KOMPUTASI STATISTIKA
UTS KOMPUTASI STATISTIKA-
Nikita Indriyani (20194920009)
October 26, 2021
Email          : nikitaindriyni.com
RPubs         : https://https://rpubs.com/nikitaindriyani/
1 Data Set
Kumpulan data akan anda gunakan dalam ujian tengah semester ini adalah data 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 dan Python, dengan beberapa langkah berikut:
2.1 Import Data
## 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
## 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 NA 360
## 37 1828 1330.00 100 NA
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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
## Loan_ID Gender Married Dependents Education Self_Employed
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## [614,] FALSE FALSE FALSE FALSE FALSE FALSE
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## [1,] FALSE FALSE TRUE FALSE
## [2,] FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE
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## [614,] FALSE FALSE FALSE## integer(0)2.4 Pemisahan Data Kategorik dan Numerik
## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --## v ggplot2 3.3.3 v purrr 0.3.4
## v tibble 3.1.1 v dplyr 1.0.5
## v tidyr 1.1.3 v stringr 1.4.0
## v readr 1.4.0 v forcats 0.5.1## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()## Loan_ID Gender Married Dependents Education Self_Employed Property_Area
## 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
## 18 LP001036 Female No 0 Graduate No Urban
## 19 LP001038 Male Yes 0 Not Graduate No Rural
## 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
## 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
## 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
## 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
## 44 LP001131 Male Yes 0 Graduate No Semiurban
## 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
## 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
## 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
## 81 LP001265 Female No 0 Graduate No Semiurban
## 83 LP001267 Female Yes 2 Graduate No Urban
## 85 LP001275 Male Yes 1 Graduate No Urban
## 86 LP001279 Male No 0 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
## 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
## 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
## 115 LP001398 Male No 0 Graduate Semiurban
## 116 LP001401 Male Yes 1 Graduate No Rural
## 117 LP001404 Female Yes 0 Graduate No Semiurban
## 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
## 127 LP001448 Yes 3+ Graduate No Rural
## 129 LP001451 Male Yes 1 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
## 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
## 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
## 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
## 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
## 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
## 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
## 221 LP001736 Male Yes 0 Graduate No Urban
## 222 LP001743 Male Yes 2 Graduate No Semiurban
## 223 LP001744 Male No 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
## 234 LP001776 Female No 0 Graduate No Semiurban
## 235 LP001778 Male Yes 1 Graduate No Semiurban
## 236 LP001784 Male Yes 1 Graduate No Rural
## 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
## 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
## 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
## 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
## 307 LP001993 Female No 0 Graduate No Rural
## 308 LP001994 Female No 0 Graduate No Urban
## 309 LP001996 Male No 0 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
## 315 LP002024 Yes 0 Graduate No Rural
## 316 LP002031 Male Yes 1 Not Graduate No Urban
## 317 LP002035 Male Yes 2 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
## 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
## 337 LP002110 Male Yes 1 Graduate Rural
## 338 LP002112 Male Yes 2 Graduate Yes Rural
## 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
## 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
## 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
## 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
## 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
## 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
## 394 LP002265 Male Yes 2 Not Graduate No Semiurban
## 395 LP002266 Male Yes 2 Graduate No Urban
## 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
## 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
## 423 LP002361 Male Yes 0 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
## 437 LP002398 Male No 0 Graduate No Semiurban
## 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
## 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
## 451 LP002446 Male Yes 2 Not Graduate No Rural
## 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
## 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
## 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
## 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
## 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
## 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
## 505 LP002619 Male Yes 0 Not Graduate No Semiurban
## 506 LP002622 Male Yes 2 Graduate No Rural
## 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
## 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
## 532 LP002720 Male Yes 3+ Graduate No Urban
## 533 LP002723 Male No 2 Graduate No Rural
## 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
## 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
## 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
## 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
## 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
## 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
## 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
## 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
## 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
## 18 N
## 19 N
## 21 N
## 22 Y
## 23 N
## 24 N
## 26 Y
## 27 Y
## 28 Y
## 29 N
## 30 Y
## 32 N
## 33 N
## 34 Y
## 35 N
## 38 Y
## 39 Y
## 40 Y
## 41 N
## 42 Y
## 44 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
## 65 N
## 66 N
## 67 N
## 68 Y
## 69 Y
## 70 N
## 71 Y
## 72 Y
## 73 Y
## 75 Y
## 76 N
## 77 N
## 78 N
## 79 N
## 81 Y
## 83 N
## 85 Y
## 86 Y
## 88 Y
## 89 Y
## 90 Y
## 91 Y
## 92 Y
## 93 Y
## 94 Y
## 95 Y
## 97 Y
## 98 Y
## 99 Y
## 100 Y
## 101 Y
## 102 Y
## 105 Y
## 106 Y
## 107 Y
## 108 N
## 109 N
## 110 Y
## 111 Y
## 112 Y
## 115 Y
## 116 Y
## 117 Y
## 119 N
## 120 Y
## 121 Y
## 122 Y
## 123 Y
## 124 Y
## 125 Y
## 127 Y
## 129 N
## 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
## 158 Y
## 159 Y
## 160 Y
## 161 Y
## 162 N
## 163 N
## 164 Y
## 165 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
## 183 Y
## 184 N
## 185 Y
## 186 Y
## 187 N
## 189 Y
## 190 Y
## 191 Y
## 192 N
## 193 N
## 194 Y
## 195 Y
## 196 N
## 197 Y
## 200 N
## 201 Y
## 202 Y
## 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
## 221 N
## 222 Y
## 223 Y
## 225 Y
## 226 N
## 227 N
## 228 Y
## 229 Y
## 230 Y
## 231 Y
## 232 Y
## 234 Y
## 235 Y
## 236 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
## 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
## 281 N
## 282 Y
## 283 Y
## 284 Y
## 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
## 307 Y
## 308 N
## 309 N
## 311 Y
## 312 Y
## 313 Y
## 315 N
## 316 Y
## 317 Y
## 320 N
## 321 Y
## 322 Y
## 325 Y
## 326 N
## 327 Y
## 328 Y
## 329 N
## 330 Y
## 331 Y
## 332 Y
## 333 Y
## 334 Y
## 335 Y
## 337 Y
## 338 Y
## 340 Y
## 341 N
## 342 N
## 343 Y
## 344 Y
## 345 Y
## 346 Y
## 347 N
## 348 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
## 365 Y
## 366 N
## 367 N
## 369 Y
## 370 N
## 371 Y
## 372 Y
## 373 Y
## 374 N
## 375 Y
## 376 Y
## 377 Y
## 379 N
## 380 Y
## 381 Y
## 382 Y
## 383 Y
## 384 Y
## 385 N
## 386 Y
## 387 Y
## 389 Y
## 390 Y
## 391 Y
## 392 Y
## 394 Y
## 395 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
## 413 N
## 414 Y
## 415 N
## 416 Y
## 417 N
## 418 N
## 419 Y
## 420 Y
## 421 Y
## 423 Y
## 425 Y
## 426 Y
## 427 N
## 428 Y
## 429 Y
## 430 Y
## 431 Y
## 432 N
## 433 Y
## 434 Y
## 435 Y
## 437 Y
## 439 N
## 440 Y
## 441 Y
## 442 Y
## 443 Y
## 444 Y
## 446 Y
## 447 Y
## 448 N
## 449 N
## 451 N
## 453 N
## 454 Y
## 455 Y
## 456 Y
## 457 Y
## 458 N
## 459 Y
## 460 N
## 462 Y
## 463 Y
## 464 Y
## 465 N
## 466 Y
## 467 N
## 468 Y
## 469 Y
## 470 N
## 471 Y
## 472 N
## 473 Y
## 475 Y
## 476 Y
## 477 Y
## 478 N
## 479 Y
## 481 Y
## 482 Y
## 483 Y
## 484 Y
## 485 Y
## 486 Y
## 487 N
## 488 N
## 489 Y
## 490 N
## 493 Y
## 494 Y
## 495 N
## 496 Y
## 497 Y
## 499 Y
## 500 N
## 501 Y
## 502 Y
## 503 Y
## 505 Y
## 506 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
## 526 Y
## 527 Y
## 528 Y
## 529 Y
## 530 Y
## 532 Y
## 533 N
## 535 Y
## 536 Y
## 537 Y
## 538 Y
## 539 N
## 540 Y
## 541 Y
## 542 N
## 543 Y
## 544 Y
## 546 Y
## 547 N
## 548 Y
## 549 N
## 550 Y
## 553 Y
## 554 N
## 555 N
## 556 Y
## 558 Y
## 559 Y
## 560 Y
## 561 Y
## 562 Y
## 563 Y
## 564 Y
## 565 N
## 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
## 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
## 602 Y
## 603 Y
## 604 Y
## 605 Y
## 607 Y
## 608 Y
## 609 Y
## 610 Y
## 611 Y
## 612 Y
## 613 Y
## 614 Nlibrary(tidyverse)
datakonsum_numerik <- select_if(datakonsum.remove, is.numeric)
datakonsum_numerik## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 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
## 18 3510 0.00 76 360
## 19 4887 0.00 133 360
## 21 7660 0.00 104 360
## 22 5955 5625.00 315 360
## 23 2600 1911.00 116 360
## 24 3365 1917.00 112 360
## 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
## 32 3167 0.00 74 360
## 33 4692 0.00 106 360
## 34 3500 1667.00 114 360
## 35 12500 3000.00 320 360
## 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
## 44 3941 2336.00 134 360
## 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
## 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
## 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
## 81 3846 0.00 111 360
## 83 1378 1881.00 167 360
## 85 3988 0.00 50 240
## 86 2366 2531.00 136 360
## 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
## 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
## 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
## 115 5050 0.00 118 360
## 116 14583 0.00 185 180
## 117 3167 2283.00 154 360
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## 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
## 127 23803 0.00 370 360
## 129 10513 3850.00 160 180
## 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
## 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
## 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
## 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
## 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
## 200 11000 0.00 83 360
## 201 2600 2500.00 90 360
## 202 4923 0.00 166 360
## 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
## 221 2221 0.00 60 360
## 222 4009 1717.00 116 360
## 223 2971 2791.00 144 360
## 225 6250 0.00 128 360
## 226 3250 0.00 170 360
## 227 4735 0.00 138 360
## 228 6250 1695.00 210 360
## 229 4758 0.00 158 480
## 230 6400 0.00 200 360
## 231 2491 2054.00 104 360
## 232 3716 0.00 42 180
## 234 8333 0.00 280 360
## 235 3155 1779.00 140 360
## 236 5500 1260.00 170 360
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## 240 3315 0.00 96 360
## 241 5819 5000.00 120 360
## 242 2510 1983.00 140 180
## 243 2965 5701.00 155 60
## 244 6250 1300.00 108 360
## 245 3406 4417.00 123 360
## 246 6050 4333.00 120 180
## 247 9703 0.00 112 360
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## 249 2882 1843.00 123 480
## 250 1809 1868.00 90 360
## 251 1668 3890.00 201 360
## 252 3427 0.00 138 360
## 253 2583 2167.00 104 360
## 254 2661 7101.00 279 180
## 255 16250 0.00 192 360
## 256 3083 0.00 255 360
## 257 6045 0.00 115 360
## 258 5250 0.00 94 360
## 259 14683 2100.00 304 360
## 262 2060 2209.00 134 360
## 263 3481 0.00 155 36
## 264 7200 0.00 120 360
## 265 5166 0.00 128 360
## 266 4095 3447.00 151 360
## 267 4708 1387.00 150 360
## 268 4333 1811.00 160 360
## 269 3418 0.00 135 360
## 270 2876 1560.00 90 360
## 271 3237 0.00 30 360
## 272 11146 0.00 136 360
## 273 2833 1857.00 126 360
## 274 2620 2223.00 150 360
## 275 3900 0.00 90 360
## 276 2750 1842.00 115 360
## 277 3993 3274.00 207 360
## 278 3103 1300.00 80 360
## 279 14583 0.00 436 360
## 281 4053 2426.00 158 360
## 282 3927 800.00 112 360
## 283 2301 985.80 78 180
## 284 1811 1666.00 54 360
## 286 3158 3053.00 89 360
## 287 2600 1717.00 99 300
## 288 3704 2000.00 120 360
## 289 4124 0.00 115 360
## 290 9508 0.00 187 360
## 291 3075 2416.00 139 360
## 292 4400 0.00 127 360
## 293 3153 1560.00 134 360
## 294 5417 0.00 143 480
## 295 2383 3334.00 172 360
## 296 4416 1250.00 110 360
## 297 6875 0.00 200 360
## 298 4666 0.00 135 360
## 299 5000 2541.00 151 480
## 300 2014 2925.00 113 360
## 301 1800 2934.00 93 360
## 302 2875 1750.00 105 360
## 303 5000 0.00 132 360
## 304 1625 1803.00 96 360
## 305 4000 2500.00 140 360
## 307 3762 1666.00 135 360
## 308 2400 1863.00 104 360
## 309 20233 0.00 480 360
## 311 2917 0.00 84 360
## 312 2927 2405.00 111 360
## 313 2507 0.00 56 360
## 315 2473 1843.00 159 360
## 316 3399 1640.00 111 180
## 317 3717 0.00 120 360
## 320 10000 0.00 155 360
## 321 2400 2167.00 115 360
## 322 4342 189.00 124 360
## 325 15000 0.00 300 360
## 326 8666 4983.00 376 360
## 327 4917 0.00 130 360
## 328 5818 2160.00 184 360
## 329 4333 2451.00 110 360
## 330 2500 0.00 67 360
## 331 4384 1793.00 117 360
## 332 2935 0.00 98 360
## 333 2833 0.00 71 360
## 334 63337 0.00 490 180
## 335 9833 1833.00 182 180
## 337 5250 688.00 160 360
## 338 2500 4600.00 176 360
## 340 4160 0.00 71 360
## 341 2647 1587.00 173 360
## 342 2378 0.00 46 360
## 343 4554 1229.00 158 360
## 344 3173 0.00 74 360
## 345 2583 2330.00 125 360
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## 347 3523 3230.00 152 360
## 348 3083 2168.00 126 360
## 350 2625 6250.00 187 360
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## 354 5500 0.00 105 360
## 355 2423 505.00 130 360
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## 357 8333 3167.00 165 360
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## 359 3000 1666.00 100 480
## 360 5167 3167.00 200 360
## 361 4723 0.00 81 360
## 362 5000 3667.00 236 360
## 363 4750 2333.00 130 360
## 365 6822 0.00 141 360
## 366 6216 0.00 133 360
## 367 2500 0.00 96 480
## 369 6325 0.00 175 360
## 370 19730 5266.00 570 360
## 371 15759 0.00 55 360
## 372 5185 0.00 155 360
## 373 9323 7873.00 380 300
## 374 3062 1987.00 111 180
## 375 2764 1459.00 110 360
## 376 4817 923.00 120 180
## 377 8750 4996.00 130 360
## 379 3069 0.00 71 480
## 380 5391 0.00 130 360
## 381 3333 2500.00 128 360
## 382 5941 4232.00 296 360
## 383 6000 0.00 156 360
## 384 7167 0.00 128 360
## 385 4566 0.00 100 360
## 386 3667 0.00 113 180
## 387 2346 1600.00 132 360
## 389 2333 2417.00 136 360
## 390 5488 0.00 125 360
## 391 9167 0.00 185 360
## 392 9504 0.00 275 360
## 394 1993 1625.00 113 180
## 395 3100 1400.00 113 360
## 397 3180 0.00 71 360
## 398 3033 1459.00 95 360
## 399 3902 1666.00 109 360
## 400 1500 1800.00 103 360
## 401 2889 0.00 45 180
## 402 2755 0.00 65 300
## 403 2500 20000.00 103 360
## 404 1963 0.00 53 360
## 405 7441 0.00 194 360
## 406 4547 0.00 115 360
## 407 2167 2400.00 115 360
## 408 2213 0.00 66 360
## 409 8300 0.00 152 300
## 410 81000 0.00 360 360
## 411 3867 0.00 62 360
## 413 6096 0.00 218 360
## 414 2253 2033.00 110 360
## 415 2149 3237.00 178 360
## 416 2995 0.00 60 360
## 417 2600 0.00 160 360
## 418 1600 20000.00 239 360
## 419 1025 2773.00 112 360
## 420 3246 1417.00 138 360
## 421 5829 0.00 138 360
## 423 1820 1719.00 100 360
## 425 14880 0.00 96 360
## 426 2666 4300.00 121 360
## 427 4606 0.00 81 360
## 428 5935 0.00 133 360
## 429 2920 16.12 87 360
## 430 2717 0.00 60 180
## 431 8624 0.00 150 360
## 432 6500 0.00 105 360
## 433 12876 0.00 405 360
## 434 2425 2340.00 143 360
## 435 3750 0.00 100 360
## 437 1926 1851.00 50 360
## 439 10416 0.00 187 360
## 440 7142 0.00 138 360
## 441 3660 5064.00 187 360
## 442 7901 1833.00 180 360
## 443 4707 1993.00 148 360
## 444 37719 0.00 152 360
## 446 3466 1210.00 130 360
## 447 4652 0.00 110 360
## 448 3539 1376.00 55 360
## 449 3340 1710.00 150 360
## 451 2309 1255.00 125 360
## 453 3948 1733.00 149 360
## 454 2483 2466.00 90 180
## 455 7085 0.00 84 360
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## 457 4301 0.00 118 360
## 458 3708 2569.00 173 360
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## 463 3015 2188.00 153 360
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## 501 645 3683.00 113 480
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## 505 3814 1483.00 124 300
## 506 3510 4416.00 243 360
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## 523 5677 1424.00 100 360
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## 529 2679 1302.00 94 360
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## 536 2550 2042.00 126 360
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## 540 6417 0.00 157 180
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## 542 2138 0.00 99 360
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## 548 2526 1783.00 145 360
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## 556 5468 1032.00 26 360
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## 560 4180 2306.00 182 360
## 561 3675 242.00 108 360
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## 609 3232 1950.00 108 360
## 610 2900 0.00 71 360
## 611 4106 0.00 40 180
## 612 8072 240.00 253 360
## 613 7583 0.00 187 360
## 614 4583 0.00 133 360
## Credit_History
## 2 1
## 3 1
## 4 1
## 5 1
## 6 1
## 7 1
## 8 0
## 9 1
## 10 1
## 11 1
## 12 1
## 13 1
## 14 1
## 15 1
## 16 1
## 18 0
## 19 1
## 21 0
## 22 1
## 23 0
## 24 0
## 26 1
## 27 1
## 28 1
## 29 1
## 30 1
## 32 1
## 33 1
## 34 1
## 35 1
## 38 1
## 39 1
## 40 1
## 41 1
## 42 1
## 44 1
## 47 1
## 48 1
## 49 0
## 50 1
## 51 1
## 52 1
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## 54 1
## 55 0
## 56 1
## 57 1
## 58 1
## 59 1
## 60 1
## 61 1
## 62 1
## 63 0
## 65 0
## 66 1
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## 70 0
## 71 1
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## 86 1
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## 90 1
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## 95 1
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## 98 1
## 99 1
## 100 1
## 101 1
## 102 1
## 105 1
## 106 1
## 107 1
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## 109 0
## 110 1
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## 119 1
## 120 1
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## 174 1
## 175 1
## 176 1
## 177 1
## 178 0
## 179 1
## 180 0
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## 183 1
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## 185 1
## 186 1
## 187 0
## 189 1
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## 192 1
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## 195 1
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## 200 1
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## 611 1
## 612 1
## 613 1
## 614 02.5 Penanganan Data Numerik
2.5.1 Standarisasi
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 -0.144410242 -0.013625556 -0.212256447 0.2720928
## 2 -0.391594390 -0.611019887 -0.949400341 0.2720928
## 3 -0.456708597 0.323102018 -0.307371788 0.2720928
## 4 0.076853142 -0.611019887 -0.057694017 0.2720928
## 5 -0.014181828 1.051225878 1.440372607 0.2720928
## 6 -0.495745891 -0.010456355 -0.604607229 0.2720928
## 7 -0.385973019 0.380939931 0.144426083 0.2720928
## 8 -0.234508317 -0.006494854 0.263320259 0.2720928
## 9 1.145069663 3.733954269 2.415304854 0.2720928
## 10 -0.360364554 -0.333714826 -0.901842670 0.2720928
## 11 -0.469668978 0.117896273 -0.438155382 0.2720928
## 12 -0.380195500 2.600172719 0.643781624 0.2720928
## 13 -0.570697496 0.514046360 -0.378708294 0.2720928
## 14 -0.657204140 -0.180800893 -1.531981806 -3.4280899
## 15 -0.087103494 -0.611019887 -0.247924700 0.2720928
## 16 -0.311958309 -0.611019887 -0.830506164 0.2720928
## 17 -0.096940892 -0.611019887 -0.152809358 0.2720928
## 18 0.336060776 -0.611019887 -0.497602470 0.2720928
## 19 0.069826429 1.617324353 2.011064654 0.2720928
## 20 -0.454054060 0.146022929 -0.354929458 0.2720928
## 21 -0.334599940 0.148399830 -0.402487129 0.2720928
## 22 0.632744213 -0.611019887 0.536776865 0.2720928
## 23 -0.422980374 0.281506259 -0.283592953 0.2720928
## 24 -0.200155498 -0.199023797 -0.426265964 0.2720928
## 25 -0.634874808 -0.611019887 -1.317972288 0.2720928
## 26 -0.274482507 0.214160744 -0.307371788 0.2720928
## 27 -0.365517477 -0.611019887 -0.854285000 0.2720928
## 28 -0.127389982 -0.611019887 -0.473823635 0.2720928
## 29 -0.313519801 0.049362308 -0.378708294 0.2720928
## 30 1.091822794 0.577430374 2.070511742 0.2720928
## 31 -0.287442888 -0.033036910 -0.022025764 0.2720928
## 32 -0.209524449 2.245222241 0.453550942 0.2720928
## 33 -0.274794805 0.049758458 -0.426265964 0.2720928
## 34 -0.297904883 -0.611019887 -0.782948494 0.2720928
## 35 -0.578973402 -0.130489832 -1.175299276 0.2720928
## 36 -0.244658014 0.314386716 -0.140919941 0.2720928
## 37 0.022044781 -0.611019887 -1.210967529 0.2720928
## 38 0.048902439 -0.611019887 -0.022025764 0.2720928
## 39 -0.447027348 0.751736412 -0.307371788 0.2720928
## 40 -0.235445212 0.290221561 -0.022025764 0.2720928
## 41 -0.558986308 0.040250856 -0.545160141 0.2720928
## 42 -0.378165560 -0.611019887 -0.307371788 0.2720928
## 43 -0.199530902 -0.611019887 -0.402487129 0.2720928
## 44 -0.139257319 -0.611019887 -0.140919941 0.2720928
## 45 0.935673616 -0.611019887 1.666271542 0.2720928
## 46 -0.437189949 -0.148712736 -0.580828394 0.2720928
## 47 -0.527131875 0.019254901 -0.592717811 0.2720928
## 48 -0.334443791 0.260510304 -0.129030523 0.2720928
## 49 0.401643430 0.280317809 0.405993271 0.2720928
## 50 -0.335849133 0.521573212 -0.022025764 0.2720928
## 51 -0.469668978 0.892765843 -0.307371788 0.2720928
## 52 -0.387066063 -0.611019887 -0.557049558 0.2720928
## 53 -0.452648718 0.755301763 0.227652006 -2.5030442
## 54 -0.209524449 -0.611019887 -0.354929458 0.2720928
## 55 0.034068267 1.209289763 1.333367848 0.2720928
## 56 -0.360364554 0.281902409 -0.236035282 -2.5030442
## 57 0.818561733 -0.611019887 1.975396401 0.2720928
## 58 0.248617237 -0.611019887 -0.247924700 -4.3531355
## 59 -0.188600459 -0.611019887 -0.117141105 0.2720928
## 60 -0.359115361 0.603576280 0.310877930 0.2720928
## 61 -0.567262214 0.131761526 -0.580828394 0.2720928
## 62 -0.313519801 -0.611019887 -0.771059076 -0.6529528
## 63 -0.037760354 0.091750367 0.489219195 0.2720928
## 64 -0.274482507 -0.611019887 -0.390597711 2.1221842
## 65 -0.274482507 1.270693027 0.358435601 0.2720928
## 66 -0.703892744 0.586145676 -0.426265964 0.2720928
## 67 -0.365517477 0.973580461 0.405993271 -0.6529528
## 68 -0.259492186 -0.611019887 -0.414376547 0.2720928
## 69 -0.644868355 0.134138426 0.251430842 0.2720928
## 70 -0.237319003 -0.611019887 -1.139631023 -1.5779985
## 71 -0.490592968 0.391635983 -0.117141105 0.2720928
## 72 -0.469668978 0.228025997 -0.497602470 0.2720928
## 73 0.477531931 -0.611019887 0.762675801 0.2720928
## 74 0.029227643 1.039737526 0.346546183 0.2720928
## 75 -0.398152655 0.537815365 -0.176588194 0.2720928
## 76 0.115890436 1.628812705 0.501108612 -2.5030442
## 77 -0.348965664 0.109973271 -0.771059076 0.2720928
## 78 -0.214677372 -0.611019887 -0.283592953 0.2720928
## 79 -0.294781900 -0.611019887 -1.436866465 -3.4280899
## 80 -0.472167365 0.300917613 -0.105251688 0.2720928
## 81 -0.551334998 -0.216058251 -1.139631023 0.2720928
## 82 -0.206089167 -0.611019887 -0.366818876 -2.5030442
## 83 -0.585375518 0.791747571 -0.176588194 0.2720928
## 84 -0.190474249 0.681617847 -0.152809358 -2.5030442
## 85 -0.103811456 0.896727344 0.061200159 0.2720928
## 86 -0.264176661 -0.312322722 0.168204918 0.2720928
## 87 -0.383474632 -0.202985298 -0.545160141 0.2720928
## 88 0.922713235 -0.164954889 0.941017065 0.2720928
## 89 0.284999995 -0.611019887 -0.307371788 0.2720928
## 90 -0.266675048 0.815120426 0.834012306 0.2720928
## 91 -0.536656975 -0.312322722 -0.616496647 2.1221842
## 92 -0.029952895 -0.611019887 -0.117141105 0.2720928
## 93 -0.402680981 0.313198266 -0.081472853 0.2720928
## 94 -0.071488576 -0.611019887 -0.331150623 0.2720928
## 95 1.417081530 -0.611019887 0.465440359 -2.5030442
## 96 -0.365517477 0.293390762 0.096868412 0.2720928
## 97 0.009396697 0.237533599 0.346546183 0.2720928
## 98 0.765158715 -0.611019887 1.345257265 0.2720928
## 99 0.024855466 0.445512395 0.405993271 0.2720928
## 100 -0.209524449 -0.611019887 -1.210967529 0.2720928
## 101 -0.526351130 2.946407895 -0.105251688 0.2720928
## 102 -0.398308804 -0.611019887 -0.771059076 0.2720928
## 103 -0.188600459 0.186826388 0.572445118 0.2720928
## 104 2.856776943 -0.611019887 2.664982625 0.2720928
## 105 0.781554379 0.914157948 0.168204918 -2.5030442
## 106 -0.545557478 0.153153631 -0.854285000 0.2720928
## 107 -0.435628458 -0.611019887 -0.901842670 0.2720928
## 108 -0.319921917 -0.611019887 -1.436866465 -3.4280899
## 109 -0.095691699 -0.611019887 -0.521381306 0.2720928
## 110 -0.235445212 2.459143288 1.713829213 0.2720928
## 111 -0.144410242 -0.611019887 -0.735390823 0.2720928
## 112 -0.342251250 0.775505418 -0.687833153 0.2720928
## 113 1.482039587 -0.611019887 1.143137165 0.2720928
## 114 -0.204215377 -0.044525263 -0.200367029 0.2720928
## 115 -0.072737770 0.214160744 0.465440359 0.2720928
## 116 -0.014181828 -0.611019887 0.263320259 0.2720928
## 117 0.225194860 -0.611019887 0.346546183 -2.5030442
## 118 -0.438751441 0.194749390 -0.283592953 0.2720928
## 119 0.975803955 -0.611019887 0.489219195 -2.5030442
## 120 -0.496214338 1.166109404 -0.545160141 0.2720928
## 121 1.461271747 -0.611019887 -0.901842670 0.2720928
## 122 -0.619884487 -0.046506013 -1.377419376 0.2720928
## 123 0.701449851 0.048966158 0.941017065 0.2720928
## 124 -0.101156920 -0.282215315 -0.247924700 0.2720928
## 125 0.120106464 -0.611019887 -0.331150623 0.2720928
## 126 -0.457645492 0.874542939 0.073089577 0.2720928
## 127 0.571221437 -0.611019887 1.166916001 0.2720928
## 128 -0.503865648 -0.611019887 -0.390597711 0.2720928
## 129 -0.351932499 -0.611019887 -1.139631023 0.2720928
## 130 5.385769017 -0.611019887 5.399548684 -2.5030442
## 131 0.629308931 -0.611019887 0.489219195 0.2720928
## 132 -0.394717373 0.214160744 -0.307371788 0.2720928
## 133 -0.144410242 1.617324353 1.297699595 0.2720928
## 134 -0.569136004 -0.198627647 -0.568938976 0.2720928
## 135 0.378689501 -0.611019887 1.535487948 0.2720928
## 136 -0.377697113 -0.103947776 -0.295482370 0.2720928
## 137 -0.209368300 -0.037790711 0.144426083 0.2720928
## 138 0.595736858 -0.611019887 -0.842395582 -2.5030442
## 139 -0.144410242 -0.611019887 -0.402487129 0.2720928
## 140 -0.479194078 0.709348353 -0.200367029 0.2720928
## 141 -0.510736212 -0.611019887 -0.985068594 2.1221842
## 142 0.389151496 -0.611019887 0.643781624 0.2720928
## 143 -0.575850419 0.089769617 -0.604607229 0.2720928
## 144 7.222707937 -0.611019887 6.588490449 -0.6529528
## 145 -0.310084519 -0.611019887 -0.771059076 -2.5030442
## 146 0.031257582 1.617324353 0.489219195 0.2720928
## 147 -0.181729895 -0.319453423 -0.699722570 0.2720928
## 148 -0.313988249 0.167018884 -0.354929458 0.2720928
## 149 -0.540716854 0.030347104 -0.533270723 0.2720928
## 150 0.001276940 3.865476098 4.151159831 0.2720928
## 151 -0.274482507 -0.611019887 -0.354929458 0.2720928
## 152 -0.495745891 -0.036206111 -0.521381306 2.1221842
## 153 0.139312813 2.261068245 0.405993271 0.2720928
## 154 -0.141755706 -0.611019887 -0.866174417 -2.5030442
## 155 4.424983130 -0.611019887 1.357146683 0.2720928
## 156 -0.294001154 -0.611019887 -0.450044800 0.2720928
## 157 5.252729918 1.270693027 -0.307371788 0.2720928
## 158 -0.519949013 -0.611019887 -0.949400341 -0.6529528
## 159 -0.754797376 1.486990974 0.263320259 0.2720928
## 160 0.596517604 -0.611019887 0.501108612 -2.5030442
## 161 -0.097253191 -0.611019887 -1.163409859 0.2720928
## 162 1.013748205 -0.611019887 0.215762589 0.2720928
## 163 0.082006065 -0.611019887 0.168204918 0.2720928
## 164 -0.257618396 -0.611019887 -0.830506164 0.2720928
## 165 -0.205620720 -0.611019887 -0.307371788 0.2720928
## 166 -0.372075742 0.412235788 0.287099095 0.2720928
## 167 0.441149172 0.874542939 0.489219195 0.2720928
## 168 0.857599028 -0.611019887 -0.747280241 0.2720928
## 169 -0.454054060 0.379355330 -0.664054317 0.2720928
## 170 -0.091319522 -0.611019887 0.239541424 0.2720928
## 171 -0.313519801 -0.181989343 -0.129030523 0.2720928
## 172 -0.248405594 -0.611019887 -0.259814117 0.2720928
## 173 -0.171736348 -0.611019887 -0.307371788 0.2720928
## 174 -0.353493990 -0.611019887 -0.782948494 0.2720928
## 175 -0.239348942 0.391635983 -1.080183935 0.2720928
## 176 -0.472948111 -0.611019887 -1.032626264 0.2720928
## 177 -0.326324034 -0.611019887 -0.224145864 0.2720928
## 178 0.701449851 -0.611019887 0.810233471 0.2720928
## 179 -0.324450243 -0.115832279 -0.212256447 0.2720928
## 180 0.355891722 -0.611019887 1.119358330 0.2720928
## 181 0.030476836 -0.611019887 -0.188477611 0.2720928
## 182 -0.364580582 0.585749526 -0.105251688 0.2720928
## 183 -0.258867589 -0.221604352 -0.545160141 0.2720928
## 184 -0.836619545 0.102050269 -0.129030523 0.2720928
## 185 -0.278073938 0.092146517 -0.176588194 0.2720928
## 186 -0.079296035 -0.611019887 -0.878063835 0.2720928
## 187 -0.513234599 -0.611019887 -1.020736847 0.2720928
## 188 -0.234039870 0.069169812 -0.354929458 0.2720928
## 189 -0.396122716 0.494635006 -0.022025764 0.2720928
## 190 0.115890436 -0.611019887 -0.212256447 0.2720928
## 191 -0.352557095 -0.611019887 0.287099095 0.2720928
## 192 -0.120675567 -0.611019887 -0.093362270 0.2720928
## 193 0.115890436 0.060454510 0.762675801 0.2720928
## 194 -0.117084136 -0.611019887 0.144426083 2.1221842
## 195 0.139312813 -0.611019887 0.643781624 0.2720928
## 196 -0.471074321 0.202672392 -0.497602470 0.2720928
## 197 -0.279791579 -0.611019887 -1.234746365 -2.5030442
## 198 0.441149172 -0.611019887 1.594935036 0.2720928
## 199 -0.367391267 0.093731118 -0.069583435 0.2720928
## 200 -0.001221447 -0.111870778 0.287099095 0.2720928
## 201 -0.264801258 -0.611019887 -0.402487129 0.2720928
## 202 -0.342407399 -0.611019887 -0.592717811 0.2720928
## 203 0.048590141 1.369730548 -0.307371788 0.2720928
## 204 -0.468107486 0.174545735 -0.069583435 -2.5030442
## 205 -0.397059611 1.647431759 0.108757830 -4.3531355
## 206 0.115890436 -0.096024774 -0.450044800 0.2720928
## 207 -0.328197824 1.138775048 -0.271703535 0.2720928
## 208 0.084660601 1.105498440 -0.307371788 -2.5030442
## 209 0.655073545 -0.611019887 -0.402487129 0.2720928
## 210 0.171791842 -0.611019887 -0.105251688 -2.5030442
## 211 -0.410019993 0.119084723 -0.271703535 2.1221842
## 212 -0.577568060 0.128988475 -0.664054317 0.2720928
## 213 -0.599585094 0.930003952 0.655671042 0.2720928
## 214 -0.324918691 -0.611019887 -0.093362270 0.2720928
## 215 -0.456708597 0.247437351 -0.497602470 0.2720928
## 216 -0.444528961 2.202041882 1.583045618 -2.5030442
## 217 1.677382208 -0.611019887 0.548666283 0.2720928
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## 529 -2.38441502.5.2 Normalisasi
# Normalisasi
normalize <- function(x){(x- min(x))/(max(x)-min(x))}
normalized <- as.data.frame(lapply(datakonsum_numerik,normalize))
normalized## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 0.054829932 0.0445665987 0.17221418 0.72972973
## 2 0.035250464 0.0000000000 0.08248915 0.72972973
## 3 0.030092764 0.0696870290 0.16063676 0.72972973
## 4 0.072356215 0.0000000000 0.19102750 0.72972973
## 5 0.065145331 0.1240062653 0.37337192 0.72972973
## 6 0.027000618 0.0448030263 0.12445731 0.72972973
## 7 0.035695733 0.0740018323 0.21562952 0.72972973
## 8 0.047693259 0.0450985607 0.23010130 0.72972973
## 9 0.156969697 0.3241422112 0.49204052 0.72972973
## 10 0.037724181 0.0206874132 0.08827786 0.72972973
## 11 0.029066172 0.0543783432 0.14471780 0.72972973
## 12 0.036153370 0.2395602447 0.27641100 0.72972973
## 13 0.021063698 0.0839317906 0.15195369 0.72972973
## 14 0.014211503 0.0320950439 0.01157742 0.18918919
## 15 0.059369202 0.0000000000 0.16787265 0.72972973
## 16 0.041558442 0.0000000000 0.09696093 0.72972973
## 17 0.058589981 0.0000000000 0.17945007 0.72972973
## 18 0.092888064 0.0000000000 0.13748191 0.72972973
## 19 0.071799629 0.1662381417 0.44283647 0.72972973
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## 21 0.039764997 0.0566539587 0.14905933 0.72972973
## 22 0.116388374 0.0000000000 0.26338640 0.72972973
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## 24 0.050414348 0.0307355853 0.14616498 0.72972973
## 25 0.015980210 0.0000000000 0.03762663 0.72972973
## 26 0.044526902 0.0615598310 0.16063676 0.72972973
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## 52 0.035609153 0.0000000000 0.13024602 0.72972973
## 53 0.030414348 0.1019298401 0.22575977 0.32432432
## 54 0.049672233 0.0000000000 0.15484805 0.72972973
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## 57 0.131106988 0.0000000000 0.43849493 0.72972973
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## 63 0.063277675 0.0524278157 0.25759768 0.72972973
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## 68 0.045714286 0.0000000000 0.14761216 0.72972973
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## 70 0.047470625 0.0000000000 0.05933430 0.45945946
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## 91 0.023760049 0.0222832993 0.12301013 1.00000000
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## 131 0.116116265 0.0000000000 0.25759768 0.72972973
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## 146 0.068744589 0.1662381417 0.25759768 0.72972973
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## 163 0.072764378 0.0000000000 0.21852388 0.72972973
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## 190 0.075448361 0.0000000000 0.17221418 0.72972973
## 191 0.038342610 0.0000000000 0.23299566 0.72972973
## 192 0.056709957 0.0000000000 0.18668596 0.72972973
## 193 0.075448361 0.0500930934 0.29088278 0.72972973
## 194 0.056994434 0.0000000000 0.21562952 1.00000000
## 195 0.077303649 0.0000000000 0.27641100 0.72972973
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## 198 0.101212121 0.0000000000 0.39218524 0.72972973
## 199 0.037167594 0.0525755829 0.18958032 0.72972973
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## 201 0.045293754 0.0000000000 0.14905933 0.72972973
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## 204 0.029189858 0.0586044862 0.18958032 0.32432432
## 205 0.034817563 0.1684842037 0.21128799 0.05405405
## 206 0.075448361 0.0384194816 0.14327062 0.72972973
## 207 0.040272109 0.1305375772 0.16497829 0.72972973
## 208 0.072974644 0.1280550876 0.16063676 0.32432432
## 209 0.118157081 0.0000000000 0.14905933 0.72972973
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## 211 0.033790971 0.0544670036 0.16497829 1.00000000
## 212 0.020519481 0.0552058398 0.11722142 0.72972973
## 213 0.018775510 0.1149629104 0.27785818 0.72972973
## 214 0.040531849 0.0000000000 0.18668596 0.72972973
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## 217 0.199134199 0.0000000000 0.26483357 0.72972973
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## 219 0.072912801 0.0000000000 0.15340087 0.72972973
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## 221 0.179752628 0.0620622396 0.42691751 0.72972973
## 222 0.023623995 0.0652835653 0.18089725 0.72972973
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## 225 0.062040816 0.0000000000 0.17221418 0.72972973
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## 227 0.056376005 0.0409906316 0.20405210 0.72972973
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## 229 0.040420532 0.0000000000 0.18234443 0.72972973
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## 231 0.038181818 0.0000000000 0.03039074 0.72972973
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## 233 0.033184910 0.0548807518 0.16931983 0.72972973
## 234 0.030550402 0.0656973136 0.20405210 0.72972973
## 235 0.046382189 0.0000000000 0.11722142 0.72972973
## 236 0.032158318 0.0544374501 0.15340087 0.72972973
## 237 0.047532468 0.0967579868 0.28654124 0.72972973
## 238 0.036524428 0.0384194816 0.10274964 0.72972973
## 239 0.178515770 0.0000000000 0.61794501 0.72972973
## 240 0.048274583 0.0716966634 0.21562952 0.72972973
## 241 0.046716141 0.0236427579 0.14905933 0.72972973
## 242 0.026604824 0.0291337881 0.09985528 0.32432432
## 243 0.020544218 0.0492360434 0.06512301 0.72972973
## 244 0.037204700 0.0902266749 0.11577424 0.72972973
## 245 0.030303030 0.0507432692 0.13024602 0.59459459
## 246 0.043957947 0.0591068948 0.16063676 0.72972973
## 247 0.049152752 0.0000000000 0.15340087 0.72972973
## 248 0.115745207 0.0000000000 0.25759768 0.72972973
## 249 0.036178108 0.0714011289 0.18813314 0.72972973
## 250 0.052566481 0.0000000000 0.17076700 0.72972973
## 251 0.037142857 0.0461033780 0.18089725 0.72972973
## 252 0.065145331 0.0000000000 0.19392185 1.00000000
## 253 0.027619048 0.0985311937 0.23589001 0.72972973
## 254 0.052764378 0.0369418093 0.14616498 0.72972973
## 255 0.083178726 0.0000000000 0.27641100 0.72972973
## 256 0.055856524 0.0000000000 0.18234443 0.72972973
## 257 0.059987631 0.0750953099 0.20549928 1.00000000
## 258 0.023055040 0.0864438337 0.15050651 0.72972973
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## 260 0.033704391 0.0517185330 0.13892909 0.72972973
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## 263 0.047619048 0.0738836185 0.18958032 0.72972973
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## 265 0.027829314 0.0550580725 0.13748191 0.72972973
## 266 0.248398268 0.0000000000 0.68162084 0.72972973
## 267 0.034223871 0.0000000000 0.10853835 0.72972973
## 268 0.034347557 0.0710760410 0.14761216 0.72972973
## 269 0.029152752 0.0000000000 0.06801737 0.72972973
## 270 0.028732220 0.0544670036 0.21707670 0.72972973
## 271 0.040185529 0.0484676538 0.14761216 0.32432432
## 272 0.044118738 0.0000000000 0.16063676 0.72972973
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## 274 0.027829314 0.0640423205 0.15340087 0.72972973
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## 276 0.183673469 0.0000000000 0.42112880 0.72972973
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## 278 0.058961039 0.0000000000 0.17510854 0.72972973
## 279 0.070105133 0.0638354464 0.25325615 0.72972973
## 280 0.051737786 0.0724354996 0.14616498 0.72972973
## 281 0.029066172 0.0000000000 0.08393632 0.72972973
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## 283 0.034446506 0.0000000000 0.12879884 0.72972973
## 284 0.033184910 0.0000000000 0.08972504 0.72972973
## 285 0.781533704 0.0000000000 0.69609262 0.32432432
## 286 0.119764997 0.0541714691 0.25036179 0.32432432
## 287 0.063079777 0.0203327718 0.21852388 0.72972973
## 288 0.029066172 0.1359458581 0.24167873 0.72972973
## 289 0.049598021 0.0000000000 0.08972504 0.72972973
## 290 0.030884354 0.0469013210 0.23733719 0.72972973
## 291 0.027557205 0.0000000000 0.05354559 0.72972973
## 292 0.054471243 0.0363211869 0.21562952 0.72972973
## 293 0.037390229 0.0000000000 0.09406657 0.72972973
## 294 0.030092764 0.0688595325 0.16787265 0.72972973
## 295 0.029053803 0.0726423737 0.21852388 0.72972973
## 296 0.041719233 0.0954576351 0.20694645 0.72972973
## 297 0.036277056 0.0640718740 0.16931983 0.72972973
## 298 0.030612245 0.1847090463 0.25759768 0.72972973
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## 300 0.106369821 0.1231492154 0.43270622 0.72972973
## 301 0.031119357 0.0615598310 0.12445731 0.72972973
## 302 0.066171923 0.0000000000 0.13892909 0.72972973
## 303 0.028113791 0.0149244909 0.17510854 0.72972973
## 304 0.045306122 0.0000000000 0.15484805 0.32432432
## 305 0.101212121 0.0935957679 0.22575977 0.72972973
## 306 0.046072975 0.0000000000 0.08393632 0.72972973
## 307 0.035250464 0.0492360434 0.13169320 1.00000000
## 308 0.062053185 0.0935957679 0.27641100 0.72972973
## 309 0.056561534 0.0000000000 0.10419682 0.72972973
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## 312 0.082523191 0.0000000000 0.19102750 0.72972973
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## 314 0.029066172 0.0000000000 0.12590449 1.00000000
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## 317 0.193061224 0.0000000000 0.06657019 0.72972973
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## 319 0.113457019 0.2326742915 0.53690304 0.59459459
## 320 0.036017316 0.0587227000 0.14761216 0.32432432
## 321 0.032331478 0.0431184798 0.14616498 0.72972973
## 322 0.057724181 0.0272778320 0.16063676 0.32432432
## 323 0.106369821 0.1476490233 0.17510854 0.72972973
## 324 0.036103896 0.0000000000 0.08972504 1.00000000
## 325 0.064823748 0.0000000000 0.17510854 0.72972973
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## 332 0.027161410 0.0472855159 0.17800289 0.72972973
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## 337 0.022795300 0.0480243520 0.15050651 0.32432432
## 338 0.036487322 0.0413748264 0.15050651 0.72972973
## 339 0.037476809 0.0000000000 0.08972504 0.72972973
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## 343 0.033877551 0.0000000000 0.05209841 0.32432432
## 344 0.032220161 0.0000000000 0.08104197 0.59459459
## 345 0.029066172 0.5910689482 0.13603473 0.72972973
## 346 0.022424242 0.0000000000 0.06367583 0.72972973
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## 350 0.025516388 0.0000000000 0.08248915 0.72972973
## 351 0.100803958 0.0000000000 0.20694645 0.59459459
## 352 1.000000000 0.0000000000 0.50795948 0.72972973
## 353 0.045974026 0.0000000000 0.07670043 0.72972973
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## 357 0.035188621 0.0000000000 0.07380608 0.72972973
## 358 0.030303030 0.0000000000 0.21852388 0.72972973
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## 370 0.104811379 0.0000000000 0.20405210 0.72972973
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## 374 0.044526902 0.0000000000 0.13169320 0.72972973
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## 381 0.464675325 0.0000000000 0.20694645 0.72972973
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## 383 0.055683364 0.0000000000 0.14616498 0.72972973
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## 388 0.028855906 0.0728788013 0.11722142 0.32432432
## 389 0.085776129 0.0000000000 0.10853835 0.72972973
## 390 0.045875077 0.0000000000 0.12590449 0.72972973
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## 399 0.072356215 0.0000000000 0.18958032 0.72972973
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## 401 0.204601113 0.0000000000 0.14616498 0.72972973
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## 403 0.051737786 0.0724354996 0.14616498 0.72972973
## 404 0.040816327 0.0614416172 0.22141823 0.72972973
## 405 0.030958565 0.0443301711 0.15050651 0.32432432
## 406 0.056165739 0.0000000000 0.13169320 0.72972973
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## 408 0.202535560 0.0299671957 0.20405210 0.72972973
## 409 0.081014224 0.0517185330 0.31982634 0.59459459
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## 429 0.006122449 0.1088453468 0.15050651 1.00000000
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## 528 0.091935683 0.0000000000 0.25759768 0.72972973
## 529 0.054829932 0.0000000000 0.17945007 0.72972973
## Credit_History
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## 529 02.5.3 Robust Scalar
# Robust Scalar
robust <- function(x){(x-median(x))/quantile(x,probs = .75)-quantile(x,probs = .25)}
robust.data <- as.data.frame(lapply(datakonsum_numerik,robust))
robust.data## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1 -2899.868 0.189068100 -100.00000 -360.0000
## 2 -2900.140 -0.486559140 -100.37126 -360.0000
## 3 -2900.212 0.569892473 -100.04790 -360.0000
## 4 -2899.624 -0.486559140 -99.92216 -360.0000
## 5 -2899.725 1.393369176 -99.16766 -360.0000
## 6 -2900.255 0.192652330 -100.19760 -360.0000
## 7 -2900.134 0.635304659 -99.82036 -360.0000
## 8 -2899.967 0.197132616 -99.76048 -360.0000
## 9 -2898.448 4.427419355 -98.67665 -360.0000
## 10 -2900.106 -0.172939068 -100.34731 -360.0000
## 11 -2900.226 0.337813620 -100.11377 -360.0000
## 12 -2900.128 3.145161290 -99.56886 -360.0000
## 13 -2900.338 0.785842294 -100.08383 -360.0000
## 14 -2900.433 0.000000000 -100.66467 -360.6667
## 15 -2899.805 -0.486559140 -100.01796 -360.0000
## 16 -2900.053 -0.486559140 -100.31138 -360.0000
## 17 -2899.816 -0.486559140 -99.97006 -360.0000
## 18 -2899.339 -0.486559140 -100.14371 -360.0000
## 19 -2899.632 2.033602151 -98.88024 -360.0000
## 20 -2900.209 0.369623656 -100.07186 -360.0000
## 21 -2900.078 0.372311828 -100.09581 -360.0000
## 22 -2899.012 -0.486559140 -99.62275 -360.0000
## 23 -2900.175 0.522849462 -100.03593 -360.0000
## 24 -2899.929 -0.020609319 -100.10778 -360.0000
## 25 -2900.408 -0.486559140 -100.55689 -360.0000
## 26 -2900.011 0.446684588 -100.04790 -360.0000
## 27 -2900.112 -0.486559140 -100.32335 -360.0000
## 28 -2899.849 -0.486559140 -100.13174 -360.0000
## 29 -2900.054 0.260304659 -100.08383 -360.0000
## 30 -2898.507 0.857526882 -98.85030 -360.0000
## 31 -2900.026 0.167114695 -99.90419 -360.0000
## 32 -2899.940 2.743727599 -99.66467 -360.0000
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## 38 -2899.655 -0.486559140 -99.90419 -360.0000
## 39 -2900.201 1.054659498 -100.04790 -360.0000
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## 48 -2900.077 0.499103943 -99.95808 -360.0000
## 49 -2899.267 0.521505376 -99.68862 -360.0000
## 50 -2900.079 0.794354839 -99.90419 -360.0000
## 51 -2900.226 1.214157706 -100.04790 -360.0000
## 52 -2900.135 -0.486559140 -100.17365 -360.0000
## 53 -2900.208 1.058691756 -99.77844 -360.5000
## 54 -2899.940 -0.486559140 -100.07186 -360.0000
## 55 -2899.672 1.572132616 -99.22156 -360.0000
## 56 -2900.106 0.523297491 -100.01198 -360.5000
## 57 -2898.808 -0.486559140 -98.89820 -360.0000
## 58 -2899.435 -0.486559140 -100.01796 -360.8333
## 59 -2899.917 -0.486559140 -99.95210 -360.0000
## 60 -2900.105 0.887096774 -99.73653 -360.0000
## 61 -2900.334 0.353494624 -100.18563 -360.0000
## 62 -2900.054 -0.486559140 -100.28144 -360.1667
## 63 -2899.751 0.308243728 -99.64671 -360.0000
## 64 -2900.011 -0.486559140 -100.08982 -359.6667
## 65 -2900.011 1.641577061 -99.71257 -360.0000
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## 67 -2900.112 1.305555556 -99.68862 -360.1667
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## 69 -2900.419 0.356182796 -99.76647 -360.0000
## 70 -2899.970 -0.486559140 -100.46707 -360.3333
## 71 -2900.249 0.647401434 -99.95210 -360.0000
## 72 -2900.226 0.462365591 -100.14371 -360.0000
## 73 -2899.183 -0.486559140 -99.50898 -360.0000
## 74 -2899.677 1.380376344 -99.71856 -360.0000
## 75 -2900.148 0.812724014 -99.98204 -360.0000
## 76 -2899.581 2.046594982 -99.64072 -360.5000
## 77 -2900.093 0.328853047 -100.28144 -360.0000
## 78 -2899.945 -0.486559140 -100.03593 -360.0000
## 79 -2900.034 -0.486559140 -100.61677 -360.6667
## 80 -2900.229 0.544802867 -99.94611 -360.0000
## 81 -2900.316 -0.039874552 -100.46707 -360.0000
## 82 -2899.936 -0.486559140 -100.07784 -360.5000
## 83 -2900.354 1.099910394 -99.98204 -360.0000
## 84 -2899.919 0.975358423 -99.97006 -360.5000
## 85 -2899.823 1.218637993 -99.86228 -360.0000
## 86 -2900.000 -0.148745520 -99.80838 -360.0000
## 87 -2900.131 -0.025089606 -100.16766 -360.0000
## 88 -2898.693 0.017921147 -99.41916 -360.0000
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## 421 -2900.237 -0.486559140 -100.31737 -360.0000
## 422 -2900.021 -0.486559140 -100.10778 -360.0000
## 423 -2897.688 -0.486559140 -99.41916 -360.0000
## 424 -2900.038 0.479838710 -100.05389 -360.0000
## 425 -2900.084 -0.077508961 -100.13772 -360.7667
## 426 -2900.209 0.275089606 -100.12575 -360.0000
## 427 -2900.158 -0.486559140 -100.19760 -360.0000
## 428 -2899.576 1.491935484 -99.51497 -360.0000
## 429 -2900.545 1.163530466 -100.08982 -359.6667
## 430 -2900.113 -0.486559140 -100.16766 -360.0000
## 431 -2899.820 2.033154122 -99.52096 -360.0000
## 432 -2900.000 0.177867384 -100.02395 -360.1667
## 433 -2900.053 1.491935484 -99.31138 -360.0000
## 434 -2900.040 -0.486559140 -100.19162 -360.0000
## 435 -2900.230 0.863351254 -99.64072 -360.0000
## 436 -2898.376 -0.486559140 -100.52695 -360.0000
## 437 -2900.037 0.090053763 -100.16766 -360.0000
## 438 -2899.613 0.411290323 -99.26946 -360.0000
## 439 -2900.092 0.425179211 -99.88024 -360.0000
## 440 -2900.290 2.500000000 -100.34731 -360.5000
## 441 -2899.656 1.155913978 -98.90419 -360.0000
## 442 -2900.060 1.049283154 -99.86826 -360.0000
## 443 -2900.307 0.244623656 -100.08982 -359.6667
## 444 -2900.128 0.319892473 -100.02994 -360.0000
## 445 -2899.851 0.371415771 -99.65868 -360.0000
## 446 -2900.072 -0.486559140 -100.19760 -360.0000
## 447 -2900.279 0.293906810 -100.49701 -360.0000
## 448 -2900.226 -0.486559140 -100.43713 -360.0000
## 449 -2899.680 0.151433692 -100.16766 -360.0000
## 450 -2899.289 2.724014337 -97.89222 -360.0000
## 451 -2897.647 -0.486559140 -98.37126 -360.0000
## 452 -2900.007 -0.486559140 -100.10778 -360.0000
## 453 -2899.747 0.154121864 -99.80240 -360.0000
## 454 -2900.196 0.096774194 -100.20359 -360.0000
## 455 -2899.490 -0.486559140 -99.98802 -360.0000
## 456 -2899.920 -0.486559140 -100.16766 -360.0000
## 457 -2900.039 -0.486559140 -100.10778 -360.0000
## 458 -2897.532 -0.486559140 -100.01796 -360.0000
## 459 -2900.218 0.428315412 -100.01198 -360.0000
## 460 -2899.602 1.263440860 -98.82635 -360.0000
## 461 -2900.034 -0.486559140 -100.12575 -360.0000
## 462 -2900.155 -0.246415771 -100.37126 -360.0000
## 463 -2899.553 -0.486559140 -99.82635 -360.5000
## 464 -2899.864 0.788082437 -99.92814 -360.5000
## 465 -2900.289 -0.486559140 -100.17365 -360.0000
## 466 -2900.028 -0.486559140 -100.19760 -360.0000
## 467 -2900.271 0.644265233 -100.00000 -360.0000
## 468 -2900.180 0.387096774 -99.83832 -360.0000
## 469 -2900.079 -0.486559140 -100.28743 -360.9000
## 470 -2900.222 0.312275986 -99.89820 -360.0000
## 471 -2899.796 -0.486559140 -100.14970 -360.0000
## 472 -2900.177 0.416666667 -100.10778 -360.0000
## 473 -2900.083 0.969534050 -99.82036 -360.0000
## 474 -2900.234 0.558691756 -99.68263 -360.0000
## 475 -2900.038 1.424731183 -99.97605 -360.5000
## 476 -2899.716 -0.024193548 -100.61078 -360.0000
## 477 -2898.913 -0.486559140 -99.20958 -360.0000
## 478 -2899.988 0.709229391 -99.79641 -360.0000
## 479 -2899.937 0.546594982 -99.67665 -360.0000
## 480 -2900.024 -0.378136201 -100.11976 -360.0000
## 481 -2897.306 -0.486559140 -97.17365 -360.0000
## 482 -2899.638 0.433691756 -99.50299 -360.0000
## 483 -2899.659 -0.486559140 -99.97605 -360.0000
## 484 -2899.143 -0.486559140 -99.22156 -360.0000
## 485 -2900.083 -0.486559140 -100.34731 -360.0000
## 486 -2900.072 0.633512545 -100.02994 -360.0000
## 487 -2900.247 -0.486559140 -100.71257 -360.0000
## 488 -2900.112 0.438172043 -100.14371 -360.0000
## 489 -2900.069 0.297491039 -99.65269 -360.0000
## 490 -2899.776 0.163530466 -99.77844 -360.0000
## 491 -2897.790 -0.486559140 -99.11976 -360.0000
## 492 -2899.603 0.241487455 -99.64671 -359.6667
## 493 -2899.555 -0.486559140 -99.86826 -360.0000
## 494 -2900.113 -0.280017921 -100.11976 -360.7667
## 495 -2900.125 0.503584229 -99.95210 -360.0000
## 496 -2900.101 0.740591398 -100.10778 -360.0000
## 497 -2900.350 0.513440860 -100.12575 -360.0000
## 498 -2900.109 0.820340502 -99.80240 -360.0000
## 499 -2899.532 -0.486559140 -99.53892 -360.0000
## 500 -2900.340 14.673387097 -100.22754 -360.0000
## 501 -2900.112 -0.486559140 -100.55090 -360.0000
## 502 -2900.177 0.372311828 -99.89222 -360.0000
## 503 -2899.920 0.857526882 -99.73653 -360.7667
## 504 -2900.261 0.195340502 -100.14371 -360.0000
## 505 -2900.284 -0.486559140 -100.34731 -360.0000
## 506 -2899.839 -0.486559140 -100.20359 -360.0000
## 507 -2900.187 -0.486559140 -100.13174 -360.0000
## 508 -2900.140 1.043906810 -100.43114 -360.5000
## 509 -2899.624 -0.486559140 -99.53892 -360.3333
## 510 -2899.047 -0.486559140 -99.01796 -360.0000
## 511 -2899.993 0.991935484 -99.91617 -360.5000
## 512 -2897.884 -0.486559140 -99.20958 -360.0000
## 513 -2899.997 -0.486559140 -100.10778 -360.0000
## 514 -2899.559 -0.038530466 -99.64671 -360.0000
## 515 -2900.143 -0.486559140 -100.23952 -360.0000
## 516 -2898.943 -0.486559140 -99.68862 -360.0000
## 517 -2899.662 -0.486559140 -99.61677 -360.0000
## 518 -2900.159 0.764336918 -99.83832 -360.0000
## 519 -2899.675 -0.486559140 -100.00000 -360.0000
## 520 -2900.024 1.440412186 -99.73653 -360.0000
## 521 -2898.593 -0.486559140 -97.79641 -360.0000
## 522 -2900.072 0.633512545 -99.73054 -360.0000
## 523 -2899.971 0.145609319 -99.82635 -360.0000
## 524 -2900.100 0.387096774 -100.11976 -360.0000
## 525 -2900.158 -0.486559140 -100.34132 -360.0000
## 526 -2899.950 -0.486559140 -100.52695 -360.5000
## 527 -2899.268 -0.379032258 -99.25150 -360.0000
## 528 -2899.352 -0.486559140 -99.64671 -360.0000
## 529 -2899.868 -0.486559140 -99.97006 -360.0000
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## 529 -22.6 Penanganan Data Pencilan
# Periksa berapa banyak outlier
library(leaps)
outliers <- function(x) {
Q1 <- quantile(x, probs = .25)
Q3 <- quantile(x, probs = .75)
iqr <- IQR(x)
upper_limit <- Q3 + (1.5*iqr)
lower_limit <- Q1 - (1.5*iqr)
x < lower_limit | x > upper_limit
}
dfap<- subset(datakonsum_numerik , outliers(datakonsum_numerik$ApplicantIncome))
dfco <-subset(datakonsum_numerik,outliers(datakonsum_numerik$coapplicantIncome))
dfla<- subset(datakonsum_numerik,outliers(datakonsum_numerik$LoanAmount))
datakonsum_outlier<- rbind(dfap,dfco,dfla)%>% distinct()
nrow(datakonsum_outlier)## [1] 60## Joining, by = c("ApplicantIncome", "CoapplicantIncome", "LoanAmount", "Loan_Amount_Term", "Credit_History")## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP001003 Male Yes 1 Graduate No
## 2 LP001005 Male Yes 0 Graduate Yes
## 3 LP001006 Male Yes 0 Not Graduate No
## 4 LP001008 Male No 0 Graduate No
## 5 LP001011 Male Yes 2 Graduate Yes
## 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 LP001028 Male Yes 2 Graduate No
## 12 LP001029 Male No 0 Graduate No
## 13 LP001030 Male Yes 2 Graduate No
## 14 LP001032 Male No 0 Graduate No
## 15 LP001036 Female No 0 Graduate No
## 16 LP001038 Male Yes 0 Not Graduate No
## 17 LP001043 Male Yes 0 Not Graduate No
## 18 LP001047 Male Yes 0 Not Graduate No
## 19 LP001050 Yes 2 Not Graduate No
## 20 LP001066 Male Yes 0 Graduate Yes
## 21 LP001068 Male Yes 0 Graduate No
## 22 LP001073 Male Yes 2 Not Graduate No
## 23 LP001086 Male No 0 Not Graduate No
## 24 LP001087 Female No 2 Graduate
## 25 LP001095 Male No 0 Graduate No
## 26 LP001097 Male No 1 Graduate Yes
## 27 LP001098 Male Yes 0 Graduate No
## 28 LP001112 Female Yes 0 Graduate No
## 29 LP001114 Male No 0 Graduate No
## 30 LP001116 Male No 0 Not Graduate No
## 31 LP001119 Male No 0 Graduate No
## 32 LP001120 Male No 0 Graduate No
## 33 LP001131 Male Yes 0 Graduate No
## 34 LP001138 Male Yes 1 Graduate No
## 35 LP001144 Male Yes 0 Graduate No
## 36 LP001146 Female Yes 0 Graduate No
## 37 LP001151 Female No 0 Graduate No
## 38 LP001155 Female Yes 0 Not Graduate No
## 39 LP001157 Female No 0 Graduate No
## 40 LP001164 Female No 0 Graduate No
## 41 LP001179 Male Yes 2 Graduate No
## 42 LP001194 Male Yes 2 Graduate No
## 43 LP001195 Male Yes 0 Graduate No
## 44 LP001197 Male Yes 0 Graduate No
## 45 LP001198 Male Yes 1 Graduate No
## 46 LP001199 Male Yes 2 Not Graduate No
## 47 LP001205 Male Yes 0 Graduate No
## 48 LP001206 Male Yes 3+ Graduate No
## 49 LP001207 Male Yes 0 Not Graduate Yes
## 50 LP001222 Female No 0 Graduate No
## 51 LP001225 Male Yes 0 Graduate No
## 52 LP001228 Male No 0 Not Graduate No
## 53 LP001238 Male Yes 3+ Not Graduate Yes
## 54 LP001241 Female No 0 Graduate No
## 55 LP001243 Male Yes 0 Graduate No
## 56 LP001245 Male Yes 2 Not Graduate Yes
## 57 LP001248 Male No 0 Graduate No
## 58 LP001253 Male Yes 3+ Graduate Yes
## 59 LP001255 Male No 0 Graduate No
## 60 LP001256 Male No 0 Graduate No
## 61 LP001259 Male Yes 1 Graduate Yes
## 62 LP001263 Male Yes 3+ Graduate No
## 63 LP001265 Female No 0 Graduate No
## 64 LP001267 Female Yes 2 Graduate No
## 65 LP001275 Male Yes 1 Graduate No
## 66 LP001279 Male No 0 Graduate No
## 67 LP001282 Male Yes 0 Graduate No
## 68 LP001289 Male No 0 Graduate No
## 69 LP001310 Male Yes 0 Graduate No
## 70 LP001316 Male Yes 0 Graduate No
## 71 LP001318 Male Yes 2 Graduate No
## 72 LP001319 Male Yes 2 Not Graduate No
## 73 LP001322 Male No 0 Graduate No
## 74 LP001325 Male No 0 Not Graduate No
## 75 LP001327 Female Yes 0 Graduate No
## 76 LP001333 Male Yes 0 Graduate No
## 77 LP001334 Male Yes 0 Not Graduate No
## 78 LP001343 Male Yes 0 Graduate No
## 79 LP001345 Male Yes 2 Not Graduate No
## 80 LP001349 Male No 0 Graduate No
## 81 LP001357 Male Graduate No
## 82 LP001367 Male Yes 1 Graduate No
## 83 LP001370 Male No 0 Not Graduate
## 84 LP001379 Male Yes 2 Graduate No
## 85 LP001384 Male Yes 3+ Not Graduate No
## 86 LP001385 Male No 0 Graduate No
## 87 LP001387 Female Yes 0 Graduate
## 88 LP001398 Male No 0 Graduate
## 89 LP001404 Female Yes 0 Graduate No
## 90 LP001421 Male Yes 0 Graduate No
## 91 LP001426 Male Yes Graduate No
## 92 LP001430 Female No 0 Graduate No
## 93 LP001431 Female No 0 Graduate No
## 94 LP001432 Male Yes 2 Graduate No
## 95 LP001439 Male Yes 0 Not Graduate No
## 96 LP001473 Male No 0 Graduate No
## 97 LP001478 Male No 0 Graduate No
## 98 LP001482 Male Yes 0 Graduate Yes
## 99 LP001487 Male No 0 Graduate No
## 100 LP001489 Female Yes 0 Graduate No
## 101 LP001491 Male Yes 2 Graduate Yes
## 102 LP001493 Male Yes 2 Not Graduate No
## 103 LP001497 Male Yes 2 Graduate No
## 104 LP001498 Male No 0 Graduate No
## 105 LP001504 Male No 0 Graduate Yes
## 106 LP001507 Male Yes 0 Graduate No
## 107 LP001514 Female Yes 0 Graduate No
## 108 LP001518 Male Yes 1 Graduate No
## 109 LP001519 Female No 0 Graduate No
## 110 LP001520 Male Yes 0 Graduate No
## 111 LP001528 Male No 0 Graduate No
## 112 LP001529 Male Yes 0 Graduate Yes
## 113 LP001531 Male No 0 Graduate No
## 114 LP001532 Male Yes 2 Not Graduate No
## 115 LP001535 Male No 0 Graduate No
## 116 LP001543 Male Yes 1 Graduate No
## 117 LP001546 Male No 0 Graduate
## 118 LP001552 Male Yes 0 Graduate No
## 119 LP001560 Male Yes 0 Not Graduate No
## 120 LP001565 Male Yes 1 Graduate No
## 121 LP001570 Male Yes 2 Graduate No
## 122 LP001572 Male Yes 0 Graduate No
## 123 LP001577 Female Yes 0 Graduate No
## 124 LP001578 Male Yes 0 Graduate No
## 125 LP001579 Male No 0 Graduate No
## 126 LP001580 Male Yes 2 Graduate No
## 127 LP001581 Male Yes 0 Not Graduate
## 128 LP001586 Male Yes 3+ Not Graduate No
## 129 LP001594 Male Yes 0 Graduate No
## 130 LP001603 Male Yes 0 Not Graduate Yes
## 131 LP001606 Male Yes 0 Graduate No
## 132 LP001608 Male Yes 2 Graduate No
## 133 LP001616 Male Yes 1 Graduate No
## 134 LP001630 Male No 0 Not Graduate No
## 135 LP001633 Male Yes 1 Graduate No
## 136 LP001636 Male Yes 0 Graduate No
## 137 LP001639 Female Yes 0 Graduate No
## 138 LP001641 Male Yes 1 Graduate Yes
## 139 LP001644 Yes 0 Graduate Yes
## 140 LP001647 Male Yes 0 Graduate No
## 141 LP001653 Male No 0 Not Graduate No
## 142 LP001657 Male Yes 0 Not Graduate No
## 143 LP001658 Male No 0 Graduate No
## 144 LP001664 Male No 0 Graduate No
## 145 LP001665 Male Yes 1 Graduate No
## 146 LP001666 Male No 0 Graduate No
## 147 LP001674 Male Yes 1 Not Graduate No
## 148 LP001677 Male No 2 Graduate No
## 149 LP001688 Male Yes 1 Not Graduate No
## 150 LP001691 Male Yes 2 Not Graduate No
## 151 LP001692 Female No 0 Not Graduate No
## 152 LP001693 Female No 0 Graduate No
## 153 LP001698 Male No 0 Not Graduate No
## 154 LP001699 Male No 0 Graduate No
## 155 LP001702 Male No 0 Graduate No
## 156 LP001708 Female No 0 Graduate No
## 157 LP001711 Male Yes 3+ Graduate No
## 158 LP001713 Male Yes 1 Graduate Yes
## 159 LP001715 Male Yes 3+ Not Graduate Yes
## 160 LP001716 Male Yes 0 Graduate No
## 161 LP001720 Male Yes 3+ Not Graduate No
## 162 LP001722 Male Yes 0 Graduate No
## 163 LP001726 Male Yes 0 Graduate No
## 164 LP001732 Male Yes 2 Graduate
## 165 LP001736 Male Yes 0 Graduate No
## 166 LP001743 Male Yes 2 Graduate No
## 167 LP001744 Male No 0 Graduate No
## 168 LP001750 Male Yes 0 Graduate No
## 169 LP001751 Male Yes 0 Graduate No
## 170 LP001754 Male Yes Not Graduate Yes
## 171 LP001758 Male Yes 2 Graduate No
## 172 LP001760 Male Graduate No
## 173 LP001761 Male No 0 Graduate Yes
## 174 LP001765 Male Yes 1 Graduate No
## 175 LP001768 Male Yes 0 Graduate
## 176 LP001778 Male Yes 1 Graduate No
## 177 LP001784 Male Yes 1 Graduate No
## 178 LP001790 Female No 1 Graduate No
## 179 LP001792 Male Yes 1 Graduate No
## 180 LP001798 Male Yes 2 Graduate No
## 181 LP001800 Male Yes 1 Not Graduate No
## 182 LP001806 Male No 0 Graduate No
## 183 LP001807 Male Yes 2 Graduate Yes
## 184 LP001811 Male Yes 0 Not Graduate No
## 185 LP001813 Male No 0 Graduate Yes
## 186 LP001814 Male Yes 2 Graduate No
## 187 LP001819 Male Yes 1 Not Graduate No
## 188 LP001824 Male Yes 1 Graduate No
## 189 LP001825 Male Yes 0 Graduate No
## 190 LP001835 Male Yes 0 Not Graduate No
## 191 LP001836 Female No 2 Graduate No
## 192 LP001841 Male No 0 Not Graduate Yes
## 193 LP001846 Female No 3+ Graduate No
## 194 LP001849 Male No 0 Not Graduate No
## 195 LP001854 Male Yes 3+ Graduate No
## 196 LP001868 Male No 0 Graduate No
## 197 LP001870 Female No 1 Graduate No
## 198 LP001871 Female No 0 Graduate No
## 199 LP001872 Male No 0 Graduate Yes
## 200 LP001875 Male No 0 Graduate No
## 201 LP001877 Male Yes 2 Graduate No
## 202 LP001882 Male Yes 3+ Graduate No
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## 204 LP001884 Female No 1 Graduate No
## 205 LP001888 Female No 0 Graduate No
## 206 LP001892 Male No 0 Graduate No
## 207 LP001894 Male Yes 0 Graduate No
## 208 LP001896 Male Yes 2 Graduate No
## 209 LP001900 Male Yes 1 Graduate No
## 210 LP001903 Male Yes 0 Graduate No
## 211 LP001904 Male Yes 0 Graduate No
## 212 LP001910 Male No 1 Not Graduate Yes
## 213 LP001914 Male Yes 0 Graduate No
## 214 LP001915 Male Yes 2 Graduate No
## 215 LP001917 Female No 0 Graduate No
## 216 LP001924 Male No 0 Graduate No
## 217 LP001925 Female No 0 Graduate Yes
## 218 LP001926 Male Yes 0 Graduate No
## 219 LP001931 Female No 0 Graduate No
## 220 LP001935 Male No 0 Graduate No
## 221 LP001936 Male Yes 0 Graduate No
## 222 LP001938 Male Yes 2 Graduate No
## 223 LP001940 Male Yes 2 Graduate No
## 224 LP001945 Female No Graduate No
## 225 LP001947 Male Yes 0 Graduate No
## 226 LP001949 Male Yes 3+ Graduate
## 227 LP001953 Male Yes 1 Graduate No
## 228 LP001954 Female Yes 1 Graduate No
## 229 LP001955 Female No 0 Graduate No
## 230 LP001963 Male Yes 1 Graduate No
## 231 LP001964 Male Yes 0 Not Graduate No
## 232 LP001972 Male Yes Not Graduate No
## 233 LP001974 Female No 0 Graduate No
## 234 LP001977 Male Yes 1 Graduate No
## 235 LP001978 Male No 0 Graduate No
## 236 LP001993 Female No 0 Graduate No
## 237 LP001994 Female No 0 Graduate No
## 238 LP002002 Female No 0 Graduate No
## 239 LP002004 Male No 0 Not Graduate No
## 240 LP002006 Female No 0 Graduate No
## 241 LP002024 Yes 0 Graduate No
## 242 LP002031 Male Yes 1 Not Graduate No
## 243 LP002035 Male Yes 2 Graduate No
## 244 LP002050 Male Yes 1 Graduate Yes
## 245 LP002051 Male Yes 0 Graduate No
## 246 LP002053 Male Yes 3+ Graduate No
## 247 LP002068 Male No 0 Graduate No
## 248 LP002082 Male Yes 0 Graduate Yes
## 249 LP002086 Female Yes 0 Graduate No
## 250 LP002087 Female No 0 Graduate No
## 251 LP002097 Male No 1 Graduate No
## 252 LP002098 Male No 0 Graduate No
## 253 LP002100 Male No Graduate No
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## 255 LP002110 Male Yes 1 Graduate
## 256 LP002112 Male Yes 2 Graduate Yes
## 257 LP002114 Female No 0 Graduate No
## 258 LP002115 Male Yes 3+ Not Graduate No
## 259 LP002116 Female No 0 Graduate No
## 260 LP002119 Male Yes 1 Not Graduate No
## 261 LP002126 Male Yes 3+ Not Graduate No
## 262 LP002128 Male Yes 2 Graduate
## 263 LP002129 Male Yes 0 Graduate No
## 264 LP002130 Male Yes Not Graduate No
## 265 LP002131 Male Yes 2 Not Graduate No
## 266 LP002138 Male Yes 0 Graduate No
## 267 LP002139 Male Yes 0 Graduate No
## 268 LP002141 Male Yes 3+ Graduate No
## 269 LP002142 Female Yes 0 Graduate Yes
## 270 LP002143 Female Yes 0 Graduate No
## 271 LP002144 Female No Graduate No
## 272 LP002149 Male Yes 2 Graduate No
## 273 LP002151 Male Yes 1 Graduate No
## 274 LP002158 Male Yes 0 Not Graduate No
## 275 LP002160 Male Yes 3+ Graduate No
## 276 LP002161 Female No 1 Graduate No
## 277 LP002170 Male Yes 2 Graduate No
## 278 LP002175 Male Yes 0 Graduate No
## 279 LP002180 Male No 0 Graduate Yes
## 280 LP002181 Male No 0 Not Graduate No
## 281 LP002187 Male No 0 Graduate No
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## 283 LP002197 Male Yes 2 Graduate No
## 284 LP002205 Male No 1 Graduate No
## 285 LP002209 Female No 0 Graduate
## 286 LP002211 Male Yes 0 Graduate No
## 287 LP002219 Male Yes 3+ Graduate No
## 288 LP002224 Male No 0 Graduate No
## 289 LP002225 Male Yes 2 Graduate No
## 290 LP002226 Male Yes 0 Graduate
## 291 LP002231 Female No 0 Graduate No
## 292 LP002234 Male No 0 Graduate Yes
## 293 LP002236 Male Yes 2 Graduate No
## 294 LP002237 Male No 1 Graduate
## 295 LP002239 Male No 0 Not Graduate No
## 296 LP002244 Male Yes 0 Graduate No
## 297 LP002250 Male Yes 0 Graduate No
## 298 LP002255 Male No 3+ Graduate No
## 299 LP002265 Male Yes 2 Not Graduate No
## 300 LP002266 Male Yes 2 Graduate No
## 301 LP002277 Female No 0 Graduate No
## 302 LP002281 Male Yes 0 Graduate No
## 303 LP002284 Male No 0 Not Graduate No
## 304 LP002287 Female No 0 Graduate No
## 305 LP002288 Male Yes 2 Not Graduate No
## 306 LP002296 Male No 0 Not Graduate No
## 307 LP002297 Male No 0 Graduate No
## 308 LP002300 Female No 0 Not Graduate No
## 309 LP002301 Female No 0 Graduate Yes
## 310 LP002305 Female No 0 Graduate No
## 311 LP002308 Male Yes 0 Not Graduate No
## 312 LP002314 Female No 0 Not Graduate No
## 313 LP002315 Male Yes 1 Graduate No
## 314 LP002318 Female No 1 Not Graduate Yes
## 315 LP002328 Male Yes 0 Not Graduate No
## 316 LP002332 Male Yes 0 Not Graduate No
## 317 LP002335 Female Yes 0 Not Graduate No
## 318 LP002337 Female No 0 Graduate No
## 319 LP002341 Female No 1 Graduate No
## 320 LP002342 Male Yes 2 Graduate Yes
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## 322 LP002347 Male Yes 0 Graduate No
## 323 LP002348 Male Yes 0 Graduate No
## 324 LP002361 Male Yes 0 Graduate No
## 325 LP002366 Male Yes 0 Graduate No
## 326 LP002367 Female No 1 Not Graduate No
## 327 LP002368 Male Yes 2 Graduate No
## 328 LP002369 Male Yes 0 Graduate No
## 329 LP002370 Male No 0 Not Graduate No
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## 331 LP002379 Male No 0 Graduate No
## 332 LP002387 Male Yes 0 Graduate No
## 333 LP002390 Male No 0 Graduate No
## 334 LP002398 Male No 0 Graduate No
## 335 LP002407 Female Yes 0 Not Graduate Yes
## 336 LP002408 Male No 0 Graduate No
## 337 LP002409 Male Yes 0 Graduate No
## 338 LP002418 Male No 3+ Not Graduate No
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## 340 LP002434 Male Yes 2 Not Graduate No
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## 343 LP002446 Male Yes 2 Not Graduate No
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## 345 LP002449 Male Yes 0 Graduate No
## 346 LP002453 Male No 0 Graduate Yes
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## 348 LP002459 Male Yes 0 Graduate No
## 349 LP002467 Male Yes 0 Graduate No
## 350 LP002472 Male No 2 Graduate No
## 351 LP002473 Male Yes 0 Graduate No
## 352 LP002484 Male Yes 3+ Graduate No
## 353 LP002487 Male Yes 0 Graduate No
## 354 LP002489 Female No 1 Not Graduate
## 355 LP002493 Male No 0 Graduate No
## 356 LP002494 Male No 0 Graduate No
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## 361 LP002517 Male Yes 1 Not Graduate No
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## 365 LP002530 Yes 2 Graduate No
## 366 LP002534 Female No 0 Not Graduate No
## 367 LP002536 Male Yes 3+ Not Graduate No
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## 370 LP002544 Male Yes 1 Not Graduate No
## 371 LP002545 Male No 2 Graduate No
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## 373 LP002556 Male No 0 Graduate No
## 374 LP002571 Male No 0 Not Graduate No
## 375 LP002585 Male Yes 0 Graduate No
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## 377 LP002587 Male Yes 0 Not Graduate No
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## 379 LP002602 Male No 0 Graduate No
## 380 LP002603 Female No 0 Graduate No
## 381 LP002606 Female No 0 Graduate No
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## 383 LP002619 Male Yes 0 Not Graduate No
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## 385 LP002625 No 0 Graduate No
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## 387 LP002637 Male No 0 Not Graduate No
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## 390 LP002648 Male Yes 0 Graduate No
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## 393 LP002682 Male Yes Not Graduate No
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## 395 LP002684 Female No 0 Not Graduate No
## 396 LP002689 Male Yes 2 Not Graduate No
## 397 LP002690 Male No 0 Graduate No
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## 401 LP002714 Male No 1 Not Graduate No
## 402 LP002716 Male No 0 Not Graduate No
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## 406 LP002738 Male No 2 Graduate No
## 407 LP002739 Male Yes 0 Not Graduate No
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## 465 LP002978 Female No 0 Graduate No
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## 469 LP002990 Female No 0 Graduate Yes
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## 382 4865 5624.00 208 360
## 383 3814 1483.00 124 300
## 384 3510 4416.00 243 360
## 385 3583 0.00 96 360
## 386 2479 3013.00 188 360
## 387 3598 1287.00 100 360
## 388 6065 2004.00 250 360
## 389 3283 2035.00 148 360
## 390 2130 6666.00 70 180
## 391 3466 3428.00 150 360
## 392 2031 1632.00 113 480
## 393 3074 1800.00 123 360
## 394 4683 1915.00 185 360
## 395 3400 0.00 95 360
## 396 2192 1742.00 45 360
## 397 2500 0.00 55 360
## 398 5677 1424.00 100 360
## 399 3775 0.00 110 360
## 400 5285 1430.00 161 360
## 401 2679 1302.00 94 360
## 402 6783 0.00 130 360
## 403 4281 0.00 100 360
## 404 3588 0.00 110 360
## 405 2550 2042.00 126 360
## 406 3617 0.00 107 360
## 407 2917 536.00 66 360
## 408 6417 0.00 157 180
## 409 4608 2845.00 140 180
## 410 2138 0.00 99 360
## 411 3652 0.00 95 360
## 412 2239 2524.00 128 360
## 413 2768 1950.00 155 360
## 414 3358 0.00 80 36
## 415 2526 1783.00 145 360
## 416 5000 0.00 103 360
## 417 2785 2016.00 110 360
## 418 3333 3250.00 158 360
## 419 2454 2333.00 181 360
## 420 3593 4266.00 132 180
## 421 5468 1032.00 26 360
## 422 10139 0.00 260 360
## 423 3887 2669.00 162 360
## 424 4180 2306.00 182 360
## 425 3675 242.00 108 360
## 426 5923 2054.00 211 360
## 427 5800 0.00 132 360
## 428 8799 0.00 258 360
## 429 3333 0.00 70 360
## 430 3400 2500.00 123 360
## 431 2378 0.00 9 360
## 432 3166 2064.00 104 360
## 433 3417 1750.00 186 360
## 434 5116 1451.00 165 360
## 435 6125 1625.00 187 480
## 436 6406 0.00 150 360
## 437 3159 461.00 108 84
## 438 3087 2210.00 136 360
## 439 3229 2739.00 110 360
## 440 1782 2232.00 107 360
## 441 3182 2917.00 161 360
## 442 6540 0.00 205 360
## 443 1836 33837.00 90 360
## 444 3166 0.00 36 360
## 445 2787 1917.00 146 360
## 446 4283 3000.00 172 84
## 447 2297 1522.00 104 360
## 448 2165 0.00 70 360
## 449 4750 0.00 94 360
## 450 2726 0.00 106 360
## 451 3000 3416.00 56 180
## 452 6000 0.00 205 240
## 453 3859 3300.00 142 180
## 454 3833 0.00 110 360
## 455 6383 1000.00 187 360
## 456 2987 0.00 88 360
## 457 9963 0.00 180 360
## 458 5780 0.00 192 360
## 459 2894 2792.00 155 360
## 460 5703 0.00 128 360
## 461 3676 4301.00 172 360
## 462 3400 2500.00 173 360
## 463 3987 1411.00 157 360
## 464 3232 1950.00 108 360
## 465 2900 0.00 71 360
## 466 4106 0.00 40 180
## 467 8072 240.00 253 360
## 468 7583 0.00 187 360
## 469 4583 0.00 133 360
## Credit_History Property_Area Loan_Status
## 1 1 Rural N
## 2 1 Urban Y
## 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 Urban Y
## 12 1 Rural N
## 13 1 Urban Y
## 14 1 Urban Y
## 15 0 Urban N
## 16 1 Rural N
## 17 0 Urban N
## 18 0 Semiurban N
## 19 0 Rural N
## 20 1 Semiurban Y
## 21 1 Semiurban Y
## 22 1 Urban Y
## 23 1 Urban N
## 24 1 Semiurban Y
## 25 1 Urban N
## 26 1 Rural N
## 27 1 Semiurban Y
## 28 1 Semiurban Y
## 29 1 Urban Y
## 30 1 Semiurban Y
## 31 1 Urban N
## 32 1 Urban Y
## 33 1 Semiurban Y
## 34 1 Urban Y
## 35 1 Urban Y
## 36 0 Urban N
## 37 1 Semiurban Y
## 38 1 Semiurban Y
## 39 1 Semiurban Y
## 40 1 Semiurban N
## 41 1 Urban N
## 42 1 Semiurban Y
## 43 1 Semiurban Y
## 44 1 Rural N
## 45 1 Urban Y
## 46 1 Urban Y
## 47 1 Urban Y
## 48 1 Urban Y
## 49 0 Rural N
## 50 0 Semiurban N
## 51 1 Semiurban N
## 52 0 Urban N
## 53 1 Urban Y
## 54 0 Semiurban N
## 55 1 Urban Y
## 56 1 Semiurban Y
## 57 1 Semiurban Y
## 58 1 Semiurban Y
## 59 1 Urban N
## 60 1 Urban N
## 61 1 Urban N
## 62 0 Semiurban N
## 63 1 Semiurban Y
## 64 1 Urban N
## 65 1 Urban Y
## 66 1 Semiurban Y
## 67 1 Semiurban Y
## 68 1 Urban Y
## 69 1 Semiurban Y
## 70 1 Semiurban Y
## 71 1 Semiurban Y
## 72 1 Urban Y
## 73 1 Semiurban Y
## 74 1 Semiurban Y
## 75 1 Semiurban Y
## 76 1 Semiurban Y
## 77 1 Semiurban Y
## 78 1 Semiurban Y
## 79 1 Urban Y
## 80 1 Semiurban Y
## 81 1 Urban Y
## 82 1 Urban Y
## 83 1 Rural N
## 84 0 Urban N
## 85 1 Semiurban Y
## 86 1 Urban Y
## 87 1 Semiurban Y
## 88 1 Semiurban Y
## 89 1 Semiurban Y
## 90 1 Rural N
## 91 1 Rural Y
## 92 1 Semiurban Y
## 93 0 Semiurban Y
## 94 1 Semiurban Y
## 95 1 Rural Y
## 96 1 Urban Y
## 97 1 Semiurban Y
## 98 1 Semiurban Y
## 99 1 Semiurban Y
## 100 1 Rural N
## 101 1 Urban Y
## 102 1 Rural N
## 103 1 Rural N
## 104 1 Urban Y
## 105 1 Semiurban Y
## 106 1 Semiurban Y
## 107 1 Semiurban Y
## 108 1 Urban Y
## 109 1 Rural N
## 110 1 Semiurban Y
## 111 0 Rural N
## 112 1 Rural Y
## 113 1 Urban N
## 114 1 Rural N
## 115 1 Urban Y
## 116 1 Urban Y
## 117 1 Rural Y
## 118 1 Semiurban Y
## 119 1 Semiurban Y
## 120 0 Semiurban N
## 121 1 Rural Y
## 122 1 Urban Y
## 123 1 Rural N
## 124 1 Rural Y
## 125 0 Semiurban N
## 126 1 Semiurban Y
## 127 1 Rural Y
## 128 1 Rural N
## 129 1 Semiurban Y
## 130 1 Semiurban N
## 131 1 Rural Y
## 132 1 Rural Y
## 133 1 Semiurban Y
## 134 0 Urban N
## 135 0 Urban N
## 136 1 Semiurban Y
## 137 1 Semiurban Y
## 138 0 Rural N
## 139 1 Rural Y
## 140 1 Rural Y
## 141 1 Rural Y
## 142 1 Urban N
## 143 1 Semiurban Y
## 144 1 Rural Y
## 145 1 Semiurban N
## 146 1 Rural Y
## 147 1 Semiurban Y
## 148 0 Semiurban Y
## 149 1 Urban Y
## 150 1 Semiurban Y
## 151 1 Semiurban Y
## 152 1 Urban Y
## 153 1 Rural Y
## 154 1 Urban Y
## 155 1 Semiurban N
## 156 1 Semiurban N
## 157 0 Semiurban N
## 158 1 Urban Y
## 159 1 Rural Y
## 160 1 Urban Y
## 161 1 Semiurban Y
## 162 1 Rural N
## 163 1 Semiurban Y
## 164 0 Semiurban N
## 165 0 Urban N
## 166 1 Semiurban Y
## 167 1 Semiurban Y
## 168 1 Semiurban Y
## 169 1 Rural N
## 170 1 Urban N
## 171 1 Semiurban Y
## 172 1 Semiurban Y
## 173 1 Rural Y
## 174 1 Semiurban Y
## 175 1 Rural Y
## 176 1 Semiurban Y
## 177 1 Rural Y
## 178 1 Rural Y
## 179 1 Semiurban Y
## 180 1 Rural Y
## 181 1 Urban N
## 182 1 Urban Y
## 183 1 Rural Y
## 184 1 Semiurban Y
## 185 1 Urban N
## 186 1 Urban Y
## 187 1 Urban Y
## 188 1 Semiurban Y
## 189 1 Urban Y
## 190 0 Semiurban N
## 191 1 Urban N
## 192 1 Rural Y
## 193 1 Rural Y
## 194 0 Rural N
## 195 1 Urban N
## 196 1 Semiurban Y
## 197 1 Semiurban N
## 198 1 Rural Y
## 199 1 Semiurban Y
## 200 1 Rural Y
## 201 1 Semiurban Y
## 202 0 Urban Y
## 203 1 Rural N
## 204 1 Urban Y
## 205 1 Urban Y
## 206 1 Rural Y
## 207 1 Semiurban Y
## 208 1 Semiurban Y
## 209 1 Semiurban Y
## 210 1 Semiurban Y
## 211 1 Urban Y
## 212 0 Urban N
## 213 1 Semiurban Y
## 214 1 Urban Y
## 215 1 Urban Y
## 216 1 Rural Y
## 217 1 Semiurban N
## 218 1 Rural Y
## 219 1 Semiurban Y
## 220 1 Rural Y
## 221 1 Rural Y
## 222 0 Semiurban N
## 223 1 Urban Y
## 224 0 Urban N
## 225 1 Semiurban Y
## 226 1 Urban Y
## 227 1 Semiurban Y
## 228 1 Urban Y
## 229 1 Rural N
## 230 1 Urban N
## 231 0 Urban N
## 232 1 Semiurban Y
## 233 1 Rural Y
## 234 1 Urban Y
## 235 1 Rural Y
## 236 1 Rural Y
## 237 0 Urban N
## 238 1 Semiurban Y
## 239 1 Semiurban Y
## 240 1 Rural Y
## 241 1 Rural N
## 242 1 Urban Y
## 243 1 Semiurban Y
## 244 1 Rural N
## 245 1 Semiurban Y
## 246 1 Semiurban Y
## 247 0 Rural Y
## 248 1 Semiurban Y
## 249 1 Urban N
## 250 1 Urban Y
## 251 1 Urban Y
## 252 1 Semiurban Y
## 253 1 Urban Y
## 254 1 Urban Y
## 255 1 Rural Y
## 256 1 Rural Y
## 257 1 Semiurban Y
## 258 1 Rural N
## 259 1 Rural N
## 260 1 Urban Y
## 261 1 Semiurban Y
## 262 1 Rural Y
## 263 1 Semiurban Y
## 264 0 Rural N
## 265 1 Urban Y
## 266 1 Rural Y
## 267 1 Semiurban Y
## 268 1 Rural Y
## 269 0 Rural N
## 270 1 Semiurban Y
## 271 1 Urban Y
## 272 1 Rural Y
## 273 1 Urban N
## 274 0 Urban N
## 275 1 Semiurban Y
## 276 1 Semiurban N
## 277 1 Semiurban Y
## 278 1 Urban Y
## 279 1 Rural Y
## 280 1 Rural N
## 281 1 Semiurban N
## 282 1 Semiurban Y
## 283 1 Semiurban Y
## 284 0 Urban N
## 285 1 Urban Y
## 286 1 Urban Y
## 287 1 Rural Y
## 288 1 Urban N
## 289 1 Urban Y
## 290 1 Semiurban Y
## 291 1 Urban Y
## 292 1 Urban Y
## 293 1 Urban N
## 294 1 Urban Y
## 295 1 Semiurban Y
## 296 1 Urban Y
## 297 1 Rural Y
## 298 1 Rural Y
## 299 1 Semiurban Y
## 300 1 Urban Y
## 301 0 Urban N
## 302 1 Urban Y
## 303 1 Rural Y
## 304 0 Semiurban N
## 305 0 Urban N
## 306 1 Rural N
## 307 1 Semiurban Y
## 308 1 Semiurban Y
## 309 1 Rural N
## 310 1 Semiurban Y
## 311 1 Urban Y
## 312 1 Rural Y
## 313 0 Semiurban N
## 314 1 Semiurban N
## 315 0 Rural N
## 316 1 Rural Y
## 317 0 Semiurban N
## 318 1 Urban Y
## 319 1 Urban N
## 320 1 Urban N
## 321 1 Rural Y
## 322 1 Semiurban Y
## 323 1 Rural Y
## 324 1 Urban Y
## 325 1 Rural Y
## 326 1 Rural N
## 327 1 Semiurban Y
## 328 1 Rural Y
## 329 1 Urban Y
## 330 1 Semiurban Y
## 331 0 Rural N
## 332 1 Semiurban Y
## 333 1 Urban Y
## 334 1 Semiurban Y
## 335 1 Rural Y
## 336 1 Semiurban Y
## 337 1 Rural Y
## 338 1 Semiurban Y
## 339 1 Rural Y
## 340 1 Rural Y
## 341 1 Rural N
## 342 0 Rural N
## 343 0 Rural N
## 344 0 Rural N
## 345 0 Rural Y
## 346 1 Semiurban Y
## 347 1 Semiurban Y
## 348 1 Urban Y
## 349 1 Urban N
## 350 1 Rural Y
## 351 1 Semiurban N
## 352 1 Urban Y
## 353 1 Rural Y
## 354 1 Semiurban Y
## 355 0 Semiurban N
## 356 1 Rural Y
## 357 0 Urban N
## 358 1 Semiurban Y
## 359 1 Urban N
## 360 1 Semiurban Y
## 361 0 Rural N
## 362 1 Semiurban Y
## 363 1 Rural Y
## 364 1 Semiurban Y
## 365 0 Semiurban N
## 366 1 Rural Y
## 367 1 Rural Y
## 368 1 Semiurban Y
## 369 1 Semiurban Y
## 370 1 Rural Y
## 371 0 Rural N
## 372 1 Semiurban Y
## 373 1 Urban N
## 374 1 Rural Y
## 375 0 Rural N
## 376 1 Semiurban Y
## 377 1 Rural Y
## 378 1 Semiurban Y
## 379 0 Rural N
## 380 1 Rural Y
## 381 1 Semiurban Y
## 382 1 Semiurban Y
## 383 1 Semiurban Y
## 384 1 Rural Y
## 385 1 Urban N
## 386 1 Urban Y
## 387 1 Rural N
## 388 1 Semiurban Y
## 389 1 Urban Y
## 390 1 Semiurban N
## 391 1 Rural Y
## 392 1 Semiurban Y
## 393 0 Semiurban N
## 394 1 Semiurban N
## 395 1 Rural N
## 396 1 Semiurban Y
## 397 1 Semiurban Y
## 398 1 Rural Y
## 399 1 Semiurban Y
## 400 0 Semiurban Y
## 401 1 Semiurban Y
## 402 1 Semiurban Y
## 403 1 Urban Y
## 404 0 Rural N
## 405 1 Rural Y
## 406 1 Semiurban Y
## 407 1 Rural N
## 408 1 Rural Y
## 409 1 Semiurban Y
## 410 0 Semiurban N
## 411 1 Semiurban Y
## 412 1 Urban Y
## 413 1 Rural Y
## 414 1 Semiurban N
## 415 1 Rural Y
## 416 0 Semiurban N
## 417 1 Rural Y
## 418 1 Urban Y
## 419 0 Urban N
## 420 0 Rural N
## 421 1 Semiurban Y
## 422 1 Semiurban Y
## 423 1 Semiurban Y
## 424 1 Semiurban Y
## 425 1 Semiurban Y
## 426 1 Rural Y
## 427 1 Semiurban Y
## 428 0 Urban N
## 429 1 Urban Y
## 430 0 Rural N
## 431 1 Urban N
## 432 0 Urban N
## 433 1 Urban Y
## 434 0 Urban N
## 435 1 Semiurban N
## 436 1 Semiurban N
## 437 1 Urban Y
## 438 0 Semiurban N
## 439 1 Urban Y
## 440 1 Rural Y
## 441 1 Urban Y
## 442 1 Semiurban Y
## 443 1 Urban N
## 444 1 Semiurban Y
## 445 0 Rural N
## 446 1 Rural N
## 447 1 Urban Y
## 448 1 Semiurban Y
## 449 1 Semiurban Y
## 450 0 Semiurban N
## 451 1 Semiurban Y
## 452 1 Semiurban N
## 453 1 Rural Y
## 454 1 Rural Y
## 455 1 Rural N
## 456 0 Semiurban N
## 457 1 Rural Y
## 458 1 Urban Y
## 459 1 Rural Y
## 460 1 Urban Y
## 461 1 Rural Y
## 462 1 Semiurban Y
## 463 1 Rural Y
## 464 1 Rural Y
## 465 1 Rural Y
## 466 1 Rural Y
## 467 1 Urban Y
## 468 1 Urban Y
## 469 0 Semiurban N2.7 Penanganan Data Kategorikal
## Loan_ID Gender Married Dependents Education Self_Employed ApplicantIncome
## 1 469 3 3 5 2 3 388
## CoapplicantIncome LoanAmount Loan_Amount_Term Credit_History Property_Area
## 1 230 157 9 2 3
## Loan_Status
## 1 23 Tugas 2
Lakukan Proses Visualisasi Data dengan menggunakan R dan Python dengan beberapa langkah berikut:
3.1 Visualisasi Univariabel
3.1.1 Kategorik
library(ggplot2)
library(patchwork)
plotG <- ggplot(ro.datakonsum_outlier, aes(x = Gender)) + geom_bar()
plotM <- ggplot(ro.datakonsum_outlier, aes(x = Married)) + geom_bar()
plotD <- ggplot(ro.datakonsum_outlier, aes(x = Dependents)) + geom_bar()
plotE <- ggplot(ro.datakonsum_outlier, aes(x = Education)) + geom_bar()
plotSE <- ggplot(ro.datakonsum_outlier, aes(x = Self_Employed)) + geom_bar()
plotLAT <- ggplot(ro.datakonsum_outlier, aes(x = Loan_Amount_Term)) + geom_bar()+
theme(axis.text.x= element_text(angle=45, vjust = 0.5, hjust = 0.5))
plotCH <- ggplot(ro.datakonsum_outlier, aes(x = Credit_History)) + geom_bar()
plotPA <- ggplot(ro.datakonsum_outlier, aes(x = Property_Area)) + geom_bar()
plotLS <- ggplot(ro.datakonsum_outlier, aes(x = Loan_Status)) + geom_bar()
plotG +
plotM +
plotD +
plotE +
plotSE +
plotLAT +
plotCH +
plotPA +
plotLS +
plot_layout(ncol=3)
3.1.2 Numerikal
library(ggplot2)
library(patchwork)
plot1 <- ggplot(ro.datakonsum_outlier, aes(x = ApplicantIncome))+
geom_histogram( bins=30, fill = "yellow",colour= "white")
plot2 <- ggplot(ro.datakonsum_outlier, aes(x = CoapplicantIncome))+
geom_histogram( bins=30, fill = "pink",colour= "white")
plot3 <- ggplot(ro.datakonsum_outlier, aes(x = LoanAmount))+
geom_histogram( bins=30, fill = "blue",colour= "white")
plot1 +
plot2 +
plot3 +
plot_layout(nrow = 3)
3.2 Visualisasi Bivariabel
3.2.1 Data Kategorikal vs Kategorikal
ro.datakonsum_outlier$TotalIncome <- ro.datakonsum_outlier$ApplicantIncome + ro.datakonsum_outlier$CoapplicantIncome
plotG.M <- ggplot(ro.datakonsum_outlier, aes(x = Gender, fill = Married)) + theme_get() + geom_bar(position = position_dodge(preserve = "single"))
plotM.E <- ggplot(ro.datakonsum_outlier, aes(x = Married, fill = Education)) + theme_get() + geom_bar(position = position_dodge(preserve = "single"))
plotE.PA <- ggplot(ro.datakonsum_outlier, aes(x = Education, fill = Property_Area)) + theme_get() + geom_bar(position = position_dodge(preserve = "single"))
plotG.M +
plotM.E +
plotE.PA +
plot_layout(ncol=3)
3.2.2 Data Numerikal vs Numerikal
plotLA.CI <- ggplot(ro.datakonsum_outlier, aes(x= LoanAmount, y = CoapplicantIncome)) + geom_line()
plotLA.AI <- ggplot(ro.datakonsum_outlier, aes(x= LoanAmount, y = ApplicantIncome)) + geom_line()
plotAI.CI <- ggplot(ro.datakonsum_outlier, aes(x= ApplicantIncome, y = CoapplicantIncome)) + geom_line()
plotLA.CI +
plotLA.AI +
plotAI.CI +
plot_layout(ncol=3)
4 Tugas 3
Lakukan proses analisa data secara deskriptif menggunakan R dan Python dengan beberapa langkah berikut:
4.1 Kualitatif
4.1.1 Kategori Univariat
##
## Female Male
## 0.01705757 0.18123667 0.80170576##
## 0 1 2 3+
## 0.02558635 0.57142857 0.14925373 0.17910448 0.07462687##
## No Yes
## 0.004264392 0.360341151 0.635394456##
## No Yes
## 0.04904051 0.84008529 0.11087420##
## Graduate Not Graduate
## 0.7761194 0.2238806##
## N Y
## 0.3027719 0.6972281##
## 0 1
## 0.1492537 0.8507463##
## Rural Semiurban Urban
## 0.2963753 0.3965885 0.30703624.1.2 Kategori Bivariat
ro.datakonsum_outlier%>% # load the data
select(Gender, Education) %>% # select vectors into matrix and inspect
table() # count frequencies of bivariate combinations ## Education
## Gender Graduate Not Graduate
## 7 1
## Female 72 13
## Male 285 91ro.datakonsum_outlier%>% # load the data
select(Gender, Married) %>% # select vectors into matrix and inspect
table() # count frequencies of bivariate combinations ## Married
## Gender No Yes
## 0 2 6
## Female 0 62 23
## Male 2 105 269ro.datakonsum_outlier%>% # load the data
select(Gender, Property_Area) %>% # select vectors into matrix and inspect
table() # count frequencies of bivariate combinations ## Property_Area
## Gender Rural Semiurban Urban
## 3 3 2
## Female 21 44 20
## Male 115 139 122ro.datakonsum_outlier%>% # load the data
select(Gender, Loan_Amount_Term) %>% # select vectors into matrix and inspect
table() # count frequencies of bivariate combinations ## Loan_Amount_Term
## Gender 36 60 84 120 180 240 300 360 480
## 0 0 0 0 1 0 0 7 0
## Female 1 0 1 0 2 0 1 76 4
## Male 1 2 2 3 32 2 7 317 10ro.datakonsum_outlier%>% # load the data
select(Education, Self_Employed) %>% # select vectors into matrix and inspect
table() # count frequencies of bivariate combinations ## Self_Employed
## Education No Yes
## Graduate 17 307 40
## Not Graduate 6 87 12ro.datakonsum_outlier%>% # load the data
select(Married, Loan_Amount_Term) %>% # select vectors into matrix and inspect
table() # count frequencies of bivariate combinations ## Loan_Amount_Term
## Married 36 60 84 120 180 240 300 360 480
## 0 0 0 0 0 0 0 1 1
## No 2 1 0 1 7 0 3 147 8
## Yes 0 1 3 2 28 2 5 252 54.1.3 Kategori Multivariat
ro.datakonsum_outlier %>% # load the data
select(Gender, Education, Loan_Status) %>% # select vectors into matrix and inspect
ftable() # a machine readable table## Loan_Status N Y
## Gender Education
## Graduate 4 3
## Not Graduate 1 0
## Female Graduate 29 43
## Not Graduate 4 9
## Male Graduate 68 217
## Not Graduate 36 55ro.datakonsum_outlier %>% # load the data
select(Gender, Education, Loan_Status, Married, Property_Area ) %>% # select vectors into matrix and inspect
ftable() # a machine readable table## Property_Area Rural Semiurban Urban
## Gender Education Loan_Status Married
## Graduate N 0 0 0
## No 0 0 1
## Yes 1 2 0
## Y 0 0 0
## No 0 1 0
## Yes 1 0 1
## Not Graduate N 0 0 0
## No 0 0 0
## Yes 1 0 0
## Y 0 0 0
## No 0 0 0
## Yes 0 0 0
## Female Graduate N 0 0 0
## No 5 11 7
## Yes 3 0 3
## Y 0 0 0
## No 8 13 9
## Yes 0 12 1
## Not Graduate N 0 0 0
## No 2 1 0
## Yes 0 1 0
## Y 0 0 0
## No 2 4 0
## Yes 1 2 0
## Male Graduate N 0 0 0
## No 7 6 10
## Yes 16 14 15
## Y 0 1 1
## No 17 20 19
## Yes 41 69 49
## Not Graduate N 0 0 0
## No 5 1 4
## Yes 12 5 9
## Y 0 0 0
## No 7 8 1
## Yes 10 15 144.2 Kuantitatif
4.2.1 Univariat numerik
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## Min. : 150 Min. : 0 Min. : 9.0 Min. : 36.0
## 1st Qu.: 2764 1st Qu.: 0 1st Qu.:100.0 1st Qu.:360.0
## Median : 3598 Median : 1300 Median :123.0 Median :360.0
## Mean : 4058 Mean : 1522 Mean :127.1 Mean :342.7
## 3rd Qu.: 4887 3rd Qu.: 2210 3rd Qu.:155.0 3rd Qu.:360.0
## Max. :10139 Max. :33837 Max. :267.0 Max. :480.0
## Credit_History TotalIncome
## Min. :0.0000 Min. : 1442
## 1st Qu.:1.0000 1st Qu.: 3917
## Median :1.0000 Median : 5000
## Mean :0.8507 Mean : 5580
## 3rd Qu.:1.0000 3rd Qu.: 6500
## Max. :1.0000 Max. :35673## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 3.495024e+06 6.107521e+06 2.124113e+03 4.366112e+03
## Credit_History TotalIncome
## 1.272484e-01 7.543115e+06## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1869.4983229 2471.3399548 46.0881046 66.0765606
## Credit_History TotalIncome
## 0.3567189 2746.4731101## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1485.5652 1927.3800 40.0302 0.0000
## Credit_History TotalIncome
## 0.0000 1816.1850## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 2123 2210 55 0
## Credit_History TotalIncome
## 0 2583## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1.1492273 6.7997554 0.4093775 -2.2385870
## Credit_History TotalIncome
## -1.9623205 4.1140837## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term
## 1.2076361 73.4036542 0.3637761 6.0615371
## Credit_History TotalIncome
## 1.8546700 34.63372314.2.2 Bivariat numerik
## [1] 23595.88## [1] -1029715## [1] 41026.11## [1] -0.2228741## [1] 0.2071643## [1] 0.47615284.2.3 Multivariat numerik
## ApplicantIncome CoapplicantIncome LoanAmount
## ApplicantIncome 3.495024e+06 -1.029715e+06 4.102611e+04
## CoapplicantIncome -1.029715e+06 6.107521e+06 2.359588e+04
## LoanAmount 4.102611e+04 2.359588e+04 2.124113e+03
## Loan_Amount_Term -6.020280e+03 8.589747e+02 3.131842e+02
## Credit_History 4.077822e+01 -7.085980e-01 -2.755454e-02
## TotalIncome 2.465309e+06 5.077806e+06 6.462199e+04
## Loan_Amount_Term Credit_History TotalIncome
## ApplicantIncome -6020.2799738 40.77822426 2465308.67597
## CoapplicantIncome 858.9747328 -0.70859804 5077805.86875
## LoanAmount 313.1841889 -0.02755454 64621.98853
## Loan_Amount_Term 4366.1118583 -0.15882128 -5161.30524
## Credit_History -0.1588213 0.12724837 40.06963
## TotalIncome -5161.3052409 40.06962622 7543114.54472## ApplicantIncome CoapplicantIncome LoanAmount
## ApplicantIncome 1.00000000 -0.2228740970 0.476152832
## CoapplicantIncome -0.22287410 1.0000000000 0.207164284
## LoanAmount 0.47615283 0.2071642838 1.000000000
## Loan_Amount_Term -0.04873536 0.0052601783 0.102840351
## Credit_History 0.06114728 -0.0008037877 -0.001676016
## TotalIncome 0.48014330 0.7481148082 0.510523947
## Loan_Amount_Term Credit_History TotalIncome
## ApplicantIncome -0.048735360 0.0611472753 0.48014330
## CoapplicantIncome 0.005260178 -0.0008037877 0.74811481
## LoanAmount 0.102840351 -0.0016760158 0.51052395
## Loan_Amount_Term 1.000000000 -0.0067380641 -0.02844047
## Credit_History -0.006738064 1.0000000000 0.04089911
## TotalIncome -0.028440470 0.0408991065 1.000000004.2.4 EDA dengan cara malas
## Loading required package: Hmisc## Loading required package: lattice## Loading required package: survival## Loading required package: Formula##
## Attaching package: 'Hmisc'## The following object is masked from 'package:e1071':
##
## impute## The following objects are masked from 'package:dplyr':
##
## src, summarize## The following objects are masked from 'package:base':
##
## format.pval, units## funModeling v.1.9.4 :)
## Examples and tutorials at livebook.datascienceheroes.com
## / Now in Spanish: librovivodecienciadedatos.ailibrary(tidyverse)
library(Hmisc)
library(skimr)
basic_eda <- function(datakonsum)
{
glimpse(datakonsum)
skim(datakonsum)
df_status(datakonsum)
freq(datakonsum)
profiling_num(datakonsum)
plot_num(datakonsum)
describe(datakonsum)
}
eda <- ro.datakonsum_outlier %>% select(-Loan_ID)
basic_eda(eda)## Rows: 469
## Columns: 13
## $ Gender <chr> "Male", "Male", "Male", "Male", "Male", "Male", "Mal~
## $ Married <chr> "Yes", "Yes", "Yes", "No", "Yes", "Yes", "Yes", "Yes~
## $ Dependents <chr> "1", "0", "0", "0", "2", "0", "3+", "2", "2", "2", "~
## $ Education <chr> "Graduate", "Graduate", "Not Graduate", "Graduate", ~
## $ Self_Employed <chr> "No", "Yes", "No", "No", "Yes", "No", "No", "No", "N~
## $ ApplicantIncome <int> 4583, 3000, 2583, 6000, 5417, 2333, 3036, 4006, 3200~
## $ CoapplicantIncome <dbl> 1508, 0, 2358, 0, 4196, 1516, 2504, 1526, 700, 1840,~
## $ LoanAmount <int> 128, 66, 120, 141, 267, 95, 158, 168, 70, 109, 200, ~
## $ Loan_Amount_Term <int> 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 36~
## $ Credit_History <int> 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0~
## $ Property_Area <chr> "Rural", "Urban", "Urban", "Urban", "Urban", "Urban"~
## $ Loan_Status <chr> "N", "Y", "Y", "Y", "Y", "Y", "N", "Y", "Y", "Y", "Y~
## $ TotalIncome <dbl> 6091, 3000, 4941, 6000, 9613, 3849, 5540, 5532, 3900~
## variable q_zeros p_zeros q_na p_na q_inf p_inf type unique
## 1 Gender 0 0.00 0 0 0 0 character 3
## 2 Married 0 0.00 0 0 0 0 character 3
## 3 Dependents 268 57.14 0 0 0 0 character 5
## 4 Education 0 0.00 0 0 0 0 character 2
## 5 Self_Employed 0 0.00 0 0 0 0 character 3
## 6 ApplicantIncome 0 0.00 0 0 0 0 integer 388
## 7 CoapplicantIncome 198 42.22 0 0 0 0 numeric 230
## 8 LoanAmount 0 0.00 0 0 0 0 integer 157
## 9 Loan_Amount_Term 0 0.00 0 0 0 0 integer 9
## 10 Credit_History 70 14.93 0 0 0 0 integer 2
## 11 Property_Area 0 0.00 0 0 0 0 character 3
## 12 Loan_Status 0 0.00 0 0 0 0 character 2
## 13 TotalIncome 0 0.00 0 0 0 0 numeric 420
## Gender frequency percentage cumulative_perc
## 1 Male 376 80.17 80.17
## 2 Female 85 18.12 98.29
## 3 8 1.71 100.00
## Married frequency percentage cumulative_perc
## 1 Yes 298 63.54 63.54
## 2 No 169 36.03 99.57
## 3 2 0.43 100.00
## Dependents frequency percentage cumulative_perc
## 1 0 268 57.14 57.14
## 2 2 84 17.91 75.05
## 3 1 70 14.93 89.98
## 4 3+ 35 7.46 97.44
## 5 12 2.56 100.00
## Education frequency percentage cumulative_perc
## 1 Graduate 364 77.61 77.61
## 2 Not Graduate 105 22.39 100.00
## Self_Employed frequency percentage cumulative_perc
## 1 No 394 84.01 84.01
## 2 Yes 52 11.09 95.10
## 3 23 4.90 100.00
## Property_Area frequency percentage cumulative_perc
## 1 Semiurban 186 39.66 39.66
## 2 Urban 144 30.70 70.36
## 3 Rural 139 29.64 100.00
## Loan_Status frequency percentage cumulative_perc
## 1 Y 327 69.72 69.72
## 2 N 142 30.28 100.00
## datakonsum
##
## 13 Variables 469 Observations
## --------------------------------------------------------------------------------
## Gender
## n missing distinct
## 461 8 2
##
## Value Female Male
## Frequency 85 376
## Proportion 0.184 0.816
## --------------------------------------------------------------------------------
## Married
## n missing distinct
## 467 2 2
##
## Value No Yes
## Frequency 169 298
## Proportion 0.362 0.638
## --------------------------------------------------------------------------------
## Dependents
## n missing distinct
## 457 12 4
##
## Value 0 1 2 3+
## Frequency 268 70 84 35
## Proportion 0.586 0.153 0.184 0.077
## --------------------------------------------------------------------------------
## Education
## n missing distinct
## 469 0 2
##
## Value Graduate Not Graduate
## Frequency 364 105
## Proportion 0.776 0.224
## --------------------------------------------------------------------------------
## Self_Employed
## n missing distinct
## 446 23 2
##
## Value No Yes
## Frequency 394 52
## Proportion 0.883 0.117
## --------------------------------------------------------------------------------
## ApplicantIncome
## n missing distinct Info Mean Gmd .05 .10
## 469 0 388 1 4058 1998 1857 2189
## .25 .50 .75 .90 .95
## 2764 3598 4887 6434 8212
##
## lowest : 150 210 645 674 1000, highest: 9703 9833 9963 10000 10139
## --------------------------------------------------------------------------------
## CoapplicantIncome
## n missing distinct Info Mean Gmd .05 .10
## 469 0 230 0.925 1522 1891 0 0
## .25 .50 .75 .90 .95
## 0 1300 2210 3418 4417
##
## lowest : 0.00 16.12 189.00 240.00 242.00
## highest: 7250.00 8106.00 8980.00 20000.00 33837.00
##
## Value 0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000
## Frequency 202 6 22 55 70 38 23 15 8 11 4
## Proportion 0.431 0.013 0.047 0.117 0.149 0.081 0.049 0.032 0.017 0.023 0.009
##
## Value 5500 6000 6500 7000 8000 9000 20000 34000
## Frequency 6 1 1 2 1 1 2 1
## Proportion 0.013 0.002 0.002 0.004 0.002 0.002 0.004 0.002
##
## For the frequency table, variable is rounded to the nearest 500
## --------------------------------------------------------------------------------
## LoanAmount
## n missing distinct Info Mean Gmd .05 .10
## 469 0 157 1 127.1 51.21 54.4 70.0
## .25 .50 .75 .90 .95
## 100.0 123.0 155.0 187.0 208.6
##
## lowest : 9 17 25 26 30, highest: 253 255 258 260 267
## --------------------------------------------------------------------------------
## Loan_Amount_Term
## n missing distinct Info Mean Gmd
## 469 0 9 0.379 342.7 44.87
##
## lowest : 36 60 84 120 180, highest: 180 240 300 360 480
##
## Value 36 60 84 120 180 240 300 360 480
## Frequency 2 2 3 3 35 2 8 400 14
## Proportion 0.004 0.004 0.006 0.006 0.075 0.004 0.017 0.853 0.030
## --------------------------------------------------------------------------------
## Credit_History
## n missing distinct Info Sum Mean Gmd
## 469 0 2 0.381 399 0.8507 0.2545
##
## --------------------------------------------------------------------------------
## Property_Area
## n missing distinct
## 469 0 3
##
## Value Rural Semiurban Urban
## Frequency 139 186 144
## Proportion 0.296 0.397 0.307
## --------------------------------------------------------------------------------
## Loan_Status
## n missing distinct
## 469 0 2
##
## Value N Y
## Frequency 142 327
## Proportion 0.303 0.697
## --------------------------------------------------------------------------------
## TotalIncome
## n missing distinct Info Mean Gmd .05 .10
## 469 0 420 1 5580 2530 2783 3153
## .25 .50 .75 .90 .95
## 3917 5000 6500 8513 10000
##
## lowest : 1442 1950 1963 2138 2165, highest: 13650 13746 21600 22500 35673
## --------------------------------------------------------------------------------5 Tugas 4
Lakukan pemeriksaan distribusi densitas menggunakan R dan Python pada setiap variabel kuantitatif dengan beberapa bagian sebagai berikut:
5.1 Univariat numerik
5.2 Bivariat Numerik
##
## Attaching package: 'MASS'## The following object is masked from 'package:patchwork':
##
## area## The following object is masked from 'package:dplyr':
##
## select
6 Tugas 5
Lakukan proses pengujian Hipotesis menggunakan R dan Python pada setiap variabel kuantitatif dengan beberapa bagian sebagai berikut:
6.1 Hitunglah margin of error dan estimasi interval untuk proporsi peminjam bejenis kelamin perempuan dalam pada tingkat kepercayaan 95%.
k = sum(ro.datakonsum_outlier$Gender == "Female")
n = sum(count(ro.datakonsum_outlier))
pbar = k/n
SE = sqrt (pbar*(1-pbar)/n); SE## [1] 0.01778754## [1] 0.03486293## [1] 0.1463737 0.21609966.2 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%.
## [1] 384.14596.3 Lakukan pembuktian kebenaran assumsi dengan tingakat signifikansi 0.05, jika Bank mengklaim bahwa pinjaman rata-rata konsumen adalah:
## Loan_ID Gender Married Dependents Education Self_Employed
## 1 LP001882 Male Yes 3+ Graduate No
## 2 LP002502 Female Yes 2 Not Graduate
## 3 LP001529 Male Yes 0 Graduate Yes
## 4 LP001892 Male No 0 Graduate No
## 5 LP002739 Male Yes 0 Not Graduate No
## 6 LP002940 Male No 0 Not Graduate No
## 7 LP001008 Male No 0 Graduate No
## 8 LP002308 Male Yes 0 Not Graduate No
## 9 LP002367 Female No 1 Not Graduate No
## 10 LP001482 Male Yes 0 Graduate Yes
## 11 LP002659 Male Yes 3+ Graduate No
## 12 LP001014 Male Yes 3+ Graduate No
## 13 LP001807 Male Yes 2 Graduate Yes
## 14 LP002265 Male Yes 2 Not Graduate No
## 15 LP002911 Male Yes 1 Graduate No
## 16 LP002689 Male Yes 2 Not Graduate No
## 17 LP002297 Male No 0 Graduate No
## 18 LP001666 Male No 0 Graduate No
## 19 LP002187 Male No 0 Graduate No
## 20 LP002115 Male Yes 3+ Not Graduate No
## 21 LP002862 Male Yes 2 Not Graduate No
## 22 LP002361 Male Yes 0 Graduate No
## 23 LP001289 Male No 0 Graduate No
## 24 LP002863 Male Yes 3+ Graduate No
## 25 LP001206 Male Yes 3+ Graduate No
## 26 LP002224 Male No 0 Graduate No
## 27 LP002435 Male Yes 0 Graduate
## 28 LP002455 Male Yes 2 Graduate No
## 29 LP001744 Male No 0 Graduate No
## 30 LP002587 Male Yes 0 Not Graduate No
## ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term Credit_History
## 1 4333 1811 160 360 0
## 2 210 2917 98 360 1
## 3 2577 3750 152 360 1
## 4 2833 1857 126 360 1
## 5 2917 536 66 360 1
## 6 3833 0 110 360 1
## 7 6000 0 141 360 1
## 8 2167 2400 115 360 1
## 9 4606 0 81 360 1
## 10 3459 0 25 120 1
## 11 3466 3428 150 360 1
## 12 3036 2504 158 360 0
## 13 6250 1300 108 360 1
## 14 1993 1625 113 180 1
## 15 2787 1917 146 360 0
## 16 2192 1742 45 360 1
## 17 2500 20000 103 360 1
## 18 8333 3750 187 360 1
## 19 2500 0 96 480 1
## 20 2647 1587 173 360 1
## 21 6125 1625 187 480 1
## 22 1820 1719 100 360 1
## 23 8566 0 210 360 1
## 24 6406 0 150 360 1
## 25 3029 0 99 360 1
## 26 3069 0 71 480 1
## 27 3539 1376 55 360 1
## 28 3859 0 96 360 1
## 29 2971 2791 144 360 1
## 30 2600 1700 107 360 1
## Property_Area Loan_Status TotalIncome
## 1 Urban Y 6144
## 2 Semiurban Y 3127
## 3 Rural Y 6327
## 4 Rural Y 4690
## 5 Rural N 3453
## 6 Rural Y 3833
## 7 Urban Y 6000
## 8 Urban Y 4567
## 9 Rural N 4606
## 10 Semiurban Y 3459
## 11 Rural Y 6894
## 12 Semiurban N 5540
## 13 Rural Y 7550
## 14 Semiurban Y 3618
## 15 Rural N 4704
## 16 Semiurban Y 3934
## 17 Semiurban Y 22500
## 18 Rural Y 12083
## 19 Semiurban N 2500
## 20 Rural N 4234
## 21 Semiurban N 7750
## 22 Urban Y 3539
## 23 Urban Y 8566
## 24 Semiurban N 6406
## 25 Urban Y 3029
## 26 Urban N 3069
## 27 Rural N 4915
## 28 Semiurban Y 3859
## 29 Semiurban Y 5762
## 30 Rural Y 43006.3.1 Lebih besar $150
mu0 = 150
xbar = mean(sample.data$LoanAmount)
s = sd(sample.data$LoanAmount)
n = sum(count(sample.data))
t = (xbar-mu0)/(s/sqrt(n));t## [1] -3.841094## [1] 1.6991277 Refrensi
- https://bookdown.org/BaktiSiregar/data-science-for-beginners/EDA.html
- https://rpubs.com/dsciencelabs/ks3
- https://rpubs.com/dsciencelabs/ks4
- https://bookdown.org/BaktiSiregar/data-science-for-beginners
- https://www.analyticsvidhya.com/blog/2020/07/univariate-analysis-visualization-with-illustrations-in-python/
- https://seaborn.pydata.org/tutorial/distributions.html
- https://www.geeksforgeeks.org/multiple-density-plots-with-pandas-in-python/
- https://stackoverflow.com/
- https://www.python-graph-gallery.com/ 10.https://seaborn.pydata.org/tutorial/categorical.html
- https://bookdown.org/BaktiSiregar/data-science-for-beginners-part-2