├── ANOVA_PerformanceMGMT.csv ├── Aft_Monday_Week1.csv ├── Aft_Tuesday_Week1.csv ├── Aft_Wednesday_Week1.csv ├── ApplicantData.csv ├── Baseline.csv ├── CData.csv ├── ChiSquareTurnover.csv ├── ConcurrentValidation.csv ├── DataCleaningExample.csv ├── Descriptive Statistics.csv ├── DiffPred.csv ├── DifferentialPrediction.csv ├── DisparateImpact.csv ├── EmployeeDemographics.csv ├── EmployeeSurveyData.csv ├── EmployeeSurveyExample.csv ├── Eve_Monday_Week1.csv ├── Eve_Tuesday_Week1.csv ├── Eve_Wednesday_Week1.csv ├── Headcount.csv ├── KruskalWallis.csv ├── LICENSE ├── MMR.csv ├── ManipulatingData.csv ├── MarketPayLine.csv ├── MarketSurveyData.csv ├── Morn_Monday_Week1.csv ├── Morn_Monday_Week1.xlsx ├── Morn_Tuesday_Week1.csv ├── Morn_Wednesday_Week1.csv ├── NewApplicants.csv ├── Nonlinear.csv ├── PData.csv ├── PayDeterminants.csv ├── PayEquity.csv ├── PerfData.csv ├── PerfMgmtRewardSystemsExample.csv ├── PerformanceData.csv ├── PersData.csv ├── PersData_Excel.xlsx ├── PersonalData.csv ├── PlannedBehavior.csv ├── PredictiveAnalytics.csv ├── PulseSurvey.csv ├── PyramidPopulation.csv ├── README.md ├── Regression.csv ├── SHRM Discussion Board.csv ├── Sample1.csv ├── Sample2.csv ├── SelectionData.csv ├── SelectionExercise.csv ├── Spearman.csv ├── Survival.csv ├── TrainingEval_inclass.csv ├── TrainingEvaluation_PostControl.csv ├── TrainingEvaluation_PrePostControl.csv ├── TrainingEvaluation_PrePostOnly.csv ├── TrainingEvaluation_ThreeGroupPost.csv ├── Turnover.csv ├── WilcoxonRankSum.csv ├── WilcoxonSignedRank.csv ├── angoff_applicant.csv ├── angoff_sme.csv ├── app.R ├── cfa.csv ├── employee_demo.csv ├── lasso.csv ├── lgm.csv ├── sem.csv ├── survey.csv └── turnover_rate.csv /ANOVA_PerformanceMGMT.csv: -------------------------------------------------------------------------------- 1 | race,performance 2 | Asian,3.99 3 | Asian,2.69 4 | Asian,3.58 5 | Asian,5 6 | Asian,2.18 7 | Asian,4.6 8 | Asian,4.62 9 | Asian,3.59 10 | Asian,2.74 11 | Asian,4.35 12 | Asian,5 13 | Asian,4.45 14 | Asian,4.22 15 | Asian,4.9 16 | Asian,3.34 17 | Asian,4.21 18 | Asian,5 19 | Asian,2.53 20 | Asian,2.88 21 | Asian,4.73 22 | Asian,4.76 23 | Asian,3.86 24 | Asian,5 25 | Asian,2.68 26 | Asian,2.34 27 | Asian,4.03 28 | Asian,4.47 29 | Asian,3.62 30 | Asian,4.19 31 | Asian,4.52 32 | Asian,5 33 | Asian,5 34 | Asian,5 35 | Asian,4.9 36 | Asian,4 37 | Asian,4.34 38 | Asian,3.23 39 | Asian,5 40 | Asian,2.04 41 | Asian,3.59 42 | Asian,3.65 43 | Asian,4.44 44 | Asian,3.87 45 | Asian,3.96 46 | Asian,2.69 47 | Asian,4.53 48 | Asian,3.06 49 | Asian,5 50 | Asian,5 51 | Asian,5 52 | Asian,4.57 53 | Asian,3.9 54 | Asian,3.35 55 | Asian,5 56 | Asian,3.61 57 | Asian,2.27 58 | Asian,3.95 59 | Asian,4.08 60 | Asian,4.89 61 | Asian,4.43 62 | Asian,5 63 | Asian,4.37 64 | Asian,3.47 65 | Asian,4.33 66 | Asian,4.56 67 | Asian,3.42 68 | Black,3.14 69 | Black,3.57 70 | Black,2.2 71 | Black,4.71 72 | Black,3.99 73 | Black,2.54 74 | Black,3.51 75 | Black,4.62 76 | Black,3.57 77 | Black,2.46 78 | Black,3.94 79 | Black,4.57 80 | Black,2.21 81 | Black,2.87 82 | Black,4.06 83 | Black,2.41 84 | Black,1.26 85 | Black,3.46 86 | Black,1.76 87 | Black,3.48 88 | Black,3.4 89 | Black,4.15 90 | Black,1.47 91 | Black,5 92 | Black,4.59 93 | Black,3.63 94 | Black,4.23 95 | Black,2.86 96 | Black,3.35 97 | Black,3.59 98 | Black,3.01 99 | Black,2.15 100 | Black,3.73 101 | Black,3.21 102 | Black,4.82 103 | Black,4.38 104 | Black,4.34 105 | Black,3.46 106 | Black,1.48 107 | Black,4.43 108 | Black,3.52 109 | Black,5 110 | Black,4.9 111 | Black,4.22 112 | Black,2.45 113 | White,3.22 114 | White,4.86 115 | White,2.07 116 | White,2.84 117 | White,5 118 | White,4.64 119 | White,3.61 120 | White,3.38 121 | White,5 122 | White,1.35 123 | White,4.22 124 | White,1.55 125 | White,3.51 126 | White,5 127 | White,2.87 128 | White,5 129 | White,1.56 130 | White,2.4 131 | White,4.03 132 | White,2.32 133 | White,4.57 134 | White,2.72 135 | White,2.89 136 | White,2.35 137 | White,2.44 138 | White,4.18 139 | White,4.09 140 | White,4.32 141 | White,3.84 142 | White,4.01 143 | White,4.99 144 | White,4.96 145 | White,3.18 146 | White,3.16 147 | White,3.01 148 | White,2.46 149 | White,3.67 150 | White,2.71 151 | White,3.79 152 | White,1.62 153 | White,4.13 154 | White,3.36 155 | White,3.19 156 | White,2.44 157 | White,1.23 158 | White,3.33 159 | White,4.99 160 | White,4.94 161 | White,2.45 162 | White,3.21 163 | White,4.27 164 | -------------------------------------------------------------------------------- /Aft_Monday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,A_var1,A_var2,A_var3 2 | 1,3/16/2020,6,8,6 3 | 2,3/16/2020,8,8,8 4 | 3,3/16/2020,5,6,7 5 | 4,3/16/2020,9,10,9 6 | 5,3/16/2020,1,4,2 7 | 6,3/16/2020,2,10,4 8 | 7,3/16/2020,1,8,9 9 | 8,3/16/2020,8,9,9 10 | 9,3/16/2020,8,5,4 11 | 10,3/16/2020,6,2,1 12 | -------------------------------------------------------------------------------- /Aft_Tuesday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,A_var1,A_var2,A_var3 2 | 1,3/17/2020,1,1,10 3 | 2,3/17/2020,8,4,2 4 | 3,3/17/2020,6,1,5 5 | 4,3/17/2020,3,2,8 6 | 5,3/17/2020,10,6,3 7 | 6,3/17/2020,2,5,7 8 | 7,3/17/2020,7,9,7 9 | 8,3/17/2020,1,5,7 10 | 9,3/17/2020,8,8,5 11 | 10,3/17/2020,8,1,1 12 | -------------------------------------------------------------------------------- /Aft_Wednesday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,A_var1,A_var2,A_var3 2 | 1,3/18/2020,10,9,4 3 | 2,3/18/2020,2,1,8 4 | 3,3/18/2020,3,1,1 5 | 4,3/18/2020,7,8,9 6 | 5,3/18/2020,5,7,9 7 | 6,3/18/2020,6,6,7 8 | 7,3/18/2020,4,10,6 9 | 8,3/18/2020,9,4,6 10 | 9,3/18/2020,2,2,9 11 | 10,3/18/2020,6,1,5 12 | -------------------------------------------------------------------------------- /ApplicantData.csv: -------------------------------------------------------------------------------- 1 | ApplicantID,Conscientiousness,Interview 2 | AA1,4.3,4.1 3 | AA2,3.1,4.9 4 | AA3,1.1,2.5 5 | AA4,1,3.3 6 | AA5,2.4,4.4 7 | AA6,2.9,3.3 8 | AA7,4.4,5 9 | AA8,4.9,4.5 10 | AA9,3.9,4.2 11 | AA10,4.7,4.6 12 | -------------------------------------------------------------------------------- /Baseline.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,B_var1,B_var2,B_var3,B_var4,B_var5 2 | 1,6,8,6,8,6 3 | 2,8,8,8,8,8 4 | 3,5,6,7,6,7 5 | 4,9,10,9,10,9 6 | 5,1,4,2,4,2 7 | 6,2,10,4,10,4 8 | 7,1,8,9,8,9 9 | 8,8,9,9,9,9 10 | 9,8,5,4,5,4 11 | 10,6,2,1,2,1 12 | -------------------------------------------------------------------------------- /CData.csv: -------------------------------------------------------------------------------- 1 | EmployeeID,BaseAnnualPay2016,VariablePay2016 2 | 1001,43837,12777 3 | 1002,42873,13453 4 | 1003,42414,12553 5 | 1004,42398,12300 6 | 1005,43253,13217 7 | 1006,44038,12729 8 | 1007,43075,12354 9 | 1008,42581,13470 10 | 1009,43452,12977 11 | 1010,42221,13077 12 | 1011,42267,12932 13 | 1012,42550,13249 14 | 1013,43242,12560 15 | 1014,42749,13302 16 | 1015,42148,12217 17 | 1016,43521,12822 18 | 1017,42165,13268 19 | 1018,43513,12407 20 | 1019,42355,12967 21 | 1020,43150,13547 22 | 1021,40828,12044 23 | 1022,42274,12675 24 | 1023,42418,13139 25 | 1024,42959,12215 26 | 1025,42576,12383 27 | 1026,43055,12252 28 | 1027,43650,12348 29 | 1028,41473,12356 30 | 1029,42524,11448 31 | 1030,42545,12907 32 | 1031,44098,13023 33 | 1032,44184,12604 34 | 1033,42356,12815 35 | 1034,42720,12734 36 | 1035,43547,12848 37 | 1036,42586,11973 38 | 1037,43656,12661 39 | 1038,42917,13424 40 | 1039,43047,12490 41 | 1040,44031,13868 42 | 1041,41849,12718 43 | 1042,42162,12668 44 | 1043,41784,12960 45 | 1044,42465,12972 46 | 1045,43060,13421 47 | 1046,42717,12856 48 | 1047,41822,11320 49 | 1048,42268,12630 50 | 1049,43481,12692 51 | 1050,43539,12247 52 | 1051,42968,12736 53 | 1052,44108,12918 54 | 1053,43946,12912 55 | 1054,42714,13108 56 | 1055,43312,13209 57 | 1056,41727,13116 58 | 1057,43368,13470 59 | 1058,42833,13548 60 | 1059,44943,12714 61 | 1060,42444,12993 62 | 1061,42405,12944 63 | 1062,42565,12796 64 | 1063,42931,12557 65 | 1064,41362,12457 66 | 1065,42221,12338 67 | 1066,42607,12106 68 | 1067,43042,13346 69 | 1068,43875,13301 70 | 1069,42892,12088 71 | 1070,42675,12135 72 | 1071,42865,12078 73 | 1072,42772,12871 74 | 1073,41744,12420 75 | 1074,42458,13271 76 | 1075,43974,13470 77 | 1076,41485,13255 78 | 1077,44820,13117 79 | 1078,42694,12715 80 | 1079,42812,12640 81 | 1080,42289,12572 82 | 1081,42734,11459 83 | 1082,43067,12625 84 | 1083,41781,13220 85 | 1084,42577,12714 86 | 1085,43296,13703 87 | 1086,43245,12537 88 | 1087,41527,12527 89 | 1088,42856,12990 90 | 1089,44164,11984 91 | 1090,43219,12701 92 | 1091,42723,12943 93 | 1092,43535,13028 94 | 1093,43214,12840 95 | 1094,42153,12893 96 | 1095,42184,13050 97 | 1096,43508,12581 98 | 1097,42061,12299 99 | 1098,41398,12017 100 | 1099,43406,12170 101 | 1100,42531,12661 102 | 1101,43535,13657 103 | 1102,42822,12582 104 | 1103,44812,12849 105 | 1104,42954,13195 106 | 1105,41379,12644 107 | 1106,42170,12413 108 | 1107,43736,13218 109 | 1108,42900,12654 110 | 1109,43848,13131 111 | 1110,44157,13425 112 | 1111,42331,12347 113 | 1112,42035,12732 114 | 1113,41670,12385 115 | 1114,43019,13357 116 | 1115,43414,12168 117 | 1116,42042,13031 118 | 1117,43899,12941 119 | 1118,41810,13283 120 | 1119,41863,13183 121 | 1120,42647,12331 122 | 1121,43441,13034 123 | 1122,41220,12864 124 | 1123,42397,12580 125 | 1124,42728,12950 126 | 1125,42098,12944 127 | 1126,42655,12156 128 | 1127,43627,13237 129 | 1128,43124,11912 130 | 1129,42806,12861 131 | 1130,43035,13190 132 | 1131,40523,12775 133 | 1132,43052,14091 134 | 1133,41075,12414 135 | 1134,43945,13252 136 | 1135,41615,12336 137 | 1136,42977,12921 138 | 1137,42067,12756 139 | 1138,43252,12417 140 | 1139,43386,12608 141 | 1140,42633,12755 142 | 1141,42402,12878 143 | 1142,44076,12923 144 | 1143,43102,12432 145 | 1144,42923,12564 146 | 1145,42745,13006 147 | 1146,42245,12589 148 | 1147,42960,12743 149 | 1148,41269,12105 150 | 1149,42843,12704 151 | 1150,43898,12376 152 | 1151,43424,13286 153 | 1152,42120,12730 154 | 1153,43584,12079 155 | 1154,44035,13113 156 | 1155,42441,12347 157 | 1156,41945,12560 158 | 1157,44195,12538 159 | 1158,43004,12448 160 | 1159,42537,12728 161 | 1160,43164,13822 162 | 1161,44828,12843 163 | 1162,41201,12849 164 | 1163,43485,12771 165 | 1164,43357,12838 166 | 1165,41642,12233 167 | 1166,43172,12361 168 | 1167,42661,13206 169 | 1168,42069,12856 170 | 1169,43230,13810 171 | 1170,42446,12629 172 | 1171,41546,12474 173 | 1172,43651,11765 174 | 1173,42873,12782 175 | 1174,40834,11354 176 | 1175,43084,13052 177 | 1176,41690,12070 178 | 1177,43013,12875 179 | 1178,41159,11889 180 | 1179,42326,12152 181 | 1180,43594,12160 182 | 1181,44083,12960 183 | 1182,43271,13063 184 | 1183,43047,13295 185 | 1184,41694,12763 186 | 1185,44400,11992 187 | 1186,42094,12255 188 | 1187,40430,12847 189 | 1188,42440,12579 190 | 1189,42424,12893 191 | 1190,43520,12682 192 | 1191,43226,11972 193 | 1192,42225,13334 194 | 1193,42764,13117 195 | 1194,42762,13076 196 | 1195,42905,12053 197 | 1196,42063,12301 198 | 1197,41590,12465 199 | 1198,42582,13334 200 | 1199,42146,12010 201 | 1200,41496,11119 202 | 1201,41902,12894 203 | 1202,42251,12025 204 | 1203,43209,11994 205 | 1204,43088,13125 206 | 1205,41323,12893 207 | 1206,42748,12636 208 | 1207,43086,12220 209 | 1208,43578,12253 210 | 1209,43210,12844 211 | 1210,42779,12618 212 | 1211,41001,12899 213 | 1212,42512,13270 214 | 1213,42467,12966 215 | 1214,41648,12691 216 | 1215,42301,12151 217 | 1216,42099,12595 218 | 1217,43756,13690 219 | 1218,44064,13183 220 | 1219,42850,13027 221 | 1220,43908,13284 222 | 1221,43848,12706 223 | 1222,42982,12748 224 | 1223,42901,12794 225 | 1224,44466,12961 226 | 1225,42088,13240 227 | 1226,43874,13324 228 | 1227,41890,12315 229 | 1228,43811,12403 230 | 1229,43220,12374 231 | 1230,43869,13015 232 | 1231,42585,12335 233 | 1232,41851,12864 234 | 1233,41897,12634 235 | 1234,41757,12260 236 | 1235,43236,13201 237 | 1236,43597,13284 238 | 1237,41203,12738 239 | 1238,43956,12133 240 | 1239,43504,12940 241 | 1240,42470,12658 242 | 1241,41534,12878 243 | 1242,43180,13754 244 | 1243,42514,12707 245 | 1244,43538,13317 246 | 1245,43148,11859 247 | 1246,43510,12872 248 | 1247,42156,12592 249 | 1248,42019,13469 250 | 1249,42014,12534 251 | 1250,43360,12110 252 | 1251,43253,12788 253 | 1252,42549,12543 254 | 1253,41953,11806 255 | 1254,43864,13906 256 | 1255,41379,12602 257 | 1256,42280,13083 258 | 1257,42448,12927 259 | 1258,43409,12151 260 | 1259,43223,13287 261 | 1260,42881,12640 262 | 1261,41605,12760 263 | 1262,42795,12353 264 | 1263,43155,13254 265 | 1264,42597,12101 266 | 1265,41029,11823 267 | 1266,43389,12534 268 | 1267,41885,12656 269 | 1268,43147,12734 270 | 1269,42759,13411 271 | 1270,41181,13396 272 | 1271,43030,12305 273 | 1272,43569,12961 274 | 1273,43401,12022 275 | 1274,42953,13051 276 | 1275,41856,12846 277 | 1276,44464,12982 278 | 1277,43711,13113 279 | 1278,42782,12534 280 | 1279,44372,13200 281 | 1280,43549,13450 282 | 1281,41584,12342 283 | 1282,43676,12763 284 | 1283,43143,12494 285 | 1284,43284,12043 286 | 1285,43044,11535 287 | 1286,43668,12878 288 | 1287,40976,12853 289 | 1288,42569,13451 290 | 1289,42226,12967 291 | 1290,43366,13416 292 | 1291,43597,13181 293 | 1292,41567,13050 294 | 1293,42684,12656 295 | 1294,42806,12415 296 | 1295,43844,12240 297 | 1296,42524,13006 298 | 1297,43584,12522 299 | 1298,42020,13195 300 | 1299,42319,12568 301 | 1300,41586,12250 302 | 1301,43744,12649 303 | 1302,42138,12833 304 | 1303,42479,11750 305 | 1304,42281,12509 306 | 1305,43782,13381 307 | 1306,42594,13088 308 | 1307,43514,12864 309 | 1308,42967,12782 310 | 1309,42900,13536 311 | 1310,42003,12520 312 | 1311,42320,11861 313 | 1312,42048,12483 314 | 1313,41739,12545 315 | 1314,41806,12520 316 | 1315,40890,12964 317 | 1316,41176,12799 318 | 1317,43094,12217 319 | 1318,42166,11306 320 | 1319,42019,13368 321 | 1320,43592,12264 322 | 1321,41875,13075 323 | 1322,42914,12265 324 | 1323,42559,12487 325 | 1324,41840,12799 326 | 1325,44254,12779 327 | 1326,42394,11935 328 | 1327,41403,12064 329 | 1328,43321,13007 330 | 1329,43721,12821 331 | 1330,42680,13848 332 | 1331,43643,12656 333 | 1332,42737,12790 334 | 1333,44192,13026 335 | 1334,42127,12959 336 | 1335,42931,12489 337 | 1336,41576,12620 338 | 1337,42376,12838 339 | 1338,41527,12214 340 | 1339,43693,12996 341 | 1340,40778,12622 342 | 1341,43422,13343 343 | 1342,42750,12572 344 | 1343,44100,13622 345 | 1344,41156,13299 346 | 1345,42180,12190 347 | 1346,44373,13689 348 | 1347,42394,12115 349 | 1348,41988,12974 350 | 1349,42289,12701 351 | 1350,42771,12371 352 | 1351,44081,13297 353 | 1352,43336,13566 354 | 1353,43655,13300 355 | 1354,44211,13651 356 | 1355,43336,12471 357 | 1356,42639,12503 358 | 1357,41902,13003 359 | 1358,42635,12964 360 | 1359,42874,12589 361 | 1360,44199,12526 362 | 1361,43291,12012 363 | 1362,40888,12087 364 | 1363,42485,11560 365 | 1364,43363,13625 366 | 1365,42711,12581 367 | 1366,43026,12326 368 | 1367,42456,12266 369 | 1368,41660,12230 370 | 1369,42339,13111 371 | 1370,42150,12672 372 | 1371,43332,12665 373 | 1372,43555,13116 374 | 1373,41947,13144 375 | 1374,43533,12216 376 | 1375,41846,12769 377 | 1376,43063,13485 378 | 1377,42707,12729 379 | 1378,42351,12160 380 | 1379,42899,12995 381 | 1380,41322,12633 382 | 1381,42806,13077 383 | 1382,42736,12599 384 | 1383,41511,12528 385 | 1384,43485,12949 386 | 1385,40924,10986 387 | 1386,42830,12924 388 | 1387,43939,12851 389 | 1388,42828,13489 390 | 1389,43115,12628 391 | 1390,42954,13214 392 | 1391,41774,11880 393 | 1392,43743,13313 394 | 1393,43905,12984 395 | 1394,42571,11836 396 | 1395,42898,13306 397 | 1396,42714,12363 398 | 1397,43208,13104 399 | 1398,43731,13540 400 | 1399,43454,12763 401 | 1400,42603,12493 402 | 1401,43868,13388 403 | 1402,42916,12943 404 | 1403,44691,12400 405 | 1404,43804,11549 406 | 1405,41933,13001 407 | 1406,43773,12058 408 | 1407,42709,12614 409 | 1408,42769,12213 410 | 1409,42445,13888 411 | 1410,41528,12807 412 | 1411,44582,13967 413 | 1412,43007,12808 414 | 1413,42236,13753 415 | 1414,43158,11981 416 | 1415,42935,12880 417 | 1416,44651,13641 418 | 1417,43704,12807 419 | 1418,43083,12864 420 | 1419,41817,11893 421 | 1420,42005,12643 422 | 1421,42932,13010 423 | 1422,41199,11788 424 | 1423,43369,13082 425 | 1424,43069,13060 426 | 1425,41527,12118 427 | 1426,42254,11548 428 | 1427,43809,13277 429 | 1428,42587,12540 430 | 1429,43309,12570 431 | 1430,41336,12095 432 | 1431,43359,12730 433 | 1432,41844,12978 434 | 1433,44024,13327 435 | 1434,41893,12766 436 | 1435,43634,13953 437 | 1436,42604,12561 438 | 1437,42657,13576 439 | 1438,42759,12830 440 | 1439,43536,13407 441 | 1440,42654,13247 442 | 1441,42299,12981 443 | 1442,41253,12793 444 | 1443,42333,12401 445 | 1444,41847,12922 446 | 1445,42560,13006 447 | 1446,44146,12879 448 | 1447,40883,12713 449 | 1448,42759,12213 450 | 1449,42974,12405 451 | 1450,42158,13402 452 | 1451,42537,12920 453 | 1452,43817,12891 454 | 1453,44099,13044 455 | 1454,43467,12711 456 | 1455,41547,12254 457 | 1456,43004,13137 458 | 1457,45189,12533 459 | 1458,42177,11354 460 | 1459,41567,12853 461 | 1460,41669,12973 462 | 1461,43478,13429 463 | 1462,43106,12058 464 | 1463,41501,12894 465 | 1464,43819,13051 466 | 1465,43550,13002 467 | 1466,43544,13335 468 | 1467,42720,13521 469 | 1468,42557,11892 470 | 1469,42018,13060 471 | 1470,41693,12411 472 | 1471,40968,12335 473 | 1472,42970,12835 474 | 1473,43339,13396 475 | 1474,41943,12575 476 | 1475,43131,12292 477 | 1476,42946,12692 478 | 1477,43513,13579 479 | 1478,42921,13356 480 | 1479,42824,13454 481 | 1480,43629,12438 482 | 1481,43617,13763 483 | 1482,43099,13112 484 | 1483,42279,12590 485 | 1484,43546,12348 486 | 1485,42730,12774 487 | 1486,42376,12581 488 | 1487,43271,12086 489 | 1488,43502,12849 490 | 1489,42233,12616 491 | 1490,43930,12707 492 | 1491,41964,11434 493 | 1492,42942,12410 494 | 1493,41858,13575 495 | 1494,41564,12862 496 | 1495,42897,12802 497 | 1496,43442,13109 498 | 1497,43101,11795 499 | 1498,42696,13541 500 | 1499,42597,12686 501 | 1500,43330,12843 502 | 1501,42890,12090 503 | 1502,42418,12046 504 | 1503,43964,13273 505 | 1504,43516,13592 506 | 1505,40915,12469 507 | 1506,41366,12332 508 | 1507,43879,12442 509 | 1508,42058,13030 510 | 1509,42298,12087 511 | 1510,42713,11990 512 | 1511,41490,11812 513 | 1512,43079,12400 514 | 1513,41560,11850 515 | 1514,43550,13483 516 | 1515,43150,12089 517 | 1516,44710,13693 518 | 1517,43012,12498 519 | 1518,42982,12849 520 | 1519,42750,13202 521 | 1520,43084,12745 522 | 1521,42716,12896 523 | -------------------------------------------------------------------------------- /ChiSquareTurnover.csv: -------------------------------------------------------------------------------- 1 | EmployeeID,Onboarding,Turnover 2 | E1,No,Quit 3 | E2,No,Quit 4 | E3,No,Quit 5 | E8,No,Quit 6 | E14,No,Quit 7 | E22,No,Quit 8 | E24,No,Quit 9 | E25,No,Quit 10 | E31,No,Quit 11 | E35,No,Quit 12 | E52,No,Quit 13 | E53,No,Quit 14 | E54,No,Quit 15 | E71,No,Quit 16 | E74,No,Quit 17 | E75,No,Quit 18 | E13,Yes,Quit 19 | E30,Yes,Quit 20 | E34,Yes,Quit 21 | E40,Yes,Quit 22 | E48,Yes,Quit 23 | E59,Yes,Quit 24 | E4,Yes,Stayed 25 | E5,Yes,Stayed 26 | E6,Yes,Stayed 27 | E7,Yes,Stayed 28 | E9,Yes,Stayed 29 | E10,Yes,Stayed 30 | E11,Yes,Stayed 31 | E12,Yes,Stayed 32 | E15,Yes,Stayed 33 | E16,Yes,Stayed 34 | E17,Yes,Stayed 35 | E18,Yes,Stayed 36 | E19,Yes,Stayed 37 | E20,Yes,Stayed 38 | E21,Yes,Stayed 39 | E23,Yes,Stayed 40 | E26,Yes,Stayed 41 | E27,Yes,Stayed 42 | E28,No,Stayed 43 | E29,Yes,Stayed 44 | E32,Yes,Stayed 45 | E33,No,Stayed 46 | E36,No,Stayed 47 | E37,Yes,Stayed 48 | E38,Yes,Stayed 49 | E39,Yes,Stayed 50 | E41,Yes,Stayed 51 | E42,Yes,Stayed 52 | E43,Yes,Stayed 53 | E44,Yes,Stayed 54 | E45,Yes,Stayed 55 | E46,Yes,Stayed 56 | E47,Yes,Stayed 57 | E49,Yes,Stayed 58 | E50,Yes,Stayed 59 | E51,Yes,Stayed 60 | E55,Yes,Stayed 61 | E56,Yes,Stayed 62 | E57,Yes,Stayed 63 | E58,Yes,Stayed 64 | E60,Yes,Stayed 65 | E61,No,Stayed 66 | E62,Yes,Stayed 67 | E63,Yes,Stayed 68 | E64,Yes,Stayed 69 | E65,No,Stayed 70 | E66,Yes,Stayed 71 | E67,No,Stayed 72 | E68,Yes,Stayed 73 | E69,Yes,Stayed 74 | E70,Yes,Stayed 75 | E72,Yes,Stayed 76 | E73,No,Stayed 77 | -------------------------------------------------------------------------------- /ConcurrentValidation.csv: -------------------------------------------------------------------------------- 1 | EmployeeID,SJT,EI,Interview,Performance 2 | EE23,9,8,2,22 3 | EE24,8,6,3,11 4 | EE25,7,6,4,5 5 | EE26,6,5,5,11 6 | EE27,6,5,6,12 7 | EE28,5,5,7,12 8 | EE29,5,4,7,12 9 | EE30,4,2,8,12 10 | EE31,3,2,9,12 11 | EE32,8,7,2,10 12 | EE33,7,4,3,10 13 | EE34,7,6,3,10 14 | EE35,7,6,5,12 15 | EE36,6,5,6,12 16 | EE37,6,5,6,12 17 | EE38,5,4,7,12 18 | EE39,5,4,7,12 19 | EE40,4,3,7,11 20 | EE41,3,3,7,10 21 | EE42,2,1,8,18 22 | EE43,9,8,8,12 23 | EE44,9,8,9,11 24 | EE45,6,5,9,15 25 | EE46,7,6,9,16 26 | EE47,7,6,9,16 27 | EE48,7,6,12,11 28 | EE49,5,4,12,14 29 | EE50,4,7,14,12 30 | EE51,3,2,3,6 31 | EE52,2,2,4,6 32 | EE53,1,3,5,6 33 | EE54,9,8,5,14 34 | EE55,10,9,6,14 35 | EE56,8,7,7,15 36 | EE57,7,6,4,11 37 | EE58,6,5,4,10 38 | EE59,5,4,7,12 39 | EE60,4,3,8,12 40 | EE61,3,2,9,12 41 | EE62,2,1,3,5 42 | EE63,1,2,3,8 43 | EE64,9,8,8,10 44 | EE65,8,7,7,15 45 | EE66,7,6,7,14 46 | EE67,7,6,6,13 47 | EE68,6,5,6,12 48 | EE69,6,5,5,11 49 | EE70,5,4,5,10 50 | EE71,5,4,4,9 51 | EE72,5,4,4,9 52 | EE73,5,4,3,8 53 | EE74,4,3,3,7 54 | EE75,4,3,2,9 55 | EE76,3,2,9,12 56 | EE77,2,1,9,11 57 | EE78,8,8,8,16 58 | EE79,8,7,7,15 59 | EE80,7,6,6,13 60 | EE81,7,6,6,13 61 | EE82,7,6,5,12 62 | EE83,6,7,4,10 63 | EE84,6,5,5,11 64 | EE85,5,4,4,9 65 | EE86,5,4,4,9 66 | EE87,5,4,3,8 67 | EE88,4,3,2,6 68 | EE89,4,3,1,5 69 | EE90,3,2,1,4 70 | EE91,2,1,1,18 71 | EE92,10,8,12,5 72 | EE93,9,8,7,16 73 | EE94,8,7,5,13 74 | EE95,7,6,5,12 75 | EE96,7,6,4,11 76 | EE97,6,5,4,10 77 | EE98,6,5,3,9 78 | EE99,5,1,3,8 79 | EE100,5,4,2,7 80 | EE101,5,4,2,7 81 | EE102,4,3,2,6 82 | EE103,3,2,4,7 83 | EE104,2,1,4,14 84 | EE105,9,7,5,14 85 | EE106,9,10,7,12 86 | EE107,7,6,7,14 87 | EE108,6,5,4,10 88 | EE109,5,4,4,9 89 | EE110,5,4,3,8 90 | EE111,5,4,3,8 91 | EE112,4,2,2,6 92 | EE113,3,2,2,5 93 | EE114,8,7,15,10 94 | EE115,7,6,4,11 95 | EE116,6,5,4,10 96 | EE117,5,4,3,8 97 | EE118,3,1,3,6 98 | EE119,2,1,3,14 99 | EE120,5,4,4,9 100 | EE121,5,4,3,8 101 | EE122,4,3,3,7 102 | EE123,9,8,2,22 103 | EE124,8,6,3,11 104 | EE125,7,6,4,5 105 | EE126,6,5,5,11 106 | EE127,6,5,6,12 107 | EE128,5,5,7,12 108 | EE129,5,4,7,12 109 | EE130,4,2,8,12 110 | EE131,3,2,9,12 111 | EE132,8,7,2,10 112 | EE133,7,4,3,10 113 | EE134,7,6,3,10 114 | EE135,7,6,5,12 115 | EE136,6,5,6,12 116 | EE137,6,5,6,12 117 | EE138,5,4,7,12 118 | EE139,5,4,7,12 119 | EE140,4,3,7,11 120 | EE141,3,3,7,10 121 | EE142,2,1,8,18 122 | EE143,9,8,8,12 123 | EE144,9,8,9,11 124 | EE145,6,5,9,15 125 | EE146,7,6,9,16 126 | EE147,7,6,9,16 127 | EE148,7,6,12,11 128 | EE149,5,4,12,14 129 | EE150,4,7,14,12 130 | EE151,3,2,3,6 131 | EE152,2,2,4,6 132 | EE153,1,3,5,6 133 | EE154,9,8,5,14 134 | EE155,10,9,6,14 135 | EE156,8,7,7,15 136 | EE157,7,6,4,11 137 | EE158,6,5,4,10 138 | EE159,5,4,7,12 139 | EE160,4,3,8,12 140 | EE161,3,2,9,12 141 | EE162,2,1,3,5 142 | EE163,1,2,3,8 143 | EE164,9,8,8,10 144 | EE165,8,7,7,15 145 | EE166,7,6,7,14 146 | EE167,7,6,6,13 147 | EE168,6,5,6,12 148 | EE169,6,5,5,11 149 | EE170,5,4,5,10 150 | EE171,5,4,4,9 151 | EE172,5,4,4,9 152 | EE173,5,4,3,8 153 | EE174,4,3,3,7 154 | EE175,4,3,2,9 155 | EE176,3,2,9,12 156 | EE177,2,1,9,11 157 | EE178,8,8,8,16 158 | EE179,8,7,7,15 159 | EE180,7,6,6,13 160 | EE181,7,6,6,13 161 | EE182,7,6,5,12 162 | EE183,6,7,4,10 163 | EE184,6,5,5,11 164 | EE185,5,4,4,9 165 | EE186,5,4,4,9 166 | EE187,5,4,3,8 167 | EE188,4,3,2,6 168 | EE189,4,3,1,5 169 | EE190,3,2,1,4 170 | EE191,2,1,1,18 171 | EE192,10,8,12,5 172 | EE193,9,8,7,16 173 | EE194,8,7,5,13 174 | EE195,7,6,5,12 175 | EE196,7,6,4,11 176 | EE197,6,5,4,10 177 | EE198,6,5,3,9 178 | EE199,5,1,3,8 179 | EE200,5,4,2,7 180 | EE201,5,4,2,7 181 | EE202,4,3,2,6 182 | EE203,3,2,4,7 183 | EE204,2,1,4,14 184 | EE205,9,7,5,14 185 | EE206,9,10,7,12 186 | EE207,7,6,7,14 187 | EE208,6,5,4,10 188 | EE209,5,4,4,9 189 | EE210,5,4,3,8 190 | EE211,5,4,3,8 191 | EE212,4,2,2,6 192 | EE213,3,2,2,5 193 | EE214,8,7,15,10 194 | EE215,7,6,4,11 195 | EE216,6,5,4,10 196 | EE217,5,4,3,8 197 | EE218,3,1,3,6 198 | EE219,2,1,3,14 199 | EE220,5,4,4,9 200 | EE221,5,4,3,8 201 | EE222,4,3,3,7 202 | EE223,9,8,1,24 203 | EE224,8,6,3,11 204 | EE225,7,6,4,5 205 | EE226,6,5,5,11 206 | EE227,6,5,6,12 207 | EE228,5,5,7,12 208 | EE229,5,4,7,12 209 | EE230,4,2,8,12 210 | EE231,3,2,9,12 211 | EE232,8,7,2,10 212 | EE233,7,4,3,10 213 | EE234,7,6,3,10 214 | EE235,7,6,5,12 215 | EE236,6,5,6,12 216 | EE237,6,5,6,12 217 | EE238,5,4,7,12 218 | EE239,5,4,7,12 219 | EE240,4,3,7,11 220 | EE241,3,3,7,10 221 | EE242,2,1,8,9 222 | EE243,9,8,8,12 223 | EE244,9,8,9,11 224 | EE245,6,5,9,15 225 | EE246,7,6,9,16 226 | EE247,7,6,9,16 227 | EE248,7,6,12,11 228 | EE249,5,4,12,14 229 | EE250,4,7,14,12 230 | EE251,3,2,3,6 231 | EE252,2,2,4,6 232 | EE253,1,3,5,6 233 | EE254,9,8,5,14 234 | EE255,10,9,6,27 235 | EE256,8,7,7,15 236 | EE257,7,6,4,11 237 | EE258,6,5,4,10 238 | EE259,5,4,7,12 239 | EE260,4,3,8,12 240 | EE261,3,2,9,12 241 | EE262,2,1,3,5 242 | EE263,1,2,5,8 243 | EE264,9,8,4,10 244 | EE265,8,7,7,15 245 | EE266,7,6,7,14 246 | EE267,7,6,6,13 247 | EE268,6,5,6,12 248 | EE269,6,5,5,11 249 | EE270,5,4,5,10 250 | EE271,5,4,4,9 251 | EE272,5,4,4,9 252 | EE273,5,4,3,8 253 | EE274,4,3,3,7 254 | EE275,4,3,2,9 255 | EE276,3,2,9,12 256 | EE277,2,1,9,11 257 | EE278,8,8,8,16 258 | EE279,8,7,7,15 259 | EE280,7,6,6,13 260 | EE281,7,6,6,13 261 | EE282,7,6,5,12 262 | EE283,6,7,4,10 263 | EE284,6,5,5,11 264 | EE285,5,4,4,9 265 | EE286,5,4,4,9 266 | EE287,5,4,3,8 267 | EE288,4,3,2,6 268 | EE289,4,3,1,5 269 | EE290,3,2,1,4 270 | EE291,2,1,5,18 271 | EE292,10,8,12,5 272 | EE293,9,8,7,16 273 | EE294,8,7,5,13 274 | EE295,7,6,5,12 275 | EE296,7,6,4,11 276 | EE297,6,5,4,10 277 | EE298,6,5,3,9 278 | EE299,5,1,3,8 279 | EE300,5,4,2,7 280 | EE301,5,4,2,7 281 | EE302,4,3,2,6 282 | EE303,3,2,4,7 283 | EE304,2,1,4,14 284 | EE305,9,7,5,22 285 | EE306,9,10,7,12 286 | EE307,7,6,7,14 287 | EE308,6,5,4,10 288 | EE309,5,4,4,9 289 | EE310,5,4,3,8 290 | EE311,5,4,3,8 291 | EE312,4,2,2,6 292 | EE313,3,2,2,5 293 | EE314,8,7,15,10 294 | EE315,7,6,4,11 295 | EE316,6,5,4,10 296 | EE317,5,4,3,8 297 | EE318,3,1,3,6 298 | EE319,2,1,3,14 299 | EE320,5,4,4,9 300 | EE321,5,4,3,8 301 | EE322,4,3,3,7 302 | -------------------------------------------------------------------------------- /DataCleaningExample.csv: -------------------------------------------------------------------------------- 1 | EmpID,Facility,JobLevel,StartDate,Org_Tenure_Yrs,OnboardingCompleted 2 | EP1201,Beaverton,1,2010-05-05,8.6,No 3 | EP1202,beaverton,1,2008-01-31,10.9,No 4 | EP1203,Beaverton,-9999,2017-02-05,1.9,No 5 | EP1204,Portland,5,2018-09-19,0.3,No 6 | EP1205,,2,2018-09-19,0.3,No 7 | EP1206,Beaverton,1,2010-03-23,8.8,No 8 | EP1207,beverton,1,2011-06-01,7.6,No 9 | EP1208,Portland,4,2010-05-15,8.6,No 10 | EP1209,Portland,3,2011-04-29,7.7,No 11 | EP1210,Beaverton,11,2012-07-11,6.5,No 12 | -------------------------------------------------------------------------------- /Descriptive Statistics.csv: -------------------------------------------------------------------------------- 1 | "","vars","n","mean","sd","median","trimmed","mad","min","max","range","skew","kurtosis","se" 2 | "SurveyNumber",1,156,78.5,45.1774279923061,78.5,78.5,57.8214,1,156,155,0,-1.22310032161208,3.61708906903512 3 | "JobSat1",2,156,3.10897435897436,0.815761808600129,3,3.11904761904762,1.4826,1,5,4,-0.0581338606995344,-0.166142477013777,0.0653132161779188 4 | "JobSat2",3,156,3.23717948717949,0.787910093832797,3,3.26190476190476,1.4826,1,5,4,-0.125138579798377,-0.0545194988218873,0.0630832943449193 5 | "JobSat3",4,156,3.41666666666667,0.864782898978461,3,3.3968253968254,1.4826,2,5,3,0.0477695446316478,-0.690259236806706,0.0692380445278161 6 | "TurnInt1",5,156,2.98076923076923,0.774356372456039,3,2.98412698412698,0.7413,1,5,4,-0.0502083891875349,-0.280922564450603,0.061998128154295 7 | "TurnInt2",6,156,2.82051282051282,0.731654594050953,3,2.8015873015873,0,1,5,4,-0.00686512666662478,-0.0584799588418932,0.0585792496841948 8 | "TurnInt3",7,156,2.81410256410256,0.725609751859347,3,2.79365079365079,0.7413,1,4,3,-0.00813991090558707,-0.559687841109789,0.0580952749741023 9 | "Engage1",8,156,3.62179487179487,0.773287483310379,4,3.61904761904762,1.4826,1,5,4,-0.324360792699943,0.170690862418449,0.0619125485315366 10 | "Engage2",9,156,3.37820512820513,0.829636132584437,3,3.41269841269841,1.4826,1,5,4,-0.319783177872706,0.157313846651317,0.0664240511203692 11 | "Engage3",10,156,3.43589743589744,0.755021787162567,3,3.46031746031746,1.4826,2,5,3,-0.00695226126445471,-0.387316515068741,0.0604501224304797 12 | "Engage4",11,156,3.64102564102564,0.857217689434972,4,3.68253968253968,1.4826,1,5,4,-0.469394107577199,0.14736505281782,0.0686323430091423 13 | "Engage5",12,156,3.42948717948718,0.827839625166532,3,3.43650793650794,1.4826,1,5,4,-0.11552881355959,0.025820436468686,0.0662802154123061 14 | "ExpIncivil1",13,156,2.10897435897436,0.563098776056529,2,2.13492063492063,0,1,3,2,0.0262333081512915,0.00669199730533743,0.0450839837099181 15 | "ExpIncivil2",14,156,2.30769230769231,0.552009637776834,2,2.3015873015873,0,1,4,3,0.223246115379321,-0.337712807860114,0.0441961420899096 16 | "ExpIncivil3",15,156,2.51282051282051,0.695489426066319,2,2.48412698412698,1.4826,1,4,3,0.183231510605827,-0.28262113861321,0.0556837188934797 17 | "ExpIncivil4",16,156,2.57051282051282,0.653646639145978,3,2.55555555555556,1.4826,1,4,3,0.015753083925935,-0.275819225769888,0.0523336147836727 18 | "ExpIncivil5",17,156,2.48717948717949,0.65733753775686,3,2.51587301587302,1.4826,1,4,3,-0.223967618535754,-0.281621416429263,0.0526291231738939 19 | "JobSatMean",18,156,3.2542735042735,0.68061976762505,3.33333333333333,3.26984126984127,0.4942,1.33333333333333,4.66666666666667,3.33333333333333,-0.213179614914409,-0.406783174491222,0.0544931934165234 20 | -------------------------------------------------------------------------------- /DiffPred.csv: -------------------------------------------------------------------------------- 1 | emp_id,perf_eval,interview,age,gender,race 2 | MA322,4.2,7.5,29.7,woman,asian 3 | MA323,4.9,9.3,31.7,man,asian 4 | MA324,4.2,7.5,29.4,woman,asian 5 | MA325,5.3,8,37.9,woman,asian 6 | MA326,4.2,9.3,30.9,man,black 7 | MA327,6.9,6.8,46.2,woman,asian 8 | MA328,3.4,6.7,43.9,woman,asian 9 | MA329,5.8,7,47.8,man,white 10 | MA330,4.4,8.2,31.7,woman,asian 11 | MA331,5.6,6.4,44.6,woman,white 12 | MA332,6.4,7.8,37.9,woman,asian 13 | MA333,5.3,8.8,38.1,man,black 14 | MA334,6.9,7.5,34.1,man,asian 15 | MA335,3.9,8.4,25.3,woman,white 16 | MA336,4.3,8.2,26.7,man,asian 17 | MA337,5.9,8.8,33.6,man,black 18 | MA338,5,6.9,35,woman,asian 19 | MA339,7,9.1,42.3,man,white 20 | MA340,3,6.8,39.9,woman,white 21 | MA341,5,6.7,36.5,woman,asian 22 | MA342,4.6,7.3,38.9,woman,asian 23 | MA343,5.2,7.7,33,woman,white 24 | MA344,4.6,6.7,25.8,woman,asian 25 | MA345,4.7,7.8,34.7,man,white 26 | MA346,6.4,7.4,42.2,man,asian 27 | MA347,3.8,7.9,29.3,woman,white 28 | MA348,5.1,7,39.7,woman,asian 29 | MA349,5.4,5.9,49.4,woman,asian 30 | MA350,4.6,4.9,46,woman,asian 31 | MA351,4.7,8.8,22.7,man,white 32 | MA352,5.4,10,28.2,man,white 33 | MA353,3.6,4.8,59.9,woman,asian 34 | MA354,5.4,6.6,45.3,woman,asian 35 | MA355,5.1,7.4,40.6,woman,asian 36 | MA356,7,5.8,55.8,woman,asian 37 | MA357,3.9,8.2,29.3,woman,white 38 | MA358,4.9,7.1,33.2,woman,white 39 | MA359,4.8,6.9,32.3,man,white 40 | MA360,4.6,6.2,43.1,woman,asian 41 | MA361,6.1,6.8,38.2,man,white 42 | MA362,5.1,5.9,49.9,woman,asian 43 | MA363,5.3,7.6,41.6,woman,black 44 | MA364,5.8,7,41.3,woman,asian 45 | MA365,4.8,8.8,27.1,man,white 46 | MA366,4.6,7.9,36.6,woman,asian 47 | MA367,2.9,5.6,37.9,woman,asian 48 | MA368,5.2,7.7,36.8,man,white 49 | MA369,2.5,5.6,39.1,woman,white 50 | MA370,5.7,10,33.1,man,white 51 | MA371,6,7.3,37.5,woman,asian 52 | MA372,4.6,7.8,41.4,woman,asian 53 | MA373,4.7,6.6,33.4,woman,white 54 | MA374,3.1,7.3,27.3,man,black 55 | MA375,4.3,6.2,41.7,woman,asian 56 | MA376,4.5,8,34,man,white 57 | MA377,5,7.6,39,man,asian 58 | MA378,5.1,8.7,35.9,woman,white 59 | MA379,4.5,6.5,43.5,woman,asian 60 | MA380,6.3,6.6,47.7,woman,asian 61 | MA381,5.9,7.8,36.7,man,white 62 | MA382,3.8,7,39.6,woman,asian 63 | MA383,4.2,7,33.8,woman,asian 64 | MA384,3.8,8.2,29.2,woman,white 65 | MA385,3.9,6.6,37.5,woman,black 66 | MA386,4.1,6.2,29.2,woman,asian 67 | MA387,4.9,6.4,54.7,woman,asian 68 | MA388,4.3,7.9,33.8,woman,white 69 | MA389,5.5,8.1,40.1,woman,asian 70 | MA390,5.6,8.9,31.8,woman,white 71 | MA391,5,10,28.2,man,white 72 | MA392,7,7.6,35.8,man,asian 73 | MA393,5.8,6.5,43.3,woman,asian 74 | MA394,4.3,6.3,53,woman,asian 75 | MA395,4.7,8.7,33.9,man,asian 76 | MA396,3.9,6.1,45.8,woman,asian 77 | MA397,4.8,5.7,61.3,woman,white 78 | MA398,6.3,7.5,31.4,man,asian 79 | MA399,4.3,7.5,34.4,woman,asian 80 | MA400,4.4,6.4,38.1,woman,white 81 | MA401,3.7,6.5,41.8,woman,asian 82 | MA402,4.1,6.6,36,woman,asian 83 | MA403,3.8,5.7,57.4,woman,asian 84 | MA404,6.8,7.3,42.7,man,white 85 | MA405,6.7,7.4,43.9,man,asian 86 | MA406,4,7,41.8,woman,asian 87 | MA407,4.3,6.5,40.7,woman,white 88 | MA408,4.2,5.9,42.2,woman,white 89 | MA409,3.3,6.3,35.8,woman,white 90 | MA410,5.5,6.4,36.7,woman,asian 91 | MA411,4.6,9.1,25.6,man,white 92 | MA412,2.9,4,49.8,woman,asian 93 | MA413,4.2,8.5,22.1,man,black 94 | MA414,5,7.3,30,man,white 95 | MA415,7,8.7,33.6,man,white 96 | MA416,3,4,60.7,woman,asian 97 | MA417,4.4,8.1,32.3,man,white 98 | MA418,4.2,6.7,33.5,woman,asian 99 | MA419,5.1,8.4,24.6,man,white 100 | MA420,6.7,6.1,39,man,asian 101 | MA421,5,6.4,46.2,woman,white 102 | MA422,4.5,6.9,32.3,woman,asian 103 | MA423,4,8.3,29.9,man,asian 104 | MA424,4.7,5.5,42.3,man,asian 105 | MA425,5.4,6.2,44.7,woman,asian 106 | MA426,5.3,8.8,32.4,man,white 107 | MA427,4,7,34.6,woman,asian 108 | MA428,3.7,6.8,35.6,woman,asian 109 | MA429,3.7,7.3,26.5,woman,asian 110 | MA430,4.4,6.9,39.8,woman,white 111 | MA431,5,5,61,woman,asian 112 | MA432,4.7,6.5,36.1,woman,asian 113 | MA433,3.7,7.7,26.8,man,asian 114 | MA434,5.5,8.7,37.1,man,white 115 | MA435,5,8.7,32.8,man,white 116 | MA436,5.8,9.4,28.1,man,white 117 | MA437,4.8,5.3,53.1,woman,asian 118 | MA438,4.8,5.1,49.1,woman,asian 119 | MA439,5.1,7.6,31.6,man,asian 120 | MA440,3.5,6.9,32.6,woman,white 121 | MA441,5.9,8.4,30.1,man,white 122 | MA442,4.7,8.4,29.7,man,white 123 | MA443,4.4,5.7,27.6,woman,asian 124 | MA444,4.5,5.1,51.5,woman,asian 125 | MA445,5.9,7.4,37.3,man,white 126 | MA446,3.4,6.9,33.6,woman,black 127 | MA447,5.7,7.4,39.9,man,asian 128 | MA448,4.2,7.8,30.5,man,asian 129 | MA449,3.2,5.5,48.8,woman,asian 130 | MA450,5.1,6.6,39.8,woman,white 131 | MA451,6,8.7,25.9,man,white 132 | MA452,5.8,9,32.1,man,asian 133 | MA453,5.9,9.4,29.2,man,asian 134 | MA454,3.6,9.1,25.6,man,black 135 | MA455,4.5,8.8,27.5,man,white 136 | MA456,3.9,5.7,41.7,woman,asian 137 | MA457,4,6.4,31.3,woman,asian 138 | MA458,4.7,6.4,32.1,man,white 139 | MA459,2.9,6.4,26.1,woman,white 140 | MA460,4.1,6.6,39.2,woman,white 141 | MA461,5.4,7.6,34.8,man,white 142 | MA462,3.9,6.9,32.4,woman,asian 143 | MA463,4,4.9,45.1,woman,white 144 | MA464,3.7,7.9,32.3,man,white 145 | MA465,4.5,5.7,44.7,woman,asian 146 | MA466,3.2,7.3,30.1,woman,white 147 | MA467,4.6,8.4,38.2,woman,white 148 | MA468,4,5.1,41.3,woman,asian 149 | MA469,3.4,6.3,29.9,woman,asian 150 | MA470,4.8,5.6,55.6,woman,asian 151 | MA471,4.4,6.2,43.9,woman,asian 152 | MA472,5.1,6,42.4,woman,asian 153 | MA473,5.4,9.3,28,man,white 154 | MA474,6,6.7,37.2,man,asian 155 | MA475,5.3,8.3,33.9,woman,white 156 | MA476,4.1,5.4,48.4,woman,asian 157 | MA477,4.6,9.5,29.3,man,white 158 | MA478,4,7.2,29.8,woman,white 159 | MA479,6,6.2,57.3,woman,asian 160 | MA480,5.6,7.5,49.9,man,white 161 | MA481,2.4,5.9,38.8,woman,asian 162 | MA482,5.2,7.8,27.8,woman,black 163 | MA483,5.9,7.1,39.8,woman,asian 164 | MA484,2.7,8.5,38.7,woman,white 165 | MA485,4.8,8.4,26.5,man,white 166 | MA486,5.8,8.4,36.5,man,black 167 | MA487,5,8.4,31.2,man,white 168 | MA488,4.6,8,26.9,man,asian 169 | MA489,3.2,6.5,30.3,woman,white 170 | MA490,6.9,7.1,47.5,woman,asian 171 | MA491,4.8,6.4,43.9,woman,asian 172 | MA492,4.6,7.3,32.1,woman,asian 173 | MA493,4.4,8.8,22.1,man,black 174 | MA494,3.6,8.1,33.4,woman,white 175 | MA495,4.5,6.7,33.8,woman,asian 176 | MA496,4.4,7.5,32.4,woman,asian 177 | MA497,4.7,8.3,30.6,man,black 178 | MA498,6.8,8.4,32.1,man,asian 179 | MA499,4,8,29.4,man,white 180 | MA500,3.5,5.4,42.2,woman,white 181 | MA501,5.5,6.6,38,woman,asian 182 | MA502,3.6,5.1,49.3,woman,asian 183 | MA503,5.5,8.2,29.2,man,white 184 | MA504,4.2,8.5,19.1,woman,asian 185 | MA505,5.7,7.3,41.5,man,white 186 | MA506,4.4,8.3,34.6,woman,asian 187 | MA507,3.4,5.5,33.4,woman,asian 188 | MA508,4,6.4,34.9,woman,asian 189 | MA509,4.8,7.4,49.6,woman,asian 190 | MA510,4.7,7.5,27.2,woman,asian 191 | MA511,4.3,7.2,25.3,woman,asian 192 | MA512,4.8,7,46.1,woman,asian 193 | MA513,6,6.3,42.3,woman,asian 194 | MA514,3,6.2,42.6,woman,white 195 | MA515,4.9,7.8,40.6,man,white 196 | MA516,4.4,5.8,37,woman,asian 197 | MA517,4.3,6.8,38.6,woman,asian 198 | MA518,4.8,7.7,32,man,asian 199 | MA519,5.2,7.7,39.4,woman,white 200 | MA520,5.3,8.9,21.6,man,black 201 | MA521,3.4,4.5,50.6,woman,asian 202 | MA522,5.4,9,22.2,man,asian 203 | MA523,6.6,9.8,30.9,man,white 204 | MA524,5.6,8.1,30.8,woman,asian 205 | MA525,7,8.2,51.1,man,white 206 | MA526,5.8,7.9,45.6,woman,white 207 | MA527,4.9,7.8,28.8,man,white 208 | MA528,5,8.8,25.8,woman,asian 209 | MA529,3.6,4.7,48.3,woman,asian 210 | MA530,3.6,7.7,36.5,woman,asian 211 | MA531,5.1,7.6,33.5,man,white 212 | MA532,2.1,6.2,39.8,woman,asian 213 | MA533,5.2,8.1,26.7,man,asian 214 | MA534,5.4,6.5,32.4,man,white 215 | MA535,4.3,7.5,28.4,woman,white 216 | MA536,3,6.4,32.1,woman,asian 217 | MA537,5.2,8.7,34,man,white 218 | MA538,5.6,7.6,31.7,man,white 219 | MA539,5.7,7.1,32,woman,asian 220 | MA540,5,7.5,34.5,woman,white 221 | MA541,4.4,6.7,34.4,woman,white 222 | MA542,4.9,6.3,36.9,woman,asian 223 | MA543,4.8,6.7,44.1,woman,white 224 | MA544,5.6,6.9,42.6,woman,asian 225 | MA545,4.7,7.8,32.8,woman,white 226 | MA546,4.6,6,44.2,woman,asian 227 | MA547,4.6,8.5,34.6,man,asian 228 | MA548,4.3,6.5,37,man,asian 229 | MA549,1.6,5.9,32.4,woman,asian 230 | MA550,5.6,7.6,37.3,man,white 231 | MA551,3.9,7.7,25.1,woman,white 232 | MA552,4.5,7,33,woman,asian 233 | MA553,5.5,7.9,39.7,man,asian 234 | MA554,5.6,7.4,42.2,man,asian 235 | MA555,5.2,5.2,43.7,woman,asian 236 | MA556,4.2,6,40.1,woman,asian 237 | MA557,6.3,9.3,31.1,man,white 238 | MA558,3.8,6.3,43.4,woman,asian 239 | MA559,1.8,5.4,28.4,woman,white 240 | MA560,5.6,8.5,26.9,man,white 241 | MA561,5.7,7.5,42.6,woman,asian 242 | MA562,4.3,8.2,28.1,man,white 243 | MA563,2.9,6.4,39.7,woman,white 244 | MA564,2.6,4.9,42.4,woman,asian 245 | MA565,5.7,9.9,24.8,man,black 246 | MA566,6,9.9,30.6,man,black 247 | MA567,3.3,6.8,22.6,woman,white 248 | MA568,5.4,6.8,33.1,woman,asian 249 | MA569,5.8,7.9,39.5,man,white 250 | MA570,5.5,7.5,36.6,woman,asian 251 | MA571,3.4,7.7,24.3,woman,black 252 | MA572,6.8,8.6,29.2,man,asian 253 | MA573,3.1,6.6,36.7,woman,asian 254 | MA574,4.1,5.5,44.6,woman,asian 255 | MA575,3.3,8.9,28.5,man,black 256 | MA576,4.3,8.5,33.9,man,black 257 | MA577,4.9,8.4,33.5,man,white 258 | MA578,6.1,9.3,32.3,man,black 259 | MA579,5.5,6.8,32.1,woman,white 260 | MA580,3.1,8,38.3,man,black 261 | MA581,3.7,5.6,39.6,woman,asian 262 | MA582,4.4,7.9,25.9,man,asian 263 | MA583,3.8,5.9,41.8,woman,asian 264 | MA584,5.1,6.9,28.2,woman,asian 265 | MA585,2.4,4.5,64.6,woman,asian 266 | MA586,6,9.8,32.8,man,white 267 | MA587,5.9,5.7,37.9,man,asian 268 | MA588,4.5,6.4,31.1,woman,asian 269 | MA589,5.4,5.5,40.8,woman,asian 270 | MA590,3.6,4.2,62,woman,asian 271 | MA591,2.5,7.1,28.1,woman,white 272 | MA592,4.9,7.3,37.4,woman,asian 273 | MA593,5.7,7,45.9,man,asian 274 | MA594,5.4,7.3,28.3,man,asian 275 | MA595,6.3,6.8,42.7,woman,asian 276 | MA596,4.4,6.5,31.7,woman,white 277 | MA597,6.1,6.9,36.9,man,asian 278 | MA598,4.8,7.3,40.4,woman,asian 279 | MA599,4.2,6.1,42.7,woman,asian 280 | MA600,4.5,8.7,30.7,man,asian 281 | MA601,5.2,6.5,37.3,woman,asian 282 | MA602,4.7,6.9,37.7,woman,asian 283 | MA603,3.8,8.8,28.2,man,white 284 | MA604,2.5,6.6,34.8,woman,white 285 | MA605,3.4,7.4,40.4,woman,asian 286 | MA606,5.1,8.9,31.2,man,white 287 | MA607,5.6,7.2,36.3,man,asian 288 | MA608,5.4,6.5,49.4,woman,asian 289 | MA609,3.3,5.8,36.4,woman,asian 290 | MA610,3.9,6.5,28.4,man,white 291 | MA611,4.6,5.6,54.9,woman,white 292 | MA612,4.4,6.2,44.9,woman,asian 293 | MA613,4.3,6.7,45.5,woman,asian 294 | MA614,2.5,9.4,28.6,man,black 295 | MA615,5.1,8.5,35.2,man,white 296 | MA616,5.1,6.4,49,woman,white 297 | MA617,4.7,8.9,37.2,man,black 298 | MA618,6.5,8.8,34.9,man,white 299 | MA619,4.3,8.1,26.5,man,white 300 | MA620,5.7,6.5,33.5,woman,asian 301 | MA621,5.1,8.2,28.9,woman,asian 302 | MA622,5.8,6.7,46.4,woman,white 303 | MA623,5.5,8.3,44,man,black 304 | MA624,4.6,8.3,31.3,man,black 305 | MA625,5.3,7.6,34.6,man,asian 306 | MA626,6,7.1,36.5,man,white 307 | MA627,5.8,9.2,36.7,woman,asian 308 | MA628,5.3,7.8,35.9,woman,white 309 | MA629,5.4,7.7,40.1,man,asian 310 | MA630,4.6,6.8,43.1,woman,white 311 | MA631,4.5,5.6,44.4,woman,white 312 | MA632,5.4,8.6,33,woman,asian 313 | MA633,3.7,6.2,35.8,woman,white 314 | MA634,5.1,7.6,44.3,woman,white 315 | MA635,4.4,6.9,40.2,woman,asian 316 | MA636,5.6,7.9,44.1,woman,black 317 | MA637,3.5,5.2,54.5,woman,white 318 | MA638,4.3,7.2,43.5,woman,white 319 | MA639,3.1,6,31.7,woman,asian 320 | MA640,2.9,5.2,36.4,woman,asian 321 | MA641,4.6,7.3,32.4,woman,asian 322 | MA642,4.8,8.2,34.2,woman,white 323 | MA643,4.8,7.7,34.7,man,white 324 | MA644,3.7,6.9,41,woman,white 325 | MA645,4.7,8.2,31.7,woman,asian 326 | MA646,3.9,6.7,35.2,woman,asian 327 | MA647,2.5,8.8,34.6,woman,white 328 | MA648,5.4,6.6,42,man,asian 329 | MA649,4.1,6.6,30.4,woman,asian 330 | MA650,4.8,9.4,28.5,man,white 331 | MA651,5.1,7.6,31.1,woman,white 332 | MA652,4.6,6.4,41.4,woman,asian 333 | MA653,3.8,7.9,34.7,woman,black 334 | MA654,5,8.5,37,man,white 335 | MA655,5.6,5.8,52.7,woman,asian 336 | MA656,4.4,8.9,25.7,man,asian 337 | MA657,5.9,6.8,44,woman,asian 338 | MA658,6.4,9.4,24.9,man,white 339 | MA659,4.7,8,29,woman,white 340 | MA660,3.6,6.7,37.1,woman,white 341 | MA661,4.3,8.3,32,woman,white 342 | MA662,3.6,7.4,29.3,man,white 343 | MA663,4.5,8.2,40.3,man,black 344 | MA664,4.2,7.2,23.1,man,white 345 | MA665,4.1,7.7,38.9,woman,white 346 | MA666,4.7,7.8,34.6,woman,asian 347 | MA667,5.2,9.8,25.3,man,asian 348 | MA668,1.9,5.8,48.6,woman,white 349 | MA669,4.7,6.5,49.8,woman,white 350 | MA670,5.9,7.3,43.7,woman,asian 351 | MA671,4.8,6.6,39.5,woman,asian 352 | MA672,5.3,8.9,29.7,man,black 353 | MA673,4.7,8.8,27.8,man,white 354 | MA674,2.6,6.5,34,woman,white 355 | MA675,6.8,8.9,34,man,white 356 | MA676,5.4,9,31.2,man,white 357 | MA677,4.9,6,35.1,woman,asian 358 | MA678,3.3,6.8,29,woman,asian 359 | MA679,4.7,8.9,29.1,woman,white 360 | MA680,4.4,8.1,31.8,man,white 361 | MA681,5,7.4,33.5,woman,white 362 | MA682,4.3,6.4,40.2,woman,asian 363 | MA683,7,9.5,35.3,man,white 364 | MA684,5.3,7.8,32.1,man,asian 365 | MA685,7,7.3,34.4,man,asian 366 | MA686,3.4,7.1,32,woman,white 367 | MA687,5.1,7.8,33.8,woman,white 368 | MA688,3.2,8.9,22.9,woman,black 369 | MA689,4.5,4.2,66.1,woman,asian 370 | MA690,5,7.4,42.1,man,white 371 | MA691,4.9,6.6,30.5,woman,asian 372 | MA692,5.5,7,36.3,man,white 373 | MA693,5,6.1,46.3,woman,asian 374 | MA694,3.9,6.1,39.7,woman,asian 375 | MA695,3.3,6.2,36.9,woman,white 376 | MA696,4.3,5.7,37.2,woman,asian 377 | MA697,4.6,6.2,43,woman,asian 378 | MA698,6.6,7.1,44.7,man,black 379 | -------------------------------------------------------------------------------- /DifferentialPrediction.csv: -------------------------------------------------------------------------------- 1 | emp_id,perf_eval,interview,gender,age,race 2 | EE200,6.2,8.5,woman,30,black 3 | EE202,6.6,5.7,woman,45.6,black 4 | EE203,5,7,man,39.2,asian 5 | EE206,4,6.8,woman,36.9,black 6 | EE209,5.3,9.6,woman,24.5,white 7 | EE214,5.9,6,woman,41.5,asian 8 | EE215,5.5,7.5,man,35.1,black 9 | EE220,3.8,5.9,man,43.2,asian 10 | EE221,5.7,9.6,man,25.7,asian 11 | EE223,3.8,8.3,woman,27.8,white 12 | EE224,6.6,6.6,woman,39.3,asian 13 | EE225,4.9,9,man,28.8,asian 14 | EE226,4.4,5.1,woman,51.1,asian 15 | EE227,4.4,6.5,woman,38.2,white 16 | EE229,3.8,7,woman,35.2,asian 17 | EE231,4.3,6.7,woman,40.1,asian 18 | EE233,5.4,5.7,woman,45.2,black 19 | EE234,4.6,8.8,man,28.6,white 20 | EE237,6.2,6.5,woman,42.6,black 21 | EE238,5.9,7.7,woman,34.1,black 22 | EE240,5.7,8.2,man,32.1,asian 23 | EE244,3.4,5.9,man,42.1,asian 24 | EE245,5.7,4.3,woman,60.7,white 25 | EE248,5.1,6.7,man,37.7,black 26 | EE250,5.3,7.5,woman,34.4,black 27 | EE259,4.2,6.1,man,40.6,black 28 | EE261,7,5.4,woman,47.7,black 29 | EE262,4.8,5.4,woman,45.3,black 30 | EE263,5.6,8.2,woman,31.8,black 31 | EE264,4.7,6.9,man,35.2,white 32 | EE265,3.7,6.7,woman,37.1,white 33 | EE267,4.7,7.5,woman,33.7,asian 34 | EE269,3.2,6.7,man,32.7,asian 35 | EE271,4.3,7.3,man,36.3,white 36 | EE273,5.9,6,man,42.9,white 37 | EE274,5.6,6.9,woman,37.4,black 38 | EE277,4.8,8.9,man,29.3,black 39 | EE280,4.6,6,woman,41.2,white 40 | EE284,4.2,5.7,woman,43.2,white 41 | EE293,6.4,4.5,woman,57.7,black 42 | EE297,4,6.4,woman,42.4,black 43 | EE301,6.5,8.7,woman,29.8,black 44 | EE304,4.1,6.5,man,39.2,white 45 | EE305,2.6,6,man,39.1,asian 46 | EE307,5,7.2,woman,34.2,black 47 | EE308,4.5,5,man,53.8,asian 48 | EE310,4.7,6.1,woman,41.5,asian 49 | EE312,4.7,4.1,woman,62.3,black 50 | EE315,4.3,5.8,man,46.7,black 51 | EE316,5.4,6.5,man,40.8,white 52 | EE317,6.3,5.5,woman,50.8,black 53 | EE324,3.7,5,man,50.6,white 54 | EE326,5.1,7.9,man,31.6,asian 55 | EE328,5.9,8.3,man,32.6,white 56 | EE330,5.4,6.9,woman,41.2,black 57 | EE331,4.1,6.7,man,38.4,black 58 | EE334,3.5,9.1,woman,27.4,asian 59 | EE336,5.3,4.9,man,55.2,asian 60 | EE340,3.8,6.7,man,38.5,black 61 | EE345,4.7,8.1,man,32.1,white 62 | EE347,4,5.8,man,39.5,black 63 | EE348,4.6,9.6,man,23.6,asian 64 | EE351,7,6.8,man,38.8,black 65 | EE352,4.7,6.2,man,41.4,black 66 | EE357,3.7,8.1,man,28.1,black 67 | EE358,3.5,5.5,man,43.2,white 68 | EE359,5.6,6.9,woman,38.6,asian 69 | EE364,5.5,7.3,man,35.3,black 70 | EE365,3.8,6.5,man,37.5,asian 71 | EE372,3.6,5.7,man,45.1,asian 72 | EE373,4.2,6,man,43.8,white 73 | EE377,5.3,5.2,woman,45.7,white 74 | EE379,5.4,7.4,man,35.8,asian 75 | EE380,3.4,6.5,man,37.6,white 76 | EE385,4.9,6.4,man,39.6,white 77 | EE386,5.2,8.3,man,30,asian 78 | EE399,4.7,9.6,man,26,white 79 | EE403,3.9,6.2,woman,40.2,black 80 | EE404,3.5,9.2,man,29.7,white 81 | EE406,4.8,8.5,man,30.6,asian 82 | EE407,6.9,8.5,man,33,black 83 | EE408,4.7,7.1,woman,34.7,asian 84 | EE410,3.2,6.9,man,37.5,asian 85 | EE411,4.7,4.2,woman,65.3,white 86 | EE413,5.9,4,woman,67.7,black 87 | EE414,3.6,5.9,woman,44.6,white 88 | EE415,4.8,6.5,woman,40.4,black 89 | EE418,4.3,6.5,man,41.3,black 90 | EE420,3.1,7.2,woman,32.8,black 91 | EE424,3.6,7.5,woman,33,black 92 | EE427,5,7.5,man,35,asian 93 | EE432,3.9,5.8,woman,42.3,white 94 | EE433,5.9,7.8,man,35.4,black 95 | EE435,3.4,6.6,woman,36.2,asian 96 | EE436,5.3,7,woman,35.5,black 97 | EE439,4.1,7.6,woman,34,black 98 | EE441,6.1,8.6,woman,27.8,black 99 | EE445,2.7,9.3,woman,29.8,black 100 | EE446,2.9,6.8,man,35.6,white 101 | EE448,3.3,5.6,man,44.6,asian 102 | EE454,5.1,6.4,man,43.6,asian 103 | EE457,5.8,9.2,woman,28.1,black 104 | EE459,5.7,6.3,woman,44.7,asian 105 | EE472,3.1,5.8,woman,42.9,white 106 | EE473,3.6,5.3,man,46.6,asian 107 | EE474,4,6.8,man,36.7,black 108 | EE476,5.1,7,woman,36.7,white 109 | EE478,3.4,8,woman,29.5,asian 110 | EE479,5.2,5.4,woman,45,black 111 | EE484,3.5,7,woman,36.7,asian 112 | EE485,3.7,5,man,50.3,asian 113 | EE486,2.5,6.3,man,38.3,asian 114 | EE490,4.6,6.4,man,42.1,black 115 | EE491,6.4,8.9,man,28.6,asian 116 | EE492,2.7,6.3,man,39.6,white 117 | EE496,5.2,7.9,man,31.9,asian 118 | EE498,3.3,7.3,man,32.9,white 119 | EE500,4.5,7.5,man,33.4,white 120 | EE501,4.8,7.4,woman,31.4,black 121 | EE502,4.8,7.6,woman,34.3,black 122 | EE503,4.2,6.6,man,37.2,white 123 | EE504,2.6,3.6,woman,64.6,black 124 | EE505,6.5,8.4,man,30.9,asian 125 | EE510,6.4,10,man,25,black 126 | EE511,5.4,4.8,woman,53.4,white 127 | EE512,6.4,9.3,man,26.7,asian 128 | EE514,4.5,8.2,woman,29.7,black 129 | EE515,4.7,6.3,man,39.5,asian 130 | EE516,5.5,8,man,32.1,white 131 | EE517,4.3,7.1,man,35.6,black 132 | EE519,5.6,5.7,woman,47.9,white 133 | EE520,4.3,7.9,man,29.9,white 134 | EE530,3.9,5.2,woman,48.3,black 135 | EE531,3.4,7.3,man,32.1,white 136 | EE534,4.9,6.8,man,37.1,black 137 | EE537,5.5,5,woman,55,asian 138 | EE539,2.8,6.1,woman,39.5,asian 139 | EE540,4.8,9.2,man,26.7,black 140 | EE541,4.7,5.8,woman,44.6,white 141 | EE544,4.3,6.7,woman,41,black 142 | EE545,4.8,6.8,man,35.1,black 143 | EE547,5.6,7.1,man,35.9,black 144 | EE553,5.3,6,woman,44.3,black 145 | EE554,5.9,9.2,man,26.8,asian 146 | EE555,5.8,8,man,32.7,white 147 | EE556,4.5,6.6,man,39.2,black 148 | EE558,3.6,6.2,man,40.7,black 149 | EE560,4.2,5.6,woman,42.7,white 150 | EE561,7,7,woman,37.9,black 151 | EE564,5.8,8.6,man,30.3,black 152 | EE565,6.2,8.6,man,31.3,white 153 | EE567,5.6,7.2,man,36,asian 154 | EE568,4.5,6,woman,41.2,white 155 | EE569,5.6,6.8,woman,35.6,white 156 | EE575,6.3,7.5,man,34.7,black 157 | EE577,4.4,7.8,woman,31.8,black 158 | EE578,4,5.1,woman,49.5,black 159 | EE582,4.2,6.5,woman,38.3,black 160 | EE583,5,7.7,man,29.7,asian 161 | EE584,3.2,8,man,31.5,asian 162 | EE585,3,8,man,31.1,white 163 | EE586,4.7,7.8,man,33.6,white 164 | EE588,3.7,6.6,man,37.5,white 165 | EE590,4.3,5.7,man,45.3,asian 166 | EE591,4.7,5.7,woman,43.2,white 167 | EE592,4.7,7,woman,36.2,black 168 | EE594,4.7,5.4,man,48.9,white 169 | EE603,6,7.3,man,36.1,asian 170 | EE606,3.9,7.7,woman,31.8,black 171 | EE607,3.8,5.9,woman,41.1,white 172 | EE608,6,9.5,man,28.4,black 173 | EE609,4.5,9.2,man,25.6,asian 174 | EE610,4.8,7.4,woman,34,white 175 | EE613,5.2,7.4,man,35.6,asian 176 | EE614,4.4,6.9,woman,33.5,white 177 | EE616,3.9,5.4,man,46.6,white 178 | EE617,6.5,7,woman,37.7,asian 179 | EE618,3.5,6,man,41.8,white 180 | EE620,4.6,8,man,31.8,white 181 | EE621,3.4,5.7,man,43.6,black 182 | EE622,4.2,7,woman,34.7,asian 183 | EE623,4.2,8,man,31.6,white 184 | EE624,3.3,8.6,man,28.2,white 185 | EE626,5.1,9.1,man,27.4,black 186 | EE627,5.4,7.3,man,37.2,asian 187 | EE628,5.2,8.3,man,31.1,asian 188 | EE630,5.6,6.3,man,40.8,asian 189 | EE631,3.7,6.7,man,34.6,white 190 | EE633,6.3,6.2,man,45.7,white 191 | EE635,4.4,7.2,man,35.9,white 192 | EE638,3.9,8.6,woman,27.6,white 193 | EE639,6.2,8.4,man,32.3,black 194 | EE642,4.8,7.4,woman,37.8,black 195 | EE647,5.9,6,woman,44.3,black 196 | EE649,5,5.9,woman,44.2,asian 197 | EE651,6,8.9,woman,28.1,black 198 | EE653,5.5,5.4,woman,51.1,white 199 | EE654,5.3,8.2,woman,29.7,black 200 | EE655,4.3,5.9,man,38.9,black 201 | EE656,5.3,7.9,woman,32.3,black 202 | EE665,3.3,6.6,man,39.3,black 203 | EE667,3.6,5.6,woman,41.7,asian 204 | EE673,5.9,7.5,man,34.5,white 205 | EE674,5.2,7.7,man,32.8,white 206 | EE677,5.7,7.2,man,34.9,asian 207 | EE679,3.7,6.3,woman,40.9,asian 208 | EE680,3.4,7.5,woman,34.1,asian 209 | EE682,5.6,8.5,woman,31.2,white 210 | EE685,4.9,5.8,woman,44.6,black 211 | EE687,5.2,6.5,woman,39.6,asian 212 | EE690,3.7,6.1,woman,38.8,asian 213 | EE691,3.9,8,woman,30.4,white 214 | EE694,5,8,woman,31.4,black 215 | EE695,4.5,5.1,man,50.7,asian 216 | EE696,5.4,6.4,man,41.2,black 217 | EE701,4.7,6.3,woman,39.8,asian 218 | EE707,3.4,7.9,man,32.2,asian 219 | EE709,4.5,5.1,woman,49.6,white 220 | EE711,7,10,man,25.6,asian 221 | EE724,5.3,7.3,man,36.1,black 222 | EE728,3.7,5.7,man,46.9,asian 223 | EE730,5.1,4.6,woman,58.1,asian 224 | EE735,4.7,5,woman,52.1,white 225 | EE738,3.8,5.9,man,42.6,white 226 | EE741,4,6.1,woman,40.8,asian 227 | EE743,3.6,6.1,woman,39.9,black 228 | EE744,5,7.1,woman,35.4,white 229 | EE746,6.1,7.7,man,32.7,asian 230 | EE747,5.9,8.3,man,31.1,black 231 | EE750,4.9,6.6,woman,40.9,black 232 | EE751,5,7.3,man,35.5,white 233 | EE752,5.8,8.1,man,32.8,asian 234 | EE753,4.1,8.1,woman,30.7,white 235 | EE754,4.1,2.8,woman,81,black 236 | EE756,3.4,6,woman,44.3,asian 237 | EE757,6.2,9.3,man,27.1,white 238 | EE760,3.6,5.6,woman,47,asian 239 | EE763,4.4,6.5,man,36.4,black 240 | EE764,5.6,6.6,man,42.7,black 241 | EE767,5.4,6.5,man,40.9,asian 242 | EE768,3.7,6.8,man,35.1,asian 243 | EE772,4.8,5.5,man,50.7,black 244 | EE775,4.7,8.1,woman,31.7,white 245 | EE779,3.9,7.5,man,33.1,black 246 | EE781,5.3,4.9,woman,51.5,white 247 | EE786,6.4,7.3,man,35.3,white 248 | EE787,3.1,7.5,man,33,white 249 | EE791,4.7,6.4,man,39,white 250 | EE796,5,6.9,woman,35.3,white 251 | EE798,2.5,7.1,woman,33.7,white 252 | EE799,2,7,woman,31.3,white 253 | EE803,4.2,6.2,woman,41.9,black 254 | EE804,5.5,7.4,man,34.6,black 255 | EE805,4.1,5.5,woman,43.5,asian 256 | EE810,3.5,4.2,man,58.8,asian 257 | EE814,6,6.6,woman,38,black 258 | EE816,4,8.2,man,30.4,asian 259 | EE822,4.4,8.6,woman,28.5,asian 260 | EE823,5.8,5.8,woman,44.4,asian 261 | EE825,5.1,7.7,man,31.7,black 262 | EE827,5.3,4.7,woman,55.4,white 263 | EE830,4.5,5.6,man,48.7,white 264 | EE832,4,6.5,man,38.5,white 265 | EE833,4.6,6.5,woman,35.7,asian 266 | EE834,5.4,8.1,man,32.5,asian 267 | EE839,3.2,5.5,man,46.4,white 268 | EE840,4.9,8.8,man,26.3,asian 269 | EE845,3.8,5.2,woman,48.5,black 270 | EE850,4.4,6.9,woman,36.3,black 271 | EE856,5.8,8.3,man,30.1,asian 272 | EE861,4.6,8.8,man,27.2,black 273 | EE864,4.7,7,man,36.7,asian 274 | EE870,2.8,5.5,woman,45.3,black 275 | EE873,2.4,5.6,man,43.9,black 276 | EE874,4.3,7.1,man,37.5,asian 277 | EE877,3.9,6.6,woman,36.8,white 278 | EE879,4.4,7.9,man,31.7,asian 279 | EE880,4.9,9.1,man,25.4,black 280 | EE883,3.5,6.9,man,36.7,asian 281 | EE885,6.1,7.6,woman,34.6,asian 282 | EE886,3.4,6.1,woman,39,black 283 | EE887,5.4,7.7,man,33.5,asian 284 | EE895,3.8,6.4,man,38.4,black 285 | EE897,4.6,8.1,man,31,asian 286 | EE898,4.7,6.3,woman,38.9,black 287 | EE900,5.4,5.4,woman,49.5,white 288 | EE905,7,9.3,man,26.2,asian 289 | EE908,5.7,9.4,woman,28.4,asian 290 | EE909,5,9.1,man,26.1,asian 291 | EE910,5.2,5.8,woman,46.2,white 292 | EE912,4.8,5.7,woman,42.8,asian 293 | EE913,5.3,7.1,man,36.1,asian 294 | EE914,2.9,5.6,woman,44.1,white 295 | EE916,4.8,7.6,man,31.3,asian 296 | EE919,5.2,9.4,man,25.2,white 297 | EE925,3.9,7.5,man,33.5,white 298 | EE926,5.5,6.3,woman,42.8,black 299 | EE930,5.6,6.6,man,38.7,black 300 | EE931,3.2,7,man,34.1,white 301 | EE935,4.2,3.2,woman,73,white 302 | EE936,5.5,3.5,woman,75.2,white 303 | EE940,6.3,8,man,30.7,black 304 | EE941,5.6,8.5,man,27.7,black 305 | EE942,4.1,9.3,man,26.8,asian 306 | EE944,6.2,7.2,woman,35.6,black 307 | EE953,3.1,6.9,man,35.7,black 308 | EE954,5.6,7.2,woman,36.6,black 309 | EE960,5.3,6.8,woman,38.1,asian 310 | EE961,4.8,5.1,woman,49.4,asian 311 | EE962,5.1,5.5,woman,49.9,black 312 | EE963,5.8,10,man,24.8,asian 313 | EE966,4.5,7.7,woman,31.5,asian 314 | EE968,5.7,6.6,man,39.3,asian 315 | EE976,5.8,8.9,man,27.7,asian 316 | EE984,4.3,6.5,man,40.6,black 317 | EE985,5.7,5.8,woman,44.4,black 318 | EE986,3.3,5.7,woman,44.1,white 319 | EE987,4.4,7.1,woman,39.1,black 320 | EE992,3.8,8.2,woman,30.4,asian 321 | EE996,4.8,7.7,woman,29.6,black 322 | -------------------------------------------------------------------------------- /DisparateImpact.csv: -------------------------------------------------------------------------------- 1 | ID,Cognitive_Test,Gender 2 | 1,Pass,Man 3 | 2,Pass,Man 4 | 3,Pass,Man 5 | 4,Pass,Man 6 | 5,Pass,Man 7 | 6,Pass,Man 8 | 7,Pass,Man 9 | 8,Pass,Man 10 | 9,Pass,Man 11 | 10,Pass,Man 12 | 11,Pass,Man 13 | 12,Pass,Man 14 | 13,Pass,Man 15 | 14,Pass,Man 16 | 15,Pass,Man 17 | 16,Pass,Man 18 | 17,Pass,Man 19 | 18,Pass,Man 20 | 19,Pass,Man 21 | 20,Pass,Man 22 | 21,Pass,Man 23 | 22,Pass,Man 24 | 23,Pass,Man 25 | 24,Pass,Man 26 | 25,Pass,Man 27 | 26,Pass,Man 28 | 27,Pass,Man 29 | 28,Pass,Man 30 | 29,Pass,Man 31 | 30,Pass,Man 32 | 31,Pass,Man 33 | 32,Pass,Man 34 | 33,Pass,Man 35 | 34,Pass,Man 36 | 35,Pass,Man 37 | 36,Pass,Man 38 | 37,Pass,Man 39 | 38,Pass,Man 40 | 39,Pass,Man 41 | 40,Pass,Man 42 | 41,Pass,Man 43 | 42,Pass,Man 44 | 43,Pass,Man 45 | 44,Pass,Man 46 | 45,Pass,Man 47 | 46,Pass,Man 48 | 47,Pass,Man 49 | 48,Pass,Man 50 | 49,Pass,Man 51 | 50,Pass,Man 52 | 51,Pass,Man 53 | 52,Pass,Man 54 | 53,Pass,Man 55 | 54,Pass,Man 56 | 55,Pass,Man 57 | 56,Pass,Man 58 | 57,Pass,Man 59 | 58,Pass,Man 60 | 59,Pass,Man 61 | 60,Pass,Man 62 | 61,Pass,Man 63 | 62,Pass,Man 64 | 63,Pass,Man 65 | 64,Pass,Man 66 | 65,Pass,Man 67 | 66,Pass,Man 68 | 67,Pass,Man 69 | 68,Pass,Man 70 | 69,Pass,Man 71 | 70,Pass,Man 72 | 71,Fail,Man 73 | 72,Fail,Man 74 | 73,Fail,Man 75 | 74,Fail,Man 76 | 75,Fail,Man 77 | 76,Fail,Man 78 | 77,Fail,Man 79 | 78,Fail,Man 80 | 79,Fail,Man 81 | 80,Fail,Man 82 | 81,Fail,Man 83 | 82,Fail,Man 84 | 83,Fail,Man 85 | 84,Fail,Man 86 | 85,Fail,Man 87 | 86,Fail,Man 88 | 87,Fail,Man 89 | 88,Fail,Man 90 | 89,Fail,Man 91 | 90,Fail,Man 92 | 91,Fail,Man 93 | 92,Fail,Man 94 | 93,Fail,Man 95 | 94,Fail,Man 96 | 95,Fail,Man 97 | 96,Fail,Man 98 | 97,Fail,Man 99 | 98,Fail,Man 100 | 99,Fail,Man 101 | 100,Fail,Man 102 | 101,Fail,Man 103 | 102,Fail,Man 104 | 103,Fail,Man 105 | 104,Fail,Man 106 | 105,Fail,Man 107 | 106,Fail,Man 108 | 107,Fail,Man 109 | 108,Fail,Man 110 | 109,Fail,Man 111 | 110,Fail,Man 112 | 111,Fail,Man 113 | 112,Fail,Man 114 | 113,Fail,Man 115 | 114,Fail,Man 116 | 115,Fail,Man 117 | 116,Fail,Man 118 | 117,Fail,Man 119 | 118,Fail,Man 120 | 119,Fail,Man 121 | 120,Fail,Man 122 | 121,Fail,Man 123 | 122,Fail,Man 124 | 123,Fail,Man 125 | 124,Fail,Man 126 | 125,Fail,Man 127 | 126,Fail,Man 128 | 127,Fail,Man 129 | 128,Fail,Man 130 | 129,Fail,Man 131 | 130,Fail,Man 132 | 131,Fail,Man 133 | 132,Fail,Man 134 | 133,Fail,Man 135 | 134,Fail,Man 136 | 135,Fail,Man 137 | 136,Fail,Man 138 | 137,Fail,Man 139 | 138,Fail,Man 140 | 139,Fail,Man 141 | 140,Fail,Man 142 | 141,Fail,Man 143 | 142,Fail,Man 144 | 143,Fail,Man 145 | 144,Fail,Man 146 | 145,Fail,Man 147 | 146,Fail,Man 148 | 147,Fail,Man 149 | 148,Fail,Man 150 | 149,Fail,Man 151 | 150,Fail,Man 152 | 151,Fail,Man 153 | 152,Fail,Man 154 | 153,Fail,Man 155 | 154,Fail,Man 156 | 155,Fail,Man 157 | 156,Fail,Man 158 | 157,Fail,Man 159 | 158,Fail,Man 160 | 159,Fail,Man 161 | 160,Fail,Man 162 | 161,Pass,Woman 163 | 162,Pass,Woman 164 | 163,Pass,Woman 165 | 164,Pass,Woman 166 | 165,Pass,Woman 167 | 166,Pass,Woman 168 | 167,Pass,Woman 169 | 168,Pass,Woman 170 | 169,Pass,Woman 171 | 170,Pass,Woman 172 | 171,Pass,Woman 173 | 172,Pass,Woman 174 | 173,Pass,Woman 175 | 174,Pass,Woman 176 | 175,Pass,Woman 177 | 176,Pass,Woman 178 | 177,Pass,Woman 179 | 178,Pass,Woman 180 | 179,Pass,Woman 181 | 180,Pass,Woman 182 | 181,Pass,Woman 183 | 182,Pass,Woman 184 | 183,Pass,Woman 185 | 184,Pass,Woman 186 | 185,Pass,Woman 187 | 186,Pass,Woman 188 | 187,Pass,Woman 189 | 188,Pass,Woman 190 | 189,Pass,Woman 191 | 190,Pass,Woman 192 | 191,Pass,Woman 193 | 192,Pass,Woman 194 | 193,Pass,Woman 195 | 194,Pass,Woman 196 | 195,Pass,Woman 197 | 196,Pass,Woman 198 | 197,Pass,Woman 199 | 198,Pass,Woman 200 | 199,Pass,Woman 201 | 200,Pass,Woman 202 | 201,Pass,Woman 203 | 202,Pass,Woman 204 | 203,Fail,Woman 205 | 204,Fail,Woman 206 | 205,Fail,Woman 207 | 206,Fail,Woman 208 | 207,Fail,Woman 209 | 208,Fail,Woman 210 | 209,Fail,Woman 211 | 210,Fail,Woman 212 | 211,Fail,Woman 213 | 212,Fail,Woman 214 | 213,Fail,Woman 215 | 214,Fail,Woman 216 | 215,Fail,Woman 217 | 216,Fail,Woman 218 | 217,Fail,Woman 219 | 218,Fail,Woman 220 | 219,Fail,Woman 221 | 220,Fail,Woman 222 | 221,Fail,Woman 223 | 222,Fail,Woman 224 | 223,Fail,Woman 225 | 224,Fail,Woman 226 | 225,Fail,Woman 227 | 226,Fail,Woman 228 | 227,Fail,Woman 229 | 228,Fail,Woman 230 | 229,Fail,Woman 231 | 230,Fail,Woman 232 | 231,Fail,Woman 233 | 232,Fail,Woman 234 | 233,Fail,Woman 235 | 234,Fail,Woman 236 | 235,Fail,Woman 237 | 236,Fail,Woman 238 | 237,Fail,Woman 239 | 238,Fail,Woman 240 | 239,Fail,Woman 241 | 240,Fail,Woman 242 | 241,Fail,Woman 243 | 242,Fail,Woman 244 | 243,Fail,Woman 245 | 244,Fail,Woman 246 | 245,Fail,Woman 247 | 246,Fail,Woman 248 | 247,Fail,Woman 249 | 248,Fail,Woman 250 | 249,Fail,Woman 251 | 250,Fail,Woman 252 | 251,Fail,Woman 253 | 252,Fail,Woman 254 | 253,Fail,Woman 255 | 254,Fail,Woman 256 | 255,Fail,Woman 257 | 256,Fail,Woman 258 | 257,Fail,Woman 259 | 258,Fail,Woman 260 | 259,Fail,Woman 261 | 260,Fail,Woman 262 | 261,Fail,Woman 263 | 262,Fail,Woman 264 | 263,Fail,Woman 265 | 264,Fail,Woman 266 | 265,Fail,Woman 267 | 266,Fail,Woman 268 | 267,Fail,Woman 269 | 268,Fail,Woman 270 | 269,Fail,Woman 271 | 270,Fail,Woman 272 | 271,Fail,Woman 273 | 272,Fail,Woman 274 | 273,Fail,Woman 275 | 274,Fail,Woman 276 | -------------------------------------------------------------------------------- /EmployeeDemographics.csv: -------------------------------------------------------------------------------- 1 | EmployeeID,OrgTenureYrs_2019,JobLevel,Sex,RaceEthnicity,AgeYrs_2019,Veteran 2 | 1001,4.8,2,Female,Asian,49.8,No 3 | 1002,0.4,1,Male,Asian,25.4,No 4 | 1003,3.5,1,Male,HispanicLatino,23.5,No 5 | 1004,2.8,1,Female,White,40.8,No 6 | 1005,2.7,1,Female,HispanicLatino,28.7,No 7 | 1006,1.5,2,Male,HispanicLatino,50.5,No 8 | 1007,2.6,1,Female,HispanicLatino,23.2,Yes 9 | 1008,5.3,3,Male,Asian,61.3,No 10 | 1009,3.2,1,Male,White,40.2,No 11 | 1010,2.6,1,Female,Black,39.6,No 12 | 1011,4.6,2,Female,White,47.6,No 13 | 1012,2.5,1,Female,White,21.5,No 14 | 1013,0.8,1,Male,HispanicLatino,18.9,No 15 | 1014,2.5,1,Female,HispanicLatino,26.5,No 16 | 1015,4.5,2,Female,White,40.5,No 17 | 1016,5.1,1,Male,HispanicLatino,45.1,No 18 | 1017,4.5,1,Female,Asian,37.5,No 19 | 1018,0.5,1,Female,White,38.5,No 20 | 1019,3.1,1,Male,HispanicLatino,30.1,No 21 | 1020,5.1,2,Male,White,26.1,No 22 | 1021,2.5,1,Female,Asian,34.5,Yes 23 | 1022,4.4,1,Female,White,47.4,No 24 | 1023,2.4,3,Female,White,42.4,No 25 | 1024,NA,1,Male,HispanicLatino,NA,No 26 | 1025,2.4,1,Female,White,21.4,No 27 | 1026,2.4,1,Female,Asian,45.4,No 28 | 1027,5.0,5,Male,White,48.0,No 29 | 1028,4.4,1,Female,Asian,43.4,No 30 | 1029,0.9,1,Male,White,31.9,No 31 | 1030,4.9,2,Male,Asian,44.9,No 32 | 1031,2.9,1,Male,HispanicLatino,34.9,No 33 | 1032,2.4,1,Female,HispanicLatino,26.4,No 34 | 1033,4.4,2,Female,White,36.4,No 35 | 1034,2.8,5,Male,HispanicLatino,39.8,No 36 | 1035,4.8,3,Male,Asian,37.8,No 37 | 1036,0.8,1,Male,White,33.8,Yes 38 | 1037,4.8,2,Male,White,34.8,No 39 | 1038,2.8,2,Male,Asian,24.8,No 40 | 1039,4.8,5,Male,HispanicLatino,42.8,No 41 | 1040,2.7,1,Male,White,25.7,Yes 42 | 1041,4.4,2,Female,White,45.4,No 43 | 1042,4.6,3,Male,White,46.6,No 44 | 1043,4.4,2,Female,HispanicLatino,55.4,No 45 | 1044,2.3,3,Female,White,38.3,No 46 | 1045,0.6,1,Male,HispanicLatino,29.6,No 47 | 1046,0.6,1,Male,HispanicLatino,21.6,No 48 | 1047,4.6,3,Male,Asian,49.6,No 49 | 1048,2.6,1,Male,HispanicLatino,22.6,No 50 | 1049,4.4,2,Male,Asian,36.4,No 51 | 1050,4.4,5,Male,Asian,44.4,No 52 | 1051,2.3,2,Female,Asian,31.3,No 53 | 1052,4.2,2,Female,White,39.2,No 54 | 1053,2.4,2,Male,Asian,46.4,No 55 | 1054,2.4,1,Male,Asian,43.4,No 56 | 1055,4.2,2,Female,White,49.2,No 57 | 1056,2.2,1,Female,White,34.2,No 58 | 1057,4.1,2,Female,Asian,42.1,No 59 | 1058,2.1,1,Female,White,26.1,No 60 | 1059,4.4,2,Male,HispanicLatino,42.4,No 61 | 1060,0.1,1,Female,White,44.1,No 62 | 1061,2.1,1,Female,Asian,32.1,Yes 63 | 1062,4.0,2,Female,White,46.0,No 64 | 1063,4.4,3,Male,Asian,47.4,No 65 | 1064,2.4,1,Male,Asian,53.4,Yes 66 | 1065,2.3,2,Male,Black,37.3,No 67 | 1066,4.0,2,Female,White,44.0,No 68 | 1067,1.8,1,Female,HispanicLatino,22.8,No 69 | 1068,3.8,2,Female,White,46.8,No 70 | 1069,1.8,1,Female,HispanicLatino,42.8,No 71 | 1070,4.3,2,Male,HispanicLatino,47.3,Yes 72 | 1071,1.8,1,Female,White,38.8,No 73 | 1072,4.2,3,Male,HispanicLatino,39.2,No 74 | 1073,4.2,2,Male,Asian,42.2,No 75 | 1074,0.8,1,Female,Asian,25.8,No 76 | 1075,0.7,1,Female,Asian,26.7,No 77 | 1076,4.2,2,Male,White,52.2,Yes 78 | 1077,4.2,3,Male,Asian,37.2,No 79 | 1078,2.9,2,Male,Asian,43.9,No 80 | 1079,11.5,5,Male,White,51.5,No 81 | 1080,2.1,5,Male,Asian,33.1,No 82 | 1081,2.1,1,Male,HispanicLatino,22.8,No 83 | 1082,1.9,2,Male,Asian,43.9,No 84 | 1083,9.0,5,Female,White,45.0,No 85 | 1084,4.0,5,Male,Asian,42.0,No 86 | 1085,3.6,2,Female,HispanicLatino,51.6,No 87 | 1086,3.6,2,Female,White,49.6,No 88 | 1087,1.5,1,Female,Asian,38.5,No 89 | 1088,0.5,1,Female,HispanicLatino,31.5,No 90 | 1089,1.5,1,Female,Asian,59.5,No 91 | 1090,3.4,3,Female,Asian,44.4,No 92 | 1091,6.6,5,Male,HispanicLatino,53.6,No 93 | 1092,3.3,1,Female,HispanicLatino,41.3,No 94 | 1093,3.9,3,Male,White,35.9,No 95 | 1094,2.9,2,Female,White,41.9,No 96 | 1095,5.5,2,Female,White,44.5,No 97 | 1096,1.3,1,Female,Asian,33.3,No 98 | 1097,3.3,2,Female,Asian,45.3,No 99 | 1098,3.8,2,Male,White,32.8,No 100 | 1099,3.2,2,Female,HispanicLatino,33.2,No 101 | 1100,1.8,1,Male,HispanicLatino,23.8,No 102 | 1101,3.8,4,Male,HispanicLatino,39.8,No 103 | 1102,1.2,1,Female,White,46.2,Yes 104 | 1103,1.8,1,Male,Asian,40.8,No 105 | 1104,3.8,2,Male,White,35.8,No 106 | 1105,3.2,2,Female,Asian,28.2,No 107 | 1106,3.8,1,Male,White,34.8,No 108 | 1107,1.2,1,Female,HispanicLatino,34.2,Yes 109 | 1108,0.3,1,Female,Asian,37.3,No 110 | 1109,3.2,4,Male,Asian,36.2,No 111 | 1110,1.2,1,Female,Asian,33.2,No 112 | 1111,3.2,1,Female,HispanicLatino,33.2,No 113 | 1112,3.7,2,Male,Asian,40.7,No 114 | 1113,1.7,1,Male,Asian,22.7,No 115 | 1114,3.6,3,Male,White,46.6,No 116 | 1115,6.2,4,Male,Asian,41.2,No 117 | 1116,1.9,1,Female,Asian,44.9,No 118 | 1117,3.2,3,Female,HispanicLatino,37.2,No 119 | 1118,1.0,1,Female,White,43.0,No 120 | 1119,3.5,2,Male,HispanicLatino,34.5,No 121 | 1120,1.1,1,Female,White,39.1,No 122 | 1121,1.4,1,Male,Asian,36.4,No 123 | 1122,6.8,4,Male,HispanicLatino,44.8,No 124 | 1123,3.3,3,Male,Asian,41.3,No 125 | 1124,3.1,4,Female,HispanicLatino,49.1,No 126 | 1125,1.3,1,Male,HispanicLatino,23.3,No 127 | 1126,3.3,3,Male,HispanicLatino,34.3,No 128 | 1127,3.1,3,Female,HispanicLatino,39.1,No 129 | 1128,1.3,1,Male,White,28.3,No 130 | 1129,4.0,4,Male,Asian,37.0,No 131 | 1130,1.1,1,Female,HispanicLatino,43.1,No 132 | 1131,3.3,2,Male,White,47.3,No 133 | 1132,3.3,2,Male,Asian,25.3,No 134 | 1133,1.0,1,Female,White,27.0,No 135 | 1134,3.1,2,Female,Asian,42.1,No 136 | 1135,3.2,1,Male,White,40.2,No 137 | 1136,3.1,3,Female,HispanicLatino,48.1,No 138 | 1137,0.2,1,Female,White,33.2,No 139 | 1138,0.1,1,Male,Asian,18.1,Yes 140 | 1139,1.6,1,Male,White,27.6,No 141 | 1140,3.2,2,Male,Asian,32.2,No 142 | 1141,1.2,1,Male,White,24.2,No 143 | 1142,2.3,1,Female,White,36.3,No 144 | 1143,1.2,1,Male,Asian,32.2,No 145 | 1144,3.2,1,Male,HispanicLatino,47.2,No 146 | 1145,1.1,1,Female,White,33.1,Yes 147 | 1146,1.1,1,Female,Asian,38.1,No 148 | 1147,3.2,4,Male,Asian,50.2,No 149 | 1148,3.8,1,Female,HispanicLatino,24.8,No 150 | 1149,3.1,2,Female,White,53.1,No 151 | 1150,0.4,1,Female,HispanicLatino,33.4,Yes 152 | 1151,1.6,1,Female,HispanicLatino,24.6,No 153 | 1152,0.8,1,Male,HispanicLatino,40.8,No 154 | 1153,1.5,4,Male,Asian,42.5,No 155 | 1154,3.1,3,Female,White,37.1,No 156 | 1155,1.6,1,Female,White,19.6,No 157 | 1156,3.1,4,Female,HispanicLatino,49.1,No 158 | 1157,99999.0,1,Male,Asian,28.0,No 159 | 1158,1.2,1,Male,White,26.2,No 160 | 1159,3.2,2,Male,HispanicLatino,40.2,No 161 | 1160,3.1,4,Female,HispanicLatino,45.1,No 162 | 1161,1.2,1,Male,Asian,44.2,No 163 | 1162,1.1,1,Male,Asian,45.1,Yes 164 | 1163,0.2,1,Female,Black,31.2,No 165 | -------------------------------------------------------------------------------- /EmployeeSurveyData.csv: -------------------------------------------------------------------------------- 1 | EmployeeID,Unit,Supervisor,JobSat1,JobSat2,JobSat3,TurnInt1,TurnInt2,TurnInt3,Engage1,Engage2,Engage3,Engage4,Engage5,ExpIncivil1,ExpIncivil2,ExpIncivil3,ExpIncivil4,ExpIncivil5 2 | EID294,Marketing,EID373,3,3,3,3,3,3,2,1,2,2,3,2,2,3,2,2 3 | EID295,Marketing,EID373,2,3,2,3,4,2,2,1,3,3,3,2,2,2,2,1 4 | EID296,Marketing,EID373,2,2,3,3,3,3,1,1,2,1,2,2,1,2,2,2 5 | EID301,Marketing,EID367,2,2,3,4,4,4,3,2,3,2,2,3,3,3,4,3 6 | EID306,Marketing,EID367,2,2,2,4,4,4,3,2,3,4,3,2,3,3,3,3 7 | EID213,HumanResources,EID370,4,3,4,3,3,3,3,2,4,3,3,2,3,3,3,3 8 | EID217,HumanResources,EID370,3,3,2,3,2,2,3,2,3,3,4,2,2,3,3,2 9 | EID254,Manufacturing,EID371,4,4,4,2,2,2,3,2,3,3,2,1,2,2,2,2 10 | EID260,Manufacturing,EID371,3,4,4,2,2,2,3,2,2,1,2,2,2,1,2,2 11 | EID315,ResearchDevelopment,EID372,3,2,3,2,2,2,2,2,3,4,2,2,2,2,2,2 12 | EID317,ResearchDevelopment,EID372,3,3,5,3,4,3,3,2,3,4,4,2,2,4,2,3 13 | EID344,Sales,EID372,3,3,2,3,3,3,3,2,3,4,2,2,2,3,4,3 14 | EID357,Sales,EID372,4,4,3,3,3,3,3,2,3,4,3,2,2,3,3,3 15 | EID358,Sales,EID372,2,3,3,2,2,2,3,2,3,3,3,2,3,3,3,2 16 | EID252,Manufacturing,EID375,4,4,3,3,3,3,3,2,3,3,3,2,2,2,3,3 17 | EID354,Sales,EID377,3,3,3,3,3,3,3,2,3,4,2,3,2,3,3,3 18 | EID237,Manufacturing,EID380,1,2,2,4,3,3,2,2,2,2,1,2,3,3,3,4 19 | EID286,Manufacturing,EID380,3,3,3,4,4,3,3,2,2,3,3,3,2,4,3,3 20 | EID288,Manufacturing,EID380,2,2,2,3,3,3,2,2,2,2,3,2,2,2,3,3 21 | EID305,Marketing,EID367,3,3,5,3,2,2,5,3,3,3,3,2,2,2,2,2 22 | EID310,Marketing,EID367,3,3,3,4,3,4,3,3,2,3,3,2,3,2,2,2 23 | EID226,Manufacturing,EID368,2,2,3,4,3,4,3,3,4,4,4,2,2,2,2,3 24 | EID232,Manufacturing,EID368,2,3,2,4,4,4,3,3,3,3,3,3,2,3,3,3 25 | EID275,Manufacturing,EID368,4,4,4,2,2,3,3,3,3,3,5,2,2,3,3,3 26 | EID276,Manufacturing,EID368,3,4,2,3,3,3,2,3,3,3,2,3,3,2,2,3 27 | EID277,Manufacturing,EID368,4,4,4,4,3,4,4,3,4,4,4,2,3,3,2,2 28 | EID291,Manufacturing,EID368,4,4,4,2,1,1,3,3,3,2,3,2,2,1,2,1 29 | EID292,Manufacturing,EID368,3,3,4,4,3,4,3,3,3,3,4,3,3,3,3,3 30 | EID293,Manufacturing,EID368,3,3,4,3,3,2,3,3,3,4,4,3,3,3,4,3 31 | EID215,HumanResources,EID370,3,3,2,2,2,3,4,3,3,3,3,3,2,2,2,3 32 | EID218,HumanResources,EID370,4,3,4,3,2,2,3,3,2,4,3,2,2,2,3,2 33 | EID219,HumanResources,EID370,4,3,4,2,2,2,3,3,4,4,4,2,2,3,2,2 34 | EID220,HumanResources,EID370,3,3,4,3,3,3,4,3,4,4,3,2,2,2,2,2 35 | EID221,HumanResources,EID370,3,3,3,4,4,3,4,3,3,3,4,2,2,2,2,3 36 | EID225,Manufacturing,EID371,3,3,3,4,3,3,3,3,3,3,3,3,3,3,3,3 37 | EID236,Manufacturing,EID371,3,4,2,1,1,2,4,3,2,4,3,2,2,2,2,2 38 | EID253,Manufacturing,EID371,4,4,4,2,3,3,4,3,4,3,3,3,2,3,3,2 39 | EID319,ResearchDevelopment,EID372,5,5,4,3,2,3,3,3,4,4,4,3,2,2,3,3 40 | EID320,ResearchDevelopment,EID372,3,2,3,3,3,3,4,3,4,4,3,3,3,3,3,2 41 | EID322,ResearchDevelopment,EID372,3,2,3,3,3,2,4,3,4,4,4,1,2,2,3,1 42 | EID324,ResearchDevelopment,EID372,4,4,5,3,3,3,4,3,3,4,3,1,1,1,1,2 43 | EID328,ResearchDevelopment,EID372,3,3,3,3,3,3,3,3,4,4,4,2,2,2,2,3 44 | EID330,ResearchDevelopment,EID372,1,3,4,2,3,3,4,3,3,4,2,3,3,3,2,2 45 | EID331,Sales,EID372,2,3,2,3,3,3,4,3,3,4,4,2,3,2,3,2 46 | EID339,Sales,EID372,2,2,3,4,3,3,2,3,2,2,1,2,2,3,2,2 47 | EID340,Sales,EID372,3,3,2,2,2,2,3,3,3,3,4,1,2,2,2,2 48 | EID341,Sales,EID372,3,4,3,3,3,3,4,3,3,2,4,3,3,3,2,2 49 | EID349,Sales,EID372,3,4,4,4,3,2,3,3,3,3,3,3,2,2,3,2 50 | EID352,Sales,EID372,3,3,3,3,2,3,5,3,4,4,3,2,2,2,2,2 51 | EID356,Sales,EID372,3,3,4,3,3,3,3,3,4,3,3,2,3,3,3,2 52 | EID361,Sales,EID372,2,2,3,2,2,2,3,3,4,3,3,2,2,2,2,3 53 | EID302,Marketing,EID373,1,1,2,4,3,3,3,3,3,3,3,2,3,4,3,3 54 | EID334,Sales,EID374,3,3,4,2,2,3,4,3,4,3,3,1,1,2,2,2 55 | EID336,Sales,EID374,4,3,4,3,3,2,4,3,4,4,4,3,3,4,3,2 56 | EID278,Manufacturing,EID375,2,3,4,3,4,3,3,3,3,4,5,2,3,3,2,3 57 | EID338,Sales,EID376,3,3,4,2,2,3,4,3,4,4,3,1,2,1,3,1 58 | EID343,Sales,EID376,4,4,4,3,3,2,4,3,4,3,4,2,2,3,2,1 59 | EID363,Sales,EID376,3,3,3,2,2,2,3,3,3,4,3,2,2,3,3,3 60 | EID366,Sales,EID376,2,3,4,3,3,2,4,3,3,4,2,2,2,3,3,3 61 | EID350,Sales,EID377,3,3,5,2,3,2,4,3,3,4,4,2,2,2,2,2 62 | EID230,Manufacturing,EID380,2,2,2,3,3,3,3,3,3,2,3,3,3,4,2,3 63 | EID235,Manufacturing,EID380,3,3,3,3,3,3,4,3,3,4,3,2,2,3,2,2 64 | EID242,Manufacturing,EID380,4,4,3,3,3,4,4,3,4,4,3,2,2,3,3,4 65 | EID243,Manufacturing,EID380,3,3,5,4,3,4,3,3,3,3,3,2,3,3,2,3 66 | EID247,Manufacturing,EID380,3,2,2,4,4,4,3,3,3,2,3,2,2,2,3,2 67 | EID250,Manufacturing,EID380,2,3,3,3,3,3,2,3,3,3,2,2,2,1,2,2 68 | EID283,Manufacturing,EID380,2,3,3,4,4,3,4,3,3,4,4,2,2,2,1,2 69 | EID289,Manufacturing,EID380,4,5,3,2,2,2,4,3,4,4,3,2,2,2,2,2 70 | EID290,Manufacturing,EID380,3,3,3,4,3,3,3,3,2,3,3,3,3,4,2,4 71 | EID371,Manufacturing,EID381,4,4,3,3,4,3,4,3,4,5,4,2,2,1,3,3 72 | EID227,Manufacturing,EID382,2,3,4,4,4,3,4,3,3,3,3,2,3,3,3,3 73 | EID228,Manufacturing,EID382,3,3,4,3,3,3,3,3,3,2,3,2,2,2,2,2 74 | EID238,Manufacturing,EID382,3,4,5,3,3,3,5,3,3,5,5,1,2,2,2,3 75 | EID249,Manufacturing,EID382,3,3,3,3,3,3,3,3,3,3,2,1,2,2,1,2 76 | EID261,Manufacturing,EID382,3,3,3,3,3,4,4,3,4,4,4,2,2,2,3,3 77 | EID262,Manufacturing,EID382,4,3,4,5,4,3,3,3,4,3,3,2,2,2,2,3 78 | EID264,Manufacturing,EID382,3,2,3,4,5,4,4,3,2,3,3,1,2,3,3,3 79 | EID270,Manufacturing,EID382,3,3,4,3,3,2,4,3,3,3,3,2,2,2,2,2 80 | EID271,Manufacturing,EID382,3,3,2,2,2,3,2,3,2,3,2,2,2,2,2,3 81 | EID272,Manufacturing,EID382,2,4,2,5,4,4,3,3,3,2,3,2,3,3,3,4 82 | EID274,Manufacturing,EID382,4,4,3,3,3,3,4,3,4,4,3,3,3,3,3,3 83 | EID279,Manufacturing,EID382,3,3,4,3,2,3,4,3,4,3,3,3,2,3,3,3 84 | EID280,Manufacturing,EID382,2,2,3,4,4,4,3,3,3,3,3,2,3,3,3,3 85 | EID284,Manufacturing,EID382,2,2,2,4,3,3,3,3,2,2,3,2,3,3,3,2 86 | EID287,Manufacturing,EID382,3,3,3,4,4,3,4,3,3,3,2,1,2,2,3,2 87 | EID297,Marketing,EID367,2,3,2,3,3,3,3,4,4,4,3,2,2,2,2,4 88 | EID299,Marketing,EID367,3,3,4,3,3,3,3,4,3,3,3,2,2,2,2,2 89 | EID303,Marketing,EID367,3,3,5,2,2,2,4,4,4,4,4,2,2,3,3,3 90 | EID307,Marketing,EID367,3,3,3,4,4,4,5,4,4,5,4,3,3,4,3,3 91 | EID309,Marketing,EID367,3,4,5,3,2,2,4,4,3,4,3,2,3,3,3,3 92 | EID222,Manufacturing,EID368,4,4,4,3,3,2,4,4,4,4,4,1,2,2,3,2 93 | EID241,Manufacturing,EID368,4,4,4,3,2,2,5,4,4,5,4,2,2,2,2,2 94 | EID244,Manufacturing,EID368,4,4,4,3,2,2,4,4,4,4,4,2,3,3,2,2 95 | EID246,Manufacturing,EID368,3,3,3,2,2,2,4,4,4,4,3,3,3,3,3,2 96 | EID256,Manufacturing,EID368,3,4,3,3,3,2,5,4,2,4,4,3,3,3,3,3 97 | EID257,Manufacturing,EID368,4,4,3,3,3,3,3,4,4,5,5,3,3,4,4,3 98 | EID258,Manufacturing,EID368,3,3,3,3,3,3,3,4,3,4,3,3,2,2,2,2 99 | EID268,Manufacturing,EID368,3,3,3,3,3,3,4,4,3,3,4,2,3,2,3,2 100 | EID211,HumanResources,EID370,3,4,3,3,4,3,4,4,3,5,4,2,2,2,2,3 101 | EID214,HumanResources,EID370,4,3,3,3,3,4,3,4,4,4,4,2,2,3,3,3 102 | EID216,HumanResources,EID370,2,3,3,3,2,3,4,4,5,4,3,2,4,3,3,3 103 | EID259,Manufacturing,EID371,5,5,4,2,2,2,4,4,4,4,4,2,2,2,3,2 104 | EID313,ResearchDevelopment,EID372,3,3,3,3,2,2,4,4,5,3,4,3,3,3,3,2 105 | EID314,ResearchDevelopment,EID372,4,4,4,3,2,3,4,4,4,5,4,2,2,2,2,2 106 | EID316,ResearchDevelopment,EID372,2,2,2,4,3,4,4,4,3,3,3,3,3,3,3,3 107 | EID318,ResearchDevelopment,EID372,4,4,2,3,3,3,4,4,4,4,4,1,2,2,3,2 108 | EID321,ResearchDevelopment,EID372,3,3,4,3,3,2,4,4,3,4,3,1,2,2,3,3 109 | EID323,ResearchDevelopment,EID372,4,4,5,3,2,2,4,4,3,3,4,2,2,2,3,3 110 | EID325,ResearchDevelopment,EID372,4,4,4,2,2,1,4,4,3,4,4,1,1,2,2,2 111 | EID326,ResearchDevelopment,EID372,2,2,3,3,3,3,4,4,4,3,3,2,2,2,2,2 112 | EID327,ResearchDevelopment,EID372,5,4,3,2,2,3,4,4,4,4,5,2,2,3,2,1 113 | EID329,ResearchDevelopment,EID372,3,3,3,3,3,2,3,4,4,4,3,2,2,3,3,2 114 | EID335,Sales,EID372,4,3,4,3,3,2,4,4,4,5,4,2,2,2,2,3 115 | EID337,Sales,EID372,4,4,5,2,2,2,4,4,5,5,5,2,2,3,3,3 116 | EID351,Sales,EID372,4,3,3,3,4,4,4,4,4,4,4,2,2,3,3,2 117 | EID355,Sales,EID372,3,4,5,3,3,3,3,4,4,3,3,2,3,2,3,3 118 | EID360,Sales,EID372,3,4,4,3,2,2,4,4,4,4,3,2,1,2,2,1 119 | EID362,Sales,EID372,3,3,3,4,4,4,3,4,4,3,3,3,3,3,4,3 120 | EID300,Marketing,EID373,3,3,3,2,2,3,5,4,4,4,3,2,2,2,3,2 121 | EID304,Marketing,EID373,4,4,5,1,2,2,4,4,5,4,3,1,2,2,2,3 122 | EID311,Marketing,EID373,3,3,4,4,3,4,3,4,3,4,3,2,3,3,4,2 123 | EID312,Marketing,EID373,3,3,3,3,2,3,4,4,3,4,4,2,2,2,2,3 124 | EID372,Sales,EID374,4,4,4,2,2,2,4,4,4,5,4,2,2,2,3,3 125 | EID233,Manufacturing,EID375,3,4,4,2,3,3,4,4,3,3,3,1,2,1,3,3 126 | EID267,Manufacturing,EID375,2,3,3,4,3,4,4,4,3,4,3,2,2,2,3,3 127 | EID285,Manufacturing,EID375,4,4,4,2,2,3,4,4,4,4,4,1,2,2,2,3 128 | EID332,Sales,EID376,4,4,4,4,3,3,4,4,4,4,4,2,3,3,2,2 129 | EID345,Sales,EID376,3,4,4,3,3,3,4,4,3,4,4,2,2,2,2,3 130 | EID346,Sales,EID376,3,2,3,3,3,4,4,4,3,4,4,3,3,4,4,3 131 | EID348,Sales,EID376,4,3,4,4,3,4,3,4,4,4,4,2,2,2,1,3 132 | EID359,Sales,EID376,3,4,4,3,3,3,5,4,4,5,5,2,2,3,3,2 133 | EID365,Sales,EID376,4,5,4,2,2,2,4,4,4,5,3,2,2,2,2,2 134 | EID353,Sales,EID377,3,3,3,3,2,2,5,4,4,4,4,2,3,2,3,2 135 | EID370,HumanResources,EID379,2,2,2,3,3,3,4,4,5,4,5,2,3,2,3,2 136 | EID223,Manufacturing,EID380,4,4,5,2,1,2,4,4,4,4,4,2,2,2,2,2 137 | EID224,Manufacturing,EID380,2,3,3,4,4,4,4,4,4,4,3,3,3,4,3,3 138 | EID239,Manufacturing,EID380,3,4,3,2,2,2,4,4,5,4,4,2,2,3,3,2 139 | EID240,Manufacturing,EID380,3,3,4,2,3,3,4,4,3,4,3,3,3,4,4,3 140 | EID245,Manufacturing,EID380,3,4,5,4,3,2,4,4,4,4,4,2,2,2,3,1 141 | EID251,Manufacturing,EID380,3,3,4,4,4,3,5,4,3,4,4,2,3,2,2,2 142 | EID229,Manufacturing,EID382,3,3,4,2,2,3,3,4,4,3,4,2,2,3,3,3 143 | EID263,Manufacturing,EID382,2,1,2,3,3,3,4,4,3,4,3,2,2,2,3,3 144 | EID265,Manufacturing,EID382,2,2,3,4,3,4,3,4,3,3,3,2,2,3,2,3 145 | EID269,Manufacturing,EID382,4,4,4,2,3,3,4,4,4,4,4,2,2,2,1,2 146 | EID273,Manufacturing,EID382,2,2,3,4,4,4,4,4,4,5,4,3,3,3,3,3 147 | EID281,Manufacturing,EID382,5,4,5,3,3,3,4,4,3,5,5,2,2,2,2,2 148 | EID308,Marketing,EID367,4,3,5,2,2,2,5,5,5,5,5,3,2,3,2,3 149 | EID231,Manufacturing,EID368,3,4,3,3,3,2,4,5,3,4,4,2,2,2,3,2 150 | EID378,Manufacturing,EID369,3,4,4,3,3,3,5,5,4,5,4,2,3,3,3,3 151 | EID255,Manufacturing,EID371,3,4,3,2,2,2,5,5,5,5,5,2,3,3,2,2 152 | EID333,Sales,EID372,3,3,4,3,3,3,4,5,4,5,4,2,3,3,3,3 153 | EID347,Sales,EID372,4,4,4,3,3,2,5,5,5,5,5,3,2,3,3,3 154 | EID298,Marketing,EID373,4,4,3,3,3,2,5,5,5,4,4,2,2,2,2,3 155 | EID234,Manufacturing,EID375,4,3,4,4,3,3,4,5,4,4,4,2,3,3,3,3 156 | EID364,Sales,EID376,5,5,4,2,3,3,5,5,4,5,5,2,3,3,4,3 157 | EID248,Manufacturing,EID380,4,5,4,1,1,1,4,5,4,5,5,2,1,2,2,1 158 | -------------------------------------------------------------------------------- /EmployeeSurveyExample.csv: -------------------------------------------------------------------------------- 1 | SurveyID,JobSat1,JobSat2_rev,JobSat3,TurnInt1,TurnInt2,TurnInt3,Engage1,Engage2,Engage3,Engage4,Engage5,ExpIncivil1,ExpIncivil2,ExpIncivil3,ExpIncivil4,ExpIncivil5_rev,Gender,Age,Tenure_Yrs,Location 2 | 1,3,3,3,3,3,3,2,1,2,2,3,2,2,3,2,4,Man,35,8.5,Seattle 3 | 2,4,2,4,3,3,2,4,4,4,4,4,1,2,2,3,4,Woman,42,3.9,Boise 4 | 3,4,2,5,2,1,2,4,4,4,4,4,2,2,2,2,4,Man,30,8.4,Portland 5 | 4,2,3,3,4,4,4,4,4,4,4,3,3,3,4,3,3,Man,50,1.9,Boise 6 | 5,3,3,3,4,3,3,3,3,3,3,3,3,3,3,3,3,Woman,56,5.2,Seattle 7 | 6,3,3,3,3,2,2,4,4,5,3,4,3,3,3,3,4,Man,50,4.8,Seattle 8 | 7,2,4,3,4,3,4,3,3,4,4,4,2,2,2,2,3,Woman,33,9.3,Seattle 9 | 8,2,3,2,3,3,3,4,3,3,4,4,2,3,2,3,4,Woman,25,10.7,Seattle 10 | 9,4,2,4,3,2,3,4,4,4,5,4,2,2,2,2,4,Man,30,9.4,Seattle 11 | 10,2,,4,4,4,3,4,3,3,3,3,2,3,3,3,3,Woman,55,4.9,Seattle 12 | 11,3,3,4,3,3,3,3,3,3,2,3,2,2,2,2,4,Man,41,10.6, 13 | 12,3,3,4,2,2,3,3,4,4,3,4,2,2,3,3,3,Man,37,14.2,Boise 14 | 13,4,2,4,4,3,3,4,4,4,4,4,2,3,3,2,4,Man,48,11.0,Seattle 15 | 14,2,4,2,3,3,3,3,3,3,2,3,3,3,4,2,3,Man,31,0.4,Seattle 16 | 15,3,2,3,3,3,2,4,5,3,4,4,2,2,2,3,4,Man,34,5.6,Seattle 17 | 16,3,3,4,3,3,3,4,5,4,5,4,2,3,3,3,3,Man,50,7.5,Seattle 18 | 17,3,3,4,2,2,3,4,3,4,3,3,1,1,2,2,4,Man,36,15.6,Seattle 19 | 18,2,3,2,3,4,2,2,1,3,3,3,2,2,2,2,5,Woman,45,6.7,Portland 20 | 19,2,3,2,,,,3,3,3,3,3,,,,,,,,, 21 | 20,3,2,4,2,3,3,4,4,3,3,3,1,2,1,3,3,Man,52,6.9,Seattle 22 | 21,4,3,4,4,3,3,4,5,4,4,4,2,3,3,3,3,Man,46,7.2,Seattle 23 | 22,3,3,3,3,3,3,4,3,3,4,3,2,2,3,2,4,Man,37,11.2,Portland 24 | 23,2,4,3,3,3,3,1,1,2,1,2,2,1,2,2,4,Man,51,7.7,Portland 25 | 24,3,,2,1,1,2,4,3,2,4,3,2,2,2,2,4,Man,37,6.0,Seattle 26 | 25,4,3,4,3,3,2,4,4,4,5,4,2,2,2,2,3,Man,35,5.0,Seattle 27 | 26,4,3,4,3,3,2,4,3,4,4,4,3,3,4,3,4,Woman,37,6.7,Portland 28 | 27,1,4,2,4,3,3,2,2,2,2,1,2,3,3,3,2,Woman,23,2.1,Seattle 29 | 28,3,2,5,3,3,3,5,3,3,5,5,1,2,2,2,3,Man,61,7.0,Seattle 30 | 29,3,4,3,2,2,2,2,2,3,4,2,2,2,2,2,4,Woman,58,6.2,Seattle 31 | 30,2,3,2,3,3,3,3,4,4,4,3,2,2,2,2,2,Woman,65,14.8,Seattle 32 | 31,4,2,5,2,2,2,4,4,5,5,5,2,2,3,3,3,Woman,66,9.8,Seattle 33 | 32,3,2,3,2,2,2,4,4,5,4,4,2,2,3,3,4,Man,42,4.8,Boise 34 | 33,3,3,4,2,2,3,4,3,4,4,3,1,2,1,3,5,Woman,61,12.3,Seattle 35 | 34,2,4,2,4,3,4,4,4,3,3,3,3,3,3,3,3,Woman,37,5.5,Portland 36 | 35,3,3,4,2,3,3,4,4,3,4,3,3,3,4,4,3,Man,47,12.1,Portland 37 | 36,2,4,3,4,3,3,2,3,2,2,1,2,2,3,2,4,Woman,42,4.8,Portland 38 | 37,4,2,4,3,2,2,5,4,4,5,4,2,2,2,2,4,Woman,29,7.5,Seattle 39 | 38,4,2,3,3,3,2,5,5,5,4,4,2,2,2,2,3,Woman,51,8.7,Portland 40 | 39,3,3,2,2,2,2,3,3,3,3,4,1,2,2,2,4,Woman,25,3.4,Portland 41 | 40,4,2,3,3,3,4,4,3,4,4,3,2,2,3,3,2,Woman,38,8.1,Seattle 42 | 41,3,2,3,3,3,3,4,3,3,2,4,3,3,3,2,4,Man,58,7.5,Portland 43 | 42,3,3,5,4,3,4,3,3,3,3,3,2,3,3,2,3,Woman,59,9.0,Portland 44 | 43,3,3,5,3,4,3,3,2,3,4,4,2,2,4,2,3,Woman,35,10.9,Boise 45 | 44,4,2,4,3,2,2,4,4,4,4,4,2,3,3,2,4,Woman,34,, 46 | 45,4,2,2,3,3,3,4,4,4,4,4,1,2,2,3,4,Man,31,0.6,Portland 47 | 46,3,2,5,4,3,2,4,4,4,4,4,2,2,2,3,5,Man,43,7.9,Seattle 48 | 47,3,3,4,3,3,3,3,4,3,3,3,2,2,2,2,4,Woman,38,8.6,Portland 49 | 48,4,2,4,2,2,2,4,4,4,5,4,2,2,2,3,3,Man,41,8.8,Seattle 50 | 49,4,2,4,3,3,2,4,3,4,3,4,2,2,3,2,5,Man,58,11.6,Seattle 51 | 50,3,3,3,,,,4,4,4,4,3,,,,,,,,3.9,Portland 52 | 51,3,4,2,4,4,4,3,3,3,2,3,2,2,2,3,4,Woman,32,4.6,Portland 53 | 52,4,1,4,1,1,1,4,5,4,5,5,2,1,2,2,5,Man,56,12.3,Boise 54 | 53,3,3,3,3,3,3,3,3,3,3,2,1,2,2,1,4,Woman,38,9.4,Boise 55 | 54,2,3,3,3,3,3,2,3,3,3,2,2,2,1,2,4,Man,61,16.9,Seattle 56 | 55,3,3,2,3,3,3,3,2,3,4,2,2,2,3,4,3,Woman,23,3.0,Seattle 57 | 56,3,2,4,3,3,3,4,4,3,4,4,2,2,2,2,3,Woman,55,8.9,Seattle 58 | 57,3,3,3,2,2,3,5,4,4,4,3,2,2,2,3,4,Man,23,1.5,Portland 59 | 58,3,4,3,3,3,4,4,4,3,4,4,3,3,4,4,3,Man,35,10.4,Portland 60 | 59,3,,4,4,4,3,5,4,3,4,4,2,3,2,2,4,Man,28,6.2,Portland 61 | 60,4,2,3,3,3,3,3,2,3,3,3,2,2,2,3,3,Woman,44,12.3,Seattle 62 | 61,4,2,4,2,3,3,4,3,4,3,3,3,2,3,3,4,Man,27,1.1,Seattle 63 | 62,4,2,4,3,3,2,5,5,5,5,5,3,2,3,3,3,Man,36,11.1,Seattle 64 | 63,4,2,4,2,2,2,3,2,3,3,2,1,2,2,2,4,Woman,33,8.4,Seattle 65 | 64,3,2,3,2,2,2,5,5,5,5,5,2,3,3,2,4,Man,45,6.9,Seattle 66 | 65,4,3,4,4,3,4,3,4,4,4,4,2,2,2,1,3,Man,33,, 67 | 66,3,2,3,3,4,3,4,4,3,5,4,2,2,2,2,3,Woman,28,2.8, 68 | 67,3,2,3,3,3,2,5,4,2,4,4,3,3,3,3,3,Woman,46,11.2,Seattle 69 | 68,4,2,3,3,3,3,3,4,4,5,5,3,3,4,4,3,Woman,51,7.8,Boise 70 | 69,2,4,2,3,3,3,4,4,5,4,5,2,3,2,3,4,Woman,47,6.7,Boise 71 | 70,3,2,4,4,3,2,3,3,3,3,3,3,2,2,3,4,Woman,38,9.7,Boise 72 | 71,5,1,4,3,2,3,3,3,4,4,4,3,2,2,3,3,Man,55,12.1,Boise 73 | 72,3,3,3,3,3,3,3,4,3,4,3,3,2,2,2,4,Woman,35,6.2,Seattle 74 | 73,5,1,4,2,2,2,4,4,4,4,4,2,2,2,3,4,Man,50,6.4,Seattle 75 | 74,3,4,3,3,3,3,4,3,4,4,3,3,3,3,3,4,Man,52,9.0,Portland 76 | 75,4,3,4,3,3,3,3,2,4,3,3,2,3,3,3,3,Man,55,11.0,Seattle 77 | 76,3,3,4,3,3,2,4,4,3,4,3,1,2,2,3,3,Man,32,8.8,Seattle 78 | 77,3,3,5,2,3,2,4,3,3,4,4,2,2,2,2,4,Woman,59,5.5,Seattle 79 | 78,3,2,4,2,2,2,3,2,2,1,2,2,2,1,2,4,Man,54,11.8,Portland 80 | 79,4,3,3,3,4,4,4,4,4,4,4,2,2,3,3,4,Man,28,8.6,Seattle 81 | 80,4,3,3,3,3,4,3,4,4,4,4,2,2,3,3,3,Woman,43,4.4,Portland 82 | 81,3,3,3,3,3,4,4,3,4,4,4,2,2,2,3,3,Man,23,0.7,Seattle 83 | 82,4,3,4,5,4,3,3,3,4,3,3,2,2,2,2,3,Man,58,7.9,Portland 84 | 83,3,4,3,3,3,2,4,3,4,4,4,1,2,2,3,5,Woman,28,7.8,Seattle 85 | 84,4,2,5,3,2,2,4,4,3,3,4,2,2,2,3,3,Man,55,12.7,Portland 86 | 85,2,5,2,3,3,3,4,4,3,4,3,2,2,2,3,3,Man,24,12.3,Boise 87 | 86,3,4,3,4,5,4,4,3,2,3,3,1,2,3,3,3,Woman,23,2.2,Boise 88 | 87,2,4,3,4,3,4,3,4,3,3,3,2,2,3,2,3,Woman,35,2.5,Boise 89 | 88,3,3,3,3,2,3,5,3,4,4,3,2,2,2,2,4,Woman,37,5.7,Boise 90 | 89,3,3,3,3,2,2,5,4,4,4,4,2,3,2,3,4,Man,60,9.1,Boise 91 | 90,3,3,3,3,3,3,3,2,3,4,2,3,2,3,3,3,Woman,58,5.9,Seattle 92 | 91,2,4,3,4,4,4,3,2,3,2,2,3,3,3,4,3,Man,62,12.0,Seattle 93 | 92,1,5,2,4,3,3,3,3,3,3,3,2,3,4,3,3,Woman,55,9.8,Seattle 94 | 93,3,3,5,2,2,2,4,4,4,4,4,2,2,3,3,3,Woman,55,12.3,Seattle 95 | 94,4,2,3,3,4,3,4,3,4,5,4,2,2,1,3,3,Man,28,6.4,Seattle 96 | 95,4,2,5,1,2,2,4,4,5,4,3,1,2,2,2,3,Woman,47,11.3,Seattle 97 | 96,2,3,3,4,3,4,4,4,3,4,3,2,2,2,3,3,Woman,60,12.9,Seattle 98 | 97,3,3,3,3,3,3,4,4,3,3,4,2,3,2,3,4,Man,27,4.9,Portland 99 | 98,4,2,4,2,3,3,4,4,4,4,4,2,2,2,1,4,Man,24,3.7,Portland 100 | 99,4,2,5,3,3,3,4,3,3,4,3,1,1,1,1,4,Man,33,11.1,Seattle 101 | 100,3,3,4,3,3,2,4,3,3,3,3,2,2,2,2,4,Man,25,11.2,Boise 102 | 101,3,3,5,3,2,2,5,3,3,3,3,2,2,2,2,4,Woman,54,11.0,Seattle 103 | 102,3,3,2,2,2,3,2,3,2,3,2,2,2,2,2,3,Man,18,0.2,Boise 104 | 103,3,3,2,2,2,3,4,3,3,3,3,3,2,2,2,3,Man,29,9.6,Boise 105 | 104,2,2,2,5,4,4,3,3,3,2,3,2,3,3,3,2,Man,44,5.9,Seattle 106 | 105,2,4,3,4,4,4,4,4,4,5,4,3,3,3,3,3,Woman,64,4.0,Seattle 107 | 106,2,4,2,4,4,4,3,2,3,4,3,2,3,3,3,3,Woman,43,6.5,Seattle 108 | 107,4,2,3,3,3,3,4,3,4,4,3,3,3,3,3,3,Man,40,8.2,Portland 109 | 108,4,2,4,2,2,3,3,3,3,3,5,2,2,3,3,3,Woman,35,9.1,Portland 110 | 109,3,2,2,3,3,3,2,3,3,3,2,3,3,2,2,3,Woman,19,1.2,Boise 111 | 110,2,3,3,3,2,3,4,4,5,4,3,2,4,3,3,3,Man,51,, 112 | 111,3,3,2,3,2,2,3,2,3,3,4,2,2,3,3,4,Woman,53,9.8,Portland 113 | 112,3,2,5,3,3,3,3,4,4,3,3,2,3,2,3,3,Man,24,5.6,Portland 114 | 113,3,3,4,3,3,3,3,3,4,3,3,2,3,3,3,4,Woman,63,1.5,Seattle 115 | 114,4,2,4,2,2,1,4,4,3,4,4,1,1,2,2,4,Man,54,8.3,Portland 116 | 115,4,2,4,4,3,4,4,3,4,4,4,2,3,3,2,4,Man,51,13.3,Boise 117 | 116,4,3,4,3,2,2,3,3,2,4,3,2,2,2,3,4,Man,56,7.7,Seattle 118 | 117,3,3,3,4,4,4,5,4,4,5,4,3,3,4,3,3,Man,24,1.6,Portland 119 | 118,2,3,4,3,4,3,3,3,3,4,5,2,3,3,2,3,Woman,44,15.2, 120 | 119,3,3,4,3,2,3,4,3,4,3,3,3,2,3,3,3,Man,31,10.3,Portland 121 | 120,4,2,3,3,3,3,3,2,3,4,3,2,2,3,3,3,Woman,52,12.5,Portland 122 | 121,2,4,3,3,3,3,4,4,4,3,3,2,2,2,2,4,Man,29,8.1,Seattle 123 | 122,2,4,3,4,4,4,3,3,3,3,3,2,3,3,3,3,Man,57,6.9,Seattle 124 | 123,5,2,3,2,2,3,4,4,4,4,5,2,2,3,2,5,Man,29,8.5,Boise 125 | 124,5,2,5,3,3,3,4,4,3,5,5,2,2,2,2,4,Man,30,8.1,Portland 126 | 125,4,3,4,2,2,2,3,3,4,4,4,2,2,3,2,4,Woman,46,8.3,Portland 127 | 126,4,3,5,2,2,2,5,5,5,5,5,3,2,3,2,3,Man,59,10.5,Boise 128 | 127,3,2,4,3,3,3,5,5,4,5,4,2,3,3,3,3,Man,50,5.9,Boise 129 | 128,3,2,5,3,2,2,4,4,3,4,3,2,3,3,3,3,Woman,61,2.7,Seattle 130 | 129,2,3,3,4,4,3,4,3,3,4,4,2,2,2,1,4,Woman,55,9.0,Seattle 131 | 130,3,3,4,3,3,3,4,3,4,4,3,2,2,2,2,4,Man,52,13.2,Seattle 132 | 131,3,3,3,3,3,3,3,3,4,4,4,2,2,2,2,3,Woman,55,2.2,Portland 133 | 132,2,4,2,4,3,3,3,3,2,2,3,2,3,3,3,4,Woman,29,9.4,Seattle 134 | 133,2,3,3,2,2,2,3,2,3,3,3,2,3,3,3,4,Man,48,11.8,Seattle 135 | 134,4,2,4,2,2,3,4,4,4,4,4,1,2,2,2,3,Man,53,8.9,Boise 136 | 135,3,2,4,3,3,3,5,4,4,5,5,2,2,3,3,4,Woman,62,9.4,Boise 137 | 136,3,3,3,4,4,3,3,2,2,3,3,3,2,4,3,3,Woman,66,11.6,Seattle 138 | 137,3,2,4,3,2,2,4,4,4,4,3,2,1,2,2,5,Woman,64,9.7,Seattle 139 | 138,3,3,3,4,4,3,4,3,3,3,2,1,2,2,3,4,Man,61,6.6,Seattle 140 | 139,2,4,3,2,2,2,3,3,4,3,3,2,2,2,2,3,Woman,35,12.1,Seattle 141 | 140,3,3,3,4,4,3,4,3,3,3,4,2,2,2,2,3,Man,38,12.0,Portland 142 | 141,3,3,3,4,3,4,3,3,2,3,3,2,3,2,2,4,Man,35,6.7,Seattle 143 | 142,2,4,2,3,3,3,2,2,2,2,3,2,2,2,3,3,Man,66,7.0,Seattle 144 | 143,3,3,3,4,4,4,3,4,4,3,3,3,3,3,4,3,Man,53,8.4,Portland 145 | 144,3,3,3,2,2,2,3,3,3,4,3,2,2,3,3,3,Woman,65,8.5,Portland 146 | 145,3,3,4,4,3,4,3,4,3,4,3,2,3,3,4,4,Woman,47,10.8, 147 | 146,3,3,3,3,3,2,3,4,4,4,3,2,2,3,3,4,Man,38,9.6,Portland 148 | 147,1,3,4,2,3,3,4,3,3,4,2,3,3,3,2,4,Man,30,13.2,Seattle 149 | 148,4,1,3,2,2,2,4,3,4,4,3,2,2,2,2,4,,,13.4,Seattle 150 | 149,3,,3,4,3,3,3,3,2,3,3,3,3,4,2,2,Woman,38,14.8,Portland 151 | 150,5,1,4,2,3,3,5,5,4,5,5,2,3,3,4,3,Woman,57,8.2,Seattle 152 | 151,4,2,4,2,1,1,3,3,3,2,3,2,2,1,2,5,Man,65,8.5,Seattle 153 | 152,3,3,4,4,3,4,3,3,3,3,4,3,3,3,3,3,Woman,36,6.4,Seattle 154 | 153,3,3,3,3,2,3,4,4,3,4,4,2,2,2,2,3,Man,30,6.6, 155 | 154,3,3,4,3,3,2,3,3,3,4,4,3,3,3,4,3,Man,29,8.1,Seattle 156 | 155,4,1,4,2,2,2,4,4,4,5,3,2,2,2,2,4,Man,49,6.2,Seattle 157 | 156,2,3,4,3,3,2,4,3,3,4,2,2,2,3,3,3,Man,19,0.3,Seattle 158 | -------------------------------------------------------------------------------- /Eve_Monday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,E_var1,E_var2 2 | 1,3/16/2020,5,4 3 | 2,3/16/2020,3,3 4 | 3,3/16/2020,6,1 5 | 4,3/16/2020,1,2 6 | 5,3/16/2020,1,1 7 | 6,3/16/2020,5,1 8 | 7,3/16/2020,6,4 9 | 8,3/16/2020,3,1 10 | 9,3/16/2020,4,6 11 | 10,3/16/2020,5,4 12 | -------------------------------------------------------------------------------- /Eve_Tuesday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,E_var1,E_var2 2 | 1,3/17/2020,5,6 3 | 2,3/17/2020,3,6 4 | 3,3/17/2020,6,7 5 | 4,3/17/2020,6,3 6 | 5,3/17/2020,6,7 7 | 6,3/17/2020,1,1 8 | 7,3/17/2020,1,3 9 | 8,3/17/2020,6,1 10 | 9,3/17/2020,5,2 11 | 10,3/17/2020,5,1 12 | -------------------------------------------------------------------------------- /Eve_Wednesday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,E_var1,E_var2 2 | 1,3/18/2020,3,4 3 | 2,3/18/2020,4,2 4 | 3,3/18/2020,6,4 5 | 4,3/18/2020,5,7 6 | 5,3/18/2020,4,2 7 | 6,3/18/2020,6,7 8 | 7,3/18/2020,3,6 9 | 8,3/18/2020,4,2 10 | 9,3/18/2020,7,3 11 | 10,3/18/2020,7,3 12 | -------------------------------------------------------------------------------- /Headcount.csv: -------------------------------------------------------------------------------- 1 | Time,Headcount 2 | 1/1/2009,1032 3 | 2/1/2009,935 4 | 3/1/2009,1014 5 | 4/1/2009,1068 6 | 5/1/2009,1170 7 | 6/1/2009,1055 8 | 7/1/2009,1174 9 | 8/1/2009,1226 10 | 9/1/2009,1056 11 | 10/1/2009,1134 12 | 11/1/2009,1234 13 | 12/1/2009,969 14 | 1/1/2010,1264 15 | 2/1/2010,1140 16 | 3/1/2010,1368 17 | 4/1/2010,1302 18 | 5/1/2010,1258 19 | 6/1/2010,1424 20 | 7/1/2010,1312 21 | 8/1/2010,1405 22 | 9/1/2010,1332 23 | 10/1/2010,1315 24 | 11/1/2010,1570 25 | 12/1/2010,1255 26 | 1/1/2011,1411 27 | 2/1/2011,1512 28 | 3/1/2011,1423 29 | 4/1/2011,1616 30 | 5/1/2011,1421 31 | 6/1/2011,1513 32 | 7/1/2011,1624 33 | 8/1/2011,1667 34 | 9/1/2011,1627 35 | 10/1/2011,1513 36 | 11/1/2011,1660 37 | 12/1/2011,1659 38 | 1/1/2012,1719 39 | 2/1/2012,1740 40 | 3/1/2012,1685 41 | 4/1/2012,1756 42 | 5/1/2012,1724 43 | 6/1/2012,1883 44 | 7/1/2012,1908 45 | 8/1/2012,1892 46 | 9/1/2012,1748 47 | 10/1/2012,1972 48 | 11/1/2012,2016 49 | 12/1/2012,2054 50 | 1/1/2013,1984 51 | 2/1/2013,1864 52 | 3/1/2013,2010 53 | 4/1/2013,1917 54 | 5/1/2013,1961 55 | 6/1/2013,1874 56 | 7/1/2013,1900 57 | 8/1/2013,2153 58 | 9/1/2013,2065 59 | 10/1/2013,2047 60 | 11/1/2013,2191 61 | 12/1/2013,2046 62 | 1/1/2014,2174 63 | 2/1/2014,2098 64 | 3/1/2014,2333 65 | 4/1/2014,2219 66 | 5/1/2014,2229 67 | 6/1/2014,2104 68 | 7/1/2014,2258 69 | 8/1/2014,2208 70 | 9/1/2014,2272 71 | 10/1/2014,2293 72 | 11/1/2014,2223 73 | 12/1/2014,2233 74 | 1/1/2015,2335 75 | 2/1/2015,2302 76 | 3/1/2015,2404 77 | 4/1/2015,2569 78 | 5/1/2015,2416 79 | 6/1/2015,2447 80 | 7/1/2015,2452 81 | 8/1/2015,2515 82 | 9/1/2015,2584 83 | 10/1/2015,2458 84 | 11/1/2015,2558 85 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yes_old,327 74 | yes_old,192 75 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Creative Commons Legal Code 2 | 3 | CC0 1.0 Universal 4 | 5 | CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE 6 | LEGAL SERVICES. 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-------------------------------------------------------------------------------- /MarketPayLine.csv: -------------------------------------------------------------------------------- 1 | Job_Family,Job_ID,Job_Title,Points,Pay 2 | OA,OA132,Front Desk Receptionist,300,25000 3 | OA,OA133,Mail Clerk,401,35095 4 | OA,OA134,Data Entry Specialist,444,32735 5 | OA,OA135,Admissions Coordinator,456,29428 6 | OA,OA136,Call Center Representative,465,30101 7 | OA,OA137,Office Specialist,469,32613 8 | OA,OA138,Account Representative,470,39839 9 | OA,OA139,Administrative Support Assistant,475,40982 10 | OA,OA140,Live Source Operator,482,37153 11 | OA,OA141,Accounts Payable Associate,484,30954 12 | OA,OA143,Accounting Assistant,490,39060 13 | OA,OA144,Office Technician,505,32775 14 | OA,OA145,Records Clerk,522,44562 15 | OA,OA146,Accounting Technician,559,37517 16 | NU,NU212,Certified Nursing Assistant,573,31080 17 | OA,OA147,Information Technology Associate,584,38839 18 | OA,OA142,Statement Services Representative,585,48589 19 | NU,NU213,Licensed Practical Nurse,660,47256 20 | OA,OA149,Administrative Assistant,712,48001 21 | OA,OA148,Accounts Payable Supervisor,740,59554 22 | NU,NU214,Registered Nurse,757,71424 23 | NU,NU215,Charge Nurse,802,84864 24 | NU,NU216,Nurse Practitioner,919,105108 25 | NU,NU217,Nursing Manager,941,107364 26 | NU,NU218,Nursing Director,999,131804 27 | -------------------------------------------------------------------------------- /MarketSurveyData.csv: -------------------------------------------------------------------------------- 1 | Job_ID,Job_Title,Survey_1,Survey_2,Survey_3,SS_Survey_1,SS_Survey_2,SS_Survey_3 2 | FE10,Packaging Operator,14.11,14.51,13.98,101,35,13 3 | FE12,Machine Operator,15.9,15.85,16.03,88,29,11 4 | GE12,Electronics Assembler,15.66,15.78,15.31,90,27,11 5 | GE13,Coil Winder,16.01,15.52,16.09,56,21,6 6 | GE14,Electronics Technician,19.35,20.13,19.77,26,20,4 7 | IE08,Quality Assurance Technician,17.95,17.89,18.56,32,22,4 8 | -------------------------------------------------------------------------------- /Morn_Monday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,M_var1,M_var2,M_var3,M_var4 2 | 1,3/16/2020,2,1,2,1 3 | 2,3/16/2020,2,4,4,3 4 | 3,3/16/2020,4,5,4,1 5 | 4,3/16/2020,1,2,2,3 6 | 5,3/16/2020,4,5,3,5 7 | 6,3/16/2020,4,4,5,5 8 | 7,3/16/2020,5,3,1,4 9 | 8,3/16/2020,3,5,1,3 10 | 9,3/16/2020,4,5,5,4 11 | 10,3/16/2020,4,5,3,5 12 | -------------------------------------------------------------------------------- /Morn_Monday_Week1.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/davidcaughlin/R-Tutorial-Data-Files/a78342bca25b410fe49d0ef366e3062a13fe521e/Morn_Monday_Week1.xlsx -------------------------------------------------------------------------------- /Morn_Tuesday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,M_var1,M_var2,M_var3,M_var4 2 | 1,3/17/2020,2,5,2,2 3 | 2,3/17/2020,4,4,5,5 4 | 3,3/17/2020,2,2,3,4 5 | 4,3/17/2020,5,3,5,3 6 | 5,3/17/2020,1,1,1,3 7 | 6,3/17/2020,1,2,1,2 8 | 7,3/17/2020,2,2,5,3 9 | 8,3/17/2020,2,5,3,1 10 | 9,3/17/2020,1,1,2,1 11 | 10,3/17/2020,2,3,3,4 12 | -------------------------------------------------------------------------------- /Morn_Wednesday_Week1.csv: -------------------------------------------------------------------------------- 1 | Unique_ID,Date,M_var1,M_var2,M_var3,M_var4 2 | 1,3/18/2020,5,5,1,1 3 | 2,3/18/2020,5,1,1,1 4 | 3,3/18/2020,5,3,3,1 5 | 4,3/18/2020,2,4,3,5 6 | 5,3/18/2020,1,2,2,3 7 | 6,3/18/2020,3,3,5,3 8 | 7,3/18/2020,4,2,4,3 9 | 8,3/18/2020,3,5,2,4 10 | 9,3/18/2020,4,1,1,1 11 | 10,3/18/2020,3,2,4,2 12 | -------------------------------------------------------------------------------- /NewApplicants.csv: -------------------------------------------------------------------------------- 1 | ApplicantID,SJT,Interview 2 | AA1,6,9 3 | AA2,2,7 4 | AA3,6,3 5 | AA4,10,5 6 | AA5,7,13 7 | AA6,4,10 8 | AA7,2,8 9 | AA8,2,11 10 | AA9,8,12 11 | AA10,8,2 12 | AA11,5,10 13 | AA12,8,12 14 | AA13,6,9 15 | AA14,6,15 16 | AA15,6,6 17 | -------------------------------------------------------------------------------- /Nonlinear.csv: -------------------------------------------------------------------------------- 1 | ES,Perf 2 | 0.2,1.6 3 | 0.9,10.1 4 | 2.1,6.7 5 | 1.9,4.9 6 | 1.6,3.4 7 | 1.8,15.1 8 | 1.4,11.7 9 | 2.3,6.8 10 | 1.7,26.5 11 | 0.2,8.3 12 | 3.3,4.9 13 | 2.7,11.2 14 | 3.8,15.9 15 | 1.3,15.8 16 | 3.4,11.3 17 | 2.3,18 18 | 0.9,20.8 19 | 0.2,5.3 20 | 3.5,28.3 21 | 1.3,19.4 22 | 2.5,14.3 23 | 3,22 24 | 1.2,10.6 25 | 3,25.5 26 | 2.2,20.9 27 | 5.2,15 28 | 0.1,13.8 29 | 1.3,18.1 30 | 3.7,27.4 31 | 5,19 32 | 1.5,20.8 33 | 3.1,18.3 34 | 3.1,18.4 35 | 2.5,23.7 36 | 1.1,20.5 37 | 2.1,24.2 38 | 1.8,14.9 39 | 3.3,14.7 40 | 2.1,17.4 41 | 3.9,28.7 42 | 1.3,14.9 43 | 4.1,13.4 44 | 7.1,12.4 45 | 1.9,18.6 46 | 4.1,28.2 47 | 4.8,19.7 48 | 3.8,27.5 49 | 3.7,25.9 50 | 1,17.2 51 | 6.5,24.5 52 | 1.7,27.1 53 | 6.5,18.8 54 | 7.7,29.9 55 | 5.7,22.6 56 | 3.6,29.1 57 | 5.3,14.5 58 | 6,23.6 59 | 6.1,24.2 60 | 2.4,24.9 61 | 7,29.6 62 | 5.7,26.5 63 | 4.8,26.4 64 | 3.6,27.2 65 | 8.6,25 66 | 7.7,15 67 | 4.3,26.6 68 | 5,25.7 69 | 7,26.6 70 | 7.7,23.5 71 | 5.7,19.9 72 | 6,29.6 73 | 8.4,24 74 | 7.7,24.5 75 | 6.7,23.7 76 | 5.1,25.7 77 | 6.1,28.9 78 | 7.9,18 79 | 4.4,23.9 80 | 7.5,27.3 81 | 9.1,23.6 82 | 6.5,24.9 83 | 6.5,16.1 84 | 9.2,15.8 85 | 8.6,29.1 86 | 5.3,18 87 | 8.3,26.9 88 | 8.6,17.5 89 | 5.2,23.2 90 | 8.8,20.8 91 | 3.4,21.7 92 | 9.3,19.7 93 | 8.9,11.9 94 | 6.2,18.5 95 | 9.1,19.8 96 | 9,13.1 97 | 8.6,21.2 98 | 7.4,17 99 | 9.2,12.4 100 | 8.2,25.7 101 | 8.1,11.6 102 | 7,16.3 103 | 8.8,17.2 104 | 7.8,21.2 105 | 9,5.5 106 | 9.1,4.9 107 | 6.5,6.1 108 | 9.2,9.7 109 | -------------------------------------------------------------------------------- /PData.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/davidcaughlin/R-Tutorial-Data-Files/a78342bca25b410fe49d0ef366e3062a13fe521e/PData.csv -------------------------------------------------------------------------------- /PayDeterminants.csv: -------------------------------------------------------------------------------- 1 | raise,educ,perf,sex,race 2 | 2.4,3,7.1,female,asian 3 | 1.7,3,3.8,female,black 4 | 2.6,5,10,male,black 5 | 1.1,5,4,female,black 6 | 3.6,4,10,female,black 7 | 2.4,2,8.9,male,black 8 | 1,2,9.9,female,asian 9 | 0.6,2,5.4,female,black 10 | 2.2,4,7.4,female,white 11 | 2.5,4,7.5,male,white 12 | 2.9,1,8.6,female,black 13 | 2.6,4,8.6,male,black 14 | 3.8,4,9.6,female,black 15 | 5.2,5,10,female,white 16 | 2.6,3,6.9,female,white 17 | 3.6,3,6.5,male,white 18 | 2.5,3,9.6,female,white 19 | 1.1,3,6.1,male,black 20 | 2.2,3,9.2,female,asian 21 | 4.2,3,9.7,female,white 22 | 1,2,5,female,black 23 | 1.7,4,7.9,female,asian 24 | 2.1,2,7.7,female,asian 25 | 1.1,3,3.4,male,black 26 | 2.9,1,8.1,male,white 27 | 2.3,4,8.4,female,black 28 | 2.2,3,7,male,white 29 | 2.5,1,8.3,female,white 30 | 4.4,4,10,female,white 31 | 2.2,2,4.8,female,white 32 | 0.6,3,6.2,female,black 33 | 2.6,4,8,female,black 34 | 3.4,2,8.5,female,black 35 | 0.1,1,5.1,female,asian 36 | 1.9,3,6,male,white 37 | 2.4,3,9.2,female,black 38 | 2.4,2,6.9,male,black 39 | 2.6,3,7.2,female,white 40 | 1.7,3,7.3,female,black 41 | 2.4,2,7,female,white 42 | 0.2,4,4.9,female,asian 43 | 2.8,3,5.5,male,white 44 | 2.5,2,5.5,female,white 45 | 1.4,2,5.4,female,black 46 | 3.5,5,7.9,female,black 47 | 2.8,3,2.2,male,white 48 | 1.1,2,5.9,male,white 49 | 3.5,4,8.1,male,black 50 | 4.1,3,10,female,white 51 | 1.6,5,4.2,female,asian 52 | 1,3,10,female,asian 53 | 2,4,6.6,female,black 54 | 2.2,5,8.2,female,asian 55 | 2.3,5,7.4,male,asian 56 | 1.9,2,7.3,male,black 57 | 4.1,4,9.8,male,white 58 | 1.5,4,6.6,male,black 59 | 1.8,3,7.6,male,asian 60 | 3.3,5,10,male,black 61 | 1.9,2,6.4,female,white 62 | 1.4,2,5.8,male,asian 63 | 2.3,3,9.1,male,white 64 | 1.3,3,3.9,male,white 65 | 1.5,2,8.8,female,black 66 | 3.4,4,6.1,female,white 67 | 2.4,2,10,male,black 68 | 2.6,1,10,male,white 69 | 3.1,4,6.8,male,white 70 | 1.7,2,5.7,male,black 71 | 2.6,5,9.4,female,asian 72 | 2.8,5,9.9,male,black 73 | 2.5,3,9.9,female,white 74 | 2.6,1,8.1,male,white 75 | 3.6,5,8.6,male,white 76 | 1.5,2,6.8,female,asian 77 | 0,1,4.5,male,asian 78 | 3.1,4,7.9,male,white 79 | 3.9,3,10,female,white 80 | 2.5,3,7.6,male,black 81 | 3.6,5,8.9,male,black 82 | 1.6,3,6.5,male,asian 83 | 1.6,2,6.4,male,asian 84 | 1.2,2,7.1,male,black 85 | 3.7,3,10,male,white 86 | 2.4,3,9.4,female,white 87 | 1.3,3,4.1,male,asian 88 | 4.5,1,8.6,male,black 89 | 2.5,4,9.5,female,black 90 | 3.5,2,10,male,white 91 | 2.7,3,9.6,female,asian 92 | 2.8,3,10,female,black 93 | 1.4,4,4.4,female,white 94 | 0.8,2,8.8,male,black 95 | 1.6,3,8.9,female,asian 96 | 2.6,1,10,male,black 97 | 1.3,3,4,female,black 98 | 2.4,1,10,female,asian 99 | 2.1,4,8.8,female,asian 100 | 3.8,2,10,male,white 101 | 2.7,4,8.3,female,black 102 | 2.1,2,8.8,female,black 103 | 1.6,5,4.1,female,black 104 | 2.6,4,6.1,male,black 105 | 1.8,1,8.2,female,asian 106 | 1.8,3,7.8,male,asian 107 | 2.6,3,6.8,male,black 108 | 0.8,4,4.3,female,black 109 | 1.6,4,6.6,male,asian 110 | 1.7,2,6.6,female,black 111 | 1.9,2,9.5,female,white 112 | 2.2,4,5.4,female,white 113 | 1.4,2,8.7,female,asian 114 | 3.1,3,10,female,black 115 | 0.9,2,6.3,female,asian 116 | 0.9,2,10,female,asian 117 | 1.9,2,10,female,white 118 | 1.7,1,7.1,male,black 119 | 1.9,2,6.2,female,black 120 | 3.6,4,10,male,white 121 | 3.5,4,7.3,male,white 122 | 0.5,1,5.1,female,black 123 | 3.5,4,10,male,black 124 | 1.7,3,5.6,male,black 125 | 1.1,2,5.4,male,black 126 | 1,3,6.9,male,asian 127 | 2.2,3,7.7,female,white 128 | 2.6,5,7.7,male,asian 129 | 3.5,2,8.9,female,white 130 | 3.7,2,10,female,black 131 | 3,4,5.5,male,white 132 | 3.4,4,8.6,male,black 133 | 4.5,1,10,female,white 134 | -------------------------------------------------------------------------------- /PayEquity.csv: -------------------------------------------------------------------------------- 1 | emp_id,job_title,pay_grade,status,base_pay,job_tenure,pay_grade_tenure,org_tenure,age,educ,perf,sex,race,data_retrieval_date 2 | ee20097,technician 1,e07,nonexempt,51179,4.7,11.0,13.4,44.8,1,9.4,female,asian,2019-04-01 3 | ee20032,technician 1,e07,nonexempt,46039,2,2.0,2.0,32.6,3,9.6,female,black,2019-04-01 4 | ee20050,technician 1,e07,nonexempt,50414,3.2,3.2,3.2,38.5,1,9.6,female,asian,2019-04-01 5 | ee20019,technician 2,e07,nonexempt,56442,4.5,6.6,10.9,31.5,4,10,female,black,2019-04-01 6 | ee20026,technician 2,e07,nonexempt,57211,8.1,9.0,10.1,34.7,4,3.4,female,white,2019-04-01 7 | ee20034,technician 2,e07,nonexempt,53129,7,7.8,7.8,36.4,2,8.6,female,asian,2019-04-01 8 | ee20089,technician 1,e07,nonexempt,46826,3.8,3.8,3.8,36.4,5,8.7,female,white,2019-04-01 9 | ee20020,technician 2,e07,nonexempt,53705,5,9.5,9.5,39.6,3,6.8,female,asian,2019-04-01 10 | ee20036,technician 2,e07,nonexempt,55382,3.3,3.3,3.3,47.8,5,3.8,male,asian,2019-04-01 11 | ee20022,technician 2,e07,nonexempt,58551,5.7,7.0,7.0,45.7,1,6.1,female,white,2019-04-01 12 | ee200121,technician 1,e07,nonexempt,50823,4.2,4.6,4.6,29.7,4,5.8,female,black,2019-04-01 13 | ee20030,technician 3,e07,nonexempt,59767,2.3,10.0,10.0,37,1,7.2,male,white,2019-04-01 14 | ee20057,technician 1,e07,nonexempt,52726,7,9.8,9.8,47.3,4,7.6,female,black,2019-04-01 15 | ee200117,technician 1,e07,nonexempt,51462,7.8,8.5,11.6,38.7,4,6.2,female,black,2019-04-01 16 | ee20066,technician 1,e07,nonexempt,49228,0.9,1.8,1.8,31.5,2,8.6,female,black,2019-04-01 17 | ee20078,technician 3,e07,nonexempt,61627,6.4,10.3,13.5,38.9,3,10,male,black,2019-04-01 18 | ee20045,technician 2,e07,nonexempt,54347,7.5,16.6,16.6,40.1,4,6.6,female,black,2019-04-01 19 | ee20074,technician 1,e07,nonexempt,52078,3.8,3.8,3.8,38.2,2,9.5,female,black,2019-04-01 20 | ee20079,technician 3,e07,nonexempt,59031,7.2,14.4,14.4,43.5,3,10,male,black,2019-04-01 21 | ee20085,technician 3,e07,nonexempt,60688,4.2,6.0,11.3,41,4,9.5,male,asian,2019-04-01 22 | ee200115,technician 1,e07,nonexempt,45978,2.4,2.4,2.4,36.4,3,9.1,female,asian,2019-04-01 23 | ee20068,technician 1,e07,nonexempt,52167,5.8,7.2,7.2,43.6,3,7.4,female,black,2019-04-01 24 | ee2001,technician 1,e07,nonexempt,52016,6.9,6.9,6.9,45.7,1,8,female,black,2019-04-01 25 | ee20059,technician 1,e07,nonexempt,49496,5.1,5.4,5.4,34.4,1,5.6,female,asian,2019-04-01 26 | ee20082,technician 3,e07,nonexempt,61932,10,12.2,13.8,45.9,3,9.2,male,white,2019-04-01 27 | ee200101,technician 1,e07,nonexempt,52909,4.1,4.1,4.1,33,2,6.6,female,white,2019-04-01 28 | ee20033,technician 1,e07,nonexempt,52878,6.3,13.4,13.4,42.4,5,10,male,black,2019-04-01 29 | ee20018,technician 2,e07,nonexempt,53695,4.8,7.5,7.5,37.7,3,9.8,female,black,2019-04-01 30 | ee20070,technician 1,e07,nonexempt,42084,0.2,8.9,8.9,31.2,2,9.5,female,black,2019-04-01 31 | ee20083,technician 2,e07,nonexempt,56414,6.1,11.1,11.1,40.7,4,7.8,male,black,2019-04-01 32 | ee200111,technician 2,e07,nonexempt,56216,4.6,8.6,8.6,34,1,8.5,female,white,2019-04-01 33 | ee20042,technician 3,e07,nonexempt,64095,5.5,12.7,12.7,37.2,3,10,male,white,2019-04-01 34 | ee20011,technician 3,e07,nonexempt,67753,7.4,7.4,7.4,39.1,3,6.6,male,white,2019-04-01 35 | ee20061,technician 2,e07,nonexempt,59509,3.9,7.3,7.3,41,3,8.3,female,black,2019-04-01 36 | ee20025,technician 1,e07,nonexempt,50519,5.4,9.3,9.3,40.8,4,5.4,female,black,2019-04-01 37 | ee200123,technician 2,e07,nonexempt,56670,2.6,2.6,2.6,40.2,4,3,male,white,2019-04-01 38 | ee20038,technician 2,e07,nonexempt,56970,6,14.3,14.3,36.5,3,8,female,asian,2019-04-01 39 | ee20099,technician 2,e07,nonexempt,54384,3.1,11.1,11.1,37.8,2,10,male,white,2019-04-01 40 | ee2007,technician 2,e07,nonexempt,58828,6.9,13.4,13.4,42.9,5,10,male,white,2019-04-01 41 | ee20027,technician 2,e07,nonexempt,57004,5.6,5.6,5.6,43.8,3,8.4,male,black,2019-04-01 42 | ee20062,technician 1,e07,nonexempt,48234,6.9,14.7,14.7,45.6,2,4.4,female,asian,2019-04-01 43 | ee20031,technician 2,e07,nonexempt,54431,2.8,4.0,5.1,42.4,4,6.4,female,asian,2019-04-01 44 | ee20043,technician 2,e07,nonexempt,55689,5.6,14.5,14.5,41,3,5.9,male,white,2019-04-01 45 | ee2002,technician 2,e07,nonexempt,54331,4.4,4.4,4.4,31.6,2,6.2,male,black,2019-04-01 46 | ee20014,technician 1,e07,nonexempt,50086,7.4,13.9,13.9,43.7,5,6.8,female,black,2019-04-01 47 | ee20076,technician 2,e07,nonexempt,59909,9.8,11.9,11.9,45.1,2,6.8,male,black,2019-04-01 48 | ee20081,technician 1,e07,nonexempt,52635,5.2,6.6,6.6,50.1,1,6.8,female,asian,2019-04-01 49 | ee20040,technician 1,e07,nonexempt,47598,5.6,10.1,10.1,40.5,4,3.8,male,asian,2019-04-01 50 | ee20069,technician 1,e07,nonexempt,51417,5.6,13.8,13.8,45.1,5,6.4,female,black,2019-04-01 51 | ee200114,technician 1,e07,nonexempt,51006,3.4,3.4,3.4,31.3,4,6,female,asian,2019-04-01 52 | ee20096,technician 1,e07,nonexempt,47615,2.8,7.1,7.1,41.1,2,7.9,female,asian,2019-04-01 53 | ee20016,technician 3,e07,nonexempt,68335,7.2,11.3,11.3,37,4,8.2,male,black,2019-04-01 54 | ee200112,technician 1,e07,nonexempt,43873,1.5,7.0,7.0,33.6,2,3.1,female,white,2019-04-01 55 | ee2006,technician 3,e07,nonexempt,58607,2.7,8.8,8.8,38.6,1,7.8,female,white,2019-04-01 56 | ee20055,technician 2,e07,nonexempt,57380,6.3,7.8,7.8,28.8,2,8.9,female,white,2019-04-01 57 | ee20054,technician 2,e07,nonexempt,55159,3.7,8.8,10.4,31.9,3,8.9,male,white,2019-04-01 58 | ee20039,technician 2,e07,nonexempt,55087,3,3.0,3.0,35.7,1,3.5,male,black,2019-04-01 59 | ee20060,technician 1,e07,nonexempt,48632,2,2.0,2.0,25.3,1,10,female,black,2019-04-01 60 | ee20046,technician 3,e07,nonexempt,60503,7,7.0,7.0,43.1,5,10,male,white,2019-04-01 61 | ee200104,technician 1,e07,nonexempt,52751,3.3,6.2,6.2,39.4,3,7,male,black,2019-04-01 62 | ee200118,technician 1,e07,nonexempt,47352,1.6,5.9,5.9,30,3,4.9,female,black,2019-04-01 63 | ee20088,technician 2,e07,nonexempt,58200,2.8,4.7,4.7,39.9,2,8.8,female,white,2019-04-01 64 | ee200102,technician 3,e07,nonexempt,59442,5.8,7.7,7.7,31,4,10,male,black,2019-04-01 65 | ee200113,technician 3,e07,nonexempt,63956,5.7,11.1,11.1,41.7,2,9.1,male,white,2019-04-01 66 | ee20090,technician 2,e07,nonexempt,56096,10.1,11.1,11.1,36.4,3,8.6,female,black,2019-04-01 67 | ee2009,technician 2,e07,nonexempt,53413,3.7,12.3,12.3,38.2,3,9.2,male,black,2019-04-01 68 | ee20094,technician 3,e07,nonexempt,71166,6.4,13.6,13.6,44.2,3,7.7,male,black,2019-04-01 69 | ee20049,technician 2,e07,nonexempt,54204,5.8,11.2,14.7,38.6,5,7.4,female,asian,2019-04-01 70 | ee200108,technician 3,e07,nonexempt,59964,6.1,8.4,8.4,45.5,2,8.1,male,black,2019-04-01 71 | ee200105,technician 1,e07,nonexempt,40000,1.4,8.6,8.6,37.7,1,4.1,female,black,2019-04-01 72 | ee20091,technician 1,e07,nonexempt,52786,3.5,5.1,5.1,45.4,4,7.8,male,black,2019-04-01 73 | ee20047,technician 2,e07,nonexempt,57329,6.3,12.9,12.9,35.8,5,5.8,male,asian,2019-04-01 74 | ee20037,technician 1,e07,nonexempt,52504,6.4,13.3,13.3,39.5,5,4.2,male,black,2019-04-01 75 | ee20064,technician 1,e07,nonexempt,51863,5.4,15.0,15.0,38.2,5,5.3,female,white,2019-04-01 76 | ee20080,technician 1,e07,nonexempt,48203,7.6,9.5,9.5,44.1,2,8.9,female,asian,2019-04-01 77 | ee20058,technician 1,e07,nonexempt,52089,5.4,6.2,6.2,40.8,5,7.4,female,asian,2019-04-01 78 | ee20093,technician 1,e07,nonexempt,50716,4.4,6.7,6.7,38.4,5,5.1,female,black,2019-04-01 79 | ee20021,technician 1,e07,nonexempt,54170,2.8,9.5,9.5,33,5,8.9,female,black,2019-04-01 80 | ee20013,technician 2,e07,nonexempt,55523,3.7,12.9,12.9,31,4,10,male,white,2019-04-01 81 | ee2008,technician 2,e07,nonexempt,52729,5,8.1,8.1,38.3,4,6.8,female,black,2019-04-01 82 | ee20056,technician 1,e07,nonexempt,48805,4.7,5.9,5.9,24.5,3,6.7,female,white,2019-04-01 83 | ee200119,technician 1,e07,nonexempt,52565,5.6,7.7,9.8,35.7,1,9,female,asian,2019-04-01 84 | ee20075,technician 3,e07,nonexempt,64392,7.2,16.2,16.2,37,4,10,male,white,2019-04-01 85 | ee20067,technician 1,e07,nonexempt,47928,4.6,9.4,9.4,39,1,6.2,female,white,2019-04-01 86 | ee20086,technician 2,e07,nonexempt,59392,7.3,11.6,11.6,49.1,1,5.8,female,black,2019-04-01 87 | ee20077,technician 3,e07,nonexempt,61966,9.5,18.1,18.1,44.1,1,6.4,female,black,2019-04-01 88 | ee200100,technician 1,e07,nonexempt,50532,3.9,12.5,12.5,35,2,10,female,black,2019-04-01 89 | ee200116,technician 3,e07,nonexempt,63208,5.1,5.1,5.1,35.4,3,10,male,black,2019-04-01 90 | ee20051,technician 1,e07,nonexempt,46026,2.2,2.2,2.2,32.6,2,5.7,male,black,2019-04-01 91 | ee20010,technician 1,e07,nonexempt,49983,6.1,15.8,15.8,30.6,4,7.6,male,black,2019-04-01 92 | ee20023,technician 1,e07,nonexempt,53091,7.8,15.4,15.4,43,3,4.2,female,black,2019-04-01 93 | ee20087,technician 1,e07,nonexempt,53268,3.2,7.2,7.2,41.3,2,5.6,male,white,2019-04-01 94 | ee20028,technician 1,e07,nonexempt,51527,3.4,13.0,13.0,43.6,3,7.3,female,asian,2019-04-01 95 | ee200106,technician 2,e07,nonexempt,59403,6.4,7.0,7.0,40.2,5,7.5,male,black,2019-04-01 96 | ee20017,technician 2,e07,nonexempt,57692,7.4,10.1,11.1,45.9,2,10,male,black,2019-04-01 97 | ee20048,technician 3,e07,nonexempt,62452,6.5,15.6,15.6,45.9,2,10,male,black,2019-04-01 98 | ee2005,technician 1,e07,nonexempt,46194,2.5,2.5,2.5,43.4,3,4.3,female,asian,2019-04-01 99 | ee200110,technician 1,e07,nonexempt,51210,4.1,7.3,7.3,37.5,4,8.3,female,asian,2019-04-01 100 | ee200120,technician 3,e07,nonexempt,63756,4.3,8.2,8.2,47.6,1,9.2,female,black,2019-04-01 101 | ee20095,technician 2,e07,nonexempt,57234,7.8,10.0,10.0,39.1,3,6.2,male,asian,2019-04-01 102 | ee200107,technician 3,e07,nonexempt,65288,4.2,10.9,10.9,44,3,10,male,white,2019-04-01 103 | ee200125,technician 2,e07,nonexempt,55685,6.7,13.6,13.6,41.8,3,7.7,male,white,2019-04-01 104 | ee2003,technician 1,e07,nonexempt,53776,0.3,4.2,4.2,40.6,2,7.4,male,black,2019-04-01 105 | ee200109,technician 2,e07,nonexempt,59141,7.8,8.9,12.3,35.6,2,10,female,black,2019-04-01 106 | ee2004,technician 1,e07,nonexempt,54257,5,10.0,12.1,39.6,3,5.7,male,black,2019-04-01 107 | ee20044,technician 1,e07,nonexempt,51242,7,10.6,10.6,38,1,9.3,female,black,2019-04-01 108 | ee20063,technician 3,e07,nonexempt,62811,8.2,8.2,8.2,40.3,5,7,male,black,2019-04-01 109 | ee20012,technician 2,e07,nonexempt,58524,4.3,5.1,5.1,42,2,8.3,male,white,2019-04-01 110 | ee20084,technician 3,e07,nonexempt,60352,9.7,13.7,13.7,40.7,5,7.3,male,white,2019-04-01 111 | ee20024,technician 2,e07,nonexempt,58876,6,9.8,9.8,53.4,5,9.2,female,black,2019-04-01 112 | ee200103,technician 2,e07,nonexempt,58623,3.8,10.4,10.4,39.9,3,5.7,male,white,2019-04-01 113 | ee20035,technician 2,e07,nonexempt,55168,11.4,13.5,13.5,40.4,4,6.6,female,white,2019-04-01 114 | ee20015,technician 3,e07,nonexempt,59837,5.2,13.0,13.0,48.1,3,10,female,white,2019-04-01 115 | ee20065,technician 1,e07,nonexempt,53365,5,9.2,9.2,40.6,1,6,female,white,2019-04-01 116 | ee20072,technician 3,e07,nonexempt,63586,5.2,14.6,14.6,38.4,3,9.7,male,white,2019-04-01 117 | ee20041,technician 2,e07,nonexempt,58376,5.8,7.8,7.8,45.5,3,8.9,female,white,2019-04-01 118 | ee20098,technician 2,e07,nonexempt,53144,6.2,14.1,14.1,38.8,5,8,female,white,2019-04-01 119 | ee20052,technician 2,e07,nonexempt,56782,7.2,7.2,7.2,46.1,4,6.6,female,white,2019-04-01 120 | ee20092,technician 3,e07,nonexempt,64215,3.3,10.5,10.5,35.7,2,8.1,male,black,2019-04-01 121 | ee20053,technician 1,e07,nonexempt,48814,1.5,6.3,6.3,31.7,2,6.1,female,white,2019-04-01 122 | ee200122,technician 1,e07,nonexempt,52649,2.6,7.6,12.5,31.2,3,10,female,black,2019-04-01 123 | ee20073,technician 3,e07,nonexempt,61561,8.5,8.5,8.5,40,3,5.9,male,white,2019-04-01 124 | ee20071,technician 2,e07,nonexempt,57811,7.2,9.7,9.7,32.6,3,10,female,white,2019-04-01 125 | ee20029,technician 1,e07,nonexempt,48050,1.3,3.3,4.0,30.4,1,7.3,male,black,2019-04-01 126 | ee200124,technician 2,e07,nonexempt,54924,9.5,9.5,9.5,43.5,5,5.5,female,asian,2019-04-01 127 | -------------------------------------------------------------------------------- /PerfData.csv: -------------------------------------------------------------------------------- 1 | id,perf_q1,perf_q2,perf_q3,perf_q4 2 | 153,3.9,4.8,4.9,5 3 | 125,2.1,1.9,2.1,2.3 4 | 111,3.3,3.3,3.4,3.3 5 | 198,4.9,4.5,4.4,4.8 6 | 201,1.2,1.1,1,1 7 | 282,2.2,2.3,2.4,2.5 8 | -------------------------------------------------------------------------------- /PerfMgmtRewardSystemsExample.csv: -------------------------------------------------------------------------------- 1 | EmpID,Perf_Qual,Perf_Prod,Perf_Effort,Perf_Admin,SalesRevenue,BasePay_2018,VariablePay_2018,Sex,Age,EducationLevel 2 | 1,3,3,3,4,57563,53791,6199,Female,39,2 3 | 2,1,1,1,1,54123,52342,1919,Male,48,4 4 | 3,2,1,1,1,56245,50844,7507,Male,38,4 5 | 4,2,3,3,1,58291,52051,6285,Male,35,4 6 | 5,1,1,1,1,58354,48061,4855,Female,32,2 7 | 6,2,2,2,3,57618,53386,4056,Male,34,4 8 | 7,5,5,5,5,72643,52660,12726,Female,57,3 9 | 8,2,1,1,1,57803,48477,3742,Female,43,2 10 | 9,2,3,3,2,59306,50999,8197,Male,35,4 11 | 10,2,2,3,2,51450,50321,3966,Female,47,5 12 | 11,4,4,4,4,68152,52271,12201,Male,44,3 13 | 12,3,3,2,2,50745,55222,4960,Male,41,1 14 | 13,1,1,1,1,64708,54166,10350,Female,34,4 15 | 14,4,4,4,4,66449,57470,11172,Male,47,3 16 | 15,1,1,1,1,66230,48610,12722,Male,41,3 17 | 16,4,5,5,4,68046,48903,11225,Male,29,3 18 | 17,1,2,1,2,55038,55410,5466,Male,39,2 19 | 18,2,2,1,2,53926,48700,6955,Female,41,2 20 | 19,1,2,2,2,59066,51552,4580,Female,30,4 21 | 20,3,4,4,3,59791,53782,6695,Male,50,2 22 | 21,5,4,3,4,73329,50623,16241,Female,60,3 23 | 22,5,5,5,5,63249,51989,11361,Male,41,4 24 | 23,3,4,4,3,70718,58275,15762,Male,41,3 25 | 24,4,5,5,5,64815,55327,10024,Male,67,3 26 | 25,4,2,4,3,59438,55451,6248,Male,49,2 27 | 26,2,2,3,2,60741,50547,6310,Female,29,4 28 | 27,1,1,2,2,57820,52201,7554,Female,29,4 29 | 28,4,4,3,3,60695,49793,6825,Male,40,4 30 | 29,2,2,2,3,57440,48341,7987,Female,37,2 31 | 30,3,5,3,3,64226,53564,8534,Male,42,4 32 | 31,2,3,4,2,62885,52156,8404,Male,28,4 33 | 32,5,5,5,5,66837,54966,11852,Female,51,3 34 | 33,5,4,4,5,61199,56516,8348,Female,34,2 35 | 34,2,2,3,2,54645,52887,4484,Female,33,4 36 | 35,5,3,4,4,60705,53284,9806,Male,35,2 37 | 36,2,2,3,2,63979,56617,12037,Female,45,3 38 | 37,2,2,2,2,49906,55688,747,Female,52,5 39 | 38,3,4,3,4,61310,56554,6835,Male,49,2 40 | 39,3,3,2,3,54428,50520,7201,Male,47,2 41 | 40,4,3,4,4,62684,48443,7710,Male,21,3 42 | 41,3,3,3,3,59526,54089,6151,Female,48,4 43 | 42,4,4,3,4,63197,48356,10474,Male,31,3 44 | 43,1,2,1,2,57463,48613,7738,Female,42,4 45 | 44,5,5,5,5,61612,52531,7874,Male,40,3 46 | 45,2,2,2,2,67118,49627,10760,Male,28,3 47 | 46,3,2,3,3,60779,47473,6887,Female,25,2 48 | 47,3,3,3,3,69888,54505,12218,Female,47,3 49 | 48,5,5,5,5,59979,51378,10293,Male,36,2 50 | 49,2,2,1,1,53044,54782,3142,Male,38,1 51 | 50,3,3,4,2,76365,52095,14570,Male,30,3 52 | 51,4,3,3,5,56171,49522,4007,Female,42,4 53 | 52,5,3,4,4,65334,52487,12521,Male,35,4 54 | 53,2,2,1,1,61270,48293,8596,Male,34,4 55 | 54,4,2,4,4,50462,55758,1530,Male,40,5 56 | 55,2,2,2,3,60519,49734,7756,Female,21,2 57 | 56,4,3,5,5,68833,50426,13840,Female,36,3 58 | 57,5,3,3,4,65997,52010,8016,Female,28,4 59 | 58,1,1,1,1,55994,52881,3708,Female,39,2 60 | 59,2,3,2,3,56775,55650,6857,Male,42,2 61 | 60,5,4,4,4,58011,48965,5838,Female,22,2 62 | 61,1,1,1,1,48806,54427,405,Male,35,5 63 | 62,3,4,3,3,62813,51660,12439,Male,25,4 64 | 63,2,2,2,2,60399,51248,5450,Male,49,4 65 | 64,4,4,3,3,63507,51958,7449,Male,35,3 66 | 65,3,3,2,3,62368,55252,9366,Male,49,3 67 | 66,1,1,1,1,64469,48074,6319,Female,38,3 68 | 67,3,4,4,2,72170,55088,16978,Male,38,3 69 | 68,3,3,2,2,68772,47472,13573,Female,51,3 70 | 69,3,3,3,2,64513,54773,11482,Male,50,4 71 | 70,5,4,4,5,63711,55435,8746,Female,47,4 72 | 71,5,5,4,5,68285,51891,12700,Female,39,3 73 | 72,4,4,5,4,62867,50879,9391,Male,34,3 74 | 73,3,2,2,3,42512,52510,320,Male,48,5 75 | 74,2,2,3,2,55573,55272,6398,Male,33,4 76 | 75,4,5,5,4,72196,49995,14785,Male,42,3 77 | 76,3,3,4,2,69725,55065,11709,Female,45,3 78 | 77,1,1,2,1,52952,53196,5633,Male,53,5 79 | 78,4,5,5,5,71598,55680,16026,Female,56,3 80 | 79,4,5,3,4,65795,49420,14613,Male,47,3 81 | 80,1,1,1,1,51557,49021,2916,Female,21,1 82 | 81,5,4,5,4,61615,50738,11046,Male,45,4 83 | 82,2,1,1,3,57279,54404,5103,Female,47,4 84 | 83,5,5,4,5,59107,47375,3731,Female,36,2 85 | 85,3,2,3,2,62510,53592,9357,Male,45,4 86 | 86,2,5,2,3,67932,52793,12948,Male,49,3 87 | 87,1,2,2,2,56212,49332,7408,Female,39,2 88 | 88,1,1,1,2,48894,50093,524,Female,46,1 89 | 89,4,2,3,3,69879,53100,12500,Female,34,3 90 | 90,4,3,4,5,64611,52751,8600,Female,36,3 91 | 91,2,2,3,4,48157,53570,1664,Male,40,1 92 | 92,2,1,3,3,50084,49193,2841,Male,29,1 93 | 93,4,2,4,4,61341,49245,6220,Male,33,4 94 | 94,1,1,1,1,53052,48651,5549,Female,41,4 95 | 95,3,3,4,2,59883,53129,5947,Male,43,4 96 | 96,3,3,4,5,60947,50382,9547,Male,33,4 97 | -------------------------------------------------------------------------------- /PerformanceData.csv: -------------------------------------------------------------------------------- 1 | id,perf_q1,perf_q2,perf_q3,perf_q4 2 | 153,3.9,4.8,4.9,5 3 | 125,2.1,1.9,2.1,2.3 4 | 111,3.3,3.3,3.4,3.3 5 | 198,4.9,4.5,4.4,4.8 6 | 201,1.2,1.1,1,1 7 | 282,2.2,2.3,2.4,2.5 8 | -------------------------------------------------------------------------------- /PersData.csv: -------------------------------------------------------------------------------- 1 | id,lastname,firstname,startdate,gender 2 | 153,Sanchez,Alejandro,1/1/2016,male 3 | 154,McDonald,Ronald,1/9/2016,male 4 | 155,Smith,John,1/9/2016,male 5 | 165,Doe,Jane,1/4/2016,female 6 | 125,Franklin,Benjamin,1/5/2016,male 7 | 111,Newton,Isaac,1/9/2016,male 8 | 198,Morales,Linda,1/7/2016,female 9 | 201,Providence,Cindy,1/9/2016,female 10 | 282,Legend,John,1/9/2016,male 11 | -------------------------------------------------------------------------------- /PersData_Excel.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/davidcaughlin/R-Tutorial-Data-Files/a78342bca25b410fe49d0ef366e3062a13fe521e/PersData_Excel.xlsx -------------------------------------------------------------------------------- /PersonalData.csv: -------------------------------------------------------------------------------- 1 | id,lastname,firstname,startdate,gender 2 | 153,Sanchez,Alejandro,1/1/2016,man 3 | 154,McDonald,Ronald,1/9/2016,man 4 | 155,Smith,John,1/9/2016,man 5 | 165,Doe,Jane,1/4/2016,woman 6 | 111,Newton,Isaac,1/9/2016,man 7 | 198,Morales,Linda,1/7/2016,woman 8 | 201,Providence,Cindy,1/9/2016,woman 9 | 282,Legend,John,1/9/2016,man 10 | -------------------------------------------------------------------------------- /PlannedBehavior.csv: -------------------------------------------------------------------------------- 1 | attitude,norms,control,intention,behavior 2 | 2.31,2.31,2.03,2.5,2.62 3 | 4.66,4.01,3.63,3.99,3.64 4 | 3.85,3.56,4.2,4.35,3.83 5 | 4.24,2.25,2.84,1.51,2.25 6 | 2.91,3.31,2.4,1.45,2 7 | 2.99,2.51,2.95,2.59,2.2 8 | 3.96,4.65,3.77,4.08,4.41 9 | 3.01,2.98,1.9,2.58,4.15 10 | 4.77,3.09,3.83,4.87,4.35 11 | 3.67,3.63,5,3.09,3.95 12 | 4.17,4.3,2.94,2.89,2.85 13 | 1.44,1.44,2.05,1.61,3.27 14 | 3.35,2.64,2.77,3.15,2.52 15 | 2.73,2.65,1.92,2.45,3.28 16 | 3.59,2.01,4.01,4.55,5 17 | 3.77,1,4.65,2.68,3.34 18 | 2.34,3.64,3.99,2.91,2.81 19 | 2.31,1.31,3.63,2.68,1.24 20 | 5,4.16,4.44,5,5 21 | 2.97,3.52,2.11,4.02,3.22 22 | 2.99,2.27,4.12,2.58,1.9 23 | 3.88,2.14,2.33,1.82,3.54 24 | 2.68,3.34,2.81,2.49,1.43 25 | 4.23,4.04,3.15,2.83,4.02 26 | 3.51,1.51,1.84,2.3,2.18 27 | 3.73,2.62,2.58,3.66,4.35 28 | 2.93,3.82,2.15,2.46,3.07 29 | 2.44,2.38,2.55,3.52,2.87 30 | 1,3.6,2.68,2.59,3.68 31 | 2.22,1,2.31,2.45,3.36 32 | 3.02,2.13,4,2.43,2.18 33 | 3.92,3.75,1.4,2.07,2.88 34 | 4.33,3.82,3.52,3.01,3.24 35 | 3.83,4.11,4.04,3.57,1.75 36 | 3.9,1.87,3.18,3.4,4.73 37 | 1.99,2.09,3.39,3.95,3.59 38 | 4.55,3.46,2.64,3.12,3.6 39 | 4.1,3.53,2.47,4.78,4.04 40 | 2.26,2.73,2.95,3.59,4.21 41 | 2.34,3.03,3.62,3.12,4.25 42 | 3.48,1.72,4.35,4.35,4.97 43 | 3.97,2.67,2.91,3.87,2.15 44 | 3.53,4.45,3.59,2.65,3.86 45 | 5,5,4.36,4.63,4.62 46 | 2.96,1.99,1.66,2.62,4.25 47 | 1.76,2.4,2.38,3.35,2.75 48 | 4.26,3.75,2.93,4.16,4.67 49 | 3.27,3.22,4.43,4.67,3.14 50 | 4,3.03,3.19,3.75,5 51 | 2.15,2.42,2.31,1.33,2.3 52 | 2.95,3.44,4.16,2.3,2.58 53 | 3.36,2.59,3.65,2.81,3.15 54 | 3.01,2.23,4.14,2.33,1.71 55 | 4.14,2.26,2.19,3.05,3.79 56 | 4.11,3.87,3.67,3.41,3.36 57 | 3.61,3.56,3.38,1.82,2.08 58 | 4.2,3.09,1,1.95,2.44 59 | 2.69,2.99,2.75,3.09,3.33 60 | 1.5,2.85,2.51,1.46,1.57 61 | 3.43,3,4.79,3.73,1.94 62 | 3.62,1.99,4.93,2.12,2.64 63 | 3.04,2.81,2.68,1.97,3.73 64 | 2.79,3.21,2.55,2.43,1.48 65 | 5,3.85,4.82,4.7,3.21 66 | 4.68,4.61,3.14,4.84,3.92 67 | 1,3.17,1,2.03,2.9 68 | 3.02,3.6,3.96,3.17,3.37 69 | 4.14,3.99,3.89,3.41,2.7 70 | 3.25,4.07,2.34,2.12,1.39 71 | 3.89,3.28,2.78,2.68,4.19 72 | 3.18,2.22,1.77,2.39,2.65 73 | 3.58,2.57,3.31,4.93,1.94 74 | 2.98,3.27,1.35,2.22,2.99 75 | 1.47,3.27,2.07,2.33,3.83 76 | 4.03,2.38,2.55,2.92,1.79 77 | 2.75,1.19,1.8,2.75,3.17 78 | 3.45,2.43,2.83,2.89,3.7 79 | 3.23,4.47,2.51,1.96,2.66 80 | 2.28,2.41,2.66,2.26,4.08 81 | 2.54,2.62,2.04,3.27,1.83 82 | 3.12,5,3.5,3.15,3.48 83 | 3.76,2.81,4.43,3.69,3.25 84 | 4.39,3.22,5,3.6,3.29 85 | 2.07,4.36,3.46,2.91,1.58 86 | 3.8,2.01,3.39,3.22,3.04 87 | 1.74,2.56,2.28,3.03,3.89 88 | 4.37,4.43,3.86,3.91,4.53 89 | 1.91,3.96,2.69,1.69,2.84 90 | 3.65,2.52,2.12,4.5,4.68 91 | 1.89,3.71,3.63,3.53,3.12 92 | 3.9,4.44,3.4,3.11,3.66 93 | 3.96,2.18,2.87,3.36,3.89 94 | 2.11,1.35,2.02,1.61,2.58 95 | 4.04,2.94,4.28,3.02,3.2 96 | 2.51,2.22,3.16,3.47,2.47 97 | 5,1.81,3.61,4.5,4.15 98 | 2.99,3.7,4.96,4.79,4.05 99 | 1.86,3.92,4.61,1.6,1.63 100 | 3.55,3.54,2.57,2.69,4.36 101 | 4.35,1.83,3.78,3.24,2.32 102 | 3.49,2.6,1.86,2.54,1.55 103 | 3.56,3.64,4.53,4.76,3.78 104 | 3.09,3.63,2.36,2.69,1.86 105 | 2.95,1.44,1.35,1.69,3.13 106 | 3.42,2.42,3.97,4.01,3.96 107 | 3.11,3.27,3.51,3.59,2.89 108 | 2.31,1.91,2.3,2.16,1.13 109 | 2.53,1.61,2.66,2.96,4.08 110 | 3.36,3.65,2.68,2.76,4.07 111 | 5,2.56,3.26,3.82,2.94 112 | 4.76,2.84,5,3.44,4.37 113 | 4.39,3.12,3.47,3.8,3.4 114 | 3.6,3.8,3.94,2.25,3.02 115 | 3.86,2.35,4.58,3.48,2.78 116 | 4.58,3.53,3.62,5,3.8 117 | 4.89,3.98,4.3,4.8,3.68 118 | 3.27,3.27,3.16,4.07,2.28 119 | 2.18,3.53,2.11,3.41,3.9 120 | 3.14,2.87,3.85,2.37,3.51 121 | 2.7,1.39,1.85,1.94,3.49 122 | 2.15,3.02,2.64,2.14,3.32 123 | 5,4.01,5,4.27,3.63 124 | 3.6,2.26,3.15,3.57,4.03 125 | 2.47,2.95,1,3.12,3.12 126 | 2.71,2.99,1.69,2.36,1.78 127 | 1.38,1.63,3.14,2.32,1.68 128 | 2.5,1.15,1.57,1.01,1 129 | 3.74,3.84,4.61,2.76,2.68 130 | 2.89,3.3,3.22,1.19,3.11 131 | 2.28,2.14,1.63,2.38,4.17 132 | 1.9,3.48,2.71,3.5,3.63 133 | 3.44,1.66,5,2.61,2.7 134 | 2.08,2.56,3.08,1.59,1 135 | 1.36,3.24,4.25,2.41,1.28 136 | 3.72,1,2.96,2.9,2.67 137 | 3.62,3.05,3.25,1.84,1.36 138 | 2.27,1.17,2.37,2.57,3.01 139 | 3.53,2.74,2.64,3.44,5 140 | 2.25,2.56,3.16,4.49,3.96 141 | 1,3.75,2.22,1.92,2.43 142 | 2.66,2.66,2.65,3.27,3.36 143 | 3.44,2.08,2.86,2.42,3.26 144 | 2.17,3.16,1.93,2.8,3.45 145 | 1.91,2.49,3.2,3.42,3.77 146 | 2.73,2.18,3.45,2.19,3.55 147 | 1.65,1.66,1.51,1.81,2.63 148 | 2.98,3,3.39,3.85,3.21 149 | 2.58,3.35,3.44,2.18,4.2 150 | 4.57,4.25,5,3.66,3.83 151 | 3.03,2.1,1.67,2.22,3.92 152 | 1.76,2.31,3.21,1.75,3.43 153 | 2.34,2.09,1.74,1.54,1.68 154 | 3.62,1.32,4.34,4.02,3.07 155 | 1.83,2.35,3.34,1.96,1.07 156 | 5,4.33,2.35,4.32,2.7 157 | 2.08,2.61,3.65,2.04,2.98 158 | 3.35,2.83,2.19,3.4,3.49 159 | 3.46,1.75,3.67,3.28,3.43 160 | 3.98,2.83,4.38,3.31,5 161 | 3.87,3.53,2.95,3.26,4.17 162 | 1.86,2.67,1.94,1.17,2.73 163 | 3.35,3.1,2.05,2.79,2 164 | 4.04,1,4.98,2.55,2.2 165 | 2.08,2.08,2.72,3.6,2.59 166 | 3.44,1.99,3.35,2.36,2.46 167 | 3.26,4.48,3.95,3.66,4.45 168 | 3.53,5,3.6,3.77,3.5 169 | 3.56,1.66,3.76,2.84,2.36 170 | 2.65,3.66,2.57,2.51,2.68 171 | 3.19,3.44,3.02,3.04,2.55 172 | 4.62,1.66,3.11,3.25,3.57 173 | 3.65,3.49,3.45,3.5,3.42 174 | 3.14,3.95,4.54,3.83,4.14 175 | 1,1.87,2.99,2.57,3.11 176 | 4.66,2.04,3.94,4.39,2.28 177 | 1.67,3.17,2.45,3.42,3.03 178 | 2.37,2.95,3.37,4.1,3.66 179 | 2.22,2.96,2.46,2.68,2.28 180 | 4.24,1.86,1,2.61,3.46 181 | 2.62,2.91,2.5,3.22,3.23 182 | 3.82,3.72,3.77,3.27,2.87 183 | 1.83,2.92,3.21,2.03,2.34 184 | 3.16,3.16,3.03,2.23,1.13 185 | 1,3.07,2.84,2.14,4.16 186 | 4.61,3.93,3.02,3.01,3.62 187 | 4.36,1.28,2.15,3.33,2.35 188 | 1.89,2.21,2.43,1,3.04 189 | 2.69,3.62,3.37,4.41,2.95 190 | 4.03,3.01,1.25,2.39,2.46 191 | 3.32,3.52,5,4.41,4.08 192 | 3.1,2.46,1,1.91,3.58 193 | 3.08,5,4.15,4.12,2.02 194 | 4,2.84,3.24,3.01,2.59 195 | 3.77,3.41,2.97,2.99,2.18 196 | 3.48,2.41,3.94,2.51,2.7 197 | 2.29,1.43,1.93,2.01,1.31 198 | 4.13,3.34,3.45,3.21,2.68 199 | 1.39,2.64,2.9,1.81,4.21 200 | 4.28,4.29,4.16,4.62,3.41 201 | -------------------------------------------------------------------------------- /PyramidPopulation.csv: -------------------------------------------------------------------------------- 1 | Employee_ID,Gender,Age 2 | 1001,Woman,30.50684932 3 | 1002,Woman,60.30684932 4 | 1003,Woman,50.20547945 5 | 1004,Man,46.10684932 6 | 1005,Man,40.90684932 7 | 1006,Woman,53.30684932 8 | 1007,Man,38.40547945 9 | 1008,Man,51.50684932 10 | 1009,Woman,30.60547945 11 | 1010,Man,46.90684932 12 | 1011,Man,41.70684932 13 | 1012,Woman,41.10684932 14 | 1013,Woman,39.10684932 15 | 1014,Man,56.10684932 16 | 1015,Woman,55.50684932 17 | 1016,Woman,45.20821918 18 | 1017,Woman,57.90684932 19 | 1018,Woman,46.00547945 20 | 1020,Woman,48.10684932 21 | 1021,Woman,48.70684932 22 | 1022,Woman,41.30684932 23 | 1023,Woman,27.90684932 24 | 1024,Man,36.50684932 25 | 1025,Man,41.60547945 26 | 1026,Man,52.30684932 27 | 1027,Man,44.10684932 28 | 1028,Woman,29.30684932 29 | 1029,Man,39.50684932 30 | 1030,Woman,55.50684932 31 | 1031,Woman,27.10684932 32 | 1032,Man,43.80547945 33 | 1033,Man,42.30684932 34 | 1034,Woman,33.50684932 35 | 1035,Woman,57.10684932 36 | 1036,Woman,30.60547945 37 | 1037,Woman,42.30684932 38 | 1038,Woman,39.80547945 39 | 1039,Woman,30.10684932 40 | 1040,Man,37.60547945 41 | 1041,Woman,36.60547945 42 | 1042,Woman,27.40547945 43 | 1043,Man,41.20821918 44 | 1044,Man,36.60547945 45 | 1045,Man,28.10684932 46 | 1046,Man,45.70684932 47 | 1047,Woman,35.60547945 48 | 1048,Man,51.00547945 49 | 1049,Man,44.60547945 50 | 1050,Woman,46.40547945 51 | 1051,Woman,36.00547945 52 | 1052,Man,24.00547945 53 | 1053,Woman,46.10684932 54 | 1054,Woman,38.40547945 55 | 1055,Woman,39.10684932 56 | 1056,Woman,42.60547945 57 | 1057,Woman,49.90684932 58 | 1058,Woman,48.00547945 59 | 1059,Man,40.20821918 60 | 1060,Man,29.70684932 61 | 1061,Man,43.90684932 62 | 1062,Woman,54.40547945 63 | 1063,Man,38.90684932 64 | 1064,Woman,49.00547945 65 | 1065,Woman,39.30684932 66 | 1066,Woman,52.80547945 67 | 1067,Woman,46.30684932 68 | 1068,Woman,46.70684932 69 | 1069,Woman,29.80547945 70 | 1070,Man,45.70684932 71 | 1071,Woman,37.30684932 72 | 1072,Woman,40.80547945 73 | 1073,Man,42.00547945 74 | 1074,Woman,24.90684932 75 | 1075,Woman,33.50684932 76 | 1076,Woman,43.60547945 77 | 1077,Woman,35.90684932 78 | 1078,Man,40.50684932 79 | 1079,Woman,47.00547945 80 | 1080,Woman,37.10684932 81 | 1081,Woman,24.20547945 82 | 1082,Woman,24.30684932 83 | 1083,Woman,39.00547945 84 | 1084,Woman,39.80547945 85 | 1085,Woman,36.90684932 86 | 1086,Man,43.10684932 87 | 1087,Man,42.20821918 88 | 1088,Woman,34.00547945 89 | 1089,Woman,30.90684932 90 | 1090,Man,56.30684932 91 | 1091,Man,46.90684932 92 | 1092,Man,47.00547945 93 | 1093,Man,55.20547945 94 | 1094,Woman,54.50684932 95 | 1095,Woman,37.70684932 96 | 1096,Woman,29.10684932 97 | 1097,Man,34.80547945 98 | 1098,Man,40.40547945 99 | 1099,Woman,43.50684932 100 | 1100,Man,49.30684932 101 | 1101,Woman,43.00547945 102 | 1102,Woman,40.70684932 103 | 1103,Man,51.90684932 104 | 1104,Man,52.90684932 105 | 1105,Man,30.10684932 106 | 1106,Woman,38.60547945 107 | 1107,Man,43.90684932 108 | 1108,Man,33.60547945 109 | 1109,Woman,27.30684932 110 | 1110,Woman,45.00547945 111 | 1111,Man,48.20547945 112 | 1112,Man,49.70684932 113 | 1113,Woman,37.60547945 114 | 1114,Woman,29.00547945 115 | 1115,Man,48.80547945 116 | 1116,Woman,34.00547945 117 | 1117,Man,52.30684932 118 | 1118,Man,30.50684932 119 | 1119,Woman,54.60547945 120 | 1120,Woman,47.00547945 121 | 1121,Woman,45.00547945 122 | 1122,Man,40.70684932 123 | 1123,Woman,35.10684932 124 | 1124,Man,46.10684932 125 | 1125,Man,24.80547945 126 | 1126,Man,30.30684932 127 | 1127,Woman,42.50684932 128 | 1128,Woman,34.80547945 129 | 1129,Woman,41.20821918 130 | 1130,Man,30.00547945 131 | 1131,Man,43.00547945 132 | 1132,Woman,33.50684932 133 | 1133,Man,39.90684932 134 | 1134,Man,54.50684932 135 | 1135,Man,46.70684932 136 | 1136,Woman,41.40547945 137 | 1137,Woman,42.60547945 138 | 1138,Woman,38.40547945 139 | 1139,Man,46.20821918 140 | 1140,Woman,27.20547945 141 | 1141,Woman,47.90684932 142 | 1142,Woman,42.40547945 143 | 1143,Woman,32.40547945 144 | 1144,Man,36.40547945 145 | 1145,Woman,33.60547945 146 | 1146,Man,38.10684932 147 | 1147,Woman,31.40547945 148 | 1148,Man,41.30684932 149 | 1149,Man,59.00547945 150 | 1150,Man,46.10684932 151 | 1151,Man,43.60547945 152 | 1152,Man,35.50684932 153 | 1153,Woman,47.50684932 154 | 1154,Woman,30.40547945 155 | 1155,Man,63.80547945 156 | 1156,Man,45.80547945 157 | 1157,Woman,37.20821918 158 | 1158,Man,50.00547945 159 | 1159,Man,42.80547945 160 | 1160,Woman,43.10684932 161 | 1161,Woman,42.60547945 162 | 1162,Man,32.90684932 163 | 1163,Man,40.70684932 164 | 1164,Woman,49.30684932 165 | 1165,Man,39.30684932 166 | 1166,Man,29.90684932 167 | 1167,Man,38.20821918 168 | 1168,Man,29.90684932 169 | 1169,Woman,44.20821918 170 | 1170,Woman,49.40547945 171 | 1171,Man,41.70684932 172 | 1172,Man,31.00547945 173 | 1173,Man,40.40547945 174 | 1174,Man,43.90684932 175 | 1176,Man,52.40547945 176 | 1177,Man,45.10684932 177 | 1178,Woman,40.40547945 178 | 1179,Man,44.20821918 179 | 1180,Woman,38.10684932 180 | 1181,Woman,46.40547945 181 | 1182,Woman,42.40547945 182 | 1183,Woman,30.50684932 183 | 1184,Man,23.80547945 184 | 1185,Woman,38.20821918 185 | 1186,Man,41.60547945 186 | 1187,Woman,45.20821918 187 | 1188,Woman,32.80547945 188 | 1189,Woman,53.10684932 189 | 1190,Woman,35.50684932 190 | 1191,Man,37.20821918 191 | 1192,Man,58.30684932 192 | 1193,Man,41.10684932 193 | 1194,Woman,38.90684932 194 | 1195,Woman,22.60547945 195 | 1196,Woman,42.10684932 196 | 1197,Man,40.90684932 197 | 1198,Man,32.90684932 198 | 1199,Man,40.20821918 199 | 1200,Man,52.60547945 200 | 1201,Man,32.20547945 201 | 1202,Man,41.40547945 202 | 1203,Man,35.90684932 203 | 1204,Man,39.50684932 204 | 1205,Man,50.80547945 205 | 1206,Man,55.60547945 206 | 1207,Man,40.40547945 207 | 1208,Woman,41.20821918 208 | 1209,Woman,36.20821918 209 | 1210,Woman,31.70684932 210 | 1211,Man,45.40547945 211 | 1212,Man,26.80547945 212 | 1213,Woman,44.60547945 213 | 1214,Woman,31.90684932 214 | 1216,Woman,26.20547945 215 | 1217,Woman,45.70684932 216 | 1218,Woman,44.90684932 217 | 1219,Woman,37.00547945 218 | 1220,Man,57.80547945 219 | 1221,Man,48.70684932 220 | 1222,Man,37.40547945 221 | 1223,Man,56.50684932 222 | 1224,Man,44.80547945 223 | 1225,Woman,30.80547945 224 | 1226,Woman,31.10684932 225 | 1227,Woman,43.00547945 226 | 1228,Woman,38.20821918 227 | 1229,Man,43.90684932 228 | 1230,Woman,48.00547945 229 | 1231,Man,35.20821918 230 | 1232,Woman,60.60547945 231 | 1233,Man,42.40547945 232 | 1234,Woman,37.90684932 233 | 1235,Woman,36.40547945 234 | 1236,Woman,36.80547945 235 | 1237,Woman,40.70684932 236 | 1238,Woman,30.70684932 237 | 1239,Woman,30.80547945 238 | 1240,Woman,39.80547945 239 | 1241,Man,40.90684932 240 | 1242,Man,39.70684932 241 | 1243,Man,46.20821918 242 | 1244,Man,42.00547945 243 | 1245,Man,45.80547945 244 | 1246,Woman,36.90684932 245 | 1247,Man,44.10684932 246 | 1248,Woman,37.00547945 247 | 1249,Man,23.50684932 248 | 1250,Man,41.40547945 249 | 1251,Woman,48.30684932 250 | 1252,Woman,51.20547945 251 | 1253,Man,50.90684932 252 | 1254,Woman,35.90684932 253 | 1255,Woman,36.30684932 254 | 1256,Man,31.40547945 255 | 1257,Man,29.30684932 256 | 1258,Man,45.70684932 257 | 1260,Woman,37.90684932 258 | 1261,Woman,51.00547945 259 | 1262,Woman,28.30684932 260 | 1263,Man,45.30684932 261 | 1264,Man,36.00547945 262 | 1265,Woman,42.00547945 263 | 1266,Man,37.20821918 264 | 1267,Man,37.30684932 265 | 1268,Woman,33.50684932 266 | 1269,Woman,29.60547945 267 | 1270,Woman,31.10684932 268 | 1271,Woman,34.10684932 269 | 1272,Man,35.30684932 270 | 1273,Woman,32.00547945 271 | 1274,Man,41.90684932 272 | 1275,Man,35.20821918 273 | 1276,Man,46.50684932 274 | 1277,Woman,35.20821918 275 | 1278,Woman,43.90684932 276 | 1279,Man,40.80547945 277 | 1280,Man,44.60547945 278 | 1281,Woman,43.90684932 279 | 1282,Man,41.30684932 280 | 1283,Woman,65.10684932 281 | 1284,Man,35.50684932 282 | 1285,Woman,32.00547945 283 | 1286,Man,50.40547945 284 | 1287,Woman,32.50684932 285 | 1288,Man,26.00547945 286 | 1289,Man,37.10684932 287 | 1290,Man,44.10684932 288 | 1291,Man,47.20547945 289 | 1292,Man,40.80547945 290 | 1293,Woman,30.90684932 291 | 1294,Woman,26.00547945 292 | 1295,Man,42.40547945 293 | 1296,Woman,57.40547945 294 | 1297,Woman,46.20821918 295 | 1298,Man,52.00547945 296 | 1299,Man,52.10684932 297 | 1300,Man,43.60547945 298 | 1301,Woman,37.70684932 299 | 1302,Woman,23.80547945 300 | 1303,Man,37.70684932 301 | 1304,Man,49.40547945 302 | 1305,Woman,30.30684932 303 | 1306,Man,28.00547945 304 | 1307,Woman,36.40547945 305 | 1308,Man,52.10684932 306 | 1309,Woman,38.40547945 307 | 1310,Man,28.20547945 308 | 1311,Woman,37.60547945 309 | 1312,Woman,35.00547945 310 | 1313,Man,52.10684932 311 | 1314,Woman,46.50684932 312 | 1315,Man,43.20821918 313 | 1316,Woman,38.10684932 314 | 1317,Woman,51.50684932 315 | 1318,Man,29.90684932 316 | 1319,Man,42.20821918 317 | 1320,Woman,34.80547945 318 | 1321,Man,27.00547945 319 | 1322,Woman,39.50684932 320 | 1323,Woman,37.60547945 321 | 1324,Man,52.60547945 322 | 1325,Man,36.90684932 323 | 1326,Man,47.70684932 324 | 1327,Man,46.30684932 325 | 1328,Man,57.60547945 326 | 1329,Woman,46.50684932 327 | 1330,Man,31.30684932 328 | 1331,Man,42.30684932 329 | 1332,Woman,41.60547945 330 | 1333,Woman,48.40547945 331 | 1334,Woman,47.20547945 332 | 1335,Woman,52.40547945 333 | 1336,Woman,49.60547945 334 | 1337,Woman,43.20821918 335 | 1338,Man,49.00547945 336 | 1339,Man,56.90684932 337 | 1340,Woman,39.50684932 338 | 1341,Man,24.70684932 339 | 1342,Woman,26.20547945 340 | 1343,Man,36.00547945 341 | 1344,Man,39.60547945 342 | 1345,Man,39.20821918 343 | 1346,Woman,40.70684932 344 | 1347,Man,55.50684932 345 | 1348,Woman,39.20821918 346 | 1349,Woman,39.40547945 347 | 1350,Man,46.30684932 348 | 1351,Man,48.50684932 349 | 1352,Woman,27.10684932 350 | 1353,Woman,36.10684932 351 | 1354,Woman,39.20821918 352 | 1355,Woman,38.90684932 353 | 1356,Man,33.20547945 354 | 1357,Man,28.90684932 355 | 1358,Woman,33.20547945 356 | 1359,Man,36.00547945 357 | 1360,Woman,43.30684932 358 | 1361,Man,29.10684932 359 | 1362,Woman,37.90684932 360 | 1363,Man,48.50684932 361 | 1364,Woman,31.20547945 362 | 1365,Man,37.10684932 363 | 1366,Man,52.50684932 364 | 1367,Woman,35.20821918 365 | 1368,Man,33.20547945 366 | 1369,Man,36.10684932 367 | 1370,Woman,39.60547945 368 | 1371,Woman,38.80547945 369 | 1372,Man,35.30684932 370 | 1373,Woman,42.60547945 371 | 1374,Woman,38.80547945 372 | 1375,Man,30.00547945 373 | 1376,Woman,29.40547945 374 | 1377,Man,38.00547945 375 | 1378,Woman,25.70684932 376 | 1379,Woman,35.80547945 377 | 1380,Man,27.20547945 378 | 1381,Man,32.90684932 379 | 1382,Woman,45.70684932 380 | 1383,Man,51.40547945 381 | 1384,Woman,54.00547945 382 | 1385,Woman,47.80547945 383 | 1386,Woman,25.90684932 384 | 1387,Woman,37.90684932 385 | 1388,Man,38.50684932 386 | 1389,Woman,46.00547945 387 | 1390,Woman,44.20821918 388 | 1391,Woman,46.50684932 389 | 1392,Man,32.80547945 390 | 1393,Man,59.20547945 391 | 1394,Man,34.30684932 392 | 1395,Man,44.40547945 393 | 1396,Woman,43.10684932 394 | 1397,Man,44.60547945 395 | 1398,Woman,41.90684932 396 | 1399,Man,38.90684932 397 | 1400,Woman,41.10684932 398 | 1401,Man,49.50684932 399 | 1402,Man,36.40547945 400 | 1403,Woman,51.60547945 401 | 1404,Woman,34.70684932 402 | 1405,Woman,48.80547945 403 | 1406,Woman,58.10684932 404 | 1407,Man,42.30684932 405 | 1408,Woman,43.60547945 406 | 1409,Man,44.70684932 407 | 1410,Man,37.50684932 408 | 1411,Man,48.90684932 409 | 1412,Woman,44.60547945 410 | 1413,Woman,57.80547945 411 | 1414,Woman,37.90684932 412 | 1415,Man,48.90684932 413 | 1416,Man,33.70684932 414 | 1417,Man,42.70684932 415 | 1418,Woman,31.40547945 416 | 1419,Man,38.80547945 417 | 1420,Man,45.30684932 418 | 1421,Man,36.90684932 419 | 1422,Man,50.00547945 420 | 1423,Man,32.90684932 421 | 1424,Woman,43.80547945 422 | 1425,Woman,36.90684932 423 | 1426,Man,28.90684932 424 | 1427,Woman,26.30684932 425 | 1428,Woman,37.70684932 426 | 1429,Woman,39.00547945 427 | 1430,Man,29.10684932 428 | 1431,Man,35.40547945 429 | 1432,Man,39.70684932 430 | 1433,Man,24.60547945 431 | 1434,Man,37.60547945 432 | 1435,Woman,39.80547945 433 | 1436,Man,37.70684932 434 | 1437,Man,37.30684932 435 | 1438,Man,48.70684932 436 | 1439,Woman,44.00547945 437 | 1440,Man,28.10684932 438 | 1441,Woman,50.50684932 439 | 1442,Man,28.30684932 440 | 1443,Man,48.20547945 441 | 1444,Man,48.30684932 442 | 1445,Woman,44.40547945 443 | 1446,Woman,41.90684932 444 | 1447,Woman,28.90684932 445 | 1448,Man,27.30684932 446 | 1449,Woman,54.60547945 447 | 1450,Man,52.90684932 448 | 1451,Woman,38.10684932 449 | 1452,Woman,37.10684932 450 | 1453,Woman,30.80547945 451 | 1454,Woman,43.00547945 452 | 1455,Man,42.60547945 453 | 1456,Man,38.40547945 454 | 1457,Woman,37.90684932 455 | 1458,Man,50.00547945 456 | 1459,Woman,34.70684932 457 | 1460,Man,34.50684932 458 | 1461,Man,49.20547945 459 | 1462,Woman,42.30684932 460 | 1463,Woman,53.30684932 461 | 1464,Woman,44.20821918 462 | 1465,Woman,45.80547945 463 | 1466,Man,47.00547945 464 | 1467,Man,39.60547945 465 | 1468,Man,48.00547945 466 | 1469,Man,30.30684932 467 | 1470,Woman,40.60547945 468 | 1471,Woman,42.90684932 469 | 1472,Man,40.30684932 470 | 1473,Man,40.10684932 471 | 1474,Man,35.30684932 472 | 1475,Man,34.10684932 473 | 1476,Woman,23.20547945 474 | 1477,Woman,42.50684932 475 | 1478,Man,23.50684932 476 | 1479,Woman,23.30684932 477 | 1480,Man,31.90684932 478 | 1481,Man,50.40547945 479 | 1482,Man,42.70684932 480 | 1483,Woman,29.50684932 481 | 1484,Man,45.00547945 482 | 1485,Woman,37.90684932 483 | 1486,Woman,43.50684932 484 | 1487,Woman,50.70684932 485 | 1488,Man,46.60547945 486 | 1489,Man,44.40547945 487 | 1490,Man,54.30684932 488 | 1491,Woman,43.60547945 489 | 1492,Man,43.30684932 490 | 1493,Woman,39.80547945 491 | 1494,Woman,37.70684932 492 | 1495,Woman,48.10684932 493 | 1496,Man,46.90684932 494 | 1497,Man,27.70684932 495 | 1498,Woman,35.10684932 496 | 1499,Man,27.60547945 497 | 1500,Woman,53.10684932 498 | 1501,Man,32.70684932 499 | 1502,Man,35.60547945 500 | 1503,Woman,40.70684932 501 | 1504,Man,30.30684932 502 | 1505,Woman,28.60547945 503 | 1506,Woman,50.00547945 504 | 1507,Man,40.10684932 505 | 1508,Woman,53.40547945 506 | 1509,Woman,57.20547945 507 | 1511,Woman,37.90684932 508 | 1512,Woman,47.90684932 509 | 1513,Woman,42.40547945 510 | 1514,Woman,30.70684932 511 | 1515,Woman,30.80547945 512 | 1516,Man,35.40547945 513 | 1517,Woman,23.90684932 514 | 1518,Man,29.80547945 515 | 1519,Man,32.80547945 516 | 1520,Woman,24.40547945 517 | 1521,Man,30.50684932 518 | 1522,Woman,37.40547945 519 | 1523,Man,56.20547945 520 | 1524,Woman,44.90684932 521 | 1525,Man,50.30684932 522 | 1526,Woman,32.00547945 523 | 1527,Woman,32.10684932 524 | 1528,Woman,37.90684932 525 | 1530,Woman,35.40547945 526 | 1531,Woman,33.60547945 527 | 1532,Man,51.70684932 528 | 1533,Man,36.80547945 529 | 1534,Woman,34.20821918 530 | 1535,Woman,34.80547945 531 | 1536,Woman,47.50684932 532 | 1537,Man,30.30684932 533 | 1538,Man,41.80547945 534 | 1539,Woman,36.10684932 535 | 1540,Woman,45.50684932 536 | 1541,Woman,47.10684932 537 | 1542,Woman,36.40547945 538 | 1543,Man,36.50684932 539 | 1544,Woman,45.80547945 540 | 1545,Man,39.30684932 541 | 1546,Man,47.80547945 542 | 1547,Man,39.10684932 543 | 1548,Woman,46.40547945 544 | 1549,Woman,51.60547945 545 | 1550,Man,42.30684932 546 | 1551,Woman,31.60547945 547 | 1552,Man,42.70684932 548 | 1553,Woman,26.00547945 549 | 1555,Man,25.00547945 550 | 1556,Woman,35.50684932 551 | 1557,Man,33.30684932 552 | 1558,Woman,57.20547945 553 | 1559,Woman,45.70684932 554 | 1560,Woman,46.00547945 555 | 1561,Man,33.70684932 556 | 1562,Woman,50.70684932 557 | 1563,Man,38.40547945 558 | 1564,Woman,45.90684932 559 | 1565,Man,32.60547945 560 | 1566,Woman,44.00547945 561 | 1567,Woman,57.20547945 562 | 1568,Man,44.50684932 563 | 1569,Woman,44.00547945 564 | 1570,Woman,33.30684932 565 | 1571,Man,47.30684932 566 | 1572,Man,48.50684932 567 | 1573,Woman,39.50684932 568 | 1574,Woman,34.00547945 569 | 1575,Woman,41.50684932 570 | 1576,Woman,57.00547945 571 | 1577,Man,39.10684932 572 | 1578,Man,44.10684932 573 | 1579,Man,39.30684932 574 | 1580,Man,37.70684932 575 | 1581,Man,61.20547945 576 | 1582,Man,39.50684932 577 | 1583,Woman,39.20821918 578 | 1584,Woman,28.70684932 579 | 1585,Man,29.10684932 580 | 1586,Woman,42.50684932 581 | 1587,Man,52.10684932 582 | 1588,Woman,46.30684932 583 | 1589,Woman,46.90684932 584 | 1590,Woman,46.90684932 585 | 1591,Woman,36.80547945 586 | 1592,Man,46.10684932 587 | 1593,Man,37.80547945 588 | 1594,Woman,51.20547945 589 | 1595,Man,60.40547945 590 | 1596,Woman,36.30684932 591 | 1597,Man,39.10684932 592 | 1598,Man,53.00547945 593 | 1599,Woman,57.90684932 594 | 1600,Woman,37.80547945 595 | 1601,Man,33.40547945 596 | 1602,Woman,44.40547945 597 | 1603,Woman,32.90684932 598 | 1604,Woman,37.20821918 599 | 1605,Man,47.70684932 600 | 1606,Woman,57.20547945 601 | 1607,Man,30.30684932 602 | 1608,Woman,36.20821918 603 | 1609,Woman,37.50684932 604 | 1610,Woman,36.50684932 605 | 1611,Man,59.60547945 606 | 1612,Man,38.20821918 607 | 1613,Man,38.20821918 608 | 1614,Woman,34.60547945 609 | 1615,Man,45.90684932 610 | 1616,Woman,25.40547945 611 | 1617,Woman,48.50684932 612 | 1618,Man,38.00547945 613 | 1619,Man,43.80547945 614 | 1620,Man,51.60547945 615 | 1621,Woman,35.90684932 616 | 1622,Man,34.10684932 617 | 1623,Man,49.40547945 618 | 1624,Man,45.70684932 619 | 1625,Man,24.90684932 620 | 1626,Man,42.50684932 621 | 1627,Man,31.40547945 622 | 1628,Man,46.30684932 623 | 1629,Man,34.40547945 624 | 1630,Woman,38.00547945 625 | 1631,Woman,37.80547945 626 | 1632,Woman,31.30684932 627 | 1633,Woman,59.80547945 628 | 1634,Woman,39.90684932 629 | 1635,Woman,48.00547945 630 | 1636,Man,46.70684932 631 | 1637,Woman,55.30684932 632 | 1638,Man,48.70684932 633 | 1639,Woman,43.00547945 634 | 1640,Woman,54.30684932 635 | 1641,Man,49.50684932 636 | 1642,Man,48.10684932 637 | 1643,Man,38.10684932 638 | 1644,Woman,23.10684932 639 | 1645,Woman,20.30684932 640 | 1646,Woman,41.30684932 641 | 1647,Woman,32.40547945 642 | 1648,Woman,59.30684932 643 | 1649,Man,41.80547945 644 | 1650,Man,43.80547945 645 | 1651,Woman,28.00547945 646 | 1652,Woman,41.90684932 647 | 1653,Woman,38.60547945 648 | 1654,Man,42.70684932 649 | 1655,Man,37.70684932 650 | 1656,Man,36.30684932 651 | 1657,Man,38.80547945 652 | 1658,Woman,20.90684932 653 | 1659,Woman,46.50684932 654 | 1660,Man,46.00547945 655 | 1661,Man,49.60547945 656 | 1662,Man,32.70684932 657 | 1663,Woman,42.00547945 658 | 1664,Man,43.70684932 659 | 1665,Man,31.70684932 660 | 1666,Woman,24.90684932 661 | 1667,Man,44.60547945 662 | 1668,Woman,37.10684932 663 | 1669,Man,33.70684932 664 | 1670,Woman,51.60547945 665 | 1671,Man,34.50684932 666 | 1672,Woman,39.30684932 667 | 1673,Woman,43.40547945 668 | 1674,Man,36.70684932 669 | 1675,Man,36.60547945 670 | 1676,Man,45.70684932 671 | 1677,Man,40.70684932 672 | 1678,Woman,33.30684932 673 | 1679,Man,39.40547945 674 | 1680,Woman,53.60547945 675 | 1681,Man,49.90684932 676 | 1682,Man,46.50684932 677 | 1683,Man,20.30684932 678 | 1684,Woman,46.60547945 679 | 1685,Woman,38.40547945 680 | 1686,Woman,38.60547945 681 | 1687,Woman,32.00547945 682 | 1688,Woman,43.50684932 683 | 1689,Woman,29.10684932 684 | 1690,Man,47.10684932 685 | 1691,Woman,30.00547945 686 | 1692,Woman,44.60547945 687 | 1693,Man,50.70684932 688 | 1694,Woman,35.00547945 689 | 1695,Man,24.10684932 690 | 1696,Woman,42.00547945 691 | 1697,Woman,44.70684932 692 | 1698,Man,43.90684932 693 | 1699,Woman,34.40547945 694 | 1700,Man,32.80547945 695 | 1701,Man,45.60547945 696 | 1702,Man,48.50684932 697 | 1703,Man,45.00547945 698 | 1704,Man,42.30684932 699 | 1705,Woman,21.50684932 700 | 1706,Woman,47.10684932 701 | 1707,Woman,29.90684932 702 | 1708,Man,56.10684932 703 | 1709,Woman,20.30684932 704 | 1710,Man,21.30684932 705 | 1711,Woman,31.30684932 706 | 1712,Woman,64.80547945 707 | 1713,Woman,28.30684932 708 | 1714,Woman,43.00547945 709 | 1715,Man,33.30684932 710 | 1716,Woman,29.60547945 711 | 1717,Man,37.90684932 712 | 1718,Man,34.10684932 713 | 1719,Woman,34.90684932 714 | 1720,Woman,49.20547945 715 | 1721,Man,39.60547945 716 | 1722,Man,48.90684932 717 | 1723,Man,44.80547945 718 | 1724,Woman,44.10684932 719 | 1725,Woman,39.10684932 720 | 1726,Man,34.60547945 721 | 1727,Woman,20.30684932 722 | 1728,Man,47.00547945 723 | 1729,Man,38.50684932 724 | 1730,Woman,24.80547945 725 | 1731,Man,34.40547945 726 | 1732,Man,40.70684932 727 | 1733,Man,43.50684932 728 | 1734,Man,42.00547945 729 | 1735,Man,55.70684932 730 | 1736,Woman,37.20821918 731 | 1737,Woman,20.60547945 732 | 1738,Man,46.00547945 733 | 1739,Woman,20.30684932 734 | 1740,Woman,58.30684932 735 | 1741,Man,26.30684932 736 | 1742,Man,32.50684932 737 | 1743,Woman,44.00547945 738 | 1744,Woman,27.10684932 739 | 1745,Woman,41.80547945 740 | 1746,Woman,31.70684932 741 | 1747,Woman,35.80547945 742 | 1748,Woman,47.00547945 743 | 1749,Man,48.00547945 744 | 1750,Woman,45.40547945 745 | 1751,Man,47.80547945 746 | 1752,Woman,45.70684932 747 | 1753,Woman,42.60547945 748 | 1754,Woman,20.30684932 749 | 1755,Man,34.70684932 750 | 1756,Woman,45.50684932 751 | 1757,Woman,20.30684932 752 | 1758,Man,21.10684932 753 | 1759,Woman,20.30684932 754 | 1760,Man,20.30684932 755 | 1761,Woman,20.30684932 756 | 1762,Man,22.50684932 757 | 1763,Woman,20.30684932 758 | 1764,Man,21.30684932 759 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # R-Tutorial-Data-Files 2 | Contains data files that are referenced in R tutorials from the following YouTube playlist: https://www.youtube.com/playlist?list=PLKkRkURCtPjCJOZHskCoyJCPb8wMDs2CW 3 | -------------------------------------------------------------------------------- /Regression.csv: -------------------------------------------------------------------------------- 1 | points,pay 2 | 245,66123 3 | 660,51142 4 | 757,75111 5 | 802,71092 6 | 919,109646 7 | 941,99925 8 | 999,134512 9 | -------------------------------------------------------------------------------- /Sample1.csv: -------------------------------------------------------------------------------- 1 | PerfEval,WorkSample,SJT,Consc 2 | 5.1,7.5,7.9,4.9 3 | 5,8.1,5.6,2.4 4 | 3.5,7.6,4.4,3.1 5 | 5,6.6,5.7,4.5 6 | 4,6,8.5,3.6 7 | 4.4,6,5.8,4.8 8 | 5.2,8,6.1,4.7 9 | 5.1,8.8,4.7,4.9 10 | 3.8,6.1,4.5,3.2 11 | 3.1,6.5,5.1,4.6 12 | 5.3,7.5,6.3,4.6 13 | 6.2,6.5,6.2,5.5 14 | 3.7,4.9,6.2,1.9 15 | 4.9,8,5,3.5 16 | 5.4,8.6,7,3.9 17 | 5.2,6.8,6.3,5.8 18 | 5.8,8.9,5.1,5.6 19 | 5,8.6,3.2,4.8 20 | 4.9,6.2,3.2,4.3 21 | 6.3,8.2,7.7,2.4 22 | 3.1,4.9,3.9,3.1 23 | 4.9,7.6,8,3.6 24 | 5.8,8.9,4.7,3.8 25 | 3.7,7.5,8.2,3.6 26 | 5.1,7.2,4.2,4 27 | 5.2,7.6,6.1,4.3 28 | 3.7,5.3,5.3,3.4 29 | 4.4,5.5,6.3,5.3 30 | 4.1,7.1,7.3,3.4 31 | 4.2,4.9,4.7,4 32 | 4.7,7.5,6,3.2 33 | 4.7,6.7,6.8,4.9 34 | 4,6.9,4.9,2 35 | 6,8.6,6.2,5.5 36 | 4.6,7.5,8.7,3.1 37 | 5.2,7.6,5.1,3.6 38 | 5.1,6.3,7,4.4 39 | 5,5.5,5.3,4 40 | 4,6.9,5.5,2.9 41 | 4.9,9.8,6.8,2.9 42 | 4.4,8.2,7.4,3.5 43 | 5.3,8.4,7.1,4.5 44 | 4.3,7.6,5.3,4.5 45 | 4.6,6.7,7,4.4 46 | 3.8,5.6,4.3,5.1 47 | 4.5,7.8,4.6,4.9 48 | 5.6,8.1,3,5.4 49 | 4.4,5.7,5.3,3.3 50 | 4.9,7.7,4.5,3.2 51 | 4.2,5.8,6.3,3.8 52 | 5.7,5.8,5.4,5.9 53 | 6,7.1,7.6,4.9 54 | 3.8,5.9,4.1,4.3 55 | 5,7.4,6,2.9 56 | 4.8,7.5,2.7,4.8 57 | 5.3,7.7,6.7,4.1 58 | 5.7,6,6.3,5.6 59 | 4.6,7.5,3.1,3.6 60 | 4.4,7.4,6.5,5.2 61 | 5,8.6,5.3,4.9 62 | 4,6.8,7.1,4.5 63 | 4.7,7,6.1,3.6 64 | 3.9,5.4,5.9,4.9 65 | 4.7,8.2,4.2,3.5 66 | 4.7,6.9,4.3,4.5 67 | 4.2,4.2,4.3,4.6 68 | 5,7.2,7.3,4.7 69 | 5.4,8.5,8.6,4.3 70 | 5.7,6.3,4.6,4.4 71 | 5.6,7.6,5.3,4.6 72 | 3.9,7.3,5.2,4.2 73 | 3.2,5.2,4.3,2.2 74 | 3.8,4.7,4.3,5 75 | 4.2,8.1,6.1,5 76 | 6.3,7.9,6.9,5 77 | 4.7,7.5,3.9,3.9 78 | 3.4,5.7,6.1,3.9 79 | 6,7.6,5.4,3.9 80 | 5.5,7.5,4.2,3.9 81 | 4.9,6.9,5.7,5.1 82 | 4.3,5.6,5.1,6 83 | 4.3,7,6.3,3 84 | 5.6,6.7,5.6,4.7 85 | 4.4,6,4.9,5 86 | 3.9,6.7,5.4,4.8 87 | 4.6,6.2,5.8,4.6 88 | 4.5,6.7,5.7,3.5 89 | 5.3,8.2,7.4,4.3 90 | 4,6.6,4.4,3.8 91 | 4,6,3.5,3.4 92 | 5.5,7.6,5.3,4.5 93 | 4.4,6.1,4.2,2.9 94 | 4.8,7.4,5,3.7 95 | 4.5,7,7.6,3.4 96 | 4.3,7.5,8.3,3.6 97 | 4.5,5.3,6.1,2.1 98 | 5.4,8.2,3.8,4.6 99 | 3.7,8.2,4,4.1 100 | 3.7,7,5.3,3.3 101 | 4.6,6.4,6.8,5.2 102 | 4.8,4.8,6.1,3.8 103 | 4.9,6.1,6.8,3.6 104 | 4.6,6.3,4.7,3.8 105 | 4.6,6.5,4.7,4.5 106 | 5.1,9,6.6,5 107 | 5.1,7,5.2,4.6 108 | 3.8,4.8,3.8,3.5 109 | 3,5.3,2.5,4.4 110 | 5.8,6.1,6.5,3.9 111 | 4.6,8.2,6.1,4.1 112 | 5.2,5.8,5.8,4.9 113 | 5,6.6,6.3,3.6 114 | 4.1,7.2,5.6,3.2 115 | 6.3,8.3,7.3,5.3 116 | 5.2,4.7,6.6,4.7 117 | 4.4,6.7,5.1,5.1 118 | 4.4,8,5.1,2.8 119 | 4.9,8.8,5.2,4.2 120 | 6.3,8.1,6.4,5.4 121 | 4.6,6.9,6.3,2.2 122 | 4.9,6.5,7.9,3.5 123 | 5.2,7.3,2.8,4.2 124 | 4.1,8.1,4.5,2.9 125 | 5.2,8.8,5.4,3.8 126 | 3.3,8.2,3.5,2.1 127 | 4.6,8.3,5.6,4 128 | 4.9,6.9,4,4.4 129 | 6.5,7.6,4.2,5.1 130 | 4.6,7.6,4.4,2.3 131 | 4.7,7.1,4.8,3.3 132 | 5.2,9.2,6,4.9 133 | 4.5,8.1,7,4.7 134 | 4.5,7.3,6.5,2.9 135 | 5.5,8.2,6.3,5.5 136 | 4.3,6.7,5.7,5 137 | 4.3,5.1,6.4,4.7 138 | 4.8,5.7,6,4.1 139 | 5.3,7.4,3.4,6.5 140 | 4.2,7.4,3.2,3.4 141 | 3,6.1,4.6,2.5 142 | 5,6.2,3.4,4.3 143 | 4.3,5.1,8.8,3.6 144 | 4.6,6.9,5.3,4 145 | 4,6.6,4.9,3.6 146 | 4.3,7.8,5.8,3.7 147 | 4.8,7,7.2,2.8 148 | 5.2,7.4,7.8,4.5 149 | 5.1,8.2,5.4,4.5 150 | 4.1,6.1,4.6,3.1 151 | 3.7,5.8,4,2.5 152 | 4.8,5.2,6.2,3.8 153 | 4.7,7.1,5,4.6 154 | 4.8,6.7,5.4,2.9 155 | 5.8,8.6,7.1,2.6 156 | 4.8,9.1,9.2,4.5 157 | 5.7,8,3.8,4.2 158 | 3.7,6.2,4.3,3 159 | 3.9,5.2,6.7,3.7 160 | 5.2,8.5,2.5,4.1 161 | 5.2,7,2.7,3.2 162 | 4.6,6.4,5,3.7 163 | 3.6,5.7,6.8,3.6 164 | 4.7,7.3,5.2,4.9 165 | 5,6.8,8.2,3.7 166 | 4.9,5.4,3.9,6.7 167 | 5.5,8.4,7.1,4.8 168 | 4.9,7.3,5.2,6 169 | 3.5,5.1,4.9,4.7 170 | 3.6,5.1,2.1,3.8 171 | 3.2,5.5,5.9,5.2 172 | 5.4,8.5,7.3,3.9 173 | 4.6,7.9,3.8,5.5 174 | 5,7.1,8.7,2.7 175 | 5.6,10,5.7,6.8 176 | 5.8,8.3,6.9,4.4 177 | 5.2,8.7,3.9,5.4 178 | 4.3,5.5,5.3,3.2 179 | 3.1,6.3,4.9,5.3 180 | 4.6,6.5,5.5,4.1 181 | 5.5,7.4,3.7,4 182 | 4.9,6.7,6.5,4.6 183 | 5,7.3,7.8,4.1 184 | -------------------------------------------------------------------------------- /Sample2.csv: -------------------------------------------------------------------------------- 1 | PerfEval,WorkSample,SJT,Consc 2 | 4,6.7,4.4,4.3 3 | 4.3,9,3.7,1.7 4 | 3.9,6.8,5.6,4.5 5 | 5.6,7.6,6.8,5.2 6 | 4.5,4.5,6.9,3.8 7 | 4.9,8.1,7.4,4.3 8 | 4.2,6.5,6.4,3.7 9 | 4.7,7.1,7,5.1 10 | 4.5,6.1,7.2,4.1 11 | 5.6,5.3,10,4.3 12 | 4.5,7.1,4,1.2 13 | 5.9,7,4.7,4 14 | 5.1,6.3,5.1,3.9 15 | 4.2,4.7,5.2,3.5 16 | 6.1,7,7.9,4 17 | 5.2,7.1,6,3.3 18 | 4.6,5.8,7.8,5.7 19 | 4.7,7,6.2,4.4 20 | 4.8,8.3,4.2,4.6 21 | 4.1,7.3,6.2,4.7 22 | 4.1,6.6,4.6,3.2 23 | 4.7,7,5.7,3.2 24 | 5,7.1,7.2,3 25 | 5.8,7.9,6.5,5.1 26 | 4.7,6,5.9,4.7 27 | 4.3,7,3.1,3.5 28 | 4.6,7.6,5.7,4.9 29 | 6.4,6.4,5.8,5.7 30 | 5.5,7.2,4.8,2.3 31 | 4.5,7.2,6.1,2.8 32 | 4.4,6.4,3.5,4 33 | 4.3,8.6,4.8,3.6 34 | 5.7,10,4.1,2.8 35 | 4.6,5.8,6.8,4.6 36 | 4.2,6.3,4.5,3.9 37 | 4,7.2,6.8,5.7 38 | 6.3,5.3,6,3.8 39 | 5.3,6.7,7.7,3.2 40 | 5.5,6.3,7.5,3.1 41 | 6.7,8.8,7.8,6 42 | 5.8,6.9,6.4,4.2 43 | 6.2,8.4,6.2,4.9 44 | 5.2,5.8,5.6,4.5 45 | 5.8,7.6,8.3,5 46 | 6.2,7.2,7.2,6.3 47 | 5.3,7.5,7.5,4.2 48 | 5.2,4.9,7.3,4.4 49 | 3.9,7.2,4.1,2.9 50 | 4.9,6.9,5.6,4 51 | 4.5,7.3,4.2,4.6 52 | 4.5,6.9,3.6,4 53 | 6.5,9,8,6 54 | 5,5.1,6.4,5.4 55 | 5.3,8.4,3.2,4.5 56 | 3.9,4.7,5.2,2.8 57 | 4.1,6.4,5.3,3.8 58 | 5,7.1,5.5,3.3 59 | 4.4,6.9,4.9,3.7 60 | 3.6,4.7,4.9,1.3 61 | 3.6,5.8,6.6,3.9 62 | 5.4,7.9,5.9,3.1 63 | 2.9,4,7.7,5.3 64 | 5.2,6.5,7.5,3.3 65 | 4.9,7.5,7.2,2.9 66 | 5.7,8.1,6.7,4 67 | 3.5,5.9,3.8,3 68 | 4,6.6,8.1,4.7 69 | 5.5,7.7,6.7,4.7 70 | 4.3,7.6,5.3,5 71 | 3.8,5.8,5.7,4.2 72 | 5.2,6.5,5.9,4.9 73 | 4.7,4.8,4.9,5.4 74 | 4.6,5.9,5,4.5 75 | 5.1,7.8,5.7,3.4 76 | 4.3,7.4,6.1,4.2 77 | 5,5.3,6.2,6.1 78 | 4,5.8,5.4,3.4 79 | 5.3,7.9,3.4,6.2 80 | 3.9,6,4.2,2.5 81 | 4.8,6.6,9.1,3.3 82 | 4.8,7.3,6.7,2.6 83 | 5.1,8.1,5.2,5.5 84 | 4.4,6.3,5.6,5.6 85 | 4.6,7.5,4.1,3.9 86 | 5.3,7.9,5.1,3.4 87 | 6.1,8.7,6,4.6 88 | 4.5,7.1,6.9,2.1 89 | 4.7,7.2,8.3,3.5 90 | 4.8,4.1,5.6,3.6 91 | 5.9,9.1,7.8,4.2 92 | 4.4,7.3,5,4.8 93 | 4.8,6.5,4.1,5.2 94 | 5.4,7.3,7.3,5.3 95 | 2.3,6.2,4.5,4.1 96 | 3.1,6.7,3.5,3.7 97 | 5.9,10,5,4.5 98 | 5.8,9.2,3.7,4.2 99 | 5.4,8.3,4.9,5.2 100 | 5.4,8.6,6.8,4.4 101 | 5.3,7.5,5,4.3 102 | 4,7.8,3.2,3.6 103 | 5.4,6.8,6.1,3.8 104 | 5.8,6.9,5.4,3.5 105 | 5.6,9.2,4.7,4 106 | 4.3,5.7,4.1,3.2 107 | 4.6,7.2,8.8,3.7 108 | 5.5,7.3,5,3.2 109 | 5.6,8.6,4.4,5.2 110 | 5.7,6.8,5.1,5.7 111 | 4.3,5.8,4.7,5.5 112 | 4.2,7.8,5,3.7 113 | 3.9,5.5,2.8,4.2 114 | 3.9,4.5,4.3,5.5 115 | 4.1,5.5,6.3,1.3 116 | 3.9,5.1,5,3.5 117 | 3.8,5.5,5.3,3.7 118 | 3.4,6.3,6.4,4.8 119 | 3.8,5.5,6.4,2 120 | 4.8,6.7,5.8,4.7 121 | 5.8,4.3,7.1,6.5 122 | 4.7,8.4,4,3.7 123 | 4.3,7,2.4,3.9 124 | 5.6,10,4.3,3.5 125 | 4.5,7.3,4.3,4.1 126 | 5.8,6.9,6.5,5.4 127 | 3.6,6.7,5.3,2.5 128 | 5.2,7.3,5.9,3 129 | 5.3,6.2,5.7,4.1 130 | 5,6,4.7,4.7 131 | 4.6,7.3,4.5,4.3 132 | 2.9,4,6.3,2.5 133 | 4.6,6.3,5.6,3.9 134 | 4.7,6.5,7.4,2.9 135 | 5.5,8.1,4.4,5.7 136 | 4.3,5.8,6.6,3.8 137 | 4.8,9.4,7.2,3.3 138 | 5.3,7.9,5.4,4.5 139 | 3.6,5.5,3.8,2.5 140 | 6.5,8.3,6.7,4.5 141 | 4,6.9,3.7,4.6 142 | 5,5.9,4.7,5.2 143 | 4.8,7.3,5.1,3.1 144 | 3.2,6.9,6.3,3.8 145 | 5.5,9.6,5.5,4.9 146 | 6.1,6.1,5.3,5.3 147 | 4.2,6.5,6.6,4.6 148 | 5.2,6.8,3.3,5.6 149 | 5.3,6.9,5.7,4.6 150 | 3.8,7.2,3.8,4.3 151 | 5,6.5,7.4,3.9 152 | 6.1,9.8,7.1,3.8 153 | 4.8,6,8.5,2.4 154 | 4.3,5.3,3.8,4.1 155 | 4,5.7,5.7,2.9 156 | 4.3,7.5,5.2,4 157 | 4.8,5.4,6.3,3.9 158 | 2.9,5.5,5.2,3.9 159 | 4.5,6.7,5.1,3.3 160 | 4.5,7,4.3,5.3 161 | 5.3,10,6.3,3.8 162 | 4.9,8.3,4.3,6.5 163 | 5.8,6.1,6.1,3 164 | 4.6,8.6,5.9,5.2 165 | 4.7,6.4,6.7,4.4 166 | 5,5.5,4.8,3.6 167 | 5.7,6.1,4.9,4.5 168 | -------------------------------------------------------------------------------- /SelectionData.csv: -------------------------------------------------------------------------------- 1 | EmployeeID,Conscientiousness,Interview,Performance 2 | 1,3.333333333,3.5,2.35 3 | 2,3.833333333,3.61,1.54 4 | 3,3.333333333,3.42,3.99 5 | 4,4,4.48,3.78 6 | 5,3.666666667,4.82,3.77 7 | 6,4,3.54,3.51 8 | 7,3.166666667,3.87,3.65 9 | 8,2.333333333,3.54,1.55 10 | 9,2.833333333,4.08,2.51 11 | 10,4.833333333,5,3.63 12 | 11,2,2.85,2.8 13 | 12,4.333333333,3.4,2.91 14 | 13,3.333333333,4.33,3.12 15 | 14,4,3.68,3.01 16 | 15,4,5,2.62 17 | 16,2.666666667,3.3,2.13 18 | 17,3.833333333,3.57,2.53 19 | 18,3.333333333,4.33,2.89 20 | 19,3,3.88,3.43 21 | 20,4,4,3.22 22 | 21,3.666666667,3.19,2.58 23 | 22,4.166666667,4.39,4.19 24 | 23,4.833333333,3.54,3.98 25 | 24,3,3.43,3.29 26 | 25,3.833333333,3.95,3.1 27 | 26,2.666666667,3.27,1.65 28 | 27,3.5,3.04,2.5 29 | 28,3,3.78,1 30 | 29,3,3.44,2.51 31 | 30,2.666666667,2.92,2.06 32 | 31,2.5,3.01,2.1 33 | 32,3.5,3.51,2.22 34 | 33,3.166666667,3.36,3.1 35 | 34,3,3.21,4.56 36 | 35,3.166666667,2.54,2.81 37 | 36,5,4.95,3.42 38 | 37,3.333333333,3.48,2.07 39 | 38,4.666666667,4.05,3.79 40 | 39,2,1.92,1 41 | 40,2.833333333,2.61,2.52 42 | 41,3.666666667,3.92,4.02 43 | 42,3.833333333,4.7,3.32 44 | 43,2.333333333,3.12,1 45 | 44,2.833333333,3.93,3.16 46 | 45,3.166666667,3.44,3.53 47 | 46,3.5,4.42,3.08 48 | 47,2.666666667,3.65,2.16 49 | 48,3.166666667,3.58,1 50 | 49,2.166666667,1.67,2.18 51 | 50,4.5,3.93,4.16 52 | 51,3.166666667,2.86,2.41 53 | 52,3.5,4.07,3.24 54 | 53,3.833333333,4.59,3.73 55 | 54,3.166666667,3.71,1 56 | 55,3,3.21,4.45 57 | 56,3.666666667,3.97,2.01 58 | 57,4,3.42,4.18 59 | 58,4.5,3.34,2.82 60 | 59,4,3.24,3.51 61 | 60,3.166666667,4.52,4.54 62 | 61,2.5,3.45,2.38 63 | 62,3,3.11,3.3 64 | 63,2.833333333,3.91,3.09 65 | 64,5,5,5 66 | 65,2.333333333,3.15,1.8 67 | 66,3.833333333,2.38,2.79 68 | 67,2.666666667,3.88,1.64 69 | 68,3,2.69,2.36 70 | 69,2.333333333,2.57,2.95 71 | 70,3.5,4.66,3.67 72 | 71,3.833333333,4.07,2.82 73 | 72,4,4.14,4.38 74 | 73,4,3.07,2.06 75 | 74,3.5,3.98,2.98 76 | 75,3.333333333,2.31,3.65 77 | 76,3.5,3.99,3.13 78 | 77,2.666666667,2.54,2.16 79 | 78,3.666666667,4.27,3.8 80 | 79,4.333333333,4.48,3.07 81 | 80,3.666666667,3.75,3.66 82 | 81,2.833333333,3.69,2.2 83 | 82,3.333333333,3.44,3 84 | 83,3.166666667,3.65,2.15 85 | 84,2.833333333,3.4,2.41 86 | 85,4.333333333,3.95,3.53 87 | 86,3,3.88,3.11 88 | 87,3.333333333,4.17,2.81 89 | 88,4,3.05,2.74 90 | 89,3.333333333,3.86,4.4 91 | 90,2.333333333,3.77,1.96 92 | 91,3.333333333,3.53,3.8 93 | 92,4,3.53,5 94 | 93,4.166666667,3,3.05 95 | 94,3.833333333,3.19,2.79 96 | 95,4.333333333,5,4.8 97 | 96,4.333333333,4.24,3.41 98 | 97,3.333333333,3.73,2.97 99 | 98,2.833333333,3.53,3.56 100 | 99,2.5,4.06,1 101 | 100,3.166666667,4,2.6 102 | 101,3.333333333,3.07,2.38 103 | 102,4.833333333,3.71,3.23 104 | 103,3.666666667,3.29,3.3 105 | 104,4,3.3,2.89 106 | 105,3.333333333,4.77,3.54 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-------------------------------------------------------------------------------- 1 | consc,los 2 | 1.07,472 3 | 1.31,170 4 | 1.38,108 5 | 1.59,332 6 | 1.85,150 7 | 1.85,375 8 | 1.94,390 9 | 2.28,481 10 | 2.36,290 11 | 2.42,141 12 | 2.61,229 13 | 2.68,394 14 | 2.74,281 15 | 2.96,433 16 | 2.96,209 17 | 3.09,563 18 | 3.27,443 19 | 3.85,146 20 | 3.93,292 21 | 3.94,211 22 | 3.96,343 23 | 4.1,333 24 | 4.19,304 25 | 4.3,138 26 | 4.3,302 27 | 4.37,58 28 | 4.4,422 29 | 4.66,411 30 | 4.73,268 31 | 4.9,491 32 | 4.92,343 33 | 4.97,342 34 | 5.1,693 35 | 5.17,1104 36 | 5.41,255 37 | 5.58,454 38 | 5.83,330 39 | 5.95,413 40 | 6.02,163 41 | 6.06,114 42 | 6.18,350 43 | 6.24,331 44 | 6.27,90 45 | 6.27,412 46 | 6.37,858 47 | 6.45,68 48 | 6.46,133 49 | 6.47,560 50 | 6.48,104 51 | 6.56,2023 52 | 6.63,65 53 | 6.72,1205 54 | 6.74,674 55 | 7.02,123 56 | 7.16,962 57 | 7.17,255 58 | 7.29,465 59 | 7.39,1830 60 | 7.4,1414 61 | 7.41,913 62 | 7.49,1077 63 | 7.51,357 64 | 7.53,176 65 | 7.79,807 66 | 8.05,379 67 | 8.07,436 68 | 8.08,160 69 | 8.27,231 70 | 8.3,715 71 | 8.32,762 72 | 8.45,313 73 | 8.67,187 74 | 8.69,1018 75 | 8.87,598 76 | 9.27,1139 77 | 9.27,1743 78 | 9.32,1651 79 | 9.54,1268 80 | 9.59,1490 81 | -------------------------------------------------------------------------------- /TrainingEval_inclass.csv: -------------------------------------------------------------------------------- 1 | EmpID,TrainingCondition,PreTest,PostTest 2 | 26,New,43,66 3 | 27,New,58,74 4 | 28,New,52,62 5 | 29,New,47,84 6 | 30,New,43,78 7 | 31,New,50,73 8 | 32,New,66,60 9 | 33,New,48,61 10 | 34,New,49,71 11 | 35,New,49,83 12 | 36,New,51,73 13 | 37,New,46,73 14 | 38,New,52,69 15 | 39,New,59,66 16 | 40,New,57,76 17 | 41,New,45,82 18 | 42,New,60,61 19 | 43,New,45,83 20 | 44,New,66,77 21 | 45,New,54,73 22 | 46,New,60,71 23 | 47,New,61,75 24 | 48,New,61,69 25 | 49,New,51,74 26 | 50,New,45,75 27 | 1,Old,51,74 28 | 2,Old,47,65 29 | 3,Old,40,62 30 | 4,Old,37,68 31 | 5,Old,42,70 32 | 6,Old,53,60 33 | 7,Old,44,79 34 | 8,Old,45,65 35 | 9,Old,51,79 36 | 10,Old,74,59 37 | 11,Old,50,53 38 | 12,Old,37,65 39 | 13,Old,50,64 40 | 14,Old,50,53 41 | 15,Old,43,42 42 | 16,Old,48,60 43 | 17,Old,56,59 44 | 18,Old,51,60 45 | 19,Old,36,67 46 | 20,Old,51,51 47 | 21,Old,47,49 48 | 22,Old,58,60 49 | 23,Old,49,62 50 | 24,Old,46,61 51 | 25,Old,75,46 52 | -------------------------------------------------------------------------------- /TrainingEvaluation_PostControl.csv: -------------------------------------------------------------------------------- 1 | EmpID,Condition,PostTest 2 | 26,New,66 3 | 27,New,74 4 | 28,New,62 5 | 29,New,84 6 | 30,New,78 7 | 31,New,73 8 | 32,New,60 9 | 33,New,61 10 | 34,New,71 11 | 35,New,83 12 | 36,New,73 13 | 37,New,73 14 | 38,New,69 15 | 39,New,66 16 | 40,New,76 17 | 41,New,82 18 | 42,New,61 19 | 43,New,83 20 | 44,New,77 21 | 45,New,73 22 | 46,New,71 23 | 47,New,75 24 | 48,New,69 25 | 49,New,74 26 | 50,New,75 27 | 1,Old,74 28 | 2,Old,65 29 | 3,Old,62 30 | 4,Old,68 31 | 5,Old,70 32 | 6,Old,60 33 | 7,Old,79 34 | 8,Old,65 35 | 9,Old,79 36 | 10,Old,59 37 | 11,Old,53 38 | 12,Old,65 39 | 13,Old,64 40 | 14,Old,53 41 | 15,Old,42 42 | 16,Old,60 43 | 17,Old,59 44 | 18,Old,60 45 | 19,Old,67 46 | 20,Old,51 47 | 21,Old,49 48 | 22,Old,60 49 | 23,Old,62 50 | 24,Old,61 51 | 25,Old,46 52 | -------------------------------------------------------------------------------- /TrainingEvaluation_PrePostControl.csv: -------------------------------------------------------------------------------- 1 | EmpID,Condition,PreTest,PostTest 2 | 26,New,41,66 3 | 27,New,56,74 4 | 28,New,50,62 5 | 29,New,45,84 6 | 30,New,41,78 7 | 31,New,48,73 8 | 32,New,64,60 9 | 33,New,46,61 10 | 34,New,47,71 11 | 35,New,47,83 12 | 36,New,49,73 13 | 37,New,44,73 14 | 38,New,50,69 15 | 39,New,57,66 16 | 40,New,55,76 17 | 41,New,43,82 18 | 42,New,53,61 19 | 43,New,43,83 20 | 44,New,64,77 21 | 45,New,52,73 22 | 46,New,58,71 23 | 47,New,54,75 24 | 48,New,59,69 25 | 49,New,49,74 26 | 50,New,43,75 27 | 1,Old,51,74 28 | 2,Old,47,65 29 | 3,Old,40,62 30 | 4,Old,37,68 31 | 5,Old,42,70 32 | 6,Old,53,60 33 | 7,Old,44,79 34 | 8,Old,45,65 35 | 9,Old,51,79 36 | 10,Old,59,59 37 | 11,Old,50,53 38 | 12,Old,37,65 39 | 13,Old,50,64 40 | 14,Old,50,53 41 | 15,Old,43,42 42 | 16,Old,48,60 43 | 17,Old,56,59 44 | 18,Old,51,60 45 | 19,Old,36,67 46 | 20,Old,51,51 47 | 21,Old,47,49 48 | 22,Old,58,60 49 | 23,Old,49,62 50 | 24,Old,46,61 51 | 25,Old,60,46 52 | -------------------------------------------------------------------------------- /TrainingEvaluation_PrePostOnly.csv: -------------------------------------------------------------------------------- 1 | EmpID,PreTest,PostTest 2 | 26,43,66 3 | 27,58,74 4 | 28,52,62 5 | 29,47,84 6 | 30,43,78 7 | 31,50,73 8 | 32,66,60 9 | 33,48,61 10 | 34,49,71 11 | 35,49,83 12 | 36,51,73 13 | 37,46,73 14 | 38,52,69 15 | 39,59,66 16 | 40,57,76 17 | 41,45,82 18 | 42,60,61 19 | 43,45,83 20 | 44,66,77 21 | 45,54,73 22 | 46,60,71 23 | 47,61,75 24 | 48,61,69 25 | 49,51,74 26 | 50,45,75 27 | -------------------------------------------------------------------------------- /TrainingEvaluation_ThreeGroupPost.csv: -------------------------------------------------------------------------------- 1 | EmpID,Condition,PostTest 2 | 1,No,74 3 | 2,No,65 4 | 3,No,62 5 | 4,No,68 6 | 5,No,70 7 | 6,No,61 8 | 7,No,79 9 | 8,No,67 10 | 9,No,79 11 | 10,No,59 12 | 11,No,53 13 | 12,No,65 14 | 13,No,64 15 | 14,No,53 16 | 15,No,56 17 | 16,No,60 18 | 17,No,59 19 | 18,No,60 20 | 19,No,70 21 | 20,No,51 22 | 21,No,54 23 | 22,No,60 24 | 23,No,62 25 | 24,No,61 26 | 25,No,47 27 | 26,New,66 28 | 27,New,74 29 | 28,New,62 30 | 29,New,84 31 | 30,New,78 32 | 31,New,73 33 | 32,New,60 34 | 33,New,61 35 | 34,New,71 36 | 35,New,83 37 | 36,New,73 38 | 37,New,73 39 | 38,New,69 40 | 39,New,66 41 | 40,New,76 42 | 41,New,82 43 | 42,New,61 44 | 43,New,83 45 | 44,New,77 46 | 45,New,73 47 | 46,New,71 48 | 47,New,75 49 | 48,New,69 50 | 49,New,74 51 | 50,New,75 52 | 51,Old,79 53 | 52,Old,74 54 | 53,Old,71 55 | 54,Old,70 56 | 55,Old,70 57 | 56,Old,81 58 | 57,Old,51 59 | 58,Old,66 60 | 59,Old,75 61 | 60,Old,83 62 | 61,Old,67 63 | 62,Old,70 64 | 63,Old,66 65 | 64,Old,54 66 | 65,Old,65 67 | 66,Old,79 68 | 67,Old,63 69 | 68,Old,72 70 | 69,Old,64 71 | 70,Old,61 72 | 71,Old,65 73 | 72,Old,71 74 | 73,Old,56 75 | 74,Old,78 76 | 75,Old,89 77 | -------------------------------------------------------------------------------- /Turnover.csv: -------------------------------------------------------------------------------- 1 | ID,Turnover,JS,OC,TI,NAff 2 | EMP559,1,4.96,5.32,0.51,1.87 3 | EMP561,1,1.72,1.47,4.08,2.48 4 | EMP571,1,1.64,0.87,2.65,2.84 5 | EMP589,1,3.01,2.15,4.17,2.43 6 | EMP592,1,3.04,1.94,3.27,2.76 7 | EMP601,1,3.81,3.81,3.01,3.67 8 | EMP607,0,1.38,0.83,3.18,2.3 9 | EMP609,1,3.92,3.88,1.7,2.8 10 | EMP610,1,2.35,3.03,2.44,2.71 11 | EMP614,1,1.69,2.82,2.58,2.07 12 | EMP617,1,3.62,1.08,3.53,2.74 13 | EMP619,0,1.72,3.88,1.78,2.11 14 | EMP634,0,1.96,3.02,3.41, 15 | EMP636,0,4.14,2.69,4.33,3.07 16 | EMP641,1,2.03,2.83,3.47,1.84 17 | EMP642,0,3.95,3.7,1.36,2.87 18 | EMP649,1,2.46,1.6,2.65,2.42 19 | EMP643,1,3.35,2.94,3.6,2.08 20 | EMP644,1,2.33,0.8,3.22,2.45 21 | EMP647,0,2.98,2.16,2.41,2.32 22 | EMP677,0,4.64,2.92,1.48,2.43 23 | EMP679,1,3.27,3.19,,1.73 24 | EMP687,0,4.1,3.67,1.89,1.95 25 | EMP688,1,0.23,1.12,4.2,2.38 26 | EMP689,1,2.94,2.05,3.01,2.98 27 | EMP693,1,2.73,3.63,3.36,3.64 28 | EMP698,0,4.15,4.59,1.82,1.52 29 | EMP699,1,3.37,0.49,4.16,1.65 30 | EMP706,0,4.11,3.69,2.53,1.93 31 | EMP707,0,2.96,3.97,1.5,2.2 32 | EMP711,0,1.77,0.72,1.16,2.24 33 | EMP717,0,3.15,1.27,3.48,2.84 34 | EMP721,1,4.88,5.17,1.81,1.76 35 | EMP729,1,2.67,4.22,2.68,1.95 36 | EMP730,1,3.19,4.31,2.59,2.63 37 | EMP732,0,3.26,1.78,1.69,2.21 38 | EMP742,1,3.15,3.61,3.33,2.22 39 | EMP743,1,1.96,2.78,2.93,2.71 40 | EMP746,1,4.43,4.57,2.42,2.41 41 | EMP748,0,3.83,4.08,2.66,1.51 42 | EMP750,1,2.38,2.5,3.44,2.72 43 | EMP764,0,3.9,0.69,2.7,2.53 44 | EMP769,1,3.05,2.77,3.08,1.93 45 | EMP770,1,1.43,4.49,2.99,2.44 46 | EMP773,0,4.59,5.65,1.58,1.95 47 | EMP776,0,3.32,3.26,2.25,1.99 48 | EMP786,0,4.57,3.76,4.27,2.01 49 | EMP787,1,1.05,3.18,2.9,2.04 50 | EMP789,1,1.84,0.27,2.24,2.68 51 | EMP790,0,3.79,5.37,1.83,1.45 52 | EMP803,1,2.79,1.19,3.14,2.35 53 | EMP824,1,,3.91,3.15,2.76 54 | EMP826,0,4.63,4.1,2.01,2.45 55 | EMP828,1,3.49,3.95,3.45,2.59 56 | EMP833,1,3.97,4.2,2.93,2.09 57 | EMP835,0,3.44,3.28,3.37,2.35 58 | EMP837,1,3.87,3.67,3.05,1.72 59 | EMP834,1,5.43,4.36,2.43,3.01 60 | EMP836,1,3.27,5.88,2.65,2.72 61 | EMP840,0,3.25,3.75,2.55,2.31 62 | EMP845,0,2.52,3.96,2.13,1.3 63 | EMP8457,1,1.92,3.62,2.85,3.15 64 | EMP849,1,4.65,2.4,4.16,2.16 65 | EMP854,1,4.26,1.51,2.1,1.73 66 | EMP860,1,2.62,2.32,2.6,3.08 67 | EMP861,1,1.19,1.5,2.95,2.03 68 | EMP862,0,2.65,2.92,3.27,1.94 69 | EMP865,1,2.28,2.72,3.65,2.51 70 | EMP873,1,6,6,2.37,1.45 71 | EMP876,0,5.48,4.23,2.78,2.27 72 | EMP877,0,3.23,1.2,2.18,2.84 73 | EMP880,1,2.08,4.58,4.55,1.62 74 | EMP881,1,5.48,3.19,2.92,2.81 75 | EMP883,0,2.56,4.16,3.15,2.02 76 | EMP885,0,2.57,4.83,2.79,2.11 77 | EMP886,0,3.5,2.85,1.37,3.28 78 | EMP887,1,4.46,1.68,1.8,2.81 79 | EMP891,1,3.22,2.87,2.23,2.81 80 | EMP898,1,3.01,4.49,3.01,1.53 81 | EMP900,0,5.04,2.74,2.92,1.22 82 | EMP904,1,2.93,2.19,2.94,2.34 83 | EMP905,0,3.34,4.26,2.96,1.27 84 | EMP917,0,4.41,4.06,2.41,2.02 85 | EMP927,1,4.66,2.67,3.66,1.91 86 | EMP934,1,1.76,3.1,2.5,2.37 87 | EMP935,1,3.63,3.68,2.65,3.29 88 | EMP951,1,3.42,4.45,2.57,2.23 89 | EMP953,1,0.67,1.84,3.08,2.56 90 | EMP958,0,4.07,5.68,1.21,2.21 91 | EMP963,1,2,2.98,3.55,2.27 92 | EMP964,1,3.21,1.57,2.4,3.11 93 | EMP965,1,3.33,4.59,3.08,2.99 94 | EMP970,0,3.45,4.22,,2.71 95 | EMP980,0,4.03,3.73,1.42,2.41 96 | EMP984,1,2.48,0,4.74,3.18 97 | EMP989,0,2.82,4.39,4.25,2.05 98 | EMP992,0,5.59,3.88,1.62,1.6 99 | EMP997,1,3.69,1.97,3.11,2.21 100 | EMP999,0,4.06,,0.65,2.19 101 | -------------------------------------------------------------------------------- /WilcoxonRankSum.csv: -------------------------------------------------------------------------------- 1 | onboarding,los 2 | no,134 3 | no,14 4 | no,45 5 | no,89 6 | no,449 7 | no,33 8 | no,232 9 | no,442 10 | no,11 11 | no,35 12 | no,168 13 | no,1 14 | no,147 15 | no,9 16 | no,524 17 | no,100 18 | no,30 19 | no,520 20 | no,41 21 | no,169 22 | no,28 23 | no,14 24 | no,1391 25 | no,2 26 | no,30 27 | yes,317 28 | yes,121 29 | yes,214 30 | yes,276 31 | yes,447 32 | yes,188 33 | yes,374 34 | yes,445 35 | yes,105 36 | yes,192 37 | yes,340 38 | yes,326 39 | yes,91 40 | yes,464 41 | yes,287 42 | yes,178 43 | yes,464 44 | yes,205 45 | yes,340 46 | yes,174 47 | yes,122 48 | yes,582 49 | yes,17 50 | yes,179 51 | -------------------------------------------------------------------------------- /WilcoxonSignedRank.csv: -------------------------------------------------------------------------------- 1 | pre_test,post_test 2 | 37,46 3 | 39,49 4 | 41,50 5 | 4,31 6 | 32,44 7 | 2,32 8 | -------------------------------------------------------------------------------- /angoff_applicant.csv: -------------------------------------------------------------------------------- 1 | Applicant_ID,CogAb_i1,CogAb_i2,CogAb_i3,CogAb_i4,CogAb_i5,KnowTest_i1,KnowTest_i2,KnowTest_i3 2 | AA1,0,0,1,0,0,0,0,1 3 | AA2,1,1,1,1,0,1,1,1 4 | AA3,1,1,0,0,0,1,0,1 5 | AA4,1,0,0,1,0,0,0,0 6 | AA5,1,0,1,0,1,1,1,0 7 | AA6,1,1,1,0,0,0,1,1 8 | AA7,0,0,0,0,0,0,1,1 9 | AA8,1,1,0,1,0,0,0,1 10 | AA9,0,1,1,0,0,1,1,1 11 | AA10,1,1,1,1,1,1,1,1 12 | AA11,1,0,0,0,0,1,0,1 13 | AA12,1,0,1,0,0,1,0,0 14 | AA13,1,1,1,0,1,1,1,1 15 | AA14,1,1,0,0,0,0,0,0 16 | AA15,1,0,1,0,0,0,1,1 17 | AA16,1,1,0,0,1,1,0,1 18 | AA17,1,1,0,1,0,1,1,1 19 | AA18,1,1,0,0,1,1,0,1 20 | AA19,1,0,0,0,0,1,0,1 21 | AA20,0,1,0,1,0,1,1,0 22 | -------------------------------------------------------------------------------- /angoff_sme.csv: -------------------------------------------------------------------------------- 1 | SME,CogAb_i1,CogAb_i2,CogAb_i3,CogAb_i4,CogAb_i5,KnowTest_i1,KnowTest_i2,KnowTest_i3 2 | 1,0.78,0.72,0.67,0.53,0.44,0.69,0.7,0.72 3 | 2,0.85,0.72,0.6,0.61,0.46,0.8,0.72,0.76 4 | 3,0.76,0.7,0.59,0.52,0.49,0.69,0.69,0.78 5 | 4,0.75,0.69,0.59,0.56,0.47,0.67,0.69,0.77 6 | 5,0.81,0.69,0.63,0.59,0.45,0.75,0.79,0.73 7 | -------------------------------------------------------------------------------- /app.R: -------------------------------------------------------------------------------- 1 | library(shiny) 2 | 3 | # User Interface 4 | ui <- fluidPage( 5 | titlePanel("Differential Prediction by Protected Class"), 6 | sidebarLayout( 7 | sidebarPanel( 8 | selectInput(inputId="outcome", 9 | label=h3("Criterion"), 10 | choices=list("Performance"="PerfEval", 11 | "Sales"="Sales"), 12 | selected = 1), 13 | selectInput(inputId="predictor", 14 | label=h3("Selection Tool"), 15 | choices=list("Interview"="Interview", 16 | "Work Sample"="WorkSample"), 17 | selected=1), 18 | selectInput(inputId="moderator", 19 | label=h3("Protected Class"), 20 | choices=list("Age"="Age", 21 | "Gender"="Gender", 22 | "Race"="Race"), 23 | selected=1) 24 | ), 25 | mainPanel( 26 | tabsetPanel(type="tabs", 27 | tabPanel("Distributions", # Plots of distributions 28 | fluidRow( 29 | column(4, plotOutput("distribution1")), 30 | column(4, plotOutput("distribution2")), 31 | column(4, plotOutput("distribution3")), 32 | column(6, plotOutput("distribution4")), 33 | column(6, plotOutput("distribution5")))), 34 | tabPanel("Scatterplot", # Plots of distributions 35 | fluidRow(plotOutput("scatter1"))), 36 | tabPanel("Model Summary", verbatimTextOutput("summary")), 37 | tabPanel("Interaction Plot", 38 | fluidRow(plotOutput("interact"))), 39 | tabPanel("Simple Slopes", verbatimTextOutput("slopes")) 40 | )))) 41 | 42 | # Server 43 | server <- function(input, output) { 44 | 45 | # Set up data 46 | library(readr) 47 | library(ggplot2) 48 | library(tidyr) 49 | library(interactions) 50 | library(dplyr) 51 | df <- read_csv("MMR.csv") 52 | df$Interview <- df$Interview - mean(df$Interview, na.rm=TRUE) 53 | df$WorkSample <- df$WorkSample - mean(df$WorkSample, na.rm=TRUE) 54 | df$Age <- ifelse(df$Age < 40, "under_40", "over_40") 55 | drop_na(df) 56 | df <- as.data.frame(df) 57 | 58 | # Histogram output var 1 59 | output$distribution1 <- renderPlot({ 60 | ggplot() + 61 | aes(df[,input$predictor]) + 62 | geom_histogram(fill="darkgrey") + 63 | labs(x="Selection Tool", y="Frequency") + 64 | theme(axis.title=element_text(size=20), 65 | axis.text=element_text(size=16), 66 | axis.line = element_line(colour="black"), 67 | panel.grid.major=element_blank(), 68 | panel.grid.minor=element_blank(), 69 | panel.border=element_blank(), 70 | panel.background=element_blank()) 71 | }, height=300, width=300) 72 | 73 | # Bar chart output var 2 74 | output$distribution2 <- renderPlot({ 75 | ggplot() + 76 | aes(df[,input$moderator]) + 77 | geom_bar(fill=c("#F8766D", "#00BFC4")) + 78 | labs(x="Protected Class", y="Frequency") + 79 | theme(axis.title=element_text(size=20), 80 | axis.text=element_text(size=16), 81 | axis.line = element_line(colour="black"), 82 | panel.grid.major=element_blank(), 83 | panel.grid.minor=element_blank(), 84 | panel.border=element_blank(), 85 | panel.background=element_blank()) 86 | }, height=300, width=300) 87 | 88 | # Histogram output var 3 89 | output$distribution3 <- renderPlot({ 90 | ggplot() + 91 | aes(df[,input$outcome]) + 92 | geom_histogram(fill="black") + 93 | labs(x="Criterion", y="Frequency") + 94 | theme(axis.title=element_text(size=20), 95 | axis.text=element_text(size=16), 96 | axis.line = element_line(colour="black"), 97 | panel.grid.major=element_blank(), 98 | panel.grid.minor=element_blank(), 99 | panel.border=element_blank(), 100 | panel.background=element_blank()) 101 | }, height=300, width=300) 102 | 103 | # Histogram output var 4 104 | output$distribution4 <- renderPlot({ 105 | ggplot() + 106 | aes(x=df[,input$predictor], fill=df[,input$moderator]) + 107 | geom_histogram(position="identity", alpha=.7) + 108 | labs(x="Selection Tool", y="Frequency", fill="Protected Class") + 109 | theme(axis.title=element_text(size=20), 110 | axis.text=element_text(size=16), 111 | axis.line = element_line(colour="black"), 112 | legend.title=element_text(size=20), 113 | legend.text=element_text(size=16), 114 | panel.grid.major=element_blank(), 115 | panel.grid.minor=element_blank(), 116 | panel.border=element_blank(), 117 | panel.background=element_blank()) 118 | }, height=300, width=500) 119 | 120 | # Histogram output var 5 121 | output$distribution5 <- renderPlot({ 122 | ggplot() + 123 | aes(x=df[,input$outcome], fill=df[,input$moderator]) + 124 | geom_histogram(position="identity", alpha=.7) + 125 | labs(x="Criterion", y="Frequency", fill="Protected Class") + 126 | theme(axis.title=element_text(size=20), 127 | axis.text=element_text(size=16), 128 | axis.line = element_line(colour="black"), 129 | legend.title=element_text(size=20), 130 | legend.text=element_text(size=16), 131 | panel.grid.major=element_blank(), 132 | panel.grid.minor=element_blank(), 133 | panel.border=element_blank(), 134 | panel.background=element_blank()) 135 | }, height=300, width=500) 136 | 137 | # Scatterplot 1 output 138 | output$scatter1 <- renderPlot({ 139 | ggplot() + 140 | aes(x=df[,input$predictor], y=df[,input$outcome], color=df[,input$moderator]) + 141 | geom_point() + 142 | labs(x="Selection Tool", y="Criterion", color="Protected Class") + 143 | theme(axis.title=element_text(size=20), 144 | axis.text=element_text(size=16), 145 | legend.title=element_text(size=20), 146 | legend.text=element_text(size=16), 147 | axis.line = element_line(colour="black"), 148 | panel.grid.major=element_blank(), 149 | panel.grid.minor=element_blank(), 150 | panel.border=element_blank(), 151 | panel.background=element_blank()) 152 | }, height=600, width=800) 153 | 154 | # Regression output 155 | output$summary <- renderPrint({ 156 | mod1 <- lm(df[,input$outcome] ~ df[,input$predictor]*df[,input$moderator]) 157 | names(mod1$coefficients) <- c("Intercept", input$predictor, input$moderator, "Interaction") 158 | summary(mod1) 159 | }) 160 | 161 | # Interaction plot 162 | output$interact <- renderPlot({ 163 | ggplot() + 164 | aes(x=df[,input$predictor], y=df[,input$outcome], color=df[,input$moderator]) + 165 | geom_point() + 166 | geom_smooth(method="lm") + 167 | labs(x="Selection Tool", y="Criterion", color="Protected Class") + 168 | theme(axis.title=element_text(size=20), 169 | axis.text=element_text(size=16), 170 | legend.title=element_text(size=20), 171 | legend.text=element_text(size=16), 172 | axis.line = element_line(colour="black"), 173 | panel.grid.major = element_blank(), 174 | panel.grid.minor = element_blank(), 175 | panel.border = element_blank(), 176 | panel.background = element_blank()) 177 | }, height=600, width=800) 178 | 179 | # Simple Slopes 180 | output$slopes <- renderText({ 181 | 182 | mod1 <- lm(df[,input$outcome] ~ df[,input$predictor]*df[,input$moderator]) 183 | 184 | b0 = summary(mod1)$coefficients[1,1] 185 | b1 = summary(mod1)$coefficients[2,1] 186 | b2 = summary(mod1)$coefficients[3,1] 187 | b3 = summary(mod1)$coefficients[4,1] 188 | zlo = 0 189 | zhi = 1 190 | 191 | covmat = vcov(mod1) 192 | var_b1 <- covmat[2,2] 193 | var_b3 <- covmat[4,4] 194 | var_b13 <- covmat[2,4] 195 | 196 | ss_hi = b1 + b3*zhi 197 | se_hi = sqrt(var_b1 + (zhi^2)*var_b3 + 2*zhi*var_b13) 198 | t_hi = ss_hi/se_hi 199 | df = nrow(model.frame(mod1)) - 3 - 1 200 | p_hi = 2*pt(-abs(t_hi), df=df) 201 | 202 | ss_lo = b1 + b3*zlo 203 | se_lo = sqrt(var_b1 + (zlo^2)*var_b3 + 2*zlo*var_b13) 204 | t_lo = ss_lo/se_lo 205 | p_lo = 2*pt(-abs(t_lo), df=df) 206 | 207 | if(input$moderator=="Age"){ 208 | line1 <- paste0("SS of ", input$predictor, " when ", input$moderator, " is over 40 ", 209 | "= ", round(ss_lo, 3), 210 | " (SE=", round(se_lo, 3), ", t=", round(t_lo, 3), ", p=", round(p_lo, 3), ")") 211 | line2 <- paste0("SS of ", input$predictor, " when ", input$moderator, " is under 40 ", 212 | "= ", round(ss_hi, 3), 213 | " (SE=", round(se_hi, 3), ", t=", round(t_hi, 3), ", p=", round(p_hi, 3), ")") 214 | full <- paste0(line1, "\n", line2) 215 | print(full)} 216 | 217 | else if(input$moderator=="Gender"){ 218 | line1 <- paste0("SS of ", input$predictor, " when ", input$moderator, " is woman ", 219 | "= ", round(ss_hi, 3), 220 | " (SE=", round(se_hi, 3), ", t=", round(t_hi, 3), ", p=", round(p_hi, 3), ")") 221 | line2 <- paste0("SS of ", input$predictor, " when ", input$moderator, " is man ", 222 | "= ", round(ss_lo, 3), 223 | " (SE=", round(se_lo, 3), ", t=", round(t_lo, 3), ", p=", round(p_lo, 3), ")") 224 | full <- paste0(line1, "\n", line2) 225 | print(full)} 226 | 227 | else if(input$moderator=="Race"){ 228 | line1 <- paste0("SS of ", input$predictor, " when ", input$moderator, " is Asian ", 229 | "= ", round(ss_hi, 3), 230 | " (SE=", round(se_hi, 3), ", t=", round(t_hi, 3), ", p=", round(p_hi, 3), ")") 231 | line2 <- paste0("SS of ", input$predictor, " when ", input$moderator, " is Black ", 232 | "= ", round(ss_lo, 3), 233 | " (SE=", round(se_lo, 3), ", t=", round(t_lo, 3), ", p=", round(p_lo, 3), ")") 234 | full <- paste0(line1, "\n", line2) 235 | print(full)} 236 | }) 237 | 238 | } 239 | 240 | # shiny App 241 | shinyApp(ui=ui, server=server) 242 | -------------------------------------------------------------------------------- /employee_demo.csv: -------------------------------------------------------------------------------- 1 | EmpID,Facility,Education,Performance,Age 2 | EE123,Beaverton,College Degree,3.8,25 3 | EE124,Beaverton,Some College,9.0,30 4 | EE125,Portland,High School Diploma,8.3,32 5 | EE126,Beaverton,Some College,9.8,28 6 | EE127,Beaverton,Some College,5.7,30 7 | EE128,Beaverton,College Degree,8.2,30 8 | EE129,Beaverton,College Degree,7.3,28 9 | EE130,Beaverton,College Degree,7.7,28 10 | EE131,Portland,Some College,6.3,28 11 | EE132,Hillsboro,Some College,8.4,27 12 | EE133,Portland,Some College,8.4,30 13 | EE134,Portland,High School Diploma,5.8,33 14 | EE135,Beaverton,College Degree,8.1,29 15 | EE136,Portland,Some College,9.5,27 16 | EE137,Beaverton,High School Diploma,7.2,30 17 | EE138,Beaverton,Some College,5.7,30 18 | EE139,Portland,College Degree,5.7,24 19 | EE140,Hillsboro,Some College,8.3,28 20 | EE141,Portland,College Degree,8.2,22 21 | EE142,Beaverton,Some College,8.2,26 22 | EE143,Portland,College Degree,8.2,26 23 | EE144,Beaverton,Some College,10.0,27 24 | EE145,Portland,Some College,6.2,27 25 | EE146,Hillsboro,College Degree,6.7,28 26 | EE147,Hillsboro,Some College,7.1,29 27 | EE148,Hillsboro,College Degree,6.4,28 28 | EE149,Portland,Some College,5.8,23 29 | EE150,Beaverton,Some College,7.0,26 30 | EE151,Beaverton,College Degree,10.0,34 31 | EE152,Beaverton,High School Diploma,4.8,27 32 | -------------------------------------------------------------------------------- /survey.csv: -------------------------------------------------------------------------------- 1 | SurveyID,JobSat1,JobSat2,JobSat3,TurnInt1,TurnInt2,TurnInt3,Engage1,Engage2,Engage3,Engage4 2 | 1,3,3,3,3,3,3,2,1,2,2 3 | 2,4,4,4,3,3,2,4,4,4,4 4 | 3,4,4,5,2,1,2,4,4,4,4 5 | 4,2,3,3,4,4,4,4,4,4,4 6 | 5,3,3,3,4,3,3,3,3,3,3 7 | 6,3,3,3,3,2,2,4,4,5,3 8 | 7,2,2,3,4,3,4,3,3,4,4 9 | 8,2,3,2,3,3,3,4,3,3,4 10 | 9,4,4,4,3,2,3,4,4,4,5 11 | 10,2,,4,4,4,3,4,3,3,3 12 | 11,3,3,4,3,3,3,3,3,3,2 13 | 12,3,3,4,2,2,3,3,4,4,3 14 | 13,4,4,4,4,3,3,4,4,4,4 15 | 14,2,2,2,3,3,3,3,3,3,2 16 | 15,3,4,3,3,3,2,4,5,3,4 17 | 16,3,3,4,3,3,3,4,5,4,5 18 | 17,3,3,4,2,2,3,4,3,4,3 19 | 18,2,3,2,3,4,2,2,1,3,3 20 | 19,2,3,2,,,,3,3,3,3 21 | 20,3,4,4,2,3,3,4,4,3,3 22 | 21,4,3,4,4,3,3,4,5,4,4 23 | 22,3,3,3,3,3,3,4,3,3,4 24 | 23,2,2,3,3,3,3,1,1,2,1 25 | 24,3,,2,1,1,2,4,3,2,4 26 | 25,4,3,4,3,3,2,4,4,4,5 27 | 26,4,3,4,3,3,2,4,3,4,4 28 | 27,1,2,2,4,3,3,2,2,2,2 29 | 28,3,4,5,3,3,3,5,3,3,5 30 | 29,3,2,3,2,2,2,2,2,3,4 31 | 30,2,3,2,3,3,3,3,4,4,4 32 | 31,4,4,5,2,2,2,4,4,5,5 33 | 32,3,4,3,2,2,2,4,4,5,4 34 | 33,3,3,4,2,2,3,4,3,4,4 35 | 34,2,2,2,4,3,4,4,4,3,3 36 | 35,3,3,4,2,3,3,4,4,3,4 37 | 36,2,2,3,4,3,3,2,3,2,2 38 | 37,4,4,4,3,2,2,5,4,4,5 39 | 38,4,4,3,3,3,2,5,5,5,4 40 | 39,3,3,2,2,2,2,3,3,3,3 41 | 40,4,4,3,3,3,4,4,3,4,4 42 | 41,3,4,3,3,3,3,4,3,3,2 43 | 42,3,3,5,4,3,4,3,3,3,3 44 | 43,3,3,5,3,4,3,3,2,3,4 45 | 44,4,4,4,3,2,2,4,4,4,4 46 | 45,4,4,2,3,3,3,4,4,4,4 47 | 46,3,4,5,4,3,2,4,4,4,4 48 | 47,3,3,4,3,3,3,3,4,3,3 49 | 48,4,4,4,2,2,2,4,4,4,5 50 | 49,4,4,4,3,3,2,4,3,4,3 51 | 50,3,3,3,,,,4,4,4,4 52 | 51,3,2,2,4,4,4,3,3,3,2 53 | 52,4,5,4,1,1,1,4,5,4,5 54 | 53,3,3,3,3,3,3,3,3,3,3 55 | 54,2,3,3,3,3,3,2,3,3,3 56 | 55,3,3,2,3,3,3,3,2,3,4 57 | 56,3,4,4,3,3,3,4,4,3,4 58 | 57,3,3,3,2,2,3,5,4,4,4 59 | 58,3,2,3,3,3,4,4,4,3,4 60 | 59,3,,4,4,4,3,5,4,3,4 61 | 60,4,4,3,3,3,3,3,2,3,3 62 | 61,4,4,4,2,3,3,4,3,4,3 63 | 62,4,4,4,3,3,2,5,5,5,5 64 | 63,4,4,4,2,2,2,3,2,3,3 65 | 64,3,4,3,2,2,2,5,5,5,5 66 | 65,4,3,4,4,3,4,3,4,4,4 67 | 66,3,4,3,3,4,3,4,4,3,5 68 | 67,3,4,3,3,3,2,5,4,2,4 69 | 68,4,4,3,3,3,3,3,4,4,5 70 | 69,2,2,2,3,3,3,4,4,5,4 71 | 70,3,4,4,4,3,2,3,3,3,3 72 | 71,5,5,4,3,2,3,3,3,4,4 73 | 72,3,3,3,3,3,3,3,4,3,4 74 | 73,5,5,4,2,2,2,4,4,4,4 75 | 74,3,2,3,3,3,3,4,3,4,4 76 | 75,4,3,4,3,3,3,3,2,4,3 77 | 76,3,3,4,3,3,2,4,4,3,4 78 | 77,3,3,5,2,3,2,4,3,3,4 79 | 78,3,4,4,2,2,2,3,2,2,1 80 | 79,4,3,3,3,4,4,4,4,4,4 81 | 80,4,3,3,3,3,4,3,4,4,4 82 | 81,3,3,3,3,3,4,4,3,4,4 83 | 82,4,3,4,5,4,3,3,3,4,3 84 | 83,3,2,3,3,3,2,4,3,4,4 85 | 84,4,4,5,3,2,2,4,4,3,3 86 | 85,2,1,2,3,3,3,4,4,3,4 87 | 86,3,2,3,4,5,4,4,3,2,3 88 | 87,2,2,3,4,3,4,3,4,3,3 89 | 88,3,3,3,3,2,3,5,3,4,4 90 | 89,3,3,3,3,2,2,5,4,4,4 91 | 90,3,3,3,3,3,3,3,2,3,4 92 | 91,2,2,3,4,4,4,3,2,3,2 93 | 92,1,1,2,4,3,3,3,3,3,3 94 | 93,3,3,5,2,2,2,4,4,4,4 95 | 94,4,4,3,3,4,3,4,3,4,5 96 | 95,4,4,5,1,2,2,4,4,5,4 97 | 96,2,3,3,4,3,4,4,4,3,4 98 | 97,3,3,3,3,3,3,4,4,3,3 99 | 98,4,4,4,2,3,3,4,4,4,4 100 | 99,4,4,5,3,3,3,4,3,3,4 101 | 100,3,3,4,3,3,2,4,3,3,3 102 | 101,3,3,5,3,2,2,5,3,3,3 103 | 102,3,3,2,2,2,3,2,3,2,3 104 | 103,3,3,2,2,2,3,4,3,3,3 105 | 104,2,4,2,5,4,4,3,3,3,2 106 | 105,2,2,3,4,4,4,4,4,4,5 107 | 106,2,2,2,4,4,4,3,2,3,4 108 | 107,4,4,3,3,3,3,4,3,4,4 109 | 108,4,4,4,2,2,3,3,3,3,3 110 | 109,3,4,2,3,3,3,2,3,3,3 111 | 110,2,3,3,3,2,3,4,4,5,4 112 | 111,3,3,2,3,2,2,3,2,3,3 113 | 112,3,4,5,3,3,3,3,4,4,3 114 | 113,3,3,4,3,3,3,3,3,4,3 115 | 114,4,4,4,2,2,1,4,4,3,4 116 | 115,4,4,4,4,3,4,4,3,4,4 117 | 116,4,3,4,3,2,2,3,3,2,4 118 | 117,3,3,3,4,4,4,5,4,4,5 119 | 118,2,3,4,3,4,3,3,3,3,4 120 | 119,3,3,4,3,2,3,4,3,4,3 121 | 120,4,4,3,3,3,3,3,2,3,4 122 | 121,2,2,3,3,3,3,4,4,4,3 123 | 122,2,2,3,4,4,4,3,3,3,3 124 | 123,5,4,3,2,2,3,4,4,4,4 125 | 124,5,4,5,3,3,3,4,4,3,5 126 | 125,4,3,4,2,2,2,3,3,4,4 127 | 126,4,3,5,2,2,2,5,5,5,5 128 | 127,3,4,4,3,3,3,5,5,4,5 129 | 128,3,4,5,3,2,2,4,4,3,4 130 | 129,2,3,3,4,4,3,4,3,3,4 131 | 130,3,3,4,3,3,3,4,3,4,4 132 | 131,3,3,3,3,3,3,3,3,4,4 133 | 132,2,2,2,4,3,3,3,3,2,2 134 | 133,2,3,3,2,2,2,3,2,3,3 135 | 134,4,4,4,2,2,3,4,4,4,4 136 | 135,3,4,4,3,3,3,5,4,4,5 137 | 136,3,3,3,4,4,3,3,2,2,3 138 | 137,3,4,4,3,2,2,4,4,4,4 139 | 138,3,3,3,4,4,3,4,3,3,3 140 | 139,2,2,3,2,2,2,3,3,4,3 141 | 140,3,3,3,4,4,3,4,3,3,3 142 | 141,3,3,3,4,3,4,3,3,2,3 143 | 142,2,2,2,3,3,3,2,2,2,2 144 | 143,3,3,3,4,4,4,3,4,4,3 145 | 144,3,3,3,2,2,2,3,3,3,4 146 | 145,3,3,4,4,3,4,3,4,3,4 147 | 146,3,3,3,3,3,2,3,4,4,4 148 | 147,1,3,4,2,3,3,4,3,3,4 149 | 148,4,5,3,2,2,2,4,3,4,4 150 | 149,3,,3,4,3,3,3,3,2,3 151 | 150,5,5,4,2,3,3,5,5,4,5 152 | 151,4,4,4,2,1,1,3,3,3,2 153 | 152,3,3,4,4,3,4,3,3,3,3 154 | 153,3,3,3,3,2,3,4,4,3,4 155 | 154,3,3,4,3,3,2,3,3,3,4 156 | 155,4,5,4,2,2,2,4,4,4,5 157 | 156,2,3,4,3,3,2,4,3,3,4 158 | -------------------------------------------------------------------------------- /turnover_rate.csv: -------------------------------------------------------------------------------- 1 | Month,Separations,Ave_Employees 2 | 1,12,127 3 | 2,9,107 4 | 3,6,119 5 | 4,4,127 6 | 5,2,113 7 | 6,3,107 8 | 7,5,110 9 | 8,1,125 10 | 9,6,116 11 | 10,7,124 12 | 11,4,117 13 | 12,3,127 14 | --------------------------------------------------------------------------------