001516 1 2 3 0
## 148 LP001518 2 2 2 0
## 149 LP001519 1 1 1 0
## 150 LP001520 2 2 1 0
## 151 LP001528 2 1 1 0
## 152 LP001529 2 2 1 0
## 153 LP001531 2 1 1 0
## 154 LP001532 2 2 3 1
## 155 LP001535 2 1 1 0
## 156 LP001536 2 2 4 0
## 157 LP001541 2 2 2 0
## 158 LP001543 2 2 2 0
## 159 LP001546 2 1 1 0
## 160 LP001552 2 2 1 0
## 161 LP001560 2 2 1 1
## 162 LP001562 2 2 1 0
## 163 LP001565 2 2 2 0
## 164 LP001570 2 2 3 0
## 165 LP001572 2 2 1 0
## 166 LP001574 2 2 1 0
## 167 LP001577 1 2 1 0
## 168 LP001578 2 2 1 0
## 169 LP001579 2 1 1 0
## 170 LP001580 2 2 3 0
## 171 LP001581 2 2 1 1
## 172 LP001585 0 2 4 0
## 173 LP001586 2 2 4 1
## 174 LP001594 2 2 1 0
## 175 LP001603 2 2 1 1
## 176 LP001606 2 2 1 0
## 177 LP001608 2 2 3 0
## 178 LP001610 2 2 4 0
## 179 LP001616 2 2 2 0
## 180 LP001630 2 1 1 1
## 181 LP001633 2 2 2 0
## 182 LP001634 2 1 1 0
## 183 LP001636 2 2 1 0
## 184 LP001637 2 2 2 0
## 185 LP001639 1 2 1 0
## 186 LP001640 2 2 1 0
## 187 LP001641 2 2 2 0
## 188 LP001643 2 2 1 0
## 189 LP001644 0 2 1 0
## 190 LP001647 2 2 1 0
## 191 LP001653 2 1 1 1
## 192 LP001656 2 1 1 0
## 193 LP001657 2 2 1 1
## 194 LP001658 2 1 1 0
## 195 LP001664 2 1 1 0
## 196 LP001665 2 2 2 0
## 197 LP001666 2 1 1 0
## 198 LP001669 1 1 1 1
## 199 LP001671 1 2 1 0
## 200 LP001673 2 1 1 0
## 201 LP001674 2 2 2 1
## 202 LP001677 2 1 3 0
## 203 LP001682 2 2 4 1
## 204 LP001688 2 2 2 1
## 205 LP001691 2 2 3 1
## 206 LP001692 1 1 1 1
## 207 LP001693 1 1 1 0
## 208 LP001698 2 1 1 1
## 209 LP001699 2 1 1 0
## 210 LP001702 2 1 1 0
## 211 LP001708 1 1 1 0
## 212 LP001711 2 2 4 0
## 213 LP001713 2 2 2 0
## 214 LP001715 2 2 4 1
## 215 LP001716 2 2 1 0
## 216 LP001720 2 2 4 1
## 217 LP001722 2 2 1 0
## 218 LP001726 2 2 1 0
## 219 LP001732 2 2 3 0
## 220 LP001734 1 2 3 0
## 221 LP001736 2 2 1 0
## 222 LP001743 2 2 3 0
## 223 LP001744 2 1 1 0
## 224 LP001749 2 2 1 0
## 225 LP001750 2 2 1 0
## 226 LP001751 2 2 1 0
## 227 LP001754 2 2 0 1
## 228 LP001758 2 2 3 0
## 229 LP001760 2 0 0 0
## 230 LP001761 2 1 1 0
## 231 LP001765 2 2 2 0
## 232 LP001768 2 2 1 0
## 233 LP001770 2 1 1 1
## 234 LP001776 1 1 1 0
## 235 LP001778 2 2 2 0
## 236 LP001784 2 2 2 0
## 237 LP001786 2 2 1 0
## 238 LP001788 1 1 1 0
## 239 LP001790 1 1 2 0
## 240 LP001792 2 2 2 0
## 241 LP001798 2 2 3 0
## 242 LP001800 2 2 2 1
## 243 LP001806 2 1 1 0
## 244 LP001807 2 2 3 0
## 245 LP001811 2 2 1 1
## 246 LP001813 2 1 1 0
## 247 LP001814 2 2 3 0
## 248 LP001819 2 2 2 1
## 249 LP001824 2 2 2 0
## 250 LP001825 2 2 1 0
## 251 LP001835 2 2 1 1
## 252 LP001836 1 1 3 0
## 253 LP001841 2 1 1 1
## 254 LP001843 2 2 2 1
## 255 LP001844 2 1 1 0
## 256 LP001846 1 1 4 0
## 257 LP001849 2 1 1 1
## 258 LP001854 2 2 4 0
## 259 LP001859 2 2 1 0
## 260 LP001864 2 2 4 1
## 261 LP001865 2 2 2 0
## 262 LP001868 2 1 1 0
## 263 LP001870 1 1 2 0
## 264 LP001871 1 1 1 0
## 265 LP001872 2 1 1 0
## 266 LP001875 2 1 1 0
## 267 LP001877 2 2 3 0
## 268 LP001882 2 2 4 0
## 269 LP001883 1 1 1 0
## 270 LP001884 1 1 2 0
## 271 LP001888 1 1 1 0
## 272 LP001891 2 2 1 0
## 273 LP001892 2 1 1 0
## 274 LP001894 2 2 1 0
## 275 LP001896 2 2 3 0
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## 614 2 1 03 TUGAS 2
3.1 Visualisasi Univariabel
3.1.1 Data Kategori
library(ggplot2)
library(dplyr)
library(magrittr)
library(glue)
plot_gender <- ggplot(dtakhir, aes(x =Gender))+geom_bar()
plot_married <- ggplot(dtakhir, aes(x = Married))+geom_bar()
plot_dependents<-ggplot(dtakhir, aes(x =Dependents))+geom_bar()
plot_education <- ggplot(dtakhir, aes(x = Education))+geom_bar()
plot_SE<-ggplot(dtakhir, aes(x = Self_Employed))+geom_bar()
plot_LAT <- ggplot(dtakhir, aes(x = Loan_Amount_Term))+geom_bar()+theme (axis.text.x=element_text(angle=45, vjust=0.5,hjust=0.5))
plot_CH<- ggplot(dtakhir, aes(x=Credit_History))+geom_bar()
plot_PA<-ggplot(dtakhir, aes(x=Property_Area))+geom_bar()
plot_LA<-ggplot(dtakhir, aes(x =Loan_Status))+geom_bar()plot_gender
plot_married
plot_dependents
plot_education
plot_SE
plot_LAT 
plot_CH
plot_PA
plot_LA
3.1.2 Data Numerik
dtakhir$APPCO_TotalIncome<-dtakhir$ApplicantIncome+dtakhir$CoapplicantIncome
plot_AI<-ggplot(dtakhir, aes(x= ApplicantIncome))+geom_histogram(bins=12, colour="white")
plot_APPCO <-ggplot(dtakhir, aes(x= APPCO_TotalIncome))+geom_histogram(bins=12, colour="white")
plot_LA<-ggplot(dtakhir, aes(x=LoanAmount))+geom_histogram(bins=12, colour="white")plot_AI
plot_APPCO
plot_LA
3.2 Visualisasi Bivariabel
3.2.1 Dua data kategorikal
plot2_6_M<- ggplot(dtakhir, aes(x=Gender, fill=Married))+
theme_minimal() +
geom_bar(position=position_dodge (preserve = "single"))
plot2_G_E <-ggplot(dtakhir, aes(x=Gender, fill=Education))+
theme_minimal()+
geom_bar(position=position_dodge (preserve="single"))
plot2_M_E <- ggplot(dtakhir, aes(x=Married, fill = Education)) +
theme_minimal() +
geom_bar(position = position_dodge (preserve="single"))
Plot2_E_PA <- ggplot(dtakhir, aes(x=Education, fill=Property_Area))+
theme_minimal() +
geom_bar(position = position_dodge (preserve="single"))
library("gridExtra")
grid.arrange(plot2_6_M,plot2_G_E,plot2_M_E,Plot2_E_PA)
3.2.2 Numerik vs Numerik
plot2_LA_ACT <-ggplot(dtakhir, aes(x=LoanAmount, y=APPCO_TotalIncome )) +
theme_minimal() +
geom_line()
plot2_AI_CI<-ggplot(dtakhir, aes(x=ApplicantIncome, y=CoapplicantIncome ))+
theme_minimal() +
geom_line()
plot2_AI_LA<-ggplot(dtakhir, aes(x=ApplicantIncome, y=LoanAmount))+
theme_minimal() +
geom_line()
grid.arrange(plot2_LA_ACT,plot2_AI_CI,plot2_AI_LA)
3.2.3 Numerik vs Kategorikal
plot2_LA_LS <- ggplot(dtakhir,aes(x=LoanAmount,
fill=Loan_Status)) +
geom_density (alpha = 0.3) +
theme_minimal() +
labs(title ="Loan Amount distribution by Loan Amount Term")
plot2_CI_M <-ggplot(dtakhir,aes(x=CoapplicantIncome,
fill=Married)) +
geom_density (alpha = 0.3) +
theme_minimal() +
labs (title = "Coapplicant Income distribution by Married")
plot2_AI_E <- ggplot(dtakhir,aes(x = ApplicantIncome,
fill=Education)) +
geom_density (alpha = 0.3) +
theme_minimal() +
labs (title="Applicant Income distribution by Education")
plot2_LA_PA <-ggplot(dtakhir,aes( x=ApplicantIncome,
fill=Property_Area)) +
geom_density(alpha = 0.3) +
theme_minimal() +
labs (title="Applicant Income distribution by Property Area")
grid.arrange(plot2_LA_LS,plot2_CI_M,plot2_AI_E,plot2_LA_PA)
3.3 Visualisasi Multivariabel
library(ggplot2)
plot3_AI_LA_PA <-ggplot(dtakhir, aes(x=ApplicantIncome,
y=LoanAmount,
shape=Property_Area, colour=Property_Area))+geom_point()
plot3_AI_LA_LAT <-ggplot(dtakhir, aes(x=APPCO_TotalIncome,
y=LoanAmount,
shape=Loan_Amount_Term, colour=Property_Area))+geom_point ()
plot3_AI_LA_E <-ggplot(dtakhir, aes(x=ApplicantIncome,
y =LoanAmount,
shape=Education,
colour=Property_Area))+geom_point()
plot3_LA_CI_SE <-ggplot(dtakhir, aes(x=LoanAmount,
y=APPCO_TotalIncome,
shape=Self_Employed,
colour=Property_Area))+geom_point ()plot3_AI_LA_PA
plot3_AI_LA_LATplot3_AI_LA_E
plot3_LA_CI_SE
4 Tugas 3
Lakukan proses analisa data secara deskriptif menggunakan R dan Python dengan beberapa langkah berikut:
4.1 Kualitatif
###Kategori Univariat
prop.table(table(dtakhir$Gender))##
## Female Male
## 0.01682243 0.18691589 0.79626168prop.table(table(dtakhir$Married))##
## No Yes
## 0.005607477 0.349532710 0.644859813prop.table(table(dtakhir$Dependents)) ##
## 0 1 2 3+
## 0.02616822 0.57383178 0.15700935 0.16822430 0.07476636prop.table(table(dtakhir$Education)) ##
## Graduate Not Graduate
## 0.7551402 0.2448598prop.table(table(dtakhir$Loan_Amount_Term))##
## 0 12 36 60 84 120
## 0.026168224 0.001869159 0.003738318 0.003738318 0.007476636 0.005607477
## 180 240 300 360 480
## 0.067289720 0.007476636 0.018691589 0.831775701 0.026168224prop.table(table(dtakhir$Credit_History))##
## 0 1
## 0.2261682 0.7738318prop.table(table(dtakhir$Property_Area))##
## Rural Semiurban Urban
## 0.2990654 0.3831776 0.3177570prop.table(table(dtakhir$Loan_Status))##
## N Y
## 0.3046729 0.69532714.1.1 Kategori Bivariat
dtakhir%>%select(Gender, Married)%>%table()## Married
## Gender No Yes
## 0 2 7
## Female 1 72 27
## Male 2 113 311dtakhir%>%select(Gender, Education)%>%table()## Education
## Gender Graduate Not Graduate
## 8 1
## Female 82 18
## Male 314 112dtakhir%>%select(Gender, Property_Area)%>%table()## Property_Area
## Gender Rural Semiurban Urban
## 3 4 2
## Female 24 49 27
## Male 133 152 141dtakhir%>%select(Gender, Self_Employed)%>%table()## Self_Employed
## Gender No Yes
## 0 6 3
## Female 7 83 10
## Male 22 356 48dtakhir%>%select(Gender, Loan_Amount_Term)%>%table()## Loan_Amount_Term
## Gender 0 12 36 60 84 120 180 240 300 360 480
## 0 0 0 0 0 0 1 0 0 8 0
## Female 3 0 1 0 1 0 2 1 1 87 4
## Male 11 1 1 2 3 3 33 3 9 350 10dtakhir%>%select(Married, Loan_Amount_Term)%>%table()## Loan_Amount_Term
## Married 0 12 36 60 84 120 180 240 300 360 480
## 0 0 0 0 0 0 0 1 0 1 1
## No 5 0 2 1 0 1 7 1 3 159 8
## Yes 9 1 0 1 4 2 29 2 7 285 54.1.2 Kategori Multivariat
dtakhir%>%select(Gender, Married,Education)%>%ftable()## Education Graduate Not Graduate
## Gender Married
## 0 0
## No 2 0
## Yes 6 1
## Female 1 0
## No 60 12
## Yes 21 6
## Male 2 0
## No 82 31
## Yes 230 81dtakhir%>%select(Gender, Married,Education, Property_Area, Loan_Amount_Term)%>%ftable()## Loan_Amount_Term 0 12 36 60 84 120 180 240 300 360 480
## Gender Married Education Property_Area
## Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## No Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 1 0
## Urban 0 0 0 0 0 0 0 0 0 1 0
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## Yes Graduate Rural 0 0 0 0 0 0 0 0 0 2 0
## Semiurban 0 0 0 0 0 0 0 0 0 3 0
## Urban 0 0 0 0 0 0 1 0 0 0 0
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 1 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## Female Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 1 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## No Graduate Rural 0 0 0 0 0 0 0 0 0 13 2
## Semiurban 0 0 1 0 0 0 0 0 1 23 0
## Urban 1 0 0 0 0 0 1 0 0 17 1
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 4 0
## Semiurban 0 0 0 0 0 0 0 0 0 5 0
## Urban 2 0 0 0 0 0 0 0 0 1 0
## Yes Graduate Rural 0 0 0 0 0 0 0 0 0 3 0
## Semiurban 0 0 0 0 1 0 1 0 0 11 1
## Urban 0 0 0 0 0 0 0 0 0 4 0
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 2 0
## Semiurban 0 0 0 0 0 0 0 0 0 4 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## Male Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 1
## Urban 0 0 0 0 0 0 0 0 0 1 0
## Not Graduate Rural 0 0 0 0 0 0 0 0 0 0 0
## Semiurban 0 0 0 0 0 0 0 0 0 0 0
## Urban 0 0 0 0 0 0 0 0 0 0 0
## No Graduate Rural 1 0 0 0 0 0 0 0 0 26 0
## Semiurban 0 0 0 0 0 0 1 0 1 22 2
## Urban 0 0 0 1 0 0 3 0 0 23 2
## Not Graduate Rural 1 0 0 0 0 0 0 0 1 11 0
## Semiurban 0 0 1 0 0 1 0 0 0 9 0
## Urban 0 0 0 0 0 0 2 1 0 3 1
## Yes Graduate Rural 1 0 0 0 2 0 7 0 1 54 0
## Semiurban 2 0 0 0 0 1 3 1 3 79 1
## Urban 3 1 0 0 1 1 4 1 1 63 0
## Not Graduate Rural 1 0 0 0 0 0 3 0 0 24 0
## Semiurban 1 0 0 0 0 0 2 0 1 18 2
## Urban 1 0 0 1 0 0 8 0 1 17 14.2 Kuantitatif
4.2.1 Univariat numerik
datn_new<-select_if(dtakhir, is.numeric)
summary(datn_new)## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## Min. : 150 Min. : 0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 2752 1st Qu.: 0 1st Qu.: 96.0 1st Qu.:360.0
## Median : 3598 Median :1260 Median :120.0 Median :360.0
## Mean : 4054 Mean :1323 Mean :121.6 Mean :333.2
## 3rd Qu.: 4891 3rd Qu.:2194 3rd Qu.:151.5 3rd Qu.:360.0
## Max. :10139 Max. :5701 Max. :260.0 Max. :480.0
## Credit_History APPCO_TotalIncome
## Min. :0.0000 Min. : 1442
## 1st Qu.:1.0000 1st Qu.: 3900
## Median :1.0000 Median : 5000
## Mean :0.7738 Mean : 5377
## 3rd Qu.:1.0000 3rd Qu.: 6411
## Max. :1.0000 Max. :13746library(moments)
f<-function(x){
data.frame(var(x),
sd(x),
mad(x),
IQR(x),
skewness(x),
kurtosis(x))}
sapply(datn_new,f)## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## var.x. 3435005 2019827 2551.245 7266.282
## sd.x. 1853.377 1421.206 50.50985 85.24249
## mad.x. 1504.839 1868.076 38.5476 0
## IQR.x. 2138.5 2194 55.5 0
## skewness.x. 1.139029 0.8435314 0.003766545 -2.467683
## kurtosis.x. 4.208463 3.030757 3.554249 9.183479
## Credit_History APPCO_TotalIncome
## var.x. 0.1753439 4049507
## sd.x. 0.4187409 2012.339
## mad.x. 0 1813.22
## IQR.x. 0 2511
## skewness.x. -1.309106 0.9294353
## kurtosis.x. 2.713758 3.9634944.2.2 Bivariat numerik
cov(datn_new$ApplicantIncome,datn_new$CoapplicantIncome)## [1] -702662.6cov(datn_new$CoapplicantIncome,datn_new$LoanAmount)## [1] 19171.36cov(datn_new$LoanAmount,datn_new$ApplicantIncome)## [1] 38506.02cor(datn_new$LoanAmount,datn_new$APPCO_TotalIncome)## [1] 0.567451cor(datn_new$ApplicantIncome,datn_new$CoapplicantIncome)## [1] -0.2667633cor(datn_new$CoapplicantIncome,datn_new$LoanAmount)## [1] 0.2670667cor(datn_new$LoanAmount,datn_new$ApplicantIncome)## [1] 0.4113285cor(datn_new$LoanAmount,datn_new$APPCO_TotalIncome)## [1] 0.5674514.2.3 Multivariat numerik
cov(datn_new)## ApplicantIncome CoapplicantIncome LoanAmount
## ApplicantIncome 3435005.10002 -702662.55117 3.850602e+04
## CoapplicantIncome -702662.55117 2019826.68432 1.917136e+04
## LoanAmount 38506.01963 19171.35832 2.551245e+03
## Loan_Amount_Term -8272.62165 -4656.60781 3.423033e+02
## Credit_History 55.92708 -18.61241 1.349715e-02
## APPCO_TotalIncome 2732342.54885 1317164.13315 5.767738e+04
## Loan_Amount_Term Credit_History APPCO_TotalIncome
## ApplicantIncome -8272.621653 55.92708180 2732342.54885
## CoapplicantIncome -4656.607813 -18.61241094 1317164.13315
## LoanAmount 342.303266 0.01349715 57677.37794
## Loan_Amount_Term 7266.281634 1.72424656 -12929.22947
## Credit_History 1.724247 0.17534390 37.31467
## APPCO_TotalIncome -12929.229466 37.31467086 4049506.68200cor(datn_new)## ApplicantIncome CoapplicantIncome LoanAmount
## ApplicantIncome 1.00000000 -0.26676329 0.4113285245
## CoapplicantIncome -0.26676329 1.00000000 0.2670666904
## LoanAmount 0.41132852 0.26706669 1.0000000000
## Loan_Amount_Term -0.05236286 -0.03843762 0.0795021406
## Credit_History 0.07206313 -0.03127521 0.0006381467
## APPCO_TotalIncome 0.73260587 0.46055530 0.5674509687
## Loan_Amount_Term Credit_History APPCO_TotalIncome
## ApplicantIncome -0.05236286 0.0720631314 0.73260587
## CoapplicantIncome -0.03843762 -0.0312752107 0.46055530
## LoanAmount 0.07950214 0.0006381467 0.56745097
## Loan_Amount_Term 1.00000000 0.0483056487 -0.07537294
## Credit_History 0.04830565 1.0000000000 0.04428261
## APPCO_TotalIncome -0.07537294 0.0442826109 1.000000004.3 EDA dengan cara Malas
library(funModeling)
library(tidyverse)
library(Hmisc)
library(skimr)basic_eda <- function(dat)
{
glimpse(dat)
skim(dat)
df_status(dat)
freq(dat)
profiling_num(dat)
plot_num(dat)
describe(dat)
}
basic_eda(dat)## Rows: 614
## Columns: 13
## $ Loan_ID <chr> "LP001002", "LP001003", "LP001005", "LP001006", "LP0~
## $ Gender <chr> "Male", "Male", "Male", "Male", "Male", "Male", "Mal~
## $ Married <chr> "No", "Yes", "Yes", "Yes", "No", "Yes", "Yes", "Yes"~
## $ Dependents <chr> "0", "1", "0", "0", "0", "2", "0", "3+", "2", "1", "~
## $ Education <chr> "Graduate", "Graduate", "Graduate", "Not Graduate", ~
## $ Self_Employed <chr> "No", "No", "Yes", "No", "No", "Yes", "No", "No", "N~
## $ ApplicantIncome <int> 5849, 4583, 3000, 2583, 6000, 5417, 2333, 3036, 4006~
## $ CoapplicantIncome <dbl> 0, 1508, 0, 2358, 0, 4196, 1516, 2504, 1526, 10968, ~
## $ LoanAmount <dbl> 0, 128, 66, 120, 141, 267, 95, 158, 168, 349, 70, 10~
## $ Loan_Amount_Term <dbl> 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 36~
## $ Credit_History <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0~
## $ Property_Area <chr> "Urban", "Rural", "Urban", "Urban", "Urban", "Urban"~
## $ Loan_Status <chr> "Y", "N", "Y", "Y", "Y", "Y", "Y", "N", "Y", "N", "Y~
## variable q_zeros p_zeros q_na p_na q_inf p_inf type unique
## 1 Loan_ID 0 0.00 0 0 0 0 character 614
## 2 Gender 0 0.00 0 0 0 0 character 3
## 3 Married 0 0.00 0 0 0 0 character 3
## 4 Dependents 345 56.19 0 0 0 0 character 5
## 5 Education 0 0.00 0 0 0 0 character 2
## 6 Self_Employed 0 0.00 0 0 0 0 character 3
## 7 ApplicantIncome 0 0.00 0 0 0 0 integer 505
## 8 CoapplicantIncome 273 44.46 0 0 0 0 numeric 287
## 9 LoanAmount 22 3.58 0 0 0 0 numeric 204
## 10 Loan_Amount_Term 14 2.28 0 0 0 0 numeric 11
## 11 Credit_History 139 22.64 0 0 0 0 numeric 2
## 12 Property_Area 0 0.00 0 0 0 0 character 3
## 13 Loan_Status 0 0.00 0 0 0 0 character 2
## Loan_ID frequency percentage cumulative_perc
## 1 LP001002 1 0.16 0.16
## 2 LP001003 1 0.16 0.32
## 3 LP001005 1 0.16 0.48
## 4 LP001006 1 0.16 0.64
## 5 LP001008 1 0.16 0.80
## 6 LP001011 1 0.16 0.96
## 7 LP001013 1 0.16 1.12
## 8 LP001014 1 0.16 1.28
## 9 LP001018 1 0.16 1.44
## 10 LP001020 1 0.16 1.60
## 11 LP001024 1 0.16 1.76
## 12 LP001027 1 0.16 1.92
## 13 LP001028 1 0.16 2.08
## 14 LP001029 1 0.16 2.24
## 15 LP001030 1 0.16 2.40
## 16 LP001032 1 0.16 2.56
## 17 LP001034 1 0.16 2.72
## 18 LP001036 1 0.16 2.88
## 19 LP001038 1 0.16 3.04
## 20 LP001041 1 0.16 3.20
## 21 LP001043 1 0.16 3.36
## 22 LP001046 1 0.16 3.52
## 23 LP001047 1 0.16 3.68
## 24 LP001050 1 0.16 3.84
## 25 LP001052 1 0.16 4.00
## 26 LP001066 1 0.16 4.16
## 27 LP001068 1 0.16 4.32
## 28 LP001073 1 0.16 4.48
## 29 LP001086 1 0.16 4.64
## 30 LP001087 1 0.16 4.80
## 31 LP001091 1 0.16 4.96
## 32 LP001095 1 0.16 5.12
## 33 LP001097 1 0.16 5.28
## 34 LP001098 1 0.16 5.44
## 35 LP001100 1 0.16 5.60
## 36 LP001106 1 0.16 5.76
## 37 LP001109 1 0.16 5.92
## 38 LP001112 1 0.16 6.08
## 39 LP001114 1 0.16 6.24
## 40 LP001116 1 0.16 6.40
## 41 LP001119 1 0.16 6.56
## 42 LP001120 1 0.16 6.72
## 43 LP001123 1 0.16 6.88
## 44 LP001131 1 0.16 7.04
## 45 LP001136 1 0.16 7.20
## 46 LP001137 1 0.16 7.36
## 47 LP001138 1 0.16 7.52
## 48 LP001144 1 0.16 7.68
## 49 LP001146 1 0.16 7.84
## 50 LP001151 1 0.16 8.00
## 51 LP001155 1 0.16 8.16
## 52 LP001157 1 0.16 8.32
## 53 LP001164 1 0.16 8.48
## 54 LP001179 1 0.16 8.64
## 55 LP001186 1 0.16 8.80
## 56 LP001194 1 0.16 8.96
## 57 LP001195 1 0.16 9.12
## 58 LP001197 1 0.16 9.28
## 59 LP001198 1 0.16 9.44
## 60 LP001199 1 0.16 9.60
## 61 LP001205 1 0.16 9.76
## 62 LP001206 1 0.16 9.92
## 63 LP001207 1 0.16 10.08
## 64 LP001213 1 0.16 10.24
## 65 LP001222 1 0.16 10.40
## 66 LP001225 1 0.16 10.56
## 67 LP001228 1 0.16 10.72
## 68 LP001233 1 0.16 10.88
## 69 LP001238 1 0.16 11.04
## 70 LP001241 1 0.16 11.20
## 71 LP001243 1 0.16 11.36
## 72 LP001245 1 0.16 11.52
## 73 LP001248 1 0.16 11.68
## 74 LP001250 1 0.16 11.84
## 75 LP001253 1 0.16 12.00
## 76 LP001255 1 0.16 12.16
## 77 LP001256 1 0.16 12.32
## 78 LP001259 1 0.16 12.48
## 79 LP001263 1 0.16 12.64
## 80 LP001264 1 0.16 12.80
## 81 LP001265 1 0.16 12.96
## 82 LP001266 1 0.16 13.12
## 83 LP001267 1 0.16 13.28
## 84 LP001273 1 0.16 13.44
## 85 LP001275 1 0.16 13.60
## 86 LP001279 1 0.16 13.76
## 87 LP001280 1 0.16 13.92
## 88 LP001282 1 0.16 14.08
## 89 LP001289 1 0.16 14.24
## 90 LP001310 1 0.16 14.40
## 91 LP001316 1 0.16 14.56
## 92 LP001318 1 0.16 14.72
## 93 LP001319 1 0.16 14.88
## 94 LP001322 1 0.16 15.04
## 95 LP001325 1 0.16 15.20
## 96 LP001326 1 0.16 15.36
## 97 LP001327 1 0.16 15.52
## 98 LP001333 1 0.16 15.68
## 99 LP001334 1 0.16 15.84
## 100 LP001343 1 0.16 16.00
## 101 LP001345 1 0.16 16.16
## 102 LP001349 1 0.16 16.32
## 103 LP001350 1 0.16 16.48
## 104 LP001356 1 0.16 16.64
## 105 LP001357 1 0.16 16.80
## 106 LP001367 1 0.16 16.96
## 107 LP001369 1 0.16 17.12
## 108 LP001370 1 0.16 17.28
## 109 LP001379 1 0.16 17.44
## 110 LP001384 1 0.16 17.60
## 111 LP001385 1 0.16 17.76
## 112 LP001387 1 0.16 17.92
## 113 LP001391 1 0.16 18.08
## 114 LP001392 1 0.16 18.24
## 115 LP001398 1 0.16 18.40
## 116 LP001401 1 0.16 18.56
## 117 LP001404 1 0.16 18.72
## 118 LP001405 1 0.16 18.88
## 119 LP001421 1 0.16 19.04
## 120 LP001422 1 0.16 19.20
## 121 LP001426 1 0.16 19.36
## 122 LP001430 1 0.16 19.52
## 123 LP001431 1 0.16 19.68
## 124 LP001432 1 0.16 19.84
## 125 LP001439 1 0.16 20.00
## 126 LP001443 1 0.16 20.16
## 127 LP001448 1 0.16 20.32
## 128 LP001449 1 0.16 20.48
## 129 LP001451 1 0.16 20.64
## 130 LP001465 1 0.16 20.80
## 131 LP001469 1 0.16 20.96
## 132 LP001473 1 0.16 21.12
## 133 LP001478 1 0.16 21.28
## 134 LP001482 1 0.16 21.44
## 135 LP001487 1 0.16 21.60
## 136 LP001488 1 0.16 21.76
## 137 LP001489 1 0.16 21.92
## 138 LP001491 1 0.16 22.08
## 139 LP001492 1 0.16 22.24
## 140 LP001493 1 0.16 22.40
## 141 LP001497 1 0.16 22.56
## 142 LP001498 1 0.16 22.72
## 143 LP001504 1 0.16 22.88
## 144 LP001507 1 0.16 23.04
## 145 LP001508 1 0.16 23.20
## 146 LP001514 1 0.16 23.36
## 147 LP001516 1 0.16 23.52
## 148 LP001518 1 0.16 23.68
## 149 LP001519 1 0.16 23.84
## 150 LP001520 1 0.16 24.00
## 151 LP001528 1 0.16 24.16
## 152 LP001529 1 0.16 24.32
## 153 LP001531 1 0.16 24.48
## 154 LP001532 1 0.16 24.64
## 155 LP001535 1 0.16 24.80
## 156 LP001536 1 0.16 24.96
## 157 LP001541 1 0.16 25.12
## 158 LP001543 1 0.16 25.28
## 159 LP001546 1 0.16 25.44
## 160 LP001552 1 0.16 25.60
## 161 LP001560 1 0.16 25.76
## 162 LP001562 1 0.16 25.92
## 163 LP001565 1 0.16 26.08
## 164 LP001570 1 0.16 26.24
## 165 LP001572 1 0.16 26.40
## 166 LP001574 1 0.16 26.56
## 167 LP001577 1 0.16 26.72
## 168 LP001578 1 0.16 26.88
## 169 LP001579 1 0.16 27.04
## 170 LP001580 1 0.16 27.20
## 171 LP001581 1 0.16 27.36
## 172 LP001585 1 0.16 27.52
## 173 LP001586 1 0.16 27.68
## 174 LP001594 1 0.16 27.84
## 175 LP001603 1 0.16 28.00
## 176 LP001606 1 0.16 28.16
## 177 LP001608 1 0.16 28.32
## 178 LP001610 1 0.16 28.48
## 179 LP001616 1 0.16 28.64
## 180 LP001630 1 0.16 28.80
## 181 LP001633 1 0.16 28.96
## 182 LP001634 1 0.16 29.12
## 183 LP001636 1 0.16 29.28
## 184 LP001637 1 0.16 29.44
## 185 LP001639 1 0.16 29.60
## 186 LP001640 1 0.16 29.76
## 187 LP001641 1 0.16 29.92
## 188 LP001643 1 0.16 30.08
## 189 LP001644 1 0.16 30.24
## 190 LP001647 1 0.16 30.40
## 191 LP001653 1 0.16 30.56
## 192 LP001656 1 0.16 30.72
## 193 LP001657 1 0.16 30.88
## 194 LP001658 1 0.16 31.04
## 195 LP001664 1 0.16 31.20
## 196 LP001665 1 0.16 31.36
## 197 LP001666 1 0.16 31.52
## 198 LP001669 1 0.16 31.68
## 199 LP001671 1 0.16 31.84
## 200 LP001673 1 0.16 32.00
## 201 LP001674 1 0.16 32.16
## 202 LP001677 1 0.16 32.32
## 203 LP001682 1 0.16 32.48
## 204 LP001688 1 0.16 32.64
## 205 LP001691 1 0.16 32.80
## 206 LP001692 1 0.16 32.96
## 207 LP001693 1 0.16 33.12
## 208 LP001698 1 0.16 33.28
## 209 LP001699 1 0.16 33.44
## 210 LP001702 1 0.16 33.60
## 211 LP001708 1 0.16 33.76
## 212 LP001711 1 0.16 33.92
## 213 LP001713 1 0.16 34.08
## 214 LP001715 1 0.16 34.24
## 215 LP001716 1 0.16 34.40
## 216 LP001720 1 0.16 34.56
## 217 LP001722 1 0.16 34.72
## 218 LP001726 1 0.16 34.88
## 219 LP001732 1 0.16 35.04
## 220 LP001734 1 0.16 35.20
## 221 LP001736 1 0.16 35.36
## 222 LP001743 1 0.16 35.52
## 223 LP001744 1 0.16 35.68
## 224 LP001749 1 0.16 35.84
## 225 LP001750 1 0.16 36.00
## 226 LP001751 1 0.16 36.16
## 227 LP001754 1 0.16 36.32
## 228 LP001758 1 0.16 36.48
## 229 LP001760 1 0.16 36.64
## 230 LP001761 1 0.16 36.80
## 231 LP001765 1 0.16 36.96
## 232 LP001768 1 0.16 37.12
## 233 LP001770 1 0.16 37.28
## 234 LP001776 1 0.16 37.44
## 235 LP001778 1 0.16 37.60
## 236 LP001784 1 0.16 37.76
## 237 LP001786 1 0.16 37.92
## 238 LP001788 1 0.16 38.08
## 239 LP001790 1 0.16 38.24
## 240 LP001792 1 0.16 38.40
## 241 LP001798 1 0.16 38.56
## 242 LP001800 1 0.16 38.72
## 243 LP001806 1 0.16 38.88
## 244 LP001807 1 0.16 39.04
## 245 LP001811 1 0.16 39.20
## 246 LP001813 1 0.16 39.36
## 247 LP001814 1 0.16 39.52
## 248 LP001819 1 0.16 39.68
## 249 LP001824 1 0.16 39.84
## 250 LP001825 1 0.16 40.00
## 251 LP001835 1 0.16 40.16
## 252 LP001836 1 0.16 40.32
## 253 LP001841 1 0.16 40.48
## 254 LP001843 1 0.16 40.64
## 255 LP001844 1 0.16 40.80
## 256 LP001846 1 0.16 40.96
## 257 LP001849 1 0.16 41.12
## 258 LP001854 1 0.16 41.28
## 259 LP001859 1 0.16 41.44
## 260 LP001864 1 0.16 41.60
## 261 LP001865 1 0.16 41.76
## 262 LP001868 1 0.16 41.92
## 263 LP001870 1 0.16 42.08
## 264 LP001871 1 0.16 42.24
## 265 LP001872 1 0.16 42.40
## 266 LP001875 1 0.16 42.56
## 267 LP001877 1 0.16 42.72
## 268 LP001882 1 0.16 42.88
## 269 LP001883 1 0.16 43.04
## 270 LP001884 1 0.16 43.20
## 271 LP001888 1 0.16 43.36
## 272 LP001891 1 0.16 43.52
## 273 LP001892 1 0.16 43.68
## 274 LP001894 1 0.16 43.84
## 275 LP001896 1 0.16 44.00
## 276 LP001900 1 0.16 44.16
## 277 LP001903 1 0.16 44.32
## 278 LP001904 1 0.16 44.48
## 279 LP001907 1 0.16 44.64
## 280 LP001908 1 0.16 44.80
## 281 LP001910 1 0.16 44.96
## 282 LP001914 1 0.16 45.12
## 283 LP001915 1 0.16 45.28
## 284 LP001917 1 0.16 45.44
## 285 LP001922 1 0.16 45.60
## 286 LP001924 1 0.16 45.76
## 287 LP001925 1 0.16 45.92
## 288 LP001926 1 0.16 46.08
## 289 LP001931 1 0.16 46.24
## 290 LP001935 1 0.16 46.40
## 291 LP001936 1 0.16 46.56
## 292 LP001938 1 0.16 46.72
## 293 LP001940 1 0.16 46.88
## 294 LP001945 1 0.16 47.04
## 295 LP001947 1 0.16 47.20
## 296 LP001949 1 0.16 47.36
## 297 LP001953 1 0.16 47.52
## 298 LP001954 1 0.16 47.68
## 299 LP001955 1 0.16 47.84
## 300 LP001963 1 0.16 48.00
## 301 LP001964 1 0.16 48.16
## 302 LP001972 1 0.16 48.32
## 303 LP001974 1 0.16 48.48
## 304 LP001977 1 0.16 48.64
## 305 LP001978 1 0.16 48.80
## 306 LP001990 1 0.16 48.96
## 307 LP001993 1 0.16 49.12
## 308 LP001994 1 0.16 49.28
## 309 LP001996 1 0.16 49.44
## 310 LP001998 1 0.16 49.60
## 311 LP002002 1 0.16 49.76
## 312 LP002004 1 0.16 49.92
## 313 LP002006 1 0.16 50.08
## 314 LP002008 1 0.16 50.24
## 315 LP002024 1 0.16 50.40
## 316 LP002031 1 0.16 50.56
## 317 LP002035 1 0.16 50.72
## 318 LP002036 1 0.16 50.88
## 319 LP002043 1 0.16 51.04
## 320 LP002050 1 0.16 51.20
## 321 LP002051 1 0.16 51.36
## 322 LP002053 1 0.16 51.52
## 323 LP002054 1 0.16 51.68
## 324 LP002055 1 0.16 51.84
## 325 LP002065 1 0.16 52.00
## 326 LP002067 1 0.16 52.16
## 327 LP002068 1 0.16 52.32
## 328 LP002082 1 0.16 52.48
## 329 LP002086 1 0.16 52.64
## 330 LP002087 1 0.16 52.80
## 331 LP002097 1 0.16 52.96
## 332 LP002098 1 0.16 53.12
## 333 LP002100 1 0.16 53.28
## 334 LP002101 1 0.16 53.44
## 335 LP002103 1 0.16 53.60
## 336 LP002106 1 0.16 53.76
## 337 LP002110 1 0.16 53.92
## 338 LP002112 1 0.16 54.08
## 339 LP002113 1 0.16 54.24
## 340 LP002114 1 0.16 54.40
## 341 LP002115 1 0.16 54.56
## 342 LP002116 1 0.16 54.72
## 343 LP002119 1 0.16 54.88
## 344 LP002126 1 0.16 55.04
## 345 LP002128 1 0.16 55.20
## 346 LP002129 1 0.16 55.36
## 347 LP002130 1 0.16 55.52
## 348 LP002131 1 0.16 55.68
## 349 LP002137 1 0.16 55.84
## 350 LP002138 1 0.16 56.00
## 351 LP002139 1 0.16 56.16
## 352 LP002140 1 0.16 56.32
## 353 LP002141 1 0.16 56.48
## 354 LP002142 1 0.16 56.64
## 355 LP002143 1 0.16 56.80
## 356 LP002144 1 0.16 56.96
## 357 LP002149 1 0.16 57.12
## 358 LP002151 1 0.16 57.28
## 359 LP002158 1 0.16 57.44
## 360 LP002160 1 0.16 57.60
## 361 LP002161 1 0.16 57.76
## 362 LP002170 1 0.16 57.92
## 363 LP002175 1 0.16 58.08
## 364 LP002178 1 0.16 58.24
## 365 LP002180 1 0.16 58.40
## 366 LP002181 1 0.16 58.56
## 367 LP002187 1 0.16 58.72
## 368 LP002188 1 0.16 58.88
## 369 LP002190 1 0.16 59.04
## 370 LP002191 1 0.16 59.20
## 371 LP002194 1 0.16 59.36
## 372 LP002197 1 0.16 59.52
## 373 LP002201 1 0.16 59.68
## 374 LP002205 1 0.16 59.84
## 375 LP002209 1 0.16 60.00
## 376 LP002211 1 0.16 60.16
## 377 LP002219 1 0.16 60.32
## 378 LP002223 1 0.16 60.48
## 379 LP002224 1 0.16 60.64
## 380 LP002225 1 0.16 60.80
## 381 LP002226 1 0.16 60.96
## 382 LP002229 1 0.16 61.12
## 383 LP002231 1 0.16 61.28
## 384 LP002234 1 0.16 61.44
## 385 LP002236 1 0.16 61.60
## 386 LP002237 1 0.16 61.76
## 387 LP002239 1 0.16 61.92
## 388 LP002243 1 0.16 62.08
## 389 LP002244 1 0.16 62.24
## 390 LP002250 1 0.16 62.40
## 391 LP002255 1 0.16 62.56
## 392 LP002262 1 0.16 62.72
## 393 LP002263 1 0.16 62.88
## 394 LP002265 1 0.16 63.04
## 395 LP002266 1 0.16 63.20
## 396 LP002272 1 0.16 63.36
## 397 LP002277 1 0.16 63.52
## 398 LP002281 1 0.16 63.68
## 399 LP002284 1 0.16 63.84
## 400 LP002287 1 0.16 64.00
## 401 LP002288 1 0.16 64.16
## 402 LP002296 1 0.16 64.32
## 403 LP002297 1 0.16 64.48
## 404 LP002300 1 0.16 64.64
## 405 LP002301 1 0.16 64.80
## 406 LP002305 1 0.16 64.96
## 407 LP002308 1 0.16 65.12
## 408 LP002314 1 0.16 65.28
## 409 LP002315 1 0.16 65.44
## 410 LP002317 1 0.16 65.60
## 411 LP002318 1 0.16 65.76
## 412 LP002319 1 0.16 65.92
## 413 LP002328 1 0.16 66.08
## 414 LP002332 1 0.16 66.24
## 415 LP002335 1 0.16 66.40
## 416 LP002337 1 0.16 66.56
## 417 LP002341 1 0.16 66.72
## 418 LP002342 1 0.16 66.88
## 419 LP002345 1 0.16 67.04
## 420 LP002347 1 0.16 67.20
## 421 LP002348 1 0.16 67.36
## 422 LP002357 1 0.16 67.52
## 423 LP002361 1 0.16 67.68
## 424 LP002362 1 0.16 67.84
## 425 LP002364 1 0.16 68.00
## 426 LP002366 1 0.16 68.16
## 427 LP002367 1 0.16 68.32
## 428 LP002368 1 0.16 68.48
## 429 LP002369 1 0.16 68.64
## 430 LP002370 1 0.16 68.80
## 431 LP002377 1 0.16 68.96
## 432 LP002379 1 0.16 69.12
## 433 LP002386 1 0.16 69.28
## 434 LP002387 1 0.16 69.44
## 435 LP002390 1 0.16 69.60
## 436 LP002393 1 0.16 69.76
## 437 LP002398 1 0.16 69.92
## 438 LP002401 1 0.16 70.08
## 439 LP002403 1 0.16 70.24
## 440 LP002407 1 0.16 70.40
## 441 LP002408 1 0.16 70.56
## 442 LP002409 1 0.16 70.72
## 443 LP002418 1 0.16 70.88
## 444 LP002422 1 0.16 71.04
## 445 LP002424 1 0.16 71.20
## 446 LP002429 1 0.16 71.36
## 447 LP002434 1 0.16 71.52
## 448 LP002435 1 0.16 71.68
## 449 LP002443 1 0.16 71.84
## 450 LP002444 1 0.16 72.00
## 451 LP002446 1 0.16 72.16
## 452 LP002447 1 0.16 72.32
## 453 LP002448 1 0.16 72.48
## 454 LP002449 1 0.16 72.64
## 455 LP002453 1 0.16 72.80
## 456 LP002455 1 0.16 72.96
## 457 LP002459 1 0.16 73.12
## 458 LP002467 1 0.16 73.28
## 459 LP002472 1 0.16 73.44
## 460 LP002473 1 0.16 73.60
## 461 LP002478 1 0.16 73.76
## 462 LP002484 1 0.16 73.92
## 463 LP002487 1 0.16 74.08
## 464 LP002489 1 0.16 74.24
## 465 LP002493 1 0.16 74.40
## 466 LP002494 1 0.16 74.56
## 467 LP002500 1 0.16 74.72
## 468 LP002501 1 0.16 74.88
## 469 LP002502 1 0.16 75.04
## 470 LP002505 1 0.16 75.20
## 471 LP002515 1 0.16 75.36
## 472 LP002517 1 0.16 75.52
## 473 LP002519 1 0.16 75.68
## 474 LP002522 1 0.16 75.84
## 475 LP002524 1 0.16 76.00
## 476 LP002527 1 0.16 76.16
## 477 LP002529 1 0.16 76.32
## 478 LP002530 1 0.16 76.48
## 479 LP002531 1 0.16 76.64
## 480 LP002533 1 0.16 76.80
## 481 LP002534 1 0.16 76.96
## 482 LP002536 1 0.16 77.12
## 483 LP002537 1 0.16 77.28
## 484 LP002541 1 0.16 77.44
## 485 LP002543 1 0.16 77.60
## 486 LP002544 1 0.16 77.76
## 487 LP002545 1 0.16 77.92
## 488 LP002547 1 0.16 78.08
## 489 LP002555 1 0.16 78.24
## 490 LP002556 1 0.16 78.40
## 491 LP002560 1 0.16 78.56
## 492 LP002562 1 0.16 78.72
## 493 LP002571 1 0.16 78.88
## 494 LP002582 1 0.16 79.04
## 495 LP002585 1 0.16 79.20
## 496 LP002586 1 0.16 79.36
## 497 LP002587 1 0.16 79.52
## 498 LP002588 1 0.16 79.68
## 499 LP002600 1 0.16 79.84
## 500 LP002602 1 0.16 80.00
## 501 LP002603 1 0.16 80.16
## 502 LP002606 1 0.16 80.32
## 503 LP002615 1 0.16 80.48
## 504 LP002618 1 0.16 80.64
## 505 LP002619 1 0.16 80.80
## 506 LP002622 1 0.16 80.96
## 507 LP002624 1 0.16 81.12
## 508 LP002625 1 0.16 81.28
## 509 LP002626 1 0.16 81.44
## 510 LP002634 1 0.16 81.60
## 511 LP002637 1 0.16 81.76
## 512 LP002640 1 0.16 81.92
## 513 LP002643 1 0.16 82.08
## 514 LP002648 1 0.16 82.24
## 515 LP002652 1 0.16 82.40
## 516 LP002659 1 0.16 82.56
## 517 LP002670 1 0.16 82.72
## 518 LP002682 1 0.16 82.88
## 519 LP002683 1 0.16 83.04
## 520 LP002684 1 0.16 83.20
## 521 LP002689 1 0.16 83.36
## 522 LP002690 1 0.16 83.52
## 523 LP002692 1 0.16 83.68
## 524 LP002693 1 0.16 83.84
## 525 LP002697 1 0.16 84.00
## 526 LP002699 1 0.16 84.16
## 527 LP002705 1 0.16 84.32
## 528 LP002706 1 0.16 84.48
## 529 LP002714 1 0.16 84.64
## 530 LP002716 1 0.16 84.80
## 531 LP002717 1 0.16 84.96
## 532 LP002720 1 0.16 85.12
## 533 LP002723 1 0.16 85.28
## 534 LP002729 1 0.16 85.44
## 535 LP002731 1 0.16 85.60
## 536 LP002732 1 0.16 85.76
## 537 LP002734 1 0.16 85.92
## 538 LP002738 1 0.16 86.08
## 539 LP002739 1 0.16 86.24
## 540 LP002740 1 0.16 86.40
## 541 LP002741 1 0.16 86.56
## 542 LP002743 1 0.16 86.72
## 543 LP002753 1 0.16 86.88
## 544 LP002755 1 0.16 87.04
## 545 LP002757 1 0.16 87.20
## 546 LP002767 1 0.16 87.36
## 547 LP002768 1 0.16 87.52
## 548 LP002772 1 0.16 87.68
## 549 LP002776 1 0.16 87.84
## 550 LP002777 1 0.16 88.00
## 551 LP002778 1 0.16 88.16
## 552 LP002784 1 0.16 88.32
## 553 LP002785 1 0.16 88.48
## 554 LP002788 1 0.16 88.64
## 555 LP002789 1 0.16 88.80
## 556 LP002792 1 0.16 88.96
## 557 LP002794 1 0.16 89.12
## 558 LP002795 1 0.16 89.28
## 559 LP002798 1 0.16 89.44
## 560 LP002804 1 0.16 89.60
## 561 LP002807 1 0.16 89.76
## 562 LP002813 1 0.16 89.92
## 563 LP002820 1 0.16 90.08
## 564 LP002821 1 0.16 90.24
## 565 LP002832 1 0.16 90.40
## 566 LP002833 1 0.16 90.56
## 567 LP002836 1 0.16 90.72
## 568 LP002837 1 0.16 90.88
## 569 LP002840 1 0.16 91.04
## 570 LP002841 1 0.16 91.20
## 571 LP002842 1 0.16 91.36
## 572 LP002847 1 0.16 91.52
## 573 LP002855 1 0.16 91.68
## 574 LP002862 1 0.16 91.84
## 575 LP002863 1 0.16 92.00
## 576 LP002868 1 0.16 92.16
## 577 LP002872 1 0.16 92.32
## 578 LP002874 1 0.16 92.48
## 579 LP002877 1 0.16 92.64
## 580 LP002888 1 0.16 92.80
## 581 LP002892 1 0.16 92.96
## 582 LP002893 1 0.16 93.12
## 583 LP002894 1 0.16 93.28
## 584 LP002898 1 0.16 93.44
## 585 LP002911 1 0.16 93.60
## 586 LP002912 1 0.16 93.76
## 587 LP002916 1 0.16 93.92
## 588 LP002917 1 0.16 94.08
## 589 LP002925 1 0.16 94.24
## 590 LP002926 1 0.16 94.40
## 591 LP002928 1 0.16 94.56
## 592 LP002931 1 0.16 94.72
## 593 LP002933 1 0.16 94.88
## 594 LP002936 1 0.16 95.04
## 595 LP002938 1 0.16 95.20
## 596 LP002940 1 0.16 95.36
## 597 LP002941 1 0.16 95.52
## 598 LP002943 1 0.16 95.68
## 599 LP002945 1 0.16 95.84
## 600 LP002948 1 0.16 96.00
## 601 LP002949 1 0.16 96.16
## 602 LP002950 1 0.16 96.32
## 603 LP002953 1 0.16 96.48
## 604 LP002958 1 0.16 96.64
## 605 LP002959 1 0.16 96.80
## 606 LP002960 1 0.16 96.96
## 607 LP002961 1 0.16 97.12
## 608 LP002964 1 0.16 97.28
## 609 LP002974 1 0.16 97.44
## 610 LP002978 1 0.16 97.60
## 611 LP002979 1 0.16 97.76
## 612 LP002983 1 0.16 97.92
## 613 LP002984 1 0.16 98.08
## 614 LP002990 1 0.16 100.00
## Gender frequency percentage cumulative_perc
## 1 Male 489 79.64 79.64
## 2 Female 112 18.24 97.88
## 3 13 2.12 100.00
## Married frequency percentage cumulative_perc
## 1 Yes 398 64.82 64.82
## 2 No 213 34.69 99.51
## 3 3 0.49 100.00
## Dependents frequency percentage cumulative_perc
## 1 0 345 56.19 56.19
## 2 1 102 16.61 72.80
## 3 2 101 16.45 89.25
## 4 3+ 51 8.31 97.56
## 5 15 2.44 100.00
## Education frequency percentage cumulative_perc
## 1 Graduate 480 78.18 78.18
## 2 Not Graduate 134 21.82 100.00
## Self_Employed frequency percentage cumulative_perc
## 1 No 500 81.43 81.43
## 2 Yes 82 13.36 94.79
## 3 32 5.21 100.00
## Property_Area frequency percentage cumulative_perc
## 1 Semiurban 233 37.95 37.95
## 2 Urban 202 32.90 70.85
## 3 Rural 179 29.15 100.00
## Loan_Status frequency percentage cumulative_perc
## 1 Y 422 68.73 68.73
## 2 N 192 31.27 100.00
## dat
##
## 13 Variables 614 Observations
## --------------------------------------------------------------------------------
## Loan_ID
## n missing distinct
## 614 0 614
##
## lowest : LP001002 LP001003 LP001005 LP001006 LP001008
## highest: LP002978 LP002979 LP002983 LP002984 LP002990
## --------------------------------------------------------------------------------
## Gender
## n missing distinct
## 601 13 2
##
## Value Female Male
## Frequency 112 489
## Proportion 0.186 0.814
## --------------------------------------------------------------------------------
## Married
## n missing distinct
## 611 3 2
##
## Value No Yes
## Frequency 213 398
## Proportion 0.349 0.651
## --------------------------------------------------------------------------------
## Dependents
## n missing distinct
## 599 15 4
##
## Value 0 1 2 3+
## Frequency 345 102 101 51
## Proportion 0.576 0.170 0.169 0.085
## --------------------------------------------------------------------------------
## Education
## n missing distinct
## 614 0 2
##
## Value Graduate Not Graduate
## Frequency 480 134
## Proportion 0.782 0.218
## --------------------------------------------------------------------------------
## Self_Employed
## n missing distinct
## 582 32 2
##
## Value No Yes
## Frequency 500 82
## Proportion 0.859 0.141
## --------------------------------------------------------------------------------
## ApplicantIncome
## n missing distinct Info Mean Gmd .05 .10
## 614 0 505 1 5403 4183 1898 2216
## .25 .50 .75 .90 .95
## 2878 3812 5795 9460 14583
##
## lowest : 150 210 416 645 674, highest: 39147 39999 51763 63337 81000
## --------------------------------------------------------------------------------
## CoapplicantIncome
## n missing distinct Info Mean Gmd .05 .10
## 614 0 287 0.912 1621 2118 0 0
## .25 .50 .75 .90 .95
## 0 1188 2297 3782 4997
##
## lowest : 0.00 16.12 189.00 240.00 242.00
## highest: 10968.00 11300.00 20000.00 33837.00 41667.00
## --------------------------------------------------------------------------------
## LoanAmount
## n missing distinct Info Mean Gmd .05 .10
## 614 0 204 1 141.2 84.09 38.6 63.6
## .25 .50 .75 .90 .95
## 98.0 125.0 164.8 229.4 293.4
##
## lowest : 0 9 17 25 26, highest: 500 570 600 650 700
## --------------------------------------------------------------------------------
## Loan_Amount_Term
## n missing distinct Info Mean Gmd .05 .10
## 614 0 11 0.42 334.2 57.12 180 180
## .25 .50 .75 .90 .95
## 360 360 360 360 360
##
## lowest : 0 12 36 60 84, highest: 180 240 300 360 480
##
## Value 0 12 36 60 84 120 180 240 300 360 480
## Frequency 14 1 2 2 4 3 44 4 13 512 15
## Proportion 0.023 0.002 0.003 0.003 0.007 0.005 0.072 0.007 0.021 0.834 0.024
## --------------------------------------------------------------------------------
## Credit_History
## n missing distinct Info Sum Mean Gmd
## 614 0 2 0.525 475 0.7736 0.3508
##
## --------------------------------------------------------------------------------
## Property_Area
## n missing distinct
## 614 0 3
##
## Value Rural Semiurban Urban
## Frequency 179 233 202
## Proportion 0.292 0.379 0.329
## --------------------------------------------------------------------------------
## Loan_Status
## n missing distinct
## 614 0 2
##
## Value N Y
## Frequency 192 422
## Proportion 0.313 0.687
## --------------------------------------------------------------------------------5 Tugas 4
Lakukan pemeriksaan distribusi densitas menggunakan R dan Python pada setiap variabel kuantitatif dengan beberapa bagian sebagai berikut:
5.1 Univariat numerik
library(ks)
library(MASS)
fhat<-kde(x=datn_new[,3])
plot_1<-plot(fhat,cont=50,col.cont=4,cont.lwd=2,xlab="LoanAmount",drawpoints=TRUE)
fhat1<-kde(x=datn_new[,2])
plot_2<-plot(fhat,cont=50,col.cont=4,cont.lwd=2,xlab="Coapplicant Income",drawpoints=TRUE)
fhat2<-kde(x=datn_new[,2])
plot_3<-plot(fhat,cont=50,col.cont=4,cont.lwd=2,xlab="AppCoapplicant Income",drawpoints=TRUE)
fhat3<-kde(x=datn_new[,2])
plot_4<-plot(fhat,cont=50,col.cont=4,cont.lwd=2,xlab="Applicant Income",drawpoints=TRUE)
## Bivariat numerik
fhat4<-kde(x=datn_new[,3:4])
plot(fhat4,display="filled.contour",cont=seq(10,90,by=10),lwd=1)
plot(fhat4,display="persp",border=1)
5.2 Multivariat numerik
fhat5<-kde(x=datn_new[,1:3])
plot(fhat5)
6 Tugas 5
Lakukan proses pengujian Hipotesis menggunakan R dan Python pada setiap variabel kuantitatif dengan beberapa bagian sebagai berikut:
- Hitunglah margin of error dan estimasi interval untuk proporsi peminjam bejenis kelamin perempuan dalam pada tingkat kepercayaan 95%.
k = sum(dtakhir$Gender == "Female")
n = sum(count(dtakhir))
pbar = k/n
SE = sqrt (pbar*(1-pbar)/n); SE## [1] 0.01685443E = qnorm(.975)*SE; E## [1] 0.03303407pbar + c(-E, E)## [1] 0.1538818 0.21995006.1 Jika anda berencana menggunakan perkiraan proporsi 50% data konsumen berjenis kelamin perempuan, temukan ukuran sampel yang diperlukan untuk mencapai margin kesalahan 5% untuk data obeservasi pada tingkat kepercayaan 95%.
zstar = qnorm(.975)
p = 0.5
E = 0.05
zstar^2*p*(1-p)/E^2## [1] 384.14596.2 Lakukan pembuktian kebenaran assumsi dengan tingakat signifikansi 0.05, jika Bank mengklaim bahwa pinjaman rata-rata konsumen adalah:
set.seed(100)
Data1 <- sample_n(dtakhir,30)
Data1## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP002872 Yes 0 Graduate No
## 2 LP002314 Female No 0 Not Graduate No
## 3 LP002743 Female No 0 Graduate No
## 4 LP002928 Male Yes 0 Graduate No
## 5 LP001379 Male Yes 2 Graduate No
## 6 LP001014 Male Yes 3+ Graduate No
## 7 LP001713 Male Yes 1 Graduate Yes
## 8 LP002115 Male Yes 3+ Not Graduate No
## 9 LP002874 Male No 0 Graduate No
## 10 LP002738 Male No 2 Graduate No
## 11 LP002137 Male Yes 0 Graduate No
## 12 LP002692 Male Yes 3+ Graduate Yes
## 13 LP001579 Male No 0 Graduate No
## 14 LP001949 Male Yes 3+ Graduate
## 15 LP002588 Male Yes 0 Graduate No
## 16 LP002188 Male No 0 Graduate No
## 17 LP001255 Male No 0 Graduate No
## 18 LP002911 Male Yes 1 Graduate No
## 19 LP002086 Female Yes 0 Graduate No
## 20 LP002244 Male Yes 0 Graduate No
## 21 LP002272 Male Yes 2 Graduate No
## 22 LP001665 Male Yes 1 Graduate No
## 23 LP002370 Male No 0 Not Graduate No
## 24 LP002002 Female No 0 Graduate No
## 25 LP002706 Male Yes 1 Not Graduate No
## 26 LP001478 Male No 0 Graduate No
## 27 LP002670 Female Yes 2 Graduate No
## 28 LP002689 Male Yes 2 Not Graduate No
## 29 LP001349 Male No 0 Graduate No
## 30 LP002119 Male Yes 1 Not Graduate No
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term Credit_History
## 1 3087 2210 136 360 0
## 2 2213 0 66 360 1
## 3 2138 0 99 360 0
## 4 3000 3416 56 180 1
## 5 3800 3600 216 360 0
## 6 3036 2504 158 360 0
## 7 7787 0 240 360 1
## 8 2647 1587 173 360 1
## 9 3229 2739 110 360 1
## 10 3617 0 107 360 1
## 11 6333 4583 259 360 0
## 12 5677 1424 100 360 1
## 13 2237 0 63 480 0
## 14 4416 1250 110 360 1
## 15 4625 2857 111 12 0
## 16 5124 0 124 0 0
## 17 3750 0 113 480 1
## 18 2787 1917 146 360 0
## 19 4333 2451 110 360 1
## 20 2333 2417 136 360 1
## 21 3276 484 135 360 0
## 22 3125 2583 170 360 1
## 23 2717 0 60 180 1
## 24 2917 0 84 360 1
## 25 5285 1430 161 360 0
## 26 2718 0 70 360 1
## 27 2031 1632 113 480 1
## 28 2192 1742 45 360 1
## 29 4843 3806 151 360 1
## 30 4554 1229 158 360 1
## Property_Area Loan_Status APPCO_TotalIncome
## 1 Semiurban N 5297
## 2 Rural Y 2213
## 3 Semiurban N 2138
## 4 Semiurban Y 6416
## 5 Urban N 7400
## 6 Semiurban N 5540
## 7 Urban Y 7787
## 8 Rural N 4234
## 9 Urban Y 5968
## 10 Semiurban Y 3617
## 11 Semiurban Y 10916
## 12 Rural Y 7101
## 13 Semiurban N 2237
## 14 Urban Y 5666
## 15 Urban Y 7482
## 16 Rural N 5124
## 17 Urban N 3750
## 18 Rural N 4704
## 19 Urban N 6784
## 20 Urban Y 4750
## 21 Semiurban Y 3760
## 22 Semiurban N 5708
## 23 Urban Y 2717
## 24 Semiurban Y 2917
## 25 Semiurban Y 6715
## 26 Semiurban Y 2718
## 27 Semiurban Y 3663
## 28 Semiurban Y 3934
## 29 Semiurban Y 8649
## 30 Urban Y 57836.2.1 Lebih besar $ 150.
mu0 = 150
xbar = mean(Data1$LoanAmount)
s = sd(Data1$LoanAmount)
n = sum(count(Data1))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -2.520249alpha = .05
t.alpha = qt(1-alpha, df=n-1)
t.alpha## [1] 1.6991276.2.2 Lebih kecil $ 150
mu0 = 150
xbar = mean(Data1$LoanAmount)
s = sd(Data1$LoanAmount)
n = sum(count(Data1))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -2.520249alpha = .05
t.alpha = qt(1-alpha, df=n-1)
-t.alpha## [1] -1.6991276.2.3 Sama dengan $ 150.
mu0 = 150
xbar = mean(Data1$LoanAmount)
s = sd(Data1$LoanAmount)
n = sum(count(Data1))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -2.520249alpha = .05
t.alpha = qt(1-alpha, df=n-1)
t.alpha## [1] 1.699127-t.alpha## [1] -1.6991276.3 Lakukan pembuktian kebenaran assumsi dengan tingakat signifikansi 0.05, seperti diatas jika diketahui simpangan baku pinjaman adalah $ 85.
6.3.1 Lebih besar $150
mu0 = 150
xbar = mean(Data1$LoanAmount)
s = 85
n = sum(count(Data1))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -1.546511alpha = .05
t.alpha = qt(1-alpha, df=n-1)
t.alpha## [1] 1.6991276.3.2 Lebih kecil $150
mu0 = 150
xbar = mean(Data1$LoanAmount)
s = 85
n = sum(count(Data1))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -1.546511alpha = .05
t.alpha = qt(1-alpha, df=n-1)
-t.alpha## [1] -1.6991276.3.3 Lebih besar $150
mu0 = 150
xbar = mean(Data1$LoanAmount)
s = 85
n = sum(count(Data1))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -1.546511alpha = .05
t.alpha = qt(1-alpha, df=n-1)
t.alpha## [1] 1.699127-t.alpha## [1] -1.699127