Created
January 27, 2023 15:15
-
-
Save alexkreidler/69bc0131cf8411f91afa59e000132b8a to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| EmployeeID | Age | Attrition | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | Shift | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1313919 | 41 | No | Travel_Rarely | 1102 | Cardiology | 1 | 2 | Life Sciences | 1 | 2 | Female | 94 | 3 | 2 | Nurse | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 | |
| 1200302 | 49 | No | Travel_Frequently | 279 | Maternity | 8 | 1 | Life Sciences | 1 | 3 | Male | 61 | 2 | 2 | Other | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 | |
| 1060315 | 37 | Yes | Travel_Rarely | 1373 | Maternity | 2 | 2 | Other | 1 | 4 | Male | 92 | 2 | 1 | Nurse | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1272912 | 33 | No | Travel_Frequently | 1392 | Maternity | 3 | 4 | Life Sciences | 1 | 4 | Female | 56 | 3 | 1 | Other | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 | |
| 1414939 | 27 | No | Travel_Rarely | 591 | Maternity | 2 | 1 | Medical | 1 | 1 | Male | 40 | 3 | 1 | Nurse | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1633361 | 32 | No | Travel_Frequently | 1005 | Maternity | 2 | 2 | Life Sciences | 1 | 4 | Male | 79 | 3 | 1 | Nurse | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 | |
| 1329390 | 59 | No | Travel_Rarely | 1324 | Maternity | 3 | 3 | Medical | 1 | 3 | Female | 81 | 4 | 1 | Nurse | 1 | Married | 2670 | 9964 | 4 | Y | Yes | 20 | 4 | 1 | 80 | 3 | 12 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1699288 | 30 | No | Travel_Rarely | 1358 | Maternity | 24 | 1 | Life Sciences | 1 | 4 | Male | 67 | 3 | 1 | Nurse | 3 | Divorced | 2693 | 13335 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1469740 | 38 | No | Travel_Frequently | 216 | Maternity | 23 | 3 | Life Sciences | 1 | 4 | Male | 44 | 2 | 3 | Therapist | 3 | Single | 9526 | 8787 | 0 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 1 | 8 | |
| 1101291 | 36 | No | Travel_Rarely | 1299 | Maternity | 27 | 3 | Medical | 1 | 3 | Male | 94 | 3 | 2 | Nurse | 3 | Married | 5237 | 16577 | 6 | Y | No | 13 | 3 | 2 | 80 | 2 | 17 | 3 | 2 | 7 | 7 | 7 | 7 | |
| 1430504 | 35 | No | Travel_Rarely | 809 | Maternity | 16 | 3 | Medical | 1 | 1 | Male | 84 | 4 | 1 | Nurse | 2 | Married | 2426 | 16479 | 0 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 5 | 4 | 0 | 3 | |
| 1196281 | 29 | No | Travel_Rarely | 153 | Maternity | 15 | 2 | Life Sciences | 1 | 4 | Female | 49 | 2 | 2 | Nurse | 3 | Single | 4193 | 12682 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 9 | 5 | 0 | 8 | |
| 1207951 | 31 | No | Travel_Rarely | 670 | Maternity | 26 | 1 | Life Sciences | 1 | 1 | Male | 31 | 3 | 1 | Other | 3 | Divorced | 2911 | 15170 | 1 | Y | No | 17 | 3 | 4 | 80 | 1 | 5 | 1 | 2 | 5 | 2 | 4 | 3 | |
| 1080660 | 34 | No | Travel_Rarely | 1346 | Maternity | 19 | 2 | Medical | 1 | 2 | Male | 93 | 3 | 1 | Nurse | 4 | Divorced | 2661 | 8758 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 1 | 2 | |
| 1420391 | 28 | Yes | Travel_Rarely | 103 | Maternity | 24 | 3 | Life Sciences | 1 | 3 | Male | 50 | 2 | 1 | Nurse | 3 | Single | 2028 | 12947 | 5 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 4 | 2 | 0 | 3 | |
| 1337254 | 29 | No | Travel_Rarely | 1389 | Maternity | 21 | 4 | Life Sciences | 1 | 2 | Female | 51 | 4 | 3 | Therapist | 1 | Divorced | 9980 | 10195 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 8 | 8 | |
| 1421335 | 32 | No | Travel_Rarely | 334 | Maternity | 5 | 2 | Life Sciences | 1 | 1 | Male | 80 | 4 | 1 | Other | 2 | Divorced | 3298 | 15053 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 7 | 5 | 2 | 6 | 2 | 0 | 5 | |
| 1262683 | 22 | No | Non-Travel | 1123 | Maternity | 16 | 2 | Medical | 1 | 4 | Male | 96 | 4 | 1 | Nurse | 4 | Divorced | 2935 | 7324 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1599218 | 53 | No | Travel_Rarely | 1219 | Cardiology | 2 | 4 | Life Sciences | 1 | 1 | Female | 78 | 2 | 4 | Administrative | 4 | Married | 15427 | 22021 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 31 | 3 | 3 | 25 | 8 | 3 | 7 | |
| 1634788 | 38 | No | Travel_Rarely | 371 | Maternity | 2 | 3 | Life Sciences | 1 | 4 | Male | 45 | 3 | 1 | Other | 4 | Single | 3944 | 4306 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1334559 | 24 | No | Non-Travel | 673 | Maternity | 11 | 2 | Other | 1 | 1 | Female | 96 | 4 | 2 | Therapist | 3 | Divorced | 4011 | 8232 | 0 | Y | No | 18 | 3 | 4 | 80 | 1 | 5 | 5 | 2 | 4 | 2 | 1 | 3 | |
| 1402945 | 36 | No | Travel_Rarely | 1218 | Cardiology | 9 | 4 | Life Sciences | 1 | 3 | Male | 82 | 2 | 1 | Other | 1 | Single | 3407 | 6986 | 7 | Y | No | 23 | 4 | 2 | 80 | 0 | 10 | 4 | 3 | 5 | 3 | 0 | 3 | |
| 1705718 | 34 | No | Travel_Rarely | 419 | Neurology | 7 | 4 | Life Sciences | 1 | 1 | Female | 53 | 3 | 3 | Other | 2 | Single | 11994 | 21293 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 13 | 4 | 3 | 12 | 6 | 2 | 11 | |
| 1880078 | 21 | No | Travel_Rarely | 391 | Maternity | 15 | 2 | Life Sciences | 1 | 3 | Male | 96 | 3 | 1 | Other | 4 | Single | 1232 | 19281 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 0 | |
| 1801346 | 34 | No | Travel_Rarely | 699 | Maternity | 6 | 1 | Medical | 1 | 2 | Male | 83 | 3 | 1 | Other | 1 | Single | 2960 | 17102 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 4 | 2 | 1 | 3 | |
| 1142160 | 53 | No | Travel_Rarely | 1282 | Neurology | 5 | 3 | Other | 1 | 3 | Female | 58 | 3 | 5 | Other | 3 | Divorced | 19094 | 10735 | 4 | Y | No | 11 | 3 | 4 | 80 | 1 | 26 | 3 | 2 | 14 | 13 | 4 | 8 | |
| 1142062 | 32 | Yes | Travel_Frequently | 1125 | Maternity | 16 | 1 | Life Sciences | 1 | 2 | Female | 72 | 1 | 1 | Other | 1 | Single | 3919 | 4681 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 2 | 6 | 7 | |
| 1789756 | 42 | No | Travel_Rarely | 691 | Cardiology | 8 | 4 | Marketing | 1 | 3 | Male | 48 | 3 | 2 | Nurse | 2 | Married | 6825 | 21173 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 4 | 2 | |
| 1126009 | 44 | No | Travel_Rarely | 477 | Maternity | 7 | 4 | Medical | 1 | 1 | Female | 42 | 2 | 3 | Nurse | 4 | Married | 10248 | 2094 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 22 | 6 | 5 | 17 | |
| 1552176 | 46 | No | Travel_Rarely | 705 | Cardiology | 2 | 4 | Marketing | 1 | 2 | Female | 83 | 3 | 5 | Administrative | 1 | Single | 18947 | 22822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 2 | 2 | 2 | 1 | |
| 1118605 | 33 | No | Travel_Rarely | 924 | Maternity | 2 | 3 | Medical | 1 | 3 | Male | 78 | 3 | 1 | Nurse | 4 | Single | 2496 | 6670 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 7 | 3 | 3 | 1 | 1 | 0 | 0 | |
| 1397325 | 44 | No | Travel_Rarely | 1459 | Maternity | 10 | 4 | Other | 1 | 4 | Male | 41 | 3 | 2 | Nurse | 4 | Married | 6465 | 19121 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 4 | 2 | 1 | 3 | |
| 1874834 | 30 | No | Travel_Rarely | 125 | Maternity | 9 | 2 | Medical | 1 | 4 | Male | 83 | 2 | 1 | Nurse | 3 | Single | 2206 | 16117 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 5 | 3 | 10 | 0 | 1 | 8 | |
| 1275746 | 39 | No | Travel_Rarely | 895 | Cardiology | 5 | 3 | Technical Degree | 1 | 4 | Male | 56 | 3 | 2 | Other | 4 | Married | 2086 | 3335 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 6 | 4 | 1 | 0 | 0 | 0 | |
| 1884939 | 24 | Yes | Travel_Rarely | 813 | Maternity | 1 | 3 | Medical | 1 | 2 | Male | 61 | 3 | 1 | Other | 4 | Married | 2293 | 3020 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 2 | 0 | 2 | 0 | |
| 1650304 | 43 | No | Travel_Rarely | 1273 | Maternity | 2 | 2 | Medical | 1 | 4 | Female | 72 | 4 | 1 | Other | 3 | Divorced | 2645 | 21923 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 1 | 4 | |
| 1058169 | 50 | Yes | Travel_Rarely | 869 | Cardiology | 3 | 2 | Marketing | 1 | 1 | Male | 86 | 2 | 1 | Other | 3 | Married | 2683 | 3810 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1319183 | 35 | No | Travel_Rarely | 890 | Cardiology | 2 | 3 | Marketing | 1 | 4 | Female | 97 | 3 | 1 | Other | 4 | Married | 2014 | 9687 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1872551 | 36 | No | Travel_Rarely | 852 | Maternity | 5 | 4 | Life Sciences | 1 | 2 | Female | 82 | 2 | 1 | Other | 1 | Married | 3419 | 13072 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 6 | 3 | 4 | 1 | 1 | 0 | 0 | |
| 1060693 | 33 | No | Travel_Frequently | 1141 | Cardiology | 1 | 3 | Life Sciences | 1 | 3 | Female | 42 | 4 | 2 | Nurse | 1 | Married | 5376 | 3193 | 2 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 5 | 3 | 1 | 3 | |
| 1110390 | 35 | No | Travel_Rarely | 464 | Maternity | 4 | 2 | Other | 1 | 3 | Male | 75 | 3 | 1 | Nurse | 4 | Divorced | 1951 | 10910 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1448895 | 27 | No | Travel_Rarely | 1240 | Maternity | 2 | 4 | Life Sciences | 1 | 4 | Female | 33 | 3 | 1 | Nurse | 1 | Divorced | 2341 | 19715 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 1 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1547220 | 26 | Yes | Travel_Rarely | 1357 | Maternity | 25 | 3 | Life Sciences | 1 | 1 | Male | 48 | 1 | 1 | Nurse | 3 | Single | 2293 | 10558 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 2 | 2 | 1 | 0 | 0 | 1 | |
| 1680993 | 27 | No | Travel_Frequently | 994 | Cardiology | 8 | 3 | Life Sciences | 1 | 4 | Male | 37 | 3 | 3 | Nurse | 3 | Single | 8726 | 2975 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 0 | 3 | 9 | 8 | 1 | 7 | |
| 1100187 | 30 | No | Travel_Frequently | 721 | Maternity | 1 | 2 | Medical | 1 | 3 | Female | 58 | 3 | 2 | Nurse | 4 | Single | 4011 | 10781 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 12 | 2 | 3 | 12 | 8 | 3 | 7 | |
| 1881631 | 41 | No | Travel_Rarely | 1360 | Neurology | 12 | 3 | Technical Degree | 1 | 2 | Female | 49 | 3 | 5 | Other | 3 | Married | 19545 | 16280 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 0 | 3 | 22 | 15 | 15 | 8 | |
| 1622068 | 34 | No | Non-Travel | 1065 | Cardiology | 23 | 4 | Marketing | 1 | 2 | Male | 72 | 3 | 2 | Nurse | 3 | Single | 4568 | 10034 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 10 | 2 | 3 | 9 | 5 | 8 | 7 | |
| 1336903 | 37 | No | Travel_Rarely | 408 | Maternity | 19 | 2 | Life Sciences | 1 | 2 | Male | 73 | 3 | 1 | Other | 2 | Married | 3022 | 10227 | 4 | Y | No | 21 | 4 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 | |
| 1126243 | 46 | No | Travel_Frequently | 1211 | Cardiology | 5 | 4 | Marketing | 1 | 1 | Male | 98 | 3 | 2 | Nurse | 4 | Single | 5772 | 20445 | 4 | Y | Yes | 21 | 4 | 3 | 80 | 0 | 14 | 4 | 3 | 9 | 6 | 0 | 8 | |
| 1053707 | 35 | No | Travel_Rarely | 1229 | Maternity | 8 | 1 | Life Sciences | 1 | 4 | Male | 36 | 4 | 1 | Nurse | 4 | Married | 2269 | 4892 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | |
| 1708688 | 48 | Yes | Travel_Rarely | 626 | Maternity | 1 | 2 | Life Sciences | 1 | 1 | Male | 98 | 2 | 3 | Nurse | 3 | Single | 5381 | 19294 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1208582 | 28 | Yes | Travel_Rarely | 1434 | Maternity | 5 | 4 | Technical Degree | 1 | 3 | Male | 50 | 3 | 1 | Nurse | 3 | Single | 3441 | 11179 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | |
| 1127416 | 44 | No | Travel_Rarely | 1488 | Cardiology | 1 | 5 | Marketing | 1 | 2 | Female | 75 | 3 | 2 | Nurse | 1 | Divorced | 5454 | 4009 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 9 | 2 | 2 | 4 | 3 | 1 | 3 | |
| 1710090 | 35 | No | Non-Travel | 1097 | Maternity | 11 | 2 | Medical | 1 | 3 | Male | 79 | 2 | 3 | Nurse | 1 | Married | 9884 | 8302 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 4 | 0 | 2 | 3 | |
| 1146606 | 26 | Yes | Travel_Rarely | 1443 | Cardiology | 23 | 3 | Marketing | 1 | 3 | Female | 47 | 2 | 2 | Nurse | 4 | Married | 4157 | 21436 | 7 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 5 | 2 | 2 | 2 | 2 | 0 | 0 | |
| 1674685 | 33 | No | Travel_Frequently | 515 | Neurology | 1 | 2 | Life Sciences | 1 | 1 | Female | 98 | 3 | 3 | Other | 4 | Single | 13458 | 15146 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 15 | 1 | 3 | 15 | 14 | 8 | 12 | |
| 1477077 | 35 | No | Travel_Frequently | 853 | Cardiology | 18 | 5 | Life Sciences | 1 | 2 | Male | 71 | 3 | 3 | Nurse | 1 | Married | 9069 | 11031 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 9 | 3 | 2 | 9 | 8 | 1 | 8 | |
| 1269275 | 35 | No | Travel_Rarely | 1142 | Maternity | 23 | 4 | Medical | 1 | 3 | Female | 30 | 3 | 1 | Nurse | 1 | Married | 4014 | 16002 | 3 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1620694 | 31 | No | Travel_Rarely | 655 | Maternity | 7 | 4 | Life Sciences | 1 | 4 | Male | 48 | 3 | 2 | Nurse | 4 | Divorced | 5915 | 9528 | 3 | Y | No | 22 | 4 | 4 | 80 | 1 | 10 | 3 | 2 | 7 | 7 | 1 | 7 | |
| 1618486 | 37 | No | Travel_Rarely | 1115 | Neurology | 1 | 4 | Life Sciences | 1 | 1 | Male | 51 | 2 | 2 | Therapist | 3 | Divorced | 5993 | 2689 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 2 | 4 | 7 | 5 | 0 | 7 | |
| 1208054 | 32 | No | Travel_Rarely | 427 | Neurology | 1 | 3 | Medical | 1 | 1 | Male | 33 | 3 | 2 | Therapist | 4 | Married | 6162 | 10877 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 7 | 8 | |
| 1545352 | 38 | No | Travel_Frequently | 653 | Maternity | 29 | 5 | Life Sciences | 1 | 4 | Female | 50 | 3 | 2 | Nurse | 4 | Single | 2406 | 5456 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 3 | 9 | 9 | |
| 1665908 | 50 | No | Travel_Rarely | 989 | Neurology | 7 | 2 | Medical | 1 | 2 | Female | 43 | 2 | 5 | Other | 3 | Divorced | 18740 | 16701 | 5 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 27 | 3 | 13 | 8 | |
| 1312106 | 59 | No | Travel_Rarely | 1435 | Cardiology | 25 | 3 | Life Sciences | 1 | 1 | Female | 99 | 3 | 3 | Nurse | 1 | Single | 7637 | 2354 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 21 | 16 | 7 | 9 | |
| 1391215 | 36 | No | Travel_Rarely | 1223 | Maternity | 8 | 3 | Technical Degree | 1 | 3 | Female | 59 | 3 | 3 | Nurse | 3 | Divorced | 10096 | 8202 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 17 | 2 | 3 | 17 | 14 | 12 | 8 | |
| 1677994 | 55 | No | Travel_Rarely | 836 | Neurology | 8 | 3 | Medical | 1 | 4 | Female | 33 | 3 | 4 | Other | 3 | Divorced | 14756 | 19730 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 21 | 2 | 3 | 5 | 0 | 0 | 2 | |
| 1216003 | 36 | No | Travel_Frequently | 1195 | Maternity | 11 | 3 | Life Sciences | 1 | 2 | Male | 95 | 2 | 2 | Therapist | 2 | Single | 6499 | 22656 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 0 | 3 | |
| 1503437 | 45 | No | Travel_Rarely | 1339 | Maternity | 7 | 3 | Life Sciences | 1 | 2 | Male | 59 | 3 | 3 | Other | 1 | Divorced | 9724 | 18787 | 2 | Y | No | 17 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1381585 | 35 | No | Travel_Frequently | 664 | Maternity | 1 | 3 | Medical | 1 | 2 | Male | 79 | 3 | 1 | Other | 1 | Married | 2194 | 5868 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 1 | 2 | |
| 1312369 | 36 | Yes | Travel_Rarely | 318 | Maternity | 9 | 3 | Medical | 1 | 4 | Male | 79 | 2 | 1 | Other | 3 | Married | 3388 | 21777 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | |
| 1576355 | 59 | No | Travel_Frequently | 1225 | Cardiology | 1 | 1 | Life Sciences | 1 | 1 | Female | 57 | 2 | 2 | Nurse | 3 | Single | 5473 | 24668 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 20 | 2 | 2 | 4 | 3 | 1 | 3 | |
| 1659485 | 29 | No | Travel_Rarely | 1328 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Male | 76 | 3 | 1 | Other | 2 | Married | 2703 | 4956 | 0 | Y | No | 23 | 4 | 4 | 80 | 1 | 6 | 3 | 3 | 5 | 4 | 0 | 4 | |
| 1530200 | 31 | No | Travel_Rarely | 1082 | Maternity | 1 | 4 | Medical | 1 | 3 | Male | 87 | 3 | 1 | Other | 2 | Single | 2501 | 18775 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 1 | 0 | |
| 1773482 | 32 | No | Travel_Rarely | 548 | Maternity | 1 | 3 | Life Sciences | 1 | 2 | Male | 66 | 3 | 2 | Other | 2 | Married | 6220 | 7346 | 1 | Y | No | 17 | 3 | 2 | 80 | 2 | 10 | 3 | 3 | 10 | 4 | 0 | 9 | |
| 1188108 | 36 | No | Travel_Rarely | 132 | Maternity | 6 | 3 | Life Sciences | 1 | 2 | Female | 55 | 4 | 1 | Nurse | 4 | Married | 3038 | 22002 | 3 | Y | No | 12 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1471418 | 31 | No | Travel_Rarely | 746 | Cardiology | 8 | 4 | Life Sciences | 1 | 3 | Female | 61 | 3 | 2 | Therapist | 4 | Single | 4424 | 20682 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 11 | 2 | 3 | 11 | 7 | 1 | 8 | |
| 1081842 | 35 | No | Travel_Rarely | 776 | Cardiology | 1 | 4 | Marketing | 1 | 3 | Male | 32 | 2 | 2 | Nurse | 1 | Single | 4312 | 23016 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 15 | 13 | 2 | 8 | |
| 1146021 | 45 | No | Travel_Rarely | 193 | Neurology | 6 | 4 | Other | 1 | 4 | Male | 52 | 3 | 3 | Other | 1 | Married | 13245 | 15067 | 4 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 17 | 3 | 4 | 0 | 0 | 0 | 0 | |
| 1880248 | 37 | No | Travel_Rarely | 397 | Neurology | 7 | 4 | Medical | 1 | 1 | Male | 30 | 3 | 3 | Other | 3 | Single | 13664 | 25258 | 4 | Y | No | 13 | 3 | 1 | 80 | 0 | 16 | 3 | 4 | 5 | 2 | 0 | 2 | |
| 1267807 | 46 | No | Travel_Rarely | 945 | Neurology | 5 | 2 | Medical | 1 | 2 | Male | 80 | 3 | 2 | Other | 2 | Divorced | 5021 | 10425 | 8 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 16 | 2 | 3 | 4 | 2 | 0 | 2 | |
| 1247348 | 30 | No | Travel_Rarely | 852 | Maternity | 1 | 1 | Life Sciences | 1 | 4 | Male | 55 | 2 | 2 | Nurse | 4 | Married | 5126 | 15998 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 10 | 1 | 2 | 10 | 8 | 3 | 0 | |
| 1886039 | 35 | No | Travel_Rarely | 1214 | Maternity | 1 | 3 | Medical | 1 | 2 | Male | 30 | 2 | 1 | Other | 3 | Single | 2859 | 26278 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 4 | 0 | 4 | |
| 1134060 | 55 | No | Travel_Rarely | 111 | Cardiology | 1 | 2 | Life Sciences | 1 | 1 | Male | 70 | 3 | 3 | Nurse | 4 | Married | 10239 | 18092 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 1 | 0 | 1 | 0 | |
| 1403326 | 38 | No | Non-Travel | 573 | Maternity | 6 | 3 | Medical | 1 | 2 | Female | 79 | 1 | 2 | Other | 4 | Divorced | 5329 | 15717 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 3 | 17 | 3 | 3 | 13 | 11 | 1 | 9 | |
| 1689558 | 34 | No | Travel_Rarely | 1153 | Neurology | 1 | 2 | Medical | 1 | 1 | Male | 94 | 3 | 2 | Therapist | 2 | Married | 4325 | 17736 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 5 | 2 | 3 | 5 | 2 | 1 | 3 | |
| 1122798 | 56 | No | Travel_Rarely | 1400 | Neurology | 7 | 3 | Life Sciences | 1 | 4 | Male | 49 | 1 | 3 | Therapist | 4 | Single | 7260 | 21698 | 4 | Y | No | 11 | 3 | 1 | 80 | 0 | 37 | 3 | 2 | 6 | 4 | 0 | 2 | |
| 1477348 | 23 | No | Travel_Rarely | 541 | Cardiology | 2 | 1 | Technical Degree | 1 | 3 | Male | 62 | 3 | 1 | Other | 1 | Divorced | 2322 | 9518 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1061371 | 51 | No | Travel_Rarely | 432 | Maternity | 9 | 4 | Life Sciences | 1 | 4 | Male | 96 | 3 | 1 | Nurse | 4 | Married | 2075 | 18725 | 3 | Y | No | 23 | 4 | 2 | 80 | 2 | 10 | 4 | 3 | 4 | 2 | 0 | 3 | |
| 1535342 | 30 | No | Travel_Rarely | 288 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Male | 99 | 2 | 2 | Nurse | 4 | Married | 4152 | 15830 | 1 | Y | No | 19 | 3 | 1 | 80 | 3 | 11 | 3 | 3 | 11 | 10 | 10 | 8 | |
| 1386780 | 46 | No | Travel_Rarely | 669 | Cardiology | 9 | 2 | Medical | 1 | 3 | Male | 64 | 2 | 3 | Nurse | 4 | Single | 9619 | 13596 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 8 | 4 | 7 | |
| 1254775 | 40 | No | Travel_Frequently | 530 | Maternity | 1 | 4 | Life Sciences | 1 | 3 | Male | 78 | 2 | 4 | Nurse | 2 | Married | 13503 | 14115 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 22 | 3 | 2 | 22 | 3 | 11 | 11 | |
| 1818921 | 51 | No | Travel_Rarely | 632 | Cardiology | 21 | 4 | Marketing | 1 | 3 | Male | 71 | 3 | 2 | Nurse | 4 | Single | 5441 | 8423 | 0 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 11 | 2 | 1 | 10 | 7 | 1 | 0 | |
| 1848882 | 30 | No | Travel_Rarely | 1334 | Cardiology | 4 | 2 | Medical | 1 | 3 | Female | 63 | 2 | 2 | Nurse | 2 | Divorced | 5209 | 19760 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 3 | 11 | 4 | 2 | 11 | 8 | 2 | 7 | |
| 1537412 | 46 | No | Travel_Frequently | 638 | Maternity | 1 | 3 | Medical | 1 | 3 | Male | 40 | 2 | 3 | Nurse | 1 | Married | 10673 | 3142 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 21 | 5 | 2 | 10 | 9 | 9 | 5 | |
| 1231380 | 32 | No | Travel_Rarely | 1093 | Cardiology | 6 | 4 | Medical | 1 | 2 | Male | 87 | 3 | 2 | Nurse | 3 | Single | 5010 | 24301 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 12 | 0 | 3 | 11 | 8 | 5 | 7 | |
| 1293078 | 54 | No | Travel_Rarely | 1217 | Neurology | 2 | 4 | Technical Degree | 1 | 1 | Female | 60 | 3 | 3 | Other | 3 | Married | 13549 | 24001 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 16 | 5 | 1 | 4 | 3 | 0 | 3 | |
| 1026798 | 24 | No | Travel_Rarely | 1353 | Cardiology | 3 | 2 | Other | 1 | 1 | Female | 33 | 3 | 2 | Nurse | 3 | Married | 4999 | 17519 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 4 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1500402 | 28 | No | Non-Travel | 120 | Cardiology | 4 | 3 | Medical | 1 | 2 | Male | 43 | 3 | 2 | Nurse | 3 | Married | 4221 | 8863 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 5 | 3 | 4 | 5 | 4 | 0 | 4 | |
| 1514098 | 58 | No | Travel_Rarely | 682 | Cardiology | 10 | 4 | Medical | 1 | 4 | Male | 37 | 3 | 4 | Nurse | 3 | Single | 13872 | 24409 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 38 | 1 | 2 | 37 | 10 | 1 | 8 | |
| 1487216 | 44 | No | Non-Travel | 489 | Maternity | 23 | 3 | Medical | 1 | 2 | Male | 67 | 3 | 2 | Nurse | 2 | Married | 2042 | 25043 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 3 | 4 | 3 | 2 | 1 | 2 | |
| 1843825 | 37 | Yes | Travel_Rarely | 807 | Neurology | 6 | 4 | Human Resources | 1 | 3 | Male | 63 | 3 | 1 | Other | 1 | Divorced | 2073 | 23648 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1635251 | 32 | No | Travel_Rarely | 827 | Maternity | 1 | 1 | Life Sciences | 1 | 4 | Male | 71 | 3 | 1 | Other | 1 | Single | 2956 | 15178 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1088304 | 20 | Yes | Travel_Frequently | 871 | Maternity | 6 | 3 | Life Sciences | 1 | 4 | Female | 66 | 2 | 1 | Nurse | 4 | Single | 2926 | 19783 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 0 | |
| 1792856 | 34 | No | Travel_Rarely | 665 | Maternity | 6 | 4 | Other | 1 | 1 | Female | 41 | 3 | 2 | Other | 3 | Single | 4809 | 12482 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 16 | 13 | 2 | 10 | |
| 1787161 | 37 | No | Non-Travel | 1040 | Maternity | 2 | 2 | Life Sciences | 1 | 3 | Male | 100 | 2 | 2 | Nurse | 4 | Divorced | 5163 | 15850 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 17 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1627796 | 59 | No | Non-Travel | 1420 | Neurology | 2 | 4 | Human Resources | 1 | 3 | Female | 32 | 2 | 5 | Administrative | 4 | Married | 18844 | 21922 | 9 | Y | No | 21 | 4 | 4 | 80 | 1 | 30 | 3 | 3 | 3 | 2 | 2 | 2 | |
| 1077558 | 50 | No | Travel_Frequently | 1115 | Neurology | 1 | 3 | Life Sciences | 1 | 1 | Female | 73 | 3 | 5 | Other | 2 | Married | 18172 | 9755 | 3 | Y | Yes | 19 | 3 | 1 | 80 | 0 | 28 | 1 | 2 | 8 | 3 | 0 | 7 | |
| 1410589 | 25 | Yes | Travel_Rarely | 240 | Cardiology | 5 | 3 | Marketing | 1 | 3 | Male | 46 | 2 | 2 | Nurse | 3 | Single | 5744 | 26959 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 1 | 3 | 6 | 4 | 0 | 3 | |
| 1657986 | 25 | No | Travel_Rarely | 1280 | Maternity | 7 | 1 | Medical | 1 | 4 | Male | 64 | 2 | 1 | Other | 4 | Married | 2889 | 26897 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 | |
| 1353326 | 22 | No | Travel_Rarely | 534 | Maternity | 15 | 3 | Medical | 1 | 2 | Female | 59 | 3 | 1 | Nurse | 4 | Single | 2871 | 23785 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 1 | 5 | 3 | 0 | 0 | 0 | 0 | |
| 1523794 | 51 | No | Travel_Frequently | 1456 | Maternity | 1 | 4 | Medical | 1 | 1 | Female | 30 | 2 | 3 | Nurse | 1 | Single | 7484 | 25796 | 3 | Y | No | 20 | 4 | 3 | 80 | 0 | 23 | 1 | 2 | 13 | 12 | 12 | 8 | |
| 1851151 | 34 | Yes | Travel_Frequently | 658 | Maternity | 7 | 3 | Life Sciences | 1 | 1 | Male | 66 | 1 | 2 | Nurse | 3 | Single | 6074 | 22887 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 6 | |
| 1645988 | 54 | No | Non-Travel | 142 | Neurology | 26 | 3 | Human Resources | 1 | 4 | Female | 30 | 4 | 4 | Administrative | 4 | Single | 17328 | 13871 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 23 | 3 | 3 | 5 | 3 | 4 | 4 | |
| 1849283 | 24 | No | Travel_Rarely | 1127 | Maternity | 18 | 1 | Life Sciences | 1 | 2 | Male | 52 | 3 | 1 | Nurse | 3 | Married | 2774 | 13257 | 0 | Y | No | 12 | 3 | 3 | 80 | 1 | 6 | 2 | 3 | 5 | 3 | 1 | 2 | |
| 1073480 | 34 | No | Travel_Rarely | 1031 | Maternity | 6 | 4 | Life Sciences | 1 | 3 | Female | 45 | 2 | 2 | Other | 2 | Divorced | 4505 | 15000 | 6 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1157113 | 37 | No | Travel_Rarely | 1189 | Cardiology | 3 | 3 | Life Sciences | 1 | 3 | Male | 87 | 3 | 3 | Nurse | 4 | Single | 7428 | 14506 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 3 | 3 | 5 | 3 | 1 | 3 | |
| 1130224 | 34 | No | Travel_Rarely | 1354 | Neurology | 5 | 3 | Medical | 1 | 3 | Female | 45 | 2 | 3 | Other | 1 | Single | 11631 | 5615 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 14 | 6 | 3 | 11 | 10 | 5 | 8 | |
| 1427732 | 36 | No | Travel_Frequently | 1467 | Cardiology | 11 | 2 | Technical Degree | 1 | 2 | Female | 92 | 3 | 3 | Nurse | 4 | Married | 9738 | 22952 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 2 | 8 | |
| 1852975 | 36 | No | Travel_Rarely | 922 | Maternity | 3 | 2 | Life Sciences | 1 | 1 | Female | 39 | 3 | 1 | Nurse | 4 | Divorced | 2835 | 2561 | 5 | Y | No | 22 | 4 | 1 | 80 | 1 | 7 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1845017 | 43 | No | Travel_Frequently | 394 | Cardiology | 26 | 2 | Life Sciences | 1 | 3 | Male | 92 | 3 | 4 | Administrative | 4 | Married | 16959 | 19494 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 25 | 3 | 4 | 25 | 12 | 4 | 12 | |
| 1212660 | 30 | No | Travel_Frequently | 1312 | Maternity | 23 | 3 | Life Sciences | 1 | 1 | Male | 96 | 1 | 1 | Other | 3 | Divorced | 2613 | 22310 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 10 | 2 | 2 | 10 | 7 | 0 | 9 | |
| 1264790 | 33 | No | Non-Travel | 750 | Cardiology | 22 | 2 | Marketing | 1 | 3 | Male | 95 | 3 | 2 | Nurse | 2 | Married | 6146 | 15480 | 0 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 4 | 7 | 7 | 0 | 7 | |
| 1515486 | 56 | Yes | Travel_Rarely | 441 | Maternity | 14 | 4 | Life Sciences | 1 | 2 | Female | 72 | 3 | 1 | Other | 2 | Married | 4963 | 4510 | 9 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 7 | 2 | 3 | 5 | 4 | 4 | 3 | |
| 1832980 | 51 | No | Travel_Rarely | 684 | Neurology | 6 | 3 | Life Sciences | 1 | 1 | Male | 51 | 3 | 5 | Other | 3 | Single | 19537 | 6462 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 23 | 5 | 3 | 20 | 18 | 15 | 15 | |
| 1031688 | 31 | Yes | Travel_Rarely | 249 | Cardiology | 6 | 4 | Life Sciences | 1 | 2 | Male | 76 | 1 | 2 | Nurse | 3 | Married | 6172 | 20739 | 4 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 12 | 3 | 2 | 7 | 7 | 7 | 7 | |
| 1433172 | 26 | No | Travel_Rarely | 841 | Maternity | 6 | 3 | Other | 1 | 3 | Female | 46 | 2 | 1 | Other | 2 | Married | 2368 | 23300 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 4 | 4 | 3 | |
| 1607390 | 58 | No | Travel_Rarely | 147 | Maternity | 23 | 4 | Medical | 1 | 4 | Female | 94 | 3 | 3 | Nurse | 4 | Married | 10312 | 3465 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 40 | 3 | 2 | 40 | 10 | 15 | 6 | |
| 1842764 | 19 | Yes | Travel_Rarely | 528 | Cardiology | 22 | 1 | Marketing | 1 | 4 | Male | 50 | 3 | 1 | Other | 3 | Single | 1675 | 26820 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | |
| 1176986 | 22 | No | Travel_Rarely | 594 | Maternity | 2 | 1 | Technical Degree | 1 | 3 | Male | 100 | 3 | 1 | Nurse | 4 | Married | 2523 | 19299 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 1 | 2 | 1 | |
| 1835832 | 49 | No | Travel_Rarely | 470 | Maternity | 20 | 4 | Medical | 1 | 3 | Female | 96 | 3 | 2 | Therapist | 1 | Married | 6567 | 5549 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 2 | 2 | 15 | 11 | 5 | 11 | |
| 1450885 | 43 | No | Travel_Frequently | 957 | Maternity | 28 | 3 | Medical | 1 | 2 | Female | 72 | 4 | 1 | Other | 3 | Single | 4739 | 16090 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1810635 | 50 | No | Travel_Frequently | 809 | Cardiology | 12 | 3 | Marketing | 1 | 3 | Female | 77 | 3 | 3 | Nurse | 4 | Single | 9208 | 6645 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 2 | 2 | 2 | 1 | |
| 1810242 | 31 | Yes | Travel_Rarely | 542 | Cardiology | 20 | 3 | Life Sciences | 1 | 2 | Female | 71 | 1 | 2 | Nurse | 3 | Married | 4559 | 24788 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1148129 | 41 | No | Travel_Rarely | 802 | Cardiology | 9 | 1 | Life Sciences | 1 | 3 | Male | 96 | 3 | 3 | Nurse | 3 | Divorced | 8189 | 21196 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 9 | 7 | 0 | 7 | |
| 1085450 | 26 | No | Travel_Rarely | 1355 | Neurology | 25 | 1 | Life Sciences | 1 | 3 | Female | 61 | 3 | 1 | Other | 3 | Married | 2942 | 8916 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 5 | 7 | |
| 1699939 | 36 | No | Travel_Rarely | 216 | Neurology | 6 | 2 | Medical | 1 | 2 | Male | 84 | 3 | 2 | Therapist | 2 | Divorced | 4941 | 2819 | 6 | Y | No | 20 | 4 | 4 | 80 | 2 | 7 | 0 | 3 | 3 | 2 | 0 | 1 | |
| 1612623 | 51 | Yes | Travel_Frequently | 1150 | Cardiology | 8 | 4 | Life Sciences | 1 | 1 | Male | 53 | 1 | 3 | Therapist | 4 | Single | 10650 | 25150 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 4 | 2 | 0 | 3 | |
| 1069811 | 39 | No | Travel_Rarely | 1329 | Cardiology | 4 | 4 | Life Sciences | 1 | 4 | Female | 47 | 2 | 2 | Nurse | 3 | Married | 5902 | 14590 | 4 | Y | No | 14 | 3 | 3 | 80 | 1 | 17 | 1 | 4 | 15 | 11 | 5 | 9 | |
| 1717795 | 25 | No | Travel_Rarely | 959 | Cardiology | 28 | 3 | Life Sciences | 1 | 1 | Male | 41 | 2 | 2 | Nurse | 3 | Married | 8639 | 24835 | 2 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1341925 | 30 | No | Travel_Rarely | 1240 | Neurology | 9 | 3 | Human Resources | 1 | 3 | Male | 48 | 3 | 2 | Other | 4 | Married | 6347 | 13982 | 0 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 12 | 2 | 1 | 11 | 9 | 4 | 7 | |
| 1113668 | 32 | Yes | Travel_Rarely | 1033 | Maternity | 9 | 3 | Medical | 1 | 1 | Female | 41 | 3 | 1 | Nurse | 1 | Single | 4200 | 10224 | 7 | Y | No | 22 | 4 | 1 | 80 | 0 | 10 | 2 | 4 | 5 | 4 | 0 | 4 | |
| 1164932 | 45 | No | Travel_Rarely | 1316 | Maternity | 29 | 3 | Medical | 1 | 3 | Male | 83 | 3 | 1 | Other | 4 | Single | 3452 | 9752 | 5 | Y | No | 13 | 3 | 2 | 80 | 0 | 9 | 2 | 2 | 6 | 5 | 0 | 3 | |
| 1328110 | 38 | No | Travel_Rarely | 364 | Maternity | 3 | 5 | Technical Degree | 1 | 4 | Female | 32 | 3 | 2 | Other | 3 | Single | 4317 | 2302 | 3 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 19 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1744823 | 30 | No | Travel_Rarely | 438 | Maternity | 18 | 3 | Life Sciences | 1 | 1 | Female | 75 | 3 | 1 | Other | 3 | Single | 2632 | 23910 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 4 | 2 | 5 | 4 | 0 | 4 | |
| 1431031 | 32 | No | Travel_Frequently | 689 | Cardiology | 9 | 2 | Medical | 1 | 4 | Male | 35 | 1 | 2 | Nurse | 4 | Divorced | 4668 | 22812 | 0 | Y | No | 17 | 3 | 4 | 80 | 3 | 9 | 2 | 4 | 8 | 7 | 0 | 7 | |
| 1587864 | 30 | No | Travel_Rarely | 201 | Maternity | 5 | 3 | Technical Degree | 1 | 4 | Female | 84 | 3 | 1 | Other | 1 | Divorced | 3204 | 10415 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 8 | 3 | 3 | 3 | 2 | 2 | 2 | |
| 1577226 | 30 | No | Travel_Rarely | 1427 | Maternity | 2 | 1 | Medical | 1 | 2 | Male | 35 | 2 | 1 | Nurse | 4 | Single | 2720 | 11162 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 3 | 1 | 2 | |
| 1162762 | 41 | No | Travel_Frequently | 857 | Neurology | 10 | 3 | Life Sciences | 1 | 4 | Male | 91 | 2 | 4 | Other | 1 | Divorced | 17181 | 12888 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 21 | 2 | 2 | 7 | 6 | 7 | 7 | |
| 1035340 | 41 | No | Travel_Rarely | 933 | Maternity | 9 | 4 | Life Sciences | 1 | 3 | Male | 94 | 3 | 1 | Nurse | 1 | Married | 2238 | 6961 | 2 | Y | No | 21 | 4 | 4 | 80 | 1 | 7 | 2 | 3 | 5 | 0 | 1 | 4 | |
| 1529493 | 19 | No | Travel_Rarely | 1181 | Maternity | 3 | 1 | Medical | 1 | 2 | Female | 79 | 3 | 1 | Nurse | 2 | Single | 1483 | 16102 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1789511 | 40 | No | Travel_Frequently | 1395 | Maternity | 26 | 3 | Medical | 1 | 2 | Female | 54 | 3 | 2 | Other | 2 | Divorced | 5605 | 8504 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 20 | 2 | 3 | 20 | 7 | 2 | 13 | |
| 1047751 | 35 | No | Travel_Rarely | 662 | Cardiology | 1 | 5 | Marketing | 1 | 3 | Male | 94 | 3 | 3 | Nurse | 2 | Married | 7295 | 11439 | 1 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 8 | 0 | 6 | |
| 1057195 | 53 | No | Travel_Rarely | 1436 | Cardiology | 6 | 2 | Marketing | 1 | 2 | Male | 34 | 3 | 2 | Other | 3 | Married | 2306 | 16047 | 2 | Y | Yes | 20 | 4 | 4 | 80 | 1 | 13 | 3 | 1 | 7 | 7 | 4 | 5 | |
| 1682385 | 45 | No | Travel_Rarely | 194 | Maternity | 9 | 3 | Life Sciences | 1 | 2 | Male | 60 | 3 | 2 | Nurse | 2 | Divorced | 2348 | 10901 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 20 | 2 | 1 | 17 | 9 | 0 | 15 | |
| 1314990 | 32 | No | Travel_Frequently | 967 | Cardiology | 8 | 3 | Marketing | 1 | 2 | Female | 43 | 3 | 3 | Nurse | 4 | Single | 8998 | 15589 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 2 | 3 | 9 | 8 | 3 | 7 | |
| 1157784 | 29 | No | Non-Travel | 1496 | Neurology | 1 | 1 | Technical Degree | 1 | 4 | Male | 41 | 3 | 2 | Therapist | 3 | Married | 4319 | 26283 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 0 | 9 | |
| 1819484 | 51 | No | Travel_Rarely | 1169 | Neurology | 7 | 4 | Medical | 1 | 2 | Male | 34 | 2 | 2 | Therapist | 3 | Married | 6132 | 13983 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1172011 | 58 | No | Travel_Rarely | 1145 | Maternity | 9 | 3 | Medical | 1 | 2 | Female | 75 | 2 | 1 | Other | 2 | Married | 3346 | 11873 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1562685 | 40 | No | Travel_Rarely | 630 | Cardiology | 4 | 4 | Marketing | 1 | 3 | Male | 67 | 2 | 3 | Nurse | 4 | Married | 10855 | 8552 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 15 | 2 | 2 | 12 | 11 | 2 | 11 | |
| 1404919 | 34 | No | Travel_Frequently | 303 | Cardiology | 2 | 4 | Marketing | 1 | 3 | Female | 75 | 3 | 1 | Other | 3 | Married | 2231 | 11314 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 4 | 3 | 1 | 2 | |
| 1751538 | 22 | No | Travel_Rarely | 1256 | Maternity | 19 | 1 | Medical | 1 | 3 | Male | 80 | 3 | 1 | Other | 4 | Married | 2323 | 11992 | 1 | Y | No | 24 | 4 | 1 | 80 | 2 | 2 | 6 | 3 | 2 | 2 | 2 | 2 | |
| 1883822 | 27 | No | Non-Travel | 691 | Maternity | 9 | 3 | Medical | 1 | 4 | Male | 57 | 3 | 1 | Other | 2 | Divorced | 2024 | 5970 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 1 | 1 | 2 | 2 | 2 | 2 | |
| 1460812 | 28 | No | Travel_Rarely | 440 | Maternity | 21 | 3 | Medical | 1 | 3 | Male | 42 | 3 | 1 | Other | 4 | Married | 2713 | 6672 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 2 | |
| 1303708 | 57 | No | Travel_Rarely | 334 | Maternity | 24 | 2 | Life Sciences | 1 | 3 | Male | 83 | 4 | 3 | Nurse | 4 | Divorced | 9439 | 23402 | 3 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 12 | 2 | 1 | 5 | 3 | 1 | 4 | |
| 1224013 | 27 | Yes | Non-Travel | 1450 | Maternity | 3 | 3 | Medical | 1 | 3 | Male | 79 | 2 | 1 | Other | 3 | Divorced | 2566 | 25326 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 1 | |
| 1495862 | 50 | No | Travel_Rarely | 1452 | Neurology | 11 | 3 | Life Sciences | 1 | 3 | Female | 53 | 3 | 5 | Other | 2 | Single | 19926 | 17053 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 21 | 5 | 3 | 5 | 4 | 4 | 4 | |
| 1379450 | 41 | No | Travel_Rarely | 465 | Maternity | 14 | 3 | Life Sciences | 1 | 1 | Male | 56 | 3 | 1 | Other | 3 | Divorced | 2451 | 4609 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 1 | 8 | |
| 1138977 | 30 | No | Travel_Rarely | 1339 | Cardiology | 5 | 3 | Life Sciences | 1 | 2 | Female | 41 | 3 | 3 | Nurse | 4 | Married | 9419 | 8053 | 2 | Y | No | 12 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 7 | 4 | |
| 1726077 | 38 | No | Travel_Rarely | 702 | Cardiology | 1 | 4 | Life Sciences | 1 | 1 | Female | 59 | 2 | 2 | Nurse | 4 | Single | 8686 | 12930 | 4 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 4 | 8 | 3 | 0 | 7 | |
| 1101855 | 32 | No | Travel_Rarely | 120 | Maternity | 6 | 5 | Life Sciences | 1 | 3 | Male | 43 | 3 | 1 | Other | 3 | Single | 3038 | 12430 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 4 | |
| 1715001 | 27 | No | Travel_Rarely | 1157 | Maternity | 17 | 3 | Technical Degree | 1 | 3 | Male | 51 | 3 | 1 | Other | 2 | Married | 3058 | 13364 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 3 | 2 | 5 | 2 | 1 | 1 | |
| 1820041 | 19 | Yes | Travel_Frequently | 602 | Cardiology | 1 | 1 | Technical Degree | 1 | 3 | Female | 100 | 1 | 1 | Other | 1 | Single | 2325 | 20989 | 0 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 4 | 0 | 0 | 0 | 0 | |
| 1540435 | 36 | No | Travel_Frequently | 1480 | Maternity | 3 | 2 | Medical | 1 | 4 | Male | 30 | 3 | 1 | Nurse | 2 | Single | 2088 | 15062 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 13 | 3 | 2 | 8 | 7 | 7 | 2 | |
| 1340085 | 30 | No | Non-Travel | 111 | Maternity | 9 | 3 | Medical | 1 | 3 | Male | 66 | 3 | 2 | Nurse | 1 | Divorced | 3072 | 11012 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 12 | 4 | 3 | 12 | 9 | 6 | 10 | |
| 1319352 | 45 | No | Travel_Rarely | 1268 | Cardiology | 4 | 2 | Life Sciences | 1 | 3 | Female | 30 | 3 | 2 | Nurse | 1 | Divorced | 5006 | 6319 | 4 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 9 | 3 | 4 | 5 | 4 | 0 | 3 | |
| 1722423 | 56 | No | Travel_Rarely | 713 | Maternity | 8 | 3 | Life Sciences | 1 | 3 | Female | 67 | 3 | 1 | Other | 1 | Divorced | 4257 | 13939 | 4 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 19 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1853558 | 33 | No | Travel_Rarely | 134 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Male | 90 | 3 | 1 | Other | 4 | Single | 2500 | 10515 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 2 | 4 | 3 | 1 | 0 | 2 | |
| 1517594 | 19 | Yes | Travel_Rarely | 303 | Maternity | 2 | 3 | Life Sciences | 1 | 2 | Male | 47 | 2 | 1 | Nurse | 4 | Single | 1102 | 9241 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | |
| 1700841 | 46 | No | Travel_Rarely | 526 | Cardiology | 1 | 2 | Marketing | 1 | 2 | Female | 92 | 3 | 3 | Nurse | 1 | Divorced | 10453 | 2137 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 24 | 2 | 3 | 24 | 13 | 15 | 7 | |
| 1665761 | 38 | No | Travel_Rarely | 1380 | Maternity | 9 | 2 | Life Sciences | 1 | 3 | Female | 75 | 3 | 1 | Nurse | 4 | Single | 2288 | 6319 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 1 | |
| 1224843 | 31 | No | Travel_Rarely | 140 | Maternity | 12 | 1 | Medical | 1 | 3 | Female | 95 | 3 | 1 | Other | 4 | Married | 3929 | 6984 | 8 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 7 | 0 | 3 | 4 | 2 | 0 | 2 | |
| 1739412 | 34 | No | Travel_Rarely | 629 | Maternity | 27 | 2 | Medical | 1 | 4 | Female | 95 | 3 | 1 | Other | 2 | Single | 2311 | 5711 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1190255 | 41 | Yes | Travel_Rarely | 1356 | Cardiology | 20 | 2 | Marketing | 1 | 2 | Female | 70 | 3 | 1 | Other | 2 | Single | 3140 | 21728 | 1 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 4 | 5 | 2 | 4 | 3 | 0 | 2 | |
| 1820323 | 50 | No | Travel_Rarely | 328 | Maternity | 1 | 3 | Medical | 1 | 3 | Male | 86 | 2 | 1 | Nurse | 3 | Married | 3690 | 3425 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1477195 | 53 | No | Travel_Rarely | 1084 | Maternity | 13 | 2 | Medical | 1 | 4 | Female | 57 | 4 | 2 | Therapist | 1 | Divorced | 4450 | 26250 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 3 | |
| 1383313 | 33 | No | Travel_Rarely | 931 | Maternity | 14 | 3 | Medical | 1 | 4 | Female | 72 | 3 | 1 | Other | 2 | Married | 2756 | 4673 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 5 | 3 | 8 | 7 | 1 | 6 | |
| 1385477 | 40 | No | Travel_Rarely | 989 | Neurology | 4 | 1 | Medical | 1 | 4 | Female | 46 | 3 | 5 | Other | 3 | Married | 19033 | 6499 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 20 | 8 | 9 | 9 | |
| 1060337 | 55 | No | Travel_Rarely | 692 | Neurology | 14 | 4 | Medical | 1 | 3 | Male | 61 | 4 | 5 | Other | 2 | Single | 18722 | 13339 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 36 | 3 | 3 | 24 | 15 | 2 | 15 | |
| 1180048 | 34 | No | Travel_Frequently | 1069 | Neurology | 2 | 1 | Life Sciences | 1 | 4 | Male | 45 | 2 | 2 | Therapist | 3 | Married | 9547 | 14074 | 1 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 1 | 9 | |
| 1730525 | 51 | No | Travel_Rarely | 313 | Maternity | 3 | 3 | Medical | 1 | 4 | Female | 98 | 3 | 4 | Nurse | 2 | Single | 13734 | 7192 | 3 | Y | No | 18 | 3 | 3 | 80 | 0 | 21 | 6 | 3 | 7 | 7 | 1 | 0 | |
| 1173311 | 52 | No | Travel_Rarely | 699 | Neurology | 1 | 4 | Life Sciences | 1 | 3 | Male | 65 | 2 | 5 | Other | 3 | Married | 19999 | 5678 | 0 | Y | No | 14 | 3 | 1 | 80 | 1 | 34 | 5 | 3 | 33 | 18 | 11 | 9 | |
| 1155351 | 27 | No | Travel_Rarely | 894 | Maternity | 9 | 3 | Medical | 1 | 4 | Female | 99 | 3 | 1 | Other | 2 | Single | 2279 | 11781 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 7 | 7 | 0 | 3 | |
| 1409777 | 35 | Yes | Travel_Rarely | 556 | Maternity | 23 | 2 | Life Sciences | 1 | 2 | Male | 50 | 2 | 2 | Therapist | 3 | Married | 5916 | 15497 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 1 | |
| 1175384 | 43 | No | Non-Travel | 1344 | Maternity | 7 | 3 | Medical | 1 | 4 | Male | 37 | 4 | 1 | Other | 4 | Divorced | 2089 | 5228 | 4 | Y | No | 14 | 3 | 4 | 80 | 3 | 7 | 3 | 4 | 5 | 4 | 2 | 2 | |
| 1447981 | 45 | No | Non-Travel | 1195 | Neurology | 2 | 2 | Medical | 1 | 1 | Male | 65 | 2 | 4 | Other | 4 | Married | 16792 | 20462 | 9 | Y | No | 23 | 4 | 4 | 80 | 1 | 22 | 1 | 3 | 20 | 8 | 11 | 8 | |
| 1643490 | 37 | No | Travel_Rarely | 290 | Maternity | 21 | 3 | Life Sciences | 1 | 2 | Male | 65 | 4 | 1 | Other | 1 | Married | 3564 | 22977 | 1 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 8 | 3 | 2 | 8 | 7 | 1 | 7 | |
| 1132287 | 35 | No | Travel_Frequently | 138 | Maternity | 2 | 3 | Medical | 1 | 2 | Female | 37 | 3 | 2 | Nurse | 2 | Single | 4425 | 15986 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 5 | 3 | 6 | 2 | 1 | 2 | |
| 1238447 | 42 | No | Non-Travel | 926 | Maternity | 21 | 2 | Medical | 1 | 3 | Female | 36 | 3 | 2 | Therapist | 3 | Divorced | 5265 | 16439 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 11 | 5 | 3 | 5 | 3 | 0 | 2 | |
| 1314186 | 38 | No | Travel_Rarely | 1261 | Neurology | 2 | 4 | Life Sciences | 1 | 4 | Male | 88 | 3 | 2 | Therapist | 3 | Married | 6553 | 7259 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 14 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1416095 | 38 | No | Travel_Rarely | 1084 | Maternity | 29 | 3 | Technical Degree | 1 | 4 | Male | 54 | 3 | 2 | Therapist | 4 | Married | 6261 | 4185 | 3 | Y | No | 18 | 3 | 1 | 80 | 1 | 9 | 3 | 1 | 7 | 7 | 1 | 7 | |
| 1572943 | 27 | No | Travel_Frequently | 472 | Neurology | 1 | 1 | Technical Degree | 1 | 3 | Male | 60 | 2 | 2 | Therapist | 1 | Married | 4298 | 9679 | 5 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 1 | 3 | 2 | 2 | 2 | 0 | |
| 1285655 | 49 | No | Non-Travel | 1002 | Maternity | 18 | 4 | Life Sciences | 1 | 4 | Male | 92 | 3 | 2 | Therapist | 4 | Divorced | 6804 | 23793 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 7 | 0 | 3 | 7 | 7 | 1 | 7 | |
| 1620253 | 34 | No | Travel_Frequently | 878 | Maternity | 10 | 4 | Medical | 1 | 4 | Male | 43 | 3 | 1 | Other | 3 | Divorced | 3815 | 5972 | 1 | Y | Yes | 17 | 3 | 4 | 80 | 1 | 5 | 4 | 4 | 5 | 3 | 2 | 0 | |
| 1224749 | 40 | No | Travel_Rarely | 905 | Maternity | 19 | 2 | Medical | 1 | 3 | Male | 99 | 3 | 2 | Nurse | 4 | Married | 2741 | 16523 | 8 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 15 | 2 | 4 | 7 | 2 | 3 | 7 | |
| 1056367 | 38 | Yes | Travel_Rarely | 1180 | Maternity | 29 | 1 | Medical | 1 | 2 | Male | 70 | 3 | 2 | Nurse | 1 | Married | 6673 | 11354 | 7 | Y | Yes | 19 | 3 | 2 | 80 | 0 | 17 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1446715 | 29 | No | Travel_Rarely | 121 | Cardiology | 27 | 3 | Marketing | 1 | 2 | Female | 35 | 3 | 3 | Nurse | 4 | Married | 7639 | 24525 | 1 | Y | No | 22 | 4 | 4 | 80 | 3 | 10 | 3 | 2 | 10 | 4 | 1 | 9 | |
| 1872375 | 22 | No | Travel_Rarely | 1136 | Maternity | 5 | 3 | Life Sciences | 1 | 4 | Male | 60 | 4 | 1 | Other | 2 | Divorced | 2328 | 12392 | 1 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 4 | 2 | 2 | 4 | 2 | 2 | 2 | |
| 1251693 | 36 | No | Travel_Frequently | 635 | Maternity | 18 | 1 | Medical | 1 | 2 | Female | 73 | 3 | 1 | Nurse | 4 | Single | 2153 | 7703 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 1 | 1 | 7 | |
| 1474327 | 40 | No | Non-Travel | 1151 | Maternity | 9 | 5 | Life Sciences | 1 | 4 | Male | 63 | 2 | 2 | Nurse | 4 | Married | 4876 | 14242 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 5 | 1 | 3 | 2 | 0 | 2 | |
| 1721417 | 46 | No | Travel_Rarely | 644 | Maternity | 1 | 4 | Medical | 1 | 4 | Male | 97 | 3 | 3 | Nurse | 1 | Divorced | 9396 | 12368 | 7 | Y | No | 16 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 4 | 2 | 0 | 3 | |
| 1723897 | 32 | No | Travel_Rarely | 1045 | Cardiology | 4 | 4 | Medical | 1 | 4 | Male | 32 | 1 | 3 | Nurse | 4 | Married | 10400 | 25812 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 14 | 2 | 2 | 14 | 8 | 9 | 8 | |
| 1847119 | 30 | No | Non-Travel | 829 | Neurology | 1 | 1 | Life Sciences | 1 | 3 | Male | 88 | 2 | 3 | Therapist | 3 | Single | 8474 | 20925 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 3 | 11 | 8 | 5 | 8 | |
| 1213142 | 27 | No | Travel_Frequently | 1242 | Cardiology | 20 | 3 | Life Sciences | 1 | 4 | Female | 90 | 3 | 2 | Nurse | 3 | Single | 9981 | 12916 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 | |
| 1155192 | 51 | No | Travel_Rarely | 1469 | Neurology | 8 | 4 | Life Sciences | 1 | 2 | Male | 81 | 2 | 3 | Other | 2 | Married | 12490 | 15736 | 5 | Y | No | 16 | 3 | 4 | 80 | 2 | 16 | 5 | 1 | 10 | 9 | 4 | 7 | |
| 1806025 | 30 | Yes | Travel_Rarely | 1005 | Maternity | 3 | 3 | Technical Degree | 1 | 4 | Female | 88 | 3 | 1 | Other | 1 | Single | 2657 | 8556 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 5 | 2 | 0 | 4 | |
| 1296063 | 41 | No | Travel_Rarely | 896 | Cardiology | 6 | 3 | Life Sciences | 1 | 4 | Female | 75 | 3 | 3 | Administrative | 4 | Single | 13591 | 14674 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1502689 | 30 | Yes | Travel_Frequently | 334 | Cardiology | 26 | 4 | Marketing | 1 | 3 | Female | 52 | 2 | 2 | Nurse | 1 | Single | 6696 | 22967 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 5 | 2 | 6 | 3 | 0 | 1 | |
| 1849547 | 29 | No | Travel_Rarely | 992 | Maternity | 1 | 3 | Technical Degree | 1 | 3 | Male | 85 | 3 | 1 | Other | 3 | Single | 2058 | 19757 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 1 | 5 | |
| 1715116 | 45 | No | Non-Travel | 1052 | Cardiology | 6 | 3 | Medical | 1 | 4 | Female | 57 | 2 | 3 | Nurse | 4 | Single | 8865 | 16840 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 19 | 7 | 12 | 8 | |
| 1088447 | 54 | No | Travel_Rarely | 1147 | Cardiology | 3 | 3 | Marketing | 1 | 4 | Female | 52 | 3 | 2 | Nurse | 1 | Married | 5940 | 17011 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 16 | 4 | 3 | 6 | 2 | 0 | 5 | |
| 1408349 | 36 | No | Travel_Rarely | 1396 | Maternity | 5 | 2 | Life Sciences | 1 | 4 | Male | 62 | 3 | 2 | Nurse | 2 | Single | 5914 | 9945 | 8 | Y | No | 16 | 3 | 4 | 80 | 0 | 16 | 3 | 4 | 13 | 11 | 3 | 7 | |
| 1291194 | 33 | No | Travel_Rarely | 147 | Maternity | 4 | 4 | Medical | 1 | 3 | Female | 47 | 2 | 1 | Other | 2 | Married | 2622 | 13248 | 6 | Y | No | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 1 | 1 | |
| 1699240 | 37 | No | Travel_Frequently | 663 | Neurology | 11 | 3 | Other | 1 | 2 | Male | 47 | 3 | 3 | Other | 4 | Divorced | 12185 | 10056 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 10 | 1 | 3 | 10 | 8 | 0 | 7 | |
| 1059303 | 38 | No | Travel_Rarely | 119 | Cardiology | 3 | 3 | Life Sciences | 1 | 1 | Male | 76 | 3 | 3 | Nurse | 3 | Divorced | 10609 | 9647 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 17 | 6 | 2 | 16 | 10 | 5 | 13 | |
| 1530760 | 31 | No | Non-Travel | 979 | Neurology | 1 | 4 | Medical | 1 | 3 | Male | 90 | 1 | 2 | Therapist | 3 | Married | 4345 | 4381 | 0 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 3 | 5 | 4 | 1 | 4 | |
| 1187985 | 59 | No | Travel_Rarely | 142 | Maternity | 3 | 3 | Life Sciences | 1 | 3 | Male | 70 | 2 | 1 | Other | 4 | Married | 2177 | 8456 | 3 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1721312 | 37 | No | Travel_Frequently | 319 | Cardiology | 4 | 4 | Marketing | 1 | 1 | Male | 41 | 3 | 1 | Other | 4 | Divorced | 2793 | 2539 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 5 | 8 | |
| 1129392 | 29 | No | Travel_Frequently | 1413 | Cardiology | 1 | 1 | Medical | 1 | 2 | Female | 42 | 3 | 3 | Nurse | 4 | Married | 7918 | 6599 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 11 | 5 | 3 | 11 | 10 | 4 | 1 | |
| 1278690 | 35 | No | Travel_Frequently | 944 | Cardiology | 1 | 3 | Marketing | 1 | 3 | Female | 92 | 3 | 3 | Nurse | 3 | Single | 8789 | 9096 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 4 | 10 | 7 | 0 | 8 | |
| 1118323 | 29 | Yes | Travel_Rarely | 896 | Maternity | 18 | 1 | Medical | 1 | 3 | Male | 86 | 2 | 1 | Other | 4 | Single | 2389 | 14961 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 4 | 3 | 2 | 4 | 3 | 0 | 1 | |
| 1709918 | 52 | No | Travel_Rarely | 1323 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Female | 89 | 2 | 1 | Nurse | 4 | Single | 3212 | 3300 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 2 | 2 | 2 | 2 | |
| 1470356 | 42 | No | Travel_Rarely | 532 | Neurology | 4 | 2 | Technical Degree | 1 | 3 | Male | 58 | 3 | 5 | Other | 4 | Married | 19232 | 4933 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 22 | 3 | 3 | 22 | 17 | 11 | 15 | |
| 1128374 | 59 | No | Travel_Rarely | 818 | Neurology | 6 | 2 | Medical | 1 | 2 | Male | 52 | 3 | 1 | Other | 3 | Married | 2267 | 25657 | 8 | Y | No | 17 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 2 | 2 | 2 | 2 | |
| 1508741 | 50 | No | Travel_Rarely | 854 | Cardiology | 1 | 4 | Medical | 1 | 4 | Female | 68 | 3 | 5 | Administrative | 4 | Divorced | 19517 | 24118 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 7 | 0 | 0 | 6 | |
| 1598911 | 33 | Yes | Travel_Rarely | 813 | Maternity | 14 | 3 | Medical | 1 | 3 | Male | 58 | 3 | 1 | Nurse | 4 | Married | 2436 | 22149 | 5 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 8 | 2 | 1 | 5 | 4 | 0 | 4 | |
| 1177110 | 43 | No | Travel_Rarely | 1034 | Cardiology | 16 | 3 | Marketing | 1 | 4 | Female | 80 | 3 | 4 | Administrative | 4 | Married | 16064 | 7744 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 17 | 13 | 1 | 9 | |
| 1484656 | 33 | Yes | Travel_Rarely | 465 | Maternity | 2 | 2 | Life Sciences | 1 | 1 | Female | 39 | 3 | 1 | Nurse | 1 | Married | 2707 | 21509 | 7 | Y | No | 20 | 4 | 1 | 80 | 0 | 13 | 3 | 4 | 9 | 7 | 1 | 7 | |
| 1693414 | 52 | No | Non-Travel | 771 | Cardiology | 2 | 4 | Life Sciences | 1 | 1 | Male | 79 | 2 | 5 | Administrative | 3 | Single | 19068 | 21030 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 33 | 2 | 4 | 33 | 7 | 15 | 12 | |
| 1806233 | 32 | No | Travel_Rarely | 1401 | Cardiology | 4 | 2 | Life Sciences | 1 | 3 | Female | 56 | 3 | 1 | Other | 2 | Married | 3931 | 20990 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 6 | 5 | 3 | 4 | 3 | 1 | 2 | |
| 1127107 | 32 | Yes | Travel_Rarely | 515 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 62 | 2 | 1 | Nurse | 3 | Single | 3730 | 9571 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 2 | 1 | 3 | 2 | 1 | 2 | |
| 1548210 | 39 | No | Travel_Rarely | 1431 | Maternity | 1 | 4 | Medical | 1 | 3 | Female | 96 | 3 | 1 | Nurse | 3 | Divorced | 2232 | 15417 | 7 | Y | No | 14 | 3 | 3 | 80 | 3 | 7 | 1 | 3 | 3 | 2 | 1 | 2 | |
| 1857248 | 32 | No | Non-Travel | 976 | Cardiology | 26 | 4 | Marketing | 1 | 3 | Male | 100 | 3 | 2 | Nurse | 4 | Married | 4465 | 12069 | 0 | Y | No | 18 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1491722 | 41 | No | Travel_Rarely | 1411 | Maternity | 19 | 2 | Life Sciences | 1 | 3 | Male | 36 | 3 | 2 | Other | 1 | Divorced | 3072 | 19877 | 2 | Y | No | 16 | 3 | 1 | 80 | 2 | 17 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1548175 | 40 | No | Travel_Rarely | 1300 | Maternity | 24 | 2 | Technical Degree | 1 | 1 | Male | 62 | 3 | 2 | Other | 4 | Divorced | 3319 | 24447 | 1 | Y | No | 17 | 3 | 1 | 80 | 2 | 9 | 3 | 3 | 9 | 8 | 4 | 7 | |
| 1197716 | 45 | No | Travel_Rarely | 252 | Neurology | 1 | 3 | Other | 1 | 3 | Male | 70 | 4 | 5 | Other | 4 | Married | 19202 | 15970 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 24 | 0 | 1 | 7 | |
| 1275604 | 31 | No | Travel_Frequently | 1327 | Neurology | 3 | 4 | Medical | 1 | 2 | Male | 73 | 3 | 3 | Other | 3 | Divorced | 13675 | 13523 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1632856 | 33 | No | Travel_Rarely | 832 | Maternity | 5 | 4 | Life Sciences | 1 | 3 | Female | 63 | 2 | 1 | Other | 4 | Married | 2911 | 14776 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 2 | 2 | 2 | 2 | 2 | 0 | 2 | |
| 1874724 | 34 | No | Travel_Rarely | 470 | Neurology | 2 | 4 | Life Sciences | 1 | 4 | Male | 84 | 2 | 2 | Therapist | 1 | Married | 5957 | 23687 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 11 | 9 | 5 | 9 | |
| 1133458 | 37 | No | Travel_Rarely | 1017 | Maternity | 1 | 2 | Medical | 1 | 3 | Female | 83 | 2 | 1 | Other | 1 | Married | 3920 | 18697 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 3 | 1 | 0 | 2 | |
| 1213490 | 45 | No | Travel_Frequently | 1199 | Neurology | 7 | 4 | Life Sciences | 1 | 1 | Male | 77 | 4 | 2 | Therapist | 3 | Married | 6434 | 5118 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 9 | 1 | 3 | 3 | 2 | 0 | 2 | |
| 1440072 | 37 | No | Travel_Frequently | 504 | Maternity | 10 | 3 | Medical | 1 | 1 | Male | 61 | 3 | 3 | Therapist | 3 | Divorced | 10048 | 22573 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 17 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1492815 | 39 | No | Travel_Frequently | 505 | Maternity | 2 | 4 | Technical Degree | 1 | 3 | Female | 64 | 3 | 3 | Nurse | 3 | Single | 10938 | 6420 | 0 | Y | No | 25 | 4 | 4 | 80 | 0 | 20 | 1 | 3 | 19 | 6 | 11 | 8 | |
| 1322829 | 29 | No | Travel_Rarely | 665 | Maternity | 15 | 3 | Life Sciences | 1 | 3 | Male | 60 | 3 | 1 | Other | 4 | Single | 2340 | 22673 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 6 | 1 | 3 | 6 | 5 | 1 | 5 | |
| 1453272 | 42 | No | Travel_Rarely | 916 | Maternity | 17 | 2 | Life Sciences | 1 | 4 | Female | 82 | 4 | 2 | Other | 1 | Single | 6545 | 23016 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 1 | 3 | 3 | 2 | 0 | 2 | |
| 1234458 | 29 | No | Travel_Rarely | 1247 | Cardiology | 20 | 2 | Marketing | 1 | 4 | Male | 45 | 3 | 2 | Nurse | 4 | Divorced | 6931 | 10732 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1336242 | 25 | No | Travel_Rarely | 685 | Neurology | 1 | 3 | Life Sciences | 1 | 1 | Female | 62 | 3 | 2 | Therapist | 3 | Married | 4898 | 7505 | 0 | Y | No | 12 | 3 | 4 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 2 | |
| 1068917 | 42 | No | Travel_Rarely | 269 | Maternity | 2 | 3 | Medical | 1 | 4 | Female | 56 | 2 | 1 | Nurse | 1 | Divorced | 2593 | 8007 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 10 | 4 | 3 | 9 | 6 | 7 | 8 | |
| 1804073 | 40 | No | Travel_Rarely | 1416 | Neurology | 2 | 2 | Medical | 1 | 1 | Male | 49 | 3 | 5 | Other | 3 | Divorced | 19436 | 5949 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 22 | 5 | 3 | 21 | 7 | 3 | 9 | |
| 1435995 | 51 | No | Travel_Rarely | 833 | Maternity | 1 | 3 | Life Sciences | 1 | 3 | Male | 96 | 3 | 1 | Other | 4 | Married | 2723 | 23231 | 1 | Y | No | 11 | 3 | 2 | 80 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | |
| 1577501 | 31 | No | Travel_Frequently | 307 | Maternity | 29 | 2 | Medical | 1 | 3 | Male | 71 | 2 | 1 | Nurse | 2 | Single | 3479 | 11652 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 | |
| 1075035 | 32 | No | Travel_Frequently | 1311 | Maternity | 7 | 3 | Life Sciences | 1 | 2 | Male | 100 | 4 | 1 | Nurse | 2 | Married | 2794 | 26062 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 1 | 5 | 1 | 0 | 3 | |
| 1520532 | 38 | No | Non-Travel | 1327 | Cardiology | 2 | 2 | Life Sciences | 1 | 4 | Male | 39 | 2 | 2 | Nurse | 4 | Married | 5249 | 19682 | 3 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 0 | 3 | 8 | 7 | 7 | 5 | |
| 1593179 | 32 | No | Travel_Rarely | 128 | Maternity | 2 | 1 | Technical Degree | 1 | 4 | Male | 84 | 2 | 2 | Nurse | 1 | Single | 2176 | 19737 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 3 | 6 | 2 | 0 | 4 | |
| 1244300 | 46 | No | Travel_Rarely | 488 | Cardiology | 2 | 3 | Technical Degree | 1 | 3 | Female | 75 | 1 | 4 | Administrative | 2 | Married | 16872 | 14977 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 28 | 2 | 2 | 7 | 7 | 7 | 7 | |
| 1622255 | 28 | Yes | Travel_Rarely | 529 | Maternity | 2 | 4 | Life Sciences | 1 | 1 | Male | 79 | 3 | 1 | Nurse | 3 | Single | 3485 | 14935 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0 | |
| 1662066 | 29 | No | Travel_Rarely | 1210 | Cardiology | 2 | 3 | Medical | 1 | 1 | Male | 78 | 2 | 2 | Nurse | 2 | Married | 6644 | 3687 | 2 | Y | No | 19 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1247928 | 31 | No | Travel_Rarely | 1463 | Maternity | 23 | 3 | Medical | 1 | 2 | Male | 64 | 2 | 2 | Nurse | 4 | Married | 5582 | 14408 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 10 | 2 | 3 | 9 | 0 | 7 | 8 | |
| 1087213 | 25 | No | Non-Travel | 675 | Maternity | 5 | 2 | Life Sciences | 1 | 2 | Male | 85 | 4 | 2 | Nurse | 1 | Divorced | 4000 | 18384 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 2 | 3 | 6 | 3 | 1 | 5 | |
| 1269016 | 45 | No | Travel_Rarely | 1385 | Maternity | 20 | 2 | Medical | 1 | 3 | Male | 79 | 3 | 4 | Nurse | 4 | Married | 13496 | 7501 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 21 | 2 | 3 | 20 | 7 | 4 | 10 | |
| 1416436 | 36 | No | Travel_Rarely | 1403 | Maternity | 6 | 3 | Life Sciences | 1 | 4 | Male | 47 | 3 | 1 | Nurse | 4 | Married | 3210 | 20251 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 4 | 3 | 15 | 13 | 10 | 11 | |
| 1124764 | 55 | No | Travel_Rarely | 452 | Neurology | 1 | 3 | Medical | 1 | 4 | Male | 81 | 3 | 5 | Other | 1 | Single | 19045 | 18938 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 37 | 2 | 3 | 36 | 10 | 4 | 13 | |
| 1524494 | 47 | Yes | Non-Travel | 666 | Neurology | 29 | 4 | Life Sciences | 1 | 1 | Male | 88 | 3 | 3 | Other | 2 | Married | 11849 | 10268 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 9 | 9 | |
| 1376531 | 28 | No | Travel_Rarely | 1158 | Maternity | 9 | 3 | Medical | 1 | 4 | Male | 94 | 3 | 1 | Other | 4 | Married | 2070 | 2613 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 5 | 3 | 2 | 5 | 2 | 0 | 4 | |
| 1487080 | 37 | No | Travel_Rarely | 228 | Cardiology | 6 | 4 | Medical | 1 | 3 | Male | 98 | 3 | 2 | Nurse | 4 | Married | 6502 | 22825 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 7 | 5 | 4 | 5 | 4 | 0 | 1 | |
| 1836214 | 21 | No | Travel_Rarely | 996 | Maternity | 3 | 2 | Medical | 1 | 4 | Male | 100 | 2 | 1 | Other | 3 | Single | 3230 | 10531 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 3 | 4 | 4 | 3 | 2 | 1 | 0 | |
| 1397780 | 37 | No | Non-Travel | 728 | Neurology | 1 | 4 | Medical | 1 | 1 | Female | 80 | 3 | 3 | Other | 4 | Divorced | 13603 | 11677 | 2 | Y | Yes | 18 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 5 | 2 | 0 | 2 | |
| 1281199 | 35 | No | Travel_Rarely | 1315 | Neurology | 22 | 3 | Life Sciences | 1 | 2 | Female | 71 | 4 | 3 | Other | 2 | Divorced | 11996 | 19100 | 7 | Y | No | 18 | 3 | 2 | 80 | 1 | 10 | 6 | 2 | 7 | 7 | 6 | 2 | |
| 1566712 | 38 | No | Travel_Rarely | 322 | Cardiology | 7 | 2 | Medical | 1 | 1 | Female | 44 | 4 | 2 | Nurse | 1 | Divorced | 5605 | 19191 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 8 | 3 | 3 | 8 | 0 | 7 | 7 | |
| 1256655 | 26 | No | Travel_Frequently | 1479 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Female | 84 | 3 | 2 | Therapist | 2 | Divorced | 6397 | 26767 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 6 | 6 | 1 | 6 | 5 | 1 | 4 | |
| 1187620 | 50 | No | Travel_Rarely | 797 | Neurology | 4 | 1 | Life Sciences | 1 | 1 | Male | 96 | 3 | 5 | Other | 2 | Divorced | 19144 | 15815 | 3 | Y | No | 14 | 3 | 1 | 80 | 2 | 28 | 4 | 2 | 10 | 4 | 1 | 6 | |
| 1032001 | 53 | No | Travel_Rarely | 1070 | Neurology | 3 | 4 | Medical | 1 | 3 | Male | 45 | 3 | 4 | Other | 3 | Married | 17584 | 21016 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 3 | 21 | 5 | 2 | 5 | 3 | 1 | 3 | |
| 1220520 | 42 | No | Travel_Rarely | 635 | Cardiology | 1 | 1 | Life Sciences | 1 | 2 | Male | 99 | 3 | 2 | Nurse | 3 | Married | 4907 | 24532 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 20 | 3 | 3 | 20 | 16 | 11 | 6 | |
| 1524207 | 29 | No | Travel_Frequently | 442 | Cardiology | 2 | 2 | Life Sciences | 1 | 2 | Male | 44 | 3 | 2 | Nurse | 4 | Single | 4554 | 20260 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 7 | 0 | 9 | |
| 1552398 | 55 | No | Travel_Rarely | 147 | Maternity | 20 | 2 | Technical Degree | 1 | 2 | Male | 37 | 3 | 2 | Nurse | 4 | Married | 5415 | 15972 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 12 | 4 | 3 | 10 | 7 | 0 | 8 | |
| 1753629 | 26 | No | Travel_Frequently | 496 | Maternity | 11 | 2 | Medical | 1 | 1 | Male | 60 | 3 | 2 | Nurse | 1 | Married | 4741 | 22722 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 5 | 3 | 3 | 3 | |
| 1649314 | 37 | No | Travel_Rarely | 1372 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Female | 42 | 3 | 1 | Other | 4 | Single | 2115 | 15881 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 12 | 5 | 7 | |
| 1353021 | 44 | Yes | Travel_Frequently | 920 | Maternity | 24 | 3 | Life Sciences | 1 | 4 | Male | 43 | 3 | 1 | Nurse | 3 | Divorced | 3161 | 19920 | 3 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 19 | 0 | 1 | 1 | 0 | 0 | 0 | |
| 1704408 | 38 | No | Travel_Rarely | 688 | Maternity | 23 | 4 | Life Sciences | 1 | 4 | Male | 82 | 3 | 2 | Nurse | 4 | Divorced | 5745 | 18899 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 2 | 2 | 1 | 2 | |
| 1031524 | 26 | Yes | Travel_Rarely | 1449 | Maternity | 16 | 4 | Medical | 1 | 1 | Male | 45 | 3 | 1 | Nurse | 2 | Divorced | 2373 | 14180 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1124932 | 28 | No | Travel_Rarely | 1117 | Maternity | 8 | 2 | Life Sciences | 1 | 4 | Female | 66 | 3 | 1 | Other | 4 | Single | 3310 | 4488 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 2 | |
| 1865139 | 49 | No | Travel_Frequently | 636 | Neurology | 10 | 4 | Life Sciences | 1 | 3 | Female | 35 | 3 | 5 | Other | 1 | Single | 18665 | 25594 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 22 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1158764 | 36 | No | Travel_Rarely | 506 | Maternity | 3 | 3 | Technical Degree | 1 | 3 | Male | 30 | 3 | 2 | Other | 2 | Single | 4485 | 26285 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 0 | 7 | 7 | |
| 1794901 | 31 | No | Travel_Frequently | 444 | Cardiology | 5 | 3 | Marketing | 1 | 4 | Female | 84 | 3 | 1 | Other | 2 | Divorced | 2789 | 3909 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 | |
| 1707521 | 26 | Yes | Travel_Rarely | 950 | Cardiology | 4 | 4 | Marketing | 1 | 4 | Male | 48 | 2 | 2 | Nurse | 4 | Single | 5828 | 8450 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 4 | |
| 1628660 | 37 | No | Travel_Frequently | 889 | Maternity | 9 | 3 | Medical | 1 | 2 | Male | 53 | 3 | 1 | Other | 4 | Married | 2326 | 11411 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 4 | 3 | 2 | 4 | 2 | 1 | 2 | |
| 1099592 | 42 | No | Travel_Frequently | 555 | Cardiology | 26 | 3 | Marketing | 1 | 3 | Female | 77 | 3 | 4 | Nurse | 2 | Married | 13525 | 14864 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 20 | 4 | 4 | 8 | |
| 1837825 | 18 | No | Travel_Rarely | 230 | Maternity | 3 | 3 | Life Sciences | 1 | 3 | Male | 54 | 3 | 1 | Nurse | 3 | Single | 1420 | 25233 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1284393 | 35 | No | Travel_Rarely | 1232 | Cardiology | 16 | 3 | Marketing | 1 | 3 | Male | 96 | 3 | 3 | Nurse | 2 | Married | 8020 | 5100 | 0 | Y | No | 15 | 3 | 3 | 80 | 2 | 12 | 3 | 2 | 11 | 9 | 6 | 9 | |
| 1720804 | 36 | No | Travel_Frequently | 566 | Maternity | 18 | 4 | Life Sciences | 1 | 3 | Male | 81 | 4 | 1 | Nurse | 4 | Married | 3688 | 7122 | 4 | Y | No | 18 | 3 | 4 | 80 | 2 | 4 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1749725 | 51 | No | Travel_Rarely | 1302 | Neurology | 2 | 3 | Medical | 1 | 4 | Male | 84 | 1 | 2 | Therapist | 2 | Divorced | 5482 | 16321 | 5 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 3 | 3 | 4 | 1 | 1 | 2 | |
| 1460737 | 41 | No | Travel_Rarely | 334 | Cardiology | 2 | 4 | Life Sciences | 1 | 4 | Male | 88 | 3 | 4 | Administrative | 2 | Single | 16015 | 15896 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 22 | 2 | 3 | 22 | 10 | 0 | 4 | |
| 1464566 | 18 | Yes | Travel_Rarely | 812 | Cardiology | 10 | 3 | Medical | 1 | 4 | Female | 69 | 2 | 1 | Other | 3 | Single | 1200 | 9724 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1608953 | 28 | No | Travel_Rarely | 1476 | Maternity | 16 | 2 | Medical | 1 | 2 | Male | 68 | 4 | 2 | Nurse | 1 | Single | 5661 | 4824 | 0 | Y | No | 19 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 8 | 3 | 0 | 7 | |
| 1162080 | 31 | No | Travel_Rarely | 218 | Cardiology | 7 | 3 | Technical Degree | 1 | 2 | Male | 100 | 4 | 2 | Nurse | 4 | Married | 6929 | 12241 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 8 | 7 | 7 | 7 | |
| 1317347 | 39 | No | Travel_Rarely | 1132 | Maternity | 1 | 3 | Medical | 1 | 3 | Male | 48 | 4 | 3 | Nurse | 4 | Divorced | 9613 | 10942 | 0 | Y | No | 17 | 3 | 1 | 80 | 3 | 19 | 5 | 2 | 18 | 10 | 3 | 7 | |
| 1712914 | 36 | No | Non-Travel | 1105 | Maternity | 24 | 4 | Life Sciences | 1 | 2 | Female | 47 | 3 | 2 | Nurse | 2 | Married | 5674 | 6927 | 7 | Y | No | 15 | 3 | 3 | 80 | 1 | 11 | 3 | 3 | 9 | 8 | 0 | 8 | |
| 1672940 | 32 | No | Travel_Rarely | 906 | Cardiology | 7 | 3 | Life Sciences | 1 | 4 | Male | 91 | 2 | 2 | Nurse | 3 | Married | 5484 | 16985 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 13 | 8 | 4 | 8 | |
| 1535275 | 38 | No | Travel_Rarely | 849 | Maternity | 25 | 2 | Life Sciences | 1 | 1 | Female | 81 | 2 | 3 | Administrative | 2 | Married | 12061 | 26707 | 3 | Y | No | 17 | 3 | 3 | 80 | 1 | 19 | 2 | 3 | 10 | 8 | 0 | 1 | |
| 1505031 | 58 | No | Non-Travel | 390 | Maternity | 1 | 4 | Life Sciences | 1 | 4 | Male | 32 | 1 | 2 | Nurse | 3 | Divorced | 5660 | 17056 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 12 | 2 | 3 | 5 | 3 | 1 | 2 | |
| 1546688 | 31 | No | Travel_Rarely | 691 | Maternity | 5 | 4 | Technical Degree | 1 | 3 | Male | 86 | 3 | 1 | Other | 4 | Married | 4821 | 10077 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 6 | 4 | 3 | 5 | 2 | 0 | 3 | |
| 1578970 | 31 | No | Travel_Rarely | 106 | Neurology | 2 | 3 | Human Resources | 1 | 1 | Male | 62 | 2 | 2 | Other | 1 | Married | 6410 | 17822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 1 | 3 | 2 | 2 | 1 | 0 | |
| 1304896 | 45 | No | Travel_Frequently | 1249 | Maternity | 7 | 3 | Life Sciences | 1 | 1 | Male | 97 | 3 | 3 | Nurse | 1 | Divorced | 5210 | 20308 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 24 | 2 | 3 | 24 | 9 | 9 | 11 | |
| 1685562 | 31 | No | Travel_Rarely | 192 | Maternity | 2 | 4 | Life Sciences | 1 | 3 | Male | 32 | 3 | 1 | Other | 4 | Divorced | 2695 | 7747 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 3 | 2 | 1 | 2 | 2 | 2 | 2 | |
| 1172739 | 33 | No | Travel_Frequently | 553 | Neurology | 5 | 4 | Life Sciences | 1 | 4 | Female | 74 | 3 | 3 | Other | 2 | Married | 11878 | 23364 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 12 | 2 | 3 | 10 | 6 | 8 | 8 | |
| 1536502 | 39 | No | Travel_Rarely | 117 | Neurology | 10 | 1 | Medical | 1 | 3 | Male | 99 | 3 | 4 | Other | 1 | Married | 17068 | 5355 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 21 | 3 | 3 | 21 | 9 | 11 | 10 | |
| 1837585 | 43 | No | Travel_Frequently | 185 | Maternity | 10 | 4 | Life Sciences | 1 | 3 | Female | 33 | 3 | 1 | Nurse | 4 | Single | 2455 | 10675 | 0 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 5 | 3 | 8 | 7 | 1 | 7 | |
| 1230043 | 49 | No | Travel_Rarely | 1091 | Maternity | 1 | 2 | Technical Degree | 1 | 3 | Female | 90 | 2 | 4 | Nurse | 3 | Single | 13964 | 17810 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 25 | 2 | 3 | 7 | 1 | 0 | 7 | |
| 1202360 | 52 | No | Travel_Rarely | 723 | Maternity | 8 | 4 | Medical | 1 | 3 | Male | 85 | 2 | 2 | Other | 2 | Married | 4941 | 17747 | 2 | Y | No | 15 | 3 | 1 | 80 | 0 | 11 | 3 | 2 | 8 | 2 | 7 | 7 | |
| 1680149 | 27 | No | Travel_Rarely | 1220 | Maternity | 5 | 3 | Life Sciences | 1 | 3 | Female | 85 | 3 | 1 | Other | 2 | Single | 2478 | 20938 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 | |
| 1696143 | 32 | No | Travel_Rarely | 588 | Cardiology | 8 | 2 | Technical Degree | 1 | 3 | Female | 65 | 2 | 2 | Nurse | 2 | Married | 5228 | 24624 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 13 | 12 | 11 | 9 | |
| 1773686 | 27 | No | Travel_Rarely | 1377 | Cardiology | 2 | 3 | Life Sciences | 1 | 4 | Male | 74 | 3 | 2 | Nurse | 3 | Single | 4478 | 5242 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 4 | |
| 1625490 | 31 | No | Travel_Rarely | 691 | Cardiology | 7 | 3 | Marketing | 1 | 4 | Male | 73 | 3 | 2 | Nurse | 4 | Divorced | 7547 | 7143 | 4 | Y | No | 12 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 7 | 7 | 1 | 7 | |
| 1038656 | 32 | No | Travel_Rarely | 1018 | Maternity | 2 | 4 | Medical | 1 | 1 | Female | 74 | 4 | 2 | Other | 4 | Single | 5055 | 10557 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 0 | 2 | 7 | 7 | 0 | 7 | |
| 1323864 | 28 | Yes | Travel_Rarely | 1157 | Maternity | 2 | 4 | Medical | 1 | 1 | Male | 84 | 1 | 1 | Other | 4 | Married | 3464 | 24737 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 5 | 4 | 2 | 3 | 2 | 2 | 2 | |
| 1222187 | 30 | No | Travel_Rarely | 1275 | Maternity | 28 | 2 | Medical | 1 | 4 | Female | 64 | 3 | 2 | Other | 4 | Married | 5775 | 11934 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 11 | 2 | 3 | 10 | 8 | 1 | 9 | |
| 1452875 | 31 | No | Travel_Frequently | 798 | Neurology | 7 | 2 | Life Sciences | 1 | 3 | Female | 48 | 2 | 3 | Therapist | 3 | Married | 8943 | 14034 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 9 | 8 | 9 | |
| 1375684 | 39 | No | Travel_Frequently | 672 | Neurology | 7 | 2 | Medical | 1 | 3 | Male | 54 | 2 | 5 | Other | 4 | Married | 19272 | 21141 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 21 | 2 | 3 | 21 | 9 | 13 | 3 | |
| 1864653 | 39 | Yes | Travel_Rarely | 1162 | Cardiology | 3 | 2 | Medical | 1 | 4 | Female | 41 | 3 | 2 | Nurse | 3 | Married | 5238 | 17778 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 12 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1810061 | 33 | No | Travel_Frequently | 508 | Cardiology | 10 | 3 | Marketing | 1 | 2 | Male | 46 | 2 | 2 | Nurse | 4 | Single | 4682 | 4317 | 3 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 6 | 2 | 7 | 7 | 0 | 1 | |
| 1857574 | 47 | No | Travel_Rarely | 1482 | Maternity | 5 | 5 | Life Sciences | 1 | 4 | Male | 42 | 3 | 5 | Administrative | 3 | Married | 18300 | 16375 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 3 | 2 | 1 | 1 | |
| 1342581 | 43 | No | Travel_Frequently | 559 | Maternity | 10 | 4 | Life Sciences | 1 | 3 | Female | 82 | 2 | 2 | Nurse | 3 | Divorced | 5257 | 6227 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 9 | 7 | 0 | 0 | |
| 1863408 | 27 | No | Non-Travel | 210 | Cardiology | 1 | 1 | Marketing | 1 | 3 | Male | 73 | 3 | 2 | Nurse | 2 | Married | 6349 | 22107 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 0 | 3 | 5 | 4 | 1 | 4 | |
| 1028630 | 54 | No | Travel_Frequently | 928 | Maternity | 20 | 4 | Life Sciences | 1 | 4 | Female | 31 | 3 | 2 | Other | 3 | Single | 4869 | 16885 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 4 | 2 | 4 | 3 | 0 | 3 | |
| 1416430 | 43 | No | Travel_Rarely | 1001 | Maternity | 7 | 3 | Life Sciences | 1 | 3 | Female | 43 | 3 | 3 | Nurse | 1 | Married | 9985 | 9262 | 8 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 1 | 2 | 1 | 0 | 0 | 0 | |
| 1139398 | 45 | No | Travel_Rarely | 549 | Maternity | 8 | 4 | Other | 1 | 4 | Male | 75 | 3 | 2 | Other | 4 | Married | 3697 | 9278 | 9 | Y | No | 14 | 3 | 1 | 80 | 2 | 12 | 3 | 3 | 10 | 9 | 9 | 8 | |
| 1267133 | 40 | No | Travel_Rarely | 1124 | Cardiology | 1 | 2 | Medical | 1 | 2 | Male | 57 | 1 | 2 | Nurse | 4 | Married | 7457 | 13273 | 2 | Y | Yes | 22 | 4 | 3 | 80 | 3 | 6 | 2 | 2 | 4 | 3 | 0 | 2 | |
| 1701544 | 29 | Yes | Travel_Rarely | 318 | Maternity | 8 | 4 | Other | 1 | 2 | Male | 77 | 1 | 1 | Nurse | 1 | Married | 2119 | 4759 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 7 | 4 | 2 | 7 | 7 | 0 | 7 | |
| 1574346 | 29 | No | Travel_Rarely | 738 | Maternity | 9 | 5 | Other | 1 | 2 | Male | 30 | 2 | 1 | Nurse | 4 | Single | 3983 | 7621 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1446564 | 30 | No | Travel_Rarely | 570 | Cardiology | 5 | 3 | Marketing | 1 | 4 | Female | 30 | 2 | 2 | Nurse | 3 | Divorced | 6118 | 5431 | 1 | Y | No | 13 | 3 | 3 | 80 | 3 | 10 | 2 | 3 | 10 | 9 | 1 | 2 | |
| 1646930 | 27 | No | Travel_Rarely | 1130 | Cardiology | 8 | 4 | Marketing | 1 | 2 | Female | 56 | 3 | 2 | Nurse | 2 | Married | 6214 | 3415 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 0 | 7 | |
| 1514947 | 37 | No | Travel_Rarely | 1192 | Neurology | 5 | 2 | Medical | 1 | 4 | Male | 61 | 3 | 2 | Therapist | 4 | Divorced | 6347 | 23177 | 7 | Y | No | 16 | 3 | 3 | 80 | 2 | 8 | 2 | 2 | 6 | 2 | 0 | 4 | |
| 1650545 | 38 | No | Travel_Rarely | 343 | Maternity | 15 | 2 | Life Sciences | 1 | 3 | Male | 92 | 2 | 3 | Administrative | 4 | Divorced | 11510 | 15682 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 10 | 2 | 9 | |
| 1549614 | 31 | No | Travel_Rarely | 1232 | Neurology | 7 | 4 | Medical | 1 | 3 | Female | 39 | 3 | 3 | Therapist | 4 | Single | 7143 | 25713 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 11 | 2 | 2 | 11 | 9 | 4 | 10 | |
| 1259109 | 29 | No | Travel_Rarely | 144 | Cardiology | 10 | 1 | Marketing | 1 | 4 | Female | 39 | 2 | 2 | Nurse | 2 | Divorced | 8268 | 11866 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 7 | 7 | 1 | 7 | |
| 1138615 | 35 | No | Travel_Rarely | 1296 | Neurology | 5 | 4 | Technical Degree | 1 | 3 | Male | 62 | 3 | 3 | Therapist | 2 | Single | 8095 | 18264 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 17 | 5 | 3 | 16 | 6 | 0 | 13 | |
| 1366078 | 23 | No | Travel_Rarely | 1309 | Maternity | 26 | 1 | Life Sciences | 1 | 3 | Male | 83 | 3 | 1 | Other | 4 | Divorced | 2904 | 16092 | 1 | Y | No | 12 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 4 | 2 | 0 | 2 | |
| 1477474 | 41 | No | Travel_Rarely | 483 | Neurology | 6 | 3 | Medical | 1 | 4 | Male | 95 | 2 | 2 | Therapist | 2 | Single | 6032 | 10110 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 4 | 1 | 2 | |
| 1406287 | 47 | No | Travel_Frequently | 1309 | Cardiology | 4 | 1 | Medical | 1 | 2 | Male | 99 | 3 | 2 | Other | 3 | Single | 2976 | 25751 | 3 | Y | No | 19 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1544429 | 42 | No | Travel_Rarely | 810 | Maternity | 23 | 5 | Life Sciences | 1 | 1 | Female | 44 | 3 | 4 | Administrative | 4 | Single | 15992 | 15901 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1171206 | 29 | No | Non-Travel | 746 | Cardiology | 2 | 3 | Life Sciences | 1 | 4 | Male | 61 | 3 | 2 | Nurse | 3 | Married | 4649 | 16928 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 0 | 2 | |
| 1634652 | 42 | No | Travel_Rarely | 544 | Neurology | 2 | 1 | Technical Degree | 1 | 3 | Male | 52 | 3 | 1 | Other | 3 | Divorced | 2696 | 24017 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 5 | 3 | 3 | 2 | 1 | 0 | |
| 1280175 | 32 | No | Travel_Rarely | 1062 | Maternity | 2 | 3 | Medical | 1 | 3 | Female | 75 | 3 | 1 | Nurse | 2 | Married | 2370 | 3956 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 8 | 4 | 3 | 8 | 0 | 0 | 7 | |
| 1464473 | 48 | No | Travel_Rarely | 530 | Cardiology | 29 | 1 | Medical | 1 | 1 | Female | 91 | 3 | 3 | Administrative | 3 | Married | 12504 | 23978 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 15 | 3 | 1 | 0 | 0 | 0 | 0 | |
| 1400436 | 37 | No | Travel_Rarely | 1319 | Maternity | 6 | 3 | Medical | 1 | 3 | Male | 51 | 4 | 2 | Other | 1 | Divorced | 5974 | 17001 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 13 | 2 | 3 | 7 | 7 | 6 | 7 | |
| 1465814 | 30 | Yes | Non-Travel | 641 | Cardiology | 25 | 2 | Technical Degree | 1 | 4 | Female | 85 | 3 | 2 | Nurse | 3 | Married | 4736 | 6069 | 7 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 4 | 2 | 2 | 2 | 2 | |
| 1622008 | 26 | No | Travel_Rarely | 933 | Cardiology | 1 | 3 | Life Sciences | 1 | 3 | Male | 57 | 3 | 2 | Nurse | 3 | Married | 5296 | 20156 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 7 | 7 | |
| 1679401 | 42 | No | Travel_Rarely | 1332 | Maternity | 2 | 4 | Other | 1 | 1 | Male | 98 | 2 | 2 | Nurse | 4 | Single | 6781 | 17078 | 3 | Y | No | 23 | 4 | 2 | 80 | 0 | 14 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1612768 | 21 | Yes | Travel_Frequently | 756 | Cardiology | 1 | 1 | Technical Degree | 1 | 1 | Female | 99 | 2 | 1 | Other | 2 | Single | 2174 | 9150 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 3 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1680323 | 36 | No | Non-Travel | 845 | Cardiology | 1 | 5 | Medical | 1 | 4 | Female | 45 | 3 | 2 | Nurse | 4 | Single | 6653 | 15276 | 4 | Y | No | 15 | 3 | 2 | 80 | 0 | 7 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1340908 | 36 | No | Travel_Frequently | 541 | Cardiology | 3 | 4 | Medical | 1 | 1 | Male | 48 | 2 | 3 | Nurse | 4 | Married | 9699 | 7246 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 3 | 13 | 9 | 1 | 12 | |
| 1407209 | 57 | No | Travel_Rarely | 593 | Maternity | 1 | 4 | Medical | 1 | 4 | Male | 88 | 3 | 2 | Nurse | 3 | Married | 6755 | 2967 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1196631 | 40 | No | Travel_Rarely | 1171 | Maternity | 10 | 4 | Life Sciences | 1 | 4 | Female | 46 | 4 | 1 | Nurse | 3 | Married | 2213 | 22495 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 7 | 1 | 7 | |
| 1558158 | 21 | No | Non-Travel | 895 | Cardiology | 9 | 2 | Medical | 1 | 1 | Male | 39 | 3 | 1 | Other | 4 | Single | 2610 | 2851 | 1 | Y | No | 24 | 4 | 3 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 2 | 2 | |
| 1542984 | 33 | Yes | Travel_Rarely | 350 | Cardiology | 5 | 3 | Marketing | 1 | 4 | Female | 34 | 3 | 1 | Other | 3 | Single | 2851 | 9150 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1665531 | 37 | No | Travel_Rarely | 921 | Maternity | 10 | 3 | Medical | 1 | 3 | Female | 98 | 3 | 1 | Nurse | 1 | Married | 3452 | 17663 | 6 | Y | No | 20 | 4 | 2 | 80 | 1 | 17 | 3 | 3 | 5 | 4 | 0 | 3 | |
| 1815564 | 46 | No | Non-Travel | 1144 | Neurology | 7 | 4 | Medical | 1 | 3 | Female | 30 | 3 | 2 | Therapist | 3 | Married | 5258 | 16044 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 7 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1866571 | 41 | No | Travel_Frequently | 143 | Cardiology | 4 | 3 | Marketing | 1 | 1 | Male | 56 | 3 | 2 | Nurse | 2 | Single | 9355 | 9558 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 8 | 7 | 7 | 7 | |
| 1589819 | 50 | No | Travel_Rarely | 1046 | Maternity | 10 | 3 | Technical Degree | 1 | 4 | Male | 100 | 2 | 3 | Nurse | 4 | Single | 10496 | 2755 | 6 | Y | No | 15 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 | |
| 1645744 | 40 | No | Travel_Rarely | 575 | Cardiology | 22 | 2 | Marketing | 1 | 3 | Male | 68 | 2 | 2 | Nurse | 3 | Married | 6380 | 6110 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 2 | 8 | 6 | 3 | 6 | 4 | 1 | 0 | |
| 1235953 | 31 | Yes | Travel_Rarely | 408 | Maternity | 9 | 4 | Life Sciences | 1 | 3 | Male | 42 | 2 | 1 | Other | 2 | Single | 2657 | 7551 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 3 | 5 | 3 | 2 | 2 | 2 | 2 | |
| 1034442 | 21 | Yes | Travel_Rarely | 156 | Cardiology | 12 | 3 | Life Sciences | 1 | 3 | Female | 90 | 4 | 1 | Other | 2 | Single | 2716 | 25422 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 1 | 0 | 3 | 1 | 0 | 0 | 0 | |
| 1616596 | 29 | No | Travel_Rarely | 1283 | Maternity | 23 | 3 | Life Sciences | 1 | 4 | Male | 54 | 3 | 1 | Other | 4 | Single | 2201 | 18168 | 9 | Y | No | 16 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1078791 | 35 | No | Travel_Rarely | 755 | Maternity | 9 | 4 | Life Sciences | 1 | 3 | Male | 97 | 2 | 2 | Nurse | 2 | Single | 6540 | 19394 | 9 | Y | No | 19 | 3 | 3 | 80 | 0 | 10 | 5 | 3 | 1 | 1 | 0 | 0 | |
| 1513965 | 27 | No | Travel_Rarely | 1469 | Maternity | 1 | 2 | Medical | 1 | 4 | Male | 82 | 3 | 1 | Nurse | 2 | Divorced | 3816 | 17881 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 0 | 4 | |
| 1786169 | 28 | No | Travel_Rarely | 304 | Cardiology | 9 | 4 | Life Sciences | 1 | 2 | Male | 92 | 3 | 2 | Nurse | 4 | Single | 5253 | 20750 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 1 | 3 | 7 | 5 | 0 | 7 | |
| 1377506 | 49 | No | Travel_Rarely | 1261 | Maternity | 7 | 3 | Other | 1 | 2 | Male | 31 | 2 | 3 | Nurse | 3 | Single | 10965 | 12066 | 8 | Y | No | 24 | 4 | 3 | 80 | 0 | 26 | 2 | 3 | 5 | 2 | 0 | 0 | |
| 1653415 | 51 | No | Travel_Rarely | 1178 | Cardiology | 14 | 2 | Life Sciences | 1 | 3 | Female | 87 | 3 | 2 | Nurse | 4 | Married | 4936 | 14862 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 7 | 7 | 0 | 7 | |
| 1125672 | 36 | No | Travel_Rarely | 329 | Maternity | 2 | 3 | Life Sciences | 1 | 4 | Female | 96 | 3 | 1 | Other | 3 | Married | 2543 | 11868 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1629676 | 34 | Yes | Non-Travel | 1362 | Cardiology | 19 | 3 | Marketing | 1 | 1 | Male | 67 | 4 | 2 | Nurse | 4 | Single | 5304 | 4652 | 8 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 9 | 3 | 2 | 5 | 2 | 0 | 4 | |
| 1121223 | 55 | No | Travel_Rarely | 1311 | Neurology | 2 | 3 | Life Sciences | 1 | 3 | Female | 97 | 3 | 4 | Other | 4 | Single | 16659 | 23258 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 30 | 2 | 3 | 5 | 4 | 1 | 2 | |
| 1339400 | 24 | No | Travel_Rarely | 1371 | Cardiology | 10 | 4 | Marketing | 1 | 4 | Female | 77 | 3 | 2 | Nurse | 3 | Divorced | 4260 | 5915 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 5 | 2 | 0 | 3 | |
| 1382648 | 30 | No | Travel_Rarely | 202 | Cardiology | 2 | 1 | Technical Degree | 1 | 3 | Male | 72 | 3 | 1 | Other | 2 | Married | 2476 | 17434 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1685681 | 26 | No | Travel_Frequently | 575 | Maternity | 3 | 1 | Technical Degree | 1 | 3 | Male | 73 | 3 | 1 | Other | 1 | Single | 3102 | 6582 | 0 | Y | No | 22 | 4 | 3 | 80 | 0 | 7 | 2 | 3 | 6 | 4 | 0 | 4 | |
| 1700683 | 22 | No | Travel_Rarely | 253 | Maternity | 11 | 3 | Medical | 1 | 1 | Female | 43 | 3 | 1 | Other | 2 | Married | 2244 | 24440 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 2 | 1 | 3 | 2 | 1 | 1 | 2 | |
| 1634874 | 36 | No | Travel_Rarely | 164 | Cardiology | 2 | 2 | Medical | 1 | 2 | Male | 61 | 2 | 3 | Nurse | 3 | Married | 7596 | 3809 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 10 | 9 | 9 | 0 | |
| 1362644 | 30 | Yes | Travel_Frequently | 464 | Maternity | 4 | 3 | Technical Degree | 1 | 3 | Male | 40 | 3 | 1 | Other | 4 | Single | 2285 | 3427 | 9 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 3 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1286933 | 37 | No | Travel_Rarely | 1107 | Maternity | 14 | 3 | Life Sciences | 1 | 4 | Female | 95 | 3 | 1 | Nurse | 1 | Divorced | 3034 | 26914 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 18 | 7 | 12 | 17 | |
| 1848633 | 40 | No | Travel_Rarely | 759 | Cardiology | 2 | 2 | Marketing | 1 | 4 | Female | 46 | 3 | 2 | Nurse | 2 | Divorced | 5715 | 22553 | 7 | Y | No | 12 | 3 | 3 | 80 | 2 | 8 | 5 | 3 | 5 | 4 | 1 | 3 | |
| 1065198 | 42 | No | Travel_Rarely | 201 | Maternity | 1 | 4 | Life Sciences | 1 | 2 | Female | 95 | 3 | 1 | Nurse | 1 | Divorced | 2576 | 20490 | 3 | Y | No | 16 | 3 | 2 | 80 | 1 | 8 | 5 | 3 | 5 | 2 | 1 | 2 | |
| 1703984 | 37 | No | Travel_Rarely | 1305 | Maternity | 10 | 4 | Life Sciences | 1 | 3 | Male | 49 | 3 | 2 | Therapist | 2 | Single | 4197 | 21123 | 2 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 1 | 0 | 0 | 1 | |
| 1538992 | 43 | No | Travel_Rarely | 982 | Maternity | 12 | 3 | Life Sciences | 1 | 1 | Male | 59 | 2 | 4 | Administrative | 2 | Divorced | 14336 | 4345 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 3 | 3 | 25 | 10 | 3 | 9 | |
| 1488170 | 40 | No | Travel_Rarely | 555 | Maternity | 2 | 3 | Medical | 1 | 2 | Female | 78 | 2 | 2 | Nurse | 3 | Married | 3448 | 13436 | 6 | Y | No | 22 | 4 | 2 | 80 | 1 | 20 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1530826 | 54 | No | Travel_Rarely | 821 | Maternity | 5 | 2 | Medical | 1 | 1 | Male | 86 | 3 | 5 | Administrative | 1 | Married | 19406 | 8509 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 24 | 4 | 2 | 4 | 2 | 1 | 2 | |
| 1550660 | 34 | No | Non-Travel | 1381 | Cardiology | 4 | 4 | Marketing | 1 | 3 | Female | 72 | 3 | 2 | Nurse | 3 | Married | 6538 | 12740 | 9 | Y | No | 15 | 3 | 1 | 80 | 1 | 6 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1766543 | 31 | No | Travel_Rarely | 480 | Neurology | 7 | 2 | Medical | 1 | 2 | Female | 31 | 3 | 2 | Therapist | 1 | Married | 4306 | 4156 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 1 | 13 | 10 | 3 | 12 | |
| 1241240 | 43 | No | Travel_Frequently | 313 | Maternity | 21 | 3 | Medical | 1 | 4 | Male | 61 | 3 | 1 | Nurse | 4 | Married | 2258 | 15238 | 7 | Y | No | 20 | 4 | 1 | 80 | 1 | 8 | 1 | 3 | 3 | 2 | 1 | 2 | |
| 1616188 | 43 | No | Travel_Rarely | 1473 | Maternity | 8 | 4 | Other | 1 | 3 | Female | 74 | 3 | 2 | Nurse | 3 | Divorced | 4522 | 2227 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 2 | 0 | 2 | |
| 1068776 | 25 | No | Travel_Rarely | 891 | Cardiology | 4 | 2 | Life Sciences | 1 | 2 | Female | 99 | 2 | 2 | Nurse | 4 | Single | 4487 | 12090 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 1 | 3 | |
| 1514615 | 37 | No | Non-Travel | 1063 | Maternity | 25 | 5 | Medical | 1 | 2 | Female | 72 | 3 | 2 | Other | 3 | Married | 4449 | 23866 | 3 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 13 | 11 | 10 | 7 | |
| 1413436 | 31 | No | Travel_Rarely | 329 | Maternity | 1 | 2 | Life Sciences | 1 | 4 | Male | 98 | 2 | 1 | Nurse | 1 | Married | 2218 | 16193 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 4 | 2 | 3 | 2 | |
| 1660433 | 39 | No | Travel_Frequently | 1218 | Neurology | 1 | 1 | Life Sciences | 1 | 2 | Male | 52 | 3 | 5 | Other | 3 | Divorced | 19197 | 8213 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 8 | 1 | 6 | |
| 1415736 | 56 | No | Travel_Frequently | 906 | Cardiology | 6 | 3 | Life Sciences | 1 | 3 | Female | 86 | 4 | 4 | Nurse | 1 | Married | 13212 | 18256 | 9 | Y | No | 11 | 3 | 4 | 80 | 3 | 36 | 0 | 2 | 7 | 7 | 7 | 7 | |
| 1356712 | 30 | No | Travel_Rarely | 1082 | Cardiology | 12 | 3 | Technical Degree | 1 | 2 | Female | 83 | 3 | 2 | Nurse | 3 | Single | 6577 | 19558 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 6 | 3 | 5 | 4 | 4 | 4 | |
| 1482423 | 41 | No | Travel_Rarely | 645 | Cardiology | 1 | 3 | Marketing | 1 | 2 | Male | 49 | 4 | 3 | Nurse | 1 | Married | 8392 | 19566 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 7 | |
| 1735186 | 28 | No | Travel_Rarely | 1300 | Maternity | 17 | 2 | Medical | 1 | 3 | Male | 79 | 3 | 2 | Nurse | 1 | Divorced | 4558 | 13535 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 0 | 1 | 8 | |
| 1303791 | 25 | Yes | Travel_Rarely | 688 | Maternity | 3 | 3 | Medical | 1 | 1 | Male | 91 | 3 | 1 | Nurse | 1 | Married | 4031 | 9396 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 2 | 2 | 0 | 2 | |
| 1595705 | 52 | No | Travel_Rarely | 319 | Neurology | 3 | 3 | Medical | 1 | 4 | Male | 39 | 2 | 3 | Therapist | 3 | Married | 7969 | 19609 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 28 | 4 | 3 | 5 | 4 | 0 | 4 | |
| 1314827 | 45 | No | Travel_Rarely | 192 | Maternity | 10 | 2 | Life Sciences | 1 | 1 | Male | 69 | 3 | 1 | Other | 4 | Married | 2654 | 9655 | 3 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 3 | 2 | 2 | 2 | 0 | 2 | |
| 1499671 | 52 | No | Travel_Rarely | 1490 | Neurology | 4 | 2 | Life Sciences | 1 | 4 | Female | 30 | 3 | 4 | Other | 4 | Married | 16555 | 10310 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 31 | 2 | 1 | 5 | 2 | 1 | 4 | |
| 1085614 | 42 | No | Travel_Frequently | 532 | Maternity | 29 | 2 | Life Sciences | 1 | 1 | Female | 92 | 3 | 2 | Other | 3 | Divorced | 4556 | 12932 | 2 | Y | No | 11 | 3 | 2 | 80 | 1 | 19 | 3 | 3 | 5 | 4 | 0 | 2 | |
| 1635763 | 30 | No | Travel_Rarely | 317 | Neurology | 2 | 3 | Life Sciences | 1 | 3 | Female | 43 | 1 | 2 | Therapist | 4 | Single | 6091 | 24793 | 2 | Y | No | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 3 | 5 | 4 | 0 | 2 | |
| 1031735 | 60 | No | Travel_Rarely | 422 | Neurology | 7 | 3 | Life Sciences | 1 | 1 | Female | 41 | 3 | 5 | Other | 1 | Married | 19566 | 3854 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 33 | 5 | 1 | 29 | 8 | 11 | 10 | |
| 1787984 | 46 | No | Travel_Rarely | 1485 | Maternity | 18 | 3 | Medical | 1 | 3 | Female | 87 | 3 | 2 | Therapist | 3 | Divorced | 4810 | 26314 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 5 | 2 | 10 | 7 | 0 | 8 | |
| 1867121 | 42 | No | Travel_Frequently | 1368 | Maternity | 28 | 4 | Technical Degree | 1 | 4 | Female | 88 | 2 | 2 | Nurse | 4 | Married | 4523 | 4386 | 0 | Y | No | 11 | 3 | 4 | 80 | 3 | 7 | 4 | 4 | 6 | 5 | 0 | 4 | |
| 1377208 | 24 | Yes | Travel_Rarely | 1448 | Cardiology | 1 | 1 | Technical Degree | 1 | 1 | Female | 62 | 3 | 1 | Other | 2 | Single | 3202 | 21972 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 5 | 3 | 1 | 4 | |
| 1548908 | 34 | No | Travel_Frequently | 296 | Cardiology | 6 | 2 | Marketing | 1 | 4 | Female | 33 | 1 | 1 | Other | 3 | Divorced | 2351 | 12253 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 2 | 2 | 1 | 0 | |
| 1501749 | 38 | No | Travel_Frequently | 1490 | Maternity | 2 | 2 | Life Sciences | 1 | 4 | Male | 42 | 3 | 1 | Nurse | 4 | Married | 1702 | 12106 | 1 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1317087 | 40 | No | Travel_Rarely | 1398 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Female | 79 | 3 | 5 | Administrative | 3 | Married | 18041 | 13022 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 20 | 15 | 1 | 12 | |
| 1865341 | 26 | No | Travel_Rarely | 1349 | Maternity | 23 | 3 | Life Sciences | 1 | 1 | Female | 90 | 3 | 1 | Other | 4 | Divorced | 2886 | 3032 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 3 | 3 | 1 | 3 | 2 | 0 | 2 | |
| 1051420 | 30 | No | Non-Travel | 1400 | Maternity | 3 | 3 | Life Sciences | 1 | 3 | Male | 53 | 3 | 1 | Nurse | 4 | Married | 2097 | 16734 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 3 | 1 | 5 | 3 | 1 | 4 | |
| 1589813 | 29 | No | Travel_Rarely | 986 | Maternity | 3 | 4 | Medical | 1 | 2 | Male | 93 | 2 | 3 | Administrative | 3 | Married | 11935 | 21526 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 10 | 2 | 0 | 7 | |
| 1297138 | 29 | Yes | Travel_Rarely | 408 | Maternity | 25 | 5 | Technical Degree | 1 | 3 | Female | 71 | 2 | 1 | Other | 2 | Married | 2546 | 18300 | 5 | Y | No | 16 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 2 | 2 | 1 | 1 | |
| 1191505 | 19 | Yes | Travel_Rarely | 489 | Neurology | 2 | 2 | Technical Degree | 1 | 1 | Male | 52 | 2 | 1 | Other | 4 | Single | 2564 | 18437 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1708021 | 30 | No | Non-Travel | 1398 | Cardiology | 22 | 4 | Other | 1 | 3 | Female | 69 | 3 | 3 | Nurse | 1 | Married | 8412 | 2890 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 9 | 8 | 7 | 8 | |
| 1353649 | 57 | No | Travel_Rarely | 210 | Cardiology | 29 | 3 | Marketing | 1 | 1 | Male | 56 | 2 | 4 | Administrative | 4 | Divorced | 14118 | 22102 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1669573 | 50 | No | Travel_Rarely | 1099 | Neurology | 29 | 4 | Life Sciences | 1 | 2 | Male | 88 | 2 | 4 | Other | 3 | Married | 17046 | 9314 | 0 | Y | No | 15 | 3 | 2 | 80 | 1 | 28 | 2 | 3 | 27 | 10 | 15 | 7 | |
| 1613984 | 30 | No | Non-Travel | 1116 | Maternity | 2 | 3 | Medical | 1 | 3 | Female | 49 | 3 | 1 | Nurse | 4 | Single | 2564 | 7181 | 0 | Y | No | 14 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 7 | 6 | 7 | |
| 1269877 | 60 | No | Travel_Frequently | 1499 | Cardiology | 28 | 3 | Marketing | 1 | 3 | Female | 80 | 2 | 3 | Nurse | 1 | Married | 10266 | 2845 | 4 | Y | No | 19 | 3 | 4 | 80 | 0 | 22 | 5 | 4 | 18 | 13 | 13 | 11 | |
| 1593662 | 47 | No | Travel_Rarely | 983 | Neurology | 2 | 2 | Medical | 1 | 1 | Female | 65 | 3 | 2 | Therapist | 4 | Divorced | 5070 | 7389 | 5 | Y | No | 13 | 3 | 3 | 80 | 3 | 20 | 2 | 3 | 5 | 0 | 0 | 4 | |
| 1580340 | 46 | No | Travel_Rarely | 1009 | Maternity | 2 | 3 | Life Sciences | 1 | 1 | Male | 51 | 3 | 4 | Administrative | 3 | Married | 17861 | 2288 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 26 | 2 | 1 | 3 | 2 | 0 | 1 | |
| 1354096 | 35 | No | Travel_Rarely | 144 | Maternity | 22 | 3 | Life Sciences | 1 | 4 | Male | 46 | 1 | 1 | Nurse | 3 | Single | 4230 | 19225 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 5 | 4 | 4 | 3 | |
| 1667303 | 54 | No | Travel_Rarely | 548 | Maternity | 8 | 4 | Life Sciences | 1 | 3 | Female | 42 | 3 | 2 | Nurse | 3 | Single | 3780 | 23428 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 19 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1095688 | 34 | No | Travel_Rarely | 1303 | Maternity | 2 | 4 | Life Sciences | 1 | 4 | Male | 62 | 2 | 1 | Other | 3 | Divorced | 2768 | 8416 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 7 | 3 | 5 | 7 | |
| 1725110 | 31 | No | Travel_Rarely | 1274 | Maternity | 9 | 1 | Life Sciences | 1 | 3 | Male | 33 | 3 | 3 | Therapist | 2 | Divorced | 10648 | 14394 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 13 | 6 | 4 | 13 | 8 | 0 | 8 | |
| 1563027 | 33 | Yes | Travel_Rarely | 1277 | Neurology | 15 | 1 | Medical | 1 | 2 | Male | 56 | 3 | 3 | Other | 3 | Married | 13610 | 24619 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 15 | 2 | 4 | 7 | 6 | 7 | 7 | |
| 1173414 | 33 | No | Travel_Rarely | 587 | Maternity | 10 | 1 | Medical | 1 | 1 | Male | 38 | 1 | 1 | Nurse | 4 | Divorced | 3408 | 6705 | 7 | Y | No | 13 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 4 | 3 | 1 | 3 | |
| 1188476 | 30 | No | Travel_Rarely | 413 | Cardiology | 7 | 1 | Marketing | 1 | 4 | Male | 57 | 3 | 1 | Other | 2 | Single | 2983 | 18398 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1204541 | 35 | No | Travel_Rarely | 1276 | Maternity | 16 | 3 | Life Sciences | 1 | 4 | Male | 72 | 3 | 3 | Nurse | 3 | Married | 7632 | 14295 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 0 | |
| 1736866 | 31 | Yes | Travel_Frequently | 534 | Maternity | 20 | 3 | Life Sciences | 1 | 1 | Male | 66 | 3 | 3 | Nurse | 3 | Married | 9824 | 22908 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1776529 | 34 | Yes | Travel_Frequently | 988 | Neurology | 23 | 3 | Human Resources | 1 | 2 | Female | 43 | 3 | 3 | Other | 1 | Divorced | 9950 | 11533 | 9 | Y | Yes | 15 | 3 | 3 | 80 | 3 | 11 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1489398 | 42 | No | Travel_Frequently | 1474 | Maternity | 5 | 2 | Other | 1 | 2 | Male | 97 | 3 | 1 | Nurse | 3 | Married | 2093 | 9260 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 2 | 2 | 2 | 0 | |
| 1673608 | 36 | No | Non-Travel | 635 | Cardiology | 10 | 4 | Medical | 1 | 2 | Male | 32 | 3 | 3 | Nurse | 4 | Single | 9980 | 15318 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 2 | 10 | 3 | 9 | 7 | |
| 1107497 | 22 | No | Travel_Frequently | 1368 | Maternity | 4 | 1 | Technical Degree | 1 | 3 | Male | 99 | 2 | 1 | Nurse | 3 | Single | 3894 | 9129 | 5 | Y | No | 16 | 3 | 3 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 1 | 2 | |
| 1096432 | 48 | No | Travel_Rarely | 163 | Cardiology | 2 | 5 | Marketing | 1 | 2 | Female | 37 | 3 | 2 | Nurse | 4 | Married | 4051 | 19658 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 14 | 2 | 3 | 9 | 7 | 6 | 7 | |
| 1045162 | 55 | No | Travel_Rarely | 1117 | Cardiology | 18 | 5 | Life Sciences | 1 | 1 | Female | 83 | 3 | 4 | Administrative | 2 | Single | 16835 | 9873 | 3 | Y | No | 23 | 4 | 4 | 80 | 0 | 37 | 2 | 3 | 10 | 9 | 7 | 7 | |
| 1756239 | 41 | No | Non-Travel | 267 | Cardiology | 10 | 2 | Life Sciences | 1 | 4 | Male | 56 | 3 | 2 | Nurse | 4 | Single | 6230 | 13430 | 7 | Y | No | 14 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 14 | 3 | 1 | 10 | |
| 1372229 | 35 | No | Travel_Rarely | 619 | Cardiology | 1 | 3 | Marketing | 1 | 2 | Male | 85 | 3 | 2 | Nurse | 3 | Married | 4717 | 18659 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 | |
| 1413753 | 40 | No | Travel_Rarely | 302 | Neurology | 6 | 3 | Life Sciences | 1 | 2 | Female | 75 | 3 | 4 | Therapist | 3 | Single | 13237 | 20364 | 7 | Y | No | 15 | 3 | 3 | 80 | 0 | 22 | 3 | 3 | 20 | 6 | 5 | 13 | |
| 1394294 | 39 | No | Travel_Frequently | 443 | Maternity | 8 | 1 | Life Sciences | 1 | 3 | Female | 48 | 3 | 1 | Nurse | 3 | Married | 3755 | 17872 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 3 | 0 | 7 | |
| 1233772 | 31 | No | Travel_Rarely | 828 | Cardiology | 2 | 1 | Life Sciences | 1 | 2 | Male | 77 | 3 | 2 | Nurse | 4 | Single | 6582 | 8346 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 4 | 6 | 5 | 0 | 5 | |
| 1882668 | 42 | No | Travel_Rarely | 319 | Maternity | 24 | 3 | Medical | 1 | 4 | Male | 56 | 3 | 3 | Therapist | 1 | Married | 7406 | 6950 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 1 | 10 | 5 | 2 | 10 | 9 | 5 | 8 | |
| 1218847 | 45 | No | Travel_Rarely | 561 | Cardiology | 2 | 3 | Other | 1 | 4 | Male | 61 | 3 | 2 | Nurse | 2 | Married | 4805 | 16177 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 8 | 7 | 3 | 7 | |
| 1636995 | 26 | Yes | Travel_Frequently | 426 | Neurology | 17 | 4 | Life Sciences | 1 | 2 | Female | 58 | 3 | 1 | Other | 3 | Divorced | 2741 | 22808 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 7 | 7 | 1 | 0 | |
| 1780761 | 29 | No | Travel_Rarely | 232 | Maternity | 19 | 3 | Technical Degree | 1 | 4 | Male | 34 | 3 | 2 | Therapist | 4 | Divorced | 4262 | 22645 | 4 | Y | No | 12 | 3 | 2 | 80 | 2 | 8 | 2 | 4 | 3 | 2 | 1 | 2 | |
| 1375351 | 33 | No | Travel_Rarely | 922 | Maternity | 1 | 5 | Medical | 1 | 1 | Female | 95 | 4 | 4 | Administrative | 3 | Divorced | 16184 | 22578 | 4 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 6 | 1 | 0 | 5 | |
| 1670281 | 31 | No | Travel_Rarely | 688 | Cardiology | 7 | 3 | Life Sciences | 1 | 3 | Male | 44 | 2 | 3 | Administrative | 4 | Divorced | 11557 | 25291 | 9 | Y | No | 21 | 4 | 3 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 1 | |
| 1138891 | 18 | Yes | Travel_Frequently | 1306 | Cardiology | 5 | 3 | Marketing | 1 | 2 | Male | 69 | 3 | 1 | Other | 2 | Single | 1878 | 8059 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1755403 | 40 | No | Non-Travel | 1094 | Cardiology | 28 | 3 | Other | 1 | 3 | Male | 58 | 1 | 3 | Nurse | 1 | Divorced | 10932 | 11373 | 3 | Y | No | 15 | 3 | 3 | 80 | 1 | 20 | 2 | 3 | 1 | 0 | 0 | 1 | |
| 1566630 | 41 | No | Non-Travel | 509 | Maternity | 2 | 4 | Other | 1 | 1 | Female | 62 | 2 | 2 | Nurse | 3 | Single | 6811 | 2112 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 8 | 7 | 0 | 7 | |
| 1777635 | 26 | No | Travel_Rarely | 775 | Cardiology | 29 | 2 | Medical | 1 | 1 | Male | 45 | 3 | 2 | Nurse | 3 | Divorced | 4306 | 4267 | 5 | Y | No | 12 | 3 | 1 | 80 | 2 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | |
| 1427912 | 35 | No | Travel_Rarely | 195 | Cardiology | 1 | 3 | Medical | 1 | 1 | Female | 80 | 3 | 2 | Nurse | 3 | Single | 4859 | 6698 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 3 | |
| 1884554 | 34 | No | Travel_Rarely | 258 | Cardiology | 21 | 4 | Life Sciences | 1 | 4 | Male | 74 | 4 | 2 | Nurse | 4 | Single | 5337 | 19921 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 5 | 7 | |
| 1335605 | 26 | Yes | Travel_Rarely | 471 | Maternity | 24 | 3 | Technical Degree | 1 | 3 | Male | 66 | 1 | 1 | Nurse | 4 | Single | 2340 | 23213 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | |
| 1361476 | 37 | No | Travel_Rarely | 799 | Neurology | 1 | 3 | Technical Degree | 1 | 2 | Female | 59 | 3 | 3 | Therapist | 4 | Single | 7491 | 23848 | 4 | Y | No | 17 | 3 | 4 | 80 | 0 | 12 | 3 | 4 | 6 | 5 | 1 | 2 | |
| 1057253 | 46 | No | Travel_Frequently | 1034 | Maternity | 18 | 1 | Medical | 1 | 1 | Female | 86 | 3 | 3 | Nurse | 3 | Married | 10527 | 8984 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 2 | 2 | 1 | 2 | |
| 1617735 | 41 | No | Travel_Rarely | 1276 | Cardiology | 2 | 5 | Life Sciences | 1 | 2 | Female | 91 | 3 | 4 | Administrative | 1 | Married | 16595 | 5626 | 7 | Y | No | 16 | 3 | 2 | 80 | 1 | 22 | 2 | 3 | 18 | 16 | 11 | 8 | |
| 1037353 | 37 | No | Non-Travel | 142 | Cardiology | 9 | 4 | Medical | 1 | 1 | Male | 69 | 3 | 3 | Nurse | 2 | Divorced | 8834 | 24666 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 6 | 3 | 9 | 5 | 7 | 7 | |
| 1455020 | 52 | No | Travel_Rarely | 956 | Maternity | 6 | 2 | Technical Degree | 1 | 4 | Male | 78 | 3 | 2 | Other | 1 | Divorced | 5577 | 22087 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 18 | 3 | 3 | 10 | 9 | 6 | 9 | |
| 1689256 | 32 | No | Non-Travel | 1474 | Cardiology | 11 | 4 | Other | 1 | 4 | Male | 60 | 4 | 2 | Nurse | 3 | Married | 4707 | 23914 | 8 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 2 | 1 | 2 | |
| 1793245 | 24 | No | Travel_Frequently | 535 | Cardiology | 24 | 3 | Medical | 1 | 4 | Male | 38 | 3 | 1 | Other | 4 | Married | 2400 | 5530 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 | |
| 1267131 | 38 | No | Travel_Rarely | 1495 | Maternity | 10 | 3 | Medical | 1 | 3 | Female | 76 | 3 | 2 | Nurse | 3 | Married | 9824 | 22174 | 3 | Y | No | 19 | 3 | 3 | 80 | 1 | 18 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1105684 | 37 | No | Travel_Rarely | 446 | Neurology | 1 | 4 | Life Sciences | 1 | 2 | Female | 65 | 3 | 2 | Therapist | 2 | Married | 6447 | 15701 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 6 | 5 | 4 | 3 | |
| 1206385 | 49 | No | Travel_Rarely | 1245 | Maternity | 18 | 4 | Life Sciences | 1 | 4 | Male | 58 | 2 | 5 | Administrative | 3 | Divorced | 19502 | 2125 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 31 | 5 | 3 | 31 | 9 | 0 | 9 | |
| 1487282 | 24 | No | Travel_Rarely | 691 | Maternity | 23 | 3 | Medical | 1 | 2 | Male | 89 | 4 | 1 | Other | 4 | Married | 2725 | 21630 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 1 | 4 | |
| 1295289 | 26 | No | Travel_Rarely | 703 | Cardiology | 28 | 2 | Marketing | 1 | 1 | Male | 66 | 3 | 2 | Nurse | 2 | Married | 6272 | 7428 | 1 | Y | No | 20 | 4 | 4 | 80 | 2 | 6 | 5 | 4 | 5 | 3 | 1 | 4 | |
| 1875209 | 24 | No | Travel_Rarely | 823 | Maternity | 17 | 2 | Other | 1 | 4 | Male | 94 | 2 | 1 | Nurse | 2 | Married | 2127 | 9100 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1079394 | 50 | No | Travel_Frequently | 1246 | Neurology | 3 | 3 | Medical | 1 | 1 | Male | 99 | 3 | 5 | Administrative | 2 | Married | 18200 | 7999 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 2 | 3 | 32 | 5 | 10 | 7 | |
| 1353559 | 25 | No | Travel_Rarely | 622 | Cardiology | 13 | 1 | Medical | 1 | 2 | Male | 40 | 3 | 1 | Other | 3 | Married | 2096 | 26376 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 1 | 3 | 7 | 4 | 0 | 6 | |
| 1119549 | 24 | Yes | Travel_Frequently | 1287 | Maternity | 7 | 3 | Life Sciences | 1 | 1 | Female | 55 | 3 | 1 | Nurse | 3 | Married | 2886 | 14168 | 1 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 6 | 3 | 1 | 2 | |
| 1209208 | 30 | Yes | Travel_Frequently | 448 | Cardiology | 12 | 4 | Life Sciences | 1 | 2 | Male | 74 | 2 | 1 | Other | 1 | Married | 2033 | 14470 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 1 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1228187 | 34 | No | Travel_Rarely | 254 | Maternity | 1 | 2 | Life Sciences | 1 | 2 | Male | 83 | 2 | 1 | Other | 4 | Married | 3622 | 22794 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 6 | 5 | 1 | 3 | |
| 1090528 | 31 | No | Travel_Rarely | 1365 | Cardiology | 13 | 4 | Medical | 1 | 2 | Male | 46 | 3 | 2 | Nurse | 1 | Divorced | 4233 | 11512 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 9 | 2 | 1 | 3 | 1 | 1 | 2 | |
| 1665575 | 35 | No | Travel_Rarely | 538 | Maternity | 25 | 2 | Other | 1 | 1 | Male | 54 | 2 | 2 | Nurse | 4 | Single | 3681 | 14004 | 4 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1761086 | 31 | No | Travel_Rarely | 525 | Cardiology | 6 | 4 | Medical | 1 | 1 | Male | 66 | 4 | 2 | Nurse | 4 | Divorced | 5460 | 6219 | 4 | Y | No | 22 | 4 | 4 | 80 | 2 | 13 | 4 | 4 | 7 | 7 | 5 | 7 | |
| 1591129 | 27 | No | Travel_Rarely | 798 | Maternity | 6 | 4 | Medical | 1 | 1 | Female | 66 | 2 | 1 | Other | 3 | Divorced | 2187 | 5013 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 6 | 5 | 2 | 5 | 3 | 0 | 3 | |
| 1518444 | 37 | No | Travel_Rarely | 558 | Cardiology | 2 | 3 | Marketing | 1 | 4 | Male | 75 | 3 | 2 | Nurse | 3 | Married | 9602 | 3010 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 17 | 3 | 2 | 3 | 0 | 1 | 0 | |
| 1814200 | 42 | No | Travel_Rarely | 622 | Maternity | 2 | 4 | Life Sciences | 1 | 3 | Female | 81 | 3 | 2 | Nurse | 4 | Married | 4089 | 5718 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 4 | 3 | 10 | 2 | 2 | 2 | |
| 1669153 | 43 | No | Travel_Rarely | 782 | Maternity | 6 | 4 | Other | 1 | 2 | Male | 50 | 2 | 4 | Administrative | 4 | Divorced | 16627 | 2671 | 4 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1668455 | 38 | No | Travel_Rarely | 362 | Maternity | 1 | 1 | Life Sciences | 1 | 3 | Female | 43 | 3 | 1 | Other | 1 | Single | 2619 | 14561 | 3 | Y | No | 17 | 3 | 4 | 80 | 0 | 8 | 3 | 2 | 0 | 0 | 0 | 0 | |
| 1251852 | 43 | No | Travel_Frequently | 1001 | Maternity | 9 | 5 | Medical | 1 | 4 | Male | 72 | 3 | 2 | Nurse | 3 | Divorced | 5679 | 19627 | 3 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 8 | 7 | 4 | 7 | |
| 1589946 | 48 | No | Travel_Rarely | 1236 | Neurology | 1 | 4 | Life Sciences | 1 | 4 | Female | 40 | 2 | 4 | Other | 1 | Married | 15402 | 17997 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 3 | 1 | 3 | 2 | 0 | 2 | |
| 1580530 | 44 | No | Travel_Rarely | 1112 | Neurology | 1 | 4 | Life Sciences | 1 | 1 | Female | 50 | 2 | 2 | Other | 3 | Single | 5985 | 26894 | 4 | Y | No | 11 | 3 | 2 | 80 | 0 | 10 | 1 | 4 | 2 | 2 | 0 | 2 | |
| 1718961 | 34 | No | Travel_Rarely | 204 | Cardiology | 14 | 3 | Technical Degree | 1 | 3 | Female | 31 | 3 | 1 | Other | 3 | Divorced | 2579 | 2912 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 8 | 3 | 3 | 8 | 2 | 0 | 6 | |
| 1792606 | 27 | No | Travel_Rarely | 1420 | Cardiology | 2 | 1 | Marketing | 1 | 3 | Male | 85 | 3 | 1 | Other | 1 | Divorced | 3041 | 16346 | 0 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 0 | 2 | |
| 1147261 | 21 | No | Travel_Rarely | 1343 | Cardiology | 22 | 1 | Technical Degree | 1 | 3 | Male | 49 | 3 | 1 | Other | 3 | Single | 3447 | 24444 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1434704 | 44 | No | Travel_Rarely | 1315 | Neurology | 3 | 4 | Other | 1 | 4 | Male | 35 | 3 | 5 | Other | 4 | Married | 19513 | 9358 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 26 | 2 | 4 | 2 | 2 | 0 | 1 | |
| 1794793 | 22 | No | Travel_Rarely | 604 | Maternity | 6 | 1 | Medical | 1 | 1 | Male | 69 | 3 | 1 | Other | 3 | Married | 2773 | 12145 | 0 | Y | No | 20 | 4 | 4 | 80 | 0 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1034561 | 33 | No | Travel_Rarely | 1216 | Cardiology | 8 | 4 | Marketing | 1 | 3 | Male | 39 | 3 | 2 | Nurse | 3 | Divorced | 7104 | 20431 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 2 | |
| 1745732 | 32 | No | Travel_Rarely | 646 | Maternity | 9 | 4 | Life Sciences | 1 | 1 | Female | 92 | 3 | 2 | Other | 4 | Married | 6322 | 18089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 2 | 6 | 4 | 0 | 5 | |
| 1477313 | 30 | No | Travel_Frequently | 160 | Maternity | 3 | 3 | Medical | 1 | 3 | Female | 71 | 3 | 1 | Other | 3 | Divorced | 2083 | 22653 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1624205 | 53 | No | Travel_Rarely | 238 | Cardiology | 1 | 1 | Medical | 1 | 4 | Female | 34 | 3 | 2 | Nurse | 1 | Single | 8381 | 7507 | 7 | Y | No | 20 | 4 | 4 | 80 | 0 | 18 | 2 | 4 | 14 | 7 | 8 | 10 | |
| 1641585 | 34 | No | Travel_Rarely | 1397 | Maternity | 1 | 5 | Life Sciences | 1 | 2 | Male | 42 | 3 | 1 | Other | 4 | Married | 2691 | 7660 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 4 | 2 | 10 | 9 | 8 | 8 | |
| 1080875 | 45 | Yes | Travel_Frequently | 306 | Cardiology | 26 | 4 | Life Sciences | 1 | 1 | Female | 100 | 3 | 2 | Nurse | 1 | Married | 4286 | 5630 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 0 | |
| 1551597 | 26 | No | Travel_Rarely | 991 | Maternity | 6 | 3 | Life Sciences | 1 | 3 | Female | 71 | 3 | 1 | Nurse | 4 | Married | 2659 | 17759 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1498477 | 37 | No | Travel_Rarely | 482 | Neurology | 3 | 3 | Other | 1 | 3 | Male | 36 | 3 | 3 | Therapist | 3 | Married | 9434 | 9606 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 7 | 8 | |
| 1507332 | 29 | No | Travel_Rarely | 1176 | Cardiology | 3 | 2 | Medical | 1 | 2 | Female | 62 | 3 | 2 | Nurse | 3 | Married | 5561 | 3487 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 6 | 0 | 1 | 2 | |
| 1398672 | 35 | No | Travel_Rarely | 1017 | Maternity | 6 | 4 | Life Sciences | 1 | 2 | Male | 82 | 1 | 2 | Other | 4 | Single | 6646 | 19368 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 11 | 11 | 8 | |
| 1179356 | 33 | No | Travel_Frequently | 1296 | Maternity | 6 | 3 | Life Sciences | 1 | 3 | Male | 30 | 3 | 2 | Nurse | 4 | Divorced | 7725 | 5335 | 3 | Y | No | 23 | 4 | 3 | 80 | 1 | 15 | 2 | 1 | 13 | 11 | 4 | 7 | |
| 1414067 | 54 | No | Travel_Rarely | 397 | Neurology | 19 | 4 | Medical | 1 | 3 | Male | 88 | 3 | 3 | Other | 2 | Married | 10725 | 6729 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 16 | 1 | 4 | 9 | 7 | 7 | 1 | |
| 1285109 | 36 | No | Travel_Rarely | 913 | Maternity | 9 | 2 | Medical | 1 | 2 | Male | 48 | 2 | 2 | Therapist | 2 | Divorced | 8847 | 13934 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1699009 | 27 | No | Travel_Rarely | 1115 | Maternity | 3 | 4 | Medical | 1 | 1 | Male | 54 | 2 | 1 | Other | 4 | Single | 2045 | 15174 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 0 | 3 | 4 | 2 | 1 | 1 | |
| 1547538 | 20 | Yes | Travel_Rarely | 1362 | Maternity | 10 | 1 | Medical | 1 | 4 | Male | 32 | 3 | 1 | Other | 3 | Single | 1009 | 26999 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 1 | |
| 1712154 | 33 | Yes | Travel_Frequently | 1076 | Maternity | 3 | 3 | Life Sciences | 1 | 1 | Male | 70 | 3 | 1 | Other | 1 | Single | 3348 | 3164 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 9 | 7 | |
| 1715015 | 35 | No | Non-Travel | 727 | Maternity | 3 | 3 | Life Sciences | 1 | 3 | Male | 41 | 2 | 1 | Nurse | 3 | Married | 1281 | 16900 | 1 | Y | No | 18 | 3 | 3 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1344006 | 23 | No | Travel_Rarely | 885 | Maternity | 4 | 3 | Medical | 1 | 1 | Male | 58 | 4 | 1 | Other | 1 | Married | 2819 | 8544 | 2 | Y | No | 16 | 3 | 1 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 0 | 2 | |
| 1136352 | 25 | No | Travel_Rarely | 810 | Cardiology | 8 | 3 | Life Sciences | 1 | 4 | Male | 57 | 4 | 2 | Nurse | 2 | Married | 4851 | 15678 | 0 | Y | No | 22 | 4 | 3 | 80 | 1 | 4 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1767421 | 38 | No | Travel_Rarely | 243 | Cardiology | 7 | 4 | Marketing | 1 | 4 | Female | 46 | 2 | 2 | Nurse | 4 | Single | 4028 | 7791 | 0 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 5 | |
| 1196090 | 29 | No | Travel_Frequently | 806 | Maternity | 1 | 4 | Life Sciences | 1 | 2 | Male | 76 | 1 | 1 | Other | 4 | Divorced | 2720 | 18959 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 7 | 2 | 8 | |
| 1202761 | 48 | No | Travel_Rarely | 817 | Cardiology | 2 | 1 | Marketing | 1 | 2 | Male | 56 | 4 | 2 | Nurse | 2 | Married | 8120 | 18597 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 12 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1288214 | 27 | No | Travel_Frequently | 1410 | Cardiology | 3 | 1 | Medical | 1 | 4 | Female | 71 | 4 | 2 | Nurse | 4 | Divorced | 4647 | 16673 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 | |
| 1510616 | 37 | No | Travel_Rarely | 1225 | Maternity | 10 | 2 | Life Sciences | 1 | 4 | Male | 80 | 4 | 1 | Other | 4 | Single | 4680 | 15232 | 3 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1824855 | 50 | No | Travel_Rarely | 1207 | Maternity | 28 | 1 | Medical | 1 | 4 | Male | 74 | 4 | 1 | Nurse | 3 | Married | 3221 | 3297 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 | |
| 1700617 | 34 | No | Travel_Rarely | 1442 | Maternity | 9 | 3 | Medical | 1 | 4 | Female | 46 | 2 | 3 | Nurse | 2 | Single | 8621 | 17654 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 4 | 8 | 7 | 7 | 7 | |
| 1589131 | 24 | No | Travel_Rarely | 693 | Cardiology | 3 | 2 | Life Sciences | 1 | 1 | Female | 65 | 3 | 2 | Nurse | 3 | Single | 4577 | 24785 | 9 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 2 | 0 | |
| 1634766 | 39 | No | Travel_Rarely | 408 | Maternity | 2 | 4 | Technical Degree | 1 | 4 | Female | 80 | 2 | 2 | Nurse | 3 | Single | 4553 | 20978 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 20 | 4 | 3 | 20 | 7 | 11 | 10 | |
| 1248364 | 32 | No | Travel_Rarely | 929 | Cardiology | 10 | 3 | Marketing | 1 | 4 | Male | 55 | 3 | 2 | Nurse | 4 | Single | 5396 | 21703 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 0 | 8 | |
| 1844102 | 50 | No | Travel_Frequently | 562 | Cardiology | 8 | 2 | Technical Degree | 1 | 2 | Male | 50 | 3 | 2 | Nurse | 3 | Married | 6796 | 23452 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 18 | 4 | 3 | 4 | 3 | 1 | 3 | |
| 1180968 | 38 | No | Travel_Rarely | 827 | Maternity | 1 | 4 | Life Sciences | 1 | 2 | Female | 33 | 4 | 2 | Nurse | 4 | Single | 7625 | 19383 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 4 | 2 | 9 | 7 | 1 | 8 | |
| 1705991 | 27 | No | Travel_Rarely | 608 | Neurology | 1 | 2 | Life Sciences | 1 | 3 | Female | 68 | 3 | 3 | Therapist | 1 | Married | 7412 | 6009 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 7 | |
| 1533978 | 32 | No | Travel_Rarely | 1018 | Maternity | 3 | 2 | Life Sciences | 1 | 3 | Female | 39 | 3 | 3 | Administrative | 4 | Single | 11159 | 19373 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 7 | 7 | 7 | 7 | |
| 1838364 | 47 | No | Travel_Rarely | 703 | Cardiology | 14 | 4 | Marketing | 1 | 4 | Male | 42 | 3 | 2 | Nurse | 1 | Single | 4960 | 11825 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 7 | 7 | 1 | 7 | |
| 1886378 | 40 | No | Travel_Frequently | 580 | Cardiology | 5 | 4 | Life Sciences | 1 | 4 | Male | 48 | 2 | 3 | Nurse | 1 | Married | 10475 | 23772 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 20 | 2 | 3 | 18 | 13 | 1 | 12 | |
| 1217160 | 53 | No | Travel_Rarely | 970 | Maternity | 7 | 3 | Life Sciences | 1 | 3 | Male | 59 | 4 | 4 | Administrative | 3 | Married | 14814 | 13514 | 3 | Y | No | 19 | 3 | 3 | 80 | 0 | 32 | 3 | 3 | 5 | 1 | 1 | 3 | |
| 1494989 | 41 | No | Travel_Rarely | 427 | Neurology | 10 | 4 | Human Resources | 1 | 2 | Male | 73 | 2 | 5 | Administrative | 4 | Divorced | 19141 | 8861 | 3 | Y | No | 15 | 3 | 2 | 80 | 3 | 23 | 2 | 2 | 21 | 6 | 12 | 6 | |
| 1180556 | 60 | No | Travel_Rarely | 1179 | Cardiology | 16 | 4 | Marketing | 1 | 1 | Male | 84 | 3 | 2 | Nurse | 1 | Single | 5405 | 11924 | 8 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 1 | 3 | 2 | 2 | 2 | 2 | |
| 1271756 | 27 | No | Travel_Frequently | 294 | Maternity | 10 | 2 | Life Sciences | 1 | 4 | Male | 32 | 3 | 3 | Therapist | 1 | Divorced | 8793 | 4809 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 4 | 2 | 9 | 7 | 1 | 7 | |
| 1786662 | 41 | No | Travel_Rarely | 314 | Neurology | 1 | 3 | Human Resources | 1 | 4 | Male | 59 | 2 | 5 | Administrative | 3 | Married | 19189 | 19562 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 22 | 7 | 2 | 10 | |
| 1713058 | 50 | No | Travel_Rarely | 316 | Cardiology | 8 | 4 | Marketing | 1 | 4 | Male | 54 | 3 | 1 | Other | 2 | Married | 3875 | 9983 | 7 | Y | No | 15 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1879624 | 28 | Yes | Travel_Rarely | 654 | Maternity | 1 | 2 | Life Sciences | 1 | 1 | Female | 67 | 1 | 1 | Other | 2 | Single | 2216 | 3872 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 3 | 7 | 7 | 3 | 7 | |
| 1530315 | 36 | No | Non-Travel | 427 | Maternity | 8 | 3 | Life Sciences | 1 | 1 | Female | 63 | 4 | 3 | Administrative | 1 | Married | 11713 | 20335 | 9 | Y | No | 14 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 8 | 7 | 0 | 5 | |
| 1589247 | 38 | No | Travel_Rarely | 168 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Female | 81 | 3 | 3 | Therapist | 3 | Single | 7861 | 15397 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 1 | 0 | 0 | 0 | |
| 1347933 | 44 | No | Non-Travel | 381 | Maternity | 24 | 3 | Medical | 1 | 1 | Male | 49 | 1 | 1 | Nurse | 3 | Single | 3708 | 2104 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 5 | 3 | 5 | 2 | 1 | 4 | |
| 1031434 | 47 | No | Travel_Frequently | 217 | Cardiology | 3 | 3 | Medical | 1 | 4 | Female | 49 | 3 | 4 | Nurse | 3 | Divorced | 13770 | 10225 | 9 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 28 | 2 | 2 | 22 | 2 | 11 | 13 | |
| 1699255 | 30 | No | Travel_Rarely | 501 | Cardiology | 27 | 5 | Marketing | 1 | 3 | Male | 99 | 3 | 2 | Nurse | 4 | Divorced | 5304 | 25275 | 7 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 2 | 2 | 8 | 7 | 7 | 7 | |
| 1670081 | 29 | No | Travel_Rarely | 1396 | Cardiology | 10 | 3 | Life Sciences | 1 | 3 | Male | 99 | 3 | 1 | Other | 3 | Single | 2642 | 2755 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1542367 | 42 | Yes | Travel_Frequently | 933 | Maternity | 19 | 3 | Medical | 1 | 3 | Male | 57 | 4 | 1 | Other | 3 | Divorced | 2759 | 20366 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1259211 | 43 | No | Travel_Frequently | 775 | Cardiology | 15 | 3 | Life Sciences | 1 | 4 | Male | 47 | 2 | 2 | Nurse | 4 | Married | 6804 | 23683 | 3 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 5 | 3 | 2 | 2 | 2 | 2 | |
| 1758544 | 34 | No | Travel_Rarely | 970 | Maternity | 8 | 2 | Medical | 1 | 2 | Female | 96 | 3 | 2 | Nurse | 3 | Single | 6142 | 7360 | 3 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 5 | 1 | 4 | 3 | |
| 1545288 | 23 | No | Travel_Rarely | 650 | Maternity | 9 | 1 | Medical | 1 | 2 | Male | 37 | 3 | 1 | Nurse | 1 | Married | 2500 | 4344 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 4 | 3 | 0 | 2 | |
| 1121259 | 39 | No | Travel_Rarely | 141 | Neurology | 3 | 3 | Human Resources | 1 | 3 | Female | 44 | 4 | 2 | Other | 2 | Married | 6389 | 18767 | 9 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 1 | 8 | 3 | 3 | 6 | |
| 1126307 | 56 | No | Travel_Rarely | 832 | Maternity | 9 | 3 | Medical | 1 | 3 | Male | 81 | 3 | 4 | Nurse | 4 | Married | 11103 | 20420 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 30 | 1 | 2 | 10 | 7 | 1 | 1 | |
| 1400061 | 40 | No | Travel_Rarely | 804 | Maternity | 2 | 1 | Medical | 1 | 4 | Female | 86 | 2 | 1 | Other | 4 | Single | 2342 | 22929 | 0 | Y | Yes | 20 | 4 | 4 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 2 | 3 | |
| 1855799 | 27 | No | Travel_Rarely | 975 | Maternity | 7 | 3 | Medical | 1 | 4 | Female | 55 | 2 | 2 | Nurse | 1 | Single | 6811 | 23398 | 8 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 2 | 1 | 7 | 6 | 0 | 7 | |
| 1639147 | 29 | No | Travel_Rarely | 1090 | Cardiology | 10 | 3 | Marketing | 1 | 4 | Male | 83 | 3 | 1 | Other | 2 | Divorced | 2297 | 17967 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1446990 | 53 | No | Travel_Rarely | 346 | Maternity | 6 | 3 | Life Sciences | 1 | 4 | Male | 86 | 3 | 2 | Nurse | 4 | Single | 2450 | 10919 | 2 | Y | No | 17 | 3 | 4 | 80 | 0 | 19 | 4 | 3 | 2 | 2 | 2 | 2 | |
| 1446447 | 35 | No | Non-Travel | 1225 | Maternity | 2 | 4 | Life Sciences | 1 | 4 | Female | 61 | 3 | 2 | Nurse | 1 | Divorced | 5093 | 4761 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1729159 | 32 | No | Travel_Frequently | 430 | Maternity | 24 | 4 | Life Sciences | 1 | 1 | Male | 80 | 3 | 2 | Nurse | 4 | Married | 5309 | 21146 | 1 | Y | No | 15 | 3 | 4 | 80 | 2 | 10 | 2 | 3 | 10 | 8 | 4 | 7 | |
| 1808474 | 38 | No | Travel_Rarely | 268 | Maternity | 2 | 5 | Medical | 1 | 4 | Male | 92 | 3 | 1 | Other | 3 | Married | 3057 | 20471 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 6 | 0 | 1 | 1 | 0 | 0 | 1 | |
| 1254029 | 34 | No | Travel_Rarely | 167 | Cardiology | 8 | 5 | Life Sciences | 1 | 2 | Female | 32 | 3 | 2 | Therapist | 1 | Divorced | 5121 | 4187 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1581250 | 52 | No | Travel_Rarely | 621 | Cardiology | 3 | 4 | Marketing | 1 | 3 | Male | 31 | 2 | 4 | Administrative | 1 | Married | 16856 | 10084 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 34 | 3 | 4 | 34 | 6 | 1 | 16 | |
| 1269152 | 33 | Yes | Travel_Rarely | 527 | Maternity | 1 | 4 | Other | 1 | 4 | Male | 63 | 3 | 1 | Other | 4 | Single | 2686 | 5207 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 7 | 8 | |
| 1615430 | 25 | No | Travel_Rarely | 883 | Cardiology | 26 | 1 | Medical | 1 | 3 | Female | 32 | 3 | 2 | Nurse | 4 | Single | 6180 | 22807 | 1 | Y | No | 23 | 4 | 2 | 80 | 0 | 6 | 5 | 2 | 6 | 5 | 1 | 4 | |
| 1186983 | 45 | No | Travel_Rarely | 954 | Cardiology | 2 | 2 | Technical Degree | 1 | 2 | Male | 46 | 1 | 2 | Other | 3 | Single | 6632 | 12388 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 3 | 1 | |
| 1570791 | 23 | No | Travel_Rarely | 310 | Maternity | 10 | 1 | Medical | 1 | 1 | Male | 79 | 4 | 1 | Other | 3 | Single | 3505 | 19630 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 | |
| 1052229 | 47 | Yes | Travel_Frequently | 719 | Cardiology | 27 | 2 | Life Sciences | 1 | 2 | Female | 77 | 4 | 2 | Nurse | 3 | Single | 6397 | 10339 | 4 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 3 | |
| 1551168 | 34 | No | Travel_Rarely | 304 | Cardiology | 2 | 3 | Other | 1 | 4 | Male | 60 | 3 | 2 | Nurse | 4 | Single | 6274 | 18686 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 6 | 5 | 3 | 6 | 5 | 1 | 4 | |
| 1699666 | 55 | Yes | Travel_Rarely | 725 | Neurology | 2 | 3 | Medical | 1 | 4 | Male | 78 | 3 | 5 | Other | 1 | Married | 19859 | 21199 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 2 | 3 | 5 | 2 | 1 | 4 | |
| 1521095 | 36 | No | Non-Travel | 1434 | Cardiology | 8 | 4 | Life Sciences | 1 | 1 | Male | 76 | 2 | 3 | Nurse | 1 | Single | 7587 | 14229 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 1 | 3 | 10 | 7 | 0 | 9 | |
| 1224712 | 52 | No | Non-Travel | 715 | Maternity | 19 | 4 | Medical | 1 | 4 | Male | 41 | 3 | 1 | Other | 4 | Married | 4258 | 26589 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 1 | 2 | |
| 1238998 | 26 | No | Travel_Frequently | 575 | Maternity | 1 | 2 | Life Sciences | 1 | 1 | Female | 71 | 1 | 1 | Nurse | 4 | Divorced | 4364 | 5288 | 3 | Y | No | 14 | 3 | 1 | 80 | 1 | 5 | 2 | 3 | 2 | 2 | 2 | 0 | |
| 1541532 | 29 | No | Travel_Rarely | 657 | Maternity | 27 | 3 | Medical | 1 | 2 | Female | 66 | 3 | 2 | Nurse | 3 | Married | 4335 | 25549 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 11 | 3 | 2 | 8 | 7 | 1 | 1 | |
| 1152345 | 26 | Yes | Travel_Rarely | 1146 | Cardiology | 8 | 3 | Technical Degree | 1 | 4 | Male | 38 | 2 | 2 | Nurse | 1 | Single | 5326 | 3064 | 6 | Y | No | 17 | 3 | 3 | 80 | 0 | 6 | 2 | 2 | 4 | 3 | 1 | 2 | |
| 1830116 | 34 | No | Travel_Rarely | 182 | Maternity | 1 | 4 | Life Sciences | 1 | 2 | Female | 72 | 4 | 1 | Other | 4 | Single | 3280 | 13551 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 4 | 2 | 1 | 3 | |
| 1755563 | 54 | No | Travel_Rarely | 376 | Maternity | 19 | 4 | Medical | 1 | 4 | Female | 95 | 3 | 2 | Therapist | 1 | Divorced | 5485 | 22670 | 9 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 9 | 4 | 3 | 5 | 3 | 1 | 4 | |
| 1660820 | 27 | No | Travel_Frequently | 829 | Cardiology | 8 | 1 | Marketing | 1 | 3 | Male | 84 | 3 | 2 | Nurse | 4 | Married | 4342 | 24008 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 2 | 1 | 1 | |
| 1150067 | 37 | No | Travel_Rarely | 571 | Maternity | 10 | 1 | Life Sciences | 1 | 4 | Female | 82 | 3 | 1 | Other | 1 | Divorced | 2782 | 19905 | 0 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 4 | 3 | |
| 1862559 | 38 | No | Travel_Frequently | 240 | Neurology | 2 | 4 | Life Sciences | 1 | 1 | Female | 75 | 4 | 2 | Therapist | 1 | Single | 5980 | 26085 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 17 | 2 | 3 | 15 | 7 | 4 | 12 | |
| 1107380 | 34 | No | Travel_Rarely | 121 | Maternity | 2 | 4 | Medical | 1 | 3 | Female | 86 | 2 | 1 | Other | 1 | Single | 4381 | 7530 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 1 | 3 | |
| 1734641 | 35 | No | Travel_Rarely | 384 | Cardiology | 8 | 4 | Life Sciences | 1 | 1 | Female | 72 | 3 | 1 | Other | 4 | Married | 2572 | 20317 | 1 | Y | No | 16 | 3 | 2 | 80 | 1 | 3 | 1 | 2 | 3 | 2 | 0 | 2 | |
| 1298935 | 30 | No | Travel_Rarely | 921 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 38 | 1 | 1 | Nurse | 3 | Married | 3833 | 24375 | 3 | Y | No | 21 | 4 | 3 | 80 | 2 | 7 | 2 | 3 | 2 | 2 | 0 | 2 | |
| 1025177 | 40 | No | Travel_Frequently | 791 | Maternity | 2 | 2 | Medical | 1 | 3 | Female | 38 | 4 | 2 | Nurse | 2 | Married | 4244 | 9931 | 1 | Y | No | 24 | 4 | 4 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 3 | 7 | |
| 1546242 | 34 | No | Travel_Rarely | 1111 | Cardiology | 8 | 2 | Life Sciences | 1 | 3 | Female | 93 | 3 | 2 | Nurse | 1 | Married | 6500 | 13305 | 5 | Y | No | 17 | 3 | 2 | 80 | 1 | 6 | 1 | 3 | 3 | 2 | 1 | 2 | |
| 1288565 | 42 | No | Travel_Frequently | 570 | Neurology | 8 | 3 | Life Sciences | 1 | 2 | Male | 66 | 3 | 5 | Other | 4 | Divorced | 18430 | 16225 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 24 | 4 | 2 | 24 | 7 | 14 | 9 | |
| 1572087 | 23 | Yes | Travel_Rarely | 1243 | Maternity | 6 | 3 | Life Sciences | 1 | 3 | Male | 63 | 4 | 1 | Nurse | 1 | Married | 1601 | 3445 | 1 | Y | Yes | 21 | 4 | 3 | 80 | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1451315 | 24 | No | Non-Travel | 1092 | Maternity | 9 | 3 | Life Sciences | 1 | 3 | Male | 60 | 2 | 1 | Nurse | 2 | Divorced | 2694 | 26551 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1755899 | 52 | No | Travel_Rarely | 1325 | Maternity | 11 | 4 | Life Sciences | 1 | 4 | Female | 82 | 3 | 2 | Nurse | 3 | Married | 3149 | 21821 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 4 | |
| 1330421 | 50 | No | Travel_Rarely | 691 | Maternity | 2 | 3 | Medical | 1 | 3 | Male | 64 | 3 | 4 | Administrative | 3 | Married | 17639 | 6881 | 5 | Y | No | 16 | 3 | 4 | 80 | 0 | 30 | 3 | 3 | 4 | 3 | 0 | 3 | |
| 1187355 | 29 | Yes | Travel_Rarely | 805 | Maternity | 1 | 2 | Life Sciences | 1 | 2 | Female | 36 | 2 | 1 | Nurse | 1 | Married | 2319 | 6689 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 0 | |
| 1297416 | 33 | No | Travel_Rarely | 213 | Maternity | 7 | 3 | Medical | 1 | 3 | Male | 49 | 3 | 3 | Administrative | 3 | Married | 11691 | 25995 | 0 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 3 | 4 | 13 | 9 | 3 | 7 | |
| 1161558 | 33 | Yes | Travel_Rarely | 118 | Cardiology | 16 | 3 | Marketing | 1 | 1 | Female | 69 | 3 | 2 | Nurse | 1 | Single | 5324 | 26507 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1069822 | 47 | No | Travel_Rarely | 202 | Neurology | 2 | 2 | Other | 1 | 3 | Female | 33 | 3 | 4 | Other | 4 | Married | 16752 | 12982 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 26 | 3 | 2 | 26 | 14 | 3 | 0 | |
| 1418243 | 36 | No | Travel_Rarely | 676 | Neurology | 1 | 3 | Other | 1 | 3 | Female | 35 | 3 | 2 | Therapist | 2 | Married | 5228 | 23361 | 0 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 0 | 5 | |
| 1312456 | 29 | No | Travel_Rarely | 1252 | Maternity | 23 | 2 | Life Sciences | 1 | 3 | Male | 81 | 4 | 1 | Other | 3 | Married | 2700 | 23779 | 1 | Y | No | 24 | 4 | 3 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 0 | 7 | |
| 1294456 | 58 | Yes | Travel_Rarely | 286 | Maternity | 2 | 4 | Life Sciences | 1 | 4 | Male | 31 | 3 | 5 | Administrative | 2 | Single | 19246 | 25761 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 40 | 2 | 3 | 31 | 15 | 13 | 8 | |
| 1637745 | 35 | No | Travel_Rarely | 1258 | Maternity | 1 | 4 | Life Sciences | 1 | 4 | Female | 40 | 4 | 1 | Other | 3 | Single | 2506 | 13301 | 3 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1307498 | 42 | No | Travel_Rarely | 932 | Neurology | 1 | 2 | Life Sciences | 1 | 4 | Female | 43 | 2 | 2 | Therapist | 4 | Married | 6062 | 4051 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 4 | 3 | 0 | 2 | |
| 1759857 | 28 | No | Travel_Rarely | 890 | Maternity | 2 | 4 | Medical | 1 | 3 | Male | 46 | 3 | 1 | Other | 3 | Single | 4382 | 16374 | 6 | Y | No | 17 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 2 | 2 | 2 | 1 | |
| 1675215 | 36 | No | Travel_Rarely | 1041 | Neurology | 13 | 3 | Human Resources | 1 | 3 | Male | 36 | 3 | 1 | Other | 2 | Married | 2143 | 25527 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 0 | 4 | |
| 1845955 | 32 | No | Travel_Rarely | 859 | Neurology | 4 | 3 | Life Sciences | 1 | 3 | Female | 98 | 2 | 2 | Therapist | 3 | Married | 6162 | 19124 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 14 | 13 | 6 | 8 | |
| 1178013 | 40 | No | Travel_Frequently | 720 | Maternity | 16 | 4 | Medical | 1 | 1 | Male | 51 | 2 | 2 | Nurse | 3 | Single | 5094 | 11983 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1266910 | 30 | No | Travel_Rarely | 946 | Neurology | 2 | 3 | Medical | 1 | 3 | Female | 52 | 2 | 2 | Therapist | 4 | Single | 6877 | 20234 | 5 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 12 | 4 | 2 | 0 | 0 | 0 | 0 | |
| 1643001 | 45 | No | Travel_Rarely | 252 | Maternity | 2 | 3 | Life Sciences | 1 | 2 | Female | 95 | 2 | 1 | Other | 3 | Single | 2274 | 6153 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1804767 | 42 | No | Travel_Rarely | 933 | Maternity | 29 | 3 | Life Sciences | 1 | 2 | Male | 98 | 3 | 2 | Therapist | 2 | Married | 4434 | 11806 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 8 | 7 | 8 | |
| 1686305 | 38 | No | Travel_Frequently | 471 | Maternity | 12 | 3 | Life Sciences | 1 | 1 | Male | 45 | 2 | 2 | Nurse | 1 | Divorced | 6288 | 4284 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 4 | 3 | 1 | 2 | |
| 1375250 | 34 | No | Travel_Frequently | 702 | Maternity | 16 | 4 | Life Sciences | 1 | 3 | Female | 100 | 2 | 1 | Other | 4 | Single | 2553 | 8306 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 1 | 3 | |
| 1744940 | 49 | No | Travel_Rarely | 1184 | Cardiology | 11 | 3 | Marketing | 1 | 3 | Female | 43 | 3 | 3 | Nurse | 4 | Married | 7654 | 5860 | 1 | Y | No | 18 | 3 | 1 | 80 | 2 | 9 | 3 | 4 | 9 | 8 | 7 | 7 | |
| 1545377 | 55 | No | Travel_Rarely | 436 | Cardiology | 2 | 1 | Medical | 1 | 3 | Male | 37 | 3 | 2 | Nurse | 4 | Single | 5160 | 21519 | 4 | Y | No | 16 | 3 | 3 | 80 | 0 | 12 | 3 | 2 | 9 | 7 | 7 | 3 | |
| 1282527 | 43 | No | Travel_Rarely | 589 | Maternity | 14 | 2 | Life Sciences | 1 | 2 | Male | 94 | 3 | 4 | Administrative | 1 | Married | 17159 | 5200 | 6 | Y | No | 24 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 4 | 1 | 1 | 0 | |
| 1266242 | 27 | No | Travel_Rarely | 269 | Maternity | 5 | 1 | Technical Degree | 1 | 3 | Male | 42 | 2 | 3 | Administrative | 4 | Divorced | 12808 | 8842 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 0 | 8 | |
| 1668361 | 35 | No | Travel_Rarely | 950 | Neurology | 7 | 3 | Other | 1 | 3 | Male | 59 | 3 | 3 | Therapist | 3 | Single | 10221 | 18869 | 3 | Y | No | 21 | 4 | 2 | 80 | 0 | 17 | 3 | 4 | 8 | 5 | 1 | 6 | |
| 1574775 | 28 | No | Travel_Rarely | 760 | Cardiology | 2 | 4 | Marketing | 1 | 2 | Female | 81 | 3 | 2 | Nurse | 2 | Married | 4779 | 3698 | 1 | Y | Yes | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 7 | 5 | |
| 1822365 | 34 | No | Travel_Rarely | 829 | Neurology | 3 | 2 | Human Resources | 1 | 3 | Male | 88 | 3 | 1 | Other | 4 | Married | 3737 | 2243 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 4 | 1 | 1 | 3 | 2 | 0 | 2 | |
| 1082176 | 26 | Yes | Travel_Frequently | 887 | Maternity | 5 | 2 | Medical | 1 | 3 | Female | 88 | 2 | 1 | Other | 3 | Married | 2366 | 20898 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 1 | 7 | |
| 1415673 | 27 | No | Non-Travel | 443 | Maternity | 3 | 3 | Medical | 1 | 4 | Male | 50 | 3 | 1 | Other | 4 | Married | 1706 | 16571 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 0 | 6 | 2 | 0 | 0 | 0 | 0 | |
| 1455518 | 51 | No | Travel_Rarely | 1318 | Cardiology | 26 | 4 | Marketing | 1 | 1 | Female | 66 | 3 | 4 | Administrative | 3 | Married | 16307 | 5594 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 20 | 6 | 4 | 17 | |
| 1117532 | 44 | No | Travel_Rarely | 625 | Maternity | 4 | 3 | Medical | 1 | 4 | Male | 50 | 3 | 2 | Nurse | 2 | Single | 5933 | 5197 | 9 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 5 | 2 | 2 | 3 | |
| 1450149 | 25 | No | Travel_Rarely | 180 | Maternity | 2 | 1 | Medical | 1 | 1 | Male | 65 | 4 | 1 | Other | 1 | Single | 3424 | 21632 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 4 | 3 | 0 | 1 | |
| 1826341 | 33 | No | Travel_Rarely | 586 | Cardiology | 1 | 3 | Medical | 1 | 1 | Male | 48 | 4 | 2 | Nurse | 1 | Divorced | 4037 | 21816 | 1 | Y | No | 22 | 4 | 1 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 0 | 8 | |
| 1276016 | 35 | No | Travel_Rarely | 1343 | Maternity | 27 | 1 | Medical | 1 | 3 | Female | 53 | 2 | 1 | Other | 1 | Single | 2559 | 17852 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 1 | |
| 1193450 | 36 | No | Travel_Rarely | 928 | Cardiology | 1 | 2 | Life Sciences | 1 | 2 | Male | 56 | 3 | 2 | Nurse | 4 | Married | 6201 | 2823 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 18 | 1 | 2 | 18 | 14 | 4 | 11 | |
| 1119237 | 32 | No | Travel_Rarely | 117 | Cardiology | 13 | 4 | Life Sciences | 1 | 2 | Male | 73 | 3 | 2 | Nurse | 4 | Divorced | 4403 | 9250 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 8 | 3 | 2 | 5 | 2 | 0 | 3 | |
| 1077496 | 30 | No | Travel_Frequently | 1012 | Maternity | 5 | 4 | Life Sciences | 1 | 2 | Male | 75 | 2 | 1 | Other | 4 | Divorced | 3761 | 2373 | 9 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 3 | |
| 1689022 | 53 | No | Travel_Rarely | 661 | Cardiology | 7 | 2 | Marketing | 1 | 1 | Female | 78 | 2 | 3 | Nurse | 4 | Married | 10934 | 20715 | 7 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 35 | 3 | 3 | 5 | 2 | 0 | 4 | |
| 1580740 | 45 | No | Travel_Rarely | 930 | Cardiology | 9 | 3 | Marketing | 1 | 4 | Male | 74 | 3 | 3 | Nurse | 1 | Divorced | 10761 | 19239 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 5 | 4 | 0 | 2 | |
| 1214731 | 32 | No | Travel_Rarely | 638 | Maternity | 8 | 2 | Medical | 1 | 3 | Female | 91 | 4 | 2 | Other | 3 | Married | 5175 | 22162 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 5 | 3 | 1 | 3 | |
| 1501967 | 52 | No | Travel_Frequently | 890 | Maternity | 25 | 4 | Medical | 1 | 3 | Female | 81 | 2 | 4 | Therapist | 4 | Married | 13826 | 19028 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 31 | 3 | 3 | 9 | 8 | 0 | 0 | |
| 1659259 | 37 | No | Travel_Rarely | 342 | Cardiology | 16 | 4 | Marketing | 1 | 4 | Male | 66 | 2 | 2 | Nurse | 3 | Divorced | 6334 | 24558 | 4 | Y | No | 19 | 3 | 4 | 80 | 2 | 9 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1851689 | 28 | No | Travel_Rarely | 1169 | Neurology | 8 | 2 | Medical | 1 | 2 | Male | 63 | 2 | 1 | Other | 4 | Divorced | 4936 | 23965 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 6 | 6 | 3 | 5 | 1 | 0 | 4 | |
| 1578894 | 22 | No | Travel_Rarely | 1230 | Neurology | 1 | 2 | Life Sciences | 1 | 4 | Male | 33 | 2 | 2 | Therapist | 4 | Married | 4775 | 19146 | 6 | Y | No | 22 | 4 | 1 | 80 | 2 | 4 | 2 | 1 | 2 | 2 | 2 | 2 | |
| 1147768 | 44 | No | Travel_Rarely | 986 | Maternity | 8 | 4 | Life Sciences | 1 | 1 | Male | 62 | 4 | 1 | Nurse | 4 | Married | 2818 | 5044 | 2 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 10 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1341422 | 42 | No | Travel_Frequently | 1271 | Maternity | 2 | 1 | Medical | 1 | 2 | Male | 35 | 3 | 1 | Other | 4 | Single | 2515 | 9068 | 5 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 1 | 2 | 2 | |
| 1524503 | 36 | No | Travel_Rarely | 1278 | Neurology | 8 | 3 | Life Sciences | 1 | 1 | Male | 77 | 2 | 1 | Other | 1 | Married | 2342 | 8635 | 0 | Y | No | 21 | 4 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 4 | 0 | 3 | |
| 1643524 | 25 | No | Travel_Rarely | 141 | Cardiology | 3 | 1 | Other | 1 | 3 | Male | 98 | 3 | 2 | Nurse | 1 | Married | 4194 | 14363 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 3 | |
| 1330630 | 35 | No | Travel_Rarely | 607 | Maternity | 9 | 3 | Life Sciences | 1 | 4 | Female | 66 | 2 | 3 | Therapist | 3 | Married | 10685 | 23457 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 17 | 2 | 3 | 17 | 14 | 5 | 15 | |
| 1050771 | 35 | Yes | Travel_Frequently | 130 | Maternity | 25 | 4 | Life Sciences | 1 | 4 | Female | 96 | 3 | 1 | Other | 2 | Divorced | 2022 | 16612 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 2 | 7 | 8 | |
| 1864456 | 32 | No | Non-Travel | 300 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 61 | 3 | 1 | Nurse | 4 | Divorced | 2314 | 9148 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 0 | 0 | 2 | |
| 1252375 | 25 | No | Travel_Rarely | 583 | Cardiology | 4 | 1 | Marketing | 1 | 3 | Male | 87 | 2 | 2 | Nurse | 1 | Married | 4256 | 18154 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 5 | 1 | 4 | 5 | 2 | 0 | 3 | |
| 1127921 | 49 | No | Travel_Rarely | 1418 | Maternity | 1 | 3 | Technical Degree | 1 | 3 | Female | 36 | 3 | 1 | Other | 1 | Married | 3580 | 10554 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 4 | 2 | 0 | 2 | |
| 1122784 | 24 | No | Non-Travel | 1269 | Maternity | 4 | 1 | Life Sciences | 1 | 1 | Male | 46 | 2 | 1 | Nurse | 4 | Married | 3162 | 10778 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 5 | 2 | 3 | 4 | |
| 1767740 | 32 | No | Travel_Frequently | 379 | Cardiology | 5 | 2 | Life Sciences | 1 | 2 | Male | 48 | 3 | 2 | Nurse | 2 | Married | 6524 | 8891 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 8 | 5 | 3 | |
| 1740909 | 38 | No | Travel_Rarely | 395 | Cardiology | 9 | 3 | Marketing | 1 | 2 | Male | 98 | 2 | 1 | Other | 2 | Married | 2899 | 12102 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 3 | 3 | 3 | 2 | 2 | 1 | 2 | |
| 1395500 | 42 | No | Travel_Rarely | 1265 | Maternity | 3 | 3 | Life Sciences | 1 | 3 | Female | 95 | 4 | 2 | Nurse | 4 | Married | 5231 | 23726 | 2 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 17 | 1 | 2 | 5 | 3 | 1 | 3 | |
| 1253827 | 31 | No | Travel_Rarely | 1222 | Maternity | 11 | 4 | Life Sciences | 1 | 4 | Male | 48 | 3 | 1 | Other | 4 | Married | 2356 | 14871 | 3 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 6 | 4 | 0 | 2 | |
| 1329687 | 29 | Yes | Travel_Rarely | 341 | Cardiology | 1 | 3 | Medical | 1 | 2 | Female | 48 | 2 | 1 | Other | 3 | Divorced | 2800 | 23522 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 3 | 5 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1221211 | 53 | No | Travel_Rarely | 868 | Cardiology | 8 | 3 | Marketing | 1 | 1 | Male | 73 | 3 | 4 | Nurse | 4 | Married | 11836 | 22789 | 5 | Y | No | 14 | 3 | 3 | 80 | 1 | 28 | 3 | 3 | 2 | 0 | 2 | 2 | |
| 1731227 | 35 | No | Travel_Rarely | 672 | Maternity | 25 | 3 | Technical Degree | 1 | 4 | Male | 78 | 2 | 3 | Therapist | 2 | Married | 10903 | 9129 | 3 | Y | No | 16 | 3 | 1 | 80 | 0 | 16 | 2 | 3 | 13 | 10 | 4 | 8 | |
| 1716658 | 37 | No | Travel_Frequently | 1231 | Cardiology | 21 | 2 | Medical | 1 | 3 | Female | 54 | 3 | 1 | Other | 4 | Married | 2973 | 21222 | 5 | Y | No | 15 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 5 | 4 | 0 | 0 | |
| 1856275 | 53 | No | Travel_Rarely | 102 | Maternity | 23 | 4 | Life Sciences | 1 | 4 | Female | 72 | 3 | 4 | Administrative | 4 | Single | 14275 | 20206 | 6 | Y | No | 18 | 3 | 3 | 80 | 0 | 33 | 0 | 3 | 12 | 9 | 3 | 8 | |
| 1780189 | 43 | No | Travel_Frequently | 422 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Female | 33 | 3 | 2 | Nurse | 4 | Married | 5562 | 21782 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 2 | 5 | 2 | 2 | 2 | |
| 1662886 | 47 | No | Travel_Rarely | 249 | Cardiology | 2 | 2 | Marketing | 1 | 3 | Female | 35 | 3 | 2 | Nurse | 4 | Married | 4537 | 17783 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 1 | 8 | 2 | 3 | 7 | 6 | 7 | 7 | |
| 1455944 | 37 | No | Non-Travel | 1252 | Cardiology | 19 | 2 | Medical | 1 | 1 | Male | 32 | 3 | 3 | Nurse | 2 | Single | 7642 | 4814 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 0 | 0 | 9 | |
| 1597875 | 50 | No | Non-Travel | 881 | Neurology | 2 | 4 | Life Sciences | 1 | 1 | Male | 98 | 3 | 4 | Other | 1 | Divorced | 17924 | 4544 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 31 | 3 | 3 | 31 | 6 | 14 | 7 | |
| 1514580 | 39 | No | Travel_Rarely | 1383 | Neurology | 2 | 3 | Life Sciences | 1 | 4 | Female | 42 | 2 | 2 | Other | 4 | Married | 5204 | 7790 | 8 | Y | No | 11 | 3 | 3 | 80 | 2 | 13 | 2 | 3 | 5 | 4 | 0 | 4 | |
| 1457833 | 33 | No | Travel_Rarely | 1075 | Neurology | 3 | 2 | Human Resources | 1 | 4 | Male | 57 | 3 | 1 | Other | 2 | Divorced | 2277 | 22650 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 7 | 4 | 4 | 4 | 3 | 0 | 3 | |
| 1406364 | 32 | Yes | Travel_Rarely | 374 | Maternity | 25 | 4 | Life Sciences | 1 | 1 | Male | 87 | 3 | 1 | Nurse | 4 | Single | 2795 | 18016 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 1 | |
| 1574807 | 29 | No | Travel_Rarely | 1086 | Maternity | 7 | 1 | Medical | 1 | 1 | Female | 62 | 2 | 1 | Nurse | 4 | Divorced | 2532 | 6054 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 4 | 3 | 0 | 3 | |
| 1423464 | 44 | No | Travel_Rarely | 661 | Maternity | 9 | 2 | Life Sciences | 1 | 2 | Male | 61 | 3 | 1 | Other | 1 | Married | 2559 | 7508 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 1 | |
| 1592499 | 28 | No | Travel_Rarely | 821 | Cardiology | 5 | 4 | Medical | 1 | 1 | Male | 98 | 3 | 2 | Nurse | 4 | Single | 4908 | 24252 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 2 | 0 | 2 | |
| 1870106 | 58 | Yes | Travel_Frequently | 781 | Maternity | 2 | 1 | Life Sciences | 1 | 4 | Male | 57 | 2 | 1 | Nurse | 4 | Divorced | 2380 | 13384 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1860698 | 43 | No | Travel_Rarely | 177 | Cardiology | 8 | 3 | Life Sciences | 1 | 1 | Female | 55 | 3 | 2 | Therapist | 2 | Divorced | 4765 | 23814 | 4 | Y | No | 21 | 4 | 3 | 80 | 1 | 4 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1334434 | 20 | Yes | Travel_Rarely | 500 | Cardiology | 2 | 3 | Medical | 1 | 3 | Female | 49 | 2 | 1 | Other | 3 | Single | 2044 | 22052 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 0 | 2 | |
| 1657594 | 21 | Yes | Travel_Rarely | 1427 | Maternity | 18 | 1 | Other | 1 | 4 | Female | 65 | 3 | 1 | Other | 4 | Single | 2693 | 8870 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1497902 | 36 | No | Travel_Rarely | 1425 | Maternity | 14 | 1 | Life Sciences | 1 | 3 | Male | 68 | 3 | 2 | Nurse | 4 | Married | 6586 | 4821 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 16 | 8 | 4 | 11 | |
| 1289682 | 47 | No | Travel_Rarely | 1454 | Cardiology | 2 | 4 | Life Sciences | 1 | 4 | Female | 65 | 2 | 1 | Other | 4 | Single | 3294 | 13137 | 1 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 1 | 2 | |
| 1185964 | 22 | No | Travel_Rarely | 617 | Neurology | 3 | 1 | Life Sciences | 1 | 2 | Female | 34 | 3 | 2 | Therapist | 3 | Married | 4171 | 10022 | 0 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 4 | 3 | 4 | 3 | 2 | 0 | 2 | |
| 1179676 | 41 | Yes | Travel_Rarely | 1085 | Maternity | 2 | 4 | Life Sciences | 1 | 2 | Female | 57 | 1 | 1 | Nurse | 4 | Divorced | 2778 | 17725 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 1 | 2 | 7 | 7 | 1 | 0 | |
| 1034373 | 28 | No | Travel_Rarely | 995 | Maternity | 9 | 3 | Medical | 1 | 3 | Female | 77 | 3 | 1 | Other | 3 | Divorced | 2377 | 9834 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1126499 | 39 | Yes | Travel_Rarely | 1122 | Maternity | 6 | 3 | Medical | 1 | 4 | Male | 70 | 3 | 1 | Nurse | 1 | Married | 2404 | 4303 | 7 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 8 | 2 | 1 | 2 | 2 | 2 | 2 | |
| 1334359 | 27 | No | Travel_Rarely | 618 | Maternity | 4 | 3 | Life Sciences | 1 | 2 | Female | 76 | 3 | 1 | Other | 3 | Single | 2318 | 17808 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 1 | 2 | 3 | 1 | 1 | 0 | 0 | |
| 1254150 | 34 | No | Travel_Rarely | 546 | Maternity | 10 | 3 | Life Sciences | 1 | 2 | Male | 83 | 3 | 1 | Nurse | 2 | Divorced | 2008 | 6896 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 1 | 0 | |
| 1206644 | 42 | No | Travel_Rarely | 462 | Cardiology | 14 | 2 | Medical | 1 | 3 | Female | 68 | 2 | 2 | Nurse | 3 | Single | 6244 | 7824 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 6 | 3 | 5 | 4 | 0 | 3 | |
| 1766963 | 33 | No | Travel_Rarely | 1198 | Maternity | 1 | 4 | Other | 1 | 3 | Male | 100 | 2 | 1 | Other | 1 | Single | 2799 | 3339 | 3 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 3 | 2 | 0 | 2 | |
| 1795081 | 58 | No | Travel_Rarely | 1272 | Maternity | 5 | 3 | Technical Degree | 1 | 3 | Female | 37 | 2 | 3 | Nurse | 2 | Divorced | 10552 | 9255 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 3 | 3 | 6 | 0 | 0 | 4 | |
| 1213565 | 31 | No | Travel_Rarely | 154 | Cardiology | 7 | 4 | Life Sciences | 1 | 2 | Male | 41 | 2 | 1 | Other | 3 | Married | 2329 | 11737 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 13 | 2 | 4 | 7 | 7 | 5 | 2 | |
| 1416487 | 35 | No | Travel_Rarely | 1137 | Maternity | 21 | 1 | Life Sciences | 1 | 4 | Female | 51 | 3 | 2 | Nurse | 4 | Married | 4014 | 19170 | 1 | Y | Yes | 25 | 4 | 4 | 80 | 1 | 10 | 2 | 1 | 10 | 6 | 0 | 7 | |
| 1314640 | 49 | No | Travel_Rarely | 527 | Maternity | 8 | 2 | Other | 1 | 1 | Female | 51 | 3 | 3 | Nurse | 2 | Married | 7403 | 22477 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 29 | 3 | 2 | 26 | 9 | 1 | 7 | |
| 1186466 | 48 | No | Travel_Rarely | 1469 | Maternity | 20 | 4 | Medical | 1 | 4 | Male | 51 | 3 | 1 | Other | 3 | Married | 2259 | 5543 | 4 | Y | No | 17 | 3 | 1 | 80 | 2 | 13 | 2 | 2 | 0 | 0 | 0 | 0 | |
| 1749032 | 31 | No | Non-Travel | 1188 | Cardiology | 20 | 2 | Marketing | 1 | 4 | Female | 45 | 3 | 2 | Nurse | 3 | Married | 6932 | 24406 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 2 | 2 | 9 | 8 | 0 | 0 | |
| 1674536 | 36 | No | Travel_Rarely | 188 | Maternity | 7 | 4 | Other | 1 | 2 | Male | 65 | 3 | 1 | Other | 4 | Single | 4678 | 23293 | 2 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 6 | 3 | 6 | 2 | 0 | 1 | |
| 1327078 | 38 | No | Travel_Rarely | 1333 | Maternity | 1 | 3 | Technical Degree | 1 | 4 | Female | 80 | 3 | 3 | Administrative | 1 | Married | 13582 | 16292 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 12 | 5 | 11 | |
| 1738679 | 32 | No | Non-Travel | 1184 | Maternity | 1 | 3 | Life Sciences | 1 | 3 | Female | 70 | 2 | 1 | Nurse | 2 | Married | 2332 | 3974 | 6 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 3 | 3 | 0 | 0 | 2 | |
| 1117151 | 25 | Yes | Travel_Rarely | 867 | Cardiology | 19 | 2 | Marketing | 1 | 3 | Male | 36 | 2 | 1 | Other | 2 | Married | 2413 | 18798 | 1 | Y | Yes | 18 | 3 | 3 | 80 | 3 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1732657 | 40 | No | Travel_Rarely | 658 | Cardiology | 10 | 4 | Marketing | 1 | 1 | Male | 67 | 2 | 3 | Nurse | 2 | Divorced | 9705 | 20652 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 11 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1840229 | 26 | No | Travel_Frequently | 1283 | Cardiology | 1 | 3 | Medical | 1 | 3 | Male | 52 | 2 | 2 | Nurse | 1 | Single | 4294 | 11148 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 | |
| 1179217 | 41 | No | Travel_Rarely | 263 | Maternity | 6 | 3 | Medical | 1 | 4 | Male | 59 | 3 | 1 | Nurse | 1 | Single | 4721 | 3119 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 20 | 3 | 3 | 18 | 13 | 2 | 17 | |
| 1612583 | 36 | No | Travel_Rarely | 938 | Maternity | 2 | 4 | Medical | 1 | 3 | Male | 79 | 3 | 1 | Nurse | 3 | Single | 2519 | 12287 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 16 | 6 | 3 | 11 | 8 | 3 | 9 | |
| 1115854 | 19 | Yes | Travel_Rarely | 419 | Cardiology | 21 | 3 | Other | 1 | 4 | Male | 37 | 2 | 1 | Other | 2 | Single | 2121 | 9947 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1306693 | 20 | Yes | Travel_Rarely | 129 | Maternity | 4 | 3 | Technical Degree | 1 | 1 | Male | 84 | 3 | 1 | Nurse | 1 | Single | 2973 | 13008 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1142961 | 31 | No | Travel_Rarely | 616 | Maternity | 12 | 3 | Medical | 1 | 4 | Female | 41 | 3 | 2 | Nurse | 4 | Married | 5855 | 17369 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 10 | 2 | 1 | 9 | 7 | 8 | 5 | |
| 1578228 | 40 | No | Travel_Frequently | 1469 | Maternity | 9 | 4 | Medical | 1 | 4 | Male | 35 | 3 | 1 | Other | 2 | Divorced | 3617 | 25063 | 8 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 1 | 1 | 0 | 0 | |
| 1607811 | 32 | No | Travel_Rarely | 498 | Neurology | 3 | 4 | Medical | 1 | 3 | Female | 93 | 3 | 2 | Therapist | 1 | Married | 6725 | 13554 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 2 | 4 | 8 | 7 | 6 | 3 | |
| 1157826 | 36 | No | Travel_Rarely | 530 | Cardiology | 3 | 1 | Life Sciences | 1 | 3 | Male | 51 | 2 | 3 | Nurse | 4 | Married | 10325 | 5518 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 16 | 6 | 3 | 16 | 7 | 3 | 7 | |
| 1863388 | 33 | No | Travel_Rarely | 1069 | Maternity | 1 | 3 | Life Sciences | 1 | 2 | Female | 42 | 2 | 2 | Nurse | 4 | Single | 6949 | 12291 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 4 | |
| 1818424 | 37 | Yes | Travel_Rarely | 625 | Cardiology | 1 | 4 | Life Sciences | 1 | 1 | Male | 46 | 2 | 3 | Nurse | 3 | Married | 10609 | 14922 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 17 | 2 | 1 | 14 | 1 | 11 | 7 | |
| 1707397 | 45 | No | Non-Travel | 805 | Maternity | 4 | 2 | Life Sciences | 1 | 3 | Male | 57 | 3 | 2 | Nurse | 2 | Married | 4447 | 23163 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 9 | 7 | 0 | 8 | |
| 1742953 | 29 | No | Travel_Frequently | 1404 | Cardiology | 20 | 3 | Technical Degree | 1 | 3 | Female | 84 | 3 | 1 | Other | 4 | Married | 2157 | 18203 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 5 | 3 | 3 | 1 | 0 | 2 | |
| 1416528 | 35 | No | Travel_Rarely | 1219 | Cardiology | 18 | 3 | Medical | 1 | 3 | Female | 86 | 3 | 2 | Nurse | 3 | Married | 4601 | 6179 | 1 | Y | No | 16 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 2 | 1 | 0 | |
| 1376209 | 52 | No | Travel_Rarely | 1053 | Neurology | 1 | 2 | Life Sciences | 1 | 4 | Male | 70 | 3 | 4 | Other | 4 | Married | 17099 | 13829 | 2 | Y | No | 15 | 3 | 2 | 80 | 1 | 26 | 2 | 2 | 9 | 8 | 7 | 8 | |
| 1238813 | 58 | No | Travel_Rarely | 289 | Maternity | 2 | 3 | Technical Degree | 1 | 4 | Male | 51 | 3 | 1 | Other | 3 | Single | 2479 | 26227 | 4 | Y | No | 24 | 4 | 1 | 80 | 0 | 7 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1715239 | 53 | No | Travel_Rarely | 1376 | Cardiology | 2 | 2 | Medical | 1 | 3 | Male | 45 | 3 | 4 | Administrative | 3 | Divorced | 14852 | 13938 | 6 | Y | No | 13 | 3 | 3 | 80 | 1 | 22 | 3 | 4 | 17 | 13 | 15 | 2 | |
| 1688979 | 30 | No | Travel_Rarely | 231 | Cardiology | 8 | 2 | Other | 1 | 3 | Male | 62 | 3 | 3 | Nurse | 3 | Divorced | 7264 | 9977 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 8 | 4 | 7 | 7 | |
| 1297623 | 38 | No | Non-Travel | 152 | Cardiology | 10 | 3 | Technical Degree | 1 | 3 | Female | 85 | 3 | 2 | Nurse | 4 | Single | 5666 | 19899 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 5 | 3 | 1 | 3 | |
| 1685947 | 35 | No | Travel_Rarely | 882 | Cardiology | 3 | 4 | Life Sciences | 1 | 4 | Male | 92 | 3 | 3 | Nurse | 4 | Divorced | 7823 | 6812 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 0 | 8 | |
| 1785279 | 39 | No | Travel_Rarely | 903 | Cardiology | 2 | 5 | Life Sciences | 1 | 1 | Male | 41 | 4 | 3 | Nurse | 3 | Single | 7880 | 2560 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 0 | 7 | |
| 1378606 | 40 | Yes | Non-Travel | 1479 | Cardiology | 24 | 3 | Life Sciences | 1 | 2 | Female | 100 | 4 | 4 | Nurse | 2 | Single | 13194 | 17071 | 4 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1118201 | 47 | No | Travel_Frequently | 1379 | Maternity | 16 | 4 | Medical | 1 | 3 | Male | 64 | 4 | 2 | Therapist | 3 | Divorced | 5067 | 6759 | 1 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 20 | 3 | 4 | 19 | 10 | 2 | 7 | |
| 1866341 | 36 | No | Non-Travel | 1229 | Cardiology | 8 | 4 | Technical Degree | 1 | 1 | Male | 84 | 3 | 2 | Nurse | 4 | Divorced | 5079 | 25952 | 4 | Y | No | 13 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 7 | 7 | 0 | 7 | |
| 1649317 | 31 | Yes | Non-Travel | 335 | Maternity | 9 | 2 | Medical | 1 | 3 | Male | 46 | 2 | 1 | Other | 1 | Single | 2321 | 10322 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 4 | 0 | 3 | 3 | 2 | 1 | 2 | |
| 1281310 | 33 | No | Non-Travel | 722 | Cardiology | 17 | 3 | Life Sciences | 1 | 4 | Male | 38 | 3 | 4 | Administrative | 3 | Single | 17444 | 20489 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 6 | 0 | |
| 1658398 | 29 | Yes | Travel_Rarely | 906 | Maternity | 10 | 3 | Life Sciences | 1 | 4 | Female | 92 | 2 | 1 | Other | 1 | Single | 2404 | 11479 | 6 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 3 | 5 | 3 | 0 | 0 | 0 | 0 | |
| 1462108 | 33 | No | Travel_Rarely | 461 | Maternity | 13 | 1 | Life Sciences | 1 | 2 | Female | 53 | 3 | 1 | Other | 4 | Single | 3452 | 17241 | 3 | Y | No | 18 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 3 | 2 | 0 | 2 | |
| 1790357 | 45 | No | Travel_Rarely | 974 | Maternity | 1 | 4 | Medical | 1 | 4 | Female | 91 | 3 | 1 | Nurse | 4 | Divorced | 2270 | 11005 | 3 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 3 | 5 | 3 | 0 | 2 | |
| 1752868 | 50 | No | Travel_Rarely | 1126 | Maternity | 1 | 2 | Medical | 1 | 4 | Male | 66 | 3 | 4 | Administrative | 4 | Divorced | 17399 | 6615 | 9 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 1 | 2 | 5 | 4 | 1 | 3 | |
| 1324348 | 33 | No | Travel_Frequently | 827 | Maternity | 1 | 4 | Other | 1 | 3 | Female | 84 | 4 | 2 | Nurse | 2 | Married | 5488 | 20161 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 6 | 2 | 3 | 6 | 5 | 1 | 2 | |
| 1576599 | 41 | No | Travel_Frequently | 840 | Maternity | 9 | 3 | Medical | 1 | 1 | Male | 64 | 3 | 5 | Administrative | 3 | Divorced | 19419 | 3735 | 2 | Y | No | 17 | 3 | 2 | 80 | 1 | 21 | 2 | 4 | 18 | 16 | 0 | 11 | |
| 1381113 | 27 | No | Travel_Rarely | 1134 | Maternity | 16 | 4 | Technical Degree | 1 | 3 | Female | 37 | 3 | 1 | Nurse | 2 | Married | 2811 | 12086 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1591865 | 45 | No | Non-Travel | 248 | Maternity | 23 | 2 | Life Sciences | 1 | 4 | Male | 42 | 3 | 2 | Nurse | 1 | Married | 3633 | 14039 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 0 | 8 | |
| 1321447 | 47 | No | Travel_Rarely | 955 | Cardiology | 4 | 2 | Life Sciences | 1 | 4 | Female | 83 | 3 | 2 | Nurse | 4 | Single | 4163 | 8571 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 9 | 0 | 3 | 9 | 0 | 0 | 7 | |
| 1034220 | 30 | Yes | Travel_Rarely | 138 | Maternity | 22 | 3 | Life Sciences | 1 | 1 | Female | 48 | 3 | 1 | Other | 3 | Married | 2132 | 11539 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 5 | 2 | 0 | 1 | |
| 1359967 | 50 | No | Travel_Rarely | 939 | Maternity | 24 | 3 | Life Sciences | 1 | 4 | Male | 95 | 3 | 4 | Therapist | 3 | Married | 13973 | 4161 | 3 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 22 | 2 | 3 | 12 | 11 | 1 | 5 | |
| 1662076 | 38 | No | Travel_Frequently | 1391 | Maternity | 10 | 1 | Medical | 1 | 3 | Male | 66 | 3 | 1 | Other | 3 | Married | 2684 | 12127 | 0 | Y | No | 17 | 3 | 2 | 80 | 1 | 3 | 0 | 2 | 2 | 1 | 0 | 2 | |
| 1555678 | 46 | No | Travel_Rarely | 566 | Neurology | 7 | 2 | Medical | 1 | 4 | Male | 75 | 3 | 3 | Therapist | 3 | Divorced | 10845 | 24208 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 8 | 7 | 0 | 7 | |
| 1071870 | 24 | No | Travel_Rarely | 1206 | Maternity | 17 | 1 | Medical | 1 | 4 | Female | 41 | 2 | 2 | Therapist | 3 | Divorced | 4377 | 24117 | 1 | Y | No | 15 | 3 | 2 | 80 | 2 | 5 | 6 | 3 | 4 | 2 | 3 | 2 | |
| 1690577 | 35 | Yes | Travel_Rarely | 622 | Maternity | 14 | 4 | Other | 1 | 3 | Male | 39 | 2 | 1 | Nurse | 2 | Divorced | 3743 | 10074 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 1 | 5 | 2 | 1 | 4 | 2 | 0 | 2 | |
| 1109596 | 31 | No | Travel_Frequently | 853 | Neurology | 1 | 1 | Life Sciences | 1 | 3 | Female | 96 | 3 | 2 | Therapist | 1 | Married | 4148 | 11275 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 1 | 3 | 4 | 3 | 0 | 3 | |
| 1483743 | 18 | No | Non-Travel | 287 | Maternity | 5 | 2 | Life Sciences | 1 | 2 | Male | 73 | 3 | 1 | Other | 4 | Single | 1051 | 13493 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1100306 | 54 | No | Travel_Rarely | 1441 | Maternity | 17 | 3 | Technical Degree | 1 | 3 | Female | 56 | 3 | 3 | Therapist | 3 | Married | 10739 | 13943 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 22 | 2 | 3 | 10 | 7 | 0 | 8 | |
| 1667869 | 35 | No | Travel_Rarely | 583 | Maternity | 25 | 4 | Medical | 1 | 3 | Female | 57 | 3 | 3 | Nurse | 3 | Divorced | 10388 | 6975 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 16 | 3 | 2 | 16 | 10 | 10 | 1 | |
| 1079832 | 30 | No | Travel_Rarely | 153 | Maternity | 8 | 2 | Life Sciences | 1 | 2 | Female | 73 | 4 | 3 | Administrative | 1 | Married | 11416 | 17802 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 9 | 4 | 2 | 8 | 7 | 1 | 7 | |
| 1236529 | 20 | Yes | Travel_Rarely | 1097 | Maternity | 11 | 3 | Medical | 1 | 4 | Female | 98 | 2 | 1 | Other | 1 | Single | 2600 | 18275 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1233733 | 30 | No | Travel_Frequently | 109 | Maternity | 5 | 3 | Medical | 1 | 2 | Female | 60 | 3 | 1 | Nurse | 2 | Single | 2422 | 25725 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1824641 | 26 | No | Travel_Rarely | 1066 | Neurology | 2 | 2 | Medical | 1 | 4 | Male | 32 | 4 | 2 | Therapist | 4 | Married | 5472 | 3334 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 1 | 3 | |
| 1559236 | 22 | No | Travel_Rarely | 217 | Maternity | 8 | 1 | Life Sciences | 1 | 2 | Male | 94 | 1 | 1 | Nurse | 1 | Married | 2451 | 6881 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 1 | 1 | |
| 1362920 | 48 | No | Travel_Rarely | 277 | Maternity | 6 | 3 | Life Sciences | 1 | 1 | Male | 97 | 2 | 2 | Nurse | 3 | Single | 4240 | 13119 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 19 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1374656 | 48 | No | Travel_Rarely | 1355 | Maternity | 4 | 4 | Life Sciences | 1 | 3 | Male | 78 | 2 | 3 | Nurse | 3 | Single | 10999 | 22245 | 7 | Y | No | 14 | 3 | 2 | 80 | 0 | 27 | 3 | 3 | 15 | 11 | 4 | 8 | |
| 1541429 | 41 | No | Travel_Rarely | 549 | Cardiology | 7 | 2 | Medical | 1 | 4 | Female | 42 | 3 | 2 | Therapist | 3 | Single | 5003 | 23371 | 6 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 3 | 2 | 2 | 2 | 1 | |
| 1383639 | 27 | No | Travel_Rarely | 1055 | Neurology | 2 | 4 | Life Sciences | 1 | 1 | Female | 47 | 3 | 2 | Therapist | 4 | Married | 4227 | 4658 | 0 | Y | No | 18 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1631280 | 35 | No | Travel_Rarely | 802 | Maternity | 10 | 3 | Other | 1 | 2 | Male | 45 | 3 | 1 | Nurse | 4 | Divorced | 3917 | 9541 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 3 | 4 | 2 | 3 | 2 | 1 | 2 | |
| 1212094 | 42 | No | Travel_Rarely | 265 | Cardiology | 5 | 2 | Marketing | 1 | 4 | Male | 90 | 3 | 5 | Administrative | 3 | Married | 18303 | 7770 | 6 | Y | No | 13 | 3 | 2 | 80 | 0 | 21 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1509823 | 50 | No | Travel_Rarely | 804 | Maternity | 9 | 3 | Life Sciences | 1 | 1 | Male | 64 | 3 | 1 | Nurse | 4 | Married | 2380 | 20165 | 4 | Y | No | 18 | 3 | 2 | 80 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1297098 | 59 | No | Travel_Rarely | 715 | Neurology | 2 | 3 | Life Sciences | 1 | 3 | Female | 69 | 2 | 4 | Therapist | 4 | Single | 13726 | 21829 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 30 | 4 | 3 | 5 | 3 | 4 | 3 | |
| 1664278 | 37 | Yes | Travel_Rarely | 1141 | Maternity | 11 | 2 | Medical | 1 | 1 | Female | 61 | 1 | 2 | Nurse | 2 | Married | 4777 | 14382 | 5 | Y | No | 15 | 3 | 1 | 80 | 0 | 15 | 2 | 1 | 1 | 0 | 0 | 0 | |
| 1316661 | 55 | No | Travel_Frequently | 135 | Maternity | 18 | 4 | Medical | 1 | 3 | Male | 62 | 3 | 2 | Nurse | 2 | Married | 6385 | 12992 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 17 | 3 | 3 | 8 | 7 | 6 | 7 | |
| 1633200 | 41 | No | Non-Travel | 247 | Maternity | 7 | 1 | Life Sciences | 1 | 2 | Female | 55 | 1 | 5 | Administrative | 3 | Divorced | 19973 | 20284 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 21 | 3 | 3 | 21 | 16 | 5 | 10 | |
| 1480769 | 38 | No | Travel_Rarely | 1035 | Cardiology | 3 | 4 | Life Sciences | 1 | 2 | Male | 42 | 3 | 2 | Nurse | 4 | Single | 6861 | 4981 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 19 | 1 | 3 | 1 | 0 | 0 | 0 | |
| 1665250 | 26 | Yes | Non-Travel | 265 | Cardiology | 29 | 2 | Medical | 1 | 2 | Male | 79 | 1 | 2 | Nurse | 1 | Single | 4969 | 21813 | 8 | Y | No | 18 | 3 | 4 | 80 | 0 | 7 | 6 | 3 | 2 | 2 | 2 | 2 | |
| 1476575 | 52 | No | Travel_Rarely | 266 | Cardiology | 2 | 1 | Marketing | 1 | 1 | Female | 57 | 1 | 5 | Administrative | 4 | Married | 19845 | 25846 | 1 | Y | No | 15 | 3 | 4 | 80 | 1 | 33 | 3 | 3 | 32 | 14 | 6 | 9 | |
| 1580401 | 44 | No | Travel_Rarely | 1448 | Cardiology | 28 | 3 | Medical | 1 | 4 | Female | 53 | 4 | 4 | Nurse | 4 | Married | 13320 | 11737 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 23 | 2 | 3 | 12 | 11 | 11 | 11 | |
| 1735028 | 50 | No | Non-Travel | 145 | Cardiology | 1 | 3 | Life Sciences | 1 | 4 | Female | 95 | 3 | 2 | Nurse | 3 | Married | 6347 | 24920 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 19 | 3 | 3 | 18 | 7 | 0 | 13 | |
| 1330619 | 36 | No | Travel_Rarely | 885 | Maternity | 16 | 4 | Life Sciences | 1 | 3 | Female | 43 | 4 | 1 | Nurse | 1 | Single | 2743 | 8269 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 18 | 1 | 3 | 17 | 13 | 15 | 14 | |
| 1142212 | 39 | No | Travel_Frequently | 945 | Maternity | 22 | 3 | Medical | 1 | 4 | Female | 82 | 3 | 3 | Therapist | 1 | Single | 10880 | 5083 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 2 | 8 | |
| 1239925 | 33 | No | Non-Travel | 1038 | Cardiology | 8 | 1 | Life Sciences | 1 | 2 | Female | 88 | 2 | 1 | Other | 4 | Single | 2342 | 21437 | 0 | Y | No | 19 | 3 | 4 | 80 | 0 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | |
| 1477537 | 45 | No | Travel_Rarely | 1234 | Cardiology | 11 | 2 | Life Sciences | 1 | 4 | Female | 90 | 3 | 4 | Administrative | 4 | Married | 17650 | 5404 | 3 | Y | No | 13 | 3 | 2 | 80 | 1 | 26 | 4 | 4 | 9 | 3 | 1 | 1 | |
| 1404854 | 32 | No | Non-Travel | 1109 | Maternity | 29 | 4 | Medical | 1 | 4 | Female | 69 | 3 | 1 | Nurse | 3 | Single | 4025 | 11135 | 9 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 7 | 7 | |
| 1401928 | 34 | No | Travel_Rarely | 216 | Cardiology | 1 | 4 | Marketing | 1 | 2 | Male | 75 | 4 | 2 | Nurse | 4 | Divorced | 9725 | 12278 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 16 | 2 | 2 | 15 | 1 | 0 | 9 | |
| 1041678 | 59 | No | Travel_Rarely | 1089 | Cardiology | 1 | 2 | Technical Degree | 1 | 2 | Male | 66 | 3 | 3 | Administrative | 4 | Married | 11904 | 11038 | 3 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 14 | 1 | 1 | 6 | 4 | 0 | 4 | |
| 1568634 | 45 | No | Travel_Rarely | 788 | Neurology | 24 | 4 | Medical | 1 | 2 | Male | 36 | 3 | 1 | Other | 2 | Single | 2177 | 8318 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 3 | 0 | 4 | |
| 1763986 | 53 | No | Travel_Frequently | 124 | Cardiology | 2 | 3 | Marketing | 1 | 3 | Female | 38 | 2 | 3 | Nurse | 2 | Married | 7525 | 23537 | 2 | Y | No | 12 | 3 | 1 | 80 | 1 | 30 | 2 | 3 | 15 | 7 | 6 | 12 | |
| 1721556 | 36 | No | Travel_Rarely | 660 | Maternity | 15 | 3 | Other | 1 | 1 | Male | 81 | 3 | 2 | Nurse | 3 | Divorced | 4834 | 7858 | 7 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1631537 | 26 | Yes | Travel_Frequently | 342 | Maternity | 2 | 3 | Life Sciences | 1 | 1 | Male | 57 | 3 | 1 | Other | 1 | Married | 2042 | 15346 | 6 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1277508 | 34 | No | Travel_Rarely | 1333 | Cardiology | 10 | 4 | Life Sciences | 1 | 3 | Female | 87 | 3 | 1 | Other | 3 | Married | 2220 | 18410 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 1 | 0 | 0 | |
| 1873017 | 28 | No | Travel_Rarely | 1144 | Cardiology | 10 | 1 | Medical | 1 | 4 | Male | 74 | 3 | 1 | Other | 2 | Married | 1052 | 23384 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1776541 | 38 | No | Travel_Frequently | 1186 | Maternity | 3 | 4 | Other | 1 | 3 | Male | 44 | 3 | 1 | Other | 3 | Married | 2821 | 2997 | 3 | Y | No | 16 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1545738 | 50 | No | Travel_Rarely | 1464 | Maternity | 2 | 4 | Medical | 1 | 2 | Male | 62 | 3 | 5 | Administrative | 3 | Married | 19237 | 12853 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 8 | 1 | 7 | 7 | |
| 1775055 | 37 | No | Travel_Rarely | 124 | Maternity | 3 | 3 | Other | 1 | 4 | Female | 35 | 3 | 2 | Nurse | 2 | Single | 4107 | 13848 | 3 | Y | No | 15 | 3 | 1 | 80 | 0 | 8 | 3 | 2 | 4 | 3 | 0 | 1 | |
| 1087619 | 40 | No | Travel_Rarely | 300 | Cardiology | 26 | 3 | Marketing | 1 | 3 | Male | 74 | 3 | 2 | Nurse | 1 | Married | 8396 | 22217 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 7 | 7 | 7 | 5 | |
| 1409664 | 26 | No | Travel_Frequently | 921 | Maternity | 1 | 1 | Medical | 1 | 1 | Female | 66 | 2 | 1 | Other | 3 | Divorced | 2007 | 25265 | 1 | Y | No | 13 | 3 | 3 | 80 | 2 | 5 | 5 | 3 | 5 | 3 | 1 | 3 | |
| 1206462 | 46 | No | Travel_Rarely | 430 | Maternity | 1 | 4 | Medical | 1 | 4 | Male | 40 | 3 | 5 | Administrative | 4 | Divorced | 19627 | 21445 | 9 | Y | No | 17 | 3 | 4 | 80 | 2 | 23 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1431621 | 54 | No | Travel_Rarely | 1082 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Female | 41 | 2 | 3 | Nurse | 3 | Married | 10686 | 8392 | 6 | Y | No | 11 | 3 | 2 | 80 | 1 | 13 | 4 | 3 | 9 | 4 | 7 | 0 | |
| 1045879 | 56 | No | Travel_Frequently | 1240 | Maternity | 9 | 3 | Medical | 1 | 1 | Female | 63 | 3 | 1 | Other | 3 | Married | 2942 | 12154 | 2 | Y | No | 19 | 3 | 2 | 80 | 1 | 18 | 4 | 3 | 5 | 4 | 0 | 3 | |
| 1619652 | 36 | No | Travel_Rarely | 796 | Maternity | 12 | 5 | Medical | 1 | 4 | Female | 51 | 2 | 3 | Therapist | 4 | Single | 8858 | 15669 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 14 | 8 | 7 | 8 | |
| 1828114 | 55 | No | Non-Travel | 444 | Neurology | 2 | 1 | Medical | 1 | 3 | Male | 40 | 2 | 4 | Other | 1 | Single | 16756 | 17323 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 31 | 3 | 4 | 9 | 7 | 6 | 2 | |
| 1128254 | 43 | No | Travel_Rarely | 415 | Cardiology | 25 | 3 | Medical | 1 | 3 | Male | 79 | 2 | 3 | Nurse | 4 | Divorced | 10798 | 5268 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 18 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1084699 | 20 | Yes | Travel_Frequently | 769 | Cardiology | 9 | 3 | Marketing | 1 | 4 | Female | 54 | 3 | 1 | Other | 4 | Single | 2323 | 17205 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 | |
| 1343829 | 21 | Yes | Travel_Rarely | 1334 | Maternity | 10 | 3 | Life Sciences | 1 | 3 | Female | 36 | 2 | 1 | Nurse | 1 | Single | 1416 | 17258 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 1 | 6 | 2 | 1 | 0 | 1 | 0 | |
| 1603378 | 46 | No | Travel_Rarely | 1003 | Maternity | 8 | 4 | Life Sciences | 1 | 4 | Female | 74 | 2 | 2 | Other | 1 | Divorced | 4615 | 21029 | 8 | Y | Yes | 23 | 4 | 1 | 80 | 3 | 19 | 2 | 3 | 16 | 13 | 1 | 7 | |
| 1720881 | 51 | No | Travel_Rarely | 1323 | Maternity | 4 | 4 | Life Sciences | 1 | 1 | Male | 34 | 3 | 1 | Other | 3 | Married | 2461 | 10332 | 9 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 18 | 2 | 4 | 10 | 0 | 2 | 7 | |
| 1748251 | 28 | No | Non-Travel | 1366 | Maternity | 24 | 2 | Technical Degree | 1 | 2 | Male | 72 | 2 | 3 | Nurse | 1 | Single | 8722 | 12355 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 1 | 9 | |
| 1740472 | 26 | No | Travel_Rarely | 192 | Maternity | 1 | 2 | Medical | 1 | 1 | Male | 59 | 2 | 1 | Nurse | 1 | Married | 3955 | 11141 | 1 | Y | No | 16 | 3 | 1 | 80 | 2 | 6 | 2 | 3 | 5 | 3 | 1 | 3 | |
| 1825779 | 30 | No | Travel_Rarely | 1176 | Maternity | 20 | 3 | Other | 1 | 3 | Male | 85 | 3 | 2 | Therapist | 1 | Married | 9957 | 9096 | 0 | Y | No | 15 | 3 | 3 | 80 | 1 | 7 | 1 | 2 | 6 | 2 | 0 | 2 | |
| 1221286 | 41 | No | Travel_Rarely | 509 | Maternity | 7 | 2 | Technical Degree | 1 | 2 | Female | 43 | 4 | 1 | Other | 3 | Married | 3376 | 18863 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 10 | 6 | 0 | 8 | |
| 1595168 | 38 | No | Travel_Rarely | 330 | Maternity | 17 | 1 | Life Sciences | 1 | 3 | Female | 65 | 2 | 3 | Nurse | 3 | Married | 8823 | 24608 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 20 | 4 | 2 | 19 | 9 | 1 | 9 | |
| 1317075 | 40 | No | Travel_Rarely | 1492 | Maternity | 20 | 4 | Technical Degree | 1 | 1 | Male | 61 | 3 | 3 | Nurse | 4 | Married | 10322 | 26542 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 14 | 6 | 3 | 11 | 10 | 11 | 1 | |
| 1169735 | 27 | No | Non-Travel | 1277 | Maternity | 8 | 5 | Life Sciences | 1 | 1 | Male | 87 | 1 | 1 | Nurse | 3 | Married | 4621 | 5869 | 1 | Y | No | 19 | 3 | 4 | 80 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1818130 | 55 | No | Travel_Frequently | 1091 | Neurology | 2 | 1 | Life Sciences | 1 | 4 | Male | 65 | 3 | 3 | Therapist | 2 | Married | 10976 | 15813 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 23 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1467266 | 28 | No | Travel_Rarely | 857 | Maternity | 10 | 3 | Other | 1 | 3 | Female | 59 | 3 | 2 | Other | 3 | Single | 3660 | 7909 | 3 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 8 | 7 | 1 | 7 | |
| 1242796 | 44 | No | Travel_Rarely | 1376 | Neurology | 1 | 2 | Medical | 1 | 2 | Male | 91 | 2 | 3 | Other | 1 | Married | 10482 | 2326 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 1 | 3 | 20 | 6 | 3 | 6 | |
| 1116632 | 33 | No | Travel_Rarely | 654 | Maternity | 5 | 3 | Life Sciences | 1 | 4 | Male | 34 | 2 | 3 | Nurse | 4 | Divorced | 7119 | 21214 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1338800 | 35 | Yes | Travel_Rarely | 1204 | Cardiology | 4 | 3 | Technical Degree | 1 | 4 | Male | 86 | 3 | 3 | Nurse | 1 | Single | 9582 | 10333 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 9 | 2 | 3 | 8 | 7 | 4 | 7 | |
| 1823713 | 33 | No | Travel_Frequently | 827 | Maternity | 29 | 4 | Medical | 1 | 1 | Female | 54 | 2 | 2 | Other | 3 | Single | 4508 | 3129 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 14 | 4 | 3 | 13 | 7 | 3 | 8 | |
| 1461105 | 28 | No | Travel_Rarely | 895 | Maternity | 15 | 2 | Life Sciences | 1 | 1 | Male | 50 | 3 | 1 | Nurse | 3 | Divorced | 2207 | 22482 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 5 | 2 | 4 | 2 | 2 | 2 | |
| 1714672 | 34 | No | Travel_Frequently | 618 | Maternity | 3 | 1 | Life Sciences | 1 | 1 | Male | 45 | 3 | 2 | Nurse | 4 | Single | 7756 | 22266 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 0 | 4 | |
| 1264321 | 37 | No | Travel_Rarely | 309 | Cardiology | 10 | 4 | Life Sciences | 1 | 4 | Female | 88 | 2 | 2 | Nurse | 4 | Divorced | 6694 | 24223 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1570590 | 25 | No | Travel_Rarely | 1219 | Maternity | 4 | 1 | Technical Degree | 1 | 4 | Male | 32 | 3 | 1 | Nurse | 4 | Married | 3691 | 4605 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 1 | 7 | 3 | 4 | 7 | 7 | 5 | 6 | |
| 1417598 | 26 | Yes | Travel_Rarely | 1330 | Maternity | 21 | 3 | Medical | 1 | 1 | Male | 37 | 3 | 1 | Nurse | 3 | Divorced | 2377 | 19373 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | |
| 1875940 | 33 | Yes | Travel_Rarely | 1017 | Maternity | 25 | 3 | Medical | 1 | 1 | Male | 55 | 2 | 1 | Other | 2 | Single | 2313 | 2993 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 5 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1815487 | 42 | No | Travel_Rarely | 469 | Neurology | 2 | 2 | Medical | 1 | 4 | Male | 35 | 3 | 4 | Other | 1 | Married | 17665 | 14399 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 22 | 6 | 13 | 7 | |
| 1364682 | 28 | No | Travel_Frequently | 1009 | Maternity | 1 | 3 | Medical | 1 | 1 | Male | 45 | 2 | 1 | Nurse | 2 | Divorced | 2596 | 7160 | 1 | Y | No | 15 | 3 | 1 | 80 | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1150498 | 50 | No | Travel_Frequently | 959 | Cardiology | 1 | 4 | Other | 1 | 4 | Male | 81 | 3 | 2 | Nurse | 3 | Single | 4728 | 17251 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 5 | 4 | 3 | 0 | 0 | 0 | 0 | |
| 1446684 | 33 | No | Travel_Frequently | 970 | Cardiology | 7 | 3 | Life Sciences | 1 | 4 | Female | 30 | 3 | 2 | Nurse | 2 | Married | 4302 | 13401 | 0 | Y | No | 17 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1852842 | 34 | No | Non-Travel | 697 | Maternity | 3 | 4 | Life Sciences | 1 | 3 | Male | 40 | 2 | 1 | Other | 4 | Married | 2979 | 22478 | 3 | Y | No | 17 | 3 | 4 | 80 | 3 | 6 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1554886 | 48 | No | Non-Travel | 1262 | Neurology | 1 | 4 | Medical | 1 | 1 | Male | 35 | 4 | 4 | Other | 4 | Single | 16885 | 16154 | 2 | Y | No | 22 | 4 | 3 | 80 | 0 | 27 | 3 | 2 | 5 | 4 | 2 | 1 | |
| 1454712 | 45 | No | Non-Travel | 1050 | Cardiology | 9 | 4 | Life Sciences | 1 | 2 | Female | 65 | 2 | 2 | Nurse | 3 | Married | 5593 | 17970 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 15 | 2 | 3 | 15 | 10 | 4 | 12 | |
| 1212693 | 52 | No | Travel_Rarely | 994 | Maternity | 7 | 4 | Life Sciences | 1 | 2 | Male | 87 | 3 | 3 | Nurse | 2 | Single | 10445 | 15322 | 7 | Y | No | 19 | 3 | 4 | 80 | 0 | 18 | 4 | 3 | 8 | 6 | 4 | 0 | |
| 1312769 | 38 | No | Travel_Rarely | 770 | Cardiology | 10 | 4 | Marketing | 1 | 3 | Male | 73 | 2 | 3 | Nurse | 3 | Divorced | 8740 | 5569 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 3 | 8 | 7 | 2 | 7 | |
| 1601148 | 29 | No | Travel_Rarely | 1107 | Maternity | 28 | 4 | Life Sciences | 1 | 3 | Female | 93 | 3 | 1 | Other | 4 | Divorced | 2514 | 26968 | 4 | Y | No | 22 | 4 | 1 | 80 | 1 | 11 | 1 | 3 | 7 | 5 | 1 | 7 | |
| 1133211 | 28 | No | Travel_Rarely | 950 | Neurology | 3 | 3 | Medical | 1 | 4 | Female | 93 | 3 | 3 | Therapist | 2 | Divorced | 7655 | 8039 | 0 | Y | No | 17 | 3 | 2 | 80 | 3 | 10 | 3 | 2 | 9 | 7 | 1 | 7 | |
| 1856618 | 46 | No | Travel_Rarely | 406 | Cardiology | 3 | 1 | Marketing | 1 | 1 | Male | 52 | 3 | 4 | Administrative | 3 | Married | 17465 | 15596 | 3 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 12 | 9 | 4 | 9 | |
| 1042408 | 38 | No | Travel_Rarely | 130 | Cardiology | 2 | 2 | Marketing | 1 | 4 | Male | 32 | 3 | 3 | Nurse | 2 | Single | 7351 | 20619 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1789769 | 43 | No | Travel_Frequently | 1082 | Maternity | 27 | 3 | Life Sciences | 1 | 3 | Female | 83 | 3 | 3 | Therapist | 1 | Married | 10820 | 11535 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 1 | 3 | 8 | 7 | 0 | 1 | |
| 1440393 | 39 | No | Travel_Frequently | 203 | Maternity | 2 | 3 | Life Sciences | 1 | 1 | Male | 84 | 3 | 4 | Nurse | 4 | Divorced | 12169 | 13547 | 7 | Y | No | 11 | 3 | 4 | 80 | 3 | 21 | 4 | 3 | 18 | 7 | 11 | 5 | |
| 1091520 | 40 | No | Travel_Rarely | 1308 | Maternity | 14 | 3 | Medical | 1 | 3 | Male | 44 | 2 | 5 | Administrative | 3 | Single | 19626 | 17544 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 21 | 2 | 4 | 20 | 7 | 4 | 9 | |
| 1818532 | 21 | Yes | Travel_Rarely | 984 | Maternity | 1 | 1 | Technical Degree | 1 | 4 | Female | 70 | 2 | 1 | Other | 2 | Single | 2070 | 25326 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 2 | 6 | 4 | 2 | 2 | 2 | 2 | |
| 1292995 | 39 | No | Non-Travel | 439 | Maternity | 9 | 3 | Life Sciences | 1 | 3 | Male | 70 | 3 | 2 | Nurse | 2 | Single | 6782 | 8770 | 9 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 2 | 2 | 5 | 4 | 0 | 3 | |
| 1522372 | 36 | No | Non-Travel | 217 | Maternity | 18 | 4 | Life Sciences | 1 | 1 | Male | 78 | 3 | 2 | Therapist | 4 | Single | 7779 | 23238 | 2 | Y | No | 20 | 4 | 1 | 80 | 0 | 18 | 0 | 3 | 11 | 9 | 0 | 9 | |
| 1308397 | 31 | No | Travel_Frequently | 793 | Cardiology | 20 | 3 | Life Sciences | 1 | 3 | Male | 67 | 4 | 1 | Other | 4 | Married | 2791 | 21981 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 3 | 4 | 3 | 2 | 2 | 2 | 2 | |
| 1138410 | 28 | No | Travel_Rarely | 1451 | Maternity | 2 | 1 | Life Sciences | 1 | 1 | Male | 67 | 2 | 1 | Other | 2 | Married | 3201 | 19911 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 6 | 2 | 1 | 5 | 3 | 0 | 4 | |
| 1752889 | 35 | No | Travel_Frequently | 1182 | Cardiology | 11 | 2 | Marketing | 1 | 4 | Male | 54 | 3 | 2 | Nurse | 4 | Divorced | 4968 | 18500 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 5 | 3 | 3 | 5 | 2 | 0 | 2 | |
| 1425897 | 49 | No | Travel_Rarely | 174 | Cardiology | 8 | 4 | Technical Degree | 1 | 4 | Male | 56 | 2 | 4 | Nurse | 2 | Married | 13120 | 11879 | 6 | Y | No | 17 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 9 | 8 | 2 | 3 | |
| 1719792 | 34 | No | Travel_Frequently | 1003 | Neurology | 2 | 2 | Life Sciences | 1 | 4 | Male | 95 | 3 | 2 | Therapist | 3 | Single | 4033 | 15834 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 3 | 2 | 0 | 2 | |
| 1377897 | 29 | No | Travel_Frequently | 490 | Maternity | 10 | 3 | Life Sciences | 1 | 4 | Female | 61 | 3 | 1 | Other | 2 | Divorced | 3291 | 17940 | 0 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 2 | 7 | 5 | 1 | 1 | |
| 1692477 | 42 | No | Travel_Rarely | 188 | Maternity | 29 | 3 | Medical | 1 | 2 | Male | 56 | 1 | 2 | Nurse | 4 | Single | 4272 | 9558 | 4 | Y | No | 19 | 3 | 1 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1618530 | 29 | No | Travel_Rarely | 718 | Maternity | 8 | 1 | Medical | 1 | 2 | Male | 79 | 2 | 2 | Therapist | 4 | Married | 5056 | 17689 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 1 | 2 | |
| 1619491 | 38 | No | Travel_Rarely | 433 | Neurology | 1 | 3 | Human Resources | 1 | 3 | Male | 37 | 4 | 1 | Other | 3 | Married | 2844 | 6004 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 7 | 2 | 4 | 7 | 6 | 5 | 0 | |
| 1321732 | 28 | No | Travel_Frequently | 773 | Maternity | 6 | 3 | Life Sciences | 1 | 3 | Male | 39 | 2 | 1 | Other | 3 | Divorced | 2703 | 22088 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 | |
| 1313694 | 18 | Yes | Non-Travel | 247 | Maternity | 8 | 1 | Medical | 1 | 3 | Male | 80 | 3 | 1 | Nurse | 3 | Single | 1904 | 13556 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | |
| 1140608 | 33 | Yes | Travel_Rarely | 603 | Cardiology | 9 | 4 | Marketing | 1 | 1 | Female | 77 | 3 | 2 | Nurse | 1 | Single | 8224 | 18385 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 0 | 3 | |
| 1190899 | 41 | No | Travel_Rarely | 167 | Maternity | 12 | 4 | Life Sciences | 1 | 2 | Male | 46 | 3 | 1 | Nurse | 4 | Married | 4766 | 9051 | 3 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1131723 | 31 | No | Travel_Frequently | 874 | Maternity | 15 | 3 | Medical | 1 | 3 | Male | 72 | 3 | 1 | Nurse | 3 | Married | 2610 | 6233 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 | |
| 1066655 | 37 | No | Travel_Rarely | 367 | Maternity | 25 | 2 | Medical | 1 | 3 | Female | 52 | 2 | 2 | Nurse | 4 | Divorced | 5731 | 17171 | 7 | Y | No | 13 | 3 | 3 | 80 | 2 | 9 | 2 | 3 | 6 | 2 | 1 | 3 | |
| 1061785 | 27 | No | Travel_Rarely | 199 | Maternity | 6 | 3 | Life Sciences | 1 | 4 | Male | 55 | 2 | 1 | Other | 3 | Married | 2539 | 7950 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 4 | 0 | 3 | 4 | 2 | 2 | 2 | |
| 1745568 | 34 | No | Travel_Rarely | 1400 | Cardiology | 9 | 1 | Life Sciences | 1 | 2 | Female | 70 | 3 | 2 | Nurse | 3 | Married | 5714 | 5829 | 1 | Y | No | 20 | 4 | 1 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 3 | |
| 1034814 | 35 | No | Travel_Rarely | 528 | Neurology | 8 | 4 | Technical Degree | 1 | 3 | Male | 100 | 3 | 1 | Other | 3 | Single | 4323 | 7108 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 6 | 2 | 1 | 5 | 4 | 1 | 4 | |
| 1778989 | 29 | Yes | Travel_Rarely | 408 | Cardiology | 23 | 1 | Life Sciences | 1 | 4 | Female | 45 | 2 | 3 | Nurse | 1 | Married | 7336 | 11162 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 11 | 3 | 1 | 11 | 8 | 3 | 10 | |
| 1452385 | 40 | No | Travel_Frequently | 593 | Maternity | 9 | 4 | Medical | 1 | 2 | Female | 88 | 3 | 3 | Administrative | 3 | Single | 13499 | 13782 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 20 | 3 | 2 | 18 | 7 | 2 | 13 | |
| 1513386 | 42 | No | Travel_Frequently | 481 | Cardiology | 12 | 3 | Life Sciences | 1 | 3 | Male | 44 | 3 | 4 | Nurse | 1 | Single | 13758 | 2447 | 0 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 22 | 2 | 2 | 21 | 9 | 13 | 14 | |
| 1812528 | 42 | No | Travel_Rarely | 647 | Cardiology | 4 | 4 | Marketing | 1 | 2 | Male | 45 | 3 | 2 | Nurse | 1 | Single | 5155 | 2253 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 3 | 4 | 6 | 4 | 1 | 5 | |
| 1479961 | 35 | No | Travel_Rarely | 982 | Maternity | 1 | 4 | Medical | 1 | 4 | Male | 58 | 2 | 1 | Nurse | 3 | Married | 2258 | 16340 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 8 | 0 | 1 | 7 | |
| 1446497 | 24 | No | Travel_Rarely | 477 | Maternity | 24 | 3 | Medical | 1 | 4 | Male | 49 | 3 | 1 | Nurse | 2 | Single | 3597 | 6409 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 | |
| 1340549 | 28 | Yes | Travel_Rarely | 1485 | Maternity | 12 | 1 | Life Sciences | 1 | 3 | Female | 79 | 3 | 1 | Nurse | 4 | Married | 2515 | 22955 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 4 | 2 | 1 | 1 | 0 | 0 | |
| 1588632 | 26 | No | Travel_Rarely | 1384 | Maternity | 3 | 4 | Medical | 1 | 1 | Male | 82 | 4 | 1 | Nurse | 4 | Married | 4420 | 13421 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 0 | 7 | |
| 1499676 | 30 | No | Travel_Rarely | 852 | Cardiology | 10 | 3 | Marketing | 1 | 3 | Male | 72 | 2 | 2 | Nurse | 3 | Married | 6578 | 2706 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 3 | 1 | 4 | |
| 1849677 | 40 | No | Travel_Frequently | 902 | Maternity | 26 | 2 | Medical | 1 | 3 | Female | 92 | 2 | 2 | Other | 4 | Married | 4422 | 21203 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 16 | 3 | 1 | 1 | 1 | 0 | 0 | |
| 1209446 | 35 | No | Travel_Rarely | 819 | Neurology | 2 | 3 | Life Sciences | 1 | 3 | Male | 44 | 2 | 3 | Therapist | 2 | Divorced | 10274 | 19588 | 2 | Y | No | 18 | 3 | 2 | 80 | 1 | 15 | 2 | 4 | 7 | 7 | 6 | 4 | |
| 1098841 | 34 | No | Travel_Frequently | 669 | Maternity | 1 | 3 | Medical | 1 | 4 | Male | 97 | 2 | 2 | Nurse | 1 | Single | 5343 | 25755 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 14 | 3 | 3 | 13 | 9 | 4 | 9 | |
| 1871555 | 35 | No | Travel_Frequently | 636 | Maternity | 4 | 4 | Other | 1 | 4 | Male | 47 | 2 | 1 | Nurse | 4 | Married | 2376 | 26537 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 2 | 2 | 4 | 2 | 2 | 2 | 2 | |
| 1405213 | 43 | Yes | Travel_Rarely | 1372 | Cardiology | 9 | 3 | Marketing | 1 | 1 | Female | 85 | 1 | 2 | Nurse | 3 | Single | 5346 | 9489 | 8 | Y | No | 13 | 3 | 2 | 80 | 0 | 7 | 2 | 2 | 4 | 3 | 1 | 3 | |
| 1089994 | 32 | No | Non-Travel | 862 | Cardiology | 2 | 1 | Life Sciences | 1 | 3 | Female | 76 | 3 | 1 | Other | 1 | Divorced | 2827 | 14947 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1710657 | 56 | No | Travel_Rarely | 718 | Neurology | 4 | 4 | Technical Degree | 1 | 4 | Female | 92 | 3 | 5 | Other | 1 | Divorced | 19943 | 18575 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 28 | 2 | 3 | 5 | 2 | 4 | 2 | |
| 1511393 | 29 | No | Travel_Rarely | 1401 | Maternity | 6 | 1 | Medical | 1 | 2 | Female | 54 | 3 | 1 | Nurse | 4 | Married | 3131 | 26342 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 5 | 3 | 10 | 8 | 0 | 8 | |
| 1542698 | 19 | No | Travel_Rarely | 645 | Maternity | 9 | 2 | Life Sciences | 1 | 3 | Male | 54 | 3 | 1 | Other | 1 | Single | 2552 | 7172 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 0 | 0 | |
| 1764148 | 45 | No | Travel_Rarely | 1457 | Maternity | 7 | 3 | Medical | 1 | 1 | Female | 83 | 3 | 1 | Other | 3 | Married | 4477 | 20100 | 4 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1334983 | 37 | No | Travel_Rarely | 977 | Neurology | 1 | 3 | Life Sciences | 1 | 4 | Female | 56 | 2 | 2 | Therapist | 4 | Married | 6474 | 9961 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 14 | 8 | 3 | 11 | |
| 1713700 | 20 | Yes | Travel_Rarely | 805 | Maternity | 3 | 3 | Life Sciences | 1 | 1 | Male | 87 | 2 | 1 | Nurse | 3 | Single | 3033 | 12828 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 2 | 2 | 2 | 2 | 2 | 1 | 2 | |
| 1476340 | 44 | Yes | Travel_Rarely | 1097 | Maternity | 10 | 4 | Life Sciences | 1 | 3 | Male | 96 | 3 | 1 | Other | 3 | Single | 2936 | 10826 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 4 | 3 | 6 | 4 | 0 | 2 | |
| 1795477 | 53 | No | Travel_Rarely | 1223 | Neurology | 7 | 2 | Medical | 1 | 4 | Female | 50 | 3 | 5 | Other | 3 | Divorced | 18606 | 18640 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 26 | 6 | 3 | 7 | 7 | 4 | 7 | |
| 1500784 | 29 | Yes | Travel_Rarely | 942 | Maternity | 15 | 1 | Life Sciences | 1 | 2 | Female | 69 | 1 | 1 | Other | 4 | Married | 2168 | 26933 | 0 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 5 | 4 | 1 | 3 | |
| 1455048 | 22 | Yes | Travel_Frequently | 1256 | Maternity | 3 | 4 | Life Sciences | 1 | 3 | Male | 48 | 2 | 1 | Other | 4 | Married | 2853 | 4223 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 | |
| 1123335 | 46 | No | Travel_Rarely | 1402 | Cardiology | 2 | 3 | Marketing | 1 | 3 | Female | 69 | 3 | 4 | Administrative | 1 | Married | 17048 | 24097 | 8 | Y | No | 23 | 4 | 1 | 80 | 0 | 28 | 2 | 3 | 26 | 15 | 15 | 9 | |
| 1285566 | 44 | No | Non-Travel | 111 | Maternity | 17 | 3 | Life Sciences | 1 | 4 | Male | 74 | 1 | 1 | Other | 3 | Single | 2290 | 4279 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1279649 | 33 | No | Travel_Rarely | 147 | Neurology | 2 | 3 | Human Resources | 1 | 2 | Male | 99 | 3 | 1 | Other | 3 | Married | 3600 | 8429 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 4 | |
| 1754610 | 41 | Yes | Non-Travel | 906 | Maternity | 5 | 2 | Life Sciences | 1 | 1 | Male | 95 | 2 | 1 | Other | 1 | Divorced | 2107 | 20293 | 6 | Y | No | 17 | 3 | 1 | 80 | 1 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | |
| 1260276 | 30 | No | Travel_Rarely | 1329 | Cardiology | 29 | 4 | Life Sciences | 1 | 3 | Male | 61 | 3 | 2 | Nurse | 1 | Divorced | 4115 | 13192 | 8 | Y | No | 19 | 3 | 3 | 80 | 3 | 8 | 3 | 3 | 4 | 3 | 0 | 3 | |
| 1313206 | 40 | No | Travel_Frequently | 1184 | Cardiology | 2 | 4 | Medical | 1 | 2 | Male | 62 | 3 | 2 | Nurse | 2 | Married | 4327 | 25440 | 5 | Y | No | 12 | 3 | 4 | 80 | 3 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1562759 | 50 | No | Travel_Frequently | 1421 | Neurology | 2 | 3 | Medical | 1 | 4 | Female | 30 | 3 | 4 | Other | 1 | Married | 17856 | 9490 | 2 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1818579 | 28 | No | Travel_Rarely | 1179 | Maternity | 19 | 4 | Medical | 1 | 4 | Male | 78 | 2 | 1 | Nurse | 1 | Married | 3196 | 12449 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 3 | 6 | 5 | 3 | 3 | |
| 1221210 | 46 | No | Travel_Rarely | 1450 | Maternity | 15 | 2 | Life Sciences | 1 | 4 | Male | 52 | 3 | 5 | Administrative | 2 | Married | 19081 | 10849 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 25 | 2 | 3 | 4 | 2 | 0 | 3 | |
| 1285937 | 35 | No | Travel_Rarely | 1361 | Cardiology | 17 | 4 | Life Sciences | 1 | 3 | Male | 94 | 3 | 2 | Nurse | 1 | Married | 8966 | 21026 | 3 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 15 | 2 | 3 | 7 | 7 | 1 | 7 | |
| 1063216 | 24 | Yes | Travel_Rarely | 984 | Maternity | 17 | 2 | Life Sciences | 1 | 4 | Female | 97 | 3 | 1 | Nurse | 2 | Married | 2210 | 3372 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | |
| 1551282 | 33 | No | Travel_Frequently | 1146 | Cardiology | 25 | 3 | Medical | 1 | 2 | Female | 82 | 3 | 2 | Nurse | 3 | Married | 4539 | 4905 | 1 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 7 | 0 | 1 | |
| 1310719 | 36 | No | Travel_Rarely | 917 | Maternity | 6 | 4 | Life Sciences | 1 | 3 | Male | 60 | 1 | 1 | Nurse | 3 | Divorced | 2741 | 6865 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 4 | 3 | 7 | 7 | 1 | 7 | |
| 1544205 | 30 | No | Travel_Rarely | 853 | Maternity | 7 | 4 | Life Sciences | 1 | 3 | Male | 49 | 3 | 2 | Nurse | 3 | Divorced | 3491 | 11309 | 1 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 4 | 2 | 10 | 7 | 8 | 9 | |
| 1503934 | 44 | No | Travel_Rarely | 200 | Maternity | 29 | 4 | Other | 1 | 4 | Male | 32 | 3 | 2 | Other | 4 | Single | 4541 | 7744 | 1 | Y | No | 25 | 4 | 2 | 80 | 0 | 20 | 3 | 3 | 20 | 11 | 13 | 17 | |
| 1531205 | 20 | No | Travel_Rarely | 654 | Cardiology | 21 | 3 | Marketing | 1 | 3 | Male | 43 | 4 | 1 | Other | 4 | Single | 2678 | 5050 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 2 | 3 | 2 | 1 | 2 | 2 | |
| 1126413 | 46 | No | Travel_Rarely | 150 | Neurology | 2 | 4 | Technical Degree | 1 | 4 | Male | 60 | 3 | 2 | Therapist | 4 | Divorced | 7379 | 17433 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 12 | 3 | 2 | 6 | 3 | 1 | 4 | |
| 1170535 | 42 | No | Non-Travel | 179 | Neurology | 2 | 5 | Medical | 1 | 4 | Male | 79 | 4 | 2 | Other | 1 | Married | 6272 | 12858 | 7 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 3 | 4 | 4 | 3 | 0 | 3 | |
| 1520995 | 60 | No | Travel_Rarely | 696 | Cardiology | 7 | 4 | Marketing | 1 | 2 | Male | 52 | 4 | 2 | Nurse | 4 | Divorced | 5220 | 10893 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 7 | 1 | 9 | |
| 1229290 | 32 | No | Travel_Frequently | 116 | Maternity | 13 | 3 | Other | 1 | 3 | Female | 77 | 2 | 1 | Nurse | 2 | Married | 2743 | 7331 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1034448 | 32 | No | Travel_Frequently | 1316 | Maternity | 2 | 2 | Life Sciences | 1 | 4 | Female | 38 | 3 | 2 | Other | 3 | Single | 4998 | 2338 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 7 | |
| 1516924 | 36 | No | Travel_Rarely | 363 | Neurology | 1 | 3 | Technical Degree | 1 | 3 | Female | 77 | 1 | 3 | Therapist | 1 | Divorced | 10252 | 4235 | 2 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 17 | 2 | 3 | 7 | 7 | 7 | 7 | |
| 1487583 | 33 | No | Travel_Rarely | 117 | Maternity | 9 | 3 | Medical | 1 | 1 | Male | 60 | 3 | 1 | Other | 4 | Married | 2781 | 6311 | 0 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 5 | 3 | 14 | 10 | 4 | 10 | |
| 1516360 | 40 | No | Travel_Rarely | 107 | Cardiology | 10 | 3 | Technical Degree | 1 | 2 | Female | 84 | 2 | 2 | Nurse | 2 | Divorced | 6852 | 11591 | 7 | Y | No | 12 | 3 | 2 | 80 | 1 | 7 | 2 | 4 | 5 | 1 | 1 | 3 | |
| 1384279 | 25 | No | Travel_Rarely | 1356 | Cardiology | 10 | 4 | Life Sciences | 1 | 3 | Male | 57 | 3 | 2 | Nurse | 4 | Single | 4950 | 20623 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 4 | 3 | 4 | 3 | 1 | 1 | |
| 1658193 | 30 | No | Travel_Rarely | 1465 | Maternity | 1 | 3 | Medical | 1 | 4 | Male | 63 | 3 | 1 | Other | 2 | Married | 3579 | 9369 | 0 | Y | Yes | 21 | 4 | 1 | 80 | 1 | 12 | 2 | 3 | 11 | 9 | 5 | 7 | |
| 1645050 | 42 | No | Travel_Frequently | 458 | Maternity | 26 | 5 | Medical | 1 | 1 | Female | 60 | 3 | 3 | Administrative | 1 | Married | 13191 | 23281 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 20 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1695470 | 35 | No | Non-Travel | 1212 | Cardiology | 8 | 2 | Marketing | 1 | 3 | Female | 78 | 2 | 3 | Nurse | 4 | Married | 10377 | 13755 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 16 | 6 | 2 | 13 | 2 | 4 | 12 | |
| 1362336 | 27 | No | Travel_Rarely | 1103 | Maternity | 14 | 3 | Life Sciences | 1 | 1 | Male | 42 | 3 | 1 | Other | 1 | Married | 2235 | 14377 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 2 | 9 | 7 | 6 | 8 | |
| 1442702 | 54 | No | Travel_Frequently | 966 | Neurology | 1 | 4 | Life Sciences | 1 | 4 | Female | 53 | 3 | 3 | Therapist | 3 | Divorced | 10502 | 9659 | 7 | Y | No | 17 | 3 | 1 | 80 | 1 | 33 | 2 | 1 | 5 | 4 | 1 | 4 | |
| 1226564 | 44 | No | Travel_Rarely | 1117 | Maternity | 2 | 1 | Life Sciences | 1 | 1 | Female | 72 | 4 | 1 | Other | 4 | Married | 2011 | 19982 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 5 | 7 | 7 | |
| 1245033 | 19 | Yes | Non-Travel | 504 | Maternity | 10 | 3 | Medical | 1 | 1 | Female | 96 | 2 | 1 | Other | 2 | Single | 1859 | 6148 | 1 | Y | Yes | 25 | 4 | 2 | 80 | 0 | 1 | 2 | 4 | 1 | 1 | 0 | 0 | |
| 1856613 | 29 | No | Travel_Rarely | 1010 | Maternity | 1 | 3 | Life Sciences | 1 | 1 | Female | 97 | 3 | 1 | Other | 4 | Divorced | 3760 | 5598 | 1 | Y | No | 15 | 3 | 1 | 80 | 3 | 3 | 5 | 3 | 3 | 2 | 1 | 2 | |
| 1559788 | 54 | No | Travel_Rarely | 685 | Maternity | 3 | 3 | Life Sciences | 1 | 4 | Male | 85 | 3 | 4 | Administrative | 4 | Married | 17779 | 23474 | 3 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 2 | 3 | 10 | 9 | 0 | 9 | |
| 1845153 | 31 | No | Travel_Rarely | 1332 | Maternity | 11 | 2 | Medical | 1 | 3 | Male | 80 | 3 | 2 | Nurse | 1 | Married | 6833 | 17089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 6 | 5 | 0 | 1 | |
| 1216132 | 31 | No | Travel_Rarely | 1062 | Maternity | 24 | 3 | Medical | 1 | 3 | Female | 96 | 2 | 2 | Nurse | 1 | Single | 6812 | 17198 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 10 | 9 | 1 | 8 | |
| 1718896 | 59 | No | Travel_Rarely | 326 | Cardiology | 3 | 3 | Life Sciences | 1 | 3 | Female | 48 | 2 | 2 | Nurse | 4 | Single | 5171 | 16490 | 5 | Y | No | 17 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 6 | 1 | 0 | 5 | |
| 1659741 | 43 | No | Travel_Rarely | 920 | Maternity | 3 | 3 | Life Sciences | 1 | 3 | Male | 96 | 1 | 5 | Administrative | 4 | Married | 19740 | 18625 | 3 | Y | No | 14 | 3 | 2 | 80 | 1 | 25 | 2 | 3 | 8 | 7 | 0 | 7 | |
| 1460231 | 49 | No | Travel_Rarely | 1098 | Neurology | 4 | 2 | Medical | 1 | 1 | Male | 85 | 2 | 5 | Other | 3 | Married | 18711 | 12124 | 2 | Y | No | 13 | 3 | 3 | 80 | 1 | 23 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1276743 | 36 | No | Travel_Frequently | 469 | Maternity | 3 | 3 | Technical Degree | 1 | 3 | Male | 46 | 3 | 1 | Other | 2 | Married | 3692 | 9256 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 10 | 0 | 7 | |
| 1551418 | 48 | No | Travel_Rarely | 969 | Maternity | 2 | 2 | Technical Degree | 1 | 4 | Male | 76 | 4 | 1 | Nurse | 2 | Single | 2559 | 16620 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 4 | 2 | 1 | 0 | 0 | 0 | |
| 1409781 | 27 | No | Travel_Rarely | 1167 | Maternity | 4 | 2 | Life Sciences | 1 | 1 | Male | 76 | 3 | 1 | Other | 3 | Divorced | 2517 | 3208 | 1 | Y | No | 11 | 3 | 2 | 80 | 3 | 5 | 2 | 3 | 5 | 3 | 0 | 3 | |
| 1429070 | 29 | No | Travel_Rarely | 1329 | Maternity | 7 | 3 | Life Sciences | 1 | 3 | Male | 82 | 3 | 2 | Nurse | 4 | Divorced | 6623 | 4204 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 2 | 3 | 6 | 0 | 1 | 0 | |
| 1149718 | 48 | No | Travel_Rarely | 715 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 76 | 2 | 5 | Administrative | 4 | Single | 18265 | 8733 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 25 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1593907 | 29 | No | Travel_Rarely | 694 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Female | 87 | 2 | 4 | Administrative | 4 | Divorced | 16124 | 3423 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 2 | 7 | 7 | 1 | 7 | |
| 1346366 | 34 | No | Travel_Rarely | 1320 | Maternity | 20 | 3 | Technical Degree | 1 | 3 | Female | 89 | 4 | 1 | Other | 3 | Married | 2585 | 21643 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 5 | 2 | 1 | 0 | 0 | 0 | |
| 1471840 | 44 | No | Travel_Rarely | 1099 | Cardiology | 5 | 3 | Marketing | 1 | 2 | Male | 88 | 3 | 5 | Administrative | 2 | Married | 18213 | 8751 | 7 | Y | No | 11 | 3 | 3 | 80 | 1 | 26 | 5 | 3 | 22 | 9 | 3 | 10 | |
| 1081187 | 33 | No | Travel_Rarely | 536 | Cardiology | 10 | 5 | Marketing | 1 | 4 | Male | 82 | 4 | 3 | Nurse | 3 | Divorced | 8380 | 21708 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 3 | 3 | 9 | 8 | 0 | 8 | |
| 1237363 | 19 | No | Travel_Rarely | 265 | Maternity | 25 | 3 | Life Sciences | 1 | 2 | Female | 57 | 4 | 1 | Other | 4 | Single | 2994 | 21221 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | |
| 1473069 | 23 | No | Travel_Rarely | 373 | Maternity | 1 | 2 | Life Sciences | 1 | 4 | Male | 47 | 3 | 1 | Other | 3 | Married | 1223 | 16901 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | |
| 1322371 | 25 | Yes | Travel_Frequently | 599 | Cardiology | 24 | 1 | Life Sciences | 1 | 3 | Male | 73 | 1 | 1 | Other | 4 | Single | 1118 | 8040 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 1 | 4 | 3 | 1 | 0 | 1 | 0 | |
| 1574047 | 26 | No | Travel_Rarely | 583 | Maternity | 4 | 2 | Life Sciences | 1 | 3 | Male | 53 | 3 | 1 | Other | 4 | Single | 2875 | 9973 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 8 | 2 | 2 | 8 | 5 | 2 | 2 | |
| 1588094 | 45 | No | Travel_Rarely | 1449 | Cardiology | 2 | 3 | Marketing | 1 | 1 | Female | 94 | 1 | 5 | Administrative | 2 | Single | 18824 | 2493 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 0 | 26 | 2 | 3 | 24 | 10 | 1 | 11 | |
| 1364438 | 55 | No | Non-Travel | 177 | Maternity | 8 | 1 | Medical | 1 | 4 | Male | 37 | 2 | 4 | Nurse | 2 | Divorced | 13577 | 25592 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 34 | 3 | 3 | 33 | 9 | 15 | 0 | |
| 1724855 | 21 | Yes | Travel_Frequently | 251 | Maternity | 10 | 2 | Life Sciences | 1 | 1 | Female | 45 | 2 | 1 | Nurse | 3 | Single | 2625 | 25308 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | |
| 1032289 | 46 | No | Travel_Rarely | 168 | Cardiology | 4 | 2 | Marketing | 1 | 4 | Female | 33 | 2 | 5 | Administrative | 2 | Married | 18789 | 9946 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 26 | 2 | 3 | 11 | 4 | 0 | 8 | |
| 1826524 | 34 | No | Travel_Rarely | 131 | Cardiology | 2 | 3 | Marketing | 1 | 3 | Female | 86 | 3 | 2 | Nurse | 1 | Single | 4538 | 6039 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1426682 | 51 | No | Travel_Frequently | 237 | Cardiology | 9 | 3 | Life Sciences | 1 | 4 | Male | 83 | 3 | 5 | Administrative | 2 | Divorced | 19847 | 19196 | 4 | Y | Yes | 24 | 4 | 1 | 80 | 1 | 31 | 5 | 2 | 29 | 10 | 11 | 10 | |
| 1826449 | 59 | No | Travel_Rarely | 1429 | Maternity | 18 | 4 | Medical | 1 | 4 | Male | 67 | 3 | 3 | Therapist | 4 | Single | 10512 | 20002 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 25 | 6 | 2 | 9 | 7 | 5 | 4 | |
| 1319702 | 34 | No | Travel_Frequently | 135 | Maternity | 19 | 3 | Medical | 1 | 3 | Female | 46 | 3 | 2 | Nurse | 2 | Divorced | 4444 | 22534 | 4 | Y | No | 13 | 3 | 3 | 80 | 2 | 15 | 2 | 4 | 11 | 8 | 5 | 10 | |
| 1668404 | 28 | Yes | Travel_Frequently | 791 | Maternity | 1 | 4 | Medical | 1 | 4 | Male | 44 | 3 | 1 | Nurse | 3 | Single | 2154 | 6842 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 0 | 2 | |
| 1459186 | 44 | No | Travel_Rarely | 1199 | Neurology | 4 | 2 | Life Sciences | 1 | 3 | Male | 92 | 4 | 5 | Other | 1 | Divorced | 19190 | 17477 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 26 | 4 | 2 | 25 | 9 | 14 | 13 | |
| 1488640 | 34 | No | Travel_Frequently | 648 | Neurology | 11 | 3 | Life Sciences | 1 | 3 | Male | 56 | 2 | 2 | Other | 2 | Married | 4490 | 21833 | 4 | Y | No | 11 | 3 | 4 | 80 | 2 | 14 | 5 | 4 | 10 | 9 | 1 | 8 | |
| 1711208 | 35 | No | Travel_Rarely | 735 | Maternity | 6 | 1 | Life Sciences | 1 | 3 | Male | 66 | 3 | 1 | Other | 3 | Married | 3506 | 6020 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 2 | 2 | |
| 1619962 | 42 | No | Travel_Rarely | 603 | Maternity | 7 | 4 | Medical | 1 | 2 | Female | 78 | 4 | 2 | Other | 2 | Married | 2372 | 5628 | 6 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1411176 | 43 | No | Travel_Rarely | 531 | Cardiology | 4 | 4 | Marketing | 1 | 4 | Female | 56 | 2 | 3 | Nurse | 4 | Single | 10231 | 20364 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 23 | 3 | 4 | 21 | 7 | 15 | 17 | |
| 1702814 | 36 | No | Travel_Rarely | 429 | Neurology | 2 | 4 | Life Sciences | 1 | 3 | Female | 53 | 3 | 2 | Therapist | 2 | Single | 5410 | 2323 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 16 | 14 | 5 | 12 | |
| 1059499 | 44 | No | Travel_Rarely | 621 | Maternity | 15 | 3 | Medical | 1 | 1 | Female | 73 | 3 | 3 | Nurse | 4 | Married | 7978 | 14075 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 5 | |
| 1612685 | 28 | No | Travel_Frequently | 193 | Maternity | 2 | 3 | Life Sciences | 1 | 4 | Male | 52 | 2 | 1 | Nurse | 4 | Married | 3867 | 14222 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1744003 | 51 | No | Travel_Frequently | 968 | Maternity | 6 | 2 | Medical | 1 | 2 | Female | 40 | 2 | 1 | Nurse | 3 | Single | 2838 | 4257 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 2 | 7 | 0 | 7 | 7 | |
| 1825727 | 30 | No | Non-Travel | 879 | Maternity | 9 | 2 | Medical | 1 | 3 | Female | 72 | 3 | 2 | Therapist | 3 | Single | 4695 | 12858 | 7 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 8 | 4 | 1 | 7 | |
| 1100849 | 29 | Yes | Travel_Rarely | 806 | Maternity | 7 | 3 | Technical Degree | 1 | 2 | Female | 39 | 3 | 1 | Nurse | 3 | Divorced | 3339 | 17285 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 7 | 7 | 7 | 7 | |
| 1165880 | 28 | No | Travel_Rarely | 640 | Maternity | 1 | 3 | Technical Degree | 1 | 4 | Male | 84 | 3 | 1 | Other | 1 | Single | 2080 | 4732 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 5 | 2 | 2 | 3 | 2 | 1 | 2 | |
| 1386101 | 25 | No | Travel_Rarely | 266 | Maternity | 1 | 3 | Medical | 1 | 4 | Female | 40 | 3 | 1 | Other | 2 | Single | 2096 | 18830 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 1 | |
| 1053739 | 32 | No | Travel_Rarely | 604 | Cardiology | 8 | 3 | Medical | 1 | 3 | Male | 56 | 4 | 2 | Nurse | 4 | Married | 6209 | 11693 | 1 | Y | No | 15 | 3 | 3 | 80 | 2 | 10 | 4 | 4 | 10 | 7 | 0 | 8 | |
| 1259785 | 45 | No | Travel_Frequently | 364 | Neurology | 25 | 3 | Medical | 1 | 2 | Female | 83 | 3 | 5 | Other | 2 | Single | 18061 | 13035 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 22 | 4 | 3 | 0 | 0 | 0 | 0 | |
| 1772045 | 39 | No | Travel_Rarely | 412 | Neurology | 13 | 4 | Medical | 1 | 3 | Female | 94 | 2 | 4 | Other | 2 | Divorced | 17123 | 17334 | 6 | Y | Yes | 13 | 3 | 4 | 80 | 2 | 21 | 4 | 3 | 19 | 9 | 15 | 2 | |
| 1153402 | 58 | No | Travel_Rarely | 848 | Maternity | 23 | 4 | Life Sciences | 1 | 1 | Male | 88 | 3 | 1 | Other | 3 | Divorced | 2372 | 26076 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1111156 | 32 | No | Travel_Rarely | 1089 | Maternity | 7 | 2 | Life Sciences | 1 | 4 | Male | 79 | 3 | 2 | Nurse | 3 | Married | 4883 | 22845 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 4 | 1 | 1 | |
| 1191511 | 39 | Yes | Travel_Rarely | 360 | Maternity | 23 | 3 | Medical | 1 | 3 | Male | 93 | 3 | 1 | Other | 1 | Single | 3904 | 22154 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 5 | 2 | 0 | 3 | |
| 1391589 | 30 | No | Travel_Rarely | 1138 | Maternity | 6 | 3 | Technical Degree | 1 | 1 | Female | 48 | 2 | 2 | Nurse | 4 | Married | 4627 | 23631 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 2 | 6 | 7 | |
| 1474475 | 36 | No | Travel_Rarely | 325 | Maternity | 10 | 4 | Technical Degree | 1 | 4 | Female | 63 | 3 | 3 | Nurse | 3 | Married | 7094 | 5747 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 0 | 3 | 7 | 7 | 1 | 7 | |
| 1211290 | 46 | No | Travel_Rarely | 991 | Neurology | 1 | 2 | Life Sciences | 1 | 4 | Female | 44 | 3 | 1 | Other | 1 | Single | 3423 | 22957 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 3 | 4 | 7 | 6 | 5 | 7 | |
| 1193428 | 28 | No | Non-Travel | 1476 | Maternity | 1 | 3 | Life Sciences | 1 | 3 | Female | 55 | 1 | 2 | Nurse | 4 | Married | 6674 | 16392 | 0 | Y | No | 11 | 3 | 1 | 80 | 3 | 10 | 6 | 3 | 9 | 8 | 7 | 5 | |
| 1545703 | 50 | No | Travel_Rarely | 1322 | Maternity | 28 | 3 | Life Sciences | 1 | 4 | Female | 43 | 3 | 4 | Administrative | 1 | Married | 16880 | 22422 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 25 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1202936 | 40 | Yes | Travel_Rarely | 299 | Cardiology | 25 | 4 | Marketing | 1 | 4 | Male | 57 | 2 | 3 | Nurse | 2 | Single | 9094 | 17235 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 5 | 4 | 1 | 0 | |
| 1171299 | 52 | Yes | Travel_Rarely | 1030 | Cardiology | 5 | 3 | Life Sciences | 1 | 2 | Male | 64 | 3 | 3 | Nurse | 2 | Single | 8446 | 21534 | 9 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 8 | 7 | 7 | 7 | |
| 1277861 | 30 | No | Travel_Rarely | 634 | Neurology | 17 | 4 | Medical | 1 | 2 | Female | 95 | 3 | 3 | Other | 1 | Married | 11916 | 25927 | 1 | Y | Yes | 23 | 4 | 4 | 80 | 2 | 9 | 2 | 3 | 9 | 1 | 0 | 8 | |
| 1622014 | 39 | No | Travel_Rarely | 524 | Maternity | 18 | 2 | Life Sciences | 1 | 1 | Male | 32 | 3 | 2 | Therapist | 3 | Single | 4534 | 13352 | 0 | Y | No | 11 | 3 | 1 | 80 | 0 | 9 | 6 | 3 | 8 | 7 | 1 | 7 | |
| 1379068 | 31 | No | Non-Travel | 587 | Cardiology | 2 | 4 | Life Sciences | 1 | 4 | Female | 57 | 3 | 3 | Nurse | 3 | Divorced | 9852 | 8935 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 5 | 2 | 10 | 8 | 9 | 6 | |
| 1546275 | 41 | No | Non-Travel | 256 | Cardiology | 10 | 2 | Medical | 1 | 3 | Male | 40 | 1 | 2 | Nurse | 2 | Single | 6151 | 22074 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 19 | 4 | 3 | 19 | 2 | 11 | 9 | |
| 1288105 | 31 | Yes | Travel_Frequently | 1060 | Cardiology | 1 | 3 | Life Sciences | 1 | 4 | Female | 54 | 3 | 1 | Other | 2 | Single | 2302 | 8319 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 3 | 2 | 4 | 3 | 2 | 2 | 2 | |
| 1518688 | 44 | No | Travel_Rarely | 935 | Maternity | 3 | 3 | Life Sciences | 1 | 1 | Male | 89 | 3 | 1 | Nurse | 1 | Married | 2362 | 14669 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 4 | 4 | 3 | 2 | 1 | 2 | |
| 1071499 | 42 | No | Non-Travel | 495 | Neurology | 2 | 1 | Life Sciences | 1 | 3 | Male | 37 | 3 | 4 | Other | 3 | Married | 17861 | 26582 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 21 | 3 | 2 | 20 | 8 | 2 | 10 | |
| 1704652 | 55 | No | Travel_Rarely | 282 | Neurology | 2 | 2 | Medical | 1 | 4 | Female | 58 | 1 | 5 | Other | 3 | Married | 19187 | 6992 | 4 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 5 | 3 | 19 | 9 | 9 | 11 | |
| 1074172 | 56 | No | Travel_Rarely | 206 | Neurology | 8 | 4 | Life Sciences | 1 | 4 | Male | 99 | 3 | 5 | Administrative | 2 | Single | 19717 | 4022 | 6 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 4 | 3 | 7 | 3 | 7 | 7 | |
| 1415953 | 40 | No | Non-Travel | 458 | Maternity | 16 | 2 | Life Sciences | 1 | 3 | Male | 74 | 3 | 1 | Other | 3 | Divorced | 3544 | 8532 | 9 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 0 | 3 | 4 | 2 | 0 | 0 | |
| 1492244 | 34 | No | Travel_Rarely | 943 | Maternity | 9 | 3 | Life Sciences | 1 | 4 | Male | 86 | 3 | 3 | Nurse | 4 | Divorced | 8500 | 5494 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 0 | 2 | 9 | 7 | 1 | 6 | |
| 1510065 | 40 | No | Travel_Rarely | 523 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Male | 98 | 3 | 2 | Other | 4 | Single | 4661 | 22455 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 9 | 4 | 3 | 9 | 8 | 8 | 8 | |
| 1338493 | 41 | No | Travel_Frequently | 1018 | Cardiology | 1 | 3 | Marketing | 1 | 3 | Female | 66 | 3 | 2 | Nurse | 1 | Divorced | 4103 | 4297 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 3 | 1 | 7 | |
| 1451242 | 35 | No | Travel_Frequently | 482 | Maternity | 4 | 4 | Life Sciences | 1 | 3 | Male | 87 | 3 | 2 | Other | 3 | Single | 4249 | 2690 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 9 | 6 | 1 | 1 | |
| 1265137 | 51 | No | Travel_Rarely | 770 | Neurology | 5 | 3 | Life Sciences | 1 | 3 | Male | 84 | 3 | 4 | Administrative | 2 | Divorced | 14026 | 17588 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 33 | 2 | 3 | 33 | 9 | 0 | 10 | |
| 1465164 | 38 | No | Travel_Rarely | 1009 | Cardiology | 2 | 2 | Life Sciences | 1 | 2 | Female | 31 | 3 | 2 | Nurse | 1 | Divorced | 6893 | 19461 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 7 | 7 | 1 | 7 | |
| 1420569 | 34 | No | Travel_Rarely | 507 | Cardiology | 15 | 2 | Medical | 1 | 3 | Female | 66 | 3 | 2 | Nurse | 1 | Single | 6125 | 23553 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 6 | 4 | 10 | 8 | 9 | 6 | |
| 1796375 | 25 | No | Travel_Rarely | 882 | Maternity | 19 | 1 | Medical | 1 | 4 | Male | 67 | 3 | 1 | Nurse | 4 | Married | 3669 | 9075 | 3 | Y | No | 11 | 3 | 3 | 80 | 3 | 7 | 6 | 2 | 3 | 2 | 1 | 2 | |
| 1536328 | 58 | Yes | Travel_Rarely | 601 | Cardiology | 7 | 4 | Medical | 1 | 3 | Female | 53 | 2 | 3 | Therapist | 1 | Married | 10008 | 12023 | 7 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 31 | 0 | 2 | 10 | 9 | 5 | 9 | |
| 1346672 | 40 | No | Travel_Rarely | 329 | Maternity | 1 | 4 | Life Sciences | 1 | 2 | Male | 88 | 3 | 1 | Nurse | 2 | Married | 2387 | 6762 | 3 | Y | No | 22 | 4 | 3 | 80 | 1 | 7 | 3 | 3 | 4 | 2 | 0 | 3 | |
| 1408258 | 36 | No | Travel_Frequently | 607 | Cardiology | 7 | 3 | Marketing | 1 | 1 | Female | 83 | 4 | 2 | Nurse | 1 | Married | 4639 | 2261 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 17 | 2 | 2 | 15 | 7 | 6 | 13 | |
| 1172129 | 48 | No | Travel_Rarely | 855 | Neurology | 4 | 3 | Life Sciences | 1 | 4 | Male | 54 | 3 | 3 | Therapist | 4 | Single | 7898 | 18706 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 10 | 9 | 0 | 8 | |
| 1525335 | 27 | No | Travel_Rarely | 1291 | Cardiology | 11 | 3 | Medical | 1 | 3 | Female | 98 | 4 | 1 | Other | 4 | Married | 2534 | 6527 | 8 | Y | No | 14 | 3 | 2 | 80 | 1 | 5 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1138505 | 51 | No | Travel_Rarely | 1405 | Maternity | 11 | 2 | Technical Degree | 1 | 4 | Female | 82 | 2 | 4 | Therapist | 2 | Single | 13142 | 24439 | 3 | Y | No | 16 | 3 | 2 | 80 | 0 | 29 | 1 | 2 | 5 | 2 | 0 | 3 | |
| 1792003 | 18 | No | Non-Travel | 1124 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Female | 97 | 3 | 1 | Nurse | 4 | Single | 1611 | 19305 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 0 | 5 | 4 | 0 | 0 | 0 | 0 | |
| 1584366 | 35 | No | Travel_Rarely | 817 | Maternity | 1 | 3 | Medical | 1 | 4 | Female | 60 | 2 | 2 | Nurse | 4 | Married | 5363 | 10846 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 0 | 3 | 9 | 7 | 0 | 0 | |
| 1224247 | 27 | No | Travel_Frequently | 793 | Cardiology | 2 | 1 | Life Sciences | 1 | 4 | Male | 43 | 1 | 2 | Nurse | 4 | Single | 5071 | 20392 | 3 | Y | No | 20 | 4 | 2 | 80 | 0 | 8 | 3 | 3 | 6 | 2 | 0 | 0 | |
| 1081600 | 55 | Yes | Travel_Rarely | 267 | Cardiology | 13 | 4 | Marketing | 1 | 1 | Male | 85 | 4 | 4 | Nurse | 3 | Single | 13695 | 9277 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 24 | 2 | 2 | 19 | 7 | 3 | 8 | |
| 1665397 | 56 | No | Travel_Rarely | 1369 | Maternity | 23 | 3 | Life Sciences | 1 | 4 | Male | 68 | 3 | 4 | Therapist | 2 | Married | 13402 | 18235 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 33 | 0 | 3 | 19 | 16 | 15 | 9 | |
| 1073438 | 34 | No | Non-Travel | 999 | Maternity | 26 | 1 | Technical Degree | 1 | 1 | Female | 92 | 2 | 1 | Other | 3 | Divorced | 2029 | 15891 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 5 | 2 | 3 | 5 | 4 | 0 | 0 | |
| 1858522 | 40 | No | Travel_Rarely | 1202 | Maternity | 2 | 1 | Medical | 1 | 2 | Female | 89 | 4 | 2 | Nurse | 3 | Divorced | 6377 | 13888 | 5 | Y | No | 20 | 4 | 2 | 80 | 3 | 15 | 0 | 3 | 12 | 11 | 11 | 8 | |
| 1528867 | 34 | No | Travel_Rarely | 285 | Maternity | 29 | 3 | Medical | 1 | 2 | Male | 86 | 3 | 2 | Nurse | 3 | Married | 5429 | 17491 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 1 | 3 | 8 | 7 | 7 | 7 | |
| 1648657 | 31 | Yes | Travel_Frequently | 703 | Cardiology | 2 | 3 | Life Sciences | 1 | 3 | Female | 90 | 2 | 1 | Other | 4 | Single | 2785 | 11882 | 7 | Y | No | 14 | 3 | 3 | 80 | 0 | 3 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1805986 | 35 | Yes | Travel_Frequently | 662 | Cardiology | 18 | 4 | Marketing | 1 | 4 | Female | 67 | 3 | 2 | Nurse | 3 | Married | 4614 | 23288 | 0 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 5 | 0 | 2 | 4 | 2 | 3 | 2 | |
| 1272720 | 38 | No | Travel_Frequently | 693 | Maternity | 7 | 3 | Life Sciences | 1 | 4 | Male | 57 | 4 | 1 | Other | 3 | Divorced | 2610 | 15748 | 1 | Y | No | 11 | 3 | 4 | 80 | 3 | 4 | 2 | 3 | 4 | 2 | 0 | 3 | |
| 1415194 | 34 | No | Travel_Rarely | 404 | Maternity | 2 | 4 | Technical Degree | 1 | 3 | Female | 98 | 3 | 2 | Nurse | 4 | Single | 6687 | 6163 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 2 | 4 | 14 | 11 | 4 | 11 | |
| 1176516 | 28 | No | Travel_Rarely | 736 | Cardiology | 26 | 3 | Life Sciences | 1 | 3 | Male | 48 | 2 | 2 | Nurse | 1 | Married | 4724 | 24232 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 0 | 3 | 5 | 3 | 0 | 4 | |
| 1542102 | 31 | Yes | Travel_Rarely | 330 | Maternity | 22 | 4 | Medical | 1 | 4 | Male | 98 | 3 | 2 | Therapist | 3 | Married | 6179 | 21057 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 2 | 6 | 7 | |
| 1872881 | 39 | No | Travel_Rarely | 1498 | Cardiology | 21 | 4 | Life Sciences | 1 | 1 | Male | 44 | 2 | 2 | Nurse | 4 | Married | 6120 | 3567 | 3 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 8 | 2 | 4 | 5 | 4 | 1 | 4 | |
| 1588882 | 51 | No | Travel_Frequently | 541 | Cardiology | 2 | 3 | Marketing | 1 | 2 | Male | 52 | 3 | 3 | Nurse | 2 | Married | 10596 | 15395 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 14 | 5 | 3 | 4 | 2 | 3 | 2 | |
| 1278061 | 41 | No | Travel_Frequently | 1200 | Maternity | 22 | 3 | Life Sciences | 1 | 4 | Female | 75 | 3 | 2 | Other | 4 | Divorced | 5467 | 13953 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 12 | 4 | 2 | 6 | 2 | 3 | 3 | |
| 1220976 | 37 | No | Travel_Rarely | 1439 | Maternity | 4 | 1 | Life Sciences | 1 | 3 | Male | 54 | 3 | 1 | Other | 3 | Married | 2996 | 5182 | 7 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 6 | 4 | 1 | 3 | |
| 1068192 | 33 | No | Travel_Frequently | 1111 | Cardiology | 5 | 1 | Life Sciences | 1 | 2 | Male | 61 | 3 | 2 | Nurse | 4 | Married | 9998 | 19293 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 4 | 5 | 4 | 1 | 2 | |
| 1633178 | 32 | No | Travel_Rarely | 499 | Cardiology | 2 | 1 | Marketing | 1 | 3 | Male | 36 | 3 | 2 | Nurse | 2 | Married | 4078 | 20497 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 3 | 4 | 3 | 2 | 3 | 2 | 1 | 2 | |
| 1432591 | 39 | No | Non-Travel | 1485 | Maternity | 25 | 2 | Life Sciences | 1 | 3 | Male | 71 | 3 | 3 | Nurse | 3 | Married | 10920 | 3449 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 13 | 2 | 3 | 6 | 4 | 0 | 5 | |
| 1844995 | 25 | No | Travel_Rarely | 1372 | Cardiology | 18 | 1 | Life Sciences | 1 | 1 | Male | 93 | 4 | 2 | Nurse | 3 | Married | 6232 | 12477 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 3 | 2 | 1 | 2 | |
| 1162157 | 52 | No | Travel_Frequently | 322 | Maternity | 28 | 2 | Medical | 1 | 4 | Female | 59 | 4 | 4 | Therapist | 3 | Married | 13247 | 9731 | 2 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 2 | 5 | 3 | 0 | 2 | |
| 1084924 | 43 | No | Travel_Rarely | 930 | Maternity | 6 | 3 | Medical | 1 | 1 | Female | 73 | 2 | 2 | Other | 3 | Single | 4081 | 20003 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 1 | 20 | 7 | 1 | 8 | |
| 1229066 | 27 | No | Travel_Rarely | 205 | Cardiology | 10 | 3 | Marketing | 1 | 4 | Female | 98 | 2 | 2 | Nurse | 4 | Married | 5769 | 7100 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 4 | |
| 1526314 | 27 | Yes | Travel_Rarely | 135 | Maternity | 17 | 4 | Life Sciences | 1 | 4 | Female | 51 | 3 | 1 | Other | 3 | Single | 2394 | 25681 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 8 | 2 | 7 | 7 | |
| 1339537 | 26 | No | Travel_Rarely | 683 | Maternity | 2 | 1 | Medical | 1 | 1 | Male | 36 | 2 | 1 | Other | 4 | Single | 3904 | 4050 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 1 | |
| 1112703 | 42 | No | Travel_Rarely | 1147 | Neurology | 10 | 3 | Human Resources | 1 | 3 | Female | 31 | 3 | 4 | Administrative | 1 | Married | 16799 | 16616 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 21 | 5 | 3 | 20 | 7 | 0 | 9 | |
| 1768835 | 52 | No | Travel_Rarely | 258 | Maternity | 8 | 4 | Other | 1 | 3 | Female | 54 | 3 | 1 | Nurse | 1 | Married | 2950 | 17363 | 9 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 2 | 1 | 5 | 4 | 0 | 4 | |
| 1742081 | 37 | No | Travel_Rarely | 1462 | Maternity | 11 | 3 | Medical | 1 | 1 | Female | 94 | 3 | 1 | Nurse | 3 | Single | 3629 | 19106 | 4 | Y | No | 18 | 3 | 1 | 80 | 0 | 8 | 6 | 3 | 3 | 2 | 0 | 2 | |
| 1729034 | 35 | No | Travel_Frequently | 200 | Maternity | 18 | 2 | Life Sciences | 1 | 3 | Male | 60 | 3 | 3 | Therapist | 4 | Single | 9362 | 19944 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1141939 | 25 | No | Travel_Rarely | 949 | Maternity | 1 | 3 | Technical Degree | 1 | 1 | Male | 81 | 3 | 1 | Nurse | 4 | Married | 3229 | 4910 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1115350 | 26 | No | Travel_Rarely | 652 | Maternity | 7 | 3 | Other | 1 | 3 | Male | 100 | 4 | 1 | Nurse | 1 | Single | 3578 | 23577 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 7 | |
| 1218088 | 29 | No | Travel_Rarely | 332 | Neurology | 17 | 3 | Other | 1 | 2 | Male | 51 | 2 | 3 | Other | 1 | Single | 7988 | 9769 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 9 | 0 | 9 | |
| 1246982 | 49 | No | Travel_Frequently | 1475 | Maternity | 28 | 2 | Life Sciences | 1 | 1 | Male | 97 | 2 | 2 | Nurse | 1 | Single | 4284 | 22710 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 | |
| 1458822 | 29 | Yes | Travel_Frequently | 337 | Maternity | 14 | 1 | Other | 1 | 3 | Female | 84 | 3 | 3 | Nurse | 4 | Single | 7553 | 22930 | 0 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 9 | 1 | 3 | 8 | 7 | 7 | 7 | |
| 1699413 | 54 | No | Travel_Rarely | 971 | Maternity | 1 | 3 | Medical | 1 | 4 | Female | 54 | 3 | 4 | Administrative | 4 | Single | 17328 | 5652 | 6 | Y | No | 19 | 3 | 4 | 80 | 0 | 29 | 3 | 2 | 20 | 7 | 12 | 7 | |
| 1620973 | 58 | No | Travel_Rarely | 1055 | Maternity | 1 | 3 | Medical | 1 | 4 | Female | 76 | 3 | 5 | Administrative | 1 | Married | 19701 | 22456 | 3 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 9 | 8 | 1 | 5 | |
| 1793695 | 55 | No | Travel_Rarely | 1136 | Maternity | 1 | 4 | Medical | 1 | 2 | Male | 81 | 4 | 4 | Administrative | 4 | Divorced | 14732 | 12414 | 2 | Y | No | 13 | 3 | 4 | 80 | 2 | 31 | 4 | 4 | 7 | 7 | 0 | 0 | |
| 1583611 | 36 | No | Travel_Rarely | 1174 | Cardiology | 3 | 4 | Marketing | 1 | 1 | Female | 99 | 3 | 2 | Nurse | 2 | Single | 9278 | 20763 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 15 | 3 | 3 | 5 | 4 | 0 | 1 | |
| 1792620 | 31 | Yes | Travel_Frequently | 667 | Cardiology | 1 | 4 | Life Sciences | 1 | 2 | Female | 50 | 1 | 1 | Other | 3 | Single | 1359 | 16154 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1225271 | 30 | No | Travel_Rarely | 855 | Cardiology | 7 | 4 | Marketing | 1 | 4 | Female | 73 | 3 | 2 | Nurse | 1 | Divorced | 4779 | 12761 | 7 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1703058 | 31 | No | Travel_Rarely | 182 | Maternity | 8 | 5 | Life Sciences | 1 | 1 | Female | 93 | 3 | 4 | Administrative | 2 | Single | 16422 | 8847 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 9 | 3 | 4 | 3 | 2 | 1 | 0 | |
| 1613258 | 34 | No | Travel_Frequently | 560 | Maternity | 1 | 4 | Other | 1 | 4 | Male | 91 | 3 | 1 | Other | 1 | Divorced | 2996 | 20284 | 5 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 4 | 3 | 1 | 3 | |
| 1611839 | 31 | Yes | Travel_Rarely | 202 | Maternity | 8 | 3 | Life Sciences | 1 | 1 | Female | 34 | 2 | 1 | Other | 2 | Single | 1261 | 22262 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1434118 | 27 | No | Travel_Rarely | 1377 | Maternity | 11 | 1 | Life Sciences | 1 | 2 | Male | 91 | 3 | 1 | Nurse | 1 | Married | 2099 | 7679 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 6 | 3 | 4 | 5 | 0 | 1 | 4 | |
| 1577542 | 36 | No | Travel_Rarely | 172 | Maternity | 4 | 4 | Life Sciences | 1 | 1 | Male | 37 | 2 | 2 | Nurse | 4 | Single | 5810 | 22604 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 1 | 8 | |
| 1537620 | 36 | No | Travel_Rarely | 329 | Cardiology | 16 | 4 | Marketing | 1 | 3 | Female | 98 | 2 | 2 | Nurse | 1 | Married | 5647 | 13494 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 11 | 3 | 2 | 3 | 2 | 0 | 2 | |
| 1827650 | 47 | No | Travel_Rarely | 465 | Maternity | 1 | 3 | Technical Degree | 1 | 1 | Male | 74 | 3 | 1 | Other | 4 | Married | 3420 | 10205 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 2 | 2 | 6 | 5 | 1 | 2 | |
| 1533398 | 25 | Yes | Travel_Rarely | 383 | Cardiology | 9 | 2 | Life Sciences | 1 | 1 | Male | 68 | 2 | 1 | Other | 1 | Married | 4400 | 15182 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1469983 | 37 | No | Non-Travel | 1413 | Maternity | 5 | 2 | Technical Degree | 1 | 3 | Male | 84 | 4 | 1 | Nurse | 3 | Single | 3500 | 25470 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 6 | 5 | 1 | 3 | |
| 1272818 | 56 | No | Travel_Rarely | 1255 | Maternity | 1 | 2 | Life Sciences | 1 | 1 | Female | 90 | 3 | 1 | Other | 1 | Married | 2066 | 10494 | 2 | Y | No | 22 | 4 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 0 | |
| 1174986 | 47 | No | Travel_Rarely | 359 | Maternity | 2 | 4 | Medical | 1 | 1 | Female | 82 | 3 | 4 | Administrative | 3 | Married | 17169 | 26703 | 3 | Y | No | 19 | 3 | 2 | 80 | 2 | 26 | 2 | 4 | 20 | 17 | 5 | 6 | |
| 1259120 | 24 | No | Travel_Rarely | 1476 | Cardiology | 4 | 1 | Medical | 1 | 4 | Female | 42 | 3 | 2 | Nurse | 3 | Married | 4162 | 15211 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 5 | 4 | 0 | 3 | |
| 1236111 | 32 | No | Travel_Rarely | 601 | Cardiology | 7 | 5 | Marketing | 1 | 4 | Male | 97 | 3 | 2 | Nurse | 4 | Married | 9204 | 23343 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 7 | 3 | 2 | 4 | 3 | 0 | 3 | |
| 1625621 | 34 | No | Travel_Rarely | 401 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Female | 86 | 2 | 1 | Nurse | 2 | Married | 3294 | 3708 | 5 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 2 | 2 | 5 | 4 | 0 | 2 | |
| 1743607 | 41 | No | Travel_Rarely | 1283 | Maternity | 5 | 5 | Medical | 1 | 2 | Male | 90 | 4 | 1 | Other | 3 | Married | 2127 | 5561 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 7 | 5 | 2 | 4 | 2 | 0 | 3 | |
| 1115072 | 40 | No | Non-Travel | 663 | Maternity | 9 | 4 | Other | 1 | 3 | Male | 81 | 3 | 2 | Nurse | 3 | Divorced | 3975 | 23099 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 11 | 2 | 4 | 8 | 7 | 0 | 7 | |
| 1497203 | 31 | No | Travel_Rarely | 326 | Cardiology | 8 | 2 | Life Sciences | 1 | 1 | Male | 31 | 3 | 3 | Nurse | 4 | Divorced | 10793 | 8386 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 13 | 5 | 3 | 13 | 7 | 9 | 9 | |
| 1821156 | 46 | No | Travel_Rarely | 377 | Cardiology | 9 | 3 | Marketing | 1 | 1 | Male | 52 | 3 | 3 | Nurse | 4 | Divorced | 10096 | 15986 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 28 | 1 | 4 | 7 | 7 | 4 | 3 | |
| 1853035 | 39 | Yes | Non-Travel | 592 | Maternity | 2 | 3 | Life Sciences | 1 | 1 | Female | 54 | 2 | 1 | Nurse | 1 | Single | 3646 | 17181 | 2 | Y | Yes | 23 | 4 | 2 | 80 | 0 | 11 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1549232 | 31 | No | Travel_Frequently | 1445 | Neurology | 1 | 5 | Life Sciences | 1 | 3 | Female | 100 | 4 | 3 | Therapist | 2 | Single | 7446 | 8931 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 4 | 7 | |
| 1211666 | 45 | No | Travel_Rarely | 1038 | Maternity | 20 | 3 | Medical | 1 | 2 | Male | 95 | 1 | 3 | Nurse | 1 | Divorced | 10851 | 19863 | 2 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 24 | 2 | 3 | 7 | 7 | 0 | 7 | |
| 1214806 | 31 | No | Travel_Rarely | 1398 | Neurology | 8 | 2 | Medical | 1 | 4 | Female | 96 | 4 | 1 | Other | 2 | Single | 2109 | 24609 | 9 | Y | No | 18 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1355585 | 31 | Yes | Travel_Frequently | 523 | Maternity | 2 | 3 | Life Sciences | 1 | 2 | Male | 94 | 3 | 1 | Nurse | 4 | Married | 3722 | 21081 | 6 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 7 | 2 | 1 | 2 | 2 | 2 | 2 | |
| 1341233 | 45 | No | Travel_Rarely | 1448 | Maternity | 29 | 3 | Technical Degree | 1 | 2 | Male | 55 | 3 | 3 | Therapist | 4 | Married | 9380 | 14720 | 4 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 10 | 4 | 4 | 3 | 1 | 1 | 2 | |
| 1203781 | 48 | No | Travel_Rarely | 1221 | Cardiology | 7 | 3 | Marketing | 1 | 3 | Male | 96 | 3 | 2 | Nurse | 1 | Divorced | 5486 | 24795 | 4 | Y | No | 11 | 3 | 1 | 80 | 3 | 15 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1234542 | 34 | No | Travel_Rarely | 1107 | Neurology | 9 | 4 | Technical Degree | 1 | 1 | Female | 52 | 3 | 1 | Other | 3 | Married | 2742 | 3072 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 2 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1282478 | 40 | No | Non-Travel | 218 | Maternity | 8 | 1 | Medical | 1 | 4 | Male | 55 | 2 | 3 | Administrative | 2 | Divorced | 13757 | 25178 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 5 | 3 | 9 | 8 | 4 | 8 | |
| 1488687 | 28 | No | Travel_Rarely | 866 | Cardiology | 5 | 3 | Medical | 1 | 4 | Male | 84 | 3 | 2 | Nurse | 1 | Single | 8463 | 23490 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 5 | 4 | 1 | 3 | |
| 1520049 | 44 | No | Non-Travel | 981 | Maternity | 5 | 3 | Life Sciences | 1 | 3 | Male | 90 | 2 | 1 | Nurse | 3 | Single | 3162 | 7973 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 5 | 3 | 5 | 2 | 0 | 3 | |
| 1811254 | 53 | No | Travel_Rarely | 447 | Maternity | 2 | 3 | Medical | 1 | 4 | Male | 39 | 4 | 4 | Administrative | 2 | Single | 16598 | 19764 | 4 | Y | No | 12 | 3 | 2 | 80 | 0 | 35 | 2 | 2 | 9 | 8 | 8 | 8 | |
| 1028391 | 49 | No | Travel_Rarely | 1495 | Maternity | 5 | 4 | Technical Degree | 1 | 1 | Male | 96 | 3 | 2 | Nurse | 3 | Married | 6651 | 21534 | 2 | Y | No | 14 | 3 | 2 | 80 | 1 | 20 | 0 | 2 | 3 | 2 | 1 | 2 | |
| 1759045 | 40 | No | Travel_Rarely | 896 | Maternity | 2 | 3 | Medical | 1 | 3 | Male | 68 | 3 | 1 | Other | 3 | Divorced | 2345 | 8045 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 8 | 3 | 4 | 3 | 1 | 1 | 2 | |
| 1613858 | 44 | No | Travel_Rarely | 1467 | Maternity | 20 | 3 | Life Sciences | 1 | 4 | Male | 49 | 3 | 1 | Other | 2 | Single | 3420 | 21158 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 2 | 1 | 3 | |
| 1317016 | 33 | No | Travel_Frequently | 430 | Cardiology | 7 | 3 | Medical | 1 | 4 | Male | 54 | 3 | 2 | Nurse | 1 | Married | 4373 | 17456 | 0 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 4 | 3 | 0 | 3 | |
| 1364493 | 34 | No | Travel_Rarely | 1326 | Cardiology | 3 | 3 | Other | 1 | 4 | Male | 81 | 1 | 2 | Nurse | 1 | Single | 4759 | 15891 | 3 | Y | No | 18 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 13 | 9 | 3 | 12 | |
| 1477875 | 30 | No | Travel_Rarely | 1358 | Cardiology | 16 | 1 | Life Sciences | 1 | 4 | Male | 96 | 3 | 2 | Nurse | 3 | Married | 5301 | 2939 | 8 | Y | No | 15 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 2 | 1 | 2 | 2 | |
| 1439547 | 42 | No | Travel_Frequently | 748 | Maternity | 9 | 2 | Medical | 1 | 1 | Female | 74 | 3 | 1 | Nurse | 4 | Single | 3673 | 16458 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 12 | 9 | 5 | 8 | |
| 1869891 | 44 | No | Travel_Frequently | 383 | Cardiology | 1 | 5 | Marketing | 1 | 1 | Female | 79 | 3 | 2 | Nurse | 3 | Married | 4768 | 9282 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 1 | 0 | 0 | 0 | |
| 1800991 | 30 | No | Non-Travel | 990 | Maternity | 7 | 3 | Technical Degree | 1 | 3 | Male | 64 | 3 | 1 | Other | 3 | Divorced | 1274 | 7152 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1081412 | 57 | No | Travel_Rarely | 405 | Maternity | 1 | 2 | Life Sciences | 1 | 2 | Male | 93 | 4 | 2 | Other | 3 | Married | 4900 | 2721 | 0 | Y | No | 24 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 12 | 9 | 2 | 8 | |
| 1705514 | 49 | No | Travel_Rarely | 1490 | Maternity | 7 | 4 | Life Sciences | 1 | 3 | Male | 35 | 3 | 3 | Nurse | 2 | Divorced | 10466 | 20948 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 29 | 3 | 3 | 8 | 7 | 0 | 7 | |
| 1769488 | 34 | No | Travel_Frequently | 829 | Maternity | 15 | 3 | Medical | 1 | 2 | Male | 71 | 3 | 4 | Administrative | 1 | Divorced | 17007 | 11929 | 7 | Y | No | 14 | 3 | 4 | 80 | 2 | 16 | 3 | 2 | 14 | 8 | 6 | 9 | |
| 1678672 | 28 | No | Travel_Frequently | 1496 | Cardiology | 1 | 3 | Technical Degree | 1 | 1 | Male | 92 | 3 | 1 | Other | 3 | Married | 2909 | 15747 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 2 | |
| 1472943 | 29 | Yes | Travel_Frequently | 115 | Cardiology | 13 | 3 | Technical Degree | 1 | 1 | Female | 51 | 3 | 2 | Nurse | 2 | Single | 5765 | 17485 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 7 | 4 | 1 | 5 | 3 | 0 | 0 | |
| 1817745 | 34 | Yes | Travel_Rarely | 790 | Cardiology | 24 | 4 | Medical | 1 | 1 | Female | 40 | 2 | 2 | Nurse | 2 | Single | 4599 | 7815 | 0 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 16 | 2 | 4 | 15 | 9 | 10 | 10 | |
| 1218204 | 35 | No | Travel_Rarely | 660 | Cardiology | 7 | 1 | Life Sciences | 1 | 4 | Male | 76 | 3 | 1 | Other | 3 | Married | 2404 | 16192 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1812838 | 24 | Yes | Travel_Frequently | 381 | Maternity | 9 | 3 | Medical | 1 | 2 | Male | 89 | 3 | 1 | Nurse | 1 | Single | 3172 | 16998 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | |
| 1384737 | 24 | No | Non-Travel | 830 | Cardiology | 13 | 2 | Life Sciences | 1 | 4 | Female | 78 | 3 | 1 | Other | 2 | Married | 2033 | 7103 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1456798 | 44 | No | Travel_Frequently | 1193 | Neurology | 2 | 1 | Medical | 1 | 2 | Male | 86 | 3 | 3 | Therapist | 3 | Single | 10209 | 19719 | 5 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 16 | 2 | 2 | 2 | 2 | 2 | 2 | |
| 1075494 | 29 | No | Travel_Rarely | 1246 | Cardiology | 19 | 3 | Life Sciences | 1 | 3 | Male | 77 | 2 | 2 | Nurse | 3 | Divorced | 8620 | 23757 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 0 | 4 | |
| 1557335 | 30 | No | Travel_Rarely | 330 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Male | 46 | 3 | 1 | Other | 3 | Divorced | 2064 | 15428 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 6 | 3 | 4 | 5 | 3 | 1 | 3 | |
| 1498617 | 55 | No | Travel_Rarely | 1229 | Maternity | 4 | 4 | Life Sciences | 1 | 4 | Male | 30 | 3 | 2 | Nurse | 3 | Married | 4035 | 16143 | 0 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1732917 | 33 | No | Travel_Rarely | 1099 | Maternity | 4 | 4 | Medical | 1 | 1 | Female | 82 | 2 | 1 | Nurse | 2 | Married | 3838 | 8192 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 8 | 5 | 3 | 5 | 4 | 0 | 2 | |
| 1235079 | 47 | No | Travel_Rarely | 571 | Cardiology | 14 | 3 | Medical | 1 | 3 | Female | 78 | 3 | 2 | Nurse | 3 | Married | 4591 | 24200 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 5 | 4 | 1 | 2 | |
| 1473545 | 28 | Yes | Travel_Frequently | 289 | Maternity | 2 | 2 | Medical | 1 | 3 | Male | 38 | 2 | 1 | Nurse | 1 | Single | 2561 | 5355 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | |
| 1608433 | 28 | No | Travel_Rarely | 1423 | Maternity | 1 | 3 | Life Sciences | 1 | 1 | Male | 72 | 2 | 1 | Other | 3 | Divorced | 1563 | 12530 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | |
| 1768732 | 28 | No | Travel_Frequently | 467 | Cardiology | 7 | 3 | Life Sciences | 1 | 3 | Male | 55 | 3 | 2 | Nurse | 1 | Single | 4898 | 11827 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 5 | 5 | 3 | 4 | 2 | 1 | 3 | |
| 1255286 | 49 | No | Travel_Rarely | 271 | Maternity | 3 | 2 | Medical | 1 | 3 | Female | 43 | 2 | 2 | Nurse | 1 | Married | 4789 | 23070 | 4 | Y | No | 25 | 4 | 1 | 80 | 1 | 10 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1476766 | 29 | No | Travel_Frequently | 410 | Maternity | 2 | 1 | Life Sciences | 1 | 4 | Female | 97 | 3 | 1 | Nurse | 2 | Married | 3180 | 4668 | 0 | Y | No | 13 | 3 | 3 | 80 | 3 | 4 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1503842 | 28 | No | Travel_Rarely | 1083 | Maternity | 29 | 1 | Life Sciences | 1 | 3 | Male | 96 | 1 | 2 | Therapist | 2 | Married | 6549 | 3173 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 2 | 2 | 8 | 6 | 1 | 7 | |
| 1285005 | 33 | No | Travel_Rarely | 516 | Maternity | 8 | 5 | Life Sciences | 1 | 4 | Male | 69 | 3 | 2 | Nurse | 3 | Single | 6388 | 22049 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 14 | 6 | 3 | 0 | 0 | 0 | 0 | |
| 1700420 | 32 | No | Travel_Rarely | 495 | Neurology | 10 | 3 | Medical | 1 | 3 | Male | 64 | 3 | 3 | Other | 4 | Single | 11244 | 21072 | 2 | Y | No | 25 | 4 | 2 | 80 | 0 | 10 | 5 | 4 | 5 | 2 | 0 | 0 | |
| 1787068 | 54 | No | Travel_Frequently | 1050 | Neurology | 11 | 4 | Medical | 1 | 2 | Female | 87 | 3 | 4 | Other | 4 | Divorced | 16032 | 24456 | 3 | Y | No | 20 | 4 | 1 | 80 | 1 | 26 | 2 | 3 | 14 | 9 | 1 | 12 | |
| 1512296 | 29 | Yes | Travel_Rarely | 224 | Maternity | 1 | 4 | Technical Degree | 1 | 1 | Male | 100 | 2 | 1 | Other | 1 | Single | 2362 | 7568 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 11 | 2 | 1 | 9 | 7 | 0 | 7 | |
| 1225168 | 44 | No | Travel_Rarely | 136 | Maternity | 28 | 3 | Life Sciences | 1 | 4 | Male | 32 | 3 | 4 | Administrative | 1 | Married | 16328 | 22074 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 24 | 1 | 4 | 20 | 6 | 14 | 17 | |
| 1185178 | 39 | No | Travel_Rarely | 1089 | Neurology | 6 | 3 | Life Sciences | 1 | 2 | Female | 32 | 3 | 3 | Therapist | 2 | Single | 8376 | 9150 | 4 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 2 | 0 | 2 | 2 | |
| 1791733 | 46 | No | Travel_Rarely | 228 | Cardiology | 3 | 3 | Life Sciences | 1 | 3 | Female | 51 | 3 | 4 | Administrative | 2 | Married | 16606 | 11380 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 13 | 12 | 5 | 1 | |
| 1445455 | 35 | No | Travel_Rarely | 1029 | Maternity | 16 | 3 | Life Sciences | 1 | 4 | Female | 91 | 2 | 3 | Nurse | 2 | Single | 8606 | 21195 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 11 | 3 | 1 | 11 | 8 | 3 | 3 | |
| 1225098 | 23 | No | Travel_Rarely | 507 | Maternity | 20 | 1 | Life Sciences | 1 | 1 | Male | 97 | 3 | 2 | Nurse | 3 | Single | 2272 | 24812 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 2 | |
| 1161882 | 40 | Yes | Travel_Rarely | 676 | Maternity | 9 | 4 | Life Sciences | 1 | 4 | Male | 86 | 3 | 1 | Nurse | 1 | Single | 2018 | 21831 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 15 | 3 | 1 | 5 | 4 | 1 | 0 | |
| 1130650 | 34 | No | Travel_Rarely | 971 | Cardiology | 1 | 3 | Technical Degree | 1 | 4 | Male | 64 | 2 | 3 | Nurse | 3 | Married | 7083 | 12288 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 6 | |
| 1827679 | 31 | Yes | Travel_Frequently | 561 | Maternity | 3 | 3 | Life Sciences | 1 | 4 | Female | 33 | 3 | 1 | Other | 3 | Single | 4084 | 4156 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 7 | 2 | 7 | 7 | |
| 1385384 | 50 | No | Travel_Frequently | 333 | Maternity | 22 | 5 | Medical | 1 | 3 | Male | 88 | 1 | 4 | Administrative | 4 | Single | 14411 | 24450 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 32 | 2 | 3 | 32 | 6 | 13 | 9 | |
| 1489531 | 34 | No | Travel_Rarely | 1440 | Cardiology | 7 | 2 | Technical Degree | 1 | 2 | Male | 55 | 3 | 1 | Other | 3 | Married | 2308 | 4944 | 0 | Y | Yes | 25 | 4 | 2 | 80 | 1 | 12 | 4 | 3 | 11 | 10 | 5 | 7 | |
| 1879823 | 42 | No | Travel_Rarely | 1210 | Maternity | 2 | 3 | Medical | 1 | 3 | Male | 68 | 2 | 1 | Nurse | 2 | Married | 4841 | 24052 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1072437 | 37 | No | Travel_Rarely | 674 | Maternity | 13 | 3 | Medical | 1 | 1 | Male | 47 | 3 | 2 | Other | 4 | Married | 4285 | 3031 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 3 | 7 | |
| 1685917 | 29 | No | Travel_Rarely | 441 | Maternity | 8 | 1 | Other | 1 | 3 | Female | 39 | 1 | 2 | Nurse | 1 | Married | 9715 | 7288 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 9 | 3 | 3 | 7 | 7 | 0 | 7 | |
| 1144941 | 33 | No | Travel_Rarely | 575 | Maternity | 25 | 3 | Life Sciences | 1 | 4 | Male | 44 | 2 | 2 | Therapist | 2 | Single | 4320 | 24152 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 5 | 3 | 0 | 2 | |
| 1520707 | 45 | No | Travel_Rarely | 950 | Maternity | 28 | 3 | Technical Degree | 1 | 4 | Male | 97 | 3 | 1 | Other | 4 | Married | 2132 | 4585 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 5 | 4 | 0 | 3 | |
| 1655596 | 42 | No | Travel_Frequently | 288 | Maternity | 2 | 3 | Life Sciences | 1 | 4 | Male | 40 | 3 | 3 | Nurse | 4 | Married | 10124 | 18611 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 24 | 3 | 1 | 20 | 8 | 13 | 9 | |
| 1582511 | 40 | No | Travel_Rarely | 1342 | Cardiology | 9 | 2 | Medical | 1 | 1 | Male | 47 | 3 | 2 | Nurse | 1 | Married | 5473 | 19345 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 8 | 4 | 7 | 1 | |
| 1040101 | 33 | No | Travel_Rarely | 589 | Maternity | 28 | 4 | Life Sciences | 1 | 2 | Male | 79 | 3 | 2 | Nurse | 3 | Married | 5207 | 22949 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 5 | 7 | |
| 1795482 | 40 | No | Travel_Rarely | 898 | Neurology | 6 | 2 | Medical | 1 | 3 | Male | 38 | 3 | 4 | Administrative | 4 | Single | 16437 | 17381 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 21 | 2 | 3 | 21 | 7 | 7 | 7 | |
| 1487869 | 24 | No | Travel_Rarely | 350 | Maternity | 21 | 2 | Technical Degree | 1 | 3 | Male | 57 | 2 | 1 | Nurse | 1 | Divorced | 2296 | 10036 | 0 | Y | No | 14 | 3 | 2 | 80 | 3 | 2 | 3 | 3 | 1 | 1 | 0 | 0 | |
| 1757748 | 40 | No | Non-Travel | 1142 | Maternity | 8 | 2 | Life Sciences | 1 | 4 | Male | 72 | 3 | 2 | Nurse | 4 | Divorced | 4069 | 8841 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1044155 | 45 | No | Travel_Rarely | 538 | Maternity | 1 | 4 | Technical Degree | 1 | 1 | Male | 66 | 3 | 3 | Nurse | 2 | Divorced | 7441 | 20933 | 1 | Y | No | 12 | 3 | 1 | 80 | 3 | 10 | 4 | 3 | 10 | 8 | 7 | 7 | |
| 1751058 | 35 | No | Travel_Rarely | 1402 | Cardiology | 28 | 4 | Life Sciences | 1 | 2 | Female | 98 | 2 | 1 | Other | 3 | Married | 2430 | 26204 | 0 | Y | No | 23 | 4 | 1 | 80 | 2 | 6 | 5 | 3 | 5 | 3 | 4 | 2 | |
| 1800789 | 32 | No | Travel_Rarely | 824 | Maternity | 5 | 2 | Life Sciences | 1 | 4 | Female | 67 | 2 | 2 | Other | 2 | Married | 5878 | 15624 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 1 | 2 | 5 | |
| 1258148 | 36 | No | Travel_Rarely | 1157 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Male | 70 | 3 | 1 | Other | 4 | Single | 2644 | 17001 | 3 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 2 | 3 | 2 | 1 | 2 | |
| 1120429 | 48 | No | Travel_Rarely | 492 | Cardiology | 16 | 4 | Life Sciences | 1 | 3 | Female | 96 | 3 | 2 | Nurse | 3 | Divorced | 6439 | 13693 | 8 | Y | No | 14 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 8 | 7 | 7 | 7 | |
| 1604996 | 29 | No | Travel_Rarely | 598 | Maternity | 9 | 3 | Life Sciences | 1 | 3 | Male | 91 | 4 | 1 | Other | 3 | Married | 2451 | 22376 | 6 | Y | No | 18 | 3 | 1 | 80 | 2 | 5 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1152504 | 33 | No | Travel_Rarely | 1242 | Cardiology | 8 | 4 | Life Sciences | 1 | 1 | Male | 46 | 3 | 2 | Nurse | 1 | Married | 6392 | 10589 | 2 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 6 | 1 | 2 | 2 | 2 | 2 | |
| 1093589 | 30 | No | Travel_Rarely | 740 | Cardiology | 1 | 3 | Life Sciences | 1 | 2 | Male | 64 | 2 | 2 | Nurse | 1 | Married | 9714 | 5323 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 4 | 3 | 10 | 8 | 6 | 7 | |
| 1152723 | 38 | No | Travel_Frequently | 888 | Neurology | 10 | 4 | Human Resources | 1 | 3 | Male | 71 | 3 | 2 | Other | 3 | Married | 6077 | 14814 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 6 | 3 | 1 | 2 | |
| 1561423 | 35 | No | Travel_Rarely | 992 | Maternity | 1 | 3 | Medical | 1 | 4 | Male | 68 | 2 | 1 | Nurse | 1 | Single | 2450 | 21731 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 3 | 3 | 3 | 3 | 0 | 1 | 2 | |
| 1603233 | 30 | No | Travel_Rarely | 1288 | Cardiology | 29 | 4 | Technical Degree | 1 | 3 | Male | 33 | 3 | 3 | Nurse | 2 | Married | 9250 | 17799 | 3 | Y | No | 12 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 4 | 2 | 1 | 3 | |
| 1286513 | 35 | Yes | Travel_Rarely | 104 | Maternity | 2 | 3 | Life Sciences | 1 | 1 | Female | 69 | 3 | 1 | Nurse | 1 | Divorced | 2074 | 26619 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1313838 | 53 | No | Travel_Rarely | 607 | Neurology | 2 | 5 | Technical Degree | 1 | 3 | Female | 78 | 2 | 3 | Therapist | 4 | Married | 10169 | 14618 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 34 | 4 | 3 | 33 | 7 | 1 | 9 | |
| 1819647 | 38 | No | Travel_Rarely | 903 | Neurology | 2 | 3 | Medical | 1 | 3 | Male | 81 | 3 | 2 | Therapist | 2 | Married | 4855 | 7653 | 4 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 5 | 2 | 1 | 4 | |
| 1316836 | 32 | No | Non-Travel | 1200 | Maternity | 1 | 4 | Technical Degree | 1 | 4 | Male | 62 | 3 | 2 | Other | 1 | Married | 4087 | 25174 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 6 | 5 | 1 | 2 | |
| 1595159 | 48 | No | Travel_Rarely | 1108 | Maternity | 15 | 4 | Other | 1 | 3 | Female | 65 | 3 | 1 | Other | 1 | Married | 2367 | 16530 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 8 | 2 | 7 | 6 | |
| 1679356 | 34 | No | Travel_Rarely | 479 | Maternity | 7 | 4 | Medical | 1 | 1 | Male | 35 | 3 | 1 | Other | 4 | Single | 2972 | 22061 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | |
| 1729981 | 55 | No | Travel_Rarely | 685 | Cardiology | 26 | 5 | Marketing | 1 | 3 | Male | 60 | 2 | 5 | Administrative | 4 | Married | 19586 | 23037 | 1 | Y | No | 21 | 4 | 3 | 80 | 1 | 36 | 3 | 3 | 36 | 6 | 2 | 13 | |
| 1597323 | 34 | No | Travel_Rarely | 1351 | Maternity | 1 | 4 | Life Sciences | 1 | 2 | Male | 45 | 3 | 2 | Other | 4 | Married | 5484 | 13008 | 9 | Y | No | 17 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 2 | 2 | 2 | 1 | |
| 1765716 | 26 | No | Travel_Rarely | 474 | Maternity | 3 | 3 | Life Sciences | 1 | 1 | Female | 89 | 3 | 1 | Other | 4 | Married | 2061 | 11133 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1573518 | 38 | No | Travel_Rarely | 1245 | Cardiology | 14 | 3 | Life Sciences | 1 | 3 | Male | 80 | 3 | 2 | Nurse | 2 | Married | 9924 | 12355 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 9 | 8 | 7 | 7 | |
| 1755222 | 38 | No | Travel_Rarely | 437 | Cardiology | 16 | 3 | Life Sciences | 1 | 2 | Female | 90 | 3 | 2 | Nurse | 2 | Single | 4198 | 16379 | 2 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 5 | 4 | 3 | 2 | 1 | 2 | |
| 1689960 | 36 | No | Travel_Rarely | 884 | Cardiology | 1 | 4 | Life Sciences | 1 | 2 | Female | 73 | 3 | 2 | Nurse | 3 | Single | 6815 | 21447 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 15 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1321308 | 29 | No | Travel_Rarely | 1370 | Maternity | 3 | 1 | Medical | 1 | 2 | Male | 87 | 3 | 1 | Nurse | 1 | Single | 4723 | 16213 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 1 | 5 | |
| 1261502 | 35 | No | Travel_Rarely | 670 | Maternity | 10 | 4 | Medical | 1 | 1 | Female | 51 | 3 | 2 | Nurse | 3 | Single | 6142 | 4223 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 5 | 2 | 0 | 4 | |
| 1041532 | 39 | No | Travel_Rarely | 1462 | Cardiology | 6 | 3 | Medical | 1 | 4 | Male | 38 | 4 | 3 | Nurse | 3 | Married | 8237 | 4658 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 11 | 3 | 3 | 7 | 6 | 7 | 6 | |
| 1828789 | 29 | No | Travel_Frequently | 995 | Maternity | 2 | 1 | Life Sciences | 1 | 1 | Male | 87 | 3 | 2 | Nurse | 4 | Divorced | 8853 | 24483 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 6 | 0 | 4 | 6 | 4 | 1 | 3 | |
| 1638427 | 50 | No | Travel_Rarely | 264 | Cardiology | 9 | 3 | Marketing | 1 | 3 | Male | 59 | 3 | 5 | Administrative | 3 | Married | 19331 | 19519 | 4 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1788553 | 23 | No | Travel_Rarely | 977 | Maternity | 10 | 3 | Technical Degree | 1 | 4 | Male | 45 | 4 | 1 | Other | 3 | Married | 2073 | 12826 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1599847 | 36 | No | Travel_Frequently | 1302 | Maternity | 6 | 4 | Life Sciences | 1 | 1 | Male | 80 | 4 | 2 | Nurse | 1 | Married | 5562 | 19711 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 9 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1856176 | 42 | No | Travel_Rarely | 1059 | Neurology | 9 | 2 | Other | 1 | 4 | Male | 93 | 2 | 5 | Other | 4 | Single | 19613 | 26362 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 24 | 2 | 3 | 1 | 0 | 0 | 1 | |
| 1106946 | 35 | No | Travel_Rarely | 750 | Maternity | 28 | 3 | Life Sciences | 1 | 2 | Male | 46 | 4 | 2 | Nurse | 3 | Married | 3407 | 25348 | 1 | Y | No | 17 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 9 | 6 | 8 | |
| 1866800 | 34 | No | Travel_Frequently | 653 | Maternity | 10 | 4 | Technical Degree | 1 | 4 | Male | 92 | 2 | 2 | Nurse | 3 | Married | 5063 | 15332 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 8 | 2 | 7 | 7 | |
| 1492385 | 40 | No | Travel_Rarely | 118 | Cardiology | 14 | 2 | Life Sciences | 1 | 4 | Female | 84 | 3 | 2 | Nurse | 1 | Married | 4639 | 11262 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 2 | |
| 1463621 | 43 | No | Travel_Rarely | 990 | Maternity | 27 | 3 | Technical Degree | 1 | 4 | Male | 87 | 4 | 1 | Nurse | 2 | Divorced | 4876 | 5855 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 0 | 3 | 6 | 4 | 0 | 2 | |
| 1562191 | 35 | No | Travel_Rarely | 1349 | Maternity | 7 | 2 | Life Sciences | 1 | 3 | Male | 63 | 2 | 1 | Nurse | 4 | Married | 2690 | 7713 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 1 | 5 | 2 | 1 | 0 | 0 | 1 | |
| 1801915 | 46 | No | Travel_Rarely | 563 | Cardiology | 1 | 4 | Life Sciences | 1 | 4 | Male | 56 | 4 | 4 | Administrative | 1 | Single | 17567 | 3156 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 27 | 5 | 1 | 26 | 0 | 0 | 12 | |
| 1064286 | 28 | Yes | Travel_Rarely | 329 | Maternity | 24 | 3 | Medical | 1 | 3 | Male | 51 | 3 | 1 | Nurse | 2 | Married | 2408 | 7324 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 1 | 0 | 0 | |
| 1494533 | 22 | Yes | Non-Travel | 457 | Maternity | 26 | 2 | Other | 1 | 2 | Female | 85 | 2 | 1 | Other | 3 | Married | 2814 | 10293 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 2 | 1 | 3 | |
| 1618456 | 50 | No | Travel_Frequently | 1234 | Maternity | 20 | 5 | Medical | 1 | 2 | Male | 41 | 3 | 4 | Nurse | 3 | Married | 11245 | 20689 | 2 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 32 | 3 | 3 | 30 | 8 | 12 | 13 | |
| 1072876 | 32 | No | Travel_Rarely | 634 | Maternity | 5 | 4 | Other | 1 | 2 | Female | 35 | 4 | 1 | Other | 4 | Married | 3312 | 18783 | 3 | Y | No | 17 | 3 | 4 | 80 | 2 | 6 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1393835 | 44 | No | Travel_Rarely | 1313 | Maternity | 7 | 3 | Medical | 1 | 2 | Female | 31 | 3 | 5 | Administrative | 4 | Divorced | 19049 | 3549 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 23 | 4 | 2 | 22 | 7 | 1 | 10 | |
| 1466602 | 30 | No | Travel_Rarely | 241 | Maternity | 7 | 3 | Medical | 1 | 2 | Male | 48 | 2 | 1 | Other | 2 | Married | 2141 | 5348 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 6 | 3 | 2 | 6 | 4 | 1 | 1 | |
| 1135463 | 45 | No | Travel_Rarely | 1015 | Maternity | 5 | 5 | Medical | 1 | 3 | Female | 50 | 1 | 2 | Nurse | 1 | Single | 5769 | 23447 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 1 | 4 | |
| 1792202 | 45 | No | Non-Travel | 336 | Cardiology | 26 | 3 | Marketing | 1 | 1 | Male | 52 | 2 | 2 | Nurse | 1 | Married | 4385 | 24162 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 4 | 5 | |
| 1428612 | 31 | No | Travel_Frequently | 715 | Cardiology | 2 | 4 | Other | 1 | 4 | Male | 54 | 3 | 2 | Nurse | 1 | Single | 5332 | 21602 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 5 | 2 | 0 | 3 | |
| 1831818 | 36 | No | Travel_Rarely | 559 | Maternity | 12 | 4 | Life Sciences | 1 | 3 | Female | 76 | 3 | 2 | Therapist | 3 | Married | 4663 | 12421 | 9 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 7 | 2 | 3 | 3 | 2 | 1 | 1 | |
| 1624104 | 34 | No | Travel_Frequently | 426 | Maternity | 10 | 4 | Life Sciences | 1 | 3 | Male | 42 | 4 | 2 | Therapist | 4 | Divorced | 4724 | 17000 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 9 | 7 | 7 | 2 | |
| 1594457 | 49 | No | Travel_Rarely | 722 | Maternity | 25 | 4 | Life Sciences | 1 | 3 | Female | 84 | 3 | 1 | Nurse | 1 | Married | 3211 | 22102 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 6 | 1 | 4 | |
| 1871083 | 39 | No | Travel_Rarely | 1387 | Maternity | 10 | 5 | Medical | 1 | 2 | Male | 76 | 3 | 2 | Therapist | 1 | Married | 5377 | 3835 | 2 | Y | No | 13 | 3 | 4 | 80 | 3 | 10 | 3 | 3 | 7 | 7 | 7 | 7 | |
| 1448152 | 27 | No | Travel_Rarely | 1302 | Maternity | 19 | 3 | Other | 1 | 4 | Male | 67 | 2 | 1 | Nurse | 1 | Divorced | 4066 | 16290 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 3 | 3 | 7 | 7 | 0 | 7 | |
| 1577752 | 35 | No | Travel_Rarely | 819 | Maternity | 18 | 5 | Life Sciences | 1 | 2 | Male | 48 | 4 | 2 | Other | 1 | Married | 5208 | 26312 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 2 | 3 | 16 | 15 | 1 | 10 | |
| 1475967 | 28 | No | Travel_Rarely | 580 | Maternity | 27 | 3 | Medical | 1 | 2 | Female | 39 | 1 | 2 | Therapist | 1 | Divorced | 4877 | 20460 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 0 | |
| 1797790 | 21 | No | Travel_Rarely | 546 | Maternity | 5 | 1 | Medical | 1 | 3 | Male | 97 | 3 | 1 | Other | 4 | Single | 3117 | 26009 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1741354 | 18 | Yes | Travel_Frequently | 544 | Cardiology | 3 | 2 | Medical | 1 | 2 | Female | 70 | 3 | 1 | Other | 4 | Single | 1569 | 18420 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 | |
| 1665873 | 47 | No | Travel_Rarely | 1176 | Neurology | 26 | 4 | Life Sciences | 1 | 4 | Female | 98 | 3 | 5 | Administrative | 3 | Married | 19658 | 5220 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 5 | 2 | 1 | 0 | |
| 1604086 | 39 | No | Travel_Rarely | 170 | Maternity | 3 | 2 | Medical | 1 | 3 | Male | 76 | 2 | 2 | Nurse | 3 | Divorced | 3069 | 10302 | 0 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 10 | 8 | 0 | 7 | |
| 1687357 | 40 | No | Travel_Rarely | 884 | Maternity | 15 | 3 | Life Sciences | 1 | 1 | Female | 80 | 2 | 3 | Therapist | 3 | Married | 10435 | 25800 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 18 | 2 | 3 | 18 | 15 | 14 | 12 | |
| 1645854 | 35 | No | Non-Travel | 208 | Maternity | 8 | 4 | Life Sciences | 1 | 3 | Female | 52 | 3 | 2 | Nurse | 3 | Married | 4148 | 12250 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 15 | 5 | 3 | 14 | 11 | 2 | 9 | |
| 1693873 | 37 | No | Travel_Rarely | 671 | Maternity | 19 | 3 | Life Sciences | 1 | 3 | Male | 85 | 3 | 2 | Therapist | 3 | Married | 5768 | 26493 | 3 | Y | No | 17 | 3 | 1 | 80 | 3 | 9 | 2 | 2 | 4 | 3 | 0 | 2 | |
| 1032199 | 39 | No | Travel_Frequently | 711 | Neurology | 4 | 3 | Medical | 1 | 1 | Female | 81 | 3 | 2 | Therapist | 3 | Single | 5042 | 3140 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 1 | 9 | 2 | 3 | 8 | |
| 1646893 | 45 | No | Travel_Rarely | 1329 | Neurology | 2 | 2 | Other | 1 | 4 | Female | 59 | 2 | 2 | Therapist | 4 | Divorced | 5770 | 5388 | 1 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 3 | 9 | |
| 1641732 | 38 | No | Travel_Rarely | 397 | Neurology | 2 | 2 | Medical | 1 | 4 | Female | 54 | 2 | 3 | Therapist | 3 | Married | 7756 | 14199 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 10 | 6 | 4 | 5 | 4 | 0 | 2 | |
| 1626748 | 35 | No | Travel_Rarely | 737 | Cardiology | 10 | 3 | Medical | 1 | 4 | Male | 55 | 2 | 3 | Nurse | 1 | Married | 10306 | 21530 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 15 | 3 | 3 | 13 | 12 | 6 | 0 | |
| 1552731 | 37 | No | Travel_Rarely | 1470 | Maternity | 10 | 3 | Medical | 1 | 2 | Female | 71 | 3 | 1 | Other | 2 | Married | 3936 | 9953 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 2 | 1 | 8 | 4 | 7 | 7 | |
| 1294986 | 40 | No | Travel_Rarely | 448 | Maternity | 16 | 3 | Life Sciences | 1 | 3 | Female | 84 | 3 | 3 | Therapist | 4 | Single | 7945 | 19948 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 4 | 2 | 3 | 3 | |
| 1219188 | 44 | No | Travel_Frequently | 602 | Neurology | 1 | 5 | Human Resources | 1 | 1 | Male | 37 | 3 | 2 | Other | 4 | Married | 5743 | 10503 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 14 | 3 | 3 | 10 | 7 | 0 | 2 | |
| 1533221 | 48 | No | Travel_Frequently | 365 | Neurology | 4 | 5 | Medical | 1 | 3 | Male | 89 | 2 | 4 | Other | 4 | Married | 15202 | 5602 | 2 | Y | No | 25 | 4 | 2 | 80 | 1 | 23 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1107055 | 35 | Yes | Travel_Rarely | 763 | Cardiology | 15 | 2 | Medical | 1 | 1 | Male | 59 | 1 | 2 | Nurse | 4 | Divorced | 5440 | 22098 | 6 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 7 | 2 | 2 | 2 | 2 | 2 | 2 | |
| 1644021 | 24 | Yes | Travel_Frequently | 567 | Maternity | 2 | 1 | Technical Degree | 1 | 1 | Female | 32 | 3 | 1 | Other | 4 | Single | 3760 | 17218 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 6 | 3 | 1 | 3 | |
| 1236753 | 27 | No | Travel_Rarely | 486 | Maternity | 8 | 3 | Medical | 1 | 2 | Female | 86 | 4 | 1 | Other | 3 | Married | 3517 | 22490 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 5 | 0 | 3 | 3 | 2 | 0 | 2 | |
| 1731640 | 27 | No | Travel_Frequently | 591 | Maternity | 2 | 3 | Medical | 1 | 4 | Male | 87 | 3 | 1 | Other | 4 | Single | 2580 | 6297 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 0 | 2 | 4 | 2 | 1 | 2 | |
| 1883424 | 40 | Yes | Travel_Rarely | 1329 | Maternity | 7 | 3 | Life Sciences | 1 | 1 | Male | 73 | 3 | 1 | Nurse | 1 | Single | 2166 | 3339 | 3 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 10 | 3 | 1 | 4 | 2 | 0 | 3 | |
| 1202416 | 29 | No | Travel_Rarely | 469 | Cardiology | 10 | 3 | Medical | 1 | 3 | Male | 42 | 2 | 2 | Nurse | 3 | Single | 5869 | 23413 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 5 | 2 | 1 | 4 | |
| 1088912 | 36 | No | Travel_Rarely | 711 | Maternity | 5 | 4 | Life Sciences | 1 | 2 | Female | 42 | 3 | 3 | Nurse | 1 | Married | 8008 | 22792 | 4 | Y | No | 12 | 3 | 3 | 80 | 2 | 9 | 6 | 3 | 3 | 2 | 0 | 2 | |
| 1605956 | 25 | No | Travel_Frequently | 772 | Neurology | 2 | 1 | Life Sciences | 1 | 4 | Male | 77 | 4 | 2 | Therapist | 3 | Divorced | 5206 | 4973 | 1 | Y | No | 17 | 3 | 3 | 80 | 2 | 7 | 6 | 3 | 7 | 7 | 0 | 7 | |
| 1505937 | 39 | No | Travel_Rarely | 492 | Maternity | 12 | 3 | Medical | 1 | 4 | Male | 66 | 3 | 2 | Therapist | 2 | Married | 5295 | 7693 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 7 | 3 | 3 | 5 | 4 | 1 | 0 | |
| 1399370 | 49 | No | Travel_Rarely | 301 | Maternity | 22 | 4 | Other | 1 | 1 | Female | 72 | 3 | 4 | Administrative | 2 | Married | 16413 | 3498 | 3 | Y | No | 16 | 3 | 2 | 80 | 2 | 27 | 2 | 3 | 4 | 2 | 1 | 2 | |
| 1761884 | 50 | No | Travel_Rarely | 813 | Maternity | 17 | 5 | Life Sciences | 1 | 4 | Female | 50 | 2 | 3 | Administrative | 1 | Divorced | 13269 | 21981 | 5 | Y | No | 15 | 3 | 3 | 80 | 3 | 19 | 3 | 3 | 14 | 11 | 1 | 11 | |
| 1769167 | 20 | No | Travel_Rarely | 1141 | Cardiology | 2 | 3 | Medical | 1 | 3 | Female | 31 | 3 | 1 | Other | 3 | Single | 2783 | 13251 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1547090 | 34 | No | Travel_Rarely | 1130 | Maternity | 3 | 3 | Life Sciences | 1 | 4 | Female | 66 | 3 | 2 | Other | 2 | Divorced | 5433 | 19332 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 2 | 3 | 11 | 8 | 7 | 9 | |
| 1246015 | 36 | No | Travel_Rarely | 311 | Maternity | 7 | 3 | Life Sciences | 1 | 1 | Male | 77 | 3 | 1 | Nurse | 2 | Single | 2013 | 10950 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 4 | 3 | 4 | 3 | 1 | 3 | |
| 1254079 | 49 | No | Travel_Rarely | 465 | Maternity | 6 | 1 | Life Sciences | 1 | 3 | Female | 41 | 2 | 4 | Nurse | 3 | Married | 13966 | 11652 | 2 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 30 | 3 | 3 | 15 | 11 | 2 | 12 | |
| 1860095 | 36 | No | Non-Travel | 894 | Neurology | 1 | 4 | Medical | 1 | 4 | Female | 33 | 2 | 2 | Therapist | 3 | Married | 4374 | 15411 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 4 | 6 | 3 | 3 | 2 | 1 | 2 | |
| 1602610 | 36 | No | Travel_Rarely | 1040 | Maternity | 3 | 2 | Life Sciences | 1 | 4 | Male | 79 | 4 | 2 | Nurse | 1 | Divorced | 6842 | 26308 | 6 | Y | No | 20 | 4 | 1 | 80 | 1 | 13 | 3 | 3 | 5 | 4 | 0 | 4 | |
| 1364047 | 54 | No | Travel_Rarely | 584 | Neurology | 22 | 5 | Medical | 1 | 2 | Female | 91 | 3 | 4 | Other | 3 | Married | 17426 | 18685 | 3 | Y | No | 25 | 4 | 3 | 80 | 1 | 36 | 6 | 3 | 10 | 8 | 4 | 7 | |
| 1872403 | 43 | No | Travel_Rarely | 1291 | Maternity | 15 | 2 | Life Sciences | 1 | 3 | Male | 65 | 2 | 4 | Administrative | 3 | Married | 17603 | 3525 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 14 | 3 | 3 | 14 | 10 | 6 | 11 | |
| 1705436 | 35 | No | Travel_Frequently | 880 | Cardiology | 12 | 4 | Other | 1 | 4 | Male | 36 | 3 | 2 | Nurse | 4 | Single | 4581 | 10414 | 3 | Y | Yes | 24 | 4 | 1 | 80 | 0 | 13 | 2 | 4 | 11 | 9 | 6 | 7 | |
| 1607161 | 38 | No | Travel_Frequently | 1189 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 90 | 3 | 2 | Other | 4 | Married | 4735 | 9867 | 7 | Y | No | 15 | 3 | 4 | 80 | 2 | 19 | 4 | 4 | 13 | 11 | 2 | 9 | |
| 1706059 | 29 | No | Travel_Rarely | 991 | Cardiology | 5 | 3 | Medical | 1 | 1 | Male | 43 | 2 | 2 | Nurse | 2 | Divorced | 4187 | 3356 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 10 | 0 | 0 | 9 | |
| 1574111 | 33 | No | Travel_Rarely | 392 | Cardiology | 2 | 4 | Medical | 1 | 4 | Male | 93 | 3 | 2 | Nurse | 4 | Divorced | 5505 | 3921 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 5 | 3 | 6 | 2 | 0 | 4 | |
| 1200755 | 32 | No | Travel_Rarely | 977 | Maternity | 2 | 3 | Medical | 1 | 4 | Male | 45 | 3 | 2 | Other | 2 | Divorced | 5470 | 25518 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 10 | 4 | 2 | 9 | 5 | 1 | 6 | |
| 1068460 | 31 | No | Travel_Rarely | 1112 | Cardiology | 5 | 4 | Life Sciences | 1 | 1 | Female | 67 | 3 | 2 | Nurse | 4 | Married | 5476 | 22589 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 10 | 0 | 0 | 2 | |
| 1796122 | 49 | No | Travel_Rarely | 464 | Maternity | 16 | 3 | Medical | 1 | 4 | Female | 74 | 3 | 1 | Nurse | 1 | Divorced | 2587 | 24941 | 4 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 17 | 2 | 2 | 2 | 2 | 2 | 2 | |
| 1728347 | 38 | No | Travel_Frequently | 148 | Maternity | 2 | 3 | Medical | 1 | 4 | Female | 42 | 2 | 1 | Nurse | 2 | Single | 2440 | 23826 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 3 | 3 | 3 | |
| 1817017 | 47 | No | Travel_Rarely | 1225 | Cardiology | 2 | 4 | Life Sciences | 1 | 2 | Female | 47 | 4 | 4 | Administrative | 2 | Divorced | 15972 | 21086 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 29 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1400072 | 49 | No | Travel_Rarely | 809 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Male | 36 | 3 | 4 | Other | 3 | Single | 15379 | 22384 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 23 | 2 | 3 | 8 | 7 | 0 | 0 | |
| 1349913 | 41 | No | Travel_Rarely | 1206 | Cardiology | 23 | 2 | Life Sciences | 1 | 4 | Male | 80 | 3 | 3 | Nurse | 3 | Single | 7082 | 11591 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 2 | 0 | 0 | 2 | |
| 1119867 | 20 | No | Travel_Rarely | 727 | Cardiology | 9 | 1 | Life Sciences | 1 | 4 | Male | 54 | 3 | 1 | Other | 1 | Single | 2728 | 21082 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 | |
| 1060815 | 33 | No | Non-Travel | 530 | Cardiology | 16 | 3 | Life Sciences | 1 | 3 | Female | 36 | 3 | 2 | Nurse | 4 | Divorced | 5368 | 16130 | 1 | Y | Yes | 25 | 4 | 3 | 80 | 1 | 7 | 2 | 3 | 6 | 5 | 1 | 2 | |
| 1097742 | 36 | No | Travel_Rarely | 1351 | Maternity | 26 | 4 | Life Sciences | 1 | 1 | Male | 80 | 3 | 2 | Nurse | 3 | Married | 5347 | 7419 | 6 | Y | No | 14 | 3 | 2 | 80 | 2 | 10 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1711206 | 44 | No | Travel_Rarely | 528 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Female | 44 | 3 | 1 | Other | 4 | Divorced | 3195 | 4167 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1082389 | 23 | Yes | Travel_Rarely | 1320 | Maternity | 8 | 1 | Medical | 1 | 4 | Male | 93 | 2 | 1 | Nurse | 3 | Single | 3989 | 20586 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 2 | 3 | 5 | 4 | 1 | 2 | |
| 1588527 | 38 | No | Travel_Rarely | 1495 | Maternity | 4 | 2 | Medical | 1 | 4 | Female | 87 | 3 | 1 | Nurse | 3 | Married | 3306 | 26176 | 7 | Y | No | 19 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | |
| 1590426 | 53 | No | Travel_Rarely | 1395 | Maternity | 24 | 4 | Medical | 1 | 2 | Male | 48 | 4 | 3 | Nurse | 4 | Married | 7005 | 3458 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 4 | 3 | 1 | 2 | |
| 1425001 | 48 | No | Travel_Frequently | 708 | Cardiology | 7 | 2 | Medical | 1 | 4 | Female | 95 | 3 | 1 | Other | 3 | Married | 2655 | 11740 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 19 | 3 | 3 | 9 | 7 | 7 | 7 | |
| 1609527 | 32 | No | Travel_Rarely | 1259 | Maternity | 2 | 4 | Life Sciences | 1 | 4 | Male | 95 | 3 | 1 | Nurse | 2 | Single | 1393 | 24852 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1366639 | 26 | No | Non-Travel | 786 | Maternity | 7 | 3 | Medical | 1 | 4 | Male | 76 | 3 | 1 | Nurse | 4 | Single | 2570 | 11925 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 5 | 7 | |
| 1270535 | 55 | No | Travel_Rarely | 1441 | Maternity | 22 | 3 | Technical Degree | 1 | 1 | Male | 94 | 2 | 1 | Other | 2 | Divorced | 3537 | 23737 | 5 | Y | No | 12 | 3 | 4 | 80 | 1 | 8 | 1 | 3 | 4 | 2 | 1 | 2 | |
| 1826482 | 34 | No | Travel_Rarely | 1157 | Maternity | 5 | 2 | Medical | 1 | 2 | Male | 57 | 2 | 2 | Nurse | 4 | Married | 3986 | 11912 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 4 | 15 | 10 | 4 | 13 | |
| 1718662 | 60 | No | Travel_Rarely | 370 | Maternity | 1 | 4 | Medical | 1 | 3 | Male | 92 | 1 | 3 | Nurse | 4 | Divorced | 10883 | 20467 | 3 | Y | No | 20 | 4 | 3 | 80 | 1 | 19 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1248055 | 33 | No | Travel_Rarely | 267 | Maternity | 21 | 3 | Medical | 1 | 2 | Male | 79 | 4 | 1 | Nurse | 2 | Married | 2028 | 13637 | 1 | Y | No | 18 | 3 | 4 | 80 | 3 | 14 | 6 | 3 | 14 | 11 | 2 | 13 | |
| 1430170 | 37 | No | Travel_Frequently | 1278 | Cardiology | 1 | 4 | Medical | 1 | 3 | Male | 31 | 1 | 2 | Nurse | 4 | Divorced | 9525 | 7677 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 2 | 2 | 6 | 3 | 1 | 3 | |
| 1830378 | 34 | No | Travel_Rarely | 678 | Maternity | 19 | 3 | Life Sciences | 1 | 2 | Female | 35 | 2 | 1 | Other | 4 | Married | 2929 | 20338 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 7 | |
| 1810874 | 23 | No | Travel_Rarely | 427 | Cardiology | 7 | 3 | Life Sciences | 1 | 3 | Male | 99 | 3 | 1 | Other | 4 | Divorced | 2275 | 25103 | 1 | Y | Yes | 21 | 4 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1287552 | 44 | No | Travel_Rarely | 921 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Female | 96 | 4 | 3 | Nurse | 4 | Married | 7879 | 14810 | 1 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 9 | 2 | 3 | 8 | 7 | 6 | 7 | |
| 1432173 | 35 | No | Travel_Frequently | 146 | Maternity | 2 | 4 | Medical | 1 | 1 | Male | 79 | 2 | 1 | Other | 4 | Single | 4930 | 13970 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 | |
| 1499458 | 43 | No | Travel_Rarely | 1179 | Cardiology | 2 | 3 | Medical | 1 | 4 | Male | 73 | 3 | 2 | Nurse | 4 | Married | 7847 | 6069 | 1 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 9 | 8 | 8 | |
| 1622897 | 24 | No | Travel_Rarely | 581 | Maternity | 9 | 3 | Medical | 1 | 3 | Male | 62 | 4 | 1 | Other | 3 | Married | 4401 | 17616 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 5 | 1 | 3 | 5 | 3 | 0 | 4 | |
| 1374267 | 41 | No | Travel_Rarely | 918 | Cardiology | 6 | 3 | Marketing | 1 | 4 | Male | 35 | 3 | 3 | Nurse | 3 | Single | 9241 | 15869 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 8 | 7 | |
| 1125172 | 29 | No | Travel_Rarely | 1082 | Maternity | 9 | 4 | Medical | 1 | 4 | Female | 43 | 3 | 1 | Nurse | 3 | Married | 2974 | 25412 | 9 | Y | No | 17 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 5 | 3 | 1 | 2 | |
| 1569964 | 36 | No | Travel_Rarely | 530 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Female | 51 | 3 | 2 | Other | 4 | Single | 4502 | 7439 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 17 | 2 | 2 | 13 | 7 | 6 | 7 | |
| 1689576 | 45 | No | Non-Travel | 1238 | Maternity | 1 | 1 | Life Sciences | 1 | 3 | Male | 74 | 2 | 3 | Nurse | 3 | Married | 10748 | 3395 | 3 | Y | No | 23 | 4 | 4 | 80 | 1 | 25 | 3 | 2 | 23 | 15 | 14 | 4 | |
| 1297488 | 24 | Yes | Travel_Rarely | 240 | Neurology | 22 | 1 | Human Resources | 1 | 4 | Male | 58 | 1 | 1 | Other | 3 | Married | 1555 | 11585 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1675357 | 47 | Yes | Travel_Frequently | 1093 | Cardiology | 9 | 3 | Life Sciences | 1 | 3 | Male | 82 | 1 | 4 | Nurse | 3 | Married | 12936 | 24164 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 25 | 3 | 1 | 23 | 5 | 14 | 10 | |
| 1704363 | 26 | No | Travel_Rarely | 390 | Maternity | 17 | 4 | Medical | 1 | 4 | Male | 62 | 1 | 1 | Nurse | 3 | Married | 2305 | 6217 | 1 | Y | No | 15 | 3 | 3 | 80 | 3 | 3 | 3 | 4 | 3 | 2 | 0 | 2 | |
| 1554897 | 45 | No | Travel_Rarely | 1005 | Maternity | 28 | 2 | Technical Degree | 1 | 4 | Female | 48 | 2 | 4 | Administrative | 2 | Single | 16704 | 17119 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 8 | 6 | |
| 1430466 | 32 | No | Travel_Frequently | 585 | Maternity | 10 | 3 | Life Sciences | 1 | 1 | Male | 56 | 3 | 1 | Other | 3 | Married | 3433 | 17360 | 6 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 5 | 2 | 1 | 3 | |
| 1205920 | 31 | No | Travel_Rarely | 741 | Maternity | 2 | 4 | Life Sciences | 1 | 2 | Male | 69 | 3 | 1 | Nurse | 3 | Married | 3477 | 18103 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 6 | 2 | 4 | 5 | 2 | 0 | 3 | |
| 1702718 | 41 | No | Non-Travel | 552 | Neurology | 4 | 3 | Human Resources | 1 | 3 | Male | 60 | 1 | 2 | Other | 2 | Married | 6430 | 20794 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 10 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1417199 | 40 | No | Travel_Rarely | 369 | Maternity | 8 | 2 | Life Sciences | 1 | 2 | Female | 92 | 3 | 2 | Therapist | 1 | Married | 6516 | 5041 | 2 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 18 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1078051 | 24 | No | Travel_Rarely | 506 | Maternity | 29 | 1 | Medical | 1 | 2 | Male | 91 | 3 | 1 | Nurse | 1 | Divorced | 3907 | 3622 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 6 | 2 | 4 | 6 | 2 | 1 | 2 | |
| 1146326 | 46 | No | Travel_Rarely | 717 | Maternity | 13 | 4 | Life Sciences | 1 | 3 | Male | 34 | 3 | 2 | Nurse | 2 | Single | 5562 | 9697 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 19 | 3 | 3 | 10 | 7 | 0 | 9 | |
| 1044017 | 35 | No | Travel_Rarely | 1370 | Maternity | 27 | 4 | Life Sciences | 1 | 4 | Male | 49 | 3 | 2 | Therapist | 3 | Married | 6883 | 5151 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 17 | 3 | 3 | 7 | 7 | 0 | 7 | |
| 1294406 | 30 | No | Travel_Rarely | 793 | Maternity | 16 | 1 | Life Sciences | 1 | 2 | Male | 33 | 3 | 1 | Other | 4 | Married | 2862 | 3811 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 2 | 10 | 0 | 0 | 8 | |
| 1280706 | 47 | No | Non-Travel | 543 | Cardiology | 2 | 4 | Marketing | 1 | 3 | Male | 87 | 3 | 2 | Nurse | 2 | Married | 4978 | 3536 | 7 | Y | No | 11 | 3 | 4 | 80 | 1 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | |
| 1488805 | 46 | No | Travel_Rarely | 1277 | Cardiology | 2 | 3 | Life Sciences | 1 | 3 | Male | 74 | 3 | 3 | Nurse | 4 | Divorced | 10368 | 5596 | 4 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 2 | 10 | 6 | 0 | 3 | |
| 1315940 | 36 | No | Travel_Rarely | 1456 | Cardiology | 13 | 5 | Marketing | 1 | 2 | Male | 96 | 2 | 2 | Nurse | 1 | Divorced | 6134 | 8658 | 5 | Y | Yes | 13 | 3 | 2 | 80 | 3 | 16 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1878824 | 32 | Yes | Travel_Rarely | 964 | Cardiology | 1 | 2 | Life Sciences | 1 | 1 | Male | 34 | 1 | 2 | Nurse | 2 | Single | 6735 | 12147 | 6 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1658260 | 23 | No | Travel_Rarely | 160 | Maternity | 4 | 1 | Medical | 1 | 3 | Female | 51 | 3 | 1 | Nurse | 2 | Single | 3295 | 12862 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 3 | 3 | 1 | 3 | 2 | 1 | 2 | |
| 1246363 | 31 | No | Travel_Frequently | 163 | Maternity | 24 | 1 | Technical Degree | 1 | 4 | Female | 30 | 3 | 2 | Therapist | 4 | Single | 5238 | 6670 | 2 | Y | No | 20 | 4 | 4 | 80 | 0 | 9 | 3 | 2 | 5 | 4 | 1 | 4 | |
| 1360469 | 39 | No | Non-Travel | 792 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 77 | 3 | 2 | Nurse | 4 | Married | 6472 | 8989 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 5 | 8 | |
| 1412303 | 32 | No | Travel_Rarely | 371 | Cardiology | 19 | 3 | Life Sciences | 1 | 4 | Male | 80 | 1 | 3 | Nurse | 3 | Married | 9610 | 3840 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 10 | 2 | 1 | 4 | 3 | 0 | 2 | |
| 1360714 | 40 | No | Travel_Rarely | 611 | Cardiology | 7 | 4 | Medical | 1 | 2 | Male | 88 | 3 | 5 | Administrative | 2 | Single | 19833 | 4349 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 21 | 3 | 2 | 21 | 8 | 12 | 8 | |
| 1383815 | 45 | No | Travel_Rarely | 176 | Neurology | 4 | 3 | Life Sciences | 1 | 3 | Female | 56 | 1 | 3 | Other | 3 | Married | 9756 | 6595 | 4 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 2 | 4 | 5 | 0 | 0 | 3 | |
| 1620383 | 30 | No | Travel_Frequently | 1312 | Maternity | 2 | 4 | Technical Degree | 1 | 4 | Female | 78 | 2 | 1 | Other | 1 | Single | 4968 | 26427 | 0 | Y | No | 16 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 0 | 7 | |
| 1377529 | 24 | No | Travel_Frequently | 897 | Neurology | 10 | 3 | Medical | 1 | 1 | Male | 59 | 3 | 1 | Other | 4 | Married | 2145 | 2097 | 0 | Y | No | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 1 | |
| 1828538 | 30 | Yes | Travel_Frequently | 600 | Neurology | 8 | 3 | Human Resources | 1 | 3 | Female | 66 | 2 | 1 | Other | 4 | Divorced | 2180 | 9732 | 6 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 0 | 2 | 4 | 2 | 1 | 2 | |
| 1692811 | 31 | No | Travel_Rarely | 1003 | Cardiology | 5 | 3 | Technical Degree | 1 | 1 | Male | 51 | 3 | 2 | Nurse | 3 | Married | 8346 | 20943 | 1 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 5 | 2 | 0 | 2 | |
| 1030937 | 27 | No | Travel_Rarely | 1054 | Maternity | 8 | 3 | Medical | 1 | 3 | Female | 67 | 3 | 1 | Other | 4 | Single | 3445 | 6152 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 5 | 2 | 6 | 2 | 1 | 4 | |
| 1838448 | 29 | Yes | Travel_Rarely | 428 | Cardiology | 9 | 3 | Marketing | 1 | 2 | Female | 52 | 1 | 1 | Other | 2 | Single | 2760 | 14630 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1176037 | 29 | No | Travel_Frequently | 461 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 70 | 4 | 2 | Nurse | 3 | Single | 6294 | 23060 | 8 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 5 | 4 | 3 | 2 | 0 | 2 | |
| 1764157 | 30 | No | Travel_Rarely | 979 | Cardiology | 15 | 2 | Marketing | 1 | 3 | Male | 94 | 2 | 3 | Nurse | 1 | Divorced | 7140 | 3088 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 7 | 1 | 7 | |
| 1483732 | 34 | No | Travel_Rarely | 181 | Maternity | 2 | 4 | Medical | 1 | 4 | Male | 97 | 4 | 1 | Other | 4 | Married | 2932 | 5586 | 0 | Y | Yes | 14 | 3 | 1 | 80 | 3 | 6 | 3 | 3 | 5 | 0 | 1 | 2 | |
| 1059340 | 33 | No | Non-Travel | 1283 | Cardiology | 2 | 3 | Marketing | 1 | 4 | Female | 62 | 3 | 2 | Nurse | 2 | Single | 5147 | 10697 | 8 | Y | No | 15 | 3 | 4 | 80 | 0 | 13 | 2 | 2 | 11 | 7 | 1 | 7 | |
| 1260966 | 49 | No | Travel_Rarely | 1313 | Cardiology | 11 | 4 | Marketing | 1 | 4 | Female | 80 | 3 | 2 | Nurse | 4 | Single | 4507 | 8191 | 3 | Y | No | 12 | 3 | 3 | 80 | 0 | 8 | 1 | 4 | 5 | 1 | 0 | 4 | |
| 1196870 | 33 | Yes | Travel_Rarely | 211 | Cardiology | 16 | 3 | Life Sciences | 1 | 1 | Female | 74 | 3 | 3 | Nurse | 1 | Single | 8564 | 10092 | 2 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 2 | 0 | 0 | 0 | 0 | |
| 1434954 | 38 | No | Travel_Frequently | 594 | Maternity | 2 | 2 | Medical | 1 | 3 | Female | 75 | 2 | 1 | Nurse | 2 | Married | 2468 | 15963 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 4 | 2 | 6 | 1 | 0 | 5 | |
| 1872248 | 31 | Yes | Travel_Rarely | 1079 | Cardiology | 16 | 4 | Marketing | 1 | 1 | Male | 70 | 3 | 3 | Nurse | 3 | Married | 8161 | 19002 | 2 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1498457 | 29 | No | Travel_Rarely | 590 | Maternity | 4 | 3 | Technical Degree | 1 | 4 | Female | 91 | 2 | 1 | Other | 1 | Divorced | 2109 | 10007 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1322097 | 30 | No | Travel_Rarely | 305 | Maternity | 16 | 3 | Life Sciences | 1 | 3 | Male | 58 | 4 | 2 | Nurse | 3 | Married | 5294 | 9128 | 3 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 0 | 1 | 7 | |
| 1400783 | 32 | No | Non-Travel | 953 | Maternity | 5 | 4 | Technical Degree | 1 | 2 | Male | 65 | 3 | 1 | Other | 2 | Single | 2718 | 17674 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 12 | 3 | 3 | 7 | 7 | 0 | 7 | |
| 1511863 | 38 | No | Travel_Rarely | 833 | Maternity | 18 | 3 | Medical | 1 | 2 | Male | 60 | 1 | 2 | Nurse | 4 | Married | 5811 | 24539 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 1 | 0 | |
| 1581569 | 43 | Yes | Travel_Frequently | 807 | Maternity | 17 | 3 | Technical Degree | 1 | 3 | Male | 38 | 2 | 1 | Other | 3 | Married | 2437 | 15587 | 9 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1628396 | 42 | No | Travel_Rarely | 855 | Maternity | 12 | 3 | Medical | 1 | 2 | Male | 57 | 3 | 1 | Nurse | 2 | Divorced | 2766 | 8952 | 8 | Y | No | 22 | 4 | 2 | 80 | 3 | 7 | 6 | 2 | 5 | 3 | 0 | 4 | |
| 1715321 | 55 | No | Travel_Rarely | 478 | Maternity | 2 | 3 | Medical | 1 | 3 | Male | 60 | 2 | 5 | Administrative | 1 | Married | 19038 | 19805 | 8 | Y | No | 12 | 3 | 2 | 80 | 3 | 34 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1541808 | 33 | No | Non-Travel | 775 | Maternity | 4 | 3 | Technical Degree | 1 | 4 | Male | 90 | 3 | 2 | Other | 2 | Divorced | 3055 | 6194 | 5 | Y | No | 15 | 3 | 4 | 80 | 2 | 11 | 2 | 2 | 9 | 8 | 1 | 7 | |
| 1479918 | 41 | No | Travel_Rarely | 548 | Maternity | 9 | 4 | Life Sciences | 1 | 3 | Male | 94 | 3 | 1 | Nurse | 1 | Divorced | 2289 | 20520 | 1 | Y | No | 20 | 4 | 2 | 80 | 2 | 5 | 2 | 3 | 5 | 3 | 0 | 4 | |
| 1404955 | 34 | No | Non-Travel | 1375 | Cardiology | 10 | 3 | Life Sciences | 1 | 4 | Male | 87 | 3 | 2 | Nurse | 3 | Divorced | 4001 | 12313 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 0 | 7 | |
| 1473417 | 53 | No | Non-Travel | 661 | Neurology | 1 | 4 | Medical | 1 | 1 | Female | 60 | 2 | 4 | Therapist | 3 | Married | 12965 | 22308 | 4 | Y | Yes | 20 | 4 | 4 | 80 | 3 | 27 | 2 | 2 | 3 | 2 | 0 | 2 | |
| 1778124 | 43 | No | Travel_Rarely | 244 | Neurology | 2 | 3 | Life Sciences | 1 | 2 | Male | 97 | 3 | 1 | Other | 4 | Single | 3539 | 5033 | 0 | Y | No | 13 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 9 | 7 | 1 | 8 | |
| 1143717 | 34 | No | Travel_Rarely | 511 | Cardiology | 3 | 2 | Life Sciences | 1 | 4 | Female | 32 | 1 | 2 | Nurse | 4 | Single | 6029 | 25353 | 5 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1193818 | 21 | Yes | Travel_Rarely | 337 | Cardiology | 7 | 1 | Marketing | 1 | 2 | Male | 31 | 3 | 1 | Other | 2 | Single | 2679 | 4567 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 1 | 0 | |
| 1795187 | 38 | No | Travel_Rarely | 1153 | Maternity | 6 | 2 | Other | 1 | 4 | Female | 40 | 2 | 1 | Nurse | 3 | Married | 3702 | 16376 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 5 | 4 | 0 | 4 | |
| 1241701 | 22 | Yes | Travel_Rarely | 1294 | Maternity | 8 | 1 | Medical | 1 | 3 | Female | 79 | 3 | 1 | Nurse | 1 | Married | 2398 | 15999 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1729178 | 31 | No | Travel_Rarely | 196 | Cardiology | 29 | 4 | Marketing | 1 | 1 | Female | 91 | 2 | 2 | Nurse | 4 | Married | 5468 | 13402 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 13 | 3 | 3 | 12 | 7 | 5 | 7 | |
| 1612699 | 51 | No | Travel_Rarely | 942 | Neurology | 3 | 3 | Technical Degree | 1 | 1 | Female | 53 | 3 | 3 | Other | 3 | Married | 13116 | 22984 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1880660 | 37 | No | Travel_Rarely | 589 | Cardiology | 9 | 2 | Marketing | 1 | 2 | Male | 46 | 2 | 2 | Nurse | 2 | Married | 4189 | 8800 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 5 | 2 | 0 | 3 | |
| 1275366 | 46 | No | Travel_Rarely | 734 | Maternity | 2 | 4 | Medical | 1 | 3 | Male | 46 | 3 | 5 | Administrative | 4 | Divorced | 19328 | 14218 | 7 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 24 | 3 | 3 | 2 | 1 | 2 | 2 | |
| 1377582 | 36 | No | Travel_Rarely | 1383 | Maternity | 10 | 3 | Life Sciences | 1 | 4 | Male | 90 | 3 | 3 | Nurse | 1 | Married | 8321 | 25949 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 15 | 1 | 3 | 12 | 8 | 5 | 7 | |
| 1590795 | 44 | No | Travel_Frequently | 429 | Maternity | 1 | 2 | Medical | 1 | 3 | Male | 99 | 3 | 1 | Other | 2 | Divorced | 2342 | 11092 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 2 | 5 | 3 | 2 | 3 | |
| 1554560 | 37 | No | Travel_Rarely | 1239 | Neurology | 8 | 2 | Other | 1 | 3 | Male | 89 | 3 | 2 | Other | 2 | Divorced | 4071 | 12832 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 19 | 4 | 2 | 10 | 0 | 4 | 7 | |
| 1563500 | 35 | Yes | Travel_Rarely | 303 | Cardiology | 27 | 3 | Life Sciences | 1 | 3 | Male | 84 | 3 | 2 | Nurse | 4 | Single | 5813 | 13492 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 7 | 7 | 7 | |
| 1287606 | 33 | No | Travel_Rarely | 867 | Maternity | 8 | 4 | Life Sciences | 1 | 4 | Male | 90 | 4 | 1 | Other | 1 | Married | 3143 | 6076 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 14 | 1 | 3 | 10 | 8 | 7 | 6 | |
| 1395052 | 28 | No | Travel_Rarely | 1181 | Maternity | 1 | 3 | Life Sciences | 1 | 3 | Male | 82 | 3 | 1 | Other | 4 | Married | 2044 | 5531 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 6 | 4 | 5 | 3 | 0 | 3 | |
| 1692699 | 39 | No | Travel_Rarely | 1253 | Maternity | 10 | 1 | Medical | 1 | 3 | Male | 65 | 3 | 3 | Administrative | 3 | Single | 13464 | 7914 | 7 | Y | No | 21 | 4 | 3 | 80 | 0 | 9 | 3 | 3 | 4 | 3 | 2 | 2 | |
| 1691971 | 46 | No | Non-Travel | 849 | Cardiology | 26 | 2 | Life Sciences | 1 | 2 | Male | 98 | 2 | 2 | Nurse | 2 | Single | 7991 | 25166 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1048578 | 40 | No | Travel_Rarely | 616 | Maternity | 2 | 2 | Life Sciences | 1 | 3 | Female | 99 | 3 | 1 | Nurse | 1 | Married | 3377 | 25605 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 4 | 3 | 0 | 2 | |
| 1874111 | 42 | No | Travel_Rarely | 1128 | Maternity | 13 | 3 | Medical | 1 | 2 | Male | 95 | 4 | 2 | Nurse | 1 | Married | 5538 | 5696 | 5 | Y | No | 18 | 3 | 3 | 80 | 2 | 10 | 2 | 2 | 0 | 0 | 0 | 0 | |
| 1083173 | 35 | No | Non-Travel | 1180 | Cardiology | 2 | 2 | Medical | 1 | 2 | Male | 90 | 3 | 2 | Therapist | 4 | Divorced | 5762 | 24442 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 6 | 3 | 7 | 7 | 1 | 7 | |
| 1819347 | 38 | No | Non-Travel | 1336 | Neurology | 2 | 3 | Human Resources | 1 | 1 | Male | 100 | 3 | 1 | Other | 2 | Divorced | 2592 | 7129 | 5 | Y | No | 13 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 11 | 10 | 3 | 8 | |
| 1645963 | 34 | No | Travel_Frequently | 234 | Neurology | 9 | 4 | Life Sciences | 1 | 4 | Male | 93 | 3 | 2 | Nurse | 1 | Married | 5346 | 6208 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 11 | 3 | 2 | 7 | 1 | 0 | 7 | |
| 1174838 | 37 | No | Travel_Rarely | 370 | Cardiology | 10 | 4 | Medical | 1 | 4 | Male | 58 | 3 | 2 | Therapist | 1 | Single | 4213 | 4992 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 4 | 1 | 10 | 3 | 0 | 8 | |
| 1751502 | 39 | No | Travel_Frequently | 766 | Cardiology | 20 | 3 | Life Sciences | 1 | 3 | Male | 83 | 3 | 2 | Nurse | 4 | Divorced | 4127 | 19188 | 2 | Y | No | 18 | 3 | 4 | 80 | 1 | 7 | 6 | 3 | 2 | 1 | 2 | 2 | |
| 1117560 | 43 | No | Non-Travel | 343 | Neurology | 9 | 3 | Life Sciences | 1 | 1 | Male | 52 | 3 | 1 | Other | 3 | Single | 2438 | 24978 | 4 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 2 | 2 | 3 | 2 | 1 | 2 | |
| 1206981 | 41 | No | Travel_Rarely | 447 | Neurology | 5 | 3 | Life Sciences | 1 | 2 | Male | 85 | 4 | 2 | Nurse | 2 | Single | 6870 | 15530 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 11 | 3 | 1 | 3 | 2 | 1 | 2 | |
| 1711876 | 41 | No | Travel_Rarely | 796 | Cardiology | 4 | 1 | Marketing | 1 | 3 | Female | 81 | 3 | 3 | Nurse | 3 | Divorced | 10447 | 26458 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 23 | 3 | 4 | 22 | 14 | 13 | 5 | |
| 1366196 | 30 | No | Travel_Rarely | 1092 | Cardiology | 10 | 3 | Medical | 1 | 1 | Female | 64 | 3 | 3 | Therapist | 3 | Single | 9667 | 2739 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 7 | 7 | 0 | 2 | |
| 1347924 | 26 | No | Travel_Rarely | 920 | Neurology | 20 | 2 | Medical | 1 | 4 | Female | 69 | 3 | 1 | Other | 2 | Married | 2148 | 6889 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 1 | 1 | 4 | |
| 1140520 | 46 | No | Travel_Rarely | 261 | Neurology | 21 | 2 | Medical | 1 | 4 | Female | 66 | 3 | 2 | Nurse | 2 | Married | 8926 | 10842 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 13 | 2 | 4 | 9 | 7 | 3 | 7 | |
| 1187455 | 40 | No | Travel_Rarely | 1194 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Female | 52 | 3 | 2 | Nurse | 4 | Divorced | 6513 | 9060 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 0 | 3 | |
| 1645498 | 34 | No | Travel_Rarely | 810 | Cardiology | 8 | 2 | Technical Degree | 1 | 2 | Male | 92 | 4 | 2 | Nurse | 3 | Married | 6799 | 22128 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 10 | 5 | 3 | 10 | 8 | 4 | 8 | |
| 1382530 | 58 | No | Non-Travel | 350 | Cardiology | 2 | 3 | Medical | 1 | 2 | Male | 52 | 3 | 4 | Administrative | 2 | Divorced | 16291 | 22577 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 37 | 0 | 2 | 16 | 9 | 14 | 14 | |
| 1682292 | 35 | No | Travel_Rarely | 185 | Neurology | 23 | 4 | Medical | 1 | 2 | Male | 91 | 1 | 1 | Nurse | 3 | Married | 2705 | 9696 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 2 | 4 | 5 | 4 | 0 | 3 | |
| 1602874 | 47 | No | Travel_Rarely | 1001 | Cardiology | 4 | 3 | Life Sciences | 1 | 3 | Female | 92 | 2 | 3 | Therapist | 2 | Divorced | 10333 | 19271 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 28 | 4 | 3 | 22 | 11 | 14 | 10 | |
| 1154770 | 40 | No | Travel_Rarely | 750 | Neurology | 12 | 3 | Life Sciences | 1 | 2 | Female | 47 | 3 | 2 | Nurse | 1 | Divorced | 4448 | 10748 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 7 | 4 | 7 | 7 | |
| 1051875 | 54 | No | Travel_Rarely | 431 | Neurology | 7 | 4 | Medical | 1 | 4 | Female | 68 | 3 | 2 | Other | 4 | Married | 6854 | 15696 | 4 | Y | No | 15 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 7 | 1 | 1 | 7 | |
| 1834180 | 31 | No | Travel_Frequently | 1125 | Cardiology | 7 | 4 | Marketing | 1 | 1 | Female | 68 | 3 | 3 | Nurse | 1 | Married | 9637 | 8277 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 3 | 3 | 2 | 2 | 2 | |
| 1564192 | 28 | No | Travel_Rarely | 1217 | Neurology | 1 | 3 | Medical | 1 | 3 | Female | 67 | 3 | 1 | Other | 1 | Married | 3591 | 12719 | 1 | Y | No | 25 | 4 | 3 | 80 | 1 | 3 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1802154 | 38 | No | Travel_Rarely | 723 | Cardiology | 2 | 4 | Marketing | 1 | 2 | Female | 77 | 1 | 2 | Other | 4 | Married | 5405 | 4244 | 2 | Y | Yes | 20 | 4 | 1 | 80 | 2 | 20 | 4 | 2 | 4 | 2 | 0 | 3 | |
| 1207662 | 26 | No | Travel_Rarely | 572 | Cardiology | 10 | 3 | Medical | 1 | 3 | Male | 46 | 3 | 2 | Nurse | 4 | Single | 4684 | 9125 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 5 | 3 | 1 | 2 | |
| 1072716 | 58 | No | Travel_Frequently | 1216 | Neurology | 15 | 4 | Life Sciences | 1 | 1 | Male | 87 | 3 | 4 | Administrative | 3 | Married | 15787 | 21624 | 2 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 23 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1086016 | 18 | Yes | Non-Travel | 1431 | Neurology | 14 | 3 | Medical | 1 | 2 | Female | 33 | 3 | 1 | Other | 3 | Single | 1514 | 8018 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 | |
| 1552861 | 31 | No | Travel_Rarely | 359 | Neurology | 18 | 5 | Human Resources | 1 | 4 | Male | 89 | 4 | 1 | Other | 1 | Married | 2956 | 21495 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 2 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1235468 | 29 | Yes | Travel_Rarely | 350 | Neurology | 13 | 3 | Human Resources | 1 | 1 | Male | 56 | 2 | 1 | Other | 1 | Divorced | 2335 | 3157 | 4 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 4 | 3 | 3 | 2 | 2 | 2 | 0 | |
| 1281331 | 45 | No | Non-Travel | 589 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Female | 67 | 3 | 2 | Nurse | 3 | Married | 5154 | 19665 | 4 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 3 | 4 | 8 | 7 | 5 | 7 | |
| 1220488 | 36 | No | Travel_Rarely | 430 | Neurology | 2 | 4 | Other | 1 | 4 | Female | 73 | 3 | 2 | Other | 2 | Married | 6962 | 19573 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1113271 | 43 | No | Travel_Frequently | 1422 | Cardiology | 2 | 4 | Life Sciences | 1 | 1 | Male | 92 | 3 | 2 | Nurse | 4 | Married | 5675 | 19246 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 7 | 5 | 3 | 7 | 7 | 7 | 7 | |
| 1152978 | 27 | No | Travel_Frequently | 1297 | Neurology | 5 | 2 | Life Sciences | 1 | 4 | Female | 53 | 3 | 1 | Nurse | 4 | Single | 2379 | 19826 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 4 | 0 | 2 | |
| 1871070 | 29 | No | Travel_Frequently | 574 | Neurology | 20 | 1 | Medical | 1 | 4 | Male | 40 | 3 | 1 | Nurse | 4 | Married | 3812 | 7003 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 11 | 3 | 4 | 11 | 8 | 3 | 10 | |
| 1687721 | 32 | No | Travel_Frequently | 1318 | Cardiology | 10 | 4 | Marketing | 1 | 4 | Male | 79 | 3 | 2 | Nurse | 4 | Single | 4648 | 26075 | 8 | Y | No | 13 | 3 | 3 | 80 | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 0 | |
| 1031664 | 42 | No | Non-Travel | 355 | Neurology | 10 | 4 | Technical Degree | 1 | 3 | Male | 38 | 3 | 1 | Other | 3 | Married | 2936 | 6161 | 3 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 1 | 2 | 6 | 3 | 3 | 3 | |
| 1402268 | 47 | No | Travel_Rarely | 207 | Neurology | 9 | 4 | Life Sciences | 1 | 2 | Female | 64 | 3 | 1 | Nurse | 3 | Single | 2105 | 5411 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 0 | |
| 1601963 | 46 | No | Travel_Rarely | 706 | Cardiology | 2 | 2 | Life Sciences | 1 | 4 | Male | 82 | 3 | 3 | Therapist | 4 | Divorced | 8578 | 19989 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 12 | 4 | 2 | 9 | 8 | 4 | 7 | |
| 1777794 | 28 | No | Non-Travel | 280 | Neurology | 1 | 2 | Life Sciences | 1 | 3 | Male | 43 | 3 | 1 | Other | 4 | Divorced | 2706 | 10494 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1510809 | 29 | No | Travel_Rarely | 726 | Neurology | 29 | 1 | Life Sciences | 1 | 4 | Male | 93 | 1 | 2 | Nurse | 3 | Divorced | 6384 | 21143 | 8 | Y | No | 17 | 3 | 4 | 80 | 2 | 11 | 3 | 3 | 7 | 0 | 1 | 6 | |
| 1676403 | 42 | No | Travel_Rarely | 1142 | Neurology | 8 | 3 | Life Sciences | 1 | 4 | Male | 81 | 3 | 1 | Nurse | 3 | Single | 3968 | 13624 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1458226 | 32 | Yes | Travel_Rarely | 414 | Cardiology | 2 | 4 | Marketing | 1 | 3 | Male | 82 | 2 | 2 | Nurse | 2 | Single | 9907 | 26186 | 7 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 7 | 3 | 2 | 2 | 2 | 2 | 2 | |
| 1442296 | 46 | No | Travel_Rarely | 1319 | Cardiology | 3 | 3 | Technical Degree | 1 | 1 | Female | 45 | 4 | 4 | Nurse | 1 | Divorced | 13225 | 7739 | 2 | Y | No | 12 | 3 | 4 | 80 | 1 | 25 | 5 | 3 | 19 | 17 | 2 | 8 | |
| 1469297 | 27 | No | Travel_Rarely | 728 | Cardiology | 23 | 1 | Medical | 1 | 2 | Female | 36 | 2 | 2 | Other | 3 | Married | 3540 | 7018 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 5 | 8 | |
| 1701157 | 29 | No | Travel_Rarely | 352 | Neurology | 6 | 1 | Medical | 1 | 4 | Male | 87 | 2 | 1 | Other | 2 | Married | 2804 | 15434 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1141899 | 43 | No | Travel_Rarely | 823 | Neurology | 6 | 3 | Medical | 1 | 1 | Female | 81 | 2 | 5 | Administrative | 3 | Married | 19392 | 22539 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 16 | 12 | 6 | 14 | |
| 1866815 | 48 | No | Travel_Rarely | 1224 | Neurology | 10 | 3 | Life Sciences | 1 | 4 | Male | 91 | 2 | 5 | Administrative | 2 | Married | 19665 | 13583 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 29 | 3 | 3 | 22 | 10 | 12 | 9 | |
| 1329673 | 29 | Yes | Travel_Frequently | 459 | Neurology | 24 | 2 | Life Sciences | 1 | 4 | Male | 73 | 2 | 1 | Other | 4 | Single | 2439 | 14753 | 1 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | |
| 1775838 | 46 | No | Travel_Rarely | 1254 | Cardiology | 10 | 3 | Life Sciences | 1 | 3 | Female | 64 | 3 | 3 | Nurse | 2 | Married | 7314 | 14011 | 5 | Y | No | 21 | 4 | 3 | 80 | 3 | 14 | 2 | 3 | 8 | 7 | 0 | 7 | |
| 1575047 | 27 | No | Travel_Frequently | 1131 | Neurology | 15 | 3 | Life Sciences | 1 | 4 | Female | 77 | 2 | 1 | Other | 1 | Married | 4774 | 23844 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 8 | 2 | 2 | 7 | 6 | 7 | 3 | |
| 1049997 | 39 | No | Travel_Rarely | 835 | Neurology | 19 | 4 | Other | 1 | 4 | Male | 41 | 3 | 2 | Other | 4 | Divorced | 3902 | 5141 | 8 | Y | No | 14 | 3 | 2 | 80 | 3 | 7 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1766213 | 55 | No | Travel_Rarely | 836 | Neurology | 2 | 4 | Technical Degree | 1 | 2 | Male | 98 | 2 | 1 | Other | 4 | Married | 2662 | 7975 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 19 | 2 | 4 | 5 | 2 | 0 | 4 | |
| 1544113 | 28 | No | Travel_Rarely | 1172 | Cardiology | 3 | 3 | Medical | 1 | 2 | Female | 78 | 3 | 1 | Other | 2 | Married | 2856 | 3692 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1609966 | 30 | Yes | Travel_Rarely | 945 | Cardiology | 9 | 3 | Medical | 1 | 2 | Male | 89 | 3 | 1 | Other | 4 | Single | 1081 | 16019 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1242148 | 22 | Yes | Travel_Rarely | 391 | Neurology | 7 | 1 | Life Sciences | 1 | 4 | Male | 75 | 3 | 1 | Other | 2 | Single | 2472 | 26092 | 1 | Y | Yes | 23 | 4 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1494882 | 36 | No | Travel_Rarely | 1266 | Cardiology | 10 | 4 | Technical Degree | 1 | 2 | Female | 63 | 2 | 2 | Nurse | 3 | Married | 5673 | 6060 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 4 | 3 | 10 | 9 | 1 | 7 | |
| 1450163 | 31 | No | Travel_Rarely | 311 | Neurology | 20 | 3 | Life Sciences | 1 | 2 | Male | 89 | 3 | 2 | Nurse | 3 | Divorced | 4197 | 18624 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 8 | 0 | 2 | |
| 1104040 | 34 | No | Travel_Rarely | 1480 | Cardiology | 4 | 3 | Life Sciences | 1 | 3 | Male | 64 | 3 | 3 | Nurse | 4 | Married | 9713 | 24444 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 3 | 9 | 3 | 3 | 5 | 3 | 1 | 0 | |
| 1879233 | 29 | No | Travel_Rarely | 592 | Neurology | 7 | 3 | Life Sciences | 1 | 4 | Male | 59 | 3 | 1 | Nurse | 1 | Single | 2062 | 19384 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 11 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1878518 | 37 | No | Travel_Rarely | 783 | Neurology | 7 | 4 | Medical | 1 | 4 | Male | 78 | 3 | 2 | Other | 1 | Married | 4284 | 13588 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 16 | 2 | 3 | 5 | 3 | 0 | 4 | |
| 1694441 | 35 | No | Travel_Rarely | 219 | Cardiology | 16 | 2 | Other | 1 | 4 | Female | 44 | 2 | 2 | Therapist | 2 | Married | 4788 | 25388 | 0 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 0 | 2 | |
| 1608760 | 45 | No | Travel_Rarely | 556 | Cardiology | 25 | 2 | Life Sciences | 1 | 2 | Female | 93 | 2 | 2 | Therapist | 4 | Married | 5906 | 23888 | 0 | Y | No | 13 | 3 | 4 | 80 | 2 | 10 | 2 | 2 | 9 | 8 | 3 | 8 | |
| 1357691 | 36 | No | Travel_Frequently | 1213 | Neurology | 2 | 1 | Human Resources | 1 | 2 | Male | 94 | 2 | 2 | Other | 4 | Single | 3886 | 4223 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 1 | 0 | 8 | |
| 1551391 | 40 | No | Travel_Rarely | 1137 | Neurology | 1 | 4 | Life Sciences | 1 | 1 | Male | 98 | 3 | 4 | Administrative | 1 | Divorced | 16823 | 18991 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 22 | 3 | 3 | 19 | 7 | 11 | 16 | |
| 1419575 | 26 | No | Travel_Rarely | 482 | Neurology | 1 | 2 | Life Sciences | 1 | 2 | Female | 90 | 2 | 1 | Other | 3 | Married | 2933 | 14908 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | |
| 1620257 | 48 | No | Travel_Frequently | 117 | Neurology | 22 | 3 | Medical | 1 | 4 | Female | 58 | 3 | 4 | Administrative | 4 | Divorced | 17174 | 2437 | 3 | Y | No | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 3 | 22 | 17 | 4 | 7 | |
| 1662166 | 44 | No | Travel_Rarely | 170 | Neurology | 1 | 4 | Life Sciences | 1 | 2 | Male | 78 | 4 | 2 | Nurse | 1 | Married | 5033 | 9364 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 2 | 0 | 2 | 2 | |
| 1738269 | 34 | Yes | Non-Travel | 967 | Neurology | 16 | 4 | Technical Degree | 1 | 4 | Male | 85 | 1 | 1 | Other | 1 | Married | 2307 | 14460 | 1 | Y | Yes | 23 | 4 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 3 | 0 | |
| 1557030 | 56 | Yes | Travel_Rarely | 1162 | Neurology | 24 | 2 | Life Sciences | 1 | 1 | Male | 97 | 3 | 1 | Nurse | 4 | Single | 2587 | 10261 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 4 | 2 | 1 | 0 | |
| 1153641 | 36 | No | Travel_Rarely | 335 | Cardiology | 17 | 2 | Marketing | 1 | 3 | Male | 33 | 2 | 2 | Nurse | 2 | Married | 5507 | 16822 | 2 | Y | No | 16 | 3 | 3 | 80 | 2 | 12 | 1 | 1 | 4 | 2 | 1 | 3 | |
| 1448030 | 41 | No | Travel_Rarely | 337 | Cardiology | 8 | 3 | Marketing | 1 | 3 | Female | 54 | 3 | 2 | Nurse | 2 | Married | 4393 | 26841 | 5 | Y | No | 21 | 4 | 3 | 80 | 1 | 14 | 3 | 3 | 5 | 4 | 1 | 4 | |
| 1804573 | 42 | No | Travel_Rarely | 1396 | Neurology | 6 | 3 | Medical | 1 | 3 | Male | 83 | 3 | 3 | Administrative | 1 | Married | 13348 | 14842 | 9 | Y | No | 13 | 3 | 2 | 80 | 1 | 18 | 3 | 4 | 13 | 7 | 5 | 7 | |
| 1058985 | 31 | No | Travel_Rarely | 1079 | Cardiology | 10 | 2 | Medical | 1 | 3 | Female | 86 | 3 | 2 | Nurse | 4 | Divorced | 6583 | 20115 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 1 | 4 | |
| 1674974 | 34 | No | Travel_Rarely | 735 | Cardiology | 3 | 1 | Medical | 1 | 4 | Female | 75 | 2 | 2 | Nurse | 4 | Married | 8103 | 16495 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 3 | 2 | 4 | 2 | 0 | 1 | |
| 1408618 | 31 | No | Travel_Rarely | 471 | Neurology | 4 | 3 | Medical | 1 | 1 | Female | 62 | 4 | 1 | Nurse | 3 | Divorced | 3978 | 16031 | 8 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 0 | 2 | 2 | 2 | 2 | 2 | |
| 1670932 | 26 | No | Travel_Frequently | 1096 | Neurology | 6 | 3 | Other | 1 | 3 | Male | 61 | 4 | 1 | Nurse | 4 | Married | 2544 | 7102 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 7 | 7 | 7 | 7 | |
| 1808720 | 45 | No | Travel_Frequently | 1297 | Neurology | 1 | 4 | Medical | 1 | 2 | Male | 44 | 3 | 2 | Nurse | 3 | Single | 5399 | 14511 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 4 | 2 | 0 | 3 | |
| 1228157 | 33 | No | Travel_Rarely | 217 | Cardiology | 10 | 4 | Marketing | 1 | 2 | Male | 43 | 3 | 2 | Nurse | 3 | Single | 5487 | 10410 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 0 | 9 | |
| 1355281 | 28 | No | Travel_Frequently | 783 | Cardiology | 1 | 2 | Life Sciences | 1 | 3 | Male | 42 | 2 | 2 | Nurse | 4 | Married | 6834 | 19255 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 7 | 2 | 3 | 7 | 7 | 0 | 7 | |
| 1745305 | 29 | Yes | Travel_Frequently | 746 | Cardiology | 24 | 3 | Technical Degree | 1 | 3 | Male | 45 | 4 | 1 | Other | 1 | Single | 1091 | 10642 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1048077 | 39 | No | Non-Travel | 1251 | Cardiology | 21 | 4 | Life Sciences | 1 | 1 | Female | 32 | 1 | 2 | Nurse | 3 | Married | 5736 | 3987 | 6 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 3 | 2 | 1 | 2 | |
| 1616851 | 27 | No | Travel_Rarely | 1354 | Neurology | 2 | 4 | Technical Degree | 1 | 2 | Male | 41 | 3 | 1 | Other | 2 | Married | 2226 | 6073 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 1 | 2 | |
| 1700476 | 34 | No | Travel_Frequently | 735 | Neurology | 22 | 4 | Other | 1 | 3 | Male | 86 | 2 | 2 | Other | 4 | Married | 5747 | 26496 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 16 | 3 | 3 | 15 | 10 | 6 | 11 | |
| 1603368 | 28 | Yes | Travel_Rarely | 1475 | Cardiology | 13 | 2 | Marketing | 1 | 4 | Female | 84 | 3 | 2 | Nurse | 3 | Single | 9854 | 23352 | 3 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 0 | 3 | 2 | 0 | 2 | 2 | |
| 1775902 | 47 | No | Non-Travel | 1169 | Neurology | 14 | 4 | Technical Degree | 1 | 3 | Male | 64 | 3 | 2 | Other | 2 | Married | 5467 | 2125 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 16 | 4 | 4 | 8 | 7 | 1 | 7 | |
| 1871585 | 56 | No | Travel_Rarely | 1443 | Cardiology | 11 | 5 | Marketing | 1 | 4 | Female | 89 | 2 | 2 | Nurse | 1 | Married | 5380 | 20328 | 4 | Y | No | 16 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | |
| 1606461 | 39 | No | Travel_Rarely | 867 | Cardiology | 9 | 2 | Medical | 1 | 1 | Male | 87 | 3 | 2 | Therapist | 1 | Married | 5151 | 12315 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 0 | 7 | 9 | |
| 1236472 | 38 | No | Travel_Frequently | 1394 | Neurology | 8 | 3 | Medical | 1 | 4 | Female | 58 | 2 | 2 | Other | 2 | Divorced | 2133 | 18115 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 20 | 3 | 3 | 20 | 11 | 0 | 7 | |
| 1058946 | 58 | No | Travel_Rarely | 605 | Cardiology | 21 | 3 | Life Sciences | 1 | 4 | Female | 72 | 3 | 4 | Administrative | 4 | Married | 17875 | 11761 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 1 | 0 | 0 | 0 | |
| 1683886 | 32 | Yes | Travel_Frequently | 238 | Neurology | 5 | 2 | Life Sciences | 1 | 1 | Female | 47 | 4 | 1 | Other | 3 | Single | 2432 | 15318 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 4 | 1 | 0 | 3 | |
| 1211751 | 38 | No | Travel_Rarely | 1206 | Neurology | 9 | 2 | Life Sciences | 1 | 2 | Male | 71 | 3 | 1 | Other | 4 | Divorced | 4771 | 14293 | 2 | Y | No | 19 | 3 | 4 | 80 | 2 | 10 | 0 | 4 | 5 | 2 | 0 | 3 | |
| 1445440 | 49 | No | Travel_Frequently | 1064 | Neurology | 2 | 1 | Life Sciences | 1 | 2 | Male | 42 | 3 | 5 | Administrative | 4 | Married | 19161 | 13738 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 28 | 3 | 3 | 5 | 4 | 4 | 3 | |
| 1654667 | 42 | No | Travel_Rarely | 419 | Cardiology | 12 | 4 | Marketing | 1 | 2 | Male | 77 | 3 | 2 | Nurse | 4 | Divorced | 5087 | 2900 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 14 | 4 | 3 | 0 | 0 | 0 | 0 | |
| 1265759 | 27 | Yes | Travel_Frequently | 1337 | Neurology | 22 | 3 | Human Resources | 1 | 1 | Female | 58 | 2 | 1 | Other | 2 | Married | 2863 | 19555 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1842922 | 35 | No | Travel_Rarely | 682 | Cardiology | 18 | 4 | Medical | 1 | 2 | Male | 71 | 3 | 2 | Nurse | 1 | Married | 5561 | 15975 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 6 | 2 | 1 | 5 | 3 | 0 | 4 | |
| 1884938 | 28 | No | Non-Travel | 1103 | Neurology | 16 | 3 | Medical | 1 | 3 | Male | 49 | 3 | 1 | Other | 3 | Single | 2144 | 2122 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 3 | 1 | 4 | |
| 1252735 | 31 | No | Non-Travel | 976 | Neurology | 3 | 2 | Medical | 1 | 3 | Male | 48 | 3 | 1 | Other | 1 | Divorced | 3065 | 3995 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 4 | 3 | 4 | 4 | 2 | 2 | 3 | |
| 1201616 | 36 | No | Non-Travel | 1351 | Neurology | 9 | 4 | Life Sciences | 1 | 1 | Male | 66 | 4 | 1 | Nurse | 2 | Married | 2810 | 9238 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 2 | |
| 1050457 | 34 | No | Travel_Rarely | 937 | Cardiology | 1 | 3 | Marketing | 1 | 1 | Male | 32 | 3 | 3 | Nurse | 4 | Single | 9888 | 6770 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 14 | 3 | 2 | 14 | 8 | 2 | 1 | |
| 1637651 | 34 | No | Travel_Rarely | 1239 | Cardiology | 13 | 4 | Medical | 1 | 4 | Male | 39 | 3 | 3 | Nurse | 3 | Divorced | 8628 | 22914 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 9 | 2 | 2 | 8 | 7 | 1 | 1 | |
| 1079566 | 26 | No | Travel_Rarely | 157 | Neurology | 1 | 3 | Medical | 1 | 3 | Male | 95 | 3 | 1 | Nurse | 1 | Single | 2867 | 20006 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 6 | 2 | 7 | 7 | 7 | 6 | |
| 1332348 | 29 | No | Travel_Rarely | 136 | Neurology | 1 | 3 | Life Sciences | 1 | 1 | Male | 89 | 3 | 2 | Nurse | 1 | Married | 5373 | 6225 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 2 | |
| 1051695 | 32 | No | Non-Travel | 1146 | Neurology | 15 | 4 | Medical | 1 | 3 | Female | 34 | 3 | 2 | Nurse | 4 | Divorced | 6667 | 16542 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 9 | 6 | 3 | 5 | 1 | 1 | 2 | |
| 1154444 | 31 | No | Travel_Frequently | 1125 | Neurology | 1 | 3 | Life Sciences | 1 | 4 | Male | 48 | 1 | 2 | Other | 1 | Married | 5003 | 5771 | 1 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 6 | 3 | 10 | 8 | 8 | 7 | |
| 1650983 | 28 | No | Travel_Rarely | 1404 | Neurology | 17 | 3 | Technical Degree | 1 | 3 | Male | 32 | 2 | 1 | Nurse | 4 | Divorced | 2367 | 18779 | 5 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 4 | 1 | 0 | 3 | |
| 1130703 | 38 | No | Travel_Rarely | 1404 | Cardiology | 1 | 3 | Life Sciences | 1 | 1 | Male | 59 | 2 | 1 | Other | 1 | Single | 2858 | 11473 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1817679 | 35 | No | Travel_Rarely | 1224 | Cardiology | 7 | 4 | Life Sciences | 1 | 3 | Female | 55 | 3 | 2 | Nurse | 4 | Married | 5204 | 13586 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 0 | 9 | |
| 1092771 | 27 | No | Travel_Rarely | 954 | Cardiology | 9 | 3 | Marketing | 1 | 4 | Male | 44 | 3 | 2 | Nurse | 4 | Single | 4105 | 5099 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 0 | 7 | |
| 1356134 | 32 | No | Travel_Rarely | 1373 | Cardiology | 5 | 4 | Life Sciences | 1 | 4 | Male | 56 | 2 | 2 | Therapist | 4 | Single | 9679 | 10138 | 8 | Y | No | 24 | 4 | 2 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 | |
| 1370524 | 31 | Yes | Travel_Frequently | 754 | Cardiology | 26 | 4 | Marketing | 1 | 1 | Male | 63 | 3 | 2 | Nurse | 4 | Married | 5617 | 21075 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 10 | 7 | 0 | 8 | |
| 1232169 | 53 | Yes | Travel_Rarely | 1168 | Cardiology | 24 | 4 | Life Sciences | 1 | 1 | Male | 66 | 3 | 3 | Nurse | 1 | Single | 10448 | 5843 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 2 | 2 | 2 | 2 | |
| 1392392 | 54 | No | Travel_Rarely | 155 | Neurology | 9 | 2 | Life Sciences | 1 | 1 | Female | 67 | 3 | 2 | Other | 3 | Married | 2897 | 22474 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 9 | 6 | 2 | 4 | 3 | 2 | 3 | |
| 1309342 | 33 | No | Travel_Frequently | 1303 | Neurology | 7 | 2 | Life Sciences | 1 | 4 | Male | 36 | 3 | 2 | Nurse | 3 | Divorced | 5968 | 18079 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 9 | 2 | 3 | 9 | 7 | 2 | 8 | |
| 1531422 | 43 | No | Travel_Rarely | 574 | Neurology | 11 | 3 | Life Sciences | 1 | 1 | Male | 30 | 3 | 3 | Nurse | 3 | Married | 7510 | 16873 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 0 | 9 | |
| 1126582 | 38 | No | Travel_Frequently | 1444 | Neurology | 1 | 4 | Other | 1 | 4 | Male | 88 | 3 | 1 | Other | 2 | Married | 2991 | 5224 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 6 | 2 | 1 | 2 | |
| 1316742 | 55 | No | Travel_Rarely | 189 | Neurology | 26 | 4 | Human Resources | 1 | 3 | Male | 71 | 4 | 5 | Administrative | 2 | Married | 19636 | 25811 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 35 | 0 | 3 | 10 | 9 | 1 | 4 | |
| 1789942 | 31 | No | Travel_Rarely | 1276 | Neurology | 2 | 1 | Medical | 1 | 4 | Female | 59 | 1 | 1 | Nurse | 4 | Divorced | 1129 | 17536 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1583381 | 39 | No | Travel_Rarely | 119 | Cardiology | 15 | 4 | Marketing | 1 | 2 | Male | 77 | 3 | 4 | Nurse | 1 | Single | 13341 | 25098 | 0 | Y | No | 12 | 3 | 1 | 80 | 0 | 21 | 3 | 3 | 20 | 8 | 11 | 10 | |
| 1275198 | 42 | No | Non-Travel | 335 | Neurology | 23 | 2 | Life Sciences | 1 | 4 | Male | 37 | 2 | 2 | Other | 3 | Single | 4332 | 14811 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 20 | 9 | 3 | 7 | |
| 1378502 | 31 | No | Non-Travel | 697 | Neurology | 10 | 3 | Medical | 1 | 3 | Female | 40 | 3 | 3 | Administrative | 3 | Married | 11031 | 26862 | 4 | Y | No | 20 | 4 | 3 | 80 | 1 | 13 | 2 | 4 | 11 | 7 | 4 | 8 | |
| 1553116 | 54 | No | Travel_Rarely | 157 | Cardiology | 10 | 3 | Medical | 1 | 3 | Female | 77 | 3 | 2 | Therapist | 1 | Single | 4440 | 25198 | 6 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 5 | 2 | 1 | 4 | |
| 1150538 | 24 | No | Travel_Rarely | 771 | Neurology | 1 | 2 | Life Sciences | 1 | 2 | Male | 45 | 2 | 2 | Nurse | 3 | Single | 4617 | 14120 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 | |
| 1553133 | 23 | No | Travel_Rarely | 571 | Neurology | 12 | 2 | Other | 1 | 4 | Male | 78 | 3 | 1 | Nurse | 4 | Single | 2647 | 13672 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 5 | 6 | 4 | 5 | 2 | 1 | 4 | |
| 1113801 | 40 | No | Travel_Frequently | 692 | Neurology | 11 | 3 | Technical Degree | 1 | 4 | Female | 73 | 3 | 2 | Nurse | 3 | Married | 6323 | 26849 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 10 | 9 | 9 | 4 | |
| 1365691 | 40 | No | Travel_Rarely | 444 | Cardiology | 2 | 2 | Marketing | 1 | 2 | Female | 92 | 3 | 2 | Nurse | 2 | Married | 5677 | 4258 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 4 | 3 | 11 | 8 | 5 | 10 | |
| 1825860 | 25 | No | Travel_Rarely | 309 | Neurology | 2 | 3 | Human Resources | 1 | 3 | Female | 82 | 3 | 1 | Other | 2 | Married | 2187 | 19655 | 4 | Y | No | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 0 | 1 | 2 | |
| 1820725 | 30 | No | Travel_Rarely | 911 | Neurology | 1 | 2 | Medical | 1 | 4 | Male | 76 | 3 | 1 | Nurse | 2 | Married | 3748 | 4077 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 6 | 2 | 12 | 8 | 1 | 7 | |
| 1515102 | 25 | No | Travel_Rarely | 977 | Neurology | 2 | 1 | Other | 1 | 4 | Male | 57 | 3 | 1 | Nurse | 3 | Divorced | 3977 | 7298 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 2 | 2 | 0 | 2 | |
| 1811717 | 47 | No | Travel_Rarely | 1180 | Neurology | 25 | 3 | Medical | 1 | 1 | Male | 84 | 3 | 3 | Nurse | 3 | Single | 8633 | 13084 | 2 | Y | No | 23 | 4 | 2 | 80 | 0 | 25 | 3 | 3 | 17 | 14 | 12 | 11 | |
| 1863212 | 33 | No | Non-Travel | 1313 | Neurology | 1 | 2 | Medical | 1 | 2 | Male | 59 | 2 | 1 | Nurse | 3 | Divorced | 2008 | 20439 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 2 | 2 | 1 | 1 | 0 | 0 | |
| 1677775 | 38 | No | Travel_Rarely | 1321 | Cardiology | 1 | 4 | Life Sciences | 1 | 4 | Male | 86 | 3 | 2 | Nurse | 2 | Married | 4440 | 7636 | 0 | Y | No | 15 | 3 | 1 | 80 | 2 | 16 | 3 | 3 | 15 | 13 | 5 | 8 | |
| 1593793 | 31 | No | Travel_Rarely | 1154 | Cardiology | 2 | 2 | Life Sciences | 1 | 1 | Male | 54 | 3 | 1 | Other | 3 | Married | 3067 | 6393 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 3 | 1 | 3 | 2 | 2 | 1 | 2 | |
| 1373830 | 38 | No | Travel_Frequently | 508 | Cardiology | 6 | 4 | Life Sciences | 1 | 1 | Male | 72 | 2 | 2 | Therapist | 3 | Married | 5321 | 14284 | 2 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 1 | 3 | 8 | 3 | 7 | 7 | |
| 1125914 | 42 | No | Travel_Rarely | 557 | Neurology | 18 | 4 | Life Sciences | 1 | 4 | Male | 35 | 3 | 2 | Other | 1 | Divorced | 5410 | 11189 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 4 | 3 | 1 | 2 | |
| 1519296 | 41 | No | Travel_Rarely | 642 | Neurology | 1 | 3 | Life Sciences | 1 | 4 | Male | 76 | 3 | 1 | Other | 4 | Married | 2782 | 21412 | 3 | Y | No | 22 | 4 | 1 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 1 | 0 | |
| 1491934 | 47 | No | Non-Travel | 1162 | Neurology | 1 | 1 | Medical | 1 | 3 | Female | 98 | 3 | 3 | Administrative | 2 | Married | 11957 | 17231 | 0 | Y | No | 18 | 3 | 1 | 80 | 2 | 14 | 3 | 1 | 13 | 8 | 5 | 12 | |
| 1181842 | 35 | No | Travel_Rarely | 1490 | Neurology | 11 | 4 | Medical | 1 | 4 | Male | 43 | 3 | 1 | Nurse | 3 | Married | 2660 | 20232 | 7 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1221662 | 22 | No | Travel_Rarely | 581 | Neurology | 1 | 2 | Life Sciences | 1 | 4 | Male | 63 | 3 | 1 | Other | 3 | Single | 3375 | 17624 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 4 | 2 | 4 | 3 | 2 | 1 | 2 | |
| 1725778 | 35 | No | Travel_Rarely | 1395 | Neurology | 9 | 4 | Medical | 1 | 2 | Male | 48 | 3 | 2 | Other | 3 | Single | 5098 | 18698 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 7 | 0 | 8 | |
| 1301790 | 33 | No | Travel_Rarely | 501 | Neurology | 15 | 2 | Medical | 1 | 2 | Female | 95 | 3 | 2 | Nurse | 4 | Married | 4878 | 21653 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 8 | 1 | |
| 1399338 | 32 | No | Travel_Rarely | 267 | Neurology | 29 | 4 | Life Sciences | 1 | 3 | Female | 49 | 2 | 1 | Nurse | 2 | Single | 2837 | 15919 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 1 | |
| 1789008 | 40 | No | Travel_Rarely | 543 | Neurology | 1 | 4 | Life Sciences | 1 | 1 | Male | 83 | 3 | 1 | Nurse | 4 | Married | 2406 | 4060 | 8 | Y | No | 19 | 3 | 3 | 80 | 2 | 8 | 3 | 2 | 1 | 0 | 0 | 0 | |
| 1190766 | 32 | No | Travel_Rarely | 234 | Cardiology | 1 | 4 | Medical | 1 | 2 | Male | 68 | 2 | 1 | Other | 2 | Married | 2269 | 18024 | 0 | Y | No | 14 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1491312 | 39 | No | Travel_Rarely | 116 | Neurology | 24 | 1 | Life Sciences | 1 | 1 | Male | 52 | 3 | 2 | Other | 4 | Single | 4108 | 5340 | 7 | Y | No | 13 | 3 | 1 | 80 | 0 | 18 | 2 | 3 | 7 | 7 | 1 | 7 | |
| 1708743 | 38 | No | Travel_Rarely | 201 | Neurology | 10 | 3 | Medical | 1 | 2 | Female | 99 | 1 | 3 | Administrative | 3 | Married | 13206 | 3376 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 20 | 3 | 3 | 18 | 16 | 1 | 11 | |
| 1435710 | 32 | No | Travel_Rarely | 801 | Cardiology | 1 | 4 | Marketing | 1 | 3 | Female | 48 | 3 | 3 | Nurse | 4 | Married | 10422 | 24032 | 1 | Y | No | 19 | 3 | 3 | 80 | 2 | 14 | 3 | 3 | 14 | 10 | 5 | 7 | |
| 1332625 | 37 | No | Travel_Rarely | 161 | Neurology | 10 | 3 | Life Sciences | 1 | 3 | Female | 42 | 4 | 3 | Administrative | 4 | Married | 13744 | 15471 | 1 | Y | Yes | 25 | 4 | 1 | 80 | 1 | 16 | 2 | 3 | 16 | 11 | 6 | 8 | |
| 1818407 | 25 | No | Travel_Rarely | 1382 | Cardiology | 8 | 2 | Other | 1 | 1 | Female | 85 | 3 | 2 | Nurse | 3 | Divorced | 4907 | 13684 | 0 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 0 | 4 | |
| 1251101 | 52 | No | Non-Travel | 585 | Cardiology | 29 | 4 | Life Sciences | 1 | 1 | Male | 40 | 3 | 1 | Other | 4 | Divorced | 3482 | 19788 | 2 | Y | No | 15 | 3 | 2 | 80 | 2 | 16 | 3 | 2 | 9 | 8 | 0 | 0 | |
| 1433529 | 44 | No | Travel_Rarely | 1037 | Neurology | 1 | 3 | Medical | 1 | 2 | Male | 42 | 3 | 1 | Other | 4 | Single | 2436 | 13422 | 6 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 | |
| 1859445 | 21 | Yes | Travel_Rarely | 501 | Cardiology | 5 | 1 | Medical | 1 | 3 | Male | 58 | 3 | 1 | Other | 1 | Single | 2380 | 25479 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 2 | 6 | 3 | 2 | 2 | 1 | 2 | |
| 1104512 | 39 | No | Non-Travel | 105 | Neurology | 9 | 3 | Life Sciences | 1 | 4 | Male | 87 | 3 | 5 | Administrative | 4 | Single | 19431 | 15302 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 21 | 3 | 2 | 6 | 0 | 1 | 3 | |
| 1782969 | 23 | Yes | Travel_Frequently | 638 | Cardiology | 9 | 3 | Marketing | 1 | 4 | Male | 33 | 3 | 1 | Other | 1 | Married | 1790 | 26956 | 1 | Y | No | 19 | 3 | 1 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | |
| 1628827 | 36 | No | Travel_Rarely | 557 | Cardiology | 3 | 3 | Medical | 1 | 1 | Female | 94 | 2 | 3 | Nurse | 4 | Married | 7644 | 12695 | 0 | Y | No | 19 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 9 | 7 | 3 | 4 | |
| 1224144 | 36 | No | Travel_Frequently | 688 | Cardiology | 4 | 2 | Life Sciences | 1 | 4 | Female | 97 | 3 | 2 | Therapist | 2 | Divorced | 5131 | 9192 | 7 | Y | No | 13 | 3 | 2 | 80 | 3 | 18 | 3 | 3 | 4 | 2 | 0 | 2 | |
| 1284416 | 56 | No | Non-Travel | 667 | Neurology | 1 | 4 | Life Sciences | 1 | 3 | Male | 57 | 3 | 2 | Nurse | 3 | Divorced | 6306 | 26236 | 1 | Y | No | 21 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 13 | 12 | 1 | 9 | |
| 1191013 | 29 | Yes | Travel_Rarely | 1092 | Neurology | 1 | 4 | Medical | 1 | 1 | Male | 36 | 3 | 1 | Other | 4 | Married | 4787 | 26124 | 9 | Y | Yes | 14 | 3 | 2 | 80 | 3 | 4 | 3 | 4 | 2 | 2 | 2 | 2 | |
| 1061493 | 42 | No | Travel_Rarely | 300 | Neurology | 2 | 3 | Life Sciences | 1 | 1 | Male | 56 | 3 | 5 | Administrative | 3 | Married | 18880 | 17312 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 24 | 2 | 2 | 22 | 6 | 4 | 14 | |
| 1197297 | 56 | No | Travel_Rarely | 310 | Neurology | 7 | 2 | Technical Degree | 1 | 4 | Male | 72 | 3 | 1 | Nurse | 3 | Married | 2339 | 3666 | 8 | Y | No | 11 | 3 | 4 | 80 | 1 | 14 | 4 | 1 | 10 | 9 | 9 | 8 | |
| 1065630 | 41 | No | Travel_Rarely | 582 | Cardiology | 28 | 4 | Life Sciences | 1 | 1 | Female | 60 | 2 | 4 | Therapist | 2 | Married | 13570 | 5640 | 0 | Y | No | 23 | 4 | 3 | 80 | 1 | 21 | 3 | 3 | 20 | 7 | 0 | 10 | |
| 1173552 | 34 | No | Travel_Rarely | 704 | Cardiology | 28 | 3 | Marketing | 1 | 4 | Female | 95 | 2 | 2 | Nurse | 3 | Married | 6712 | 8978 | 1 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 2 | 3 | 8 | 7 | 1 | 7 | |
| 1277240 | 36 | No | Non-Travel | 301 | Cardiology | 15 | 4 | Marketing | 1 | 4 | Male | 88 | 1 | 2 | Nurse | 4 | Divorced | 5406 | 10436 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 15 | 4 | 2 | 15 | 12 | 11 | 11 | |
| 1520108 | 41 | No | Travel_Rarely | 930 | Cardiology | 3 | 3 | Life Sciences | 1 | 3 | Male | 57 | 2 | 2 | Nurse | 2 | Divorced | 8938 | 12227 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 14 | 5 | 3 | 5 | 4 | 0 | 4 | |
| 1707431 | 32 | No | Travel_Rarely | 529 | Neurology | 2 | 3 | Technical Degree | 1 | 4 | Male | 78 | 3 | 1 | Other | 1 | Single | 2439 | 11288 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 4 | 4 | 3 | 4 | 2 | 1 | 2 | |
| 1246075 | 35 | No | Travel_Rarely | 1146 | Neurology | 26 | 4 | Life Sciences | 1 | 3 | Female | 31 | 3 | 3 | Other | 4 | Single | 8837 | 16642 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 9 | 0 | 1 | 7 | |
| 1665956 | 38 | No | Travel_Rarely | 345 | Cardiology | 10 | 2 | Life Sciences | 1 | 1 | Female | 100 | 3 | 2 | Nurse | 4 | Married | 5343 | 5982 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 1 | 9 | |
| 1468963 | 50 | No | Travel_Frequently | 878 | Cardiology | 1 | 4 | Life Sciences | 1 | 2 | Male | 94 | 3 | 2 | Nurse | 3 | Divorced | 6728 | 14255 | 7 | Y | No | 12 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 6 | 3 | 0 | 1 | |
| 1457695 | 36 | No | Travel_Rarely | 1120 | Cardiology | 11 | 4 | Marketing | 1 | 2 | Female | 100 | 2 | 2 | Nurse | 4 | Married | 6652 | 14369 | 4 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 2 | 6 | 3 | 0 | 0 | |
| 1043685 | 45 | No | Travel_Rarely | 374 | Cardiology | 20 | 3 | Life Sciences | 1 | 4 | Female | 50 | 3 | 2 | Nurse | 3 | Single | 4850 | 23333 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 5 | 3 | 0 | 1 | |
| 1336668 | 40 | No | Travel_Rarely | 1322 | Neurology | 2 | 4 | Life Sciences | 1 | 3 | Male | 52 | 2 | 1 | Other | 3 | Single | 2809 | 2725 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1044917 | 35 | No | Travel_Frequently | 1199 | Neurology | 18 | 4 | Life Sciences | 1 | 3 | Male | 80 | 3 | 2 | Nurse | 3 | Married | 5689 | 24594 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 2 | 4 | 10 | 2 | 0 | 2 | |
| 1758264 | 40 | No | Travel_Rarely | 1194 | Neurology | 2 | 4 | Medical | 1 | 3 | Female | 98 | 3 | 1 | Other | 3 | Married | 2001 | 12549 | 2 | Y | No | 14 | 3 | 2 | 80 | 3 | 20 | 2 | 3 | 5 | 3 | 0 | 2 | |
| 1175359 | 35 | No | Travel_Rarely | 287 | Neurology | 1 | 4 | Life Sciences | 1 | 3 | Female | 62 | 1 | 1 | Other | 4 | Married | 2977 | 8952 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 4 | 5 | 3 | 4 | 3 | 1 | 1 | |
| 1640979 | 29 | No | Travel_Rarely | 1378 | Neurology | 13 | 2 | Other | 1 | 4 | Male | 46 | 2 | 2 | Nurse | 2 | Married | 4025 | 23679 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 4 | 3 | 0 | 3 | |
| 1321040 | 29 | No | Travel_Rarely | 468 | Neurology | 28 | 4 | Medical | 1 | 4 | Female | 73 | 2 | 1 | Other | 1 | Single | 3785 | 8489 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 3 | 1 | 5 | 4 | 0 | 4 | |
| 1293237 | 50 | Yes | Travel_Rarely | 410 | Cardiology | 28 | 3 | Marketing | 1 | 4 | Male | 39 | 2 | 3 | Nurse | 1 | Divorced | 10854 | 16586 | 4 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 20 | 3 | 3 | 3 | 2 | 2 | 0 | |
| 1715801 | 39 | No | Travel_Rarely | 722 | Cardiology | 24 | 1 | Marketing | 1 | 2 | Female | 60 | 2 | 4 | Nurse | 4 | Married | 12031 | 8828 | 0 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 2 | 2 | 20 | 9 | 9 | 6 | |
| 1626443 | 31 | No | Non-Travel | 325 | Cardiology | 5 | 3 | Medical | 1 | 2 | Male | 74 | 3 | 2 | Therapist | 1 | Single | 9936 | 3787 | 0 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 4 | 1 | 7 | |
| 1787925 | 26 | No | Travel_Rarely | 1167 | Cardiology | 5 | 3 | Other | 1 | 4 | Female | 30 | 2 | 1 | Other | 3 | Single | 2966 | 21378 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 2 | 0 | 0 | |
| 1444959 | 36 | No | Travel_Frequently | 884 | Neurology | 23 | 2 | Medical | 1 | 3 | Male | 41 | 4 | 2 | Nurse | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 | |
| 1196529 | 39 | No | Travel_Rarely | 613 | Neurology | 6 | 1 | Medical | 1 | 4 | Male | 42 | 2 | 3 | Nurse | 1 | Married | 9991 | 21457 | 4 | Y | No | 15 | 3 | 1 | 80 | 1 | 9 | 5 | 3 | 7 | 7 | 1 | 7 | |
| 1417927 | 27 | No | Travel_Rarely | 155 | Cardiology | 4 | 3 | Life Sciences | 1 | 2 | Male | 87 | 4 | 2 | Therapist | 2 | Married | 6142 | 5174 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 6 | 0 | 3 | 6 | 2 | 0 | 3 | |
| 1322645 | 49 | No | Travel_Frequently | 1023 | Cardiology | 2 | 3 | Medical | 1 | 4 | Male | 63 | 2 | 2 | Nurse | 2 | Married | 5390 | 13243 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 17 | 3 | 2 | 9 | 6 | 0 | 8 | |
| 1879510 | 34 | No | Travel_Rarely | 628 | Neurology | 8 | 3 | Medical | 1 | 2 | Male | 82 | 4 | 2 | Nurse | 3 | Married | 4404 | 10228 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 4 | 4 | 3 | 1 | 2 | |
| 1345828 | 37 | No | Travel_Rarely | 1115 | Maternity | 1 | 4 | Life Sciences | 1 | 1 | Male | 51 | 2 | 2 | Therapist | 3 | Divorced | 5993 | 2689 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 2 | 4 | 7 | 5 | 0 | 7 | |
| 1837461 | 40 | No | Travel_Rarely | 1398 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Female | 79 | 3 | 5 | Admin | 3 | Married | 18041 | 13022 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 20 | 15 | 1 | 12 | |
| 1720201 | 45 | No | Travel_Rarely | 1329 | Maternity | 2 | 2 | Other | 1 | 4 | Female | 59 | 2 | 2 | Therapist | 4 | Divorced | 5770 | 5388 | 1 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 3 | 9 | |
| 1566303 | 39 | No | Travel_Rarely | 466 | Maternity | 1 | 1 | Life Sciences | 1 | 4 | Female | 65 | 2 | 4 | Therapist | 4 | Married | 12742 | 7060 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 6 | 11 | 8 | |
| 1108233 | 56 | No | Non-Travel | 667 | Maternity | 1 | 4 | Life Sciences | 1 | 3 | Male | 57 | 3 | 2 | Other | 3 | Divorced | 6306 | 26236 | 1 | Y | No | 21 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 13 | 12 | 1 | 9 | |
| 1548714 | 49 | No | Travel_Rarely | 1490 | Maternity | 7 | 4 | Life Sciences | 1 | 3 | Male | 35 | 3 | 3 | Other | 2 | Divorced | 10466 | 20948 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 29 | 3 | 3 | 8 | 7 | 0 | 7 | |
| 1823206 | 36 | No | Travel_Rarely | 711 | Maternity | 5 | 4 | Life Sciences | 1 | 2 | Female | 42 | 3 | 3 | Other | 1 | Married | 8008 | 22792 | 4 | Y | No | 12 | 3 | 3 | 80 | 2 | 9 | 6 | 3 | 3 | 2 | 0 | 2 | |
| 1464646 | 38 | No | Travel_Frequently | 1189 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Male | 90 | 3 | 2 | Nurse | 4 | Married | 4735 | 9867 | 7 | Y | No | 15 | 3 | 4 | 80 | 2 | 19 | 4 | 4 | 13 | 11 | 2 | 9 | |
| 1118938 | 53 | No | Travel_Rarely | 607 | Maternity | 2 | 5 | Technical Degree | 1 | 3 | Female | 78 | 2 | 3 | Therapist | 4 | Married | 10169 | 14618 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 34 | 4 | 3 | 33 | 7 | 1 | 9 | |
| 1266767 | 36 | No | Non-Travel | 1229 | Cardiology | 8 | 4 | Technical Degree | 1 | 1 | Male | 84 | 3 | 2 | Nurse | 4 | Divorced | 5079 | 25952 | 4 | Y | No | 13 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 7 | 7 | 0 | 7 | |
| 1432515 | 40 | No | Travel_Frequently | 791 | Maternity | 2 | 2 | Medical | 1 | 3 | Female | 38 | 4 | 2 | Other | 2 | Married | 4244 | 9931 | 1 | Y | No | 24 | 4 | 4 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 3 | 7 | |
| 1440199 | 24 | No | Travel_Rarely | 1206 | Maternity | 17 | 1 | Medical | 1 | 4 | Female | 41 | 2 | 2 | Therapist | 3 | Divorced | 4377 | 24117 | 1 | Y | No | 15 | 3 | 2 | 80 | 2 | 5 | 6 | 3 | 4 | 2 | 3 | 2 | |
| 1449468 | 41 | No | Travel_Rarely | 314 | Neurology | 1 | 3 | Human Resources | 1 | 4 | Male | 59 | 2 | 5 | Admin | 3 | Married | 19189 | 19562 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 22 | 7 | 2 | 10 | |
| 1308741 | 32 | No | Travel_Rarely | 1018 | Neurology | 3 | 2 | Life Sciences | 1 | 3 | Female | 39 | 3 | 3 | Therapist | 4 | Single | 11159 | 19373 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 7 | 7 | 7 | 7 | |
| 1117655 | 54 | No | Travel_Rarely | 685 | Neurology | 3 | 3 | Life Sciences | 1 | 4 | Male | 85 | 3 | 4 | Therapist | 4 | Married | 17779 | 23474 | 3 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 2 | 3 | 10 | 9 | 0 | 9 | |
| 1439166 | 40 | No | Travel_Rarely | 444 | Cardiology | 2 | 2 | Marketing | 1 | 2 | Female | 92 | 3 | 2 | Nurse | 2 | Married | 5677 | 4258 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 4 | 3 | 11 | 8 | 5 | 10 | |
| 1141471 | 43 | No | Travel_Rarely | 1291 | Neurology | 15 | 2 | Life Sciences | 1 | 3 | Male | 65 | 2 | 4 | Therapist | 3 | Married | 17603 | 3525 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 14 | 3 | 3 | 14 | 10 | 6 | 11 | |
| 1731320 | 35 | No | Travel_Rarely | 819 | Maternity | 2 | 3 | Life Sciences | 1 | 3 | Male | 44 | 2 | 3 | Therapist | 2 | Divorced | 10274 | 19588 | 2 | Y | No | 18 | 3 | 2 | 80 | 1 | 15 | 2 | 4 | 7 | 7 | 6 | 4 | |
| 1697463 | 58 | No | Travel_Rarely | 1272 | Maternity | 5 | 3 | Technical Degree | 1 | 3 | Female | 37 | 2 | 3 | Other | 2 | Divorced | 10552 | 9255 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 3 | 3 | 6 | 0 | 0 | 4 | |
| 1540491 | 32 | No | Non-Travel | 1200 | Maternity | 1 | 4 | Technical Degree | 1 | 4 | Male | 62 | 3 | 2 | Nurse | 1 | Married | 4087 | 25174 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 6 | 5 | 1 | 2 | |
| 1034607 | 27 | No | Travel_Rarely | 608 | Maternity | 1 | 2 | Life Sciences | 1 | 3 | Female | 68 | 3 | 3 | Therapist | 1 | Married | 7412 | 6009 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 7 | |
| 1123123 | 29 | No | Travel_Rarely | 1329 | Maternity | 7 | 3 | Life Sciences | 1 | 3 | Male | 82 | 3 | 2 | Other | 4 | Divorced | 6623 | 4204 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 2 | 3 | 6 | 0 | 1 | 0 | |
| 1380232 | 47 | No | Travel_Rarely | 1225 | Cardiology | 2 | 4 | Life Sciences | 1 | 2 | Female | 47 | 4 | 4 | Admin | 2 | Divorced | 15972 | 21086 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 29 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1345928 | 44 | No | Travel_Rarely | 1099 | Cardiology | 5 | 3 | Marketing | 1 | 2 | Male | 88 | 3 | 5 | Admin | 2 | Married | 18213 | 8751 | 7 | Y | No | 11 | 3 | 3 | 80 | 1 | 26 | 5 | 3 | 22 | 9 | 3 | 10 | |
| 1165218 | 52 | No | Non-Travel | 715 | Maternity | 19 | 4 | Medical | 1 | 4 | Male | 41 | 3 | 1 | Nurse | 4 | Married | 4258 | 26589 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 1 | 2 | |
| 1194754 | 41 | No | Travel_Rarely | 930 | Cardiology | 3 | 3 | Life Sciences | 1 | 3 | Male | 57 | 2 | 2 | Nurse | 2 | Divorced | 8938 | 12227 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 14 | 5 | 3 | 5 | 4 | 0 | 4 | |
| 1162618 | 34 | No | Travel_Rarely | 1397 | Maternity | 1 | 5 | Life Sciences | 1 | 2 | Male | 42 | 3 | 1 | Nurse | 4 | Married | 2691 | 7660 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 4 | 2 | 10 | 9 | 8 | 8 | |
| 1661522 | 39 | No | Travel_Frequently | 1218 | Maternity | 1 | 1 | Life Sciences | 1 | 2 | Male | 52 | 3 | 5 | Admin | 3 | Divorced | 19197 | 8213 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 8 | 1 | 6 | |
| 1469038 | 42 | No | Travel_Rarely | 933 | Maternity | 29 | 3 | Life Sciences | 1 | 2 | Male | 98 | 3 | 2 | Therapist | 2 | Married | 4434 | 11806 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 8 | 7 | 8 | |
| 1026975 | 50 | No | Travel_Rarely | 854 | Cardiology | 1 | 4 | Medical | 1 | 4 | Female | 68 | 3 | 5 | Admin | 4 | Divorced | 19517 | 24118 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 7 | 0 | 0 | 6 | |
| 1267061 | 46 | No | Non-Travel | 1144 | Maternity | 7 | 4 | Medical | 1 | 3 | Female | 30 | 3 | 2 | Therapist | 3 | Married | 5258 | 16044 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 7 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1184336 | 45 | No | Travel_Rarely | 192 | Maternity | 10 | 2 | Life Sciences | 1 | 1 | Male | 69 | 3 | 1 | Nurse | 4 | Married | 2654 | 9655 | 3 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 3 | 2 | 2 | 2 | 0 | 2 | |
| 1852420 | 31 | No | Travel_Rarely | 1112 | Cardiology | 5 | 4 | Life Sciences | 1 | 1 | Female | 67 | 3 | 2 | Nurse | 4 | Married | 5476 | 22589 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 10 | 0 | 0 | 2 | |
| 1622092 | 29 | No | Travel_Rarely | 1389 | Maternity | 21 | 4 | Life Sciences | 1 | 2 | Female | 51 | 4 | 3 | Therapist | 1 | Divorced | 9980 | 10195 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 8 | 8 | |
| 1870096 | 41 | No | Travel_Rarely | 645 | Cardiology | 1 | 3 | Marketing | 1 | 2 | Male | 49 | 4 | 3 | Nurse | 1 | Married | 8392 | 19566 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 7 | |
| 1288694 | 38 | No | Travel_Rarely | 345 | Cardiology | 10 | 2 | Life Sciences | 1 | 1 | Female | 100 | 3 | 2 | Nurse | 4 | Married | 5343 | 5982 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 1 | 9 | |
| 1354174 | 53 | No | Travel_Rarely | 1219 | Cardiology | 2 | 4 | Life Sciences | 1 | 1 | Female | 78 | 2 | 4 | Admin | 4 | Married | 15427 | 22021 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 31 | 3 | 3 | 25 | 8 | 3 | 7 | |
| 1121812 | 35 | No | Travel_Frequently | 1182 | Cardiology | 11 | 2 | Marketing | 1 | 4 | Male | 54 | 3 | 2 | Nurse | 4 | Divorced | 4968 | 18500 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 5 | 3 | 3 | 5 | 2 | 0 | 2 | |
| 1688790 | 49 | No | Travel_Rarely | 465 | Maternity | 6 | 1 | Life Sciences | 1 | 3 | Female | 41 | 2 | 4 | Other | 3 | Married | 13966 | 11652 | 2 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 30 | 3 | 3 | 15 | 11 | 2 | 12 | |
| 1847082 | 40 | No | Travel_Rarely | 369 | Maternity | 8 | 2 | Life Sciences | 1 | 2 | Female | 92 | 3 | 2 | Therapist | 1 | Married | 6516 | 5041 | 2 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 18 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1137940 | 46 | No | Travel_Rarely | 1319 | Cardiology | 3 | 3 | Technical Degree | 1 | 1 | Female | 45 | 4 | 4 | Nurse | 1 | Divorced | 13225 | 7739 | 2 | Y | No | 12 | 3 | 4 | 80 | 1 | 25 | 5 | 3 | 19 | 17 | 2 | 8 | |
| 1531743 | 58 | No | Travel_Rarely | 1055 | Neurology | 1 | 3 | Medical | 1 | 4 | Female | 76 | 3 | 5 | Therapist | 1 | Married | 19701 | 22456 | 3 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 9 | 8 | 1 | 5 | |
| 1156488 | 48 | No | Travel_Frequently | 365 | Maternity | 4 | 5 | Medical | 1 | 3 | Male | 89 | 2 | 4 | Admin | 4 | Married | 15202 | 5602 | 2 | Y | No | 25 | 4 | 2 | 80 | 1 | 23 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1578755 | 29 | No | Travel_Rarely | 1010 | Maternity | 1 | 3 | Life Sciences | 1 | 1 | Female | 97 | 3 | 1 | Nurse | 4 | Divorced | 3760 | 5598 | 1 | Y | No | 15 | 3 | 1 | 80 | 3 | 3 | 5 | 3 | 3 | 2 | 1 | 2 | |
| 1333885 | 31 | No | Travel_Rarely | 655 | Neurology | 7 | 4 | Life Sciences | 1 | 4 | Male | 48 | 3 | 2 | Nurse | 4 | Divorced | 5915 | 9528 | 3 | Y | No | 22 | 4 | 4 | 80 | 1 | 10 | 3 | 2 | 7 | 7 | 1 | 7 | |
| 1258908 | 38 | No | Travel_Frequently | 1186 | Maternity | 3 | 4 | Other | 1 | 3 | Male | 44 | 3 | 1 | Nurse | 3 | Married | 2821 | 2997 | 3 | Y | No | 16 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1245218 | 29 | No | Travel_Rarely | 136 | Maternity | 1 | 3 | Life Sciences | 1 | 1 | Male | 89 | 3 | 2 | Other | 1 | Married | 5373 | 6225 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 2 | |
| 1730370 | 36 | No | Travel_Rarely | 188 | Maternity | 7 | 4 | Other | 1 | 2 | Male | 65 | 3 | 1 | Nurse | 4 | Single | 4678 | 23293 | 2 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 6 | 3 | 6 | 2 | 0 | 1 | |
| 1577435 | 42 | No | Travel_Rarely | 469 | Maternity | 2 | 2 | Medical | 1 | 4 | Male | 35 | 3 | 4 | Admin | 1 | Married | 17665 | 14399 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 22 | 6 | 13 | 7 | |
| 1151756 | 25 | No | Travel_Rarely | 810 | Cardiology | 8 | 3 | Life Sciences | 1 | 4 | Male | 57 | 4 | 2 | Nurse | 2 | Married | 4851 | 15678 | 0 | Y | No | 22 | 4 | 3 | 80 | 1 | 4 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1045493 | 48 | No | Travel_Rarely | 715 | Neurology | 1 | 3 | Life Sciences | 1 | 4 | Male | 76 | 2 | 5 | Therapist | 4 | Single | 18265 | 8733 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 25 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1570909 | 38 | No | Travel_Frequently | 508 | Maternity | 6 | 4 | Life Sciences | 1 | 1 | Male | 72 | 2 | 2 | Therapist | 3 | Married | 5321 | 14284 | 2 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 1 | 3 | 8 | 3 | 7 | 7 | |
| 1509347 | 43 | No | Travel_Rarely | 1473 | Maternity | 8 | 4 | Other | 1 | 3 | Female | 74 | 3 | 2 | Other | 3 | Divorced | 4522 | 2227 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 2 | 0 | 2 | |
| 1217582 | 53 | No | Travel_Rarely | 1070 | Neurology | 3 | 4 | Medical | 1 | 3 | Male | 45 | 3 | 4 | Therapist | 3 | Married | 17584 | 21016 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 3 | 21 | 5 | 2 | 5 | 3 | 1 | 3 | |
| 1110329 | 54 | No | Travel_Rarely | 821 | Neurology | 5 | 2 | Medical | 1 | 1 | Male | 86 | 3 | 5 | Therapist | 1 | Married | 19406 | 8509 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 24 | 4 | 2 | 4 | 2 | 1 | 2 | |
| 1044146 | 47 | No | Travel_Rarely | 1180 | Maternity | 25 | 3 | Medical | 1 | 1 | Male | 84 | 3 | 3 | Other | 3 | Single | 8633 | 13084 | 2 | Y | No | 23 | 4 | 2 | 80 | 0 | 25 | 3 | 3 | 17 | 14 | 12 | 11 | |
| 1865209 | 31 | No | Travel_Rarely | 480 | Maternity | 7 | 2 | Medical | 1 | 2 | Female | 31 | 3 | 2 | Therapist | 1 | Married | 4306 | 4156 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 1 | 13 | 10 | 3 | 12 | |
| 1548274 | 23 | No | Travel_Rarely | 1309 | Maternity | 26 | 1 | Life Sciences | 1 | 3 | Male | 83 | 3 | 1 | Nurse | 4 | Divorced | 2904 | 16092 | 1 | Y | No | 12 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 4 | 2 | 0 | 2 | |
| 1268816 | 40 | No | Travel_Rarely | 1202 | Maternity | 2 | 1 | Medical | 1 | 2 | Female | 89 | 4 | 2 | Other | 3 | Divorced | 6377 | 13888 | 5 | Y | No | 20 | 4 | 2 | 80 | 3 | 15 | 0 | 3 | 12 | 11 | 11 | 8 | |
| 1084927 | 32 | No | Travel_Rarely | 801 | Cardiology | 1 | 4 | Marketing | 1 | 3 | Female | 48 | 3 | 3 | Nurse | 4 | Married | 10422 | 24032 | 1 | Y | No | 19 | 3 | 3 | 80 | 2 | 14 | 3 | 3 | 14 | 10 | 5 | 7 | |
| 1496230 | 26 | No | Travel_Rarely | 933 | Cardiology | 1 | 3 | Life Sciences | 1 | 3 | Male | 57 | 3 | 2 | Nurse | 3 | Married | 5296 | 20156 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 7 | 7 | |
| 1872979 | 28 | No | Non-Travel | 280 | Neurology | 1 | 2 | Life Sciences | 1 | 3 | Male | 43 | 3 | 1 | Other | 4 | Divorced | 2706 | 10494 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1123429 | 29 | No | Travel_Rarely | 232 | Maternity | 19 | 3 | Technical Degree | 1 | 4 | Male | 34 | 3 | 2 | Therapist | 4 | Divorced | 4262 | 22645 | 4 | Y | No | 12 | 3 | 2 | 80 | 2 | 8 | 2 | 4 | 3 | 2 | 1 | 2 | |
| 1563219 | 22 | No | Travel_Rarely | 581 | Maternity | 1 | 2 | Life Sciences | 1 | 4 | Male | 63 | 3 | 1 | Nurse | 3 | Single | 3375 | 17624 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 4 | 2 | 4 | 3 | 2 | 1 | 2 | |
| 1252790 | 37 | No | Travel_Rarely | 674 | Maternity | 13 | 3 | Medical | 1 | 1 | Male | 47 | 3 | 2 | Nurse | 4 | Married | 4285 | 3031 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 3 | 7 | |
| 1720230 | 43 | No | Travel_Rarely | 1034 | Cardiology | 16 | 3 | Marketing | 1 | 4 | Female | 80 | 3 | 4 | Admin | 4 | Married | 16064 | 7744 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 17 | 13 | 1 | 9 | |
| 1028734 | 39 | No | Travel_Frequently | 505 | Maternity | 2 | 4 | Technical Degree | 1 | 3 | Female | 64 | 3 | 3 | Other | 3 | Single | 10938 | 6420 | 0 | Y | No | 25 | 4 | 4 | 80 | 0 | 20 | 1 | 3 | 19 | 6 | 11 | 8 | |
| 1365509 | 33 | No | Travel_Frequently | 1141 | Cardiology | 1 | 3 | Life Sciences | 1 | 3 | Female | 42 | 4 | 2 | Nurse | 1 | Married | 5376 | 3193 | 2 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 5 | 3 | 1 | 3 | |
| 1825987 | 34 | No | Travel_Rarely | 121 | Maternity | 2 | 4 | Medical | 1 | 3 | Female | 86 | 2 | 1 | Nurse | 1 | Single | 4381 | 7530 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 1 | 3 | |
| 1269351 | 39 | No | Travel_Frequently | 443 | Neurology | 8 | 1 | Life Sciences | 1 | 3 | Female | 48 | 3 | 1 | Nurse | 3 | Married | 3755 | 17872 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 3 | 0 | 7 | |
| 1495147 | 31 | No | Travel_Rarely | 1154 | Cardiology | 2 | 2 | Life Sciences | 1 | 1 | Male | 54 | 3 | 1 | Other | 3 | Married | 3067 | 6393 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 3 | 1 | 3 | 2 | 2 | 1 | 2 | |
| 1209865 | 48 | No | Travel_Rarely | 163 | Cardiology | 2 | 5 | Marketing | 1 | 2 | Female | 37 | 3 | 2 | Therapist | 4 | Married | 4051 | 19658 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 14 | 2 | 3 | 9 | 7 | 6 | 7 | |
| 1138945 | 53 | No | Travel_Rarely | 102 | Neurology | 23 | 4 | Life Sciences | 1 | 4 | Female | 72 | 3 | 4 | Therapist | 4 | Single | 14275 | 20206 | 6 | Y | No | 18 | 3 | 3 | 80 | 0 | 33 | 0 | 3 | 12 | 9 | 3 | 8 | |
| 1310619 | 28 | No | Non-Travel | 120 | Cardiology | 4 | 3 | Medical | 1 | 2 | Male | 43 | 3 | 2 | Therapist | 3 | Married | 4221 | 8863 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 5 | 3 | 4 | 5 | 4 | 0 | 4 | |
| 1225300 | 45 | No | Non-Travel | 1195 | Maternity | 2 | 2 | Medical | 1 | 1 | Male | 65 | 2 | 4 | Admin | 4 | Married | 16792 | 20462 | 9 | Y | No | 23 | 4 | 4 | 80 | 1 | 22 | 1 | 3 | 20 | 8 | 11 | 8 | |
| 1885928 | 29 | No | Travel_Rarely | 718 | Maternity | 8 | 1 | Medical | 1 | 2 | Male | 79 | 2 | 2 | Therapist | 4 | Married | 5056 | 17689 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 1 | 2 | |
| 1213922 | 34 | No | Travel_Rarely | 704 | Cardiology | 28 | 3 | Marketing | 1 | 4 | Female | 95 | 2 | 2 | Therapist | 3 | Married | 6712 | 8978 | 1 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 2 | 3 | 8 | 7 | 1 | 7 | |
| 1211512 | 27 | No | Travel_Rarely | 269 | Neurology | 5 | 1 | Technical Degree | 1 | 3 | Male | 42 | 2 | 3 | Therapist | 4 | Divorced | 12808 | 8842 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 0 | 8 | |
| 1159699 | 30 | No | Travel_Rarely | 201 | Maternity | 5 | 3 | Technical Degree | 1 | 4 | Female | 84 | 3 | 1 | Nurse | 1 | Divorced | 3204 | 10415 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 8 | 3 | 3 | 3 | 2 | 2 | 2 | |
| 1677368 | 34 | No | Travel_Rarely | 678 | Maternity | 19 | 3 | Life Sciences | 1 | 2 | Female | 35 | 2 | 1 | Nurse | 4 | Married | 2929 | 20338 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 7 | |
| 1030882 | 31 | No | Travel_Rarely | 670 | Maternity | 26 | 1 | Life Sciences | 1 | 1 | Male | 31 | 3 | 1 | Nurse | 3 | Divorced | 2911 | 15170 | 1 | Y | No | 17 | 3 | 4 | 80 | 1 | 5 | 1 | 2 | 5 | 2 | 4 | 3 | |
| 1597825 | 27 | No | Travel_Frequently | 829 | Cardiology | 8 | 1 | Marketing | 1 | 3 | Male | 84 | 3 | 2 | Therapist | 4 | Married | 4342 | 24008 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 2 | 1 | 1 | |
| 1822734 | 38 | No | Travel_Rarely | 437 | Cardiology | 16 | 3 | Life Sciences | 1 | 2 | Female | 90 | 3 | 2 | Therapist | 2 | Single | 4198 | 16379 | 2 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 5 | 4 | 3 | 2 | 1 | 2 | |
| 1237678 | 27 | No | Travel_Frequently | 1410 | Cardiology | 3 | 1 | Medical | 1 | 4 | Female | 71 | 4 | 2 | Therapist | 4 | Divorced | 4647 | 16673 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 | |
| 1178700 | 55 | No | Non-Travel | 444 | Maternity | 2 | 1 | Medical | 1 | 3 | Male | 40 | 2 | 4 | Admin | 1 | Single | 16756 | 17323 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 31 | 3 | 4 | 9 | 7 | 6 | 2 | |
| 1854050 | 52 | No | Travel_Rarely | 319 | Maternity | 3 | 3 | Medical | 1 | 4 | Male | 39 | 2 | 3 | Therapist | 3 | Married | 7969 | 19609 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 28 | 4 | 3 | 5 | 4 | 0 | 4 | |
| 1833939 | 35 | No | Travel_Rarely | 1029 | Maternity | 16 | 3 | Life Sciences | 1 | 4 | Female | 91 | 2 | 3 | Other | 2 | Single | 8606 | 21195 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 11 | 3 | 1 | 11 | 8 | 3 | 3 | |
| 1822695 | 53 | No | Travel_Rarely | 346 | Neurology | 6 | 3 | Life Sciences | 1 | 4 | Male | 86 | 3 | 2 | Nurse | 4 | Single | 2450 | 10919 | 2 | Y | No | 17 | 3 | 4 | 80 | 0 | 19 | 4 | 3 | 2 | 2 | 2 | 2 | |
| 1252779 | 43 | No | Travel_Frequently | 559 | Neurology | 10 | 4 | Life Sciences | 1 | 3 | Female | 82 | 2 | 2 | Nurse | 3 | Divorced | 5257 | 6227 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 9 | 7 | 0 | 0 | |
| 1831971 | 27 | No | Travel_Rarely | 1420 | Cardiology | 2 | 1 | Marketing | 1 | 3 | Male | 85 | 3 | 1 | Other | 1 | Divorced | 3041 | 16346 | 0 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 0 | 2 | |
| 1473219 | 38 | No | Travel_Frequently | 594 | Neurology | 2 | 2 | Medical | 1 | 3 | Female | 75 | 2 | 1 | Nurse | 2 | Married | 2468 | 15963 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 4 | 2 | 6 | 1 | 0 | 5 | |
| 1178469 | 36 | No | Travel_Frequently | 607 | Cardiology | 7 | 3 | Marketing | 1 | 1 | Female | 83 | 4 | 2 | Therapist | 1 | Married | 4639 | 2261 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 17 | 2 | 2 | 15 | 7 | 6 | 13 | |
| 1075883 | 46 | No | Travel_Rarely | 1125 | Cardiology | 10 | 3 | Marketing | 1 | 3 | Female | 94 | 2 | 3 | Therapist | 4 | Married | 9071 | 11563 | 2 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1853111 | 51 | No | Travel_Rarely | 684 | Neurology | 6 | 3 | Life Sciences | 1 | 1 | Male | 51 | 3 | 5 | Therapist | 3 | Single | 19537 | 6462 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 23 | 5 | 3 | 20 | 18 | 15 | 15 | |
| 1455592 | 27 | No | Travel_Rarely | 954 | Cardiology | 9 | 3 | Marketing | 1 | 4 | Male | 44 | 3 | 2 | Therapist | 4 | Single | 4105 | 5099 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 0 | 7 | |
| 1440762 | 30 | No | Travel_Rarely | 1138 | Neurology | 6 | 3 | Technical Degree | 1 | 1 | Female | 48 | 2 | 2 | Nurse | 4 | Married | 4627 | 23631 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 2 | 6 | 7 | |
| 1581448 | 28 | No | Travel_Rarely | 821 | Cardiology | 5 | 4 | Medical | 1 | 1 | Male | 98 | 3 | 2 | Therapist | 4 | Single | 4908 | 24252 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 2 | 0 | 2 | |
| 1085909 | 36 | No | Travel_Frequently | 884 | Neurology | 23 | 2 | Medical | 1 | 3 | Male | 41 | 4 | 2 | Nurse | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 | |
| 1213892 | 31 | No | Non-Travel | 1188 | Cardiology | 20 | 2 | Marketing | 1 | 4 | Female | 45 | 3 | 2 | Therapist | 3 | Married | 6932 | 24406 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 2 | 2 | 9 | 8 | 0 | 0 | |
| 1461811 | 37 | No | Travel_Rarely | 342 | Cardiology | 16 | 4 | Marketing | 1 | 4 | Male | 66 | 2 | 2 | Therapist | 3 | Divorced | 6334 | 24558 | 4 | Y | No | 19 | 3 | 4 | 80 | 2 | 9 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1501908 | 35 | No | Travel_Rarely | 1276 | Maternity | 16 | 3 | Life Sciences | 1 | 4 | Male | 72 | 3 | 3 | Other | 3 | Married | 7632 | 14295 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 0 | |
| 1065186 | 49 | No | Travel_Rarely | 1098 | Maternity | 4 | 2 | Medical | 1 | 1 | Male | 85 | 2 | 5 | Admin | 3 | Married | 18711 | 12124 | 2 | Y | No | 13 | 3 | 3 | 80 | 1 | 23 | 2 | 4 | 1 | 0 | 0 | 0 | |
| 1382014 | 49 | No | Travel_Rarely | 722 | Neurology | 25 | 4 | Life Sciences | 1 | 3 | Female | 84 | 3 | 1 | Nurse | 1 | Married | 3211 | 22102 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 6 | 1 | 4 | |
| 1850673 | 42 | No | Travel_Frequently | 748 | Neurology | 9 | 2 | Medical | 1 | 1 | Female | 74 | 3 | 1 | Nurse | 4 | Single | 3673 | 16458 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 12 | 9 | 5 | 8 | |
| 1239516 | 31 | No | Travel_Rarely | 1332 | Maternity | 11 | 2 | Medical | 1 | 3 | Male | 80 | 3 | 2 | Other | 1 | Married | 6833 | 17089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 6 | 5 | 0 | 1 | |
| 1290256 | 30 | No | Travel_Rarely | 1427 | Neurology | 2 | 1 | Medical | 1 | 2 | Male | 35 | 2 | 1 | Nurse | 4 | Single | 2720 | 11162 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 3 | 1 | 2 | |
| 1239491 | 35 | No | Travel_Rarely | 619 | Cardiology | 1 | 3 | Marketing | 1 | 2 | Male | 85 | 3 | 2 | Therapist | 3 | Married | 4717 | 18659 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 | |
| 1822238 | 28 | No | Travel_Rarely | 857 | Maternity | 10 | 3 | Other | 1 | 3 | Female | 59 | 3 | 2 | Nurse | 3 | Single | 3660 | 7909 | 3 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 8 | 7 | 1 | 7 | |
| 1220579 | 39 | No | Travel_Rarely | 360 | Maternity | 23 | 3 | Medical | 1 | 3 | Male | 93 | 3 | 1 | Nurse | 1 | Single | 3904 | 22154 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 5 | 2 | 0 | 3 | |
| 1143606 | 48 | No | Travel_Rarely | 817 | Cardiology | 2 | 1 | Marketing | 1 | 2 | Male | 56 | 4 | 2 | Therapist | 2 | Married | 8120 | 18597 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 12 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1200749 | 34 | No | Travel_Rarely | 401 | Neurology | 1 | 3 | Life Sciences | 1 | 4 | Female | 86 | 2 | 1 | Nurse | 2 | Married | 3294 | 3708 | 5 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 2 | 2 | 5 | 4 | 0 | 2 | |
| 1633070 | 55 | No | Travel_Rarely | 282 | Maternity | 2 | 2 | Medical | 1 | 4 | Female | 58 | 1 | 5 | Admin | 3 | Married | 19187 | 6992 | 4 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 5 | 3 | 19 | 9 | 9 | 11 | |
| 1066528 | 38 | No | Non-Travel | 1336 | Neurology | 2 | 3 | Human Resources | 1 | 1 | Male | 100 | 3 | 1 | Other | 2 | Divorced | 2592 | 7129 | 5 | Y | No | 13 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 11 | 10 | 3 | 8 | |
| 1157111 | 37 | No | Travel_Rarely | 309 | Cardiology | 10 | 4 | Life Sciences | 1 | 4 | Female | 88 | 2 | 2 | Nurse | 4 | Divorced | 6694 | 24223 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1792052 | 29 | No | Travel_Rarely | 665 | Maternity | 15 | 3 | Life Sciences | 1 | 3 | Male | 60 | 3 | 1 | Nurse | 4 | Single | 2340 | 22673 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 6 | 1 | 3 | 6 | 5 | 1 | 5 | |
| 1676128 | 35 | No | Non-Travel | 727 | Neurology | 3 | 3 | Life Sciences | 1 | 3 | Male | 41 | 2 | 1 | Nurse | 3 | Married | 1281 | 16900 | 1 | Y | No | 18 | 3 | 3 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1148181 | 33 | No | Travel_Frequently | 1146 | Cardiology | 25 | 3 | Medical | 1 | 2 | Female | 82 | 3 | 2 | Nurse | 3 | Married | 4539 | 4905 | 1 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 7 | 0 | 1 | |
| 1844032 | 36 | No | Travel_Rarely | 530 | Cardiology | 2 | 4 | Life Sciences | 1 | 3 | Female | 51 | 3 | 2 | Other | 4 | Single | 4502 | 7439 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 17 | 2 | 2 | 13 | 7 | 6 | 7 | |
| 1146009 | 23 | No | Travel_Rarely | 977 | Maternity | 10 | 3 | Technical Degree | 1 | 4 | Male | 45 | 4 | 1 | Nurse | 3 | Married | 2073 | 12826 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 | |
| 1090887 | 32 | No | Travel_Frequently | 1005 | Neurology | 2 | 2 | Life Sciences | 1 | 4 | Male | 79 | 3 | 1 | Nurse | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 | |
| 1709085 | 36 | No | Travel_Rarely | 884 | Cardiology | 1 | 4 | Life Sciences | 1 | 2 | Female | 73 | 3 | 2 | Nurse | 3 | Single | 6815 | 21447 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 15 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1767733 | 42 | No | Travel_Frequently | 288 | Maternity | 2 | 3 | Life Sciences | 1 | 4 | Male | 40 | 3 | 3 | Other | 4 | Married | 10124 | 18611 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 24 | 3 | 1 | 20 | 8 | 13 | 9 | |
| 1790839 | 55 | No | Travel_Frequently | 135 | Maternity | 18 | 4 | Medical | 1 | 3 | Male | 62 | 3 | 2 | Other | 2 | Married | 6385 | 12992 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 17 | 3 | 3 | 8 | 7 | 6 | 7 | |
| 1629597 | 35 | No | Travel_Rarely | 735 | Maternity | 6 | 1 | Life Sciences | 1 | 3 | Male | 66 | 3 | 1 | Nurse | 3 | Married | 3506 | 6020 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 2 | 2 | |
| 1209768 | 40 | No | Travel_Frequently | 692 | Neurology | 11 | 3 | Technical Degree | 1 | 4 | Female | 73 | 3 | 2 | Nurse | 3 | Married | 6323 | 26849 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 10 | 9 | 9 | 4 | |
| 1037474 | 28 | No | Non-Travel | 1366 | Maternity | 24 | 2 | Technical Degree | 1 | 2 | Male | 72 | 2 | 3 | Other | 1 | Single | 8722 | 12355 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 1 | 9 | |
| 1110876 | 37 | No | Travel_Frequently | 504 | Maternity | 10 | 3 | Medical | 1 | 1 | Male | 61 | 3 | 3 | Therapist | 3 | Divorced | 10048 | 22573 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 17 | 5 | 3 | 1 | 0 | 0 | 0 | |
| 1302685 | 40 | No | Travel_Rarely | 898 | Neurology | 6 | 2 | Medical | 1 | 3 | Male | 38 | 3 | 4 | Admin | 4 | Single | 16437 | 17381 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 21 | 2 | 3 | 21 | 7 | 7 | 7 | |
| 1638565 | 28 | No | Travel_Rarely | 440 | Maternity | 21 | 3 | Medical | 1 | 3 | Male | 42 | 3 | 1 | Nurse | 4 | Married | 2713 | 6672 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 2 | |
| 1075989 | 28 | No | Non-Travel | 1476 | Neurology | 1 | 3 | Life Sciences | 1 | 3 | Female | 55 | 1 | 2 | Nurse | 4 | Married | 6674 | 16392 | 0 | Y | No | 11 | 3 | 1 | 80 | 3 | 10 | 6 | 3 | 9 | 8 | 7 | 5 | |
| 1440066 | 29 | No | Travel_Rarely | 1082 | Neurology | 9 | 4 | Medical | 1 | 4 | Female | 43 | 3 | 1 | Nurse | 3 | Married | 2974 | 25412 | 9 | Y | No | 17 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 5 | 3 | 1 | 2 | |
| 1432464 | 36 | No | Travel_Frequently | 566 | Neurology | 18 | 4 | Life Sciences | 1 | 3 | Male | 81 | 4 | 1 | Nurse | 4 | Married | 3688 | 7122 | 4 | Y | No | 18 | 3 | 4 | 80 | 2 | 4 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1051013 | 35 | No | Travel_Rarely | 1017 | Maternity | 6 | 4 | Life Sciences | 1 | 2 | Male | 82 | 1 | 2 | Nurse | 4 | Single | 6646 | 19368 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 11 | 11 | 8 | |
| 1800484 | 42 | No | Travel_Frequently | 1474 | Neurology | 5 | 2 | Other | 1 | 2 | Male | 97 | 3 | 1 | Nurse | 3 | Married | 2093 | 9260 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 2 | 2 | 2 | 0 | |
| 1553672 | 47 | No | Non-Travel | 666 | Maternity | 29 | 4 | Life Sciences | 1 | 1 | Male | 88 | 3 | 3 | Admin | 2 | Married | 11849 | 10268 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 9 | 9 | |
| 1619511 | 31 | No | Travel_Rarely | 1222 | Maternity | 11 | 4 | Life Sciences | 1 | 4 | Male | 48 | 3 | 1 | Nurse | 4 | Married | 2356 | 14871 | 3 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 6 | 4 | 0 | 2 | |
| 1575266 | 46 | No | Travel_Rarely | 991 | Neurology | 1 | 2 | Life Sciences | 1 | 4 | Female | 44 | 3 | 1 | Other | 1 | Single | 3423 | 22957 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 3 | 4 | 7 | 6 | 5 | 7 | |
| 1087770 | 45 | No | Travel_Rarely | 930 | Cardiology | 9 | 3 | Marketing | 1 | 4 | Male | 74 | 3 | 3 | Nurse | 1 | Divorced | 10761 | 19239 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 5 | 4 | 0 | 2 | |
| 1456073 | 38 | No | Travel_Rarely | 1180 | Maternity | 29 | 1 | Medical | 1 | 2 | Male | 70 | 3 | 2 | Other | 1 | Married | 6673 | 11354 | 7 | Y | Yes | 19 | 3 | 2 | 80 | 0 | 17 | 2 | 3 | 1 | 0 | 0 | 0 | |
| 1637476 | 34 | No | Travel_Rarely | 1107 | Neurology | 9 | 4 | Technical Degree | 1 | 1 | Female | 52 | 3 | 1 | Other | 3 | Married | 2742 | 3072 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 2 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1475807 | 46 | No | Travel_Rarely | 526 | Cardiology | 1 | 2 | Marketing | 1 | 2 | Female | 92 | 3 | 3 | Nurse | 1 | Divorced | 10453 | 2137 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 24 | 2 | 3 | 24 | 13 | 15 | 7 | |
| 1085062 | 35 | No | Travel_Rarely | 556 | Maternity | 23 | 2 | Life Sciences | 1 | 2 | Male | 50 | 2 | 2 | Therapist | 3 | Married | 5916 | 15497 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 1 | |
| 1640372 | 32 | No | Travel_Frequently | 585 | Maternity | 10 | 3 | Life Sciences | 1 | 1 | Male | 56 | 3 | 1 | Nurse | 3 | Married | 3433 | 17360 | 6 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 5 | 2 | 1 | 3 | |
| 1309511 | 36 | No | Travel_Frequently | 1302 | Neurology | 6 | 4 | Life Sciences | 1 | 1 | Male | 80 | 4 | 2 | Nurse | 1 | Married | 5562 | 19711 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 9 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1220459 | 49 | No | Travel_Frequently | 636 | Neurology | 10 | 4 | Life Sciences | 1 | 3 | Female | 35 | 3 | 5 | Therapist | 1 | Single | 18665 | 25594 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 22 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1048015 | 36 | No | Travel_Rarely | 311 | Neurology | 7 | 3 | Life Sciences | 1 | 1 | Male | 77 | 3 | 1 | Nurse | 2 | Single | 2013 | 10950 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 4 | 3 | 4 | 3 | 1 | 3 | |
| 1659102 | 43 | No | Travel_Frequently | 957 | Maternity | 28 | 3 | Medical | 1 | 2 | Female | 72 | 4 | 1 | Nurse | 3 | Single | 4739 | 16090 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 3 | 2 | 1 | 2 | |
| 1857447 | 27 | No | Non-Travel | 1277 | Neurology | 8 | 5 | Life Sciences | 1 | 1 | Male | 87 | 1 | 1 | Nurse | 3 | Married | 4621 | 5869 | 1 | Y | No | 19 | 3 | 4 | 80 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1586182 | 52 | No | Non-Travel | 585 | Cardiology | 29 | 4 | Life Sciences | 1 | 1 | Male | 40 | 3 | 1 | Other | 4 | Divorced | 3482 | 19788 | 2 | Y | No | 15 | 3 | 2 | 80 | 2 | 16 | 3 | 2 | 9 | 8 | 0 | 0 | |
| 1585668 | 58 | No | Travel_Rarely | 601 | Maternity | 7 | 4 | Medical | 1 | 3 | Female | 53 | 2 | 3 | Therapist | 1 | Married | 10008 | 12023 | 7 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 31 | 0 | 2 | 10 | 9 | 5 | 9 | |
| 1522053 | 53 | No | Travel_Rarely | 661 | Cardiology | 7 | 2 | Marketing | 1 | 1 | Female | 78 | 2 | 3 | Nurse | 4 | Married | 10934 | 20715 | 7 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 35 | 3 | 3 | 5 | 2 | 0 | 4 | |
| 1685220 | 36 | No | Travel_Rarely | 1456 | Cardiology | 13 | 5 | Marketing | 1 | 2 | Male | 96 | 2 | 2 | Nurse | 1 | Divorced | 6134 | 8658 | 5 | Y | Yes | 13 | 3 | 2 | 80 | 3 | 16 | 3 | 3 | 2 | 2 | 2 | 2 | |
| 1249536 | 25 | No | Travel_Rarely | 583 | Cardiology | 4 | 1 | Marketing | 1 | 3 | Male | 87 | 2 | 2 | Nurse | 1 | Married | 4256 | 18154 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 5 | 1 | 4 | 5 | 2 | 0 | 3 | |
| 1104176 | 29 | No | Travel_Rarely | 1283 | Maternity | 23 | 3 | Life Sciences | 1 | 4 | Male | 54 | 3 | 1 | Nurse | 4 | Single | 2201 | 18168 | 9 | Y | No | 16 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 3 | 2 | 1 | 2 | |
| 1602545 | 27 | No | Travel_Rarely | 1240 | Neurology | 2 | 4 | Life Sciences | 1 | 4 | Female | 33 | 3 | 1 | Nurse | 1 | Divorced | 2341 | 19715 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 1 | 6 | 3 | 1 | 0 | 0 | 0 | |
| 1433107 | 28 | No | Travel_Rarely | 1423 | Maternity | 1 | 3 | Life Sciences | 1 | 1 | Male | 72 | 2 | 1 | Nurse | 3 | Divorced | 1563 | 12530 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | |
| 1232119 | 27 | No | Non-Travel | 691 | Maternity | 9 | 3 | Medical | 1 | 4 | Male | 57 | 3 | 1 | Nurse | 2 | Divorced | 2024 | 5970 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 1 | 1 | 2 | 2 | 2 | 2 | |
| 1876599 | 29 | No | Travel_Rarely | 144 | Cardiology | 10 | 1 | Marketing | 1 | 4 | Female | 39 | 2 | 2 | Nurse | 2 | Divorced | 8268 | 11866 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 7 | 7 | 1 | 7 | |
| 1389456 | 24 | No | Travel_Frequently | 897 | Neurology | 10 | 3 | Medical | 1 | 1 | Male | 59 | 3 | 1 | Other | 4 | Married | 2145 | 2097 | 0 | Y | No | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 1 | |
| 1197555 | 38 | No | Travel_Rarely | 364 | Maternity | 3 | 5 | Technical Degree | 1 | 4 | Female | 32 | 3 | 2 | Nurse | 3 | Single | 4317 | 2302 | 3 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 19 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1285943 | 50 | No | Travel_Rarely | 1207 | Neurology | 28 | 1 | Medical | 1 | 4 | Male | 74 | 4 | 1 | Nurse | 3 | Married | 3221 | 3297 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 | |
| 1108108 | 29 | No | Travel_Frequently | 574 | Neurology | 20 | 1 | Medical | 1 | 4 | Male | 40 | 3 | 1 | Nurse | 4 | Married | 3812 | 7003 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 11 | 3 | 4 | 11 | 8 | 3 | 10 | |
| 1215433 | 25 | No | Travel_Rarely | 622 | Cardiology | 13 | 1 | Medical | 1 | 2 | Male | 40 | 3 | 1 | Other | 3 | Married | 2096 | 26376 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 1 | 3 | 7 | 4 | 0 | 6 | |
| 1565509 | 32 | No | Non-Travel | 1109 | Neurology | 29 | 4 | Medical | 1 | 4 | Female | 69 | 3 | 1 | Nurse | 3 | Single | 4025 | 11135 | 9 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 7 | 7 | |
| 1845170 | 24 | No | Travel_Frequently | 535 | Cardiology | 24 | 3 | Medical | 1 | 4 | Male | 38 | 3 | 1 | Other | 4 | Married | 2400 | 5530 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 | |
| 1188199 | 33 | No | Travel_Rarely | 118 | Cardiology | 16 | 3 | Marketing | 1 | 1 | Female | 69 | 3 | 2 | Nurse | 1 | Single | 5324 | 26507 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1548215 | 37 | No | Travel_Rarely | 290 | Maternity | 21 | 3 | Life Sciences | 1 | 2 | Male | 65 | 4 | 1 | Nurse | 1 | Married | 3564 | 22977 | 1 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 8 | 3 | 2 | 8 | 7 | 1 | 7 | |
| 1698428 | 27 | No | Travel_Rarely | 975 | Maternity | 7 | 3 | Medical | 1 | 4 | Female | 55 | 2 | 2 | Other | 1 | Single | 6811 | 23398 | 8 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 2 | 1 | 7 | 6 | 0 | 7 | |
| 1389834 | 44 | No | Travel_Frequently | 383 | Cardiology | 1 | 5 | Marketing | 1 | 1 | Female | 79 | 3 | 2 | Nurse | 3 | Married | 4768 | 9282 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 1 | 0 | 0 | 0 | |
| 1533883 | 38 | No | Travel_Rarely | 723 | Cardiology | 2 | 4 | Marketing | 1 | 2 | Female | 77 | 1 | 2 | Other | 4 | Married | 5405 | 4244 | 2 | Y | Yes | 20 | 4 | 1 | 80 | 2 | 20 | 4 | 2 | 4 | 2 | 0 | 3 | |
| 1746047 | 36 | No | Travel_Rarely | 318 | Maternity | 9 | 3 | Medical | 1 | 4 | Male | 79 | 2 | 1 | Nurse | 3 | Married | 3388 | 21777 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | |
| 1431094 | 26 | No | Travel_Rarely | 583 | Maternity | 4 | 2 | Life Sciences | 1 | 3 | Male | 53 | 3 | 1 | Nurse | 4 | Single | 2875 | 9973 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 8 | 2 | 2 | 8 | 5 | 2 | 2 | |
| 1173245 | 31 | No | Travel_Frequently | 444 | Cardiology | 5 | 3 | Marketing | 1 | 4 | Female | 84 | 3 | 1 | Other | 2 | Divorced | 2789 | 3909 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 | |
| 1309082 | 29 | No | Travel_Rarely | 352 | Neurology | 6 | 1 | Medical | 1 | 4 | Male | 87 | 2 | 1 | Other | 2 | Married | 2804 | 15434 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | |
| 1545418 | 35 | No | Travel_Rarely | 144 | Neurology | 22 | 3 | Life Sciences | 1 | 4 | Male | 46 | 1 | 1 | Nurse | 3 | Single | 4230 | 19225 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 5 | 4 | 4 | 3 | |
| 1655170 | 47 | No | Travel_Frequently | 217 | Cardiology | 3 | 3 | Medical | 1 | 4 | Female | 49 | 3 | 4 | Nurse | 3 | Divorced | 13770 | 10225 | 9 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 28 | 2 | 2 | 22 | 2 | 11 | 13 | |
| 1293281 | 20 | No | Travel_Rarely | 500 | Cardiology | 2 | 3 | Medical | 1 | 3 | Female | 49 | 2 | 1 | Other | 3 | Single | 2044 | 22052 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 0 | 2 | |
| 1031059 | 42 | No | Travel_Rarely | 916 | Maternity | 17 | 2 | Life Sciences | 1 | 4 | Female | 82 | 4 | 2 | Nurse | 1 | Single | 6545 | 23016 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 1 | 3 | 3 | 2 | 0 | 2 | |
| 1505419 | 50 | No | Travel_Rarely | 410 | Cardiology | 28 | 3 | Marketing | 1 | 4 | Male | 39 | 2 | 3 | Nurse | 1 | Divorced | 10854 | 16586 | 4 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 20 | 3 | 3 | 3 | 2 | 2 | 0 | |
| 1222421 | 32 | No | Travel_Rarely | 371 | Cardiology | 19 | 3 | Life Sciences | 1 | 4 | Male | 80 | 1 | 3 | Nurse | 3 | Married | 9610 | 3840 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 10 | 2 | 1 | 4 | 3 | 0 | 2 | |
| 1620322 | 26 | No | Travel_Rarely | 1330 | Neurology | 21 | 3 | Medical | 1 | 1 | Male | 37 | 3 | 1 | Nurse | 3 | Divorced | 2377 | 19373 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | |
| 1474227 | 25 | No | Travel_Rarely | 383 | Cardiology | 9 | 2 | Life Sciences | 1 | 1 | Male | 68 | 2 | 1 | Other | 1 | Married | 4400 | 15182 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 3 | 2 | 2 | 2 | |
| 1101293 | 44 | No | Non-Travel | 381 | Neurology | 24 | 3 | Medical | 1 | 1 | Male | 49 | 1 | 1 | Nurse | 3 | Single | 3708 | 2104 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 5 | 3 | 5 | 2 | 1 | 4 | |
| 1327800 | 34 | No | Travel_Rarely | 204 | Cardiology | 14 | 3 | Technical Degree | 1 | 3 | Female | 31 | 3 | 1 | Other | 3 | Divorced | 2579 | 2912 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 8 | 3 | 3 | 8 | 2 | 0 | 6 | |
| 1162185 | 28 | Yes | Travel_Frequently | 773 | Maternity | 6 | 3 | Life Sciences | 1 | 3 | Male | 39 | 2 | 1 | Nurse | 3 | Divorced | 2703 | 22088 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 | |
| 1168729 | 19 | Yes | Travel_Rarely | 303 | Neurology | 2 | 3 | Life Sciences | 1 | 2 | Male | 47 | 2 | 1 | Nurse | 4 | Single | 1102 | 9241 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | |
| 1544044 | 31 | Yes | Travel_Frequently | 754 | Cardiology | 26 | 4 | Marketing | 1 | 1 | Male | 63 | 3 | 2 | Nurse | 4 | Married | 5617 | 21075 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 10 | 7 | 0 | 8 | |
| 1114030 | 37 | Yes | Non-Travel | 1252 | Cardiology | 19 | 2 | Medical | 1 | 1 | Male | 32 | 3 | 3 | Nurse | 2 | Single | 7642 | 4814 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 0 | 0 | 9 | |
| 1751929 | 22 | Yes | Travel_Frequently | 1256 | Maternity | 3 | 4 | Life Sciences | 1 | 3 | Male | 48 | 2 | 1 | Nurse | 4 | Married | 2853 | 4223 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 | |
| 1267282 | 31 | Yes | Travel_Rarely | 202 | Maternity | 8 | 3 | Life Sciences | 1 | 1 | Female | 34 | 2 | 1 | Nurse | 2 | Single | 1261 | 22262 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 | |
| 1855095 | 27 | Yes | Travel_Frequently | 1297 | Neurology | 5 | 2 | Life Sciences | 1 | 4 | Female | 53 | 3 | 1 | Nurse | 4 | Single | 2379 | 19826 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 4 | 0 | 2 | |
| 1837772 | 26 | Yes | Travel_Rarely | 1443 | Cardiology | 23 | 3 | Marketing | 1 | 3 | Female | 47 | 2 | 2 | Nurse | 4 | Married | 4157 | 21436 | 7 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 5 | 2 | 2 | 2 | 2 | 0 | 0 | |
| 1704323 | 29 | Yes | Travel_Rarely | 341 | Cardiology | 1 | 3 | Medical | 1 | 2 | Female | 48 | 2 | 1 | Other | 3 | Divorced | 2800 | 23522 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 3 | 5 | 3 | 3 | 3 | 2 | 0 | 2 | |
| 1622091 | 26 | Yes | Non-Travel | 265 | Cardiology | 29 | 2 | Medical | 1 | 2 | Male | 79 | 1 | 2 | Nurse | 1 | Single | 4969 | 21813 | 8 | Y | No | 18 | 3 | 4 | 80 | 0 | 7 | 6 | 3 | 2 | 2 | 2 | 2 | |
| 1734708 | 31 | Yes | Travel_Frequently | 1060 | Cardiology | 1 | 3 | Life Sciences | 1 | 4 | Female | 54 | 3 | 1 | Other | 2 | Single | 2302 | 8319 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 3 | 2 | 4 | 3 | 2 | 2 | 2 | |
| 1747750 | 29 | Yes | Travel_Rarely | 942 | Maternity | 15 | 1 | Life Sciences | 1 | 2 | Female | 69 | 1 | 1 | Nurse | 4 | Married | 2168 | 26933 | 0 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 5 | 4 | 1 | 3 | |
| 1341748 | 26 | Yes | Travel_Frequently | 426 | Neurology | 17 | 4 | Life Sciences | 1 | 2 | Female | 58 | 3 | 1 | Other | 3 | Divorced | 2741 | 22808 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 7 | 7 | 1 | 0 | |
| 1415325 | 23 | Yes | Travel_Rarely | 1243 | Neurology | 6 | 3 | Life Sciences | 1 | 3 | Male | 63 | 4 | 1 | Nurse | 1 | Married | 1601 | 3445 | 1 | Y | Yes | 21 | 4 | 3 | 80 | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | |
| 1663404 | 34 | Yes | Travel_Rarely | 790 | Cardiology | 24 | 4 | Medical | 1 | 1 | Female | 40 | 2 | 2 | Nurse | 2 | Single | 4599 | 7815 | 0 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 16 | 2 | 4 | 15 | 9 | 10 | 10 | |
| 1549806 | 21 | Yes | Travel_Frequently | 251 | Neurology | 10 | 2 | Life Sciences | 1 | 1 | Female | 45 | 2 | 1 | Nurse | 3 | Single | 2625 | 25308 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | |
| 1874133 | 31 | Yes | Travel_Rarely | 1276 | Neurology | 2 | 1 | Medical | 1 | 4 | Female | 59 | 1 | 1 | Nurse | 4 | Divorced | 1129 | 17536 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 | |
| 1175959 | 28 | Yes | Travel_Rarely | 329 | Neurology | 24 | 3 | Medical | 1 | 3 | Male | 51 | 3 | 1 | Nurse | 2 | Married | 2408 | 7324 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 1 | 0 | 0 | |
| 1655666 | 20 | Yes | Travel_Frequently | 871 | Neurology | 6 | 3 | Life Sciences | 1 | 4 | Female | 66 | 2 | 1 | Nurse | 4 | Single | 2926 | 19783 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 0 | |
| 1602218 | 33 | Yes | Travel_Rarely | 1017 | Maternity | 25 | 3 | Medical | 1 | 1 | Male | 55 | 2 | 1 | Nurse | 2 | Single | 2313 | 2993 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 5 | 0 | 3 | 2 | 2 | 2 | 2 | |
| 1336016 | 28 | Yes | Travel_Rarely | 654 | Maternity | 1 | 2 | Life Sciences | 1 | 1 | Female | 67 | 1 | 1 | Nurse | 2 | Single | 2216 | 3872 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 3 | 7 | 7 | 3 | 7 | |
| 1117656 | 26 | Yes | Travel_Rarely | 471 | Neurology | 24 | 3 | Technical Degree | 1 | 3 | Male | 66 | 1 | 1 | Nurse | 4 | Single | 2340 | 23213 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | |
| 1152327 | 46 | No | Travel_Rarely | 1125 | Cardiology | 10 | 3 | Marketing | 1 | 3 | Female | 94 | 2 | 3 | Nurse | 4 | Married | 9071 | 11563 | 2 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 3 | 2 | 1 | 2 | |
| 1812428 | 20 | No | Travel_Rarely | 959 | Maternity | 1 | 3 | Life Sciences | 1 | 4 | Female | 83 | 2 | 1 | Other | 2 | Single | 2836 | 11757 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 0 | |
| 1812429 | 39 | No | Travel_Rarely | 466 | Neurology | 1 | 1 | Life Sciences | 1 | 4 | Female | 65 | 2 | 4 | Therapist | 4 | Married | 12742 | 7060 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 6 | 11 | 8 | |
| 1152329 | 27 | No | Travel_Rarely | 511 | Cardiology | 2 | 2 | Medical | 1 | 1 | Female | 89 | 4 | 2 | Nurse | 3 | Single | 6500 | 26997 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 8 | 7 | 0 | 7 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment