rm(list=ls(all=t))
filename <- "App_urban_students_NOPII" # !!!Update filename
functions_vers <- "functions_1.7.R" # !!!Update helper functions file
source (functions_vers)
Visually inspect variables in "dictionary.csv" and flag for risk, using the following flags:
# Direct PII: Respondent Names, Addresses, Identification Numbers, Phone Numbers
# Direct PII-team: Interviewer Names, other field team names
# Indirect PII-ordinal: Date of birth, Age, income, education, household composition.
# Indirect PII-categorical: Gender, education, ethnicity, nationality,
# occupation, employer, head of household, marital status
# GPS: Longitude, Latitude
# Small Location: Location (<100,000)
# Large Location (>100,000)
# Weight: weightVar
# Household ID: hhId,
# Open-ends: Review responses for any sensitive information, redact as necessary
# !!!Include any Direct PII variables
dropvars <- c("nombres",
"item_1_2_1",
"item_1_2_2_1",
"item_1_2_3",
"item_1_2_4",
"item_3_4_1",
"item_3_4_2",
"item_5_6_1",
"item_5_6_2")
mydata <- mydata[!names(mydata) %in% dropvars]
mydata <- encode_location (variables= "student_id", missing=999999)
## [1] "Frequency table before encoding"
## student_id.
## 10017823 1003709 1004629 10049667 10059815 10064857 10076565 10077376 10086171 10107539 1011303 10118019 10129516
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 10131254 10133822 10133987 10147296 10160473 10179117 10188330 10195581 10213153 10294206 10294535 10319085 10320367
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 10323884 10324068 10324190 10325458 10336368 10354702 10354987 10355964 10378211 10420472 10425066 10435182 10435206
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 10435220 10461562 10468796 1047103 10471313 10480352 10494599 10495025 10495207 10530724 1054520 10546177 10562555
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 10594010 10597354 10599312 10658695 10661124 10662636 10664197 10679944 10683381 10698552 10757392 10778211 10781981
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1078463 10787575 10787865 10791107 10791114 10791121 10791122 10791384 10791387 10791393 10795240 10799818 10802840
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 10810446 10810448 10810591 10820157 10820232 10820248 10823044 10824916 10824985 10867335 10874618 10893384 10904600
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 10936482 1095376 1095535 10959064 10974694 10976342 10976353 10976400 10976499 1098947 10996094 11023786 11038143
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 11078107 11094089 11094097 11095012 11099108 11118859 11125618 11139678 11150077 11184445 11185879 1119016 11201113
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 11202675 1121378 11218576 1125764 11277009 11287990 11287999 11289062 11289255 11294187 11294194 11294198 11304492
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 11310638 11330691 11343645 11344751 11352028 11377301 1142816 11444400 11446963 11450044 11478368 11488976 11493668
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 11506726 1152627 11553689 11563553 11566612 11583834 11616234 11620420 11625649 11658781 11674347 11741564 11786045
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 11795181 11845736 11855601 11864819 11871404 11880783 11881688 11889831 11889837 11905330 11906169 11914067 11922822
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 11932431 11947286 11947288 11948977 11960472 11983935 12028718 12036473 12068426 12072453 12073614 12126384 12135624
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 12153264 12169224 12189696 12204166 12234196 12234292 12234295 12234304 12234306 12234582 12234964 12244907 12244910
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 12247255 12275217 12301732 12311192 12312326 12312478 12312965 12318604 12318769 12320983 12321780 12323553 12342651
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 12354313 12363556 12407592 12433769 12437447 12439593 1245841 12484127 12485569 12493257 12493568 12497914 12499911
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 12586819 12602638 12603213 12616875 12633845 1264157 12653441 12686491 12689676 12702864 12705056 1271740 12728606
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1272995 12746722 12746877 12747573 12754532 1275516 12758025 12758032 12764913 12765952 12766222 12776206 1277997
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 12784333 12798140 12814214 12852259 12867989 12868005 12868147 12868156 12923796 12925321 12936139 12952450 12979908
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 12987608 13029 13035759 13037275 13052744 13075265 13086515 13093800 13093813 13110456 13110479 13116704 13118291
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13124949 13129738 13145965 13145976 13166560 13166561 13184860 13185731 13186039 13193819 13197373 13198325 13282515
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13283345 13289257 13318035 13318627 13323960 1332693 13338038 13363821 13404512 13411879 13414302 1343363 13452342
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13452352 13452584 13452597 13460827 13460959 13474328 1347611 1348063 1348294 1349346 13504284 13514083 13514093
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13517712 1352886 13541427 13559578 13560458 13561013 13567044 13567619 13575250 13608943 13611913 13634263 13655268
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13655279 13657326 13658415 13672623 13672949 1367745 13678282 13682499 13684361 13691265 1369356 13699308 13699346
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13711425 13713475 13721840 13721963 13730380 13732371 13753906 13773799 13774853 13788268 13789270 13791147 13791159
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13796020 13797239 13797252 13800818 13805515 13806091 13806971 13812064 13812072 13812143 13812454 13837585 13837588
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13837592 13839938 13859851 13859865 13859921 13859924 13860285 13860290 1389814 13931351 13942011 1395474 13957856
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 13988206 13991067 13993430 13993732 13998237 14003266 14011461 14012321 14016763 14073563 14075710 14123099 14130247
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14133634 14136242 14143312 14160644 14167340 14185428 14197856 14225067 14225122 14230709 14230714 1423492 14239586
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14247787 1424902 14250495 14255996 14256004 14258995 14265208 14274828 14304924 14312294 14321337 14322644 14322892
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14323830 14323944 14325695 14326741 14338321 14338334 14338336 14348287 14351186 14356801 14364698 14374188 14388026
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14388493 14405776 14414045 14426437 14427095 14428257 14433238 14443049 14448774 14451712 14455590 14461063 14469167
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14500979 14508100 14531754 14532826 14535607 14535704 14537151 14537155 14541162 14549133 14551503 14568253 14575368
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14590517 14596774 14623584 14632478 14632946 14650796 14652373 14652981 14653160 14653623 14661585 14668562 14673410
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14674121 14674928 14675023 14678279 14679473 14698574 14699352 14714250 14714918 14716820 14717504 14718127 14725416
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14746646 14747465 14749441 14749448 14751750 14752255 14754813 14755738 14762152 14762801 14762812 14767756 14769003
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14769554 14769979 14770996 14771895 14773259 14775474 14776960 14795814 14803137 14803727 14804830 14809336 14814978
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14814994 14820419 14822761 14822790 14824086 14824506 14849149 14852817 14864097 14869405 14869441 14901412 14903018
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14903728 14903729 14903737 14905817 14917693 14918311 14925090 14926765 14927193 14927215 14927355 14949894 14950422
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 14954340 14955728 14956207 14956809 14960420 14962617 14967440 14996181 15004853 15010356 15015311 15019458 15019553
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15024419 15025103 15044262 15049537 15049538 15049559 15060685 15062201 15062450 15067098 15067115 15069251 15075777
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15081366 15083030 15105621 15108766 15109175 15111557 15125426 15125429 15126451 15126471 15135161 15139447 15159145
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15159419 15160532 15160539 15160546 15162422 15166060 15171192 1517488 15176325 15178657 15182929 15183043 15183235
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15183241 15185272 15185287 15203405 15205362 15208807 15211844 15216300 15221995 15236327 15236628 15237587 15242358
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15250420 15260631 15260974 15276139 15277896 15278005 15278019 15279955 15284703 15298914 15299122 15320007 15320480
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15320482 15321730 15322173 15322178 15322187 15322223 15323030 15323070 15324905 15325633 15327984 15329489 15329493
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15330039 15331896 15333853 15333856 15336447 15338467 15338633 15339831 15342026 15342163 15346271 15347103 15347281
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15347620 15348067 15352074 15353982 15360566 15365349 15367723 15368145 15369001 15373304 15373435 15378172 15379111
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15379112 15379115 15379883 15385865 15388428 15392767 15393252 15397817 15404505 15420639 15424604 15426094 15426723
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15426747 15427173 15427722 15427959 15428667 15432542 15432546 15435202 15440167 15442860 15446509 15451676 15476108
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15478601 15486178 15488829 15489004 15489138 15489158 15491562 1549207 15493520 15496806 15497454 15499781 15500534
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15501536 15504855 15509684 15512761 15517280 15517419 15517989 15528626 15528825 15529865 15529954 15530422 15539511
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15539518 15541294 15542041 15544256 15545301 15547928 15553789 15557271 15558578 15559354 15559699 15560679 15561044
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15562999 15564234 15564893 15565267 15565284 15565287 15566516 15567082 15568477 15568490 15569203 15570208 15570311
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15576265 15589729 15596521 15598381 15611074 15620941 15620951 15622046 15624897 15624901 15628765 15629738 15630796
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15632521 15632522 15638807 15657955 15658838 15661566 15666489 15666862 15667412 15667895 15668259 15671191 15675220
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15677813 15681781 15682625 15685543 15701460 15718848 15721937 15723522 15740326 15746879 15749578 1575299 1576848
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15785808 15787588 15791317 15803696 15807606 15812234 15831180 15842910 15844901 15844907 15857955 15868674 15869322
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15874907 15876782 15880176 15880178 15888902 15896289 15896307 15899012 15924407 15930469 15933012 15933816 15934443
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 15935047 15942970 15945155 15950305 15962461 15967390 15983732 15991851 16001849 16017074 16035531 16052475 16062754
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16063914 16068435 16074013 16074017 16074026 16074031 16086386 1609031 16121227 16128259 16128263 16128281 16129619
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16133276 16133418 16142184 16143291 16144451 16146574 16155260 16158628 16163395 16164001 16164478 16165887 16165901
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16173454 16174011 16174012 16174555 16187352 16189477 16189490 16189491 16189492 16189668 16189920 16192163 16192705
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16194308 16194314 16203653 16209560 16220431 16221 16231981 16232448 16232451 16234931 16234952 16236119 16237919
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16246037 16254688 16256020 16260762 16270266 16271345 16291699 16299476 16325952 16325968 16325969 16326164 16331577
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16365150 16399398 16406706 16408648 16416816 16420076 16420089 16420213 16420220 16420829 16420834 16420835 16426648
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16430356 16451567 16460800 16461234 16476588 16484581 16492171 16492480 16493143 16499773 16502586 16502593 16502776
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16502782 1650823 16510096 16510100 16510104 16520187 16520193 16520902 16520924 16521185 16555420 16555707 16555901
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16556394 16574646 16576953 16579970 16580250 16580610 16583426 16586615 16590445 16596017 16596053 16596060 16596064
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16596246 16596498 16596619 16596873 16600323 16600571 16600726 16600736 16600755 16600878 16601593 16601602 16601608
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16616055 16619913 16620129 16622383 16637469 16648452 16649091 16664052 16671723 16674741 16695577 16709861 16715314
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16733613 16761534 16763321 16788956 16807821 16807829 16808081 16808411 16808428 16809552 16815399 16815402 16816203
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 16829818 16829825 16830030 16830604 16844755 16854856 16857362 16862779 1688353 16898563 16898567 16957874 16960069
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1699337 17065653 17069507 1708663 1710672 17116160 17119165 17119569 17166998 17177468 17195583 17234648 17279731
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 17310601 17351670 17351683 17351856 17351859 17351863 17351944 1738655 17410035 1741838 17421165 17438440
## 1 1 1 1 1 1 1 1 1 1 1 1
## [ reached getOption("max.print") -- omitted 999 entries ]
## [1] "Frequency table after encoding"
## student_id.
## 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470
## 1 1 1 1 1 1 1 1 1 1 1
## [ reached getOption("max.print") -- omitted 999 entries ]
# !!! No Direct PII-team
# !!!Include relevant variables, but check their population size first to confirm they are <100,000
locvars <- c("codlocal","cod_mod")
mydata <- encode_location (variables= locvars, missing=999999)
## [1] "Frequency table before encoding"
## codlocal.
## 139511 139648 139766 139785 139846 139870 139889 139907 139926 139988 140034 140109 140171 140190 140246 140251
## 1 2 2 9 7 2 1 2 2 7 3 3 7 6 1 2
## 140270 140289 140294 140500 141081 142491 142523 142561 142603 143400 143457 143462 143693 143711 143725 143730
## 2 1 2 2 1 12 3 16 6 1 8 6 4 2 1 1
## 143754 144584 144621 144635 144683 144697 144701 144777 144800 144824 144980 145140 288030 288073 288092 288110
## 3 2 1 3 4 6 10 5 8 1 1 13 1 2 1 3
## 288153 288167 288191 288214 288228 288233 288247 288271 288332 288394 288431 288445 288450 288469 288474 288488
## 5 1 1 3 4 2 1 2 7 1 11 3 1 1 4 2
## 288493 288539 288544 288676 288935 289652 291278 291283 291297 291315 291396 291570 291631 291706 291711 291730
## 5 2 4 2 1 1 1 1 9 4 1 1 1 8 1 4
## 291810 291848 291853 291914 291933 291985 292013 292089 292094 292126 292150 292188 292193 292254 292268 292273
## 5 8 5 6 7 10 5 1 4 2 4 2 2 3 2 2
## 292329 292348 292367 292452 292471 292490 292517 292541 292579 293201 295059 295097 295139 295573 295605 295648
## 1 2 1 2 1 1 2 4 2 1 1 1 5 1 1 2
## 295653 295747 295752 296129 296780 296799 296803 296822 296841 296855 296879 296884 296898 296902 296921 296978
## 1 8 1 1 2 4 3 5 6 2 3 3 1 2 1 9
## 296983 297416 298053 298067 298086 298091 298114 298779 298784 298798 298802 298816 298821 298897 298915 298920
## 5 1 2 1 1 1 4 1 1 1 3 2 6 2 16 9
## 298944 299024 299062 299076 299081 299793 300249 300763 301258 301277 301282 301296 301338 301376 301404 301442
## 3 7 3 4 1 1 1 14 3 3 1 5 5 8 6 2
## 301456 301461 301550 301574 301611 301625 301649 301673 301687 301692 301705 301729 301753 301772 301786 301791
## 3 2 2 6 2 17 3 3 1 1 1 5 1 11 4 6
## 301809 301814 301828 301833 301847 301852 301866 301871 301885 301890 301908 301913 301927 301932 302984 303035
## 9 1 7 7 2 12 1 1 3 1 2 2 3 21 1 1
## 303733 304266 304799 304916 304935 304940 304978 304997 305020 305044 305077 305082 305096 305124 305572 305826
## 1 3 4 12 3 2 6 1 2 6 1 5 3 6 1 6
## 305845 305850 305893 305911 305930 305954 305973 306005 306166 306661 306675 306717 306736 307477 307514 308684
## 5 2 4 2 3 1 2 4 1 11 2 6 2 1 8 4
## 308797 308801 308839 308900 308943 308962 309773 310045 310050 310069 310093 310875 310899 310960 310979 310984
## 3 1 3 1 7 1 1 1 3 1 2 3 6 4 3 2
## 310998 311035 311064 311097 311101 311163 311200 311219 311224 311238 311785 313652 313708 313765 313845 313850
## 4 3 2 11 1 1 6 3 4 3 1 2 5 9 3 1
## 314034 314048 314067 314091 314114 314152 314213 314227 314637 314958 315000 315019 315043 315284 315302 315316
## 1 1 2 2 4 1 12 2 1 1 7 3 2 4 1 4
## 315321 315401 315910 315948 315953 315972 316641 316679 319017 319084 319102 319116 319121 319159 319263 319282
## 1 7 3 2 4 3 19 4 2 10 1 5 6 5 8 6
## 319319 319324 319338 319362 319381 319404 320087 320426 320596 320600 320619 320643 320662 320695 320704 320775
## 2 1 1 2 4 2 1 12 4 4 13 1 1 5 4 6
## 320822 320841 320855 320860 320879 321143 321195 321869 321874 321888 321893 322982 323000 324405 324429 324491
## 6 2 4 7 2 1 1 5 3 3 6 11 1 8 33 2
## 324523 324537 324542 324561 324575 324599 324641 324679 324698 324702 324716 324740 324764 324778 324844 324877
## 7 2 1 12 4 1 5 2 2 8 3 16 9 1 13 10
## 324882 324900 324919 324943 324957 325141 325155 325202 325235 325259 325264 325297 325301 325396 325419 325438
## 12 3 7 12 2 2 6 2 1 5 3 3 3 12 4 20
## 325508 326720 327772 328984 329304 329337 329484 329549 329610 329667 329728 329747 329790 329813 329889 329950
## 12 1 1 1 2 6 8 10 1 5 2 3 14 1 5 1
## 329969 329974 329993 330722 330920 332151 332170 332976 332995 333037 333056 333061 333075 333103 333117 333136
## 10 4 1 1 1 1 1 8 6 1 2 6 1 4 10 1
## 333221 333235 333240 333297 333377 333382 333396 333400 333424 333443 333457 333462 333481 333513 333551 333565
## 2 5 2 8 5 4 2 10 10 4 3 3 5 10 7 1
## 333570 333589 333594 333650 333674 333688 334715 335885 336371 336903 337436 337441 337455 337460 338718 338723
## 5 2 2 5 1 3 1 1 1 1 4 1 4 6 13 1
## 338817 338841 338884 340189 340231 340274 340288 340325 342843 342923 342956 342999 343753 343767 343772 343786
## 9 7 4 2 2 1 2 7 2 3 3 2 16 7 11 6
## 343791 343814 343828 343885 344007 344088 344130 344168 344413 345403 345832 346493 346544 346563 346582 346638
## 2 8 7 8 2 6 4 1 1 1 1 3 1 3 3 1
## 346657 346695 346704 346718 346756 346817 346836 346841 346855 346860 346879 346884 346997 347195 348411 504760
## 1 13 3 1 7 10 6 2 2 9 19 3 1 1 5 1
## 507301 513788 517946 519691 524032 525442 526328 526880 534347 539298 541692 545497 549103 549264 552893 570745
## 2 1 1 2 1 1 4 1 1 4 1 1 1 1 1 3
## 571311 572396 573032 574705 580283 585780 589698 591333 594044 594138 594464 594478 594690 595623 608461 611717
## 2 1 1 1 6 1 1 1 1 4 2 1 1 1 1 4
## 612236 627799 686699 687383 694208 702604 705235 708535 710133 711905 711967 713546 713773 715055 718426 720820
## 1 1 4 9 2 1 1 1 1 1 1 10 2 1 4 1
## 721527 721773 722112 723611 724253 783493
## 1 10 3 1 1 1
## [1] "Frequency table after encoding"
## codlocal.
## 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910
## 3 2 1 1 3 4 2 1 12 1 6 2 5 3 1 3 1 7 2 2 10 4 7
## 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933
## 2 3 3 1 7 1 3 2 3 3 5 7 1 2 1 1 5 2 8 9 9 3 3
## 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956
## 1 1 2 6 12 1 12 12 4 3 12 1 3 1 3 3 1 1 4 7 2 3 3
## 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979
## 1 2 4 1 5 6 2 1 6 13 1 3 4 4 2 2 1 1 1 9 1 3 2
## 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002
## 2 5 1 1 8 1 1 8 9 1 1 1 1 4 2 4 11 2 2 2 21 1 7
## 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025
## 1 4 1 14 4 1 7 4 8 7 16 2 1 2 4 1 5 12 1 6 2 10 1
## 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048
## 3 4 1 1 1 3 2 1 2 2 12 5 20 4 2 2 2 2 3 2 1 4 2
## 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071
## 1 2 2 7 1 10 1 1 2 19 2 1 16 8 6 1 2 1 8 1 2 5 1
## 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094
## 1 1 17 11 1 5 1 3 4 1 1 1 16 5 1 1 7 1 6 3 7 1 7
## 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117
## 5 2 8 19 2 7 3 16 1 8 1 2 2 1 5 4 3 2 4 2 1 2 6
## 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140
## 2 12 4 4 6 1 4 1 2 1 6 2 7 4 1 3 1 4 7 2 1 2 1
## 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163
## 1 1 2 6 5 1 10 1 6 2 1 3 4 4 13 8 1 3 4 3 3 11 6
## 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186
## 5 1 2 3 3 1 1 1 3 7 7 9 5 2 1 9 4 1 7 7 6 5 4
## 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209
## 3 1 1 2 5 10 1 3 6 5 3 3 1 6 3 1 1 14 6 1 1 1 3
## 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232
## 4 2 5 5 1 10 1 3 12 1 2 3 1 5 1 6 2 8 4 2 5 2 3
## 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255
## 1 2 1 1 13 1 3 10 1 1 1 33 5 2 13 2 1 3 1 3 5 1 8
## 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278
## 4 2 6 1 10 6 1 1 1 3 6 6 9 2 3 12 6 4 3 1 9 1 4
## 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301
## 1 1 1 1 1 5 10 2 1 1 3 3 1 1 1 6 2 8 6 2 2 1 1
## 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324
## 1 1 1 1 2 1 1 1 3 2 2 2 1 3 1 10 9 1 2 4 6 1 2
## 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347
## 2 5 4 4 5 1 1 1 1 4 3 8 1 2 2 1 10 7 1 1 4 4 6
## 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370
## 2 2 11 8 1 8 2 1 1 2 6 1 4 4 9 1 1 1 1 1 10 2 1
## 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393
## 11 5 2 6 10 6 4 5 1 2 1 2 2 3 1 3 1 2 11 1 13 2 4
## 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405
## 1 3 4 2 1 1 6 2 1 4 4 3
## [1] "Frequency table before encoding"
## cod_mod.
## 207795 207985 208058 208348 208538 208546 208561 208587 208736 209304 209510 209528 209536 209908
## 2 2 4 2 4 2 7 1 6 3 2 1 6 15
## 209916 209924 209940 209965 209973 210260 215632 245647 245662 245670 245688 245696 305656 314500
## 1 3 6 6 3 2 8 3 7 7 11 1 1 2
## 317131 317214 317289 317305 317313 317370 317453 317479 317560 317610 317941 318063 318089 318287
## 5 2 2 1 4 1 2 2 4 1 1 4 4 1
## 318352 318741 318782 318949 319020 319061 319145 319160 319285 320655 322453 322479 322685 322974
## 3 3 1 1 1 1 2 1 4 1 3 16 2 3
## 323378 325449 325464 325472 325480 325498 325548 325555 325589 325605 325613 325647 325670 325704
## 14 7 2 17 1 1 1 2 2 2 2 9 7 3
## 327650 328039 328047 328260 328401 328443 328484 328518 328526 329029 329128 329151 329243 329573
## 3 3 3 2 1 2 1 5 5 3 1 1 1 10
## 329755 329805 333666 333690 334094 334649 334656 334664 334672 334680 334706 334714 334722 334748
## 10 3 3 3 1 4 1 8 6 1 10 1 1 10
## 334847 334920 334987 335042 335091 335224 336495 336537 336545 336586 336594 336610 336628 336636
## 1 1 8 4 15 1 2 4 3 5 2 3 5 5
## 337436 337568 337592 337733 337741 337766 338228 338301 338343 338517 338640 338665 338848 339051
## 2 5 4 4 1 1 2 4 2 6 4 3 1 7
## 339317 339432 339499 339606 339804 340224 340281 340299 340315 340349 340372 340398 340414 340422
## 1 1 1 6 1 10 1 1 4 5 2 1 2 2
## 340448 343566 433227 433235 433276 433490 433540 433680 433821 433961 434019 434076 434191 434282
## 1 2 5 2 5 6 4 6 8 4 4 2 3 3
## 434464 434480 434498 434506 434548 434597 434829 436170 436212 436287 436303 436360 436444 436451
## 3 3 4 2 3 2 4 1 8 1 2 5 5 6
## 436493 436543 436584 436634 436642 436725 436766 437210 437228 437236 437244 437251 437269 437277
## 5 2 1 4 1 3 6 7 21 10 13 1 2 12
## 437285 437335 437350 437400 437525 437707 437715 437723 437731 437749 449868 468488 469205 469700
## 5 6 6 7 1 3 6 2 3 1 3 2 2 1
## 481853 481903 482042 482091 488619 488635 493239 495259 495812 496166 496844 497024 499699 500124
## 6 8 1 6 10 1 1 3 4 4 3 3 19 1
## 500348 501411 502435 502633 505149 508903 510305 510800 513614 516674 519645 520486 521179 522318
## 7 2 2 10 1 5 1 1 2 3 3 4 4 2
## 522862 523423 523464 523621 523662 523761 526301 528380 534321 535823 536029 536128 536151 536326
## 2 2 3 2 1 5 3 4 1 4 1 1 1 3
## 546002 555847 555862 555946 556266 556357 556472 556548 556571 565119 565143 565200 565267 566141
## 10 1 3 4 2 1 3 2 1 4 2 2 2 15
## 566430 566455 566463 566471 567743 567750 567768 578278 578286 578443 578526 578534 578542 581710
## 4 4 3 3 1 9 1 1 13 2 2 19 8 2
## 581736 581744 581876 581892 581900 581991 582114 582122 582148 582163 582254 582304 582312 582387
## 4 4 5 2 8 4 1 1 1 3 3 4 2 5
## 582411 582890 582932 582981 583088 583328 583567 583591 583922 599159 601492 601708 607424 607556
## 8 2 5 1 7 4 6 16 2 2 2 1 1 5
## 607697 628404 628602 628842 629261 629295 632299 632471 639112 642801 642892 643817 644690 644880
## 1 2 2 3 2 2 3 1 3 3 3 7 1 3
## 649129 649202 649947 650002 650036 652081 659698 659722 659953 662957 663005 663013 663112 663526
## 2 1 6 1 2 1 3 6 4 2 2 1 9 1
## 663534 663542 663559 663682 664292 664490 664508 664698 664748 665265 665489 691931 692434 693499
## 4 7 1 5 1 1 1 10 6 2 8 2 1 12
## 693655 694547 694562 694570 694588 697557 703124 703736 703744 704312 704445 704460 704965 705129
## 2 2 1 1 1 3 3 2 7 2 3 4 1 5
## 705475 705772 725770 725861 728055 728196 732321 732347 732495 739367 743815 743831 744540 744557
## 1 1 7 1 1 4 1 1 7 1 5 4 3 6
## 751230 759399 759555 762120 762468 762856 762864 762906 762914 763151 764076 764134 764779 764936
## 1 6 1 1 3 4 2 9 3 6 2 1 6 2
## 765297 765313 765396 765412 765859 772970 773788 774026 774679 774703 775312 775833 775874 777110
## 7 2 6 4 6 1 1 7 1 1 8 3 3 3
## 777144 777656 777680 778233 778738 778795 779041 779868 780759 780791 781278 781302 781351 781369
## 2 16 18 6 13 9 2 2 1 2 6 9 4 8
## 781385 781831 820407 821082 824003 824813 825752 828962 832279 832287 832303 832311 832337 834853
## 1 3 4 10 1 6 1 1 3 2 4 5 1 2
## 835058 846048 847087 855791 869198 869248 870931 871160 875476 879791 879817 883884 884510 884528
## 7 7 2 2 9 1 4 1 1 11 1 1 1 2
## 884551 884593 884627 885517 900977 901413 901587 1007160 1008440 1008929 1008960 1009844 1033729 1034685
## 3 2 1 1 3 1 1 1 8 2 3 6 2 1
## 1039676 1045111 1045277 1045715 1045798 1046226 1048990 1049493 1053628 1054154 1054196 1054352 1054394 1054436
## 1 4 1 1 10 1 2 1 4 5 1 5 2 2
## 1056902 1063148 1063221 1064989 1066026 1068238 1069954 1070036 1070390 1070481 1072040 1072727 1074301 1080068
## 9 12 3 1 7 6 4 7 6 1 2 2 1 7
## 1080258 1082031 1082874 1083633 1083674 1083716 1084508 1085851 1088400 1099654 1194380 1194810 1195189 1196526
## 5 1 1 1 2 2 4 3 5 1 9 1 10 4
## 1223023 1225549 1238229 1241082 1241454 1247832 1258334 1258649 1261742 1264340 1264670 1266840 1272822 1278662
## 9 1 5 1 1 1 1 3 3 1 1 2 4 1
## 1279363 1309392 1309574 1313444 1330315 1332220 1346675 1349448 1351410 1354091 1360957 1362318 1376870 1381342
## 1 2 8 3 1 2 1 1 2 1 1 1 1 4
## 1381599 1385251 1392893 1401801 1420694 1422666 1423615 1431667 1438027 1438035 1453232 1458850 1464668 1469675
## 8 1 1 1 3 2 1 1 2 4 1 1 1 1
## 1474600 1476258 1476464 1480086 1481514 1481720 1481795 1482975 1483627 1487339 1489822 1492255 1495365 1495407
## 2 2 6 1 1 1 1 1 1 1 1 1 8 5
## 1496314 1497551 1499748 1499961 1501188 1501451 1507276 1509108 1509496 1512789 1513159 1515360 1520279 1520287
## 1 1 1 1 2 9 1 1 2 1 1 1 1 3
## 1528520 1529981 1536994 1541879 1573328 1575323 1661271 1699933 1701002
## 1 1 1 1 1 1 7 1 1
## [1] "Frequency table after encoding"
## cod_mod.
## 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283
## 4 2 1 1 3 3 3 4 9 2 3 6 1 1 3 5 1 3 5 2 10 1 5 5 1 1 4 1 3
## 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312
## 1 2 5 4 4 1 21 2 1 8 4 1 1 4 3 5 5 3 5 3 8 5 1 1 2 1 9 16 1
## 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341
## 2 1 1 2 2 7 4 3 7 1 6 3 1 3 1 7 6 4 1 1 1 9 1 4 16 11 1 1 4
## 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370
## 1 1 7 5 1 1 1 1 1 2 1 1 2 3 5 1 2 2 5 3 2 1 17 1 2 4 2 5 1
## 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399
## 5 1 9 1 3 6 1 9 1 6 5 3 7 1 1 1 3 3 1 2 4 1 3 1 2 7 1 1 1
## 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428
## 1 1 2 6 3 2 2 6 2 6 4 7 2 9 2 2 10 1 3 6 1 1 1 6 2 1 1 1 5
## 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457
## 3 2 5 10 4 1 2 8 8 1 3 19 1 5 1 1 6 1 2 1 2 1 7 2 4 4 1 19 6
## 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486
## 1 1 1 11 1 3 2 1 2 1 2 8 3 1 1 3 2 5 7 3 7 2 2 4 1 2 7 4 4
## 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515
## 7 4 6 1 2 6 1 2 6 3 3 14 16 1 8 3 8 2 3 3 3 2 1 9 6 1 4 2 2
## 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544
## 2 3 6 2 2 7 1 8 4 6 1 2 4 8 3 2 2 1 4 4 1 4 3 2 2 1 2 8 2
## 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573
## 1 3 1 2 1 1 9 6 8 3 1 15 3 10 8 3 13 2 3 5 2 10 3 2 8 13 3 2 7
## 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602
## 4 7 1 3 3 1 1 1 2 7 1 2 4 1 1 1 6 2 1 1 2 1 4 1 3 3 3 1 3
## 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631
## 3 3 4 1 7 2 15 2 2 1 1 2 1 2 5 1 4 1 1 4 1 5 4 2 1 2 1 1 2
## 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660
## 4 6 2 4 1 9 1 1 1 1 1 5 3 10 3 2 1 3 1 1 3 1 1 1 3 10 4 1 1
## 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689
## 1 1 1 3 7 12 2 3 1 1 3 2 4 4 4 3 4 1 1 4 5 6 10 1 1 1 1 2 10
## 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718
## 1 2 12 1 1 15 3 10 5 2 2 1 2 1 13 4 6 12 5 3 2 4 3 2 2 1 7 4 8
## 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747
## 1 7 1 2 1 4 5 10 2 1 1 4 6 1 1 2 2 1 7 2 1 10 4 1 6 1 1 6 3
## 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776
## 7 6 9 3 9 1 2 6 4 1 2 3 4 4 8 2 3 1 2 7 1 1 6 1 6 8 2 1 2
## 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805
## 1 1 2 5 3 2 1 2 1 18 2 1 1 1 2 1 5 1 1 1 1 2 2 1 1 3 4 2 2
## 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823
## 6 6 1 4 1 2 1 1 1 2 4 6 5 2 10 4 1 2
# !!! No Indirect PII- Ordinal
# !!!Include relevant variables in list below (Indirect PII - Categorical, and Ordinal if not processed yet)
indirect_PII <- c("genero")
capture_tables (indirect_PII)
# Recode those with very specific values.
# !!! No Indirect PII- Categorical variables with very specific values.
# selected categorical key variables: gender, occupation/education and age
selectedKeyVars = c('genero', 'grado') ##!!! Replace with candidate categorical demo vars
# creating the sdcMicro object with the assigned variables
sdcInitial <- createSdcObj(dat = mydata, keyVars = selectedKeyVars)
sdcInitial
## The input dataset consists of 1999 rows and 217 variables.
## --> Categorical key variables: genero, grado
## ----------------------------------------------------------------------
## Information on categorical key variables:
##
## Reported is the number, mean size and size of the smallest category >0 for recoded variables.
## In parenthesis, the same statistics are shown for the unmodified data.
## Note: NA (missings) are counted as seperate categories!
## Key Variable Number of categories Mean size Size of smallest (>0)
## genero 2 (2) 999.500 (999.500) 998 (998)
## grado 8 (8) 249.875 (249.875) 1 (1)
## ----------------------------------------------------------------------
## Infos on 2/3-Anonymity:
##
## Number of observations violating
## - 2-anonymity: 3 (0.150%)
## - 3-anonymity: 3 (0.150%)
## - 5-anonymity: 3 (0.150%)
##
## ----------------------------------------------------------------------
Show values of key variable of records that violate k-anonymity
mydata <- labelDataset(mydata)
notAnon <- sdcInitial@risk$individual[,2] < 2 # for 2-anonymity
mydata[notAnon,selectedKeyVars]
## # A tibble: 3 x 2
## genero grado
## <chr> <dbl>
## 1 masculino 5
## 2 femenino 5
## 3 masculino 7
sdcFinal <- localSuppression(sdcInitial)
# Recombining anonymized variables
extractManipData(sdcFinal)[notAnon,selectedKeyVars] # manipulated variables HH
## genero grado
## 296 masculino NA
## 347 femenino NA
## 1725 masculino NA
mydata [notAnon,"genero"] <- NA
sdcInitial <- createSdcObj(dat = mydata, keyVars = selectedKeyVars)
sdcInitial
## The input dataset consists of 1999 rows and 217 variables.
## --> Categorical key variables: genero, grado
## ----------------------------------------------------------------------
## Information on categorical key variables:
##
## Reported is the number, mean size and size of the smallest category >0 for recoded variables.
## In parenthesis, the same statistics are shown for the unmodified data.
## Note: NA (missings) are counted as seperate categories!
## Key Variable Number of categories Mean size Size of smallest (>0)
## genero 3 (3) 998.000 (998.000) 997 (997)
## grado 8 (8) 249.875 (249.875) 1 (1)
## ----------------------------------------------------------------------
## Infos on 2/3-Anonymity:
##
## Number of observations violating
## - 2-anonymity: 1 (0.050%)
## - 3-anonymity: 3 (0.150%)
## - 5-anonymity: 3 (0.150%)
##
## ----------------------------------------------------------------------
# !!! Identify open-end variables here:
open_ends <- c("s_ave_finance_2a")
report_open (list_open_ends = open_ends)
# Review "verbatims.csv". Identify variables to be deleted or redacted and their row number
mydata <- mydata[!names(mydata) %in% "s_ave_finance_2a"]
# !!! No GPS data
haven::write_dta(mydata, paste0(filename, "_PU.dta"))
haven::write_sav(mydata, paste0(filename, "_PU.sav"))
# Add report title dynamically
title_var <- paste0("DOL-ILAB SDC - ", filename)