Week-3-Missing-value,-data-duplikat,-outlier
Rafael
2026-03-04
Load Library
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(tidyr)
library(ggplot2)Load dataset
library(VIM)## Warning: package 'VIM' was built under R version 4.5.2## Loading required package: colorspace## Warning: package 'colorspace' was built under R version 4.5.2## Loading required package: grid## VIM is ready to use.## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues##
## Attaching package: 'VIM'## The following object is masked from 'package:datasets':
##
## sleepdata(SBS5242)Melihat sekilas dataset
SBS5242## PW BWS_F Umsatz PERSA BEZWD BEZWDVK
## 1 43888.85242 35081.07414 3737.974701 1.181536e+04 37577.19455 379.05214852
## 2 1449.40170 1239.13170 120.099200 5.945795e+00 1251.43080 8.66535283
## 3 1009.61541 944.93722 79.832300 1.632859e+02 857.75827 4.29699940
## 4 1218.17072 942.29390 104.851729 1.901103e+00 1063.73052 20.49419522
## 5 517.36342 450.46195 41.326691 1.800600e+01 448.09227 2.05900450
## 6 67.19103 44.91809 5.003297 -6.017785e-01 62.71034 -0.26735109
## 7 1683.01369 1381.60557 140.964884 1.197439e+01 1438.19391 19.20824832
## 8 2141.84021 1551.84794 186.967366 3.979387e+01 1896.32869 18.19560084
## 9 1266.61864 1057.68366 102.961968 4.256255e+01 1098.48268 5.26108037
## 10 6757.11323 5884.14928 547.471849 7.198159e+02 5747.90534 30.35963125
## 11 23379.41700 19831.88225 1940.864549 4.400475e+03 19539.73335 155.39931345
## 12 5054.22294 4115.69411 428.828349 4.131865e+02 4224.77256 46.10729168
## 13 735.72447 526.02382 61.388670 5.533321e+01 669.19361 2.53395792
## 14 26787.13436 24420.46994 2183.108026 2.804922e+03 22315.43592 140.77744926
## 15 649.30901 306.82480 656.920908 2.726465e+03 344.71935 2.96667584
## 16 250.72888 115.69142 263.330279 9.928140e+01 135.83536 1.44510060
## 17 3033.95600 1636.26443 2993.268992 3.651849e+03 1504.69147 26.31191247
## 18 575.19520 292.04268 582.326772 3.674323e+02 306.58042 0.00000000
## 19 2044.55341 919.19590 2079.362114 8.393386e+02 1075.32455 0.00000000
## 20 157.98432 81.41603 156.380884 1.575902e+02 81.48733 1.10458519
## 21 1148.86446 597.80067 NA 1.946880e+02 599.81679 5.11078715
## 22 103.31120 51.20821 106.749849 2.120042e+00 51.80395 2.39758519
## 23 3510.47094 1953.56889 3452.478857 1.286976e+03 1752.80439 19.96923376
## 24 1043.95954 658.36606 982.350366 8.757901e+02 518.11647 5.77150646
## 25 1993.35367 867.79148 2130.065224 1.028322e+03 1063.04962 29.80573387
## 26 586.20178 313.49652 581.348704 NA 311.42142 0.00000000
## 27 465.18049 211.78419 481.925364 9.105599e+01 247.96987 6.67823091
## 28 421.55682 210.74124 420.890472 0.000000e+00 214.77625 0.00000000
## 29 2014.82140 985.55296 2026.082919 1.247017e+03 1060.59090 20.40385399
## 30 1267.54768 481.77008 1409.691605 -1.847834e-01 710.94231 18.16692005
## 31 2032.30160 1132.79545 1976.879427 3.424989e+03 1043.42461 9.74201656
## 32 147.91488 76.51618 140.467156 2.430171e+01 79.46220 -0.13232196
## 33 2544.78955 1353.56260 2497.204345 8.670647e+02 1274.67752 0.00000000
## 34 219.77420 124.33997 213.123947 2.433220e+00 111.73747 1.40822543
## 35 2500.56637 1240.94140 2514.065939 0.000000e+00 1337.09183 0.00000000
## 36 294.35280 153.84043 287.254359 4.659670e+01 157.26335 1.26855905
## 37 21.49817 10.21686 21.357157 0.000000e+00 10.42539 -0.52220387
## 38 332.71479 171.30424 331.077857 5.751168e+02 NA 2.40429716
## 39 716.40851 352.07722 730.058799 4.225417e+03 371.20513 6.01942868
## 40 4323.36091 2299.39987 4217.769122 5.183778e+03 2212.37261 33.72917029
## 41 2691.60009 1283.03634 2655.549350 9.413617e+03 1451.80268 0.00000000
## 42 2285.67599 1098.34425 2320.740068 0.000000e+00 1187.23461 21.67247739
## 43 3512.06017 1857.95120 3464.804301 3.103487e+02 1800.37428 14.31692036
## 44 675.20872 345.48384 687.088511 0.000000e+00 340.68830 9.25419987
## 45 365.13280 173.57087 380.210187 6.645529e+02 192.40268 0.00000000
## 46 6627.31070 3600.48559 6605.844485 7.316197e+03 3286.53743 94.13632118
## 47 411.67131 200.19430 409.650623 0.000000e+00 215.91402 0.00000000
## 48 2563.20795 1229.72738 2665.229544 0.000000e+00 1351.41998 33.47155034
## 49 4252.82220 2258.83248 4185.967134 2.074136e+04 2239.35739 27.41361132
## 50 3052.08775 1611.55899 3006.160086 5.423118e+03 1593.26451 12.18574974
## 51 207.88614 88.23779 222.879021 3.306398e+01 110.55348 2.95048229
## 52 2792.94657 1460.31904 2732.581020 0.000000e+00 1417.20896 11.70193960
## 53 1580.23336 718.99052 1619.912960 0.000000e+00 854.65041 0.00000000
## 54 4675.50966 2433.65382 4674.744532 0.000000e+00 2430.29769 49.48825089
## 55 203.96484 113.56668 199.129342 9.711365e+00 107.43988 0.00000000
## 56 3559.34992 1508.76793 3784.705907 0.000000e+00 1995.81995 48.62780268
## 57 NA 562.78862 1161.881642 0.000000e+00 594.56556 NA
## 58 2909.36815 1271.78648 3069.781540 0.000000e+00 1572.87947 0.00000000
## 59 390.58571 203.59997 383.534035 7.183839e+00 206.64364 0.82064488
## 60 1442.14913 NA 1392.139360 6.027820e+02 739.33427 8.39183725
## 61 3348.92106 1698.50519 3301.705485 0.000000e+00 1722.41686 28.67102555
## 62 7406.48846 4723.41518 7049.202086 7.869061e+02 3581.31816 53.41457358
## 63 114.48887 63.97506 111.378839 9.249604e+00 57.76551 0.00000000
## 64 3263.11406 1617.39315 3390.861310 1.002908e+03 1745.38807 40.58710213
## 65 NA 3603.77804 6938.330749 1.014098e+04 3588.30068 52.73482839
## 66 3329.15228 1863.59086 3219.451624 3.508083e+02 1718.79190 0.00000000
## 67 3681.52853 1533.56018 3852.341590 5.035638e+03 2001.94280 NA
## 68 386.28716 180.22752 396.905142 0.000000e+00 202.08240 5.15400545
## 69 324.47380 156.43388 329.150432 3.201053e+02 172.03716 3.27831650
## 70 9989.82427 5992.41570 9644.833977 3.417250e+04 5047.00857 64.84080683
## 71 3949.64921 1817.98924 4175.922908 7.627088e+03 2073.96607 50.12601695
## 72 107.31878 49.26907 109.674688 1.051543e+01 57.84350 0.65797809
## 73 589.56504 311.05428 573.437744 3.199068e+01 307.75046 0.00000000
## 74 147.69916 84.24005 144.023483 3.668384e+02 72.12994 0.69364101
## 75 58.24806 30.12417 58.859764 -4.960528e-01 30.56338 0.37616950
## 76 NA 242.43344 433.889467 5.497950e+01 219.77059 5.45757778
## 77 333.01172 178.13903 330.087606 0.000000e+00 176.00012 2.44143036
## 78 28.70470 15.00677 28.733316 -4.073679e-01 14.77979 -0.66015477
## 79 1323.77427 754.87250 1283.299968 1.755921e+03 669.45278 5.80768248
## 80 879.94630 535.98221 839.246480 1.407044e+01 442.41598 5.56855409
## 81 17934.67102 10016.11590 17426.489617 0.000000e+00 8724.04877 0.00000000
## 82 6285.96133 3182.02894 6365.670613 0.000000e+00 3126.43883 57.43704401
## 83 636.32598 314.24744 654.698727 0.000000e+00 339.91830 6.69241566
## 84 2207.05698 1204.63466 2196.525538 1.016883e+03 1119.64400 22.12335696
## 85 336.22810 184.22825 NA 1.660480e+01 173.45025 NA
## 86 656.07618 318.87779 688.684588 1.922533e+02 349.34918 0.00000000
## 87 5694.65872 3226.62886 5415.757146 0.000000e+00 2834.67516 34.92092300
## 88 189.18636 118.56890 182.442259 4.263131e+01 94.58729 0.72611544
## 89 887.40908 512.38957 857.172175 2.509246e+02 425.87344 8.83687549
## 90 630.96899 305.60829 657.748803 2.744093e+01 331.16910 0.00000000
## 91 3189.25287 1730.83747 3109.941398 8.862844e+01 1572.12635 34.86846319
## 92 395.90040 194.50433 402.021710 1.048985e+03 219.77466 0.57425921
## 93 1117.48762 572.28507 1098.246484 9.221011e+03 554.50645 17.16157152
## 94 451.99021 210.24658 474.939308 1.611659e+01 242.09182 4.40726668
## 95 24.24265 13.14256 24.217303 -4.467400e-02 12.12041 -0.56670317
## 96 385.97344 199.34939 387.022091 8.466693e+00 201.64772 3.32056131
## 97 16271.80032 8100.29829 16409.573081 3.402503e+04 8486.47152 133.41465175
## 98 558.75110 291.87490 551.890638 2.477529e+02 291.21307 NA
## 99 261.57047 135.34802 266.576926 1.650945e+02 138.63084 1.80925574
## 100 1487.33247 781.41090 1454.119126 6.551759e+02 774.79283 6.77464704
## 101 1341.85740 769.38873 1327.313216 9.146534e+01 677.09084 10.95419663
## 102 4703.45785 2214.96686 4820.160569 1.204546e+03 2509.91314 38.78713174
## 103 224.27212 92.04264 238.800254 2.726763e+00 124.71423 2.63268407
## 104 115.38972 56.53938 118.515598 5.139794e+01 61.18045 0.46952216
## 105 1381.63134 604.77425 1451.431226 5.154034e+02 744.29063 18.90643763
## 106 546.05461 262.53788 547.642249 0.000000e+00 291.83860 5.46154162
## 107 3279.68480 1575.30006 3361.173899 2.178180e+03 1796.08860 19.05643164
## 108 188.41628 99.04295 184.363204 4.377271e+00 102.41576 -0.04719354
## 109 334.74295 180.73929 337.204439 3.964576e+01 164.70783 0.00000000
## 110 792.47038 391.97667 801.244509 2.750369e+03 413.83632 8.43261698
## 111 985.08989 469.51864 1004.159010 NA 517.46135 9.46596169
## 112 131.05324 65.66359 128.691890 3.651560e-01 68.31931 0.16152664
## 113 1239.44973 597.26125 1296.951254 9.726776e+01 650.56208 0.00000000
## 114 862.22168 419.87956 867.669182 2.169736e+03 440.14167 11.81487065
## 115 253.56052 122.34808 257.894009 4.913320e+00 139.46027 1.46129201
## 116 1729.63680 1005.59404 1685.220083 5.583438e+02 892.41456 12.48237928
## 117 116.01220 57.92733 117.919882 1.543330e+01 60.94906 0.30732132
## 118 4580.96633 2225.10111 4558.177437 3.934199e+02 2300.95097 39.16674130
## 119 1252.66028 624.24728 1272.648213 8.026548e+01 625.21747 16.13982511
## 120 728.54062 373.40031 726.853300 NA 390.43579 0.00000000
## 121 410.13443 225.63331 404.203873 2.752932e+00 208.86036 0.00000000
## 122 7519.22312 NA 7645.453606 5.491888e+03 3927.94921 51.58543609
## 123 6525.80256 3697.65053 6463.776807 1.563613e+03 3284.06080 68.80233669
## 124 103.21126 46.36175 106.270281 0.000000e+00 55.59928 0.00000000
## 125 368.65359 165.07036 386.660918 1.476811e+02 194.40797 7.28932568
## 126 956.96687 503.17619 963.084700 0.000000e+00 482.35403 23.42303608
## 127 323.73336 152.43630 335.513316 1.855426e+00 173.25179 0.00000000
## 128 2336.86802 1355.59398 NA 3.335728e+02 1259.26203 5.80960088
## 129 995.71361 518.69835 1029.154683 1.348195e-01 545.79534 5.56894453
## 130 988.59411 528.17714 956.057937 3.987273e+03 509.21996 4.34265930
## 131 437.01030 211.52658 457.460944 5.814408e+01 239.97520 0.00000000
## 132 126.72921 63.70741 125.844525 1.260449e+01 66.12116 -0.04518369
## 133 6753.72067 3242.08113 6915.430936 1.314791e+04 3491.21999 72.59463078
## 134 551.12074 282.33188 565.050513 2.021996e+02 288.58675 8.24401333
## 135 544.49796 261.16697 547.612948 5.394239e+00 285.20111 0.00000000
## 136 1058.09625 526.24673 1079.963935 1.421661e+02 541.51573 11.94898156
## 137 247.53301 134.77372 247.441424 6.387831e+00 123.85659 3.58242933
## 138 235.11736 121.57183 238.105783 7.181044e+02 127.01302 2.07546975
## 139 16693.01660 7104.56663 17385.560418 2.618220e+04 8836.55667 81.20482154
## 140 86.18503 44.87018 86.248909 3.063522e+01 44.40561 0.56823485
## 141 5941.82577 3103.23915 5852.477070 8.263669e+02 3044.68568 57.22268106
## 142 243.53163 105.62148 257.916984 6.278043e+01 131.07827 0.00000000
## 143 615.93456 NA 643.127142 2.843387e+01 324.32164 0.00000000
## 144 NA 31.89055 58.604529 3.212765e+00 30.38394 -0.42900888
## 145 222.91662 109.49323 229.508547 0.000000e+00 116.26922 2.90633757
## 146 748.70876 383.88508 759.322334 3.402503e+03 388.75142 6.79976315
## 147 466.41020 228.82030 483.899014 7.667360e+01 246.92051 3.97679671
## 148 1533.77096 816.31644 1537.173360 0.000000e+00 780.25309 12.43587415
## 149 1856.86450 1054.28708 1804.765118 4.211899e+03 981.46502 8.76554582
## 150 379.91562 166.62352 406.083267 0.000000e+00 207.72954 0.00000000
## 151 469.17818 251.87302 461.475699 1.976107e+01 237.91704 3.65500487
## 152 1390.30463 747.07434 1370.547317 2.940005e+02 733.47949 7.00446703
## 153 8941.19847 4593.25918 8872.892506 2.019359e+03 4729.32050 95.80134178
## 154 483.68905 221.72249 505.669237 1.208247e+02 253.76616 9.02159248
## 155 1354.15603 690.93715 1365.449569 0.000000e+00 708.25246 14.29932462
## 156 483.92180 212.89986 512.291848 1.216207e+01 262.61450 0.00000000
## 157 489.25173 266.04465 482.438435 9.224881e+01 253.24358 3.58903082
## 158 4300.63823 2094.97219 4410.213372 4.312401e+03 2240.89844 70.68199933
## 159 553.64492 354.69300 526.535524 1.237537e+02 277.60316 0.00000000
## 160 478.73091 216.10813 491.566847 0.000000e+00 260.00534 3.49264426
## 161 112.05592 57.04274 113.079489 0.000000e+00 58.53374 0.00000000
## 162 2137.80721 1150.24722 2103.406053 0.000000e+00 1085.72852 22.93300999
## 163 661.93090 326.61887 657.768329 1.050866e+02 342.89513 0.00000000
## 164 2323.56048 1201.70042 2220.114258 2.084027e+02 1237.56853 0.00000000
## 165 2042.47062 1156.11107 2049.159602 4.511867e+02 1023.06361 18.97302319
## 166 264.05617 135.32664 265.932099 4.651201e+01 140.62118 0.00000000
## 167 366.94009 191.19019 364.972610 6.995514e+00 189.33231 2.63360634
## 168 278.88447 148.07478 285.753584 3.538620e+02 141.72587 2.95496233
## 169 1800.72447 846.23337 1861.938492 7.172163e+04 964.46047 17.32533714
## 170 4629.92283 2278.91056 4665.883339 0.000000e+00 NA 56.70444508
## 171 34.41006 15.49371 36.592851 1.725339e-01 18.04589 0.00000000
## 172 749.77986 335.16593 775.908162 0.000000e+00 403.37454 6.47215477
## 173 645.19065 317.11583 663.381234 1.065017e+03 341.23220 0.00000000
## 174 1068.87893 546.82543 1045.332847 1.973351e+02 580.99296 0.00000000
## 175 1912.92813 902.88073 1902.333732 7.593526e+03 987.02013 10.28071867
## 176 6923.38892 NA 7384.735841 6.149617e+02 3928.33955 0.00000000
## 177 378.12577 206.74610 378.017249 2.526229e+03 195.47471 4.51783366
## 178 12637.09911 6587.44169 12792.013226 6.432091e+04 6604.06628 78.31586799
## 179 2545.30815 1257.63166 2548.479917 2.785165e+04 1340.30505 20.78412272
## 180 215.50503 NA 211.609488 1.704322e+02 113.49617 0.00000000
## 181 1569.87690 899.37434 1503.918193 6.059757e+02 792.07148 9.36887196
## 182 2739.40883 1309.42851 2809.735508 1.029810e+03 1401.01352 27.26587438
## 183 907.13085 406.81302 934.084433 3.184034e+02 476.22385 6.84793405
## 184 1867.62487 994.48514 1859.804131 0.000000e+00 937.10432 27.48696104
## 185 2871.36657 1411.47622 2906.824779 0.000000e+00 1497.32768 30.96797830
## 186 39.49134 16.86353 43.317262 1.315606e+01 21.05276 0.06892130
## 187 250.24452 124.94241 250.075360 5.153509e+02 NA 0.67931566
## 188 1103.33191 568.14955 1109.253350 5.933832e+00 559.07149 8.88659145
## 189 2333.93284 1213.72091 2395.364358 4.275828e+02 1187.47187 22.51022339
## 190 844.30259 460.99170 816.758982 4.946917e+02 425.22449 5.51741812
## 191 1887.57885 910.38241 1868.660310 1.511247e+04 983.69165 15.48349824
## 192 6623.13357 3656.98993 6586.064829 2.315053e+03 3463.85089 72.88107356
## 193 3156.24957 1485.60832 3218.812967 8.671485e+02 NA 0.00000000
## 194 1603.85191 752.20861 1652.575025 7.025667e+00 847.88573 23.06944309
## 195 192.61110 89.91013 196.222582 2.427600e+02 106.52395 1.05472904
## 196 989.89049 460.98326 1028.330241 5.948685e+03 517.89827 16.88361942
## 197 203.35266 102.68740 209.235736 6.092012e+01 107.37552 1.05409456
## 198 2175.15235 1116.87362 2167.856287 1.150120e+02 1131.83675 0.00000000
## 199 606.96506 316.86537 594.521921 1.104345e+03 302.67029 5.96820918
## 200 209.33457 85.90309 222.884593 1.598032e+02 116.94933 2.19514670
## 201 405.38869 212.69337 403.203547 5.388643e+01 209.62921 2.07321552
## 202 3311.86373 1570.59759 3387.990265 5.382811e+02 1708.83882 79.98316247
## 203 307.62512 159.37902 306.266837 2.302762e+01 158.94645 2.30893846
## 204 NA 66.45553 159.573530 1.460201e+01 81.36949 1.05922114
## 205 844.78681 446.34896 826.234108 1.673239e+02 417.45338 6.66107812
## 206 232.05877 111.44636 237.580904 1.926845e+00 NA 1.89452588
## 207 7255.94227 3484.46839 7347.342601 0.000000e+00 3782.60962 NA
## 208 153.66383 82.45402 152.332281 0.000000e+00 79.22609 1.47490265
## 209 1279.84397 743.23086 1228.843742 0.000000e+00 649.03915 5.40411790
## 210 2312.27303 1228.84199 2300.174420 7.182463e+01 1181.77609 16.74995958
## 211 4417.52306 2317.16650 4297.793681 6.292400e+01 2287.88041 27.30786798
## 212 78.90606 38.85139 82.804471 7.791435e+00 43.42034 0.02024709
## 213 572.35703 254.36981 593.640942 1.639063e+02 309.54242 6.25721260
## 214 95.72788 56.01176 90.973497 -6.040638e-01 48.92639 -0.41213820
## 215 313.02718 143.65179 321.674561 5.834718e+01 176.36313 0.00000000
## 216 238.92646 99.59420 254.500321 3.383513e+00 132.01293 2.19821420
## 217 4827.37763 2355.20491 4900.341270 6.156938e+03 2528.09204 0.00000000
## 218 238.37162 105.64455 250.131671 1.622391e+02 131.54662 0.00000000
## 219 158.24087 81.01975 155.646729 3.304204e+01 83.18538 0.52696590
## 220 2775.80154 1268.19992 2911.459787 0.000000e+00 1470.01826 32.87437447
## 221 8285.78862 3927.40473 NA NA 4415.47751 31.52909713
## 222 4980.77391 2599.91612 4880.434764 2.294397e+03 2543.54782 47.08154343
## 223 11627.01094 5509.00688 11638.599893 1.182152e+04 6123.64466 86.84133825
## 224 886.11291 469.16629 883.285398 8.363889e+01 454.49569 6.33992556
## 225 1896.17790 962.61100 1890.369711 2.157824e+03 989.28713 11.26294612
## 226 670.18796 319.27578 709.050216 1.146645e+03 360.25594 16.94311379
## 227 7813.71283 3403.56340 8267.085452 1.609433e+04 4216.16756 0.00000000
## 228 501.93567 263.51640 502.321679 1.272975e+02 254.81923 6.50727684
## 229 1215.28583 547.84272 1257.659553 2.798646e+02 636.08377 0.00000000
## 230 1064.85800 508.95690 1081.563177 0.000000e+00 540.56709 14.20575918
## 231 4209.23371 2022.18549 4152.501603 8.440480e+03 2168.12033 35.38995168
## 232 38.16033 20.56179 38.113275 1.458658e+00 19.55069 -0.57427874
## 233 147.89461 76.24589 147.195059 8.504624e+01 75.61900 2.54420579
## 234 593.54962 283.29813 618.832395 1.155623e+02 300.11438 0.00000000
## 235 1248.02018 654.85797 1240.070548 8.071230e+02 642.36733 8.38928415
## 236 472.35954 183.26489 512.626291 1.979367e+02 264.07589 0.00000000
## 237 4145.74628 1888.88755 4346.234239 9.012488e+02 2220.49395 0.00000000
## 238 1759.01597 927.80577 1741.373101 0.000000e+00 896.94492 18.00402353
## 239 374.88805 167.37281 398.800322 1.130739e+02 205.68397 5.58527948
## 240 6538.87364 2931.20155 6902.200703 7.323761e+02 3562.02372 91.54622007
## 241 80.98275 37.44147 85.518114 4.897133e+01 43.72788 0.00000000
## 242 17130.70028 8474.48108 17191.407642 1.271759e+05 8783.09925 125.97084242
## 243 587.29814 295.58661 596.321686 1.729294e+03 316.73886 0.00000000
## 244 3558.09241 1847.30486 3599.647470 0.000000e+00 1842.49584 35.65684013
## 245 1652.18562 689.06110 1794.341210 1.148739e+04 916.92158 21.84802894
## 246 38.87081 15.53980 NA 2.242262e+00 20.31354 -0.30533993
## 247 148.63928 74.00676 148.294358 -5.875784e-01 78.86709 1.89020829
## 248 1475.66142 791.59811 1440.776197 7.723248e+03 766.55003 7.57510036
## 249 318.00489 145.96343 330.618922 0.000000e+00 172.84743 4.73087809
## 250 541.05706 255.17089 561.337602 0.000000e+00 281.82772 9.22774066
## 251 3949.54477 2078.83647 3935.259851 8.164317e+01 1999.09509 29.27532648
## 252 263.09656 136.20606 258.881945 4.218448e+02 138.21491 0.99245581
## 253 248.99940 115.53092 259.611284 0.000000e+00 135.93542 1.05832327
## 254 607.65023 335.10294 598.595265 NA 307.49959 0.00000000
## 255 9582.34159 4262.99396 10138.829945 0.000000e+00 5108.83962 147.85617266
## 256 2508.57011 1091.91461 2597.965350 1.466164e+02 1336.22554 27.09243761
## 257 802.04586 378.30508 799.672624 7.606814e+00 423.15594 0.00000000
## 258 2452.39982 1043.50723 2562.364922 1.626358e+03 1331.46592 22.07042577
## 259 4394.01348 2326.24791 4300.770123 4.812183e+03 2295.81959 32.37276985
## 260 1064.34661 521.40942 1072.883911 6.139467e+03 569.32302 9.07713628
## 261 24049.59394 12551.28107 23558.504075 3.220643e+04 12046.99530 142.99357808
## 262 14381.15438 7204.49812 14535.598112 7.734487e+04 7521.84928 103.24295197
## BESCH USB ISACH
## 1 310.09482470 30.48368699 6575.33408147
## 2 18.47358029 -0.41414050 58.02441360
## 3 24.73831059 0.35008017 12.33190904
## 4 30.44421677 -0.37563076 513.91041344
## 5 20.18174945 -0.09648481 21.44578108
## 6 13.85199405 -0.68410116 25.90377909
## 7 40.42703252 0.30442450 810.75814519
## 8 37.92548982 0.36126771 62.04858940
## 9 44.76593468 0.93543718 25.18754774
## 10 177.13820575 6.84392685 96.93852035
## 11 282.55228375 13.65470758 831.62467306
## 12 51.89685239 1.48771343 1597.30911163
## 13 35.89864251 0.27942877 55.85301528
## 14 290.68846422 11.83443607 3978.59179676
## 15 8.65295621 0.00000000 0.00000000
## 16 3.37273054 2.83200570 2.40653504
## 17 16.81826222 0.00000000 229.68202853
## 18 11.69062878 0.00000000 30.27035126
## 19 6.54742217 8.44399895 20.56151834
## 20 6.78125992 4.73445599 0.00000000
## 21 7.81434245 7.09008510 15.64908544
## 22 2.36165545 0.00000000 3.32725311
## 23 16.26024313 19.62365167 785.47590876
## 24 NA 19.85332391 8.05094879
## 25 NA 18.61770798 506.15172450
## 26 2.73592039 1.90155438 3.39728586
## 27 6.60088138 3.94844186 0.00000000
## 28 11.78867371 14.50663484 2.36682675
## 29 12.62030369 10.62273911 32.35981066
## 30 1.04071305 0.00000000 44.60429423
## 31 25.07915148 28.53983990 221.84671249
## 32 2.32590106 NA 20.32654593
## 33 26.70624061 22.84921657 202.08470146
## 34 1.23762517 0.42456498 11.83658583
## 35 18.03765457 22.11778466 10.32693452
## 36 3.75917069 2.77028741 2.32626675
## 37 1.03580879 0.20034466 2.37573602
## 38 5.07433048 6.39527846 2.93125451
## 39 16.94432290 0.00000000 174.82772385
## 40 37.44603785 35.11904613 666.56801915
## 41 27.82815267 43.16952885 NA
## 42 6.84863028 6.04736443 95.46573896
## 43 8.57362857 8.08237911 321.12925237
## 44 17.73665282 21.37879934 341.48467505
## 45 9.43555572 7.56172354 3.73025477
## 46 22.06541325 36.32222084 120.71592051
## 47 1.80759910 1.32645748 0.00000000
## 48 17.75263702 20.14344086 408.65356430
## 49 46.51460813 58.71757793 44.15302521
## 50 17.48837090 20.96471078 2.90903039
## 51 2.93968035 1.27768849 34.12139724
## 52 21.28090910 25.07051721 147.68657368
## 53 7.00231323 0.00000000 213.37381325
## 54 20.54420135 18.25151564 1125.15566767
## 55 0.94193863 0.00000000 3.67408520
## 56 NA 17.80298958 2553.62295732
## 57 3.90143055 2.21777800 14.64863403
## 58 23.15216574 27.31267372 425.57711530
## 59 0.69484300 0.54441330 3.75323157
## 60 27.25839090 21.97116997 34.65814535
## 61 17.77700945 16.80101624 126.24312224
## 62 13.39049302 21.28070402 132.54447211
## 63 1.97456819 0.77721989 3.66401717
## 64 9.21626504 11.38250744 212.63842893
## 65 16.64446011 22.48316515 0.00000000
## 66 10.39323256 9.86732949 189.56160016
## 67 42.21517994 61.41262467 116.49632516
## 68 2.47062709 1.55440518 48.43477398
## 69 7.31019217 5.75342874 79.36240108
## 70 52.70889542 78.25948265 0.00000000
## 71 24.54498122 36.91570932 111.89896441
## 72 1.13454347 0.64472336 13.98235848
## 73 3.51911804 1.71610693 111.37243277
## 74 1.28416340 1.72554722 0.72241245
## 75 1.55306109 -0.06737877 0.65048782
## 76 3.20636009 1.72905220 4.31230218
## 77 7.91870585 5.09364876 28.73435637
## 78 0.48579120 -0.34035061 -0.45254305
## 79 8.69741462 10.21216800 32.62684332
## 80 4.38122570 2.02710205 28.55516806
## 81 33.58187691 56.70717646 70.53792201
## 82 22.77185801 26.75415469 227.25679324
## 83 11.50905762 8.30050759 1.58783737
## 84 15.28317804 11.44428087 41.35236930
## 85 3.44419008 1.87575743 11.35510834
## 86 4.95251326 4.24324183 9.58792099
## 87 53.59442580 0.00000000 1707.63905629
## 88 3.51404386 2.44759739 8.11796455
## 89 4.10905028 4.51338079 110.69922762
## 90 8.52789303 5.14175311 36.74225024
## 91 14.33380753 8.64689183 0.00000000
## 92 10.65946960 12.23865333 1.18053226
## 93 18.55416591 26.90244269 127.18903568
## 94 3.97894756 0.00000000 2.87963274
## 95 0.24294180 -0.34677625 0.65635683
## 96 2.31767794 0.00000000 16.32641784
## 97 51.16527573 74.26772749 254.03406604
## 98 5.81636501 0.00000000 0.00000000
## 99 2.90163156 2.65034781 4.48618055
## 100 22.96458581 20.82670909 27.96865572
## 101 4.19618358 0.00000000 31.02627631
## 102 12.91231431 13.04983410 200.38834757
## 103 4.89729513 2.11578778 127.30002358
## 104 4.40523956 2.57129107 39.04705099
## 105 20.91223325 19.13065243 77.25511077
## 106 9.95208587 8.78941757 23.84704238
## 107 11.28255071 16.25612218 46.16444917
## 108 4.03551044 0.00000000 1.24687797
## 109 5.09144359 4.26950188 21.87505772
## 110 32.81011629 38.40140362 61.26157558
## 111 3.90259845 3.18152158 0.00000000
## 112 -0.16757015 0.00000000 2.41156070
## 113 6.74483543 4.76732822 0.00000000
## 114 14.34404514 15.56102638 16.96452880
## 115 3.97808879 1.75058751 21.29547025
## 116 18.14725221 0.00000000 50.72903242
## 117 2.33584446 0.69783894 -0.34446132
## 118 12.60424027 11.91766534 74.58321827
## 119 2.52397146 2.31431191 0.00000000
## 120 40.05185924 66.04625216 49.17058107
## 121 1.76978977 0.72836972 53.34266823
## 122 9.73280612 0.00000000 55.20667011
## 123 11.51612680 0.00000000 649.56866513
## 124 0.58098328 -0.36159996 2.12548232
## 125 10.91843096 9.30158711 49.42888623
## 126 14.35487016 10.63891655 703.63625739
## 127 0.43433468 0.00000000 NA
## 128 8.72516318 8.84715922 8.18177519
## 129 3.61222990 0.82734257 -0.09251772
## 130 10.79531058 15.90900354 8.86406222
## 131 3.97311818 2.90843364 21.90206052
## 132 0.85102416 0.03041404 48.56103950
## 133 37.95872799 54.01623751 8.51818023
## 134 20.75288248 NA 118.24118441
## 135 2.90450814 0.00000000 21.24124401
## 136 NA 5.58277629 31.36381867
## 137 3.60164926 1.67293696 47.78880749
## 138 20.17801509 22.51708101 2.13397089
## 139 25.81606871 41.57457243 237.45062366
## 140 5.01084720 2.88198749 1.12432362
## 141 28.01403807 25.63732703 196.14244317
## 142 4.51696859 2.82937035 69.98780993
## 143 3.22153949 1.51642772 2.94304064
## 144 0.97555451 0.19766608 -0.13651637
## 145 4.12258664 2.15788441 27.60900705
## 146 11.25720900 18.15479506 22.34722311
## 147 4.47049188 0.00000000 12.14294499
## 148 6.73495913 6.94584527 20.30342165
## 149 11.19071598 11.83796881 0.00000000
## 150 15.99295560 NA 32.59619897
## 151 4.93840477 3.23305946 0.00000000
## 152 8.46947546 9.07190408 19.50180736
## 153 18.84750495 27.91009989 599.21153784
## 154 6.38043982 4.38202315 35.34923555
## 155 22.79113778 35.82826740 166.13908668
## 156 4.99511967 2.93775780 231.83150488
## 157 4.61219255 3.93553680 0.00000000
## 158 23.86510886 24.48055041 202.29929939
## 159 10.33488151 7.87905927 2.39109850
## 160 9.45430208 0.00000000 NA
## 161 2.35460817 0.00000000 30.65641926
## 162 24.49727048 0.00000000 41.48663576
## 163 9.02356293 0.00000000 5.93902852
## 164 21.05920693 18.50666623 8.14288559
## 165 6.10078666 5.44430907 408.21741621
## 166 5.11674820 3.37344963 11.91117177
## 167 3.42801549 1.35304264 3.06292105
## 168 4.43898917 4.30078622 17.10490367
## 169 51.93424515 96.45250828 38.28442406
## 170 14.42847854 9.18154583 NA
## 171 0.50666877 0.00000000 4.77930523
## 172 4.45825295 2.83910662 33.25556742
## 173 16.21970295 15.76339005 0.00000000
## 174 10.80103287 8.44290851 9.90272664
## 175 11.95194077 23.34055722 25.17407256
## 176 16.51205189 0.00000000 456.74947502
## 177 15.06659136 16.99399344 24.81360111
## 178 40.30898990 0.00000000 187.27223061
## 179 31.67807763 44.03802106 0.00000000
## 180 3.97479232 3.07999877 3.45160684
## 181 6.65774780 6.89933385 0.58776492
## 182 20.10528507 24.95454323 370.31949198
## 183 16.76980983 16.75848344 84.81525136
## 184 13.14632979 7.28938345 585.10776669
## 185 19.22759949 22.37976655 48.47491597
## 186 2.09008891 0.96145396 11.68588538
## 187 4.19192084 4.58964799 -0.92491234
## 188 1.37606793 0.00000000 41.67789221
## 189 10.18634355 10.65554374 24.67139235
## 190 8.02561299 8.73790459 NA
## 191 24.40789577 38.93649374 224.43057158
## 192 16.60875224 20.95053621 97.20757323
## 193 13.18691606 18.05774820 168.55952578
## 194 6.11595251 3.76969389 112.61843955
## 195 7.79558955 0.00000000 0.97383576
## 196 41.80195584 47.55032218 187.12105728
## 197 NA 4.92672846 4.36156735
## 198 19.62881818 12.54007161 1190.31026671
## 199 5.97867493 8.07982698 36.24811873
## 200 7.35786863 6.84627631 34.30258590
## 201 4.91272480 3.99569366 121.65659418
## 202 14.95831799 0.00000000 1298.95409585
## 203 2.41210197 1.03570094 0.00000000
## 204 2.36903242 1.35550797 12.81513319
## 205 10.29631853 8.76102234 72.63349186
## 206 0.45691522 -0.33272964 13.41126340
## 207 5.00916906 5.25642551 0.00000000
## 208 0.40861917 0.00000000 19.05576288
## 209 2.41774469 0.00000000 19.58789656
## 210 14.68581648 10.74583667 127.66240705
## 211 15.88155589 13.16576453 132.77242350
## 212 3.41888108 1.37623315 26.10762232
## 213 6.05744524 4.98163920 0.00000000
## 214 0.20064542 0.00000000 0.13589327
## 215 5.03886186 3.82679880 20.08848927
## 216 2.68095751 0.00000000 75.13100081
## 217 61.39693082 0.00000000 458.27161093
## 218 4.72154644 4.77941458 1.91623236
## 219 2.15014883 1.45864955 0.57007828
## 220 6.10548659 4.44665371 67.85492783
## 221 21.29878789 32.20186786 640.94323966
## 222 33.19402214 39.35958305 140.09138049
## 223 61.12714559 64.08266170 336.44424808
## 224 2.94456148 0.00000000 23.21686572
## 225 17.21612837 19.14236328 16.14904478
## 226 15.92789568 13.52694377 22.11475188
## 227 40.32022557 47.75843102 254.21777563
## 228 4.99417892 4.82310195 23.97198659
## 229 16.00026114 18.60702267 1.80292741
## 230 10.28492446 12.59892563 110.49814689
## 231 63.96953924 73.18904719 85.31257524
## 232 0.24845260 NA 0.26325473
## 233 7.99406668 0.00000000 11.82834962
## 234 5.81128076 0.00000000 7.33992211
## 235 14.92425714 0.00000000 0.00000000
## 236 6.41181726 NA 31.71713102
## 237 8.68099955 9.65884307 332.87001996
## 238 24.93845747 27.19058648 41.85836176
## 239 4.73495410 3.52438161 39.57608551
## 240 18.24550336 18.22407376 1843.51926868
## 241 0.84415021 0.58288296 0.90721802
## 242 64.74210895 105.36741942 2390.14230755
## 243 21.26566035 20.16072352 106.37148100
## 244 45.17474960 77.21788533 0.00000000
## 245 30.41936526 0.00000000 137.84794608
## 246 -0.03561554 -0.30926904 2.88893989
## 247 1.19180920 -0.11396669 32.93113249
## 248 21.49166743 29.59456162 24.17864393
## 249 3.13949785 2.63290629 4.12578468
## 250 15.48106245 12.31680219 238.36829294
## 251 5.66743279 3.43983067 316.26833301
## 252 5.55039722 6.98232464 0.00000000
## 253 2.38834173 0.00000000 3.46312374
## 254 6.59757417 0.00000000 109.25984852
## 255 25.64475813 30.31811300 0.00000000
## 256 4.03182365 2.64747307 313.78851159
## 257 3.73745228 1.87372839 10.60729855
## 258 9.89028808 13.36787852 95.57626759
## 259 23.20820905 29.77702179 203.07981478
## 260 21.37670540 30.26448697 73.96728147
## 261 75.17959846 0.00000000 979.72457477
## 262 23.55834582 0.00000000 1065.26878722head(SBS5242)## PW BWS_F Umsatz PERSA BEZWD BEZWDVK
## 1 43888.85242 35081.07414 3737.974701 11815.3610831 37577.19455 379.0521485
## 2 1449.40170 1239.13170 120.099200 5.9457950 1251.43080 8.6653528
## 3 1009.61541 944.93722 79.832300 163.2859277 857.75827 4.2969994
## 4 1218.17072 942.29390 104.851729 1.9011026 1063.73052 20.4941952
## 5 517.36342 450.46195 41.326691 18.0060038 448.09227 2.0590045
## 6 67.19103 44.91809 5.003297 -0.6017785 62.71034 -0.2673511
## BESCH USB ISACH
## 1 310.09482 30.48368699 6575.33408
## 2 18.47358 -0.41414050 58.02441
## 3 24.73831 0.35008017 12.33191
## 4 30.44422 -0.37563076 513.91041
## 5 20.18175 -0.09648481 21.44578
## 6 13.85199 -0.68410116 25.90378summary(SBS5242)## PW BWS_F Umsatz PERSA
## Min. : 21.5 Min. : 10.22 Min. : 5.003 Min. : -0.604
## 1st Qu.: 365.1 1st Qu.: 171.30 1st Qu.: 306.267 1st Qu.: 3.213
## Median : 985.1 Median : 503.18 Median : 801.245 Median : 105.087
## Mean : 2515.4 Mean : 1406.27 Mean : 2100.978 Mean : 3147.404
## 3rd Qu.: 2691.6 3rd Qu.: 1309.43 3rd Qu.: 2548.480 3rd Qu.: 1002.908
## Max. :43888.9 Max. :35081.07 Max. :23558.504 Max. :127175.910
## NA's :5 NA's :5 NA's :5 NA's :5
## BEZWD BEZWDVK BESCH USB
## Min. : 10.43 Min. : -0.6602 Min. : -0.1676 Min. : -0.6841
## 1st Qu.: 192.40 1st Qu.: 0.0000 1st Qu.: 3.9789 1st Qu.: 0.5444
## Median : 517.46 Median : 5.5174 Median : 9.4356 Median : 4.7794
## Mean : 1453.76 Mean : 18.1511 Mean : 17.6972 Mean : 12.0593
## 3rd Qu.: 1417.21 3rd Qu.: 20.4038 3rd Qu.: 20.1053 3rd Qu.: 18.0577
## Max. :37577.19 Max. :379.0521 Max. :310.0948 Max. :105.3674
## NA's :5 NA's :5 NA's :5 NA's :5
## ISACH
## Min. : -0.9249
## 1st Qu.: 3.7532
## Median : 31.0263
## Mean : 191.0032
## 3rd Qu.: 127.1890
## Max. :6575.3341
## NA's :5Pendeteksian Missing Values
is.na(SBS5242)## PW BWS_F Umsatz PERSA BEZWD BEZWDVK BESCH USB ISACH
## 1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 2 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 3 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 4 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 6 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 7 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 8 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 9 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 10 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 11 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 12 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 13 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 14 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 15 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 16 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 17 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 18 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 19 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 20 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 21 FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## 22 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 23 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 24 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## 25 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## 26 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
## 27 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 28 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 29 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 30 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 31 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 32 FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
## 33 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 34 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 35 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 36 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 37 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 38 FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE
## 39 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 40 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 41 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
## 42 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 43 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 44 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 45 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 46 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 47 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 48 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 49 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 50 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 51 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 52 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 53 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 54 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 55 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 56 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## 57 TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## 58 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 59 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 60 FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 61 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 62 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 63 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 64 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 65 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## 66 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## 262 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSEcolSums(is.na(SBS5242))## PW BWS_F Umsatz PERSA BEZWD BEZWDVK BESCH USB ISACH
## 5 5 5 5 5 5 5 5 5library(VIM)aggr(SBS5242, numbers = TRUE, prop = FALSE)
SBS5242 <- as.data.frame(SBS5242)class(SBS5242)## [1] "data.frame"Imputasi Missing Values
SBS5242[] <- lapply(SBS5242, function(x) {
if(is.numeric(x)) {
x[is.na(x)] <- median(x, na.rm = TRUE)
}
return(x)
})colSums(is.na(SBS5242))## PW BWS_F Umsatz PERSA BEZWD BEZWDVK BESCH USB ISACH
## 0 0 0 0 0 0 0 0 0summary(SBS5242)## PW BWS_F Umsatz PERSA
## Min. : 21.5 Min. : 10.22 Min. : 5.003 Min. : -0.604
## 1st Qu.: 367.4 1st Qu.: 174.71 1st Qu.: 323.543 1st Qu.: 3.632
## Median : 985.1 Median : 503.18 Median : 801.245 Median : 105.087
## Mean : 2486.2 Mean : 1389.03 Mean : 2076.174 Mean : 3089.344
## 3rd Qu.: 2558.7 3rd Qu.: 1280.22 3rd Qu.: 2509.851 3rd Qu.: 894.884
## Max. :43888.9 Max. :35081.07 Max. :23558.504 Max. :127175.910
## BEZWD BEZWDVK BESCH USB
## Min. : 10.43 Min. : -0.66015 Min. : -0.1676 Min. : -0.6841
## 1st Qu.: 194.68 1st Qu.: 0.03242 1st Qu.: 4.0327 1st Qu.: 0.5983
## Median : 517.46 Median : 5.51742 Median : 9.4356 Median : 4.7794
## Mean : 1435.89 Mean : 17.91000 Mean : 17.5395 Mean : 11.9204
## 3rd Qu.: 1388.62 3rd Qu.: 19.77899 3rd Qu.: 19.5285 3rd Qu.: 17.6007
## Max. :37577.19 Max. :379.05215 Max. :310.0948 Max. :105.3674
## ISACH
## Min. : -0.9249
## 1st Qu.: 4.1724
## Median : 31.0263
## Mean : 187.9502
## 3rd Qu.: 125.0965
## Max. :6575.3341Deteksi dan Penanganan Outlier
numeric_data <- SBS5242[sapply(SBS5242, is.numeric)]SBS_clean <- numeric_data
for(col in names(SBS_clean)){
Q1 <- quantile(SBS_clean[[col]], 0.25, na.rm = TRUE)
Q3 <- quantile(SBS_clean[[col]], 0.75, na.rm = TRUE)
IQR_val <- Q3 - Q1
lower <- Q1 - 1.5 * IQR_val
upper <- Q3 + 1.5 * IQR_val
SBS_clean[[col]][SBS_clean[[col]] < lower] <- lower
SBS_clean[[col]][SBS_clean[[col]] > upper] <- upper
}numeric_data <- SBS5242[sapply(SBS5242, is.numeric)]
outlier_count <- sapply(numeric_data, function(x) {
Q1 <- quantile(x, 0.25, na.rm = TRUE)
Q3 <- quantile(x, 0.75, na.rm = TRUE)
IQR_val <- Q3 - Q1
lower <- Q1 - 1.5 * IQR_val
upper <- Q3 + 1.5 * IQR_val
sum(x < lower | x > upper, na.rm = TRUE)
})
outlier_count## PW BWS_F Umsatz PERSA BEZWD BEZWDVK BESCH USB ISACH
## 28 28 24 46 28 28 17 16 35outlier_matrix <- sapply(numeric_data, function(x) {
Q1 <- quantile(x, 0.25, na.rm = TRUE)
Q3 <- quantile(x, 0.75, na.rm = TRUE)
IQR_val <- Q3 - Q1
lower <- Q1 - 1.5 * IQR_val
upper <- Q3 + 1.5 * IQR_val
x < lower | x > upper
})
sum(apply(outlier_matrix, 1, any))## [1] 83Q1 <- quantile(SBS5242$PW, 0.25, na.rm = TRUE)
Q3 <- quantile(SBS5242$PW, 0.75, na.rm = TRUE)
IQR_val <- Q3 - Q1
lower_bound <- Q1 - 1.5 * IQR_val
upper_bound <- Q3 + 1.5 * IQR_val
outliers <- SBS5242$PW < lower_bound | SBS5242$PW > upper_boundsum(outliers)## [1] 28boxplot(SBS5242[sapply(SBS5242, is.numeric)],
main = "Boxplot Semua Variabel Numerik",
col = "gold",
las = 2)
SBS5242$PW[outliers] <- ifelse(SBS5242$PW[outliers] < lower_bound, lower_bound, upper_bound)Deteksi dan Hapus Duplikasi
sum(duplicated(SBS5242)) ## [1] 0SBS5242 <- SBS5242[!duplicated(SBS5242), ]Mengecek Data Setelah Preprocessing
summary(SBS5242) ## PW BWS_F Umsatz PERSA
## Min. : 21.5 Min. : 10.22 Min. : 5.003 Min. : -0.604
## 1st Qu.: 367.4 1st Qu.: 174.71 1st Qu.: 323.543 1st Qu.: 3.632
## Median : 985.1 Median : 503.18 Median : 801.245 Median : 105.087
## Mean :1772.9 Mean : 1389.03 Mean : 2076.174 Mean : 3089.344
## 3rd Qu.:2558.7 3rd Qu.: 1280.22 3rd Qu.: 2509.851 3rd Qu.: 894.884
## Max. :5845.8 Max. :35081.07 Max. :23558.504 Max. :127175.910
## BEZWD BEZWDVK BESCH USB
## Min. : 10.43 Min. : -0.66015 Min. : -0.1676 Min. : -0.6841
## 1st Qu.: 194.68 1st Qu.: 0.03242 1st Qu.: 4.0327 1st Qu.: 0.5983
## Median : 517.46 Median : 5.51742 Median : 9.4356 Median : 4.7794
## Mean : 1435.89 Mean : 17.91000 Mean : 17.5395 Mean : 11.9204
## 3rd Qu.: 1388.62 3rd Qu.: 19.77899 3rd Qu.: 19.5285 3rd Qu.: 17.6007
## Max. :37577.19 Max. :379.05215 Max. :310.0948 Max. :105.3674
## ISACH
## Min. : -0.9249
## 1st Qu.: 4.1724
## Median : 31.0263
## Mean : 187.9502
## 3rd Qu.: 125.0965
## Max. :6575.3341Kesimpulan
Setelah dilakukan preprocessing, dataset SBS5242 telah bersih dari missing values, outlier telah ditangani, dan duplikasi data telah dihapus. Proses ini memastikan data siap digunakan untuk analisis lebih lanjut.
Langkah-langkah ini memberikan pemahaman mendalam tentang preprocessing data, yang merupakan tahap penting sebelum melanjutkan analisis atau model prediktif.