Mathematics - Statistics Excel Assignment
maya93
BTLinearRegression.xlsxBig Tech
| Age | Attrition | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager |
| 41 | Yes | Travel_Rarely | 1102 | Sales | 1 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
| 49 | No | Travel_Frequently | 279 | Research & Development | 8 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
| 37 | Yes | Travel_Rarely | 1373 | Research & Development | 2 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 33 | No | Travel_Frequently | 1392 | Research & Development | 3 | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
| 27 | No | Travel_Rarely | 591 | Research & Development | 2 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 32 | No | Travel_Frequently | 1005 | Research & Development | 2 | 2 | Life Sciences | 1 | 8 | 4 | Male | 79 | 3 | 1 | Laboratory Technician | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 |
| 59 | No | Travel_Rarely | 1324 | Research & Development | 3 | 3 | Medical | 1 | 10 | 3 | Female | 81 | 4 | 1 | Laboratory Technician | 1 | Married | 2670 | 9964 | 4 | Y | Yes | 20 | 4 | 1 | 80 | 3 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 30 | No | Travel_Rarely | 1358 | Research & Development | 24 | 1 | Life Sciences | 1 | 11 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2693 | 13335 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 38 | No | Travel_Frequently | 216 | Research & Development | 23 | 3 | Life Sciences | 1 | 12 | 4 | Male | 44 | 2 | 3 | Manufacturing Director | 3 | Single | 9526 | 8787 | 0 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 1 | 8 |
| 36 | No | Travel_Rarely | 1299 | Research & Development | 27 | 3 | Medical | 1 | 13 | 3 | Male | 94 | 3 | 2 | Healthcare Representative | 3 | Married | 5237 | 16577 | 6 | Y | No | 13 | 3 | 2 | 80 | 2 | 17 | 3 | 2 | 7 | 7 | 7 | 7 |
| 35 | No | Travel_Rarely | 809 | Research & Development | 16 | 3 | Medical | 1 | 14 | 1 | Male | 84 | 4 | 1 | Laboratory Technician | 2 | Married | 2426 | 16479 | 0 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 5 | 4 | 0 | 3 |
| 29 | No | Travel_Rarely | 153 | Research & Development | 15 | 2 | Life Sciences | 1 | 15 | 4 | Female | 49 | 2 | 2 | Laboratory Technician | 3 | Single | 4193 | 12682 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 9 | 5 | 0 | 8 |
| 31 | No | Travel_Rarely | 670 | Research & Development | 26 | 1 | Life Sciences | 1 | 16 | 1 | Male | 31 | 3 | 1 | Research Scientist | 3 | Divorced | 2911 | 15170 | 1 | Y | No | 17 | 3 | 4 | 80 | 1 | 5 | 1 | 2 | 5 | 2 | 4 | 3 |
| 34 | No | Travel_Rarely | 1346 | Research & Development | 19 | 2 | Medical | 1 | 18 | 2 | Male | 93 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2661 | 8758 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 1 | 2 |
| 28 | Yes | Travel_Rarely | 103 | Research & Development | 24 | 3 | Life Sciences | 1 | 19 | 3 | Male | 50 | 2 | 1 | Laboratory Technician | 3 | Single | 2028 | 12947 | 5 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 4 | 2 | 0 | 3 |
| 29 | No | Travel_Rarely | 1389 | Research & Development | 21 | 4 | Life Sciences | 1 | 20 | 2 | Female | 51 | 4 | 3 | Manufacturing Director | 1 | Divorced | 9980 | 10195 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 8 | 8 |
| 32 | No | Travel_Rarely | 334 | Research & Development | 5 | 2 | Life Sciences | 1 | 21 | 1 | Male | 80 | 4 | 1 | Research Scientist | 2 | Divorced | 3298 | 15053 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 7 | 5 | 2 | 6 | 2 | 0 | 5 |
| 22 | No | Non-Travel | 1123 | Research & Development | 16 | 2 | Medical | 1 | 22 | 4 | Male | 96 | 4 | 1 | Laboratory Technician | 4 | Divorced | 2935 | 7324 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
| 53 | No | Travel_Rarely | 1219 | Sales | 2 | 4 | Life Sciences | 1 | 23 | 1 | Female | 78 | 2 | 4 | Manager | 4 | Married | 15427 | 22021 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 31 | 3 | 3 | 25 | 8 | 3 | 7 |
| 38 | No | Travel_Rarely | 371 | Research & Development | 2 | 3 | Life Sciences | 1 | 24 | 4 | Male | 45 | 3 | 1 | Research Scientist | 4 | Single | 3944 | 4306 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
| 24 | No | Non-Travel | 673 | Research & Development | 11 | 2 | Other | 1 | 26 | 1 | Female | 96 | 4 | 2 | Manufacturing Director | 3 | Divorced | 4011 | 8232 | 0 | Y | No | 18 | 3 | 4 | 80 | 1 | 5 | 5 | 2 | 4 | 2 | 1 | 3 |
| 36 | Yes | Travel_Rarely | 1218 | Sales | 9 | 4 | Life Sciences | 1 | 27 | 3 | Male | 82 | 2 | 1 | Sales Representative | 1 | Single | 3407 | 6986 | 7 | Y | No | 23 | 4 | 2 | 80 | 0 | 10 | 4 | 3 | 5 | 3 | 0 | 3 |
| 34 | No | Travel_Rarely | 419 | Research & Development | 7 | 4 | Life Sciences | 1 | 28 | 1 | Female | 53 | 3 | 3 | Research Director | 2 | Single | 11994 | 21293 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 13 | 4 | 3 | 12 | 6 | 2 | 11 |
| 21 | No | Travel_Rarely | 391 | Research & Development | 15 | 2 | Life Sciences | 1 | 30 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Single | 1232 | 19281 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 0 |
| 34 | Yes | Travel_Rarely | 699 | Research & Development | 6 | 1 | Medical | 1 | 31 | 2 | Male | 83 | 3 | 1 | Research Scientist | 1 | Single | 2960 | 17102 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 4 | 2 | 1 | 3 |
| 53 | No | Travel_Rarely | 1282 | Research & Development | 5 | 3 | Other | 1 | 32 | 3 | Female | 58 | 3 | 5 | Manager | 3 | Divorced | 19094 | 10735 | 4 | Y | No | 11 | 3 | 4 | 80 | 1 | 26 | 3 | 2 | 14 | 13 | 4 | 8 |
| 32 | Yes | Travel_Frequently | 1125 | Research & Development | 16 | 1 | Life Sciences | 1 | 33 | 2 | Female | 72 | 1 | 1 | Research Scientist | 1 | Single | 3919 | 4681 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 2 | 6 | 7 |
| 42 | No | Travel_Rarely | 691 | Sales | 8 | 4 | Marketing | 1 | 35 | 3 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6825 | 21173 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 4 | 2 |
| 44 | No | Travel_Rarely | 477 | Research & Development | 7 | 4 | Medical | 1 | 36 | 1 | Female | 42 | 2 | 3 | Healthcare Representative | 4 | Married | 10248 | 2094 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 22 | 6 | 5 | 17 |
| 46 | No | Travel_Rarely | 705 | Sales | 2 | 4 | Marketing | 1 | 38 | 2 | Female | 83 | 3 | 5 | Manager | 1 | Single | 18947 | 22822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 2 | 2 | 2 | 1 |
| 33 | No | Travel_Rarely | 924 | Research & Development | 2 | 3 | Medical | 1 | 39 | 3 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2496 | 6670 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 7 | 3 | 3 | 1 | 1 | 0 | 0 |
| 44 | No | Travel_Rarely | 1459 | Research & Development | 10 | 4 | Other | 1 | 40 | 4 | Male | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 6465 | 19121 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 4 | 2 | 1 | 3 |
| 30 | No | Travel_Rarely | 125 | Research & Development | 9 | 2 | Medical | 1 | 41 | 4 | Male | 83 | 2 | 1 | Laboratory Technician | 3 | Single | 2206 | 16117 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 5 | 3 | 10 | 0 | 1 | 8 |
| 39 | Yes | Travel_Rarely | 895 | Sales | 5 | 3 | Technical Degree | 1 | 42 | 4 | Male | 56 | 3 | 2 | Sales Representative | 4 | Married | 2086 | 3335 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 6 | 4 | 1 | 0 | 0 | 0 |
| 24 | Yes | Travel_Rarely | 813 | Research & Development | 1 | 3 | Medical | 1 | 45 | 2 | Male | 61 | 3 | 1 | Research Scientist | 4 | Married | 2293 | 3020 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 2 | 0 | 2 | 0 |
| 43 | No | Travel_Rarely | 1273 | Research & Development | 2 | 2 | Medical | 1 | 46 | 4 | Female | 72 | 4 | 1 | Research Scientist | 3 | Divorced | 2645 | 21923 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 1 | 4 |
| 50 | Yes | Travel_Rarely | 869 | Sales | 3 | 2 | Marketing | 1 | 47 | 1 | Male | 86 | 2 | 1 | Sales Representative | 3 | Married | 2683 | 3810 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 35 | No | Travel_Rarely | 890 | Sales | 2 | 3 | Marketing | 1 | 49 | 4 | Female | 97 | 3 | 1 | Sales Representative | 4 | Married | 2014 | 9687 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 36 | No | Travel_Rarely | 852 | Research & Development | 5 | 4 | Life Sciences | 1 | 51 | 2 | Female | 82 | 2 | 1 | Research Scientist | 1 | Married | 3419 | 13072 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 6 | 3 | 4 | 1 | 1 | 0 | 0 |
| 33 | No | Travel_Frequently | 1141 | Sales | 1 | 3 | Life Sciences | 1 | 52 | 3 | Female | 42 | 4 | 2 | Sales Executive | 1 | Married | 5376 | 3193 | 2 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 5 | 3 | 1 | 3 |
| 35 | No | Travel_Rarely | 464 | Research & Development | 4 | 2 | Other | 1 | 53 | 3 | Male | 75 | 3 | 1 | Laboratory Technician | 4 | Divorced | 1951 | 10910 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 27 | No | Travel_Rarely | 1240 | Research & Development | 2 | 4 | Life Sciences | 1 | 54 | 4 | Female | 33 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2341 | 19715 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 26 | Yes | Travel_Rarely | 1357 | Research & Development | 25 | 3 | Life Sciences | 1 | 55 | 1 | Male | 48 | 1 | 1 | Laboratory Technician | 3 | Single | 2293 | 10558 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 2 | 2 | 1 | 0 | 0 | 1 |
| 27 | No | Travel_Frequently | 994 | Sales | 8 | 3 | Life Sciences | 1 | 56 | 4 | Male | 37 | 3 | 3 | Sales Executive | 3 | Single | 8726 | 2975 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 0 | 3 | 9 | 8 | 1 | 7 |
| 30 | No | Travel_Frequently | 721 | Research & Development | 1 | 2 | Medical | 1 | 57 | 3 | Female | 58 | 3 | 2 | Laboratory Technician | 4 | Single | 4011 | 10781 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 12 | 2 | 3 | 12 | 8 | 3 | 7 |
| 41 | Yes | Travel_Rarely | 1360 | Research & Development | 12 | 3 | Technical Degree | 1 | 58 | 2 | Female | 49 | 3 | 5 | Research Director | 3 | Married | 19545 | 16280 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 0 | 3 | 22 | 15 | 15 | 8 |
| 34 | No | Non-Travel | 1065 | Sales | 23 | 4 | Marketing | 1 | 60 | 2 | Male | 72 | 3 | 2 | Sales Executive | 3 | Single | 4568 | 10034 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 10 | 2 | 3 | 9 | 5 | 8 | 7 |
| 37 | No | Travel_Rarely | 408 | Research & Development | 19 | 2 | Life Sciences | 1 | 61 | 2 | Male | 73 | 3 | 1 | Research Scientist | 2 | Married | 3022 | 10227 | 4 | Y | No | 21 | 4 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
| 46 | No | Travel_Frequently | 1211 | Sales | 5 | 4 | Marketing | 1 | 62 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 5772 | 20445 | 4 | Y | Yes | 21 | 4 | 3 | 80 | 0 | 14 | 4 | 3 | 9 | 6 | 0 | 8 |
| 35 | No | Travel_Rarely | 1229 | Research & Development | 8 | 1 | Life Sciences | 1 | 63 | 4 | Male | 36 | 4 | 1 | Laboratory Technician | 4 | Married | 2269 | 4892 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 48 | Yes | Travel_Rarely | 626 | Research & Development | 1 | 2 | Life Sciences | 1 | 64 | 1 | Male | 98 | 2 | 3 | Laboratory Technician | 3 | Single | 5381 | 19294 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 1 | 0 | 0 | 0 |
| 28 | Yes | Travel_Rarely | 1434 | Research & Development | 5 | 4 | Technical Degree | 1 | 65 | 3 | Male | 50 | 3 | 1 | Laboratory Technician | 3 | Single | 3441 | 11179 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 2 |
| 44 | No | Travel_Rarely | 1488 | Sales | 1 | 5 | Marketing | 1 | 68 | 2 | Female | 75 | 3 | 2 | Sales Executive | 1 | Divorced | 5454 | 4009 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 9 | 2 | 2 | 4 | 3 | 1 | 3 |
| 35 | No | Non-Travel | 1097 | Research & Development | 11 | 2 | Medical | 1 | 70 | 3 | Male | 79 | 2 | 3 | Healthcare Representative | 1 | Married | 9884 | 8302 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 4 | 0 | 2 | 3 |
| 26 | No | Travel_Rarely | 1443 | Sales | 23 | 3 | Marketing | 1 | 72 | 3 | Female | 47 | 2 | 2 | Sales Executive | 4 | Married | 4157 | 21436 | 7 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 5 | 2 | 2 | 2 | 2 | 0 | 0 |
| 33 | No | Travel_Frequently | 515 | Research & Development | 1 | 2 | Life Sciences | 1 | 73 | 1 | Female | 98 | 3 | 3 | Research Director | 4 | Single | 13458 | 15146 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 15 | 1 | 3 | 15 | 14 | 8 | 12 |
| 35 | No | Travel_Frequently | 853 | Sales | 18 | 5 | Life Sciences | 1 | 74 | 2 | Male | 71 | 3 | 3 | Sales Executive | 1 | Married | 9069 | 11031 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 9 | 3 | 2 | 9 | 8 | 1 | 8 |
| 35 | No | Travel_Rarely | 1142 | Research & Development | 23 | 4 | Medical | 1 | 75 | 3 | Female | 30 | 3 | 1 | Laboratory Technician | 1 | Married | 4014 | 16002 | 3 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 2 | 2 | 2 | 2 |
| 31 | No | Travel_Rarely | 655 | Research & Development | 7 | 4 | Life Sciences | 1 | 76 | 4 | Male | 48 | 3 | 2 | Laboratory Technician | 4 | Divorced | 5915 | 9528 | 3 | Y | No | 22 | 4 | 4 | 80 | 1 | 10 | 3 | 2 | 7 | 7 | 1 | 7 |
| 37 | No | Travel_Rarely | 1115 | Research & Development | 1 | 4 | Life Sciences | 1 | 77 | 1 | Male | 51 | 2 | 2 | Manufacturing Director | 3 | Divorced | 5993 | 2689 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 2 | 4 | 7 | 5 | 0 | 7 |
| 32 | No | Travel_Rarely | 427 | Research & Development | 1 | 3 | Medical | 1 | 78 | 1 | Male | 33 | 3 | 2 | Manufacturing Director | 4 | Married | 6162 | 10877 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 7 | 8 |
| 38 | No | Travel_Frequently | 653 | Research & Development | 29 | 5 | Life Sciences | 1 | 79 | 4 | Female | 50 | 3 | 2 | Laboratory Technician | 4 | Single | 2406 | 5456 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 3 | 9 | 9 |
| 50 | No | Travel_Rarely | 989 | Research & Development | 7 | 2 | Medical | 1 | 80 | 2 | Female | 43 | 2 | 5 | Research Director | 3 | Divorced | 18740 | 16701 | 5 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 27 | 3 | 13 | 8 |
| 59 | No | Travel_Rarely | 1435 | Sales | 25 | 3 | Life Sciences | 1 | 81 | 1 | Female | 99 | 3 | 3 | Sales Executive | 1 | Single | 7637 | 2354 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 21 | 16 | 7 | 9 |
| 36 | No | Travel_Rarely | 1223 | Research & Development | 8 | 3 | Technical Degree | 1 | 83 | 3 | Female | 59 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10096 | 8202 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 17 | 2 | 3 | 17 | 14 | 12 | 8 |
| 55 | No | Travel_Rarely | 836 | Research & Development | 8 | 3 | Medical | 1 | 84 | 4 | Female | 33 | 3 | 4 | Manager | 3 | Divorced | 14756 | 19730 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 21 | 2 | 3 | 5 | 0 | 0 | 2 |
| 36 | No | Travel_Frequently | 1195 | Research & Development | 11 | 3 | Life Sciences | 1 | 85 | 2 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6499 | 22656 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 0 | 3 |
| 45 | No | Travel_Rarely | 1339 | Research & Development | 7 | 3 | Life Sciences | 1 | 86 | 2 | Male | 59 | 3 | 3 | Research Scientist | 1 | Divorced | 9724 | 18787 | 2 | Y | No | 17 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 1 | 0 | 0 | 0 |
| 35 | No | Travel_Frequently | 664 | Research & Development | 1 | 3 | Medical | 1 | 88 | 2 | Male | 79 | 3 | 1 | Research Scientist | 1 | Married | 2194 | 5868 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
| 36 | Yes | Travel_Rarely | 318 | Research & Development | 9 | 3 | Medical | 1 | 90 | 4 | Male | 79 | 2 | 1 | Research Scientist | 3 | Married | 3388 | 21777 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 0 |
| 59 | No | Travel_Frequently | 1225 | Sales | 1 | 1 | Life Sciences | 1 | 91 | 1 | Female | 57 | 2 | 2 | Sales Executive | 3 | Single | 5473 | 24668 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 20 | 2 | 2 | 4 | 3 | 1 | 3 |
| 29 | No | Travel_Rarely | 1328 | Research & Development | 2 | 3 | Life Sciences | 1 | 94 | 3 | Male | 76 | 3 | 1 | Research Scientist | 2 | Married | 2703 | 4956 | 0 | Y | No | 23 | 4 | 4 | 80 | 1 | 6 | 3 | 3 | 5 | 4 | 0 | 4 |
| 31 | No | Travel_Rarely | 1082 | Research & Development | 1 | 4 | Medical | 1 | 95 | 3 | Male | 87 | 3 | 1 | Research Scientist | 2 | Single | 2501 | 18775 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 1 | 0 |
| 32 | No | Travel_Rarely | 548 | Research & Development | 1 | 3 | Life Sciences | 1 | 96 | 2 | Male | 66 | 3 | 2 | Research Scientist | 2 | Married | 6220 | 7346 | 1 | Y | No | 17 | 3 | 2 | 80 | 2 | 10 | 3 | 3 | 10 | 4 | 0 | 9 |
| 36 | No | Travel_Rarely | 132 | Research & Development | 6 | 3 | Life Sciences | 1 | 97 | 2 | Female | 55 | 4 | 1 | Laboratory Technician | 4 | Married | 3038 | 22002 | 3 | Y | No | 12 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 1 | 0 | 0 | 0 |
| 31 | No | Travel_Rarely | 746 | Research & Development | 8 | 4 | Life Sciences | 1 | 98 | 3 | Female | 61 | 3 | 2 | Manufacturing Director | 4 | Single | 4424 | 20682 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 11 | 2 | 3 | 11 | 7 | 1 | 8 |
| 35 | No | Travel_Rarely | 776 | Sales | 1 | 4 | Marketing | 1 | 100 | 3 | Male | 32 | 2 | 2 | Sales Executive | 1 | Single | 4312 | 23016 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 15 | 13 | 2 | 8 |
| 45 | No | Travel_Rarely | 193 | Research & Development | 6 | 4 | Other | 1 | 101 | 4 | Male | 52 | 3 | 3 | Research Director | 1 | Married | 13245 | 15067 | 4 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 17 | 3 | 4 | 0 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 397 | Research & Development | 7 | 4 | Medical | 1 | 102 | 1 | Male | 30 | 3 | 3 | Research Director | 3 | Single | 13664 | 25258 | 4 | Y | No | 13 | 3 | 1 | 80 | 0 | 16 | 3 | 4 | 5 | 2 | 0 | 2 |
| 46 | No | Travel_Rarely | 945 | Human Resources | 5 | 2 | Medical | 1 | 103 | 2 | Male | 80 | 3 | 2 | Human Resources | 2 | Divorced | 5021 | 10425 | 8 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 16 | 2 | 3 | 4 | 2 | 0 | 2 |
| 30 | No | Travel_Rarely | 852 | Research & Development | 1 | 1 | Life Sciences | 1 | 104 | 4 | Male | 55 | 2 | 2 | Laboratory Technician | 4 | Married | 5126 | 15998 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 10 | 1 | 2 | 10 | 8 | 3 | 0 |
| 35 | No | Travel_Rarely | 1214 | Research & Development | 1 | 3 | Medical | 1 | 105 | 2 | Male | 30 | 2 | 1 | Research Scientist | 3 | Single | 2859 | 26278 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 4 | 0 | 4 |
| 55 | No | Travel_Rarely | 111 | Sales | 1 | 2 | Life Sciences | 1 | 106 | 1 | Male | 70 | 3 | 3 | Sales Executive | 4 | Married | 10239 | 18092 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 1 | 0 | 1 | 0 |
| 38 | No | Non-Travel | 573 | Research & Development | 6 | 3 | Medical | 1 | 107 | 2 | Female | 79 | 1 | 2 | Research Scientist | 4 | Divorced | 5329 | 15717 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 3 | 17 | 3 | 3 | 13 | 11 | 1 | 9 |
| 34 | No | Travel_Rarely | 1153 | Research & Development | 1 | 2 | Medical | 1 | 110 | 1 | Male | 94 | 3 | 2 | Manufacturing Director | 2 | Married | 4325 | 17736 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 5 | 2 | 3 | 5 | 2 | 1 | 3 |
| 56 | No | Travel_Rarely | 1400 | Research & Development | 7 | 3 | Life Sciences | 1 | 112 | 4 | Male | 49 | 1 | 3 | Manufacturing Director | 4 | Single | 7260 | 21698 | 4 | Y | No | 11 | 3 | 1 | 80 | 0 | 37 | 3 | 2 | 6 | 4 | 0 | 2 |
| 23 | No | Travel_Rarely | 541 | Sales | 2 | 1 | Technical Degree | 1 | 113 | 3 | Male | 62 | 3 | 1 | Sales Representative | 1 | Divorced | 2322 | 9518 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| 51 | No | Travel_Rarely | 432 | Research & Development | 9 | 4 | Life Sciences | 1 | 116 | 4 | Male | 96 | 3 | 1 | Laboratory Technician | 4 | Married | 2075 | 18725 | 3 | Y | No | 23 | 4 | 2 | 80 | 2 | 10 | 4 | 3 | 4 | 2 | 0 | 3 |
| 30 | No | Travel_Rarely | 288 | Research & Development | 2 | 3 | Life Sciences | 1 | 117 | 3 | Male | 99 | 2 | 2 | Healthcare Representative | 4 | Married | 4152 | 15830 | 1 | Y | No | 19 | 3 | 1 | 80 | 3 | 11 | 3 | 3 | 11 | 10 | 10 | 8 |
| 46 | Yes | Travel_Rarely | 669 | Sales | 9 | 2 | Medical | 1 | 118 | 3 | Male | 64 | 2 | 3 | Sales Executive | 4 | Single | 9619 | 13596 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
| 40 | No | Travel_Frequently | 530 | Research & Development | 1 | 4 | Life Sciences | 1 | 119 | 3 | Male | 78 | 2 | 4 | Healthcare Representative | 2 | Married | 13503 | 14115 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 22 | 3 | 2 | 22 | 3 | 11 | 11 |
| 51 | No | Travel_Rarely | 632 | Sales | 21 | 4 | Marketing | 1 | 120 | 3 | Male | 71 | 3 | 2 | Sales Executive | 4 | Single | 5441 | 8423 | 0 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 11 | 2 | 1 | 10 | 7 | 1 | 0 |
| 30 | No | Travel_Rarely | 1334 | Sales | 4 | 2 | Medical | 1 | 121 | 3 | Female | 63 | 2 | 2 | Sales Executive | 2 | Divorced | 5209 | 19760 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 3 | 11 | 4 | 2 | 11 | 8 | 2 | 7 |
| 46 | No | Travel_Frequently | 638 | Research & Development | 1 | 3 | Medical | 1 | 124 | 3 | Male | 40 | 2 | 3 | Healthcare Representative | 1 | Married | 10673 | 3142 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 21 | 5 | 2 | 10 | 9 | 9 | 5 |
| 32 | No | Travel_Rarely | 1093 | Sales | 6 | 4 | Medical | 1 | 125 | 2 | Male | 87 | 3 | 2 | Sales Executive | 3 | Single | 5010 | 24301 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 12 | 0 | 3 | 11 | 8 | 5 | 7 |
| 54 | No | Travel_Rarely | 1217 | Research & Development | 2 | 4 | Technical Degree | 1 | 126 | 1 | Female | 60 | 3 | 3 | Research Director | 3 | Married | 13549 | 24001 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 16 | 5 | 1 | 4 | 3 | 0 | 3 |
| 24 | No | Travel_Rarely | 1353 | Sales | 3 | 2 | Other | 1 | 128 | 1 | Female | 33 | 3 | 2 | Sales Executive | 3 | Married | 4999 | 17519 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 4 | 2 | 2 | 3 | 2 | 0 | 2 |
| 28 | No | Non-Travel | 120 | Sales | 4 | 3 | Medical | 1 | 129 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Married | 4221 | 8863 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 5 | 3 | 4 | 5 | 4 | 0 | 4 |
| 58 | No | Travel_Rarely | 682 | Sales | 10 | 4 | Medical | 1 | 131 | 4 | Male | 37 | 3 | 4 | Sales Executive | 3 | Single | 13872 | 24409 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 38 | 1 | 2 | 37 | 10 | 1 | 8 |
| 44 | No | Non-Travel | 489 | Research & Development | 23 | 3 | Medical | 1 | 132 | 2 | Male | 67 | 3 | 2 | Laboratory Technician | 2 | Married | 2042 | 25043 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 3 | 4 | 3 | 2 | 1 | 2 |
| 37 | Yes | Travel_Rarely | 807 | Human Resources | 6 | 4 | Human Resources | 1 | 133 | 3 | Male | 63 | 3 | 1 | Human Resources | 1 | Divorced | 2073 | 23648 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 0 | 2 |
| 32 | No | Travel_Rarely | 827 | Research & Development | 1 | 1 | Life Sciences | 1 | 134 | 4 | Male | 71 | 3 | 1 | Research Scientist | 1 | Single | 2956 | 15178 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 20 | Yes | Travel_Frequently | 871 | Research & Development | 6 | 3 | Life Sciences | 1 | 137 | 4 | Female | 66 | 2 | 1 | Laboratory Technician | 4 | Single | 2926 | 19783 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 0 |
| 34 | No | Travel_Rarely | 665 | Research & Development | 6 | 4 | Other | 1 | 138 | 1 | Female | 41 | 3 | 2 | Research Scientist | 3 | Single | 4809 | 12482 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 16 | 13 | 2 | 10 |
| 37 | No | Non-Travel | 1040 | Research & Development | 2 | 2 | Life Sciences | 1 | 139 | 3 | Male | 100 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5163 | 15850 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 17 | 2 | 4 | 1 | 0 | 0 | 0 |
| 59 | No | Non-Travel | 1420 | Human Resources | 2 | 4 | Human Resources | 1 | 140 | 3 | Female | 32 | 2 | 5 | Manager | 4 | Married | 18844 | 21922 | 9 | Y | No | 21 | 4 | 4 | 80 | 1 | 30 | 3 | 3 | 3 | 2 | 2 | 2 |
| 50 | No | Travel_Frequently | 1115 | Research & Development | 1 | 3 | Life Sciences | 1 | 141 | 1 | Female | 73 | 3 | 5 | Research Director | 2 | Married | 18172 | 9755 | 3 | Y | Yes | 19 | 3 | 1 | 80 | 0 | 28 | 1 | 2 | 8 | 3 | 0 | 7 |
| 25 | Yes | Travel_Rarely | 240 | Sales | 5 | 3 | Marketing | 1 | 142 | 3 | Male | 46 | 2 | 2 | Sales Executive | 3 | Single | 5744 | 26959 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 1 | 3 | 6 | 4 | 0 | 3 |
| 25 | No | Travel_Rarely | 1280 | Research & Development | 7 | 1 | Medical | 1 | 143 | 4 | Male | 64 | 2 | 1 | Research Scientist | 4 | Married | 2889 | 26897 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 |
| 22 | No | Travel_Rarely | 534 | Research & Development | 15 | 3 | Medical | 1 | 144 | 2 | Female | 59 | 3 | 1 | Laboratory Technician | 4 | Single | 2871 | 23785 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
| 51 | No | Travel_Frequently | 1456 | Research & Development | 1 | 4 | Medical | 1 | 145 | 1 | Female | 30 | 2 | 3 | Healthcare Representative | 1 | Single | 7484 | 25796 | 3 | Y | No | 20 | 4 | 3 | 80 | 0 | 23 | 1 | 2 | 13 | 12 | 12 | 8 |
| 34 | Yes | Travel_Frequently | 658 | Research & Development | 7 | 3 | Life Sciences | 1 | 147 | 1 | Male | 66 | 1 | 2 | Laboratory Technician | 3 | Single | 6074 | 22887 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 6 |
| 54 | No | Non-Travel | 142 | Human Resources | 26 | 3 | Human Resources | 1 | 148 | 4 | Female | 30 | 4 | 4 | Manager | 4 | Single | 17328 | 13871 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 23 | 3 | 3 | 5 | 3 | 4 | 4 |
| 24 | No | Travel_Rarely | 1127 | Research & Development | 18 | 1 | Life Sciences | 1 | 150 | 2 | Male | 52 | 3 | 1 | Laboratory Technician | 3 | Married | 2774 | 13257 | 0 | Y | No | 12 | 3 | 3 | 80 | 1 | 6 | 2 | 3 | 5 | 3 | 1 | 2 |
| 34 | No | Travel_Rarely | 1031 | Research & Development | 6 | 4 | Life Sciences | 1 | 151 | 3 | Female | 45 | 2 | 2 | Research Scientist | 2 | Divorced | 4505 | 15000 | 6 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 3 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 1189 | Sales | 3 | 3 | Life Sciences | 1 | 152 | 3 | Male | 87 | 3 | 3 | Sales Executive | 4 | Single | 7428 | 14506 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 3 | 3 | 5 | 3 | 1 | 3 |
| 34 | No | Travel_Rarely | 1354 | Research & Development | 5 | 3 | Medical | 1 | 153 | 3 | Female | 45 | 2 | 3 | Manager | 1 | Single | 11631 | 5615 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 14 | 6 | 3 | 11 | 10 | 5 | 8 |
| 36 | No | Travel_Frequently | 1467 | Sales | 11 | 2 | Technical Degree | 1 | 154 | 2 | Female | 92 | 3 | 3 | Sales Executive | 4 | Married | 9738 | 22952 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 2 | 8 |
| 36 | No | Travel_Rarely | 922 | Research & Development | 3 | 2 | Life Sciences | 1 | 155 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2835 | 2561 | 5 | Y | No | 22 | 4 | 1 | 80 | 1 | 7 | 2 | 3 | 1 | 0 | 0 | 0 |
| 43 | No | Travel_Frequently | 394 | Sales | 26 | 2 | Life Sciences | 1 | 158 | 3 | Male | 92 | 3 | 4 | Manager | 4 | Married | 16959 | 19494 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 25 | 3 | 4 | 25 | 12 | 4 | 12 |
| 30 | No | Travel_Frequently | 1312 | Research & Development | 23 | 3 | Life Sciences | 1 | 159 | 1 | Male | 96 | 1 | 1 | Research Scientist | 3 | Divorced | 2613 | 22310 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 10 | 2 | 2 | 10 | 7 | 0 | 9 |
| 33 | No | Non-Travel | 750 | Sales | 22 | 2 | Marketing | 1 | 160 | 3 | Male | 95 | 3 | 2 | Sales Executive | 2 | Married | 6146 | 15480 | 0 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 4 | 7 | 7 | 0 | 7 |
| 56 | Yes | Travel_Rarely | 441 | Research & Development | 14 | 4 | Life Sciences | 1 | 161 | 2 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 4963 | 4510 | 9 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 7 | 2 | 3 | 5 | 4 | 4 | 3 |
| 51 | No | Travel_Rarely | 684 | Research & Development | 6 | 3 | Life Sciences | 1 | 162 | 1 | Male | 51 | 3 | 5 | Research Director | 3 | Single | 19537 | 6462 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 23 | 5 | 3 | 20 | 18 | 15 | 15 |
| 31 | Yes | Travel_Rarely | 249 | Sales | 6 | 4 | Life Sciences | 1 | 163 | 2 | Male | 76 | 1 | 2 | Sales Executive | 3 | Married | 6172 | 20739 | 4 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 12 | 3 | 2 | 7 | 7 | 7 | 7 |
| 26 | No | Travel_Rarely | 841 | Research & Development | 6 | 3 | Other | 1 | 164 | 3 | Female | 46 | 2 | 1 | Research Scientist | 2 | Married | 2368 | 23300 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 4 | 4 | 3 |
| 58 | Yes | Travel_Rarely | 147 | Research & Development | 23 | 4 | Medical | 1 | 165 | 4 | Female | 94 | 3 | 3 | Healthcare Representative | 4 | Married | 10312 | 3465 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 40 | 3 | 2 | 40 | 10 | 15 | 6 |
| 19 | Yes | Travel_Rarely | 528 | Sales | 22 | 1 | Marketing | 1 | 167 | 4 | Male | 50 | 3 | 1 | Sales Representative | 3 | Single | 1675 | 26820 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 |
| 22 | No | Travel_Rarely | 594 | Research & Development | 2 | 1 | Technical Degree | 1 | 169 | 3 | Male | 100 | 3 | 1 | Laboratory Technician | 4 | Married | 2523 | 19299 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 1 | 2 | 1 |
| 49 | No | Travel_Rarely | 470 | Research & Development | 20 | 4 | Medical | 1 | 170 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 6567 | 5549 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 2 | 2 | 15 | 11 | 5 | 11 |
| 43 | No | Travel_Frequently | 957 | Research & Development | 28 | 3 | Medical | 1 | 171 | 2 | Female | 72 | 4 | 1 | Research Scientist | 3 | Single | 4739 | 16090 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 3 | 2 | 1 | 2 |
| 50 | No | Travel_Frequently | 809 | Sales | 12 | 3 | Marketing | 1 | 174 | 3 | Female | 77 | 3 | 3 | Sales Executive | 4 | Single | 9208 | 6645 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 2 | 2 | 2 | 1 |
| 31 | Yes | Travel_Rarely | 542 | Sales | 20 | 3 | Life Sciences | 1 | 175 | 2 | Female | 71 | 1 | 2 | Sales Executive | 3 | Married | 4559 | 24788 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 41 | No | Travel_Rarely | 802 | Sales | 9 | 1 | Life Sciences | 1 | 176 | 3 | Male | 96 | 3 | 3 | Sales Executive | 3 | Divorced | 8189 | 21196 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 9 | 7 | 0 | 7 |
| 26 | No | Travel_Rarely | 1355 | Human Resources | 25 | 1 | Life Sciences | 1 | 177 | 3 | Female | 61 | 3 | 1 | Human Resources | 3 | Married | 2942 | 8916 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 5 | 7 |
| 36 | No | Travel_Rarely | 216 | Research & Development | 6 | 2 | Medical | 1 | 178 | 2 | Male | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4941 | 2819 | 6 | Y | No | 20 | 4 | 4 | 80 | 2 | 7 | 0 | 3 | 3 | 2 | 0 | 1 |
| 51 | Yes | Travel_Frequently | 1150 | Research & Development | 8 | 4 | Life Sciences | 1 | 179 | 1 | Male | 53 | 1 | 3 | Manufacturing Director | 4 | Single | 10650 | 25150 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 4 | 2 | 0 | 3 |
| 39 | No | Travel_Rarely | 1329 | Sales | 4 | 4 | Life Sciences | 1 | 182 | 4 | Female | 47 | 2 | 2 | Sales Executive | 3 | Married | 5902 | 14590 | 4 | Y | No | 14 | 3 | 3 | 80 | 1 | 17 | 1 | 4 | 15 | 11 | 5 | 9 |
| 25 | No | Travel_Rarely | 959 | Sales | 28 | 3 | Life Sciences | 1 | 183 | 1 | Male | 41 | 2 | 2 | Sales Executive | 3 | Married | 8639 | 24835 | 2 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 30 | No | Travel_Rarely | 1240 | Human Resources | 9 | 3 | Human Resources | 1 | 184 | 3 | Male | 48 | 3 | 2 | Human Resources | 4 | Married | 6347 | 13982 | 0 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 12 | 2 | 1 | 11 | 9 | 4 | 7 |
| 32 | Yes | Travel_Rarely | 1033 | Research & Development | 9 | 3 | Medical | 1 | 190 | 1 | Female | 41 | 3 | 1 | Laboratory Technician | 1 | Single | 4200 | 10224 | 7 | Y | No | 22 | 4 | 1 | 80 | 0 | 10 | 2 | 4 | 5 | 4 | 0 | 4 |
| 45 | No | Travel_Rarely | 1316 | Research & Development | 29 | 3 | Medical | 1 | 192 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Single | 3452 | 9752 | 5 | Y | No | 13 | 3 | 2 | 80 | 0 | 9 | 2 | 2 | 6 | 5 | 0 | 3 |
| 38 | No | Travel_Rarely | 364 | Research & Development | 3 | 5 | Technical Degree | 1 | 193 | 4 | Female | 32 | 3 | 2 | Research Scientist | 3 | Single | 4317 | 2302 | 3 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 19 | 2 | 3 | 3 | 2 | 2 | 2 |
| 30 | No | Travel_Rarely | 438 | Research & Development | 18 | 3 | Life Sciences | 1 | 194 | 1 | Female | 75 | 3 | 1 | Research Scientist | 3 | Single | 2632 | 23910 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 4 | 2 | 5 | 4 | 0 | 4 |
| 32 | No | Travel_Frequently | 689 | Sales | 9 | 2 | Medical | 1 | 195 | 4 | Male | 35 | 1 | 2 | Sales Executive | 4 | Divorced | 4668 | 22812 | 0 | Y | No | 17 | 3 | 4 | 80 | 3 | 9 | 2 | 4 | 8 | 7 | 0 | 7 |
| 30 | No | Travel_Rarely | 201 | Research & Development | 5 | 3 | Technical Degree | 1 | 197 | 4 | Female | 84 | 3 | 1 | Research Scientist | 1 | Divorced | 3204 | 10415 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 8 | 3 | 3 | 3 | 2 | 2 | 2 |
| 30 | No | Travel_Rarely | 1427 | Research & Development | 2 | 1 | Medical | 1 | 198 | 2 | Male | 35 | 2 | 1 | Laboratory Technician | 4 | Single | 2720 | 11162 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 3 | 1 | 2 |
| 41 | No | Travel_Frequently | 857 | Research & Development | 10 | 3 | Life Sciences | 1 | 199 | 4 | Male | 91 | 2 | 4 | Manager | 1 | Divorced | 17181 | 12888 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 21 | 2 | 2 | 7 | 6 | 7 | 7 |
| 41 | No | Travel_Rarely | 933 | Research & Development | 9 | 4 | Life Sciences | 1 | 200 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Married | 2238 | 6961 | 2 | Y | No | 21 | 4 | 4 | 80 | 1 | 7 | 2 | 3 | 5 | 0 | 1 | 4 |
| 19 | No | Travel_Rarely | 1181 | Research & Development | 3 | 1 | Medical | 1 | 201 | 2 | Female | 79 | 3 | 1 | Laboratory Technician | 2 | Single | 1483 | 16102 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 40 | No | Travel_Frequently | 1395 | Research & Development | 26 | 3 | Medical | 1 | 202 | 2 | Female | 54 | 3 | 2 | Research Scientist | 2 | Divorced | 5605 | 8504 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 20 | 2 | 3 | 20 | 7 | 2 | 13 |
| 35 | No | Travel_Rarely | 662 | Sales | 1 | 5 | Marketing | 1 | 204 | 3 | Male | 94 | 3 | 3 | Sales Executive | 2 | Married | 7295 | 11439 | 1 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 8 | 0 | 6 |
| 53 | No | Travel_Rarely | 1436 | Sales | 6 | 2 | Marketing | 1 | 205 | 2 | Male | 34 | 3 | 2 | Sales Representative | 3 | Married | 2306 | 16047 | 2 | Y | Yes | 20 | 4 | 4 | 80 | 1 | 13 | 3 | 1 | 7 | 7 | 4 | 5 |
| 45 | No | Travel_Rarely | 194 | Research & Development | 9 | 3 | Life Sciences | 1 | 206 | 2 | Male | 60 | 3 | 2 | Laboratory Technician | 2 | Divorced | 2348 | 10901 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 20 | 2 | 1 | 17 | 9 | 0 | 15 |
| 32 | No | Travel_Frequently | 967 | Sales | 8 | 3 | Marketing | 1 | 207 | 2 | Female | 43 | 3 | 3 | Sales Executive | 4 | Single | 8998 | 15589 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 2 | 3 | 9 | 8 | 3 | 7 |
| 29 | No | Non-Travel | 1496 | Research & Development | 1 | 1 | Technical Degree | 1 | 208 | 4 | Male | 41 | 3 | 2 | Manufacturing Director | 3 | Married | 4319 | 26283 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
| 51 | No | Travel_Rarely | 1169 | Research & Development | 7 | 4 | Medical | 1 | 211 | 2 | Male | 34 | 2 | 2 | Manufacturing Director | 3 | Married | 6132 | 13983 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 58 | No | Travel_Rarely | 1145 | Research & Development | 9 | 3 | Medical | 1 | 214 | 2 | Female | 75 | 2 | 1 | Research Scientist | 2 | Married | 3346 | 11873 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
| 40 | No | Travel_Rarely | 630 | Sales | 4 | 4 | Marketing | 1 | 215 | 3 | Male | 67 | 2 | 3 | Sales Executive | 4 | Married | 10855 | 8552 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 15 | 2 | 2 | 12 | 11 | 2 | 11 |
| 34 | No | Travel_Frequently | 303 | Sales | 2 | 4 | Marketing | 1 | 216 | 3 | Female | 75 | 3 | 1 | Sales Representative | 3 | Married | 2231 | 11314 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 4 | 3 | 1 | 2 |
| 22 | No | Travel_Rarely | 1256 | Research & Development | 19 | 1 | Medical | 1 | 217 | 3 | Male | 80 | 3 | 1 | Research Scientist | 4 | Married | 2323 | 11992 | 1 | Y | No | 24 | 4 | 1 | 80 | 2 | 2 | 6 | 3 | 2 | 2 | 2 | 2 |
| 27 | No | Non-Travel | 691 | Research & Development | 9 | 3 | Medical | 1 | 218 | 4 | Male | 57 | 3 | 1 | Research Scientist | 2 | Divorced | 2024 | 5970 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 1 | 1 | 2 | 2 | 2 | 2 |
| 28 | No | Travel_Rarely | 440 | Research & Development | 21 | 3 | Medical | 1 | 221 | 3 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2713 | 6672 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 2 |
| 57 | No | Travel_Rarely | 334 | Research & Development | 24 | 2 | Life Sciences | 1 | 223 | 3 | Male | 83 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9439 | 23402 | 3 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 12 | 2 | 1 | 5 | 3 | 1 | 4 |
| 27 | No | Non-Travel | 1450 | Research & Development | 3 | 3 | Medical | 1 | 224 | 3 | Male | 79 | 2 | 1 | Research Scientist | 3 | Divorced | 2566 | 25326 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 1 |
| 50 | No | Travel_Rarely | 1452 | Research & Development | 11 | 3 | Life Sciences | 1 | 226 | 3 | Female | 53 | 3 | 5 | Manager | 2 | Single | 19926 | 17053 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 21 | 5 | 3 | 5 | 4 | 4 | 4 |
| 41 | No | Travel_Rarely | 465 | Research & Development | 14 | 3 | Life Sciences | 1 | 227 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Divorced | 2451 | 4609 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 1 | 8 |
| 30 | No | Travel_Rarely | 1339 | Sales | 5 | 3 | Life Sciences | 1 | 228 | 2 | Female | 41 | 3 | 3 | Sales Executive | 4 | Married | 9419 | 8053 | 2 | Y | No | 12 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 7 | 4 |
| 38 | No | Travel_Rarely | 702 | Sales | 1 | 4 | Life Sciences | 1 | 230 | 1 | Female | 59 | 2 | 2 | Sales Executive | 4 | Single | 8686 | 12930 | 4 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 4 | 8 | 3 | 0 | 7 |
| 32 | No | Travel_Rarely | 120 | Research & Development | 6 | 5 | Life Sciences | 1 | 231 | 3 | Male | 43 | 3 | 1 | Research Scientist | 3 | Single | 3038 | 12430 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 4 |
| 27 | No | Travel_Rarely | 1157 | Research & Development | 17 | 3 | Technical Degree | 1 | 233 | 3 | Male | 51 | 3 | 1 | Research Scientist | 2 | Married | 3058 | 13364 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 3 | 2 | 5 | 2 | 1 | 1 |
| 19 | Yes | Travel_Frequently | 602 | Sales | 1 | 1 | Technical Degree | 1 | 235 | 3 | Female | 100 | 1 | 1 | Sales Representative | 1 | Single | 2325 | 20989 | 0 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 4 | 0 | 0 | 0 | 0 |
| 36 | No | Travel_Frequently | 1480 | Research & Development | 3 | 2 | Medical | 1 | 238 | 4 | Male | 30 | 3 | 1 | Laboratory Technician | 2 | Single | 2088 | 15062 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 13 | 3 | 2 | 8 | 7 | 7 | 2 |
| 30 | No | Non-Travel | 111 | Research & Development | 9 | 3 | Medical | 1 | 239 | 3 | Male | 66 | 3 | 2 | Laboratory Technician | 1 | Divorced | 3072 | 11012 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 12 | 4 | 3 | 12 | 9 | 6 | 10 |
| 45 | No | Travel_Rarely | 1268 | Sales | 4 | 2 | Life Sciences | 1 | 240 | 3 | Female | 30 | 3 | 2 | Sales Executive | 1 | Divorced | 5006 | 6319 | 4 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 9 | 3 | 4 | 5 | 4 | 0 | 3 |
| 56 | No | Travel_Rarely | 713 | Research & Development | 8 | 3 | Life Sciences | 1 | 241 | 3 | Female | 67 | 3 | 1 | Research Scientist | 1 | Divorced | 4257 | 13939 | 4 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 19 | 3 | 3 | 2 | 2 | 2 | 2 |
| 33 | No | Travel_Rarely | 134 | Research & Development | 2 | 3 | Life Sciences | 1 | 242 | 3 | Male | 90 | 3 | 1 | Research Scientist | 4 | Single | 2500 | 10515 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 2 | 4 | 3 | 1 | 0 | 2 |
| 19 | Yes | Travel_Rarely | 303 | Research & Development | 2 | 3 | Life Sciences | 1 | 243 | 2 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Single | 1102 | 9241 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 46 | No | Travel_Rarely | 526 | Sales | 1 | 2 | Marketing | 1 | 244 | 2 | Female | 92 | 3 | 3 | Sales Executive | 1 | Divorced | 10453 | 2137 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 24 | 2 | 3 | 24 | 13 | 15 | 7 |
| 38 | No | Travel_Rarely | 1380 | Research & Development | 9 | 2 | Life Sciences | 1 | 245 | 3 | Female | 75 | 3 | 1 | Laboratory Technician | 4 | Single | 2288 | 6319 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 1 |
| 31 | No | Travel_Rarely | 140 | Research & Development | 12 | 1 | Medical | 1 | 246 | 3 | Female | 95 | 3 | 1 | Research Scientist | 4 | Married | 3929 | 6984 | 8 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 7 | 0 | 3 | 4 | 2 | 0 | 2 |
| 34 | No | Travel_Rarely | 629 | Research & Development | 27 | 2 | Medical | 1 | 247 | 4 | Female | 95 | 3 | 1 | Research Scientist | 2 | Single | 2311 | 5711 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 1 | 2 |
| 41 | Yes | Travel_Rarely | 1356 | Sales | 20 | 2 | Marketing | 1 | 248 | 2 | Female | 70 | 3 | 1 | Sales Representative | 2 | Single | 3140 | 21728 | 1 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 4 | 5 | 2 | 4 | 3 | 0 | 2 |
| 50 | No | Travel_Rarely | 328 | Research & Development | 1 | 3 | Medical | 1 | 249 | 3 | Male | 86 | 2 | 1 | Laboratory Technician | 3 | Married | 3690 | 3425 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 0 | 2 |
| 53 | No | Travel_Rarely | 1084 | Research & Development | 13 | 2 | Medical | 1 | 250 | 4 | Female | 57 | 4 | 2 | Manufacturing Director | 1 | Divorced | 4450 | 26250 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 3 |
| 33 | No | Travel_Rarely | 931 | Research & Development | 14 | 3 | Medical | 1 | 252 | 4 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 2756 | 4673 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 5 | 3 | 8 | 7 | 1 | 6 |
| 40 | No | Travel_Rarely | 989 | Research & Development | 4 | 1 | Medical | 1 | 253 | 4 | Female | 46 | 3 | 5 | Manager | 3 | Married | 19033 | 6499 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 20 | 8 | 9 | 9 |
| 55 | No | Travel_Rarely | 692 | Research & Development | 14 | 4 | Medical | 1 | 254 | 3 | Male | 61 | 4 | 5 | Research Director | 2 | Single | 18722 | 13339 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 36 | 3 | 3 | 24 | 15 | 2 | 15 |
| 34 | No | Travel_Frequently | 1069 | Research & Development | 2 | 1 | Life Sciences | 1 | 256 | 4 | Male | 45 | 2 | 2 | Manufacturing Director | 3 | Married | 9547 | 14074 | 1 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 1 | 9 |
| 51 | No | Travel_Rarely | 313 | Research & Development | 3 | 3 | Medical | 1 | 258 | 4 | Female | 98 | 3 | 4 | Healthcare Representative | 2 | Single | 13734 | 7192 | 3 | Y | No | 18 | 3 | 3 | 80 | 0 | 21 | 6 | 3 | 7 | 7 | 1 | 0 |
| 52 | No | Travel_Rarely | 699 | Research & Development | 1 | 4 | Life Sciences | 1 | 259 | 3 | Male | 65 | 2 | 5 | Manager | 3 | Married | 19999 | 5678 | 0 | Y | No | 14 | 3 | 1 | 80 | 1 | 34 | 5 | 3 | 33 | 18 | 11 | 9 |
| 27 | No | Travel_Rarely | 894 | Research & Development | 9 | 3 | Medical | 1 | 260 | 4 | Female | 99 | 3 | 1 | Research Scientist | 2 | Single | 2279 | 11781 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 7 | 7 | 0 | 3 |
| 35 | Yes | Travel_Rarely | 556 | Research & Development | 23 | 2 | Life Sciences | 1 | 261 | 2 | Male | 50 | 2 | 2 | Manufacturing Director | 3 | Married | 5916 | 15497 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 1 |
| 43 | No | Non-Travel | 1344 | Research & Development | 7 | 3 | Medical | 1 | 262 | 4 | Male | 37 | 4 | 1 | Research Scientist | 4 | Divorced | 2089 | 5228 | 4 | Y | No | 14 | 3 | 4 | 80 | 3 | 7 | 3 | 4 | 5 | 4 | 2 | 2 |
| 45 | No | Non-Travel | 1195 | Research & Development | 2 | 2 | Medical | 1 | 264 | 1 | Male | 65 | 2 | 4 | Manager | 4 | Married | 16792 | 20462 | 9 | Y | No | 23 | 4 | 4 | 80 | 1 | 22 | 1 | 3 | 20 | 8 | 11 | 8 |
| 37 | No | Travel_Rarely | 290 | Research & Development | 21 | 3 | Life Sciences | 1 | 267 | 2 | Male | 65 | 4 | 1 | Research Scientist | 1 | Married | 3564 | 22977 | 1 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 8 | 3 | 2 | 8 | 7 | 1 | 7 |
| 35 | No | Travel_Frequently | 138 | Research & Development | 2 | 3 | Medical | 1 | 269 | 2 | Female | 37 | 3 | 2 | Laboratory Technician | 2 | Single | 4425 | 15986 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 5 | 3 | 6 | 2 | 1 | 2 |
| 42 | No | Non-Travel | 926 | Research & Development | 21 | 2 | Medical | 1 | 270 | 3 | Female | 36 | 3 | 2 | Manufacturing Director | 3 | Divorced | 5265 | 16439 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 11 | 5 | 3 | 5 | 3 | 0 | 2 |
| 38 | No | Travel_Rarely | 1261 | Research & Development | 2 | 4 | Life Sciences | 1 | 271 | 4 | Male | 88 | 3 | 2 | Manufacturing Director | 3 | Married | 6553 | 7259 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 14 | 3 | 3 | 1 | 0 | 0 | 0 |
| 38 | No | Travel_Rarely | 1084 | Research & Development | 29 | 3 | Technical Degree | 1 | 273 | 4 | Male | 54 | 3 | 2 | Manufacturing Director | 4 | Married | 6261 | 4185 | 3 | Y | No | 18 | 3 | 1 | 80 | 1 | 9 | 3 | 1 | 7 | 7 | 1 | 7 |
| 27 | No | Travel_Frequently | 472 | Research & Development | 1 | 1 | Technical Degree | 1 | 274 | 3 | Male | 60 | 2 | 2 | Manufacturing Director | 1 | Married | 4298 | 9679 | 5 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 1 | 3 | 2 | 2 | 2 | 0 |
| 49 | No | Non-Travel | 1002 | Research & Development | 18 | 4 | Life Sciences | 1 | 275 | 4 | Male | 92 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6804 | 23793 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 7 | 0 | 3 | 7 | 7 | 1 | 7 |
| 34 | No | Travel_Frequently | 878 | Research & Development | 10 | 4 | Medical | 1 | 277 | 4 | Male | 43 | 3 | 1 | Research Scientist | 3 | Divorced | 3815 | 5972 | 1 | Y | Yes | 17 | 3 | 4 | 80 | 1 | 5 | 4 | 4 | 5 | 3 | 2 | 0 |
| 40 | No | Travel_Rarely | 905 | Research & Development | 19 | 2 | Medical | 1 | 281 | 3 | Male | 99 | 3 | 2 | Laboratory Technician | 4 | Married | 2741 | 16523 | 8 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 15 | 2 | 4 | 7 | 2 | 3 | 7 |
| 38 | Yes | Travel_Rarely | 1180 | Research & Development | 29 | 1 | Medical | 1 | 282 | 2 | Male | 70 | 3 | 2 | Healthcare Representative | 1 | Married | 6673 | 11354 | 7 | Y | Yes | 19 | 3 | 2 | 80 | 0 | 17 | 2 | 3 | 1 | 0 | 0 | 0 |
| 29 | Yes | Travel_Rarely | 121 | Sales | 27 | 3 | Marketing | 1 | 283 | 2 | Female | 35 | 3 | 3 | Sales Executive | 4 | Married | 7639 | 24525 | 1 | Y | No | 22 | 4 | 4 | 80 | 3 | 10 | 3 | 2 | 10 | 4 | 1 | 9 |
| 22 | No | Travel_Rarely | 1136 | Research & Development | 5 | 3 | Life Sciences | 1 | 284 | 4 | Male | 60 | 4 | 1 | Research Scientist | 2 | Divorced | 2328 | 12392 | 1 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 4 | 2 | 2 | 4 | 2 | 2 | 2 |
| 36 | No | Travel_Frequently | 635 | Research & Development | 18 | 1 | Medical | 1 | 286 | 2 | Female | 73 | 3 | 1 | Laboratory Technician | 4 | Single | 2153 | 7703 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 1 | 1 | 7 |
| 40 | No | Non-Travel | 1151 | Research & Development | 9 | 5 | Life Sciences | 1 | 287 | 4 | Male | 63 | 2 | 2 | Healthcare Representative | 4 | Married | 4876 | 14242 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 5 | 1 | 3 | 2 | 0 | 2 |
| 46 | No | Travel_Rarely | 644 | Research & Development | 1 | 4 | Medical | 1 | 288 | 4 | Male | 97 | 3 | 3 | Healthcare Representative | 1 | Divorced | 9396 | 12368 | 7 | Y | No | 16 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 4 | 2 | 0 | 3 |
| 32 | Yes | Travel_Rarely | 1045 | Sales | 4 | 4 | Medical | 1 | 291 | 4 | Male | 32 | 1 | 3 | Sales Executive | 4 | Married | 10400 | 25812 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 14 | 2 | 2 | 14 | 8 | 9 | 8 |
| 30 | No | Non-Travel | 829 | Research & Development | 1 | 1 | Life Sciences | 1 | 292 | 3 | Male | 88 | 2 | 3 | Manufacturing Director | 3 | Single | 8474 | 20925 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 3 | 11 | 8 | 5 | 8 |
| 27 | No | Travel_Frequently | 1242 | Sales | 20 | 3 | Life Sciences | 1 | 293 | 4 | Female | 90 | 3 | 2 | Sales Executive | 3 | Single | 9981 | 12916 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 51 | No | Travel_Rarely | 1469 | Research & Development | 8 | 4 | Life Sciences | 1 | 296 | 2 | Male | 81 | 2 | 3 | Research Director | 2 | Married | 12490 | 15736 | 5 | Y | No | 16 | 3 | 4 | 80 | 2 | 16 | 5 | 1 | 10 | 9 | 4 | 7 |
| 30 | Yes | Travel_Rarely | 1005 | Research & Development | 3 | 3 | Technical Degree | 1 | 297 | 4 | Female | 88 | 3 | 1 | Research Scientist | 1 | Single | 2657 | 8556 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 5 | 2 | 0 | 4 |
| 41 | No | Travel_Rarely | 896 | Sales | 6 | 3 | Life Sciences | 1 | 298 | 4 | Female | 75 | 3 | 3 | Manager | 4 | Single | 13591 | 14674 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
| 30 | Yes | Travel_Frequently | 334 | Sales | 26 | 4 | Marketing | 1 | 299 | 3 | Female | 52 | 2 | 2 | Sales Executive | 1 | Single | 6696 | 22967 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 5 | 2 | 6 | 3 | 0 | 1 |
| 29 | Yes | Travel_Rarely | 992 | Research & Development | 1 | 3 | Technical Degree | 1 | 300 | 3 | Male | 85 | 3 | 1 | Research Scientist | 3 | Single | 2058 | 19757 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 1 | 5 |
| 45 | No | Non-Travel | 1052 | Sales | 6 | 3 | Medical | 1 | 302 | 4 | Female | 57 | 2 | 3 | Sales Executive | 4 | Single | 8865 | 16840 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 19 | 7 | 12 | 8 |
| 54 | No | Travel_Rarely | 1147 | Sales | 3 | 3 | Marketing | 1 | 303 | 4 | Female | 52 | 3 | 2 | Sales Executive | 1 | Married | 5940 | 17011 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 16 | 4 | 3 | 6 | 2 | 0 | 5 |
| 36 | No | Travel_Rarely | 1396 | Research & Development | 5 | 2 | Life Sciences | 1 | 304 | 4 | Male | 62 | 3 | 2 | Laboratory Technician | 2 | Single | 5914 | 9945 | 8 | Y | No | 16 | 3 | 4 | 80 | 0 | 16 | 3 | 4 | 13 | 11 | 3 | 7 |
| 33 | No | Travel_Rarely | 147 | Research & Development | 4 | 4 | Medical | 1 | 305 | 3 | Female | 47 | 2 | 1 | Research Scientist | 2 | Married | 2622 | 13248 | 6 | Y | No | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 1 | 1 |
| 37 | No | Travel_Frequently | 663 | Research & Development | 11 | 3 | Other | 1 | 306 | 2 | Male | 47 | 3 | 3 | Research Director | 4 | Divorced | 12185 | 10056 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 10 | 1 | 3 | 10 | 8 | 0 | 7 |
| 38 | No | Travel_Rarely | 119 | Sales | 3 | 3 | Life Sciences | 1 | 307 | 1 | Male | 76 | 3 | 3 | Sales Executive | 3 | Divorced | 10609 | 9647 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 17 | 6 | 2 | 16 | 10 | 5 | 13 |
| 31 | No | Non-Travel | 979 | Research & Development | 1 | 4 | Medical | 1 | 308 | 3 | Male | 90 | 1 | 2 | Manufacturing Director | 3 | Married | 4345 | 4381 | 0 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 3 | 5 | 4 | 1 | 4 |
| 59 | No | Travel_Rarely | 142 | Research & Development | 3 | 3 | Life Sciences | 1 | 309 | 3 | Male | 70 | 2 | 1 | Research Scientist | 4 | Married | 2177 | 8456 | 3 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Frequently | 319 | Sales | 4 | 4 | Marketing | 1 | 311 | 1 | Male | 41 | 3 | 1 | Sales Representative | 4 | Divorced | 2793 | 2539 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 5 | 8 |
| 29 | No | Travel_Frequently | 1413 | Sales | 1 | 1 | Medical | 1 | 312 | 2 | Female | 42 | 3 | 3 | Sales Executive | 4 | Married | 7918 | 6599 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 11 | 5 | 3 | 11 | 10 | 4 | 1 |
| 35 | No | Travel_Frequently | 944 | Sales | 1 | 3 | Marketing | 1 | 314 | 3 | Female | 92 | 3 | 3 | Sales Executive | 3 | Single | 8789 | 9096 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 4 | 10 | 7 | 0 | 8 |
| 29 | Yes | Travel_Rarely | 896 | Research & Development | 18 | 1 | Medical | 1 | 315 | 3 | Male | 86 | 2 | 1 | Research Scientist | 4 | Single | 2389 | 14961 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 4 | 3 | 2 | 4 | 3 | 0 | 1 |
| 52 | No | Travel_Rarely | 1323 | Research & Development | 2 | 3 | Life Sciences | 1 | 316 | 3 | Female | 89 | 2 | 1 | Laboratory Technician | 4 | Single | 3212 | 3300 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 2 | 2 | 2 | 2 |
| 42 | No | Travel_Rarely | 532 | Research & Development | 4 | 2 | Technical Degree | 1 | 319 | 3 | Male | 58 | 3 | 5 | Manager | 4 | Married | 19232 | 4933 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 22 | 3 | 3 | 22 | 17 | 11 | 15 |
| 59 | No | Travel_Rarely | 818 | Human Resources | 6 | 2 | Medical | 1 | 321 | 2 | Male | 52 | 3 | 1 | Human Resources | 3 | Married | 2267 | 25657 | 8 | Y | No | 17 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
| 50 | No | Travel_Rarely | 854 | Sales | 1 | 4 | Medical | 1 | 323 | 4 | Female | 68 | 3 | 5 | Manager | 4 | Divorced | 19517 | 24118 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 7 | 0 | 0 | 6 |
| 33 | Yes | Travel_Rarely | 813 | Research & Development | 14 | 3 | Medical | 1 | 325 | 3 | Male | 58 | 3 | 1 | Laboratory Technician | 4 | Married | 2436 | 22149 | 5 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 8 | 2 | 1 | 5 | 4 | 0 | 4 |
| 43 | No | Travel_Rarely | 1034 | Sales | 16 | 3 | Marketing | 1 | 327 | 4 | Female | 80 | 3 | 4 | Manager | 4 | Married | 16064 | 7744 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 17 | 13 | 1 | 9 |
| 33 | Yes | Travel_Rarely | 465 | Research & Development | 2 | 2 | Life Sciences | 1 | 328 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 1 | Married | 2707 | 21509 | 7 | Y | No | 20 | 4 | 1 | 80 | 0 | 13 | 3 | 4 | 9 | 7 | 1 | 7 |
| 52 | No | Non-Travel | 771 | Sales | 2 | 4 | Life Sciences | 1 | 329 | 1 | Male | 79 | 2 | 5 | Manager | 3 | Single | 19068 | 21030 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 33 | 2 | 4 | 33 | 7 | 15 | 12 |
| 32 | No | Travel_Rarely | 1401 | Sales | 4 | 2 | Life Sciences | 1 | 330 | 3 | Female | 56 | 3 | 1 | Sales Representative | 2 | Married | 3931 | 20990 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 6 | 5 | 3 | 4 | 3 | 1 | 2 |
| 32 | Yes | Travel_Rarely | 515 | Research & Development | 1 | 3 | Life Sciences | 1 | 331 | 4 | Male | 62 | 2 | 1 | Laboratory Technician | 3 | Single | 3730 | 9571 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 2 | 1 | 3 | 2 | 1 | 2 |
| 39 | No | Travel_Rarely | 1431 | Research & Development | 1 | 4 | Medical | 1 | 332 | 3 | Female | 96 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2232 | 15417 | 7 | Y | No | 14 | 3 | 3 | 80 | 3 | 7 | 1 | 3 | 3 | 2 | 1 | 2 |
| 32 | No | Non-Travel | 976 | Sales | 26 | 4 | Marketing | 1 | 333 | 3 | Male | 100 | 3 | 2 | Sales Executive | 4 | Married | 4465 | 12069 | 0 | Y | No | 18 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 41 | No | Travel_Rarely | 1411 | Research & Development | 19 | 2 | Life Sciences | 1 | 334 | 3 | Male | 36 | 3 | 2 | Research Scientist | 1 | Divorced | 3072 | 19877 | 2 | Y | No | 16 | 3 | 1 | 80 | 2 | 17 | 2 | 2 | 1 | 0 | 0 | 0 |
| 40 | No | Travel_Rarely | 1300 | Research & Development | 24 | 2 | Technical Degree | 1 | 335 | 1 | Male | 62 | 3 | 2 | Research Scientist | 4 | Divorced | 3319 | 24447 | 1 | Y | No | 17 | 3 | 1 | 80 | 2 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
| 45 | No | Travel_Rarely | 252 | Research & Development | 1 | 3 | Other | 1 | 336 | 3 | Male | 70 | 4 | 5 | Manager | 4 | Married | 19202 | 15970 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 24 | 0 | 1 | 7 |
| 31 | No | Travel_Frequently | 1327 | Research & Development | 3 | 4 | Medical | 1 | 337 | 2 | Male | 73 | 3 | 3 | Research Director | 3 | Divorced | 13675 | 13523 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 2 | 2 | 2 | 2 |
| 33 | No | Travel_Rarely | 832 | Research & Development | 5 | 4 | Life Sciences | 1 | 338 | 3 | Female | 63 | 2 | 1 | Research Scientist | 4 | Married | 2911 | 14776 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 2 | 2 | 2 | 2 | 2 | 0 | 2 |
| 34 | No | Travel_Rarely | 470 | Research & Development | 2 | 4 | Life Sciences | 1 | 339 | 4 | Male | 84 | 2 | 2 | Manufacturing Director | 1 | Married | 5957 | 23687 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 11 | 9 | 5 | 9 |
| 37 | No | Travel_Rarely | 1017 | Research & Development | 1 | 2 | Medical | 1 | 340 | 3 | Female | 83 | 2 | 1 | Research Scientist | 1 | Married | 3920 | 18697 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 3 | 1 | 0 | 2 |
| 45 | No | Travel_Frequently | 1199 | Research & Development | 7 | 4 | Life Sciences | 1 | 341 | 1 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Married | 6434 | 5118 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 9 | 1 | 3 | 3 | 2 | 0 | 2 |
| 37 | Yes | Travel_Frequently | 504 | Research & Development | 10 | 3 | Medical | 1 | 342 | 1 | Male | 61 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10048 | 22573 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 17 | 5 | 3 | 1 | 0 | 0 | 0 |
| 39 | No | Travel_Frequently | 505 | Research & Development | 2 | 4 | Technical Degree | 1 | 343 | 3 | Female | 64 | 3 | 3 | Healthcare Representative | 3 | Single | 10938 | 6420 | 0 | Y | No | 25 | 4 | 4 | 80 | 0 | 20 | 1 | 3 | 19 | 6 | 11 | 8 |
| 29 | No | Travel_Rarely | 665 | Research & Development | 15 | 3 | Life Sciences | 1 | 346 | 3 | Male | 60 | 3 | 1 | Research Scientist | 4 | Single | 2340 | 22673 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 6 | 1 | 3 | 6 | 5 | 1 | 5 |
| 42 | No | Travel_Rarely | 916 | Research & Development | 17 | 2 | Life Sciences | 1 | 347 | 4 | Female | 82 | 4 | 2 | Research Scientist | 1 | Single | 6545 | 23016 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 1 | 3 | 3 | 2 | 0 | 2 |
| 29 | No | Travel_Rarely | 1247 | Sales | 20 | 2 | Marketing | 1 | 349 | 4 | Male | 45 | 3 | 2 | Sales Executive | 4 | Divorced | 6931 | 10732 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 2 |
| 25 | No | Travel_Rarely | 685 | Research & Development | 1 | 3 | Life Sciences | 1 | 350 | 1 | Female | 62 | 3 | 2 | Manufacturing Director | 3 | Married | 4898 | 7505 | 0 | Y | No | 12 | 3 | 4 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 2 |
| 42 | No | Travel_Rarely | 269 | Research & Development | 2 | 3 | Medical | 1 | 351 | 4 | Female | 56 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2593 | 8007 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 10 | 4 | 3 | 9 | 6 | 7 | 8 |
| 40 | No | Travel_Rarely | 1416 | Research & Development | 2 | 2 | Medical | 1 | 352 | 1 | Male | 49 | 3 | 5 | Research Director | 3 | Divorced | 19436 | 5949 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 22 | 5 | 3 | 21 | 7 | 3 | 9 |
| 51 | No | Travel_Rarely | 833 | Research & Development | 1 | 3 | Life Sciences | 1 | 353 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Married | 2723 | 23231 | 1 | Y | No | 11 | 3 | 2 | 80 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 |
| 31 | Yes | Travel_Frequently | 307 | Research & Development | 29 | 2 | Medical | 1 | 355 | 3 | Male | 71 | 2 | 1 | Laboratory Technician | 2 | Single | 3479 | 11652 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
| 32 | No | Travel_Frequently | 1311 | Research & Development | 7 | 3 | Life Sciences | 1 | 359 | 2 | Male | 100 | 4 | 1 | Laboratory Technician | 2 | Married | 2794 | 26062 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 1 | 5 | 1 | 0 | 3 |
| 38 | No | Non-Travel | 1327 | Sales | 2 | 2 | Life Sciences | 1 | 361 | 4 | Male | 39 | 2 | 2 | Sales Executive | 4 | Married | 5249 | 19682 | 3 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 0 | 3 | 8 | 7 | 7 | 5 |
| 32 | No | Travel_Rarely | 128 | Research & Development | 2 | 1 | Technical Degree | 1 | 362 | 4 | Male | 84 | 2 | 2 | Laboratory Technician | 1 | Single | 2176 | 19737 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 3 | 6 | 2 | 0 | 4 |
| 46 | No | Travel_Rarely | 488 | Sales | 2 | 3 | Technical Degree | 1 | 363 | 3 | Female | 75 | 1 | 4 | Manager | 2 | Married | 16872 | 14977 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 28 | 2 | 2 | 7 | 7 | 7 | 7 |
| 28 | Yes | Travel_Rarely | 529 | Research & Development | 2 | 4 | Life Sciences | 1 | 364 | 1 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 3485 | 14935 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0 |
| 29 | No | Travel_Rarely | 1210 | Sales | 2 | 3 | Medical | 1 | 366 | 1 | Male | 78 | 2 | 2 | Sales Executive | 2 | Married | 6644 | 3687 | 2 | Y | No | 19 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
| 31 | No | Travel_Rarely | 1463 | Research & Development | 23 | 3 | Medical | 1 | 367 | 2 | Male | 64 | 2 | 2 | Healthcare Representative | 4 | Married | 5582 | 14408 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 10 | 2 | 3 | 9 | 0 | 7 | 8 |
| 25 | No | Non-Travel | 675 | Research & Development | 5 | 2 | Life Sciences | 1 | 369 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 1 | Divorced | 4000 | 18384 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 2 | 3 | 6 | 3 | 1 | 5 |
| 45 | No | Travel_Rarely | 1385 | Research & Development | 20 | 2 | Medical | 1 | 372 | 3 | Male | 79 | 3 | 4 | Healthcare Representative | 4 | Married | 13496 | 7501 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 21 | 2 | 3 | 20 | 7 | 4 | 10 |
| 36 | No | Travel_Rarely | 1403 | Research & Development | 6 | 3 | Life Sciences | 1 | 373 | 4 | Male | 47 | 3 | 1 | Laboratory Technician | 4 | Married | 3210 | 20251 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 4 | 3 | 15 | 13 | 10 | 11 |
| 55 | No | Travel_Rarely | 452 | Research & Development | 1 | 3 | Medical | 1 | 374 | 4 | Male | 81 | 3 | 5 | Manager | 1 | Single | 19045 | 18938 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 37 | 2 | 3 | 36 | 10 | 4 | 13 |
| 47 | Yes | Non-Travel | 666 | Research & Development | 29 | 4 | Life Sciences | 1 | 376 | 1 | Male | 88 | 3 | 3 | Manager | 2 | Married | 11849 | 10268 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 9 | 9 |
| 28 | No | Travel_Rarely | 1158 | Research & Development | 9 | 3 | Medical | 1 | 377 | 4 | Male | 94 | 3 | 1 | Research Scientist | 4 | Married | 2070 | 2613 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 5 | 3 | 2 | 5 | 2 | 0 | 4 |
| 37 | No | Travel_Rarely | 228 | Sales | 6 | 4 | Medical | 1 | 378 | 3 | Male | 98 | 3 | 2 | Sales Executive | 4 | Married | 6502 | 22825 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 7 | 5 | 4 | 5 | 4 | 0 | 1 |
| 21 | No | Travel_Rarely | 996 | Research & Development | 3 | 2 | Medical | 1 | 379 | 4 | Male | 100 | 2 | 1 | Research Scientist | 3 | Single | 3230 | 10531 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 3 | 4 | 4 | 3 | 2 | 1 | 0 |
| 37 | No | Non-Travel | 728 | Research & Development | 1 | 4 | Medical | 1 | 380 | 1 | Female | 80 | 3 | 3 | Research Director | 4 | Divorced | 13603 | 11677 | 2 | Y | Yes | 18 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 5 | 2 | 0 | 2 |
| 35 | No | Travel_Rarely | 1315 | Research & Development | 22 | 3 | Life Sciences | 1 | 381 | 2 | Female | 71 | 4 | 3 | Manager | 2 | Divorced | 11996 | 19100 | 7 | Y | No | 18 | 3 | 2 | 80 | 1 | 10 | 6 | 2 | 7 | 7 | 6 | 2 |
| 38 | No | Travel_Rarely | 322 | Sales | 7 | 2 | Medical | 1 | 382 | 1 | Female | 44 | 4 | 2 | Sales Executive | 1 | Divorced | 5605 | 19191 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 8 | 3 | 3 | 8 | 0 | 7 | 7 |
| 26 | No | Travel_Frequently | 1479 | Research & Development | 1 | 3 | Life Sciences | 1 | 384 | 3 | Female | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 6397 | 26767 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 6 | 6 | 1 | 6 | 5 | 1 | 4 |
| 50 | No | Travel_Rarely | 797 | Research & Development | 4 | 1 | Life Sciences | 1 | 385 | 1 | Male | 96 | 3 | 5 | Research Director | 2 | Divorced | 19144 | 15815 | 3 | Y | No | 14 | 3 | 1 | 80 | 2 | 28 | 4 | 2 | 10 | 4 | 1 | 6 |
| 53 | No | Travel_Rarely | 1070 | Research & Development | 3 | 4 | Medical | 1 | 386 | 3 | Male | 45 | 3 | 4 | Research Director | 3 | Married | 17584 | 21016 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 3 | 21 | 5 | 2 | 5 | 3 | 1 | 3 |
| 42 | No | Travel_Rarely | 635 | Sales | 1 | 1 | Life Sciences | 1 | 387 | 2 | Male | 99 | 3 | 2 | Sales Executive | 3 | Married | 4907 | 24532 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 20 | 3 | 3 | 20 | 16 | 11 | 6 |
| 29 | No | Travel_Frequently | 442 | Sales | 2 | 2 | Life Sciences | 1 | 388 | 2 | Male | 44 | 3 | 2 | Sales Executive | 4 | Single | 4554 | 20260 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 7 | 0 | 9 |
| 55 | No | Travel_Rarely | 147 | Research & Development | 20 | 2 | Technical Degree | 1 | 389 | 2 | Male | 37 | 3 | 2 | Laboratory Technician | 4 | Married | 5415 | 15972 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 12 | 4 | 3 | 10 | 7 | 0 | 8 |
| 26 | No | Travel_Frequently | 496 | Research & Development | 11 | 2 | Medical | 1 | 390 | 1 | Male | 60 | 3 | 2 | Healthcare Representative | 1 | Married | 4741 | 22722 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 5 | 3 | 3 | 3 |
| 37 | No | Travel_Rarely | 1372 | Research & Development | 1 | 3 | Life Sciences | 1 | 391 | 4 | Female | 42 | 3 | 1 | Research Scientist | 4 | Single | 2115 | 15881 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 12 | 5 | 7 |
| 44 | Yes | Travel_Frequently | 920 | Research & Development | 24 | 3 | Life Sciences | 1 | 392 | 4 | Male | 43 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3161 | 19920 | 3 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 19 | 0 | 1 | 1 | 0 | 0 | 0 |
| 38 | No | Travel_Rarely | 688 | Research & Development | 23 | 4 | Life Sciences | 1 | 393 | 4 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 5745 | 18899 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 2 | 2 | 1 | 2 |
| 26 | Yes | Travel_Rarely | 1449 | Research & Development | 16 | 4 | Medical | 1 | 394 | 1 | Male | 45 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2373 | 14180 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 3 | 2 | 0 | 2 |
| 28 | No | Travel_Rarely | 1117 | Research & Development | 8 | 2 | Life Sciences | 1 | 395 | 4 | Female | 66 | 3 | 1 | Research Scientist | 4 | Single | 3310 | 4488 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 2 |
| 49 | No | Travel_Frequently | 636 | Research & Development | 10 | 4 | Life Sciences | 1 | 396 | 3 | Female | 35 | 3 | 5 | Research Director | 1 | Single | 18665 | 25594 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 22 | 4 | 3 | 3 | 2 | 1 | 2 |
| 36 | No | Travel_Rarely | 506 | Research & Development | 3 | 3 | Technical Degree | 1 | 397 | 3 | Male | 30 | 3 | 2 | Research Scientist | 2 | Single | 4485 | 26285 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 0 | 7 | 7 |
| 31 | No | Travel_Frequently | 444 | Sales | 5 | 3 | Marketing | 1 | 399 | 4 | Female | 84 | 3 | 1 | Sales Representative | 2 | Divorced | 2789 | 3909 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
| 26 | Yes | Travel_Rarely | 950 | Sales | 4 | 4 | Marketing | 1 | 401 | 4 | Male | 48 | 2 | 2 | Sales Executive | 4 | Single | 5828 | 8450 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 4 |
| 37 | No | Travel_Frequently | 889 | Research & Development | 9 | 3 | Medical | 1 | 403 | 2 | Male | 53 | 3 | 1 | Research Scientist | 4 | Married | 2326 | 11411 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 4 | 3 | 2 | 4 | 2 | 1 | 2 |
| 42 | No | Travel_Frequently | 555 | Sales | 26 | 3 | Marketing | 1 | 404 | 3 | Female | 77 | 3 | 4 | Sales Executive | 2 | Married | 13525 | 14864 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 20 | 4 | 4 | 8 |
| 18 | Yes | Travel_Rarely | 230 | Research & Development | 3 | 3 | Life Sciences | 1 | 405 | 3 | Male | 54 | 3 | 1 | Laboratory Technician | 3 | Single | 1420 | 25233 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 35 | No | Travel_Rarely | 1232 | Sales | 16 | 3 | Marketing | 1 | 406 | 3 | Male | 96 | 3 | 3 | Sales Executive | 2 | Married | 8020 | 5100 | 0 | Y | No | 15 | 3 | 3 | 80 | 2 | 12 | 3 | 2 | 11 | 9 | 6 | 9 |
| 36 | No | Travel_Frequently | 566 | Research & Development | 18 | 4 | Life Sciences | 1 | 407 | 3 | Male | 81 | 4 | 1 | Laboratory Technician | 4 | Married | 3688 | 7122 | 4 | Y | No | 18 | 3 | 4 | 80 | 2 | 4 | 2 | 3 | 1 | 0 | 0 | 0 |
| 51 | No | Travel_Rarely | 1302 | Research & Development | 2 | 3 | Medical | 1 | 408 | 4 | Male | 84 | 1 | 2 | Manufacturing Director | 2 | Divorced | 5482 | 16321 | 5 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 3 | 3 | 4 | 1 | 1 | 2 |
| 41 | No | Travel_Rarely | 334 | Sales | 2 | 4 | Life Sciences | 1 | 410 | 4 | Male | 88 | 3 | 4 | Manager | 2 | Single | 16015 | 15896 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 22 | 2 | 3 | 22 | 10 | 0 | 4 |
| 18 | No | Travel_Rarely | 812 | Sales | 10 | 3 | Medical | 1 | 411 | 4 | Female | 69 | 2 | 1 | Sales Representative | 3 | Single | 1200 | 9724 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 28 | No | Travel_Rarely | 1476 | Research & Development | 16 | 2 | Medical | 1 | 412 | 2 | Male | 68 | 4 | 2 | Healthcare Representative | 1 | Single | 5661 | 4824 | 0 | Y | No | 19 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 8 | 3 | 0 | 7 |
| 31 | No | Travel_Rarely | 218 | Sales | 7 | 3 | Technical Degree | 1 | 416 | 2 | Male | 100 | 4 | 2 | Sales Executive | 4 | Married | 6929 | 12241 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 8 | 7 | 7 | 7 |
| 39 | No | Travel_Rarely | 1132 | Research & Development | 1 | 3 | Medical | 1 | 417 | 3 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9613 | 10942 | 0 | Y | No | 17 | 3 | 1 | 80 | 3 | 19 | 5 | 2 | 18 | 10 | 3 | 7 |
| 36 | No | Non-Travel | 1105 | Research & Development | 24 | 4 | Life Sciences | 1 | 419 | 2 | Female | 47 | 3 | 2 | Laboratory Technician | 2 | Married | 5674 | 6927 | 7 | Y | No | 15 | 3 | 3 | 80 | 1 | 11 | 3 | 3 | 9 | 8 | 0 | 8 |
| 32 | No | Travel_Rarely | 906 | Sales | 7 | 3 | Life Sciences | 1 | 420 | 4 | Male | 91 | 2 | 2 | Sales Executive | 3 | Married | 5484 | 16985 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 13 | 8 | 4 | 8 |
| 38 | No | Travel_Rarely | 849 | Research & Development | 25 | 2 | Life Sciences | 1 | 421 | 1 | Female | 81 | 2 | 3 | Research Director | 2 | Married | 12061 | 26707 | 3 | Y | No | 17 | 3 | 3 | 80 | 1 | 19 | 2 | 3 | 10 | 8 | 0 | 1 |
| 58 | No | Non-Travel | 390 | Research & Development | 1 | 4 | Life Sciences | 1 | 422 | 4 | Male | 32 | 1 | 2 | Healthcare Representative | 3 | Divorced | 5660 | 17056 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 12 | 2 | 3 | 5 | 3 | 1 | 2 |
| 31 | No | Travel_Rarely | 691 | Research & Development | 5 | 4 | Technical Degree | 1 | 423 | 3 | Male | 86 | 3 | 1 | Research Scientist | 4 | Married | 4821 | 10077 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 6 | 4 | 3 | 5 | 2 | 0 | 3 |
| 31 | No | Travel_Rarely | 106 | Human Resources | 2 | 3 | Human Resources | 1 | 424 | 1 | Male | 62 | 2 | 2 | Human Resources | 1 | Married | 6410 | 17822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 1 | 3 | 2 | 2 | 1 | 0 |
| 45 | No | Travel_Frequently | 1249 | Research & Development | 7 | 3 | Life Sciences | 1 | 425 | 1 | Male | 97 | 3 | 3 | Laboratory Technician | 1 | Divorced | 5210 | 20308 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 24 | 2 | 3 | 24 | 9 | 9 | 11 |
| 31 | No | Travel_Rarely | 192 | Research & Development | 2 | 4 | Life Sciences | 1 | 426 | 3 | Male | 32 | 3 | 1 | Research Scientist | 4 | Divorced | 2695 | 7747 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 3 | 2 | 1 | 2 | 2 | 2 | 2 |
| 33 | No | Travel_Frequently | 553 | Research & Development | 5 | 4 | Life Sciences | 1 | 428 | 4 | Female | 74 | 3 | 3 | Manager | 2 | Married | 11878 | 23364 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 12 | 2 | 3 | 10 | 6 | 8 | 8 |
| 39 | No | Travel_Rarely | 117 | Research & Development | 10 | 1 | Medical | 1 | 429 | 3 | Male | 99 | 3 | 4 | Manager | 1 | Married | 17068 | 5355 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 21 | 3 | 3 | 21 | 9 | 11 | 10 |
| 43 | No | Travel_Frequently | 185 | Research & Development | 10 | 4 | Life Sciences | 1 | 430 | 3 | Female | 33 | 3 | 1 | Laboratory Technician | 4 | Single | 2455 | 10675 | 0 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 5 | 3 | 8 | 7 | 1 | 7 |
| 49 | No | Travel_Rarely | 1091 | Research & Development | 1 | 2 | Technical Degree | 1 | 431 | 3 | Female | 90 | 2 | 4 | Healthcare Representative | 3 | Single | 13964 | 17810 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 25 | 2 | 3 | 7 | 1 | 0 | 7 |
| 52 | Yes | Travel_Rarely | 723 | Research & Development | 8 | 4 | Medical | 1 | 433 | 3 | Male | 85 | 2 | 2 | Research Scientist | 2 | Married | 4941 | 17747 | 2 | Y | No | 15 | 3 | 1 | 80 | 0 | 11 | 3 | 2 | 8 | 2 | 7 | 7 |
| 27 | No | Travel_Rarely | 1220 | Research & Development | 5 | 3 | Life Sciences | 1 | 434 | 3 | Female | 85 | 3 | 1 | Research Scientist | 2 | Single | 2478 | 20938 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
| 32 | No | Travel_Rarely | 588 | Sales | 8 | 2 | Technical Degree | 1 | 436 | 3 | Female | 65 | 2 | 2 | Sales Executive | 2 | Married | 5228 | 24624 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 13 | 12 | 11 | 9 |
| 27 | No | Travel_Rarely | 1377 | Sales | 2 | 3 | Life Sciences | 1 | 437 | 4 | Male | 74 | 3 | 2 | Sales Executive | 3 | Single | 4478 | 5242 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
| 31 | No | Travel_Rarely | 691 | Sales | 7 | 3 | Marketing | 1 | 438 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 7547 | 7143 | 4 | Y | No | 12 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 7 | 7 | 1 | 7 |
| 32 | No | Travel_Rarely | 1018 | Research & Development | 2 | 4 | Medical | 1 | 439 | 1 | Female | 74 | 4 | 2 | Research Scientist | 4 | Single | 5055 | 10557 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 0 | 2 | 7 | 7 | 0 | 7 |
| 28 | Yes | Travel_Rarely | 1157 | Research & Development | 2 | 4 | Medical | 1 | 440 | 1 | Male | 84 | 1 | 1 | Research Scientist | 4 | Married | 3464 | 24737 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 5 | 4 | 2 | 3 | 2 | 2 | 2 |
| 30 | No | Travel_Rarely | 1275 | Research & Development | 28 | 2 | Medical | 1 | 441 | 4 | Female | 64 | 3 | 2 | Research Scientist | 4 | Married | 5775 | 11934 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 11 | 2 | 3 | 10 | 8 | 1 | 9 |
| 31 | No | Travel_Frequently | 798 | Research & Development | 7 | 2 | Life Sciences | 1 | 442 | 3 | Female | 48 | 2 | 3 | Manufacturing Director | 3 | Married | 8943 | 14034 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 9 | 8 | 9 |
| 39 | No | Travel_Frequently | 672 | Research & Development | 7 | 2 | Medical | 1 | 444 | 3 | Male | 54 | 2 | 5 | Manager | 4 | Married | 19272 | 21141 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 21 | 2 | 3 | 21 | 9 | 13 | 3 |
| 39 | Yes | Travel_Rarely | 1162 | Sales | 3 | 2 | Medical | 1 | 445 | 4 | Female | 41 | 3 | 2 | Sales Executive | 3 | Married | 5238 | 17778 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 33 | No | Travel_Frequently | 508 | Sales | 10 | 3 | Marketing | 1 | 446 | 2 | Male | 46 | 2 | 2 | Sales Executive | 4 | Single | 4682 | 4317 | 3 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 6 | 2 | 7 | 7 | 0 | 1 |
| 47 | No | Travel_Rarely | 1482 | Research & Development | 5 | 5 | Life Sciences | 1 | 447 | 4 | Male | 42 | 3 | 5 | Research Director | 3 | Married | 18300 | 16375 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 3 | 2 | 1 | 1 |
| 43 | No | Travel_Frequently | 559 | Research & Development | 10 | 4 | Life Sciences | 1 | 448 | 3 | Female | 82 | 2 | 2 | Laboratory Technician | 3 | Divorced | 5257 | 6227 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 9 | 7 | 0 | 0 |
| 27 | No | Non-Travel | 210 | Sales | 1 | 1 | Marketing | 1 | 449 | 3 | Male | 73 | 3 | 2 | Sales Executive | 2 | Married | 6349 | 22107 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 0 | 3 | 5 | 4 | 1 | 4 |
| 54 | No | Travel_Frequently | 928 | Research & Development | 20 | 4 | Life Sciences | 1 | 450 | 4 | Female | 31 | 3 | 2 | Research Scientist | 3 | Single | 4869 | 16885 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 4 | 2 | 4 | 3 | 0 | 3 |
| 43 | No | Travel_Rarely | 1001 | Research & Development | 7 | 3 | Life Sciences | 1 | 451 | 3 | Female | 43 | 3 | 3 | Healthcare Representative | 1 | Married | 9985 | 9262 | 8 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 1 | 2 | 1 | 0 | 0 | 0 |
| 45 | No | Travel_Rarely | 549 | Research & Development | 8 | 4 | Other | 1 | 452 | 4 | Male | 75 | 3 | 2 | Research Scientist | 4 | Married | 3697 | 9278 | 9 | Y | No | 14 | 3 | 1 | 80 | 2 | 12 | 3 | 3 | 10 | 9 | 9 | 8 |
| 40 | No | Travel_Rarely | 1124 | Sales | 1 | 2 | Medical | 1 | 453 | 2 | Male | 57 | 1 | 2 | Sales Executive | 4 | Married | 7457 | 13273 | 2 | Y | Yes | 22 | 4 | 3 | 80 | 3 | 6 | 2 | 2 | 4 | 3 | 0 | 2 |
| 29 | Yes | Travel_Rarely | 318 | Research & Development | 8 | 4 | Other | 1 | 454 | 2 | Male | 77 | 1 | 1 | Laboratory Technician | 1 | Married | 2119 | 4759 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 7 | 4 | 2 | 7 | 7 | 0 | 7 |
| 29 | No | Travel_Rarely | 738 | Research & Development | 9 | 5 | Other | 1 | 455 | 2 | Male | 30 | 2 | 1 | Laboratory Technician | 4 | Single | 3983 | 7621 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 30 | No | Travel_Rarely | 570 | Sales | 5 | 3 | Marketing | 1 | 456 | 4 | Female | 30 | 2 | 2 | Sales Executive | 3 | Divorced | 6118 | 5431 | 1 | Y | No | 13 | 3 | 3 | 80 | 3 | 10 | 2 | 3 | 10 | 9 | 1 | 2 |
| 27 | No | Travel_Rarely | 1130 | Sales | 8 | 4 | Marketing | 1 | 458 | 2 | Female | 56 | 3 | 2 | Sales Executive | 2 | Married | 6214 | 3415 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 0 | 7 |
| 37 | No | Travel_Rarely | 1192 | Research & Development | 5 | 2 | Medical | 1 | 460 | 4 | Male | 61 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6347 | 23177 | 7 | Y | No | 16 | 3 | 3 | 80 | 2 | 8 | 2 | 2 | 6 | 2 | 0 | 4 |
| 38 | No | Travel_Rarely | 343 | Research & Development | 15 | 2 | Life Sciences | 1 | 461 | 3 | Male | 92 | 2 | 3 | Research Director | 4 | Divorced | 11510 | 15682 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 10 | 2 | 9 |
| 31 | No | Travel_Rarely | 1232 | Research & Development | 7 | 4 | Medical | 1 | 462 | 3 | Female | 39 | 3 | 3 | Manufacturing Director | 4 | Single | 7143 | 25713 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 11 | 2 | 2 | 11 | 9 | 4 | 10 |
| 29 | No | Travel_Rarely | 144 | Sales | 10 | 1 | Marketing | 1 | 463 | 4 | Female | 39 | 2 | 2 | Sales Executive | 2 | Divorced | 8268 | 11866 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 7 | 7 | 1 | 7 |
| 35 | No | Travel_Rarely | 1296 | Research & Development | 5 | 4 | Technical Degree | 1 | 464 | 3 | Male | 62 | 3 | 3 | Manufacturing Director | 2 | Single | 8095 | 18264 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 17 | 5 | 3 | 16 | 6 | 0 | 13 |
| 23 | No | Travel_Rarely | 1309 | Research & Development | 26 | 1 | Life Sciences | 1 | 465 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Divorced | 2904 | 16092 | 1 | Y | No | 12 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 4 | 2 | 0 | 2 |
| 41 | No | Travel_Rarely | 483 | Research & Development | 6 | 3 | Medical | 1 | 466 | 4 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6032 | 10110 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 4 | 1 | 2 |
| 47 | No | Travel_Frequently | 1309 | Sales | 4 | 1 | Medical | 1 | 467 | 2 | Male | 99 | 3 | 2 | Sales Representative | 3 | Single | 2976 | 25751 | 3 | Y | No | 19 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 0 | 0 | 0 | 0 |
| 42 | No | Travel_Rarely | 810 | Research & Development | 23 | 5 | Life Sciences | 1 | 468 | 1 | Female | 44 | 3 | 4 | Research Director | 4 | Single | 15992 | 15901 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 1 | 0 | 0 | 0 |
| 29 | No | Non-Travel | 746 | Sales | 2 | 3 | Life Sciences | 1 | 469 | 4 | Male | 61 | 3 | 2 | Sales Executive | 3 | Married | 4649 | 16928 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 0 | 2 |
| 42 | No | Travel_Rarely | 544 | Human Resources | 2 | 1 | Technical Degree | 1 | 470 | 3 | Male | 52 | 3 | 1 | Human Resources | 3 | Divorced | 2696 | 24017 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 5 | 3 | 3 | 2 | 1 | 0 |
| 32 | No | Travel_Rarely | 1062 | Research & Development | 2 | 3 | Medical | 1 | 471 | 3 | Female | 75 | 3 | 1 | Laboratory Technician | 2 | Married | 2370 | 3956 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 8 | 4 | 3 | 8 | 0 | 0 | 7 |
| 48 | No | Travel_Rarely | 530 | Sales | 29 | 1 | Medical | 1 | 473 | 1 | Female | 91 | 3 | 3 | Manager | 3 | Married | 12504 | 23978 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 15 | 3 | 1 | 0 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 1319 | Research & Development | 6 | 3 | Medical | 1 | 474 | 3 | Male | 51 | 4 | 2 | Research Scientist | 1 | Divorced | 5974 | 17001 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 13 | 2 | 3 | 7 | 7 | 6 | 7 |
| 30 | No | Non-Travel | 641 | Sales | 25 | 2 | Technical Degree | 1 | 475 | 4 | Female | 85 | 3 | 2 | Sales Executive | 3 | Married | 4736 | 6069 | 7 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 4 | 2 | 2 | 2 | 2 |
| 26 | No | Travel_Rarely | 933 | Sales | 1 | 3 | Life Sciences | 1 | 476 | 3 | Male | 57 | 3 | 2 | Sales Executive | 3 | Married | 5296 | 20156 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 7 | 7 |
| 42 | No | Travel_Rarely | 1332 | Research & Development | 2 | 4 | Other | 1 | 477 | 1 | Male | 98 | 2 | 2 | Healthcare Representative | 4 | Single | 6781 | 17078 | 3 | Y | No | 23 | 4 | 2 | 80 | 0 | 14 | 6 | 3 | 1 | 0 | 0 | 0 |
| 21 | Yes | Travel_Frequently | 756 | Sales | 1 | 1 | Technical Degree | 1 | 478 | 1 | Female | 99 | 2 | 1 | Sales Representative | 2 | Single | 2174 | 9150 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
| 36 | No | Non-Travel | 845 | Sales | 1 | 5 | Medical | 1 | 479 | 4 | Female | 45 | 3 | 2 | Sales Executive | 4 | Single | 6653 | 15276 | 4 | Y | No | 15 | 3 | 2 | 80 | 0 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
| 36 | No | Travel_Frequently | 541 | Sales | 3 | 4 | Medical | 1 | 481 | 1 | Male | 48 | 2 | 3 | Sales Executive | 4 | Married | 9699 | 7246 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 3 | 13 | 9 | 1 | 12 |
| 57 | No | Travel_Rarely | 593 | Research & Development | 1 | 4 | Medical | 1 | 482 | 4 | Male | 88 | 3 | 2 | Healthcare Representative | 3 | Married | 6755 | 2967 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 3 | 2 | 1 | 2 |
| 40 | No | Travel_Rarely | 1171 | Research & Development | 10 | 4 | Life Sciences | 1 | 483 | 4 | Female | 46 | 4 | 1 | Laboratory Technician | 3 | Married | 2213 | 22495 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 7 | 1 | 7 |
| 21 | No | Non-Travel | 895 | Sales | 9 | 2 | Medical | 1 | 484 | 1 | Male | 39 | 3 | 1 | Sales Representative | 4 | Single | 2610 | 2851 | 1 | Y | No | 24 | 4 | 3 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 2 | 2 |
| 33 | Yes | Travel_Rarely | 350 | Sales | 5 | 3 | Marketing | 1 | 485 | 4 | Female | 34 | 3 | 1 | Sales Representative | 3 | Single | 2851 | 9150 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 921 | Research & Development | 10 | 3 | Medical | 1 | 486 | 3 | Female | 98 | 3 | 1 | Laboratory Technician | 1 | Married | 3452 | 17663 | 6 | Y | No | 20 | 4 | 2 | 80 | 1 | 17 | 3 | 3 | 5 | 4 | 0 | 3 |
| 46 | No | Non-Travel | 1144 | Research & Development | 7 | 4 | Medical | 1 | 487 | 3 | Female | 30 | 3 | 2 | Manufacturing Director | 3 | Married | 5258 | 16044 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 7 | 2 | 4 | 1 | 0 | 0 | 0 |
| 41 | Yes | Travel_Frequently | 143 | Sales | 4 | 3 | Marketing | 1 | 488 | 1 | Male | 56 | 3 | 2 | Sales Executive | 2 | Single | 9355 | 9558 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 8 | 7 | 7 | 7 |
| 50 | No | Travel_Rarely | 1046 | Research & Development | 10 | 3 | Technical Degree | 1 | 491 | 4 | Male | 100 | 2 | 3 | Healthcare Representative | 4 | Single | 10496 | 2755 | 6 | Y | No | 15 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
| 40 | Yes | Travel_Rarely | 575 | Sales | 22 | 2 | Marketing | 1 | 492 | 3 | Male | 68 | 2 | 2 | Sales Executive | 3 | Married | 6380 | 6110 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 2 | 8 | 6 | 3 | 6 | 4 | 1 | 0 |
| 31 | No | Travel_Rarely | 408 | Research & Development | 9 | 4 | Life Sciences | 1 | 493 | 3 | Male | 42 | 2 | 1 | Research Scientist | 2 | Single | 2657 | 7551 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 3 | 5 | 3 | 2 | 2 | 2 | 2 |
| 21 | Yes | Travel_Rarely | 156 | Sales | 12 | 3 | Life Sciences | 1 | 494 | 3 | Female | 90 | 4 | 1 | Sales Representative | 2 | Single | 2716 | 25422 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 1 | 0 | 3 | 1 | 0 | 0 | 0 |
| 29 | No | Travel_Rarely | 1283 | Research & Development | 23 | 3 | Life Sciences | 1 | 495 | 4 | Male | 54 | 3 | 1 | Research Scientist | 4 | Single | 2201 | 18168 | 9 | Y | No | 16 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 3 | 2 | 1 | 2 |
| 35 | No | Travel_Rarely | 755 | Research & Development | 9 | 4 | Life Sciences | 1 | 496 | 3 | Male | 97 | 2 | 2 | Healthcare Representative | 2 | Single | 6540 | 19394 | 9 | Y | No | 19 | 3 | 3 | 80 | 0 | 10 | 5 | 3 | 1 | 1 | 0 | 0 |
| 27 | No | Travel_Rarely | 1469 | Research & Development | 1 | 2 | Medical | 1 | 497 | 4 | Male | 82 | 3 | 1 | Laboratory Technician | 2 | Divorced | 3816 | 17881 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 0 | 4 |
| 28 | No | Travel_Rarely | 304 | Sales | 9 | 4 | Life Sciences | 1 | 498 | 2 | Male | 92 | 3 | 2 | Sales Executive | 4 | Single | 5253 | 20750 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 1 | 3 | 7 | 5 | 0 | 7 |
| 49 | No | Travel_Rarely | 1261 | Research & Development | 7 | 3 | Other | 1 | 499 | 2 | Male | 31 | 2 | 3 | Healthcare Representative | 3 | Single | 10965 | 12066 | 8 | Y | No | 24 | 4 | 3 | 80 | 0 | 26 | 2 | 3 | 5 | 2 | 0 | 0 |
| 51 | No | Travel_Rarely | 1178 | Sales | 14 | 2 | Life Sciences | 1 | 500 | 3 | Female | 87 | 3 | 2 | Sales Executive | 4 | Married | 4936 | 14862 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 7 | 7 | 0 | 7 |
| 36 | No | Travel_Rarely | 329 | Research & Development | 2 | 3 | Life Sciences | 1 | 501 | 4 | Female | 96 | 3 | 1 | Research Scientist | 3 | Married | 2543 | 11868 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 34 | Yes | Non-Travel | 1362 | Sales | 19 | 3 | Marketing | 1 | 502 | 1 | Male | 67 | 4 | 2 | Sales Executive | 4 | Single | 5304 | 4652 | 8 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 9 | 3 | 2 | 5 | 2 | 0 | 4 |
| 55 | No | Travel_Rarely | 1311 | Research & Development | 2 | 3 | Life Sciences | 1 | 505 | 3 | Female | 97 | 3 | 4 | Manager | 4 | Single | 16659 | 23258 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 30 | 2 | 3 | 5 | 4 | 1 | 2 |
| 24 | No | Travel_Rarely | 1371 | Sales | 10 | 4 | Marketing | 1 | 507 | 4 | Female | 77 | 3 | 2 | Sales Executive | 3 | Divorced | 4260 | 5915 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 5 | 2 | 0 | 3 |
| 30 | No | Travel_Rarely | 202 | Sales | 2 | 1 | Technical Degree | 1 | 508 | 3 | Male | 72 | 3 | 1 | Sales Representative | 2 | Married | 2476 | 17434 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 26 | Yes | Travel_Frequently | 575 | Research & Development | 3 | 1 | Technical Degree | 1 | 510 | 3 | Male | 73 | 3 | 1 | Research Scientist | 1 | Single | 3102 | 6582 | 0 | Y | No | 22 | 4 | 3 | 80 | 0 | 7 | 2 | 3 | 6 | 4 | 0 | 4 |
| 22 | No | Travel_Rarely | 253 | Research & Development | 11 | 3 | Medical | 1 | 511 | 1 | Female | 43 | 3 | 1 | Research Scientist | 2 | Married | 2244 | 24440 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 2 | 1 | 3 | 2 | 1 | 1 | 2 |
| 36 | No | Travel_Rarely | 164 | Sales | 2 | 2 | Medical | 1 | 513 | 2 | Male | 61 | 2 | 3 | Sales Executive | 3 | Married | 7596 | 3809 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 10 | 9 | 9 | 0 |
| 30 | Yes | Travel_Frequently | 464 | Research & Development | 4 | 3 | Technical Degree | 1 | 514 | 3 | Male | 40 | 3 | 1 | Research Scientist | 4 | Single | 2285 | 3427 | 9 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 3 | 4 | 3 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 1107 | Research & Development | 14 | 3 | Life Sciences | 1 | 515 | 4 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3034 | 26914 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 18 | 7 | 12 | 17 |
| 40 | No | Travel_Rarely | 759 | Sales | 2 | 2 | Marketing | 1 | 516 | 4 | Female | 46 | 3 | 2 | Sales Executive | 2 | Divorced | 5715 | 22553 | 7 | Y | No | 12 | 3 | 3 | 80 | 2 | 8 | 5 | 3 | 5 | 4 | 1 | 3 |
| 42 | No | Travel_Rarely | 201 | Research & Development | 1 | 4 | Life Sciences | 1 | 517 | 2 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2576 | 20490 | 3 | Y | No | 16 | 3 | 2 | 80 | 1 | 8 | 5 | 3 | 5 | 2 | 1 | 2 |
| 37 | No | Travel_Rarely | 1305 | Research & Development | 10 | 4 | Life Sciences | 1 | 518 | 3 | Male | 49 | 3 | 2 | Manufacturing Director | 2 | Single | 4197 | 21123 | 2 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 1 | 0 | 0 | 1 |
| 43 | No | Travel_Rarely | 982 | Research & Development | 12 | 3 | Life Sciences | 1 | 520 | 1 | Male | 59 | 2 | 4 | Research Director | 2 | Divorced | 14336 | 4345 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 3 | 3 | 25 | 10 | 3 | 9 |
| 40 | No | Travel_Rarely | 555 | Research & Development | 2 | 3 | Medical | 1 | 521 | 2 | Female | 78 | 2 | 2 | Laboratory Technician | 3 | Married | 3448 | 13436 | 6 | Y | No | 22 | 4 | 2 | 80 | 1 | 20 | 3 | 3 | 1 | 0 | 0 | 0 |
| 54 | No | Travel_Rarely | 821 | Research & Development | 5 | 2 | Medical | 1 | 522 | 1 | Male | 86 | 3 | 5 | Research Director | 1 | Married | 19406 | 8509 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 24 | 4 | 2 | 4 | 2 | 1 | 2 |
| 34 | No | Non-Travel | 1381 | Sales | 4 | 4 | Marketing | 1 | 523 | 3 | Female | 72 | 3 | 2 | Sales Executive | 3 | Married | 6538 | 12740 | 9 | Y | No | 15 | 3 | 1 | 80 | 1 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
| 31 | No | Travel_Rarely | 480 | Research & Development | 7 | 2 | Medical | 1 | 524 | 2 | Female | 31 | 3 | 2 | Manufacturing Director | 1 | Married | 4306 | 4156 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 1 | 13 | 10 | 3 | 12 |
| 43 | No | Travel_Frequently | 313 | Research & Development | 21 | 3 | Medical | 1 | 525 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Married | 2258 | 15238 | 7 | Y | No | 20 | 4 | 1 | 80 | 1 | 8 | 1 | 3 | 3 | 2 | 1 | 2 |
| 43 | No | Travel_Rarely | 1473 | Research & Development | 8 | 4 | Other | 1 | 526 | 3 | Female | 74 | 3 | 2 | Healthcare Representative | 3 | Divorced | 4522 | 2227 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 2 | 0 | 2 |
| 25 | No | Travel_Rarely | 891 | Sales | 4 | 2 | Life Sciences | 1 | 527 | 2 | Female | 99 | 2 | 2 | Sales Executive | 4 | Single | 4487 | 12090 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 1 | 3 |
| 37 | No | Non-Travel | 1063 | Research & Development | 25 | 5 | Medical | 1 | 529 | 2 | Female | 72 | 3 | 2 | Research Scientist | 3 | Married | 4449 | 23866 | 3 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 13 | 11 | 10 | 7 |
| 31 | No | Travel_Rarely | 329 | Research & Development | 1 | 2 | Life Sciences | 1 | 530 | 4 | Male | 98 | 2 | 1 | Laboratory Technician | 1 | Married | 2218 | 16193 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 4 | 2 | 3 | 2 |
| 39 | No | Travel_Frequently | 1218 | Research & Development | 1 | 1 | Life Sciences | 1 | 531 | 2 | Male | 52 | 3 | 5 | Manager | 3 | Divorced | 19197 | 8213 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 8 | 1 | 6 |
| 56 | No | Travel_Frequently | 906 | Sales | 6 | 3 | Life Sciences | 1 | 532 | 3 | Female | 86 | 4 | 4 | Sales Executive | 1 | Married | 13212 | 18256 | 9 | Y | No | 11 | 3 | 4 | 80 | 3 | 36 | 0 | 2 | 7 | 7 | 7 | 7 |
| 30 | No | Travel_Rarely | 1082 | Sales | 12 | 3 | Technical Degree | 1 | 533 | 2 | Female | 83 | 3 | 2 | Sales Executive | 3 | Single | 6577 | 19558 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 6 | 3 | 5 | 4 | 4 | 4 |
| 41 | No | Travel_Rarely | 645 | Sales | 1 | 3 | Marketing | 1 | 534 | 2 | Male | 49 | 4 | 3 | Sales Executive | 1 | Married | 8392 | 19566 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 7 |
| 28 | No | Travel_Rarely | 1300 | Research & Development | 17 | 2 | Medical | 1 | 536 | 3 | Male | 79 | 3 | 2 | Laboratory Technician | 1 | Divorced | 4558 | 13535 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 0 | 1 | 8 |
| 25 | Yes | Travel_Rarely | 688 | Research & Development | 3 | 3 | Medical | 1 | 538 | 1 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 4031 | 9396 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 2 | 2 | 0 | 2 |
| 52 | No | Travel_Rarely | 319 | Research & Development | 3 | 3 | Medical | 1 | 543 | 4 | Male | 39 | 2 | 3 | Manufacturing Director | 3 | Married | 7969 | 19609 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 28 | 4 | 3 | 5 | 4 | 0 | 4 |
| 45 | No | Travel_Rarely | 192 | Research & Development | 10 | 2 | Life Sciences | 1 | 544 | 1 | Male | 69 | 3 | 1 | Research Scientist | 4 | Married | 2654 | 9655 | 3 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 3 | 2 | 2 | 2 | 0 | 2 |
| 52 | No | Travel_Rarely | 1490 | Research & Development | 4 | 2 | Life Sciences | 1 | 546 | 4 | Female | 30 | 3 | 4 | Manager | 4 | Married | 16555 | 10310 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 31 | 2 | 1 | 5 | 2 | 1 | 4 |
| 42 | No | Travel_Frequently | 532 | Research & Development | 29 | 2 | Life Sciences | 1 | 547 | 1 | Female | 92 | 3 | 2 | Research Scientist | 3 | Divorced | 4556 | 12932 | 2 | Y | No | 11 | 3 | 2 | 80 | 1 | 19 | 3 | 3 | 5 | 4 | 0 | 2 |
| 30 | No | Travel_Rarely | 317 | Research & Development | 2 | 3 | Life Sciences | 1 | 548 | 3 | Female | 43 | 1 | 2 | Manufacturing Director | 4 | Single | 6091 | 24793 | 2 | Y | No | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 3 | 5 | 4 | 0 | 2 |
| 60 | No | Travel_Rarely | 422 | Research & Development | 7 | 3 | Life Sciences | 1 | 549 | 1 | Female | 41 | 3 | 5 | Manager | 1 | Married | 19566 | 3854 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 33 | 5 | 1 | 29 | 8 | 11 | 10 |
| 46 | No | Travel_Rarely | 1485 | Research & Development | 18 | 3 | Medical | 1 | 550 | 3 | Female | 87 | 3 | 2 | Manufacturing Director | 3 | Divorced | 4810 | 26314 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 5 | 2 | 10 | 7 | 0 | 8 |
| 42 | No | Travel_Frequently | 1368 | Research & Development | 28 | 4 | Technical Degree | 1 | 551 | 4 | Female | 88 | 2 | 2 | Healthcare Representative | 4 | Married | 4523 | 4386 | 0 | Y | No | 11 | 3 | 4 | 80 | 3 | 7 | 4 | 4 | 6 | 5 | 0 | 4 |
| 24 | Yes | Travel_Rarely | 1448 | Sales | 1 | 1 | Technical Degree | 1 | 554 | 1 | Female | 62 | 3 | 1 | Sales Representative | 2 | Single | 3202 | 21972 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 5 | 3 | 1 | 4 |
| 34 | Yes | Travel_Frequently | 296 | Sales | 6 | 2 | Marketing | 1 | 555 | 4 | Female | 33 | 1 | 1 | Sales Representative | 3 | Divorced | 2351 | 12253 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 2 | 2 | 1 | 0 |
| 38 | No | Travel_Frequently | 1490 | Research & Development | 2 | 2 | Life Sciences | 1 | 556 | 4 | Male | 42 | 3 | 1 | Laboratory Technician | 4 | Married | 1702 | 12106 | 1 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 40 | No | Travel_Rarely | 1398 | Sales | 2 | 4 | Life Sciences | 1 | 558 | 3 | Female | 79 | 3 | 5 | Manager | 3 | Married | 18041 | 13022 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 20 | 15 | 1 | 12 |
| 26 | No | Travel_Rarely | 1349 | Research & Development | 23 | 3 | Life Sciences | 1 | 560 | 1 | Female | 90 | 3 | 1 | Research Scientist | 4 | Divorced | 2886 | 3032 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 3 | 3 | 1 | 3 | 2 | 0 | 2 |
| 30 | No | Non-Travel | 1400 | Research & Development | 3 | 3 | Life Sciences | 1 | 562 | 3 | Male | 53 | 3 | 1 | Laboratory Technician | 4 | Married | 2097 | 16734 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 3 | 1 | 5 | 3 | 1 | 4 |
| 29 | No | Travel_Rarely | 986 | Research & Development | 3 | 4 | Medical | 1 | 564 | 2 | Male | 93 | 2 | 3 | Research Director | 3 | Married | 11935 | 21526 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 10 | 2 | 0 | 7 |
| 29 | Yes | Travel_Rarely | 408 | Research & Development | 25 | 5 | Technical Degree | 1 | 565 | 3 | Female | 71 | 2 | 1 | Research Scientist | 2 | Married | 2546 | 18300 | 5 | Y | No | 16 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 2 | 2 | 1 | 1 |
| 19 | Yes | Travel_Rarely | 489 | Human Resources | 2 | 2 | Technical Degree | 1 | 566 | 1 | Male | 52 | 2 | 1 | Human Resources | 4 | Single | 2564 | 18437 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 30 | No | Non-Travel | 1398 | Sales | 22 | 4 | Other | 1 | 567 | 3 | Female | 69 | 3 | 3 | Sales Executive | 1 | Married | 8412 | 2890 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 9 | 8 | 7 | 8 |
| 57 | No | Travel_Rarely | 210 | Sales | 29 | 3 | Marketing | 1 | 568 | 1 | Male | 56 | 2 | 4 | Manager | 4 | Divorced | 14118 | 22102 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 1 | 0 | 0 | 0 |
| 50 | No | Travel_Rarely | 1099 | Research & Development | 29 | 4 | Life Sciences | 1 | 569 | 2 | Male | 88 | 2 | 4 | Manager | 3 | Married | 17046 | 9314 | 0 | Y | No | 15 | 3 | 2 | 80 | 1 | 28 | 2 | 3 | 27 | 10 | 15 | 7 |
| 30 | No | Non-Travel | 1116 | Research & Development | 2 | 3 | Medical | 1 | 571 | 3 | Female | 49 | 3 | 1 | Laboratory Technician | 4 | Single | 2564 | 7181 | 0 | Y | No | 14 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 7 | 6 | 7 |
| 60 | No | Travel_Frequently | 1499 | Sales | 28 | 3 | Marketing | 1 | 573 | 3 | Female | 80 | 2 | 3 | Sales Executive | 1 | Married | 10266 | 2845 | 4 | Y | No | 19 | 3 | 4 | 80 | 0 | 22 | 5 | 4 | 18 | 13 | 13 | 11 |
| 47 | No | Travel_Rarely | 983 | Research & Development | 2 | 2 | Medical | 1 | 574 | 1 | Female | 65 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5070 | 7389 | 5 | Y | No | 13 | 3 | 3 | 80 | 3 | 20 | 2 | 3 | 5 | 0 | 0 | 4 |
| 46 | No | Travel_Rarely | 1009 | Research & Development | 2 | 3 | Life Sciences | 1 | 575 | 1 | Male | 51 | 3 | 4 | Research Director | 3 | Married | 17861 | 2288 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 26 | 2 | 1 | 3 | 2 | 0 | 1 |
| 35 | No | Travel_Rarely | 144 | Research & Development | 22 | 3 | Life Sciences | 1 | 577 | 4 | Male | 46 | 1 | 1 | Laboratory Technician | 3 | Single | 4230 | 19225 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 5 | 4 | 4 | 3 |
| 54 | No | Travel_Rarely | 548 | Research & Development | 8 | 4 | Life Sciences | 1 | 578 | 3 | Female | 42 | 3 | 2 | Laboratory Technician | 3 | Single | 3780 | 23428 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 19 | 3 | 3 | 1 | 0 | 0 | 0 |
| 34 | No | Travel_Rarely | 1303 | Research & Development | 2 | 4 | Life Sciences | 1 | 579 | 4 | Male | 62 | 2 | 1 | Research Scientist | 3 | Divorced | 2768 | 8416 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 7 | 3 | 5 | 7 |
| 46 | No | Travel_Rarely | 1125 | Sales | 10 | 3 | Marketing | 1 | 580 | 3 | Female | 94 | 2 | 3 | Sales Executive | 4 | Married | 9071 | 11563 | 2 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 3 | 2 | 1 | 2 |
| 31 | No | Travel_Rarely | 1274 | Research & Development | 9 | 1 | Life Sciences | 1 | 581 | 3 | Male | 33 | 3 | 3 | Manufacturing Director | 2 | Divorced | 10648 | 14394 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 13 | 6 | 4 | 13 | 8 | 0 | 8 |
| 33 | Yes | Travel_Rarely | 1277 | Research & Development | 15 | 1 | Medical | 1 | 582 | 2 | Male | 56 | 3 | 3 | Manager | 3 | Married | 13610 | 24619 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 15 | 2 | 4 | 7 | 6 | 7 | 7 |
| 33 | Yes | Travel_Rarely | 587 | Research & Development | 10 | 1 | Medical | 1 | 584 | 1 | Male | 38 | 1 | 1 | Laboratory Technician | 4 | Divorced | 3408 | 6705 | 7 | Y | No | 13 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 4 | 3 | 1 | 3 |
| 30 | No | Travel_Rarely | 413 | Sales | 7 | 1 | Marketing | 1 | 585 | 4 | Male | 57 | 3 | 1 | Sales Representative | 2 | Single | 2983 | 18398 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
| 35 | No | Travel_Rarely | 1276 | Research & Development | 16 | 3 | Life Sciences | 1 | 586 | 4 | Male | 72 | 3 | 3 | Healthcare Representative | 3 | Married | 7632 | 14295 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 0 |
| 31 | Yes | Travel_Frequently | 534 | Research & Development | 20 | 3 | Life Sciences | 1 | 587 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 3 | Married | 9824 | 22908 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 2 | 3 | 1 | 0 | 0 | 0 |
| 34 | Yes | Travel_Frequently | 988 | Human Resources | 23 | 3 | Human Resources | 1 | 590 | 2 | Female | 43 | 3 | 3 | Human Resources | 1 | Divorced | 9950 | 11533 | 9 | Y | Yes | 15 | 3 | 3 | 80 | 3 | 11 | 2 | 3 | 3 | 2 | 0 | 2 |
| 42 | No | Travel_Frequently | 1474 | Research & Development | 5 | 2 | Other | 1 | 591 | 2 | Male | 97 | 3 | 1 | Laboratory Technician | 3 | Married | 2093 | 9260 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 2 | 2 | 2 | 0 |
| 36 | No | Non-Travel | 635 | Sales | 10 | 4 | Medical | 1 | 592 | 2 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9980 | 15318 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 2 | 10 | 3 | 9 | 7 |
| 22 | Yes | Travel_Frequently | 1368 | Research & Development | 4 | 1 | Technical Degree | 1 | 593 | 3 | Male | 99 | 2 | 1 | Laboratory Technician | 3 | Single | 3894 | 9129 | 5 | Y | No | 16 | 3 | 3 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 1 | 2 |
| 48 | No | Travel_Rarely | 163 | Sales | 2 | 5 | Marketing | 1 | 595 | 2 | Female | 37 | 3 | 2 | Sales Executive | 4 | Married | 4051 | 19658 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 14 | 2 | 3 | 9 | 7 | 6 | 7 |
| 55 | No | Travel_Rarely | 1117 | Sales | 18 | 5 | Life Sciences | 1 | 597 | 1 | Female | 83 | 3 | 4 | Manager | 2 | Single | 16835 | 9873 | 3 | Y | No | 23 | 4 | 4 | 80 | 0 | 37 | 2 | 3 | 10 | 9 | 7 | 7 |
| 41 | No | Non-Travel | 267 | Sales | 10 | 2 | Life Sciences | 1 | 599 | 4 | Male | 56 | 3 | 2 | Sales Executive | 4 | Single | 6230 | 13430 | 7 | Y | No | 14 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 14 | 3 | 1 | 10 |
| 35 | No | Travel_Rarely | 619 | Sales | 1 | 3 | Marketing | 1 | 600 | 2 | Male | 85 | 3 | 2 | Sales Executive | 3 | Married | 4717 | 18659 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 |
| 40 | No | Travel_Rarely | 302 | Research & Development | 6 | 3 | Life Sciences | 1 | 601 | 2 | Female | 75 | 3 | 4 | Manufacturing Director | 3 | Single | 13237 | 20364 | 7 | Y | No | 15 | 3 | 3 | 80 | 0 | 22 | 3 | 3 | 20 | 6 | 5 | 13 |
| 39 | No | Travel_Frequently | 443 | Research & Development | 8 | 1 | Life Sciences | 1 | 602 | 3 | Female | 48 | 3 | 1 | Laboratory Technician | 3 | Married | 3755 | 17872 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 3 | 0 | 7 |
| 31 | No | Travel_Rarely | 828 | Sales | 2 | 1 | Life Sciences | 1 | 604 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Single | 6582 | 8346 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 4 | 6 | 5 | 0 | 5 |
| 42 | No | Travel_Rarely | 319 | Research & Development | 24 | 3 | Medical | 1 | 605 | 4 | Male | 56 | 3 | 3 | Manufacturing Director | 1 | Married | 7406 | 6950 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 1 | 10 | 5 | 2 | 10 | 9 | 5 | 8 |
| 45 | No | Travel_Rarely | 561 | Sales | 2 | 3 | Other | 1 | 606 | 4 | Male | 61 | 3 | 2 | Sales Executive | 2 | Married | 4805 | 16177 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 8 | 7 | 3 | 7 |
| 26 | Yes | Travel_Frequently | 426 | Human Resources | 17 | 4 | Life Sciences | 1 | 608 | 2 | Female | 58 | 3 | 1 | Human Resources | 3 | Divorced | 2741 | 22808 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 7 | 7 | 1 | 0 |
| 29 | No | Travel_Rarely | 232 | Research & Development | 19 | 3 | Technical Degree | 1 | 611 | 4 | Male | 34 | 3 | 2 | Manufacturing Director | 4 | Divorced | 4262 | 22645 | 4 | Y | No | 12 | 3 | 2 | 80 | 2 | 8 | 2 | 4 | 3 | 2 | 1 | 2 |
| 33 | No | Travel_Rarely | 922 | Research & Development | 1 | 5 | Medical | 1 | 612 | 1 | Female | 95 | 4 | 4 | Research Director | 3 | Divorced | 16184 | 22578 | 4 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 6 | 1 | 0 | 5 |
| 31 | No | Travel_Rarely | 688 | Sales | 7 | 3 | Life Sciences | 1 | 613 | 3 | Male | 44 | 2 | 3 | Manager | 4 | Divorced | 11557 | 25291 | 9 | Y | No | 21 | 4 | 3 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 1 |
| 18 | Yes | Travel_Frequently | 1306 | Sales | 5 | 3 | Marketing | 1 | 614 | 2 | Male | 69 | 3 | 1 | Sales Representative | 2 | Single | 1878 | 8059 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 |
| 40 | No | Non-Travel | 1094 | Sales | 28 | 3 | Other | 1 | 615 | 3 | Male | 58 | 1 | 3 | Sales Executive | 1 | Divorced | 10932 | 11373 | 3 | Y | No | 15 | 3 | 3 | 80 | 1 | 20 | 2 | 3 | 1 | 0 | 0 | 1 |
| 41 | No | Non-Travel | 509 | Research & Development | 2 | 4 | Other | 1 | 616 | 1 | Female | 62 | 2 | 2 | Healthcare Representative | 3 | Single | 6811 | 2112 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 8 | 7 | 0 | 7 |
| 26 | No | Travel_Rarely | 775 | Sales | 29 | 2 | Medical | 1 | 618 | 1 | Male | 45 | 3 | 2 | Sales Executive | 3 | Divorced | 4306 | 4267 | 5 | Y | No | 12 | 3 | 1 | 80 | 2 | 8 | 5 | 3 | 0 | 0 | 0 | 0 |
| 35 | No | Travel_Rarely | 195 | Sales | 1 | 3 | Medical | 1 | 620 | 1 | Female | 80 | 3 | 2 | Sales Executive | 3 | Single | 4859 | 6698 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
| 34 | No | Travel_Rarely | 258 | Sales | 21 | 4 | Life Sciences | 1 | 621 | 4 | Male | 74 | 4 | 2 | Sales Executive | 4 | Single | 5337 | 19921 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 5 | 7 |
| 26 | Yes | Travel_Rarely | 471 | Research & Development | 24 | 3 | Technical Degree | 1 | 622 | 3 | Male | 66 | 1 | 1 | Laboratory Technician | 4 | Single | 2340 | 23213 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 799 | Research & Development | 1 | 3 | Technical Degree | 1 | 623 | 2 | Female | 59 | 3 | 3 | Manufacturing Director | 4 | Single | 7491 | 23848 | 4 | Y | No | 17 | 3 | 4 | 80 | 0 | 12 | 3 | 4 | 6 | 5 | 1 | 2 |
| 46 | No | Travel_Frequently | 1034 | Research & Development | 18 | 1 | Medical | 1 | 624 | 1 | Female | 86 | 3 | 3 | Healthcare Representative | 3 | Married | 10527 | 8984 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 2 | 2 | 1 | 2 |
| 41 | No | Travel_Rarely | 1276 | Sales | 2 | 5 | Life Sciences | 1 | 625 | 2 | Female | 91 | 3 | 4 | Manager | 1 | Married | 16595 | 5626 | 7 | Y | No | 16 | 3 | 2 | 80 | 1 | 22 | 2 | 3 | 18 | 16 | 11 | 8 |
| 37 | No | Non-Travel | 142 | Sales | 9 | 4 | Medical | 1 | 626 | 1 | Male | 69 | 3 | 3 | Sales Executive | 2 | Divorced | 8834 | 24666 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 6 | 3 | 9 | 5 | 7 | 7 |
| 52 | No | Travel_Rarely | 956 | Research & Development | 6 | 2 | Technical Degree | 1 | 630 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Divorced | 5577 | 22087 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 18 | 3 | 3 | 10 | 9 | 6 | 9 |
| 32 | Yes | Non-Travel | 1474 | Sales | 11 | 4 | Other | 1 | 631 | 4 | Male | 60 | 4 | 2 | Sales Executive | 3 | Married | 4707 | 23914 | 8 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 2 | 1 | 2 |
| 24 | No | Travel_Frequently | 535 | Sales | 24 | 3 | Medical | 1 | 632 | 4 | Male | 38 | 3 | 1 | Sales Representative | 4 | Married | 2400 | 5530 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 |
| 38 | No | Travel_Rarely | 1495 | Research & Development | 10 | 3 | Medical | 1 | 634 | 3 | Female | 76 | 3 | 2 | Healthcare Representative | 3 | Married | 9824 | 22174 | 3 | Y | No | 19 | 3 | 3 | 80 | 1 | 18 | 4 | 3 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 446 | Research & Development | 1 | 4 | Life Sciences | 1 | 635 | 2 | Female | 65 | 3 | 2 | Manufacturing Director | 2 | Married | 6447 | 15701 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 6 | 5 | 4 | 3 |
| 49 | No | Travel_Rarely | 1245 | Research & Development | 18 | 4 | Life Sciences | 1 | 638 | 4 | Male | 58 | 2 | 5 | Research Director | 3 | Divorced | 19502 | 2125 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 31 | 5 | 3 | 31 | 9 | 0 | 9 |
| 24 | No | Travel_Rarely | 691 | Research & Development | 23 | 3 | Medical | 1 | 639 | 2 | Male | 89 | 4 | 1 | Research Scientist | 4 | Married | 2725 | 21630 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 1 | 4 |
| 26 | No | Travel_Rarely | 703 | Sales | 28 | 2 | Marketing | 1 | 641 | 1 | Male | 66 | 3 | 2 | Sales Executive | 2 | Married | 6272 | 7428 | 1 | Y | No | 20 | 4 | 4 | 80 | 2 | 6 | 5 | 4 | 5 | 3 | 1 | 4 |
| 24 | No | Travel_Rarely | 823 | Research & Development | 17 | 2 | Other | 1 | 643 | 4 | Male | 94 | 2 | 1 | Laboratory Technician | 2 | Married | 2127 | 9100 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 50 | No | Travel_Frequently | 1246 | Human Resources | 3 | 3 | Medical | 1 | 644 | 1 | Male | 99 | 3 | 5 | Manager | 2 | Married | 18200 | 7999 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 2 | 3 | 32 | 5 | 10 | 7 |
| 25 | No | Travel_Rarely | 622 | Sales | 13 | 1 | Medical | 1 | 645 | 2 | Male | 40 | 3 | 1 | Sales Representative | 3 | Married | 2096 | 26376 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 1 | 3 | 7 | 4 | 0 | 6 |
| 24 | Yes | Travel_Frequently | 1287 | Research & Development | 7 | 3 | Life Sciences | 1 | 647 | 1 | Female | 55 | 3 | 1 | Laboratory Technician | 3 | Married | 2886 | 14168 | 1 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 6 | 3 | 1 | 2 |
| 30 | Yes | Travel_Frequently | 448 | Sales | 12 | 4 | Life Sciences | 1 | 648 | 2 | Male | 74 | 2 | 1 | Sales Representative | 1 | Married | 2033 | 14470 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 1 | 2 | 4 | 1 | 0 | 0 | 0 |
| 34 | No | Travel_Rarely | 254 | Research & Development | 1 | 2 | Life Sciences | 1 | 649 | 2 | Male | 83 | 2 | 1 | Research Scientist | 4 | Married | 3622 | 22794 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
| 31 | Yes | Travel_Rarely | 1365 | Sales | 13 | 4 | Medical | 1 | 650 | 2 | Male | 46 | 3 | 2 | Sales Executive | 1 | Divorced | 4233 | 11512 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 9 | 2 | 1 | 3 | 1 | 1 | 2 |
| 35 | No | Travel_Rarely | 538 | Research & Development | 25 | 2 | Other | 1 | 652 | 1 | Male | 54 | 2 | 2 | Laboratory Technician | 4 | Single | 3681 | 14004 | 4 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
| 31 | No | Travel_Rarely | 525 | Sales | 6 | 4 | Medical | 1 | 653 | 1 | Male | 66 | 4 | 2 | Sales Executive | 4 | Divorced | 5460 | 6219 | 4 | Y | No | 22 | 4 | 4 | 80 | 2 | 13 | 4 | 4 | 7 | 7 | 5 | 7 |
| 27 | No | Travel_Rarely | 798 | Research & Development | 6 | 4 | Medical | 1 | 655 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2187 | 5013 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 6 | 5 | 2 | 5 | 3 | 0 | 3 |
| 37 | No | Travel_Rarely | 558 | Sales | 2 | 3 | Marketing | 1 | 656 | 4 | Male | 75 | 3 | 2 | Sales Executive | 3 | Married | 9602 | 3010 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 17 | 3 | 2 | 3 | 0 | 1 | 0 |
| 20 | No | Travel_Rarely | 959 | Research & Development | 1 | 3 | Life Sciences | 1 | 657 | 4 | Female | 83 | 2 | 1 | Research Scientist | 2 | Single | 2836 | 11757 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 0 |
| 42 | No | Travel_Rarely | 622 | Research & Development | 2 | 4 | Life Sciences | 1 | 659 | 3 | Female | 81 | 3 | 2 | Healthcare Representative | 4 | Married | 4089 | 5718 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 4 | 3 | 10 | 2 | 2 | 2 |
| 43 | No | Travel_Rarely | 782 | Research & Development | 6 | 4 | Other | 1 | 661 | 2 | Male | 50 | 2 | 4 | Research Director | 4 | Divorced | 16627 | 2671 | 4 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 2 | 1 | 0 | 0 | 0 |
| 38 | No | Travel_Rarely | 362 | Research & Development | 1 | 1 | Life Sciences | 1 | 662 | 3 | Female | 43 | 3 | 1 | Research Scientist | 1 | Single | 2619 | 14561 | 3 | Y | No | 17 | 3 | 4 | 80 | 0 | 8 | 3 | 2 | 0 | 0 | 0 | 0 |
| 43 | No | Travel_Frequently | 1001 | Research & Development | 9 | 5 | Medical | 1 | 663 | 4 | Male | 72 | 3 | 2 | Laboratory Technician | 3 | Divorced | 5679 | 19627 | 3 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 8 | 7 | 4 | 7 |
| 48 | No | Travel_Rarely | 1236 | Research & Development | 1 | 4 | Life Sciences | 1 | 664 | 4 | Female | 40 | 2 | 4 | Manager | 1 | Married | 15402 | 17997 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 3 | 1 | 3 | 2 | 0 | 2 |
| 44 | No | Travel_Rarely | 1112 | Human Resources | 1 | 4 | Life Sciences | 1 | 665 | 1 | Female | 50 | 2 | 2 | Human Resources | 3 | Single | 5985 | 26894 | 4 | Y | No | 11 | 3 | 2 | 80 | 0 | 10 | 1 | 4 | 2 | 2 | 0 | 2 |
| 34 | No | Travel_Rarely | 204 | Sales | 14 | 3 | Technical Degree | 1 | 666 | 3 | Female | 31 | 3 | 1 | Sales Representative | 3 | Divorced | 2579 | 2912 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 8 | 3 | 3 | 8 | 2 | 0 | 6 |
| 27 | Yes | Travel_Rarely | 1420 | Sales | 2 | 1 | Marketing | 1 | 667 | 3 | Male | 85 | 3 | 1 | Sales Representative | 1 | Divorced | 3041 | 16346 | 0 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 0 | 2 |
| 21 | No | Travel_Rarely | 1343 | Sales | 22 | 1 | Technical Degree | 1 | 669 | 3 | Male | 49 | 3 | 1 | Sales Representative | 3 | Single | 3447 | 24444 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 1 | 2 |
| 44 | No | Travel_Rarely | 1315 | Research & Development | 3 | 4 | Other | 1 | 671 | 4 | Male | 35 | 3 | 5 | Manager | 4 | Married | 19513 | 9358 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 26 | 2 | 4 | 2 | 2 | 0 | 1 |
| 22 | No | Travel_Rarely | 604 | Research & Development | 6 | 1 | Medical | 1 | 675 | 1 | Male | 69 | 3 | 1 | Research Scientist | 3 | Married | 2773 | 12145 | 0 | Y | No | 20 | 4 | 4 | 80 | 0 | 3 | 3 | 3 | 2 | 2 | 2 | 2 |
| 33 | No | Travel_Rarely | 1216 | Sales | 8 | 4 | Marketing | 1 | 677 | 3 | Male | 39 | 3 | 2 | Sales Executive | 3 | Divorced | 7104 | 20431 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
| 32 | No | Travel_Rarely | 646 | Research & Development | 9 | 4 | Life Sciences | 1 | 679 | 1 | Female | 92 | 3 | 2 | Research Scientist | 4 | Married | 6322 | 18089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 2 | 6 | 4 | 0 | 5 |
| 30 | No | Travel_Frequently | 160 | Research & Development | 3 | 3 | Medical | 1 | 680 | 3 | Female | 71 | 3 | 1 | Research Scientist | 3 | Divorced | 2083 | 22653 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 53 | No | Travel_Rarely | 238 | Sales | 1 | 1 | Medical | 1 | 682 | 4 | Female | 34 | 3 | 2 | Sales Executive | 1 | Single | 8381 | 7507 | 7 | Y | No | 20 | 4 | 4 | 80 | 0 | 18 | 2 | 4 | 14 | 7 | 8 | 10 |
| 34 | No | Travel_Rarely | 1397 | Research & Development | 1 | 5 | Life Sciences | 1 | 683 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2691 | 7660 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 4 | 2 | 10 | 9 | 8 | 8 |
| 45 | Yes | Travel_Frequently | 306 | Sales | 26 | 4 | Life Sciences | 1 | 684 | 1 | Female | 100 | 3 | 2 | Sales Executive | 1 | Married | 4286 | 5630 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 0 |
| 26 | No | Travel_Rarely | 991 | Research & Development | 6 | 3 | Life Sciences | 1 | 686 | 3 | Female | 71 | 3 | 1 | Laboratory Technician | 4 | Married | 2659 | 17759 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 37 | No | Travel_Rarely | 482 | Research & Development | 3 | 3 | Other | 1 | 689 | 3 | Male | 36 | 3 | 3 | Manufacturing Director | 3 | Married | 9434 | 9606 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 7 | 8 |
| 29 | No | Travel_Rarely | 1176 | Sales | 3 | 2 | Medical | 1 | 690 | 2 | Female | 62 | 3 | 2 | Sales Executive | 3 | Married | 5561 | 3487 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 6 | 0 | 1 | 2 |
| 35 | No | Travel_Rarely | 1017 | Research & Development | 6 | 4 | Life Sciences | 1 | 691 | 2 | Male | 82 | 1 | 2 | Research Scientist | 4 | Single | 6646 | 19368 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 11 | 11 | 8 |
| 33 | No | Travel_Frequently | 1296 | Research & Development | 6 | 3 | Life Sciences | 1 | 692 | 3 | Male | 30 | 3 | 2 | Healthcare Representative | 4 | Divorced | 7725 | 5335 | 3 | Y | No | 23 | 4 | 3 | 80 | 1 | 15 | 2 | 1 | 13 | 11 | 4 | 7 |
| 54 | No | Travel_Rarely | 397 | Human Resources | 19 | 4 | Medical | 1 | 698 | 3 | Male | 88 | 3 | 3 | Human Resources | 2 | Married | 10725 | 6729 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 16 | 1 | 4 | 9 | 7 | 7 | 1 |
| 36 | No | Travel_Rarely | 913 | Research & Development | 9 | 2 | Medical | 1 | 699 | 2 | Male | 48 | 2 | 2 | Manufacturing Director | 2 | Divorced | 8847 | 13934 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 3 | 2 | 0 | 2 |
| 27 | No | Travel_Rarely | 1115 | Research & Development | 3 | 4 | Medical | 1 | 700 | 1 | Male | 54 | 2 | 1 | Research Scientist | 4 | Single | 2045 | 15174 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 0 | 3 | 4 | 2 | 1 | 1 |
| 20 | Yes | Travel_Rarely | 1362 | Research & Development | 10 | 1 | Medical | 1 | 701 | 4 | Male | 32 | 3 | 1 | Research Scientist | 3 | Single | 1009 | 26999 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 1 |
| 33 | Yes | Travel_Frequently | 1076 | Research & Development | 3 | 3 | Life Sciences | 1 | 702 | 1 | Male | 70 | 3 | 1 | Research Scientist | 1 | Single | 3348 | 3164 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 9 | 7 |
| 35 | No | Non-Travel | 727 | Research & Development | 3 | 3 | Life Sciences | 1 | 704 | 3 | Male | 41 | 2 | 1 | Laboratory Technician | 3 | Married | 1281 | 16900 | 1 | Y | No | 18 | 3 | 3 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 23 | No | Travel_Rarely | 885 | Research & Development | 4 | 3 | Medical | 1 | 705 | 1 | Male | 58 | 4 | 1 | Research Scientist | 1 | Married | 2819 | 8544 | 2 | Y | No | 16 | 3 | 1 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 0 | 2 |
| 25 | No | Travel_Rarely | 810 | Sales | 8 | 3 | Life Sciences | 1 | 707 | 4 | Male | 57 | 4 | 2 | Sales Executive | 2 | Married | 4851 | 15678 | 0 | Y | No | 22 | 4 | 3 | 80 | 1 | 4 | 4 | 3 | 3 | 2 | 1 | 2 |
| 38 | No | Travel_Rarely | 243 | Sales | 7 | 4 | Marketing | 1 | 709 | 4 | Female | 46 | 2 | 2 | Sales Executive | 4 | Single | 4028 | 7791 | 0 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 5 |
| 29 | No | Travel_Frequently | 806 | Research & Development | 1 | 4 | Life Sciences | 1 | 710 | 2 | Male | 76 | 1 | 1 | Research Scientist | 4 | Divorced | 2720 | 18959 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 7 | 2 | 8 |
| 48 | No | Travel_Rarely | 817 | Sales | 2 | 1 | Marketing | 1 | 712 | 2 | Male | 56 | 4 | 2 | Sales Executive | 2 | Married | 8120 | 18597 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 12 | 3 | 3 | 2 | 2 | 2 | 2 |
| 27 | No | Travel_Frequently | 1410 | Sales | 3 | 1 | Medical | 1 | 714 | 4 | Female | 71 | 4 | 2 | Sales Executive | 4 | Divorced | 4647 | 16673 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 |
| 37 | No | Travel_Rarely | 1225 | Research & Development | 10 | 2 | Life Sciences | 1 | 715 | 4 | Male | 80 | 4 | 1 | Research Scientist | 4 | Single | 4680 | 15232 | 3 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 1 | 0 | 0 | 0 |
| 50 | No | Travel_Rarely | 1207 | Research & Development | 28 | 1 | Medical | 1 | 716 | 4 | Male | 74 | 4 | 1 | Laboratory Technician | 3 | Married | 3221 | 3297 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 |
| 34 | No | Travel_Rarely | 1442 | Research & Development | 9 | 3 | Medical | 1 | 717 | 4 | Female | 46 | 2 | 3 | Healthcare Representative | 2 | Single | 8621 | 17654 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 4 | 8 | 7 | 7 | 7 |
| 24 | Yes | Travel_Rarely | 693 | Sales | 3 | 2 | Life Sciences | 1 | 720 | 1 | Female | 65 | 3 | 2 | Sales Executive | 3 | Single | 4577 | 24785 | 9 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
| 39 | No | Travel_Rarely | 408 | Research & Development | 2 | 4 | Technical Degree | 1 | 721 | 4 | Female | 80 | 2 | 2 | Healthcare Representative | 3 | Single | 4553 | 20978 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 20 | 4 | 3 | 20 | 7 | 11 | 10 |
| 32 | No | Travel_Rarely | 929 | Sales | 10 | 3 | Marketing | 1 | 722 | 4 | Male | 55 | 3 | 2 | Sales Executive | 4 | Single | 5396 | 21703 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 0 | 8 |
| 50 | Yes | Travel_Frequently | 562 | Sales | 8 | 2 | Technical Degree | 1 | 723 | 2 | Male | 50 | 3 | 2 | Sales Executive | 3 | Married | 6796 | 23452 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 18 | 4 | 3 | 4 | 3 | 1 | 3 |
| 38 | No | Travel_Rarely | 827 | Research & Development | 1 | 4 | Life Sciences | 1 | 724 | 2 | Female | 33 | 4 | 2 | Healthcare Representative | 4 | Single | 7625 | 19383 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 4 | 2 | 9 | 7 | 1 | 8 |
| 27 | No | Travel_Rarely | 608 | Research & Development | 1 | 2 | Life Sciences | 1 | 725 | 3 | Female | 68 | 3 | 3 | Manufacturing Director | 1 | Married | 7412 | 6009 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 7 |
| 32 | No | Travel_Rarely | 1018 | Research & Development | 3 | 2 | Life Sciences | 1 | 727 | 3 | Female | 39 | 3 | 3 | Research Director | 4 | Single | 11159 | 19373 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 7 | 7 | 7 | 7 |
| 47 | No | Travel_Rarely | 703 | Sales | 14 | 4 | Marketing | 1 | 728 | 4 | Male | 42 | 3 | 2 | Sales Executive | 1 | Single | 4960 | 11825 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 7 | 7 | 1 | 7 |
| 40 | No | Travel_Frequently | 580 | Sales | 5 | 4 | Life Sciences | 1 | 729 | 4 | Male | 48 | 2 | 3 | Sales Executive | 1 | Married | 10475 | 23772 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 20 | 2 | 3 | 18 | 13 | 1 | 12 |
| 53 | No | Travel_Rarely | 970 | Research & Development | 7 | 3 | Life Sciences | 1 | 730 | 3 | Male | 59 | 4 | 4 | Research Director | 3 | Married | 14814 | 13514 | 3 | Y | No | 19 | 3 | 3 | 80 | 0 | 32 | 3 | 3 | 5 | 1 | 1 | 3 |
| 41 | No | Travel_Rarely | 427 | Human Resources | 10 | 4 | Human Resources | 1 | 731 | 2 | Male | 73 | 2 | 5 | Manager | 4 | Divorced | 19141 | 8861 | 3 | Y | No | 15 | 3 | 2 | 80 | 3 | 23 | 2 | 2 | 21 | 6 | 12 | 6 |
| 60 | No | Travel_Rarely | 1179 | Sales | 16 | 4 | Marketing | 1 | 732 | 1 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 5405 | 11924 | 8 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 1 | 3 | 2 | 2 | 2 | 2 |
| 27 | No | Travel_Frequently | 294 | Research & Development | 10 | 2 | Life Sciences | 1 | 733 | 4 | Male | 32 | 3 | 3 | Manufacturing Director | 1 | Divorced | 8793 | 4809 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 4 | 2 | 9 | 7 | 1 | 7 |
| 41 | No | Travel_Rarely | 314 | Human Resources | 1 | 3 | Human Resources | 1 | 734 | 4 | Male | 59 | 2 | 5 | Manager | 3 | Married | 19189 | 19562 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 22 | 7 | 2 | 10 |
| 50 | No | Travel_Rarely | 316 | Sales | 8 | 4 | Marketing | 1 | 738 | 4 | Male | 54 | 3 | 1 | Sales Representative | 2 | Married | 3875 | 9983 | 7 | Y | No | 15 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 28 | Yes | Travel_Rarely | 654 | Research & Development | 1 | 2 | Life Sciences | 1 | 741 | 1 | Female | 67 | 1 | 1 | Research Scientist | 2 | Single | 2216 | 3872 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 3 | 7 | 7 | 3 | 7 |
| 36 | No | Non-Travel | 427 | Research & Development | 8 | 3 | Life Sciences | 1 | 742 | 1 | Female | 63 | 4 | 3 | Research Director | 1 | Married | 11713 | 20335 | 9 | Y | No | 14 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 8 | 7 | 0 | 5 |
| 38 | No | Travel_Rarely | 168 | Research & Development | 1 | 3 | Life Sciences | 1 | 743 | 3 | Female | 81 | 3 | 3 | Manufacturing Director | 3 | Single | 7861 | 15397 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 1 | 0 | 0 | 0 |
| 44 | No | Non-Travel | 381 | Research & Development | 24 | 3 | Medical | 1 | 744 | 1 | Male | 49 | 1 | 1 | Laboratory Technician | 3 | Single | 3708 | 2104 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 5 | 3 | 5 | 2 | 1 | 4 |
| 47 | No | Travel_Frequently | 217 | Sales | 3 | 3 | Medical | 1 | 746 | 4 | Female | 49 | 3 | 4 | Sales Executive | 3 | Divorced | 13770 | 10225 | 9 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 28 | 2 | 2 | 22 | 2 | 11 | 13 |
| 30 | No | Travel_Rarely | 501 | Sales | 27 | 5 | Marketing | 1 | 747 | 3 | Male | 99 | 3 | 2 | Sales Executive | 4 | Divorced | 5304 | 25275 | 7 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
| 29 | No | Travel_Rarely | 1396 | Sales | 10 | 3 | Life Sciences | 1 | 749 | 3 | Male | 99 | 3 | 1 | Sales Representative | 3 | Single | 2642 | 2755 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 42 | Yes | Travel_Frequently | 933 | Research & Development | 19 | 3 | Medical | 1 | 752 | 3 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2759 | 20366 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
| 43 | No | Travel_Frequently | 775 | Sales | 15 | 3 | Life Sciences | 1 | 754 | 4 | Male | 47 | 2 | 2 | Sales Executive | 4 | Married | 6804 | 23683 | 3 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 5 | 3 | 2 | 2 | 2 | 2 |
| 34 | No | Travel_Rarely | 970 | Research & Development | 8 | 2 | Medical | 1 | 757 | 2 | Female | 96 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 7360 | 3 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 5 | 1 | 4 | 3 |
| 23 | No | Travel_Rarely | 650 | Research & Development | 9 | 1 | Medical | 1 | 758 | 2 | Male | 37 | 3 | 1 | Laboratory Technician | 1 | Married | 2500 | 4344 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 4 | 3 | 0 | 2 |
| 39 | No | Travel_Rarely | 141 | Human Resources | 3 | 3 | Human Resources | 1 | 760 | 3 | Female | 44 | 4 | 2 | Human Resources | 2 | Married | 6389 | 18767 | 9 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 1 | 8 | 3 | 3 | 6 |
| 56 | No | Travel_Rarely | 832 | Research & Development | 9 | 3 | Medical | 1 | 762 | 3 | Male | 81 | 3 | 4 | Healthcare Representative | 4 | Married | 11103 | 20420 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 30 | 1 | 2 | 10 | 7 | 1 | 1 |
| 40 | No | Travel_Rarely | 804 | Research & Development | 2 | 1 | Medical | 1 | 763 | 4 | Female | 86 | 2 | 1 | Research Scientist | 4 | Single | 2342 | 22929 | 0 | Y | Yes | 20 | 4 | 4 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 2 | 3 |
| 27 | No | Travel_Rarely | 975 | Research & Development | 7 | 3 | Medical | 1 | 764 | 4 | Female | 55 | 2 | 2 | Healthcare Representative | 1 | Single | 6811 | 23398 | 8 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 2 | 1 | 7 | 6 | 0 | 7 |
| 29 | No | Travel_Rarely | 1090 | Sales | 10 | 3 | Marketing | 1 | 766 | 4 | Male | 83 | 3 | 1 | Sales Representative | 2 | Divorced | 2297 | 17967 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 53 | No | Travel_Rarely | 346 | Research & Development | 6 | 3 | Life Sciences | 1 | 769 | 4 | Male | 86 | 3 | 2 | Laboratory Technician | 4 | Single | 2450 | 10919 | 2 | Y | No | 17 | 3 | 4 | 80 | 0 | 19 | 4 | 3 | 2 | 2 | 2 | 2 |
| 35 | No | Non-Travel | 1225 | Research & Development | 2 | 4 | Life Sciences | 1 | 771 | 4 | Female | 61 | 3 | 2 | Healthcare Representative | 1 | Divorced | 5093 | 4761 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 4 | 1 | 0 | 0 | 0 |
| 32 | No | Travel_Frequently | 430 | Research & Development | 24 | 4 | Life Sciences | 1 | 772 | 1 | Male | 80 | 3 | 2 | Laboratory Technician | 4 | Married | 5309 | 21146 | 1 | Y | No | 15 | 3 | 4 | 80 | 2 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
| 38 | No | Travel_Rarely | 268 | Research & Development | 2 | 5 | Medical | 1 | 773 | 4 | Male | 92 | 3 | 1 | Research Scientist | 3 | Married | 3057 | 20471 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 6 | 0 | 1 | 1 | 0 | 0 | 1 |
| 34 | No | Travel_Rarely | 167 | Research & Development | 8 | 5 | Life Sciences | 1 | 775 | 2 | Female | 32 | 3 | 2 | Manufacturing Director | 1 | Divorced | 5121 | 4187 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 52 | No | Travel_Rarely | 621 | Sales | 3 | 4 | Marketing | 1 | 776 | 3 | Male | 31 | 2 | 4 | Manager | 1 | Married | 16856 | 10084 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 34 | 3 | 4 | 34 | 6 | 1 | 16 |
| 33 | Yes | Travel_Rarely | 527 | Research & Development | 1 | 4 | Other | 1 | 780 | 4 | Male | 63 | 3 | 1 | Research Scientist | 4 | Single | 2686 | 5207 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 7 | 8 |
| 25 | No | Travel_Rarely | 883 | Sales | 26 | 1 | Medical | 1 | 781 | 3 | Female | 32 | 3 | 2 | Sales Executive | 4 | Single | 6180 | 22807 | 1 | Y | No | 23 | 4 | 2 | 80 | 0 | 6 | 5 | 2 | 6 | 5 | 1 | 4 |
| 45 | No | Travel_Rarely | 954 | Sales | 2 | 2 | Technical Degree | 1 | 783 | 2 | Male | 46 | 1 | 2 | Sales Representative | 3 | Single | 6632 | 12388 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 3 | 1 |
| 23 | No | Travel_Rarely | 310 | Research & Development | 10 | 1 | Medical | 1 | 784 | 1 | Male | 79 | 4 | 1 | Research Scientist | 3 | Single | 3505 | 19630 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 47 | Yes | Travel_Frequently | 719 | Sales | 27 | 2 | Life Sciences | 1 | 785 | 2 | Female | 77 | 4 | 2 | Sales Executive | 3 | Single | 6397 | 10339 | 4 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 3 |
| 34 | No | Travel_Rarely | 304 | Sales | 2 | 3 | Other | 1 | 786 | 4 | Male | 60 | 3 | 2 | Sales Executive | 4 | Single | 6274 | 18686 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 6 | 5 | 3 | 6 | 5 | 1 | 4 |
| 55 | Yes | Travel_Rarely | 725 | Research & Development | 2 | 3 | Medical | 1 | 787 | 4 | Male | 78 | 3 | 5 | Manager | 1 | Married | 19859 | 21199 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 2 | 3 | 5 | 2 | 1 | 4 |
| 36 | No | Non-Travel | 1434 | Sales | 8 | 4 | Life Sciences | 1 | 789 | 1 | Male | 76 | 2 | 3 | Sales Executive | 1 | Single | 7587 | 14229 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
| 52 | No | Non-Travel | 715 | Research & Development | 19 | 4 | Medical | 1 | 791 | 4 | Male | 41 | 3 | 1 | Research Scientist | 4 | Married | 4258 | 26589 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 1 | 2 |
| 26 | No | Travel_Frequently | 575 | Research & Development | 1 | 2 | Life Sciences | 1 | 792 | 1 | Female | 71 | 1 | 1 | Laboratory Technician | 4 | Divorced | 4364 | 5288 | 3 | Y | No | 14 | 3 | 1 | 80 | 1 | 5 | 2 | 3 | 2 | 2 | 2 | 0 |
| 29 | No | Travel_Rarely | 657 | Research & Development | 27 | 3 | Medical | 1 | 793 | 2 | Female | 66 | 3 | 2 | Healthcare Representative | 3 | Married | 4335 | 25549 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 11 | 3 | 2 | 8 | 7 | 1 | 1 |
| 26 | Yes | Travel_Rarely | 1146 | Sales | 8 | 3 | Technical Degree | 1 | 796 | 4 | Male | 38 | 2 | 2 | Sales Executive | 1 | Single | 5326 | 3064 | 6 | Y | No | 17 | 3 | 3 | 80 | 0 | 6 | 2 | 2 | 4 | 3 | 1 | 2 |
| 34 | No | Travel_Rarely | 182 | Research & Development | 1 | 4 | Life Sciences | 1 | 797 | 2 | Female | 72 | 4 | 1 | Research Scientist | 4 | Single | 3280 | 13551 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 4 | 2 | 1 | 3 |
| 54 | No | Travel_Rarely | 376 | Research & Development | 19 | 4 | Medical | 1 | 799 | 4 | Female | 95 | 3 | 2 | Manufacturing Director | 1 | Divorced | 5485 | 22670 | 9 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 9 | 4 | 3 | 5 | 3 | 1 | 4 |
| 27 | No | Travel_Frequently | 829 | Sales | 8 | 1 | Marketing | 1 | 800 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Married | 4342 | 24008 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 2 | 1 | 1 |
| 37 | No | Travel_Rarely | 571 | Research & Development | 10 | 1 | Life Sciences | 1 | 802 | 4 | Female | 82 | 3 | 1 | Research Scientist | 1 | Divorced | 2782 | 19905 | 0 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 4 | 3 |
| 38 | No | Travel_Frequently | 240 | Research & Development | 2 | 4 | Life Sciences | 1 | 803 | 1 | Female | 75 | 4 | 2 | Manufacturing Director | 1 | Single | 5980 | 26085 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 17 | 2 | 3 | 15 | 7 | 4 | 12 |
| 34 | No | Travel_Rarely | 121 | Research & Development | 2 | 4 | Medical | 1 | 804 | 3 | Female | 86 | 2 | 1 | Research Scientist | 1 | Single | 4381 | 7530 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
| 35 | No | Travel_Rarely | 384 | Sales | 8 | 4 | Life Sciences | 1 | 805 | 1 | Female | 72 | 3 | 1 | Sales Representative | 4 | Married | 2572 | 20317 | 1 | Y | No | 16 | 3 | 2 | 80 | 1 | 3 | 1 | 2 | 3 | 2 | 0 | 2 |
| 30 | No | Travel_Rarely | 921 | Research & Development | 1 | 3 | Life Sciences | 1 | 806 | 4 | Male | 38 | 1 | 1 | Laboratory Technician | 3 | Married | 3833 | 24375 | 3 | Y | No | 21 | 4 | 3 | 80 | 2 | 7 | 2 | 3 | 2 | 2 | 0 | 2 |
| 40 | No | Travel_Frequently | 791 | Research & Development | 2 | 2 | Medical | 1 | 807 | 3 | Female | 38 | 4 | 2 | Healthcare Representative | 2 | Married | 4244 | 9931 | 1 | Y | No | 24 | 4 | 4 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 3 | 7 |
| 34 | No | Travel_Rarely | 1111 | Sales | 8 | 2 | Life Sciences | 1 | 808 | 3 | Female | 93 | 3 | 2 | Sales Executive | 1 | Married | 6500 | 13305 | 5 | Y | No | 17 | 3 | 2 | 80 | 1 | 6 | 1 | 3 | 3 | 2 | 1 | 2 |
| 42 | No | Travel_Frequently | 570 | Research & Development | 8 | 3 | Life Sciences | 1 | 809 | 2 | Male | 66 | 3 | 5 | Manager | 4 | Divorced | 18430 | 16225 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 24 | 4 | 2 | 24 | 7 | 14 | 9 |
| 23 | Yes | Travel_Rarely | 1243 | Research & Development | 6 | 3 | Life Sciences | 1 | 811 | 3 | Male | 63 | 4 | 1 | Laboratory Technician | 1 | Married | 1601 | 3445 | 1 | Y | Yes | 21 | 4 | 3 | 80 | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 0 |
| 24 | No | Non-Travel | 1092 | Research & Development | 9 | 3 | Life Sciences | 1 | 812 | 3 | Male | 60 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2694 | 26551 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
| 52 | No | Travel_Rarely | 1325 | Research & Development | 11 | 4 | Life Sciences | 1 | 813 | 4 | Female | 82 | 3 | 2 | Laboratory Technician | 3 | Married | 3149 | 21821 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
| 50 | No | Travel_Rarely | 691 | Research & Development | 2 | 3 | Medical | 1 | 815 | 3 | Male | 64 | 3 | 4 | Research Director | 3 | Married | 17639 | 6881 | 5 | Y | No | 16 | 3 | 4 | 80 | 0 | 30 | 3 | 3 | 4 | 3 | 0 | 3 |
| 29 | Yes | Travel_Rarely | 805 | Research & Development | 1 | 2 | Life Sciences | 1 | 816 | 2 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | Married | 2319 | 6689 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 0 |
| 33 | No | Travel_Rarely | 213 | Research & Development | 7 | 3 | Medical | 1 | 817 | 3 | Male | 49 | 3 | 3 | Research Director | 3 | Married | 11691 | 25995 | 0 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 3 | 4 | 13 | 9 | 3 | 7 |
| 33 | Yes | Travel_Rarely | 118 | Sales | 16 | 3 | Marketing | 1 | 819 | 1 | Female | 69 | 3 | 2 | Sales Executive | 1 | Single | 5324 | 26507 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
| 47 | No | Travel_Rarely | 202 | Research & Development | 2 | 2 | Other | 1 | 820 | 3 | Female | 33 | 3 | 4 | Manager | 4 | Married | 16752 | 12982 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 26 | 3 | 2 | 26 | 14 | 3 | 0 |
| 36 | No | Travel_Rarely | 676 | Research & Development | 1 | 3 | Other | 1 | 823 | 3 | Female | 35 | 3 | 2 | Manufacturing Director | 2 | Married | 5228 | 23361 | 0 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 0 | 5 |
| 29 | No | Travel_Rarely | 1252 | Research & Development | 23 | 2 | Life Sciences | 1 | 824 | 3 | Male | 81 | 4 | 1 | Research Scientist | 3 | Married | 2700 | 23779 | 1 | Y | No | 24 | 4 | 3 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 0 | 7 |
| 58 | Yes | Travel_Rarely | 286 | Research & Development | 2 | 4 | Life Sciences | 1 | 825 | 4 | Male | 31 | 3 | 5 | Research Director | 2 | Single | 19246 | 25761 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 40 | 2 | 3 | 31 | 15 | 13 | 8 |
| 35 | No | Travel_Rarely | 1258 | Research & Development | 1 | 4 | Life Sciences | 1 | 826 | 4 | Female | 40 | 4 | 1 | Research Scientist | 3 | Single | 2506 | 13301 | 3 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 0 | 3 | 2 | 2 | 2 | 2 |
| 42 | No | Travel_Rarely | 932 | Research & Development | 1 | 2 | Life Sciences | 1 | 827 | 4 | Female | 43 | 2 | 2 | Manufacturing Director | 4 | Married | 6062 | 4051 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 4 | 3 | 0 | 2 |
| 28 | Yes | Travel_Rarely | 890 | Research & Development | 2 | 4 | Medical | 1 | 828 | 3 | Male | 46 | 3 | 1 | Research Scientist | 3 | Single | 4382 | 16374 | 6 | Y | No | 17 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 2 | 2 | 2 | 1 |
| 36 | No | Travel_Rarely | 1041 | Human Resources | 13 | 3 | Human Resources | 1 | 829 | 3 | Male | 36 | 3 | 1 | Human Resources | 2 | Married | 2143 | 25527 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 0 | 4 |
| 32 | No | Travel_Rarely | 859 | Research & Development | 4 | 3 | Life Sciences | 1 | 830 | 3 | Female | 98 | 2 | 2 | Manufacturing Director | 3 | Married | 6162 | 19124 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 14 | 13 | 6 | 8 |
| 40 | No | Travel_Frequently | 720 | Research & Development | 16 | 4 | Medical | 1 | 832 | 1 | Male | 51 | 2 | 2 | Laboratory Technician | 3 | Single | 5094 | 11983 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 1 | 0 | 0 | 0 |
| 30 | No | Travel_Rarely | 946 | Research & Development | 2 | 3 | Medical | 1 | 833 | 3 | Female | 52 | 2 | 2 | Manufacturing Director | 4 | Single | 6877 | 20234 | 5 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 12 | 4 | 2 | 0 | 0 | 0 | 0 |
| 45 | No | Travel_Rarely | 252 | Research & Development | 2 | 3 | Life Sciences | 1 | 834 | 2 | Female | 95 | 2 | 1 | Research Scientist | 3 | Single | 2274 | 6153 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 42 | No | Travel_Rarely | 933 | Research & Development | 29 | 3 | Life Sciences | 1 | 836 | 2 | Male | 98 | 3 | 2 | Manufacturing Director | 2 | Married | 4434 | 11806 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 8 | 7 | 8 |
| 38 | No | Travel_Frequently | 471 | Research & Development | 12 | 3 | Life Sciences | 1 | 837 | 1 | Male | 45 | 2 | 2 | Healthcare Representative | 1 | Divorced | 6288 | 4284 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 4 | 3 | 1 | 2 |
| 34 | No | Travel_Frequently | 702 | Research & Development | 16 | 4 | Life Sciences | 1 | 838 | 3 | Female | 100 | 2 | 1 | Research Scientist | 4 | Single | 2553 | 8306 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 1 | 3 |
| 49 | Yes | Travel_Rarely | 1184 | Sales | 11 | 3 | Marketing | 1 | 840 | 3 | Female | 43 | 3 | 3 | Sales Executive | 4 | Married | 7654 | 5860 | 1 | Y | No | 18 | 3 | 1 | 80 | 2 | 9 | 3 | 4 | 9 | 8 | 7 | 7 |
| 55 | Yes | Travel_Rarely | 436 | Sales | 2 | 1 | Medical | 1 | 842 | 3 | Male | 37 | 3 | 2 | Sales Executive | 4 | Single | 5160 | 21519 | 4 | Y | No | 16 | 3 | 3 | 80 | 0 | 12 | 3 | 2 | 9 | 7 | 7 | 3 |
| 43 | No | Travel_Rarely | 589 | Research & Development | 14 | 2 | Life Sciences | 1 | 843 | 2 | Male | 94 | 3 | 4 | Research Director | 1 | Married | 17159 | 5200 | 6 | Y | No | 24 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 4 | 1 | 1 | 0 |
| 27 | No | Travel_Rarely | 269 | Research & Development | 5 | 1 | Technical Degree | 1 | 844 | 3 | Male | 42 | 2 | 3 | Research Director | 4 | Divorced | 12808 | 8842 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 0 | 8 |
| 35 | No | Travel_Rarely | 950 | Research & Development | 7 | 3 | Other | 1 | 845 | 3 | Male | 59 | 3 | 3 | Manufacturing Director | 3 | Single | 10221 | 18869 | 3 | Y | No | 21 | 4 | 2 | 80 | 0 | 17 | 3 | 4 | 8 | 5 | 1 | 6 |
| 28 | No | Travel_Rarely | 760 | Sales | 2 | 4 | Marketing | 1 | 846 | 2 | Female | 81 | 3 | 2 | Sales Executive | 2 | Married | 4779 | 3698 | 1 | Y | Yes | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 7 | 5 |
| 34 | No | Travel_Rarely | 829 | Human Resources | 3 | 2 | Human Resources | 1 | 847 | 3 | Male | 88 | 3 | 1 | Human Resources | 4 | Married | 3737 | 2243 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 4 | 1 | 1 | 3 | 2 | 0 | 2 |
| 26 | Yes | Travel_Frequently | 887 | Research & Development | 5 | 2 | Medical | 1 | 848 | 3 | Female | 88 | 2 | 1 | Research Scientist | 3 | Married | 2366 | 20898 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
| 27 | No | Non-Travel | 443 | Research & Development | 3 | 3 | Medical | 1 | 850 | 4 | Male | 50 | 3 | 1 | Research Scientist | 4 | Married | 1706 | 16571 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 0 | 6 | 2 | 0 | 0 | 0 | 0 |
| 51 | No | Travel_Rarely | 1318 | Sales | 26 | 4 | Marketing | 1 | 851 | 1 | Female | 66 | 3 | 4 | Manager | 3 | Married | 16307 | 5594 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 20 | 6 | 4 | 17 |
| 44 | No | Travel_Rarely | 625 | Research & Development | 4 | 3 | Medical | 1 | 852 | 4 | Male | 50 | 3 | 2 | Healthcare Representative | 2 | Single | 5933 | 5197 | 9 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 5 | 2 | 2 | 3 |
| 25 | No | Travel_Rarely | 180 | Research & Development | 2 | 1 | Medical | 1 | 854 | 1 | Male | 65 | 4 | 1 | Research Scientist | 1 | Single | 3424 | 21632 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 4 | 3 | 0 | 1 |
| 33 | No | Travel_Rarely | 586 | Sales | 1 | 3 | Medical | 1 | 855 | 1 | Male | 48 | 4 | 2 | Sales Executive | 1 | Divorced | 4037 | 21816 | 1 | Y | No | 22 | 4 | 1 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 0 | 8 |
| 35 | No | Travel_Rarely | 1343 | Research & Development | 27 | 1 | Medical | 1 | 856 | 3 | Female | 53 | 2 | 1 | Research Scientist | 1 | Single | 2559 | 17852 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 1 |
| 36 | No | Travel_Rarely | 928 | Sales | 1 | 2 | Life Sciences | 1 | 857 | 2 | Male | 56 | 3 | 2 | Sales Executive | 4 | Married | 6201 | 2823 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 18 | 1 | 2 | 18 | 14 | 4 | 11 |
| 32 | No | Travel_Rarely | 117 | Sales | 13 | 4 | Life Sciences | 1 | 859 | 2 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 4403 | 9250 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 8 | 3 | 2 | 5 | 2 | 0 | 3 |
| 30 | No | Travel_Frequently | 1012 | Research & Development | 5 | 4 | Life Sciences | 1 | 861 | 2 | Male | 75 | 2 | 1 | Research Scientist | 4 | Divorced | 3761 | 2373 | 9 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 3 |
| 53 | No | Travel_Rarely | 661 | Sales | 7 | 2 | Marketing | 1 | 862 | 1 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10934 | 20715 | 7 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 35 | 3 | 3 | 5 | 2 | 0 | 4 |
| 45 | No | Travel_Rarely | 930 | Sales | 9 | 3 | Marketing | 1 | 864 | 4 | Male | 74 | 3 | 3 | Sales Executive | 1 | Divorced | 10761 | 19239 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 5 | 4 | 0 | 2 |
| 32 | No | Travel_Rarely | 638 | Research & Development | 8 | 2 | Medical | 1 | 865 | 3 | Female | 91 | 4 | 2 | Research Scientist | 3 | Married | 5175 | 22162 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 5 | 3 | 1 | 3 |
| 52 | No | Travel_Frequently | 890 | Research & Development | 25 | 4 | Medical | 1 | 867 | 3 | Female | 81 | 2 | 4 | Manufacturing Director | 4 | Married | 13826 | 19028 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 31 | 3 | 3 | 9 | 8 | 0 | 0 |
| 37 | No | Travel_Rarely | 342 | Sales | 16 | 4 | Marketing | 1 | 868 | 4 | Male | 66 | 2 | 2 | Sales Executive | 3 | Divorced | 6334 | 24558 | 4 | Y | No | 19 | 3 | 4 | 80 | 2 | 9 | 2 | 3 | 1 | 0 | 0 | 0 |
| 28 | No | Travel_Rarely | 1169 | Human Resources | 8 | 2 | Medical | 1 | 869 | 2 | Male | 63 | 2 | 1 | Human Resources | 4 | Divorced | 4936 | 23965 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 6 | 6 | 3 | 5 | 1 | 0 | 4 |
| 22 | No | Travel_Rarely | 1230 | Research & Development | 1 | 2 | Life Sciences | 1 | 872 | 4 | Male | 33 | 2 | 2 | Manufacturing Director | 4 | Married | 4775 | 19146 | 6 | Y | No | 22 | 4 | 1 | 80 | 2 | 4 | 2 | 1 | 2 | 2 | 2 | 2 |
| 44 | No | Travel_Rarely | 986 | Research & Development | 8 | 4 | Life Sciences | 1 | 874 | 1 | Male | 62 | 4 | 1 | Laboratory Technician | 4 | Married | 2818 | 5044 | 2 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
| 42 | No | Travel_Frequently | 1271 | Research & Development | 2 | 1 | Medical | 1 | 875 | 2 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2515 | 9068 | 5 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 1 | 2 | 2 |
| 36 | No | Travel_Rarely | 1278 | Human Resources | 8 | 3 | Life Sciences | 1 | 878 | 1 | Male | 77 | 2 | 1 | Human Resources | 1 | Married | 2342 | 8635 | 0 | Y | No | 21 | 4 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 4 | 0 | 3 |
| 25 | No | Travel_Rarely | 141 | Sales | 3 | 1 | Other | 1 | 879 | 3 | Male | 98 | 3 | 2 | Sales Executive | 1 | Married | 4194 | 14363 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 3 |
| 35 | No | Travel_Rarely | 607 | Research & Development | 9 | 3 | Life Sciences | 1 | 880 | 4 | Female | 66 | 2 | 3 | Manufacturing Director | 3 | Married | 10685 | 23457 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 17 | 2 | 3 | 17 | 14 | 5 | 15 |
| 35 | Yes | Travel_Frequently | 130 | Research & Development | 25 | 4 | Life Sciences | 1 | 881 | 4 | Female | 96 | 3 | 1 | Research Scientist | 2 | Divorced | 2022 | 16612 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 2 | 7 | 8 |
| 32 | No | Non-Travel | 300 | Research & Development | 1 | 3 | Life Sciences | 1 | 882 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2314 | 9148 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 0 | 0 | 2 |
| 25 | No | Travel_Rarely | 583 | Sales | 4 | 1 | Marketing | 1 | 885 | 3 | Male | 87 | 2 | 2 | Sales Executive | 1 | Married | 4256 | 18154 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 5 | 1 | 4 | 5 | 2 | 0 | 3 |
| 49 | No | Travel_Rarely | 1418 | Research & Development | 1 | 3 | Technical Degree | 1 | 887 | 3 | Female | 36 | 3 | 1 | Research Scientist | 1 | Married | 3580 | 10554 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 4 | 2 | 0 | 2 |
| 24 | No | Non-Travel | 1269 | Research & Development | 4 | 1 | Life Sciences | 1 | 888 | 1 | Male | 46 | 2 | 1 | Laboratory Technician | 4 | Married | 3162 | 10778 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 5 | 2 | 3 | 4 |
| 32 | No | Travel_Frequently | 379 | Sales | 5 | 2 | Life Sciences | 1 | 889 | 2 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6524 | 8891 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 8 | 5 | 3 |
| 38 | No | Travel_Rarely | 395 | Sales | 9 | 3 | Marketing | 1 | 893 | 2 | Male | 98 | 2 | 1 | Sales Representative | 2 | Married | 2899 | 12102 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 3 | 3 | 3 | 2 | 2 | 1 | 2 |
| 42 | No | Travel_Rarely | 1265 | Research & Development | 3 | 3 | Life Sciences | 1 | 894 | 3 | Female | 95 | 4 | 2 | Laboratory Technician | 4 | Married | 5231 | 23726 | 2 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 17 | 1 | 2 | 5 | 3 | 1 | 3 |
| 31 | No | Travel_Rarely | 1222 | Research & Development | 11 | 4 | Life Sciences | 1 | 895 | 4 | Male | 48 | 3 | 1 | Research Scientist | 4 | Married | 2356 | 14871 | 3 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 6 | 4 | 0 | 2 |
| 29 | Yes | Travel_Rarely | 341 | Sales | 1 | 3 | Medical | 1 | 896 | 2 | Female | 48 | 2 | 1 | Sales Representative | 3 | Divorced | 2800 | 23522 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 3 | 5 | 3 | 3 | 3 | 2 | 0 | 2 |
| 53 | No | Travel_Rarely | 868 | Sales | 8 | 3 | Marketing | 1 | 897 | 1 | Male | 73 | 3 | 4 | Sales Executive | 4 | Married | 11836 | 22789 | 5 | Y | No | 14 | 3 | 3 | 80 | 1 | 28 | 3 | 3 | 2 | 0 | 2 | 2 |
| 35 | No | Travel_Rarely | 672 | Research & Development | 25 | 3 | Technical Degree | 1 | 899 | 4 | Male | 78 | 2 | 3 | Manufacturing Director | 2 | Married | 10903 | 9129 | 3 | Y | No | 16 | 3 | 1 | 80 | 0 | 16 | 2 | 3 | 13 | 10 | 4 | 8 |
| 37 | No | Travel_Frequently | 1231 | Sales | 21 | 2 | Medical | 1 | 900 | 3 | Female | 54 | 3 | 1 | Sales Representative | 4 | Married | 2973 | 21222 | 5 | Y | No | 15 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 5 | 4 | 0 | 0 |
| 53 | No | Travel_Rarely | 102 | Research & Development | 23 | 4 | Life Sciences | 1 | 901 | 4 | Female | 72 | 3 | 4 | Research Director | 4 | Single | 14275 | 20206 | 6 | Y | No | 18 | 3 | 3 | 80 | 0 | 33 | 0 | 3 | 12 | 9 | 3 | 8 |
| 43 | No | Travel_Frequently | 422 | Research & Development | 1 | 3 | Life Sciences | 1 | 902 | 4 | Female | 33 | 3 | 2 | Healthcare Representative | 4 | Married | 5562 | 21782 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 2 | 5 | 2 | 2 | 2 |
| 47 | No | Travel_Rarely | 249 | Sales | 2 | 2 | Marketing | 1 | 903 | 3 | Female | 35 | 3 | 2 | Sales Executive | 4 | Married | 4537 | 17783 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 1 | 8 | 2 | 3 | 7 | 6 | 7 | 7 |
| 37 | No | Non-Travel | 1252 | Sales | 19 | 2 | Medical | 1 | 904 | 1 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7642 | 4814 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 0 | 0 | 9 |
| 50 | No | Non-Travel | 881 | Research & Development | 2 | 4 | Life Sciences | 1 | 905 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 17924 | 4544 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 31 | 3 | 3 | 31 | 6 | 14 | 7 |
| 39 | No | Travel_Rarely | 1383 | Human Resources | 2 | 3 | Life Sciences | 1 | 909 | 4 | Female | 42 | 2 | 2 | Human Resources | 4 | Married | 5204 | 7790 | 8 | Y | No | 11 | 3 | 3 | 80 | 2 | 13 | 2 | 3 | 5 | 4 | 0 | 4 |
| 33 | No | Travel_Rarely | 1075 | Human Resources | 3 | 2 | Human Resources | 1 | 910 | 4 | Male | 57 | 3 | 1 | Human Resources | 2 | Divorced | 2277 | 22650 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 7 | 4 | 4 | 4 | 3 | 0 | 3 |
| 32 | Yes | Travel_Rarely | 374 | Research & Development | 25 | 4 | Life Sciences | 1 | 911 | 1 | Male | 87 | 3 | 1 | Laboratory Technician | 4 | Single | 2795 | 18016 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 1 |
| 29 | No | Travel_Rarely | 1086 | Research & Development | 7 | 1 | Medical | 1 | 912 | 1 | Female | 62 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2532 | 6054 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 4 | 3 | 0 | 3 |
| 44 | No | Travel_Rarely | 661 | Research & Development | 9 | 2 | Life Sciences | 1 | 913 | 2 | Male | 61 | 3 | 1 | Research Scientist | 1 | Married | 2559 | 7508 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 1 |
| 28 | No | Travel_Rarely | 821 | Sales | 5 | 4 | Medical | 1 | 916 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 4908 | 24252 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 2 | 0 | 2 |
| 58 | Yes | Travel_Frequently | 781 | Research & Development | 2 | 1 | Life Sciences | 1 | 918 | 4 | Male | 57 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2380 | 13384 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 1 | 0 | 0 | 0 |
| 43 | No | Travel_Rarely | 177 | Research & Development | 8 | 3 | Life Sciences | 1 | 920 | 1 | Female | 55 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4765 | 23814 | 4 | Y | No | 21 | 4 | 3 | 80 | 1 | 4 | 2 | 4 | 1 | 0 | 0 | 0 |
| 20 | Yes | Travel_Rarely | 500 | Sales | 2 | 3 | Medical | 1 | 922 | 3 | Female | 49 | 2 | 1 | Sales Representative | 3 | Single | 2044 | 22052 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 0 | 2 |
| 21 | Yes | Travel_Rarely | 1427 | Research & Development | 18 | 1 | Other | 1 | 923 | 4 | Female | 65 | 3 | 1 | Research Scientist | 4 | Single | 2693 | 8870 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
| 36 | No | Travel_Rarely | 1425 | Research & Development | 14 | 1 | Life Sciences | 1 | 924 | 3 | Male | 68 | 3 | 2 | Healthcare Representative | 4 | Married | 6586 | 4821 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 16 | 8 | 4 | 11 |
| 47 | No | Travel_Rarely | 1454 | Sales | 2 | 4 | Life Sciences | 1 | 925 | 4 | Female | 65 | 2 | 1 | Sales Representative | 4 | Single | 3294 | 13137 | 1 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 1 | 2 |
| 22 | Yes | Travel_Rarely | 617 | Research & Development | 3 | 1 | Life Sciences | 1 | 926 | 2 | Female | 34 | 3 | 2 | Manufacturing Director | 3 | Married | 4171 | 10022 | 0 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 4 | 3 | 4 | 3 | 2 | 0 | 2 |
| 41 | Yes | Travel_Rarely | 1085 | Research & Development | 2 | 4 | Life Sciences | 1 | 927 | 2 | Female | 57 | 1 | 1 | Laboratory Technician | 4 | Divorced | 2778 | 17725 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 1 | 2 | 7 | 7 | 1 | 0 |
| 28 | No | Travel_Rarely | 995 | Research & Development | 9 | 3 | Medical | 1 | 930 | 3 | Female | 77 | 3 | 1 | Research Scientist | 3 | Divorced | 2377 | 9834 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 2 | 2 | 2 | 2 |
| 39 | Yes | Travel_Rarely | 1122 | Research & Development | 6 | 3 | Medical | 1 | 932 | 4 | Male | 70 | 3 | 1 | Laboratory Technician | 1 | Married | 2404 | 4303 | 7 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 8 | 2 | 1 | 2 | 2 | 2 | 2 |
| 27 | No | Travel_Rarely | 618 | Research & Development | 4 | 3 | Life Sciences | 1 | 933 | 2 | Female | 76 | 3 | 1 | Research Scientist | 3 | Single | 2318 | 17808 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
| 34 | No | Travel_Rarely | 546 | Research & Development | 10 | 3 | Life Sciences | 1 | 934 | 2 | Male | 83 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2008 | 6896 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
| 42 | No | Travel_Rarely | 462 | Sales | 14 | 2 | Medical | 1 | 936 | 3 | Female | 68 | 2 | 2 | Sales Executive | 3 | Single | 6244 | 7824 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 6 | 3 | 5 | 4 | 0 | 3 |
| 33 | No | Travel_Rarely | 1198 | Research & Development | 1 | 4 | Other | 1 | 939 | 3 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2799 | 3339 | 3 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 3 | 2 | 0 | 2 |
| 58 | No | Travel_Rarely | 1272 | Research & Development | 5 | 3 | Technical Degree | 1 | 940 | 3 | Female | 37 | 2 | 3 | Healthcare Representative | 2 | Divorced | 10552 | 9255 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 3 | 3 | 6 | 0 | 0 | 4 |
| 31 | No | Travel_Rarely | 154 | Sales | 7 | 4 | Life Sciences | 1 | 941 | 2 | Male | 41 | 2 | 1 | Sales Representative | 3 | Married | 2329 | 11737 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 13 | 2 | 4 | 7 | 7 | 5 | 2 |
| 35 | No | Travel_Rarely | 1137 | Research & Development | 21 | 1 | Life Sciences | 1 | 942 | 4 | Female | 51 | 3 | 2 | Healthcare Representative | 4 | Married | 4014 | 19170 | 1 | Y | Yes | 25 | 4 | 4 | 80 | 1 | 10 | 2 | 1 | 10 | 6 | 0 | 7 |
| 49 | No | Travel_Rarely | 527 | Research & Development | 8 | 2 | Other | 1 | 944 | 1 | Female | 51 | 3 | 3 | Laboratory Technician | 2 | Married | 7403 | 22477 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 29 | 3 | 2 | 26 | 9 | 1 | 7 |
| 48 | No | Travel_Rarely | 1469 | Research & Development | 20 | 4 | Medical | 1 | 945 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Married | 2259 | 5543 | 4 | Y | No | 17 | 3 | 1 | 80 | 2 | 13 | 2 | 2 | 0 | 0 | 0 | 0 |
| 31 | No | Non-Travel | 1188 | Sales | 20 | 2 | Marketing | 1 | 947 | 4 | Female | 45 | 3 | 2 | Sales Executive | 3 | Married | 6932 | 24406 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 2 | 2 | 9 | 8 | 0 | 0 |
| 36 | No | Travel_Rarely | 188 | Research & Development | 7 | 4 | Other | 1 | 949 | 2 | Male | 65 | 3 | 1 | Research Scientist | 4 | Single | 4678 | 23293 | 2 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 6 | 3 | 6 | 2 | 0 | 1 |
| 38 | No | Travel_Rarely | 1333 | Research & Development | 1 | 3 | Technical Degree | 1 | 950 | 4 | Female | 80 | 3 | 3 | Research Director | 1 | Married | 13582 | 16292 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 12 | 5 | 11 |
| 32 | No | Non-Travel | 1184 | Research & Development | 1 | 3 | Life Sciences | 1 | 951 | 3 | Female | 70 | 2 | 1 | Laboratory Technician | 2 | Married | 2332 | 3974 | 6 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 3 | 3 | 0 | 0 | 2 |
| 25 | Yes | Travel_Rarely | 867 | Sales | 19 | 2 | Marketing | 1 | 952 | 3 | Male | 36 | 2 | 1 | Sales Representative | 2 | Married | 2413 | 18798 | 1 | Y | Yes | 18 | 3 | 3 | 80 | 3 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 40 | No | Travel_Rarely | 658 | Sales | 10 | 4 | Marketing | 1 | 954 | 1 | Male | 67 | 2 | 3 | Sales Executive | 2 | Divorced | 9705 | 20652 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 11 | 2 | 2 | 1 | 0 | 0 | 0 |
| 26 | No | Travel_Frequently | 1283 | Sales | 1 | 3 | Medical | 1 | 956 | 3 | Male | 52 | 2 | 2 | Sales Executive | 1 | Single | 4294 | 11148 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 41 | No | Travel_Rarely | 263 | Research & Development | 6 | 3 | Medical | 1 | 957 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 4721 | 3119 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 20 | 3 | 3 | 18 | 13 | 2 | 17 |
| 36 | No | Travel_Rarely | 938 | Research & Development | 2 | 4 | Medical | 1 | 958 | 3 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 2519 | 12287 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 16 | 6 | 3 | 11 | 8 | 3 | 9 |
| 19 | Yes | Travel_Rarely | 419 | Sales | 21 | 3 | Other | 1 | 959 | 4 | Male | 37 | 2 | 1 | Sales Representative | 2 | Single | 2121 | 9947 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 20 | Yes | Travel_Rarely | 129 | Research & Development | 4 | 3 | Technical Degree | 1 | 960 | 1 | Male | 84 | 3 | 1 | Laboratory Technician | 1 | Single | 2973 | 13008 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 31 | No | Travel_Rarely | 616 | Research & Development | 12 | 3 | Medical | 1 | 961 | 4 | Female | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 5855 | 17369 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 10 | 2 | 1 | 9 | 7 | 8 | 5 |
| 40 | No | Travel_Frequently | 1469 | Research & Development | 9 | 4 | Medical | 1 | 964 | 4 | Male | 35 | 3 | 1 | Research Scientist | 2 | Divorced | 3617 | 25063 | 8 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 1 | 1 | 0 | 0 |
| 32 | No | Travel_Rarely | 498 | Research & Development | 3 | 4 | Medical | 1 | 966 | 3 | Female | 93 | 3 | 2 | Manufacturing Director | 1 | Married | 6725 | 13554 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 2 | 4 | 8 | 7 | 6 | 3 |
| 36 | Yes | Travel_Rarely | 530 | Sales | 3 | 1 | Life Sciences | 1 | 967 | 3 | Male | 51 | 2 | 3 | Sales Executive | 4 | Married | 10325 | 5518 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 16 | 6 | 3 | 16 | 7 | 3 | 7 |
| 33 | No | Travel_Rarely | 1069 | Research & Development | 1 | 3 | Life Sciences | 1 | 969 | 2 | Female | 42 | 2 | 2 | Healthcare Representative | 4 | Single | 6949 | 12291 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 4 |
| 37 | Yes | Travel_Rarely | 625 | Sales | 1 | 4 | Life Sciences | 1 | 970 | 1 | Male | 46 | 2 | 3 | Sales Executive | 3 | Married | 10609 | 14922 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 17 | 2 | 1 | 14 | 1 | 11 | 7 |
| 45 | No | Non-Travel | 805 | Research & Development | 4 | 2 | Life Sciences | 1 | 972 | 3 | Male | 57 | 3 | 2 | Laboratory Technician | 2 | Married | 4447 | 23163 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 9 | 7 | 0 | 8 |
| 29 | No | Travel_Frequently | 1404 | Sales | 20 | 3 | Technical Degree | 1 | 974 | 3 | Female | 84 | 3 | 1 | Sales Representative | 4 | Married | 2157 | 18203 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 5 | 3 | 3 | 1 | 0 | 2 |
| 35 | No | Travel_Rarely | 1219 | Sales | 18 | 3 | Medical | 1 | 975 | 3 | Female | 86 | 3 | 2 | Sales Executive | 3 | Married | 4601 | 6179 | 1 | Y | No | 16 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 2 | 1 | 0 |
| 52 | No | Travel_Rarely | 1053 | Research & Development | 1 | 2 | Life Sciences | 1 | 976 | 4 | Male | 70 | 3 | 4 | Manager | 4 | Married | 17099 | 13829 | 2 | Y | No | 15 | 3 | 2 | 80 | 1 | 26 | 2 | 2 | 9 | 8 | 7 | 8 |
| 58 | Yes | Travel_Rarely | 289 | Research & Development | 2 | 3 | Technical Degree | 1 | 977 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Single | 2479 | 26227 | 4 | Y | No | 24 | 4 | 1 | 80 | 0 | 7 | 4 | 3 | 1 | 0 | 0 | 0 |
| 53 | No | Travel_Rarely | 1376 | Sales | 2 | 2 | Medical | 1 | 981 | 3 | Male | 45 | 3 | 4 | Manager | 3 | Divorced | 14852 | 13938 | 6 | Y | No | 13 | 3 | 3 | 80 | 1 | 22 | 3 | 4 | 17 | 13 | 15 | 2 |
| 30 | No | Travel_Rarely | 231 | Sales | 8 | 2 | Other | 1 | 982 | 3 | Male | 62 | 3 | 3 | Sales Executive | 3 | Divorced | 7264 | 9977 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 8 | 4 | 7 | 7 |
| 38 | No | Non-Travel | 152 | Sales | 10 | 3 | Technical Degree | 1 | 983 | 3 | Female | 85 | 3 | 2 | Sales Executive | 4 | Single | 5666 | 19899 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 5 | 3 | 1 | 3 |
| 35 | No | Travel_Rarely | 882 | Sales | 3 | 4 | Life Sciences | 1 | 984 | 4 | Male | 92 | 3 | 3 | Sales Executive | 4 | Divorced | 7823 | 6812 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 0 | 8 |
| 39 | No | Travel_Rarely | 903 | Sales | 2 | 5 | Life Sciences | 1 | 985 | 1 | Male | 41 | 4 | 3 | Sales Executive | 3 | Single | 7880 | 2560 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 0 | 7 |
| 40 | Yes | Non-Travel | 1479 | Sales | 24 | 3 | Life Sciences | 1 | 986 | 2 | Female | 100 | 4 | 4 | Sales Executive | 2 | Single | 13194 | 17071 | 4 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 1 | 0 | 0 | 0 |
| 47 | No | Travel_Frequently | 1379 | Research & Development | 16 | 4 | Medical | 1 | 987 | 3 | Male | 64 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5067 | 6759 | 1 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 20 | 3 | 4 | 19 | 10 | 2 | 7 |
| 36 | No | Non-Travel | 1229 | Sales | 8 | 4 | Technical Degree | 1 | 990 | 1 | Male | 84 | 3 | 2 | Sales Executive | 4 | Divorced | 5079 | 25952 | 4 | Y | No | 13 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
| 31 | Yes | Non-Travel | 335 | Research & Development | 9 | 2 | Medical | 1 | 991 | 3 | Male | 46 | 2 | 1 | Research Scientist | 1 | Single | 2321 | 10322 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 4 | 0 | 3 | 3 | 2 | 1 | 2 |
| 33 | No | Non-Travel | 722 | Sales | 17 | 3 | Life Sciences | 1 | 992 | 4 | Male | 38 | 3 | 4 | Manager | 3 | Single | 17444 | 20489 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 6 | 0 |
| 29 | Yes | Travel_Rarely | 906 | Research & Development | 10 | 3 | Life Sciences | 1 | 994 | 4 | Female | 92 | 2 | 1 | Research Scientist | 1 | Single | 2404 | 11479 | 6 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 3 | 5 | 3 | 0 | 0 | 0 | 0 |
| 33 | No | Travel_Rarely | 461 | Research & Development | 13 | 1 | Life Sciences | 1 | 995 | 2 | Female | 53 | 3 | 1 | Research Scientist | 4 | Single | 3452 | 17241 | 3 | Y | No | 18 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 3 | 2 | 0 | 2 |
| 45 | No | Travel_Rarely | 974 | Research & Development | 1 | 4 | Medical | 1 | 996 | 4 | Female | 91 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2270 | 11005 | 3 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 3 | 5 | 3 | 0 | 2 |
| 50 | No | Travel_Rarely | 1126 | Research & Development | 1 | 2 | Medical | 1 | 997 | 4 | Male | 66 | 3 | 4 | Research Director | 4 | Divorced | 17399 | 6615 | 9 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 1 | 2 | 5 | 4 | 1 | 3 |
| 33 | No | Travel_Frequently | 827 | Research & Development | 1 | 4 | Other | 1 | 998 | 3 | Female | 84 | 4 | 2 | Healthcare Representative | 2 | Married | 5488 | 20161 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 6 | 2 | 3 | 6 | 5 | 1 | 2 |
| 41 | No | Travel_Frequently | 840 | Research & Development | 9 | 3 | Medical | 1 | 999 | 1 | Male | 64 | 3 | 5 | Research Director | 3 | Divorced | 19419 | 3735 | 2 | Y | No | 17 | 3 | 2 | 80 | 1 | 21 | 2 | 4 | 18 | 16 | 0 | 11 |
| 27 | No | Travel_Rarely | 1134 | Research & Development | 16 | 4 | Technical Degree | 1 | 1001 | 3 | Female | 37 | 3 | 1 | Laboratory Technician | 2 | Married | 2811 | 12086 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 45 | No | Non-Travel | 248 | Research & Development | 23 | 2 | Life Sciences | 1 | 1002 | 4 | Male | 42 | 3 | 2 | Laboratory Technician | 1 | Married | 3633 | 14039 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 0 | 8 |
| 47 | No | Travel_Rarely | 955 | Sales | 4 | 2 | Life Sciences | 1 | 1003 | 4 | Female | 83 | 3 | 2 | Sales Executive | 4 | Single | 4163 | 8571 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 9 | 0 | 3 | 9 | 0 | 0 | 7 |
| 30 | Yes | Travel_Rarely | 138 | Research & Development | 22 | 3 | Life Sciences | 1 | 1004 | 1 | Female | 48 | 3 | 1 | Research Scientist | 3 | Married | 2132 | 11539 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 5 | 2 | 0 | 1 |
| 50 | No | Travel_Rarely | 939 | Research & Development | 24 | 3 | Life Sciences | 1 | 1005 | 4 | Male | 95 | 3 | 4 | Manufacturing Director | 3 | Married | 13973 | 4161 | 3 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 22 | 2 | 3 | 12 | 11 | 1 | 5 |
| 38 | No | Travel_Frequently | 1391 | Research & Development | 10 | 1 | Medical | 1 | 1006 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 2684 | 12127 | 0 | Y | No | 17 | 3 | 2 | 80 | 1 | 3 | 0 | 2 | 2 | 1 | 0 | 2 |
| 46 | No | Travel_Rarely | 566 | Research & Development | 7 | 2 | Medical | 1 | 1007 | 4 | Male | 75 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10845 | 24208 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 8 | 7 | 0 | 7 |
| 24 | No | Travel_Rarely | 1206 | Research & Development | 17 | 1 | Medical | 1 | 1009 | 4 | Female | 41 | 2 | 2 | Manufacturing Director | 3 | Divorced | 4377 | 24117 | 1 | Y | No | 15 | 3 | 2 | 80 | 2 | 5 | 6 | 3 | 4 | 2 | 3 | 2 |
| 35 | Yes | Travel_Rarely | 622 | Research & Development | 14 | 4 | Other | 1 | 1010 | 3 | Male | 39 | 2 | 1 | Laboratory Technician | 2 | Divorced | 3743 | 10074 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 1 | 5 | 2 | 1 | 4 | 2 | 0 | 2 |
| 31 | No | Travel_Frequently | 853 | Research & Development | 1 | 1 | Life Sciences | 1 | 1011 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 4148 | 11275 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 1 | 3 | 4 | 3 | 0 | 3 |
| 18 | No | Non-Travel | 287 | Research & Development | 5 | 2 | Life Sciences | 1 | 1012 | 2 | Male | 73 | 3 | 1 | Research Scientist | 4 | Single | 1051 | 13493 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 54 | No | Travel_Rarely | 1441 | Research & Development | 17 | 3 | Technical Degree | 1 | 1013 | 3 | Female | 56 | 3 | 3 | Manufacturing Director | 3 | Married | 10739 | 13943 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 22 | 2 | 3 | 10 | 7 | 0 | 8 |
| 35 | No | Travel_Rarely | 583 | Research & Development | 25 | 4 | Medical | 1 | 1014 | 3 | Female | 57 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10388 | 6975 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 16 | 3 | 2 | 16 | 10 | 10 | 1 |
| 30 | No | Travel_Rarely | 153 | Research & Development | 8 | 2 | Life Sciences | 1 | 1015 | 2 | Female | 73 | 4 | 3 | Research Director | 1 | Married | 11416 | 17802 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 9 | 4 | 2 | 8 | 7 | 1 | 7 |
| 20 | Yes | Travel_Rarely | 1097 | Research & Development | 11 | 3 | Medical | 1 | 1016 | 4 | Female | 98 | 2 | 1 | Research Scientist | 1 | Single | 2600 | 18275 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 30 | Yes | Travel_Frequently | 109 | Research & Development | 5 | 3 | Medical | 1 | 1017 | 2 | Female | 60 | 3 | 1 | Laboratory Technician | 2 | Single | 2422 | 25725 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
| 26 | No | Travel_Rarely | 1066 | Research & Development | 2 | 2 | Medical | 1 | 1018 | 4 | Male | 32 | 4 | 2 | Manufacturing Director | 4 | Married | 5472 | 3334 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 1 | 3 |
| 22 | No | Travel_Rarely | 217 | Research & Development | 8 | 1 | Life Sciences | 1 | 1019 | 2 | Male | 94 | 1 | 1 | Laboratory Technician | 1 | Married | 2451 | 6881 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 1 | 1 |
| 48 | No | Travel_Rarely | 277 | Research & Development | 6 | 3 | Life Sciences | 1 | 1022 | 1 | Male | 97 | 2 | 2 | Healthcare Representative | 3 | Single | 4240 | 13119 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 19 | 0 | 3 | 2 | 2 | 2 | 2 |
| 48 | No | Travel_Rarely | 1355 | Research & Development | 4 | 4 | Life Sciences | 1 | 1024 | 3 | Male | 78 | 2 | 3 | Healthcare Representative | 3 | Single | 10999 | 22245 | 7 | Y | No | 14 | 3 | 2 | 80 | 0 | 27 | 3 | 3 | 15 | 11 | 4 | 8 |
| 41 | No | Travel_Rarely | 549 | Research & Development | 7 | 2 | Medical | 1 | 1025 | 4 | Female | 42 | 3 | 2 | Manufacturing Director | 3 | Single | 5003 | 23371 | 6 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 3 | 2 | 2 | 2 | 1 |
| 39 | No | Travel_Rarely | 466 | Research & Development | 1 | 1 | Life Sciences | 1 | 1026 | 4 | Female | 65 | 2 | 4 | Manufacturing Director | 4 | Married | 12742 | 7060 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 6 | 11 | 8 |
| 27 | No | Travel_Rarely | 1055 | Research & Development | 2 | 4 | Life Sciences | 1 | 1027 | 1 | Female | 47 | 3 | 2 | Manufacturing Director | 4 | Married | 4227 | 4658 | 0 | Y | No | 18 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 35 | No | Travel_Rarely | 802 | Research & Development | 10 | 3 | Other | 1 | 1028 | 2 | Male | 45 | 3 | 1 | Laboratory Technician | 4 | Divorced | 3917 | 9541 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 3 | 4 | 2 | 3 | 2 | 1 | 2 |
| 42 | No | Travel_Rarely | 265 | Sales | 5 | 2 | Marketing | 1 | 1029 | 4 | Male | 90 | 3 | 5 | Manager | 3 | Married | 18303 | 7770 | 6 | Y | No | 13 | 3 | 2 | 80 | 0 | 21 | 3 | 4 | 1 | 0 | 0 | 0 |
| 50 | No | Travel_Rarely | 804 | Research & Development | 9 | 3 | Life Sciences | 1 | 1030 | 1 | Male | 64 | 3 | 1 | Laboratory Technician | 4 | Married | 2380 | 20165 | 4 | Y | No | 18 | 3 | 2 | 80 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
| 59 | No | Travel_Rarely | 715 | Research & Development | 2 | 3 | Life Sciences | 1 | 1032 | 3 | Female | 69 | 2 | 4 | Manufacturing Director | 4 | Single | 13726 | 21829 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 30 | 4 | 3 | 5 | 3 | 4 | 3 |
| 37 | Yes | Travel_Rarely | 1141 | Research & Development | 11 | 2 | Medical | 1 | 1033 | 1 | Female | 61 | 1 | 2 | Healthcare Representative | 2 | Married | 4777 | 14382 | 5 | Y | No | 15 | 3 | 1 | 80 | 0 | 15 | 2 | 1 | 1 | 0 | 0 | 0 |
| 55 | No | Travel_Frequently | 135 | Research & Development | 18 | 4 | Medical | 1 | 1034 | 3 | Male | 62 | 3 | 2 | Healthcare Representative | 2 | Married | 6385 | 12992 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 17 | 3 | 3 | 8 | 7 | 6 | 7 |
| 41 | No | Non-Travel | 247 | Research & Development | 7 | 1 | Life Sciences | 1 | 1035 | 2 | Female | 55 | 1 | 5 | Research Director | 3 | Divorced | 19973 | 20284 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 21 | 3 | 3 | 21 | 16 | 5 | 10 |
| 38 | No | Travel_Rarely | 1035 | Sales | 3 | 4 | Life Sciences | 1 | 1036 | 2 | Male | 42 | 3 | 2 | Sales Executive | 4 | Single | 6861 | 4981 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 19 | 1 | 3 | 1 | 0 | 0 | 0 |
| 26 | Yes | Non-Travel | 265 | Sales | 29 | 2 | Medical | 1 | 1037 | 2 | Male | 79 | 1 | 2 | Sales Executive | 1 | Single | 4969 | 21813 | 8 | Y | No | 18 | 3 | 4 | 80 | 0 | 7 | 6 | 3 | 2 | 2 | 2 | 2 |
| 52 | Yes | Travel_Rarely | 266 | Sales | 2 | 1 | Marketing | 1 | 1038 | 1 | Female | 57 | 1 | 5 | Manager | 4 | Married | 19845 | 25846 | 1 | Y | No | 15 | 3 | 4 | 80 | 1 | 33 | 3 | 3 | 32 | 14 | 6 | 9 |
| 44 | No | Travel_Rarely | 1448 | Sales | 28 | 3 | Medical | 1 | 1039 | 4 | Female | 53 | 4 | 4 | Sales Executive | 4 | Married | 13320 | 11737 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 23 | 2 | 3 | 12 | 11 | 11 | 11 |
| 50 | No | Non-Travel | 145 | Sales | 1 | 3 | Life Sciences | 1 | 1040 | 4 | Female | 95 | 3 | 2 | Sales Executive | 3 | Married | 6347 | 24920 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 19 | 3 | 3 | 18 | 7 | 0 | 13 |
| 36 | Yes | Travel_Rarely | 885 | Research & Development | 16 | 4 | Life Sciences | 1 | 1042 | 3 | Female | 43 | 4 | 1 | Laboratory Technician | 1 | Single | 2743 | 8269 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 18 | 1 | 3 | 17 | 13 | 15 | 14 |
| 39 | No | Travel_Frequently | 945 | Research & Development | 22 | 3 | Medical | 1 | 1043 | 4 | Female | 82 | 3 | 3 | Manufacturing Director | 1 | Single | 10880 | 5083 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 2 | 8 |
| 33 | No | Non-Travel | 1038 | Sales | 8 | 1 | Life Sciences | 1 | 1044 | 2 | Female | 88 | 2 | 1 | Sales Representative | 4 | Single | 2342 | 21437 | 0 | Y | No | 19 | 3 | 4 | 80 | 0 | 3 | 2 | 2 | 2 | 2 | 2 | 2 |
| 45 | No | Travel_Rarely | 1234 | Sales | 11 | 2 | Life Sciences | 1 | 1045 | 4 | Female | 90 | 3 | 4 | Manager | 4 | Married | 17650 | 5404 | 3 | Y | No | 13 | 3 | 2 | 80 | 1 | 26 | 4 | 4 | 9 | 3 | 1 | 1 |
| 32 | No | Non-Travel | 1109 | Research & Development | 29 | 4 | Medical | 1 | 1046 | 4 | Female | 69 | 3 | 1 | Laboratory Technician | 3 | Single | 4025 | 11135 | 9 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 7 | 7 |
| 34 | No | Travel_Rarely | 216 | Sales | 1 | 4 | Marketing | 1 | 1047 | 2 | Male | 75 | 4 | 2 | Sales Executive | 4 | Divorced | 9725 | 12278 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 16 | 2 | 2 | 15 | 1 | 0 | 9 |
| 59 | No | Travel_Rarely | 1089 | Sales | 1 | 2 | Technical Degree | 1 | 1048 | 2 | Male | 66 | 3 | 3 | Manager | 4 | Married | 11904 | 11038 | 3 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 14 | 1 | 1 | 6 | 4 | 0 | 4 |
| 45 | No | Travel_Rarely | 788 | Human Resources | 24 | 4 | Medical | 1 | 1049 | 2 | Male | 36 | 3 | 1 | Human Resources | 2 | Single | 2177 | 8318 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 3 | 0 | 4 |
| 53 | No | Travel_Frequently | 124 | Sales | 2 | 3 | Marketing | 1 | 1050 | 3 | Female | 38 | 2 | 3 | Sales Executive | 2 | Married | 7525 | 23537 | 2 | Y | No | 12 | 3 | 1 | 80 | 1 | 30 | 2 | 3 | 15 | 7 | 6 | 12 |
| 36 | Yes | Travel_Rarely | 660 | Research & Development | 15 | 3 | Other | 1 | 1052 | 1 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4834 | 7858 | 7 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
| 26 | Yes | Travel_Frequently | 342 | Research & Development | 2 | 3 | Life Sciences | 1 | 1053 | 1 | Male | 57 | 3 | 1 | Research Scientist | 1 | Married | 2042 | 15346 | 6 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 3 | 2 | 1 | 2 |
| 34 | No | Travel_Rarely | 1333 | Sales | 10 | 4 | Life Sciences | 1 | 1055 | 3 | Female | 87 | 3 | 1 | Sales Representative | 3 | Married | 2220 | 18410 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
| 28 | No | Travel_Rarely | 1144 | Sales | 10 | 1 | Medical | 1 | 1056 | 4 | Male | 74 | 3 | 1 | Sales Representative | 2 | Married | 1052 | 23384 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
| 38 | No | Travel_Frequently | 1186 | Research & Development | 3 | 4 | Other | 1 | 1060 | 3 | Male | 44 | 3 | 1 | Research Scientist | 3 | Married | 2821 | 2997 | 3 | Y | No | 16 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 50 | No | Travel_Rarely | 1464 | Research & Development | 2 | 4 | Medical | 1 | 1061 | 2 | Male | 62 | 3 | 5 | Research Director | 3 | Married | 19237 | 12853 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 8 | 1 | 7 | 7 |
| 37 | No | Travel_Rarely | 124 | Research & Development | 3 | 3 | Other | 1 | 1062 | 4 | Female | 35 | 3 | 2 | Healthcare Representative | 2 | Single | 4107 | 13848 | 3 | Y | No | 15 | 3 | 1 | 80 | 0 | 8 | 3 | 2 | 4 | 3 | 0 | 1 |
| 40 | No | Travel_Rarely | 300 | Sales | 26 | 3 | Marketing | 1 | 1066 | 3 | Male | 74 | 3 | 2 | Sales Executive | 1 | Married | 8396 | 22217 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 7 | 7 | 7 | 5 |
| 26 | No | Travel_Frequently | 921 | Research & Development | 1 | 1 | Medical | 1 | 1068 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2007 | 25265 | 1 | Y | No | 13 | 3 | 3 | 80 | 2 | 5 | 5 | 3 | 5 | 3 | 1 | 3 |
| 46 | No | Travel_Rarely | 430 | Research & Development | 1 | 4 | Medical | 1 | 1069 | 4 | Male | 40 | 3 | 5 | Research Director | 4 | Divorced | 19627 | 21445 | 9 | Y | No | 17 | 3 | 4 | 80 | 2 | 23 | 0 | 3 | 2 | 2 | 2 | 2 |
| 54 | No | Travel_Rarely | 1082 | Sales | 2 | 4 | Life Sciences | 1 | 1070 | 3 | Female | 41 | 2 | 3 | Sales Executive | 3 | Married | 10686 | 8392 | 6 | Y | No | 11 | 3 | 2 | 80 | 1 | 13 | 4 | 3 | 9 | 4 | 7 | 0 |
| 56 | No | Travel_Frequently | 1240 | Research & Development | 9 | 3 | Medical | 1 | 1071 | 1 | Female | 63 | 3 | 1 | Research Scientist | 3 | Married | 2942 | 12154 | 2 | Y | No | 19 | 3 | 2 | 80 | 1 | 18 | 4 | 3 | 5 | 4 | 0 | 3 |
| 36 | No | Travel_Rarely | 796 | Research & Development | 12 | 5 | Medical | 1 | 1073 | 4 | Female | 51 | 2 | 3 | Manufacturing Director | 4 | Single | 8858 | 15669 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 14 | 8 | 7 | 8 |
| 55 | No | Non-Travel | 444 | Research & Development | 2 | 1 | Medical | 1 | 1074 | 3 | Male | 40 | 2 | 4 | Manager | 1 | Single | 16756 | 17323 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 31 | 3 | 4 | 9 | 7 | 6 | 2 |
| 43 | No | Travel_Rarely | 415 | Sales | 25 | 3 | Medical | 1 | 1076 | 3 | Male | 79 | 2 | 3 | Sales Executive | 4 | Divorced | 10798 | 5268 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 18 | 5 | 3 | 1 | 0 | 0 | 0 |
| 20 | Yes | Travel_Frequently | 769 | Sales | 9 | 3 | Marketing | 1 | 1077 | 4 | Female | 54 | 3 | 1 | Sales Representative | 4 | Single | 2323 | 17205 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 21 | Yes | Travel_Rarely | 1334 | Research & Development | 10 | 3 | Life Sciences | 1 | 1079 | 3 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | Single | 1416 | 17258 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 1 | 6 | 2 | 1 | 0 | 1 | 0 |
| 46 | No | Travel_Rarely | 1003 | Research & Development | 8 | 4 | Life Sciences | 1 | 1080 | 4 | Female | 74 | 2 | 2 | Research Scientist | 1 | Divorced | 4615 | 21029 | 8 | Y | Yes | 23 | 4 | 1 | 80 | 3 | 19 | 2 | 3 | 16 | 13 | 1 | 7 |
| 51 | Yes | Travel_Rarely | 1323 | Research & Development | 4 | 4 | Life Sciences | 1 | 1081 | 1 | Male | 34 | 3 | 1 | Research Scientist | 3 | Married | 2461 | 10332 | 9 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 18 | 2 | 4 | 10 | 0 | 2 | 7 |
| 28 | Yes | Non-Travel | 1366 | Research & Development | 24 | 2 | Technical Degree | 1 | 1082 | 2 | Male | 72 | 2 | 3 | Healthcare Representative | 1 | Single | 8722 | 12355 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 1 | 9 |
| 26 | No | Travel_Rarely | 192 | Research & Development | 1 | 2 | Medical | 1 | 1083 | 1 | Male | 59 | 2 | 1 | Laboratory Technician | 1 | Married | 3955 | 11141 | 1 | Y | No | 16 | 3 | 1 | 80 | 2 | 6 | 2 | 3 | 5 | 3 | 1 | 3 |
| 30 | No | Travel_Rarely | 1176 | Research & Development | 20 | 3 | Other | 1 | 1084 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 1 | Married | 9957 | 9096 | 0 | Y | No | 15 | 3 | 3 | 80 | 1 | 7 | 1 | 2 | 6 | 2 | 0 | 2 |
| 41 | No | Travel_Rarely | 509 | Research & Development | 7 | 2 | Technical Degree | 1 | 1085 | 2 | Female | 43 | 4 | 1 | Research Scientist | 3 | Married | 3376 | 18863 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 10 | 6 | 0 | 8 |
| 38 | No | Travel_Rarely | 330 | Research & Development | 17 | 1 | Life Sciences | 1 | 1088 | 3 | Female | 65 | 2 | 3 | Healthcare Representative | 3 | Married | 8823 | 24608 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 20 | 4 | 2 | 19 | 9 | 1 | 9 |
| 40 | No | Travel_Rarely | 1492 | Research & Development | 20 | 4 | Technical Degree | 1 | 1092 | 1 | Male | 61 | 3 | 3 | Healthcare Representative | 4 | Married | 10322 | 26542 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 14 | 6 | 3 | 11 | 10 | 11 | 1 |
| 27 | No | Non-Travel | 1277 | Research & Development | 8 | 5 | Life Sciences | 1 | 1094 | 1 | Male | 87 | 1 | 1 | Laboratory Technician | 3 | Married | 4621 | 5869 | 1 | Y | No | 19 | 3 | 4 | 80 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 2 |
| 55 | No | Travel_Frequently | 1091 | Research & Development | 2 | 1 | Life Sciences | 1 | 1096 | 4 | Male | 65 | 3 | 3 | Manufacturing Director | 2 | Married | 10976 | 15813 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 23 | 4 | 3 | 3 | 2 | 1 | 2 |
| 28 | No | Travel_Rarely | 857 | Research & Development | 10 | 3 | Other | 1 | 1097 | 3 | Female | 59 | 3 | 2 | Research Scientist | 3 | Single | 3660 | 7909 | 3 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 8 | 7 | 1 | 7 |
| 44 | Yes | Travel_Rarely | 1376 | Human Resources | 1 | 2 | Medical | 1 | 1098 | 2 | Male | 91 | 2 | 3 | Human Resources | 1 | Married | 10482 | 2326 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 1 | 3 | 20 | 6 | 3 | 6 |
| 33 | No | Travel_Rarely | 654 | Research & Development | 5 | 3 | Life Sciences | 1 | 1099 | 4 | Male | 34 | 2 | 3 | Healthcare Representative | 4 | Divorced | 7119 | 21214 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 3 | 2 | 1 | 2 |
| 35 | Yes | Travel_Rarely | 1204 | Sales | 4 | 3 | Technical Degree | 1 | 1100 | 4 | Male | 86 | 3 | 3 | Sales Executive | 1 | Single | 9582 | 10333 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 9 | 2 | 3 | 8 | 7 | 4 | 7 |
| 33 | Yes | Travel_Frequently | 827 | Research & Development | 29 | 4 | Medical | 1 | 1101 | 1 | Female | 54 | 2 | 2 | Research Scientist | 3 | Single | 4508 | 3129 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 14 | 4 | 3 | 13 | 7 | 3 | 8 |
| 28 | No | Travel_Rarely | 895 | Research & Development | 15 | 2 | Life Sciences | 1 | 1102 | 1 | Male | 50 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2207 | 22482 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 5 | 2 | 4 | 2 | 2 | 2 |
| 34 | No | Travel_Frequently | 618 | Research & Development | 3 | 1 | Life Sciences | 1 | 1103 | 1 | Male | 45 | 3 | 2 | Healthcare Representative | 4 | Single | 7756 | 22266 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 0 | 4 |
| 37 | No | Travel_Rarely | 309 | Sales | 10 | 4 | Life Sciences | 1 | 1105 | 4 | Female | 88 | 2 | 2 | Sales Executive | 4 | Divorced | 6694 | 24223 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
| 25 | Yes | Travel_Rarely | 1219 | Research & Development | 4 | 1 | Technical Degree | 1 | 1106 | 4 | Male | 32 | 3 | 1 | Laboratory Technician | 4 | Married | 3691 | 4605 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 1 | 7 | 3 | 4 | 7 | 7 | 5 | 6 |
| 26 | Yes | Travel_Rarely | 1330 | Research & Development | 21 | 3 | Medical | 1 | 1107 | 1 | Male | 37 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2377 | 19373 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 |
| 33 | Yes | Travel_Rarely | 1017 | Research & Development | 25 | 3 | Medical | 1 | 1108 | 1 | Male | 55 | 2 | 1 | Research Scientist | 2 | Single | 2313 | 2993 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 5 | 0 | 3 | 2 | 2 | 2 | 2 |
| 42 | No | Travel_Rarely | 469 | Research & Development | 2 | 2 | Medical | 1 | 1109 | 4 | Male | 35 | 3 | 4 | Manager | 1 | Married | 17665 | 14399 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 22 | 6 | 13 | 7 |
| 28 | Yes | Travel_Frequently | 1009 | Research & Development | 1 | 3 | Medical | 1 | 1111 | 1 | Male | 45 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2596 | 7160 | 1 | Y | No | 15 | 3 | 1 | 80 | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 50 | Yes | Travel_Frequently | 959 | Sales | 1 | 4 | Other | 1 | 1113 | 4 | Male | 81 | 3 | 2 | Sales Executive | 3 | Single | 4728 | 17251 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 5 | 4 | 3 | 0 | 0 | 0 | 0 |
| 33 | No | Travel_Frequently | 970 | Sales | 7 | 3 | Life Sciences | 1 | 1114 | 4 | Female | 30 | 3 | 2 | Sales Executive | 2 | Married | 4302 | 13401 | 0 | Y | No | 17 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 34 | No | Non-Travel | 697 | Research & Development | 3 | 4 | Life Sciences | 1 | 1115 | 3 | Male | 40 | 2 | 1 | Research Scientist | 4 | Married | 2979 | 22478 | 3 | Y | No | 17 | 3 | 4 | 80 | 3 | 6 | 2 | 3 | 0 | 0 | 0 | 0 |
| 48 | No | Non-Travel | 1262 | Research & Development | 1 | 4 | Medical | 1 | 1116 | 1 | Male | 35 | 4 | 4 | Manager | 4 | Single | 16885 | 16154 | 2 | Y | No | 22 | 4 | 3 | 80 | 0 | 27 | 3 | 2 | 5 | 4 | 2 | 1 |
| 45 | No | Non-Travel | 1050 | Sales | 9 | 4 | Life Sciences | 1 | 1117 | 2 | Female | 65 | 2 | 2 | Sales Executive | 3 | Married | 5593 | 17970 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 15 | 2 | 3 | 15 | 10 | 4 | 12 |
| 52 | No | Travel_Rarely | 994 | Research & Development | 7 | 4 | Life Sciences | 1 | 1118 | 2 | Male | 87 | 3 | 3 | Healthcare Representative | 2 | Single | 10445 | 15322 | 7 | Y | No | 19 | 3 | 4 | 80 | 0 | 18 | 4 | 3 | 8 | 6 | 4 | 0 |
| 38 | No | Travel_Rarely | 770 | Sales | 10 | 4 | Marketing | 1 | 1119 | 3 | Male | 73 | 2 | 3 | Sales Executive | 3 | Divorced | 8740 | 5569 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 3 | 8 | 7 | 2 | 7 |
| 29 | No | Travel_Rarely | 1107 | Research & Development | 28 | 4 | Life Sciences | 1 | 1120 | 3 | Female | 93 | 3 | 1 | Research Scientist | 4 | Divorced | 2514 | 26968 | 4 | Y | No | 22 | 4 | 1 | 80 | 1 | 11 | 1 | 3 | 7 | 5 | 1 | 7 |
| 28 | No | Travel_Rarely | 950 | Research & Development | 3 | 3 | Medical | 1 | 1121 | 4 | Female | 93 | 3 | 3 | Manufacturing Director | 2 | Divorced | 7655 | 8039 | 0 | Y | No | 17 | 3 | 2 | 80 | 3 | 10 | 3 | 2 | 9 | 7 | 1 | 7 |
| 46 | No | Travel_Rarely | 406 | Sales | 3 | 1 | Marketing | 1 | 1124 | 1 | Male | 52 | 3 | 4 | Manager | 3 | Married | 17465 | 15596 | 3 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 12 | 9 | 4 | 9 |
| 38 | No | Travel_Rarely | 130 | Sales | 2 | 2 | Marketing | 1 | 1125 | 4 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7351 | 20619 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 43 | No | Travel_Frequently | 1082 | Research & Development | 27 | 3 | Life Sciences | 1 | 1126 | 3 | Female | 83 | 3 | 3 | Manufacturing Director | 1 | Married | 10820 | 11535 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 1 | 3 | 8 | 7 | 0 | 1 |
| 39 | Yes | Travel_Frequently | 203 | Research & Development | 2 | 3 | Life Sciences | 1 | 1127 | 1 | Male | 84 | 3 | 4 | Healthcare Representative | 4 | Divorced | 12169 | 13547 | 7 | Y | No | 11 | 3 | 4 | 80 | 3 | 21 | 4 | 3 | 18 | 7 | 11 | 5 |
| 40 | No | Travel_Rarely | 1308 | Research & Development | 14 | 3 | Medical | 1 | 1128 | 3 | Male | 44 | 2 | 5 | Research Director | 3 | Single | 19626 | 17544 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 21 | 2 | 4 | 20 | 7 | 4 | 9 |
| 21 | No | Travel_Rarely | 984 | Research & Development | 1 | 1 | Technical Degree | 1 | 1131 | 4 | Female | 70 | 2 | 1 | Research Scientist | 2 | Single | 2070 | 25326 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 2 | 6 | 4 | 2 | 2 | 2 | 2 |
| 39 | No | Non-Travel | 439 | Research & Development | 9 | 3 | Life Sciences | 1 | 1132 | 3 | Male | 70 | 3 | 2 | Laboratory Technician | 2 | Single | 6782 | 8770 | 9 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 2 | 2 | 5 | 4 | 0 | 3 |
| 36 | No | Non-Travel | 217 | Research & Development | 18 | 4 | Life Sciences | 1 | 1133 | 1 | Male | 78 | 3 | 2 | Manufacturing Director | 4 | Single | 7779 | 23238 | 2 | Y | No | 20 | 4 | 1 | 80 | 0 | 18 | 0 | 3 | 11 | 9 | 0 | 9 |
| 31 | No | Travel_Frequently | 793 | Sales | 20 | 3 | Life Sciences | 1 | 1135 | 3 | Male | 67 | 4 | 1 | Sales Representative | 4 | Married | 2791 | 21981 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 3 | 4 | 3 | 2 | 2 | 2 | 2 |
| 28 | No | Travel_Rarely | 1451 | Research & Development | 2 | 1 | Life Sciences | 1 | 1136 | 1 | Male | 67 | 2 | 1 | Research Scientist | 2 | Married | 3201 | 19911 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
| 35 | No | Travel_Frequently | 1182 | Sales | 11 | 2 | Marketing | 1 | 1137 | 4 | Male | 54 | 3 | 2 | Sales Executive | 4 | Divorced | 4968 | 18500 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 5 | 3 | 3 | 5 | 2 | 0 | 2 |
| 49 | No | Travel_Rarely | 174 | Sales | 8 | 4 | Technical Degree | 1 | 1138 | 4 | Male | 56 | 2 | 4 | Sales Executive | 2 | Married | 13120 | 11879 | 6 | Y | No | 17 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 9 | 8 | 2 | 3 |
| 34 | No | Travel_Frequently | 1003 | Research & Development | 2 | 2 | Life Sciences | 1 | 1140 | 4 | Male | 95 | 3 | 2 | Manufacturing Director | 3 | Single | 4033 | 15834 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 3 | 2 | 0 | 2 |
| 29 | No | Travel_Frequently | 490 | Research & Development | 10 | 3 | Life Sciences | 1 | 1143 | 4 | Female | 61 | 3 | 1 | Research Scientist | 2 | Divorced | 3291 | 17940 | 0 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 2 | 7 | 5 | 1 | 1 |
| 42 | No | Travel_Rarely | 188 | Research & Development | 29 | 3 | Medical | 1 | 1148 | 2 | Male | 56 | 1 | 2 | Laboratory Technician | 4 | Single | 4272 | 9558 | 4 | Y | No | 19 | 3 | 1 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
| 29 | No | Travel_Rarely | 718 | Research & Development | 8 | 1 | Medical | 1 | 1150 | 2 | Male | 79 | 2 | 2 | Manufacturing Director | 4 | Married | 5056 | 17689 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 1 | 2 |
| 38 | No | Travel_Rarely | 433 | Human Resources | 1 | 3 | Human Resources | 1 | 1152 | 3 | Male | 37 | 4 | 1 | Human Resources | 3 | Married | 2844 | 6004 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 7 | 2 | 4 | 7 | 6 | 5 | 0 |
| 28 | No | Travel_Frequently | 773 | Research & Development | 6 | 3 | Life Sciences | 1 | 1154 | 3 | Male | 39 | 2 | 1 | Research Scientist | 3 | Divorced | 2703 | 22088 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 |
| 18 | Yes | Non-Travel | 247 | Research & Development | 8 | 1 | Medical | 1 | 1156 | 3 | Male | 80 | 3 | 1 | Laboratory Technician | 3 | Single | 1904 | 13556 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
| 33 | Yes | Travel_Rarely | 603 | Sales | 9 | 4 | Marketing | 1 | 1157 | 1 | Female | 77 | 3 | 2 | Sales Executive | 1 | Single | 8224 | 18385 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 0 | 3 |
| 41 | No | Travel_Rarely | 167 | Research & Development | 12 | 4 | Life Sciences | 1 | 1158 | 2 | Male | 46 | 3 | 1 | Laboratory Technician | 4 | Married | 4766 | 9051 | 3 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
| 31 | Yes | Travel_Frequently | 874 | Research & Development | 15 | 3 | Medical | 1 | 1160 | 3 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2610 | 6233 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
| 37 | No | Travel_Rarely | 367 | Research & Development | 25 | 2 | Medical | 1 | 1161 | 3 | Female | 52 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5731 | 17171 | 7 | Y | No | 13 | 3 | 3 | 80 | 2 | 9 | 2 | 3 | 6 | 2 | 1 | 3 |
| 27 | No | Travel_Rarely | 199 | Research & Development | 6 | 3 | Life Sciences | 1 | 1162 | 4 | Male | 55 | 2 | 1 | Research Scientist | 3 | Married | 2539 | 7950 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 4 | 0 | 3 | 4 | 2 | 2 | 2 |
| 34 | No | Travel_Rarely | 1400 | Sales | 9 | 1 | Life Sciences | 1 | 1163 | 2 | Female | 70 | 3 | 2 | Sales Executive | 3 | Married | 5714 | 5829 | 1 | Y | No | 20 | 4 | 1 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 3 |
| 35 | No | Travel_Rarely | 528 | Human Resources | 8 | 4 | Technical Degree | 1 | 1164 | 3 | Male | 100 | 3 | 1 | Human Resources | 3 | Single | 4323 | 7108 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 6 | 2 | 1 | 5 | 4 | 1 | 4 |
| 29 | Yes | Travel_Rarely | 408 | Sales | 23 | 1 | Life Sciences | 1 | 1165 | 4 | Female | 45 | 2 | 3 | Sales Executive | 1 | Married | 7336 | 11162 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 11 | 3 | 1 | 11 | 8 | 3 | 10 |
| 40 | No | Travel_Frequently | 593 | Research & Development | 9 | 4 | Medical | 1 | 1166 | 2 | Female | 88 | 3 | 3 | Research Director | 3 | Single | 13499 | 13782 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 20 | 3 | 2 | 18 | 7 | 2 | 13 |
| 42 | Yes | Travel_Frequently | 481 | Sales | 12 | 3 | Life Sciences | 1 | 1167 | 3 | Male | 44 | 3 | 4 | Sales Executive | 1 | Single | 13758 | 2447 | 0 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 22 | 2 | 2 | 21 | 9 | 13 | 14 |
| 42 | No | Travel_Rarely | 647 | Sales | 4 | 4 | Marketing | 1 | 1171 | 2 | Male | 45 | 3 | 2 | Sales Executive | 1 | Single | 5155 | 2253 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 3 | 4 | 6 | 4 | 1 | 5 |
| 35 | No | Travel_Rarely | 982 | Research & Development | 1 | 4 | Medical | 1 | 1172 | 4 | Male | 58 | 2 | 1 | Laboratory Technician | 3 | Married | 2258 | 16340 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 8 | 0 | 1 | 7 |
| 24 | No | Travel_Rarely | 477 | Research & Development | 24 | 3 | Medical | 1 | 1173 | 4 | Male | 49 | 3 | 1 | Laboratory Technician | 2 | Single | 3597 | 6409 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
| 28 | Yes | Travel_Rarely | 1485 | Research & Development | 12 | 1 | Life Sciences | 1 | 1175 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 4 | Married | 2515 | 22955 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 4 | 2 | 1 | 1 | 0 | 0 |
| 26 | No | Travel_Rarely | 1384 | Research & Development | 3 | 4 | Medical | 1 | 1177 | 1 | Male | 82 | 4 | 1 | Laboratory Technician | 4 | Married | 4420 | 13421 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 0 | 7 |
| 30 | No | Travel_Rarely | 852 | Sales | 10 | 3 | Marketing | 1 | 1179 | 3 | Male | 72 | 2 | 2 | Sales Executive | 3 | Married | 6578 | 2706 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 3 | 1 | 4 |
| 40 | No | Travel_Frequently | 902 | Research & Development | 26 | 2 | Medical | 1 | 1180 | 3 | Female | 92 | 2 | 2 | Research Scientist | 4 | Married | 4422 | 21203 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 16 | 3 | 1 | 1 | 1 | 0 | 0 |
| 35 | No | Travel_Rarely | 819 | Research & Development | 2 | 3 | Life Sciences | 1 | 1182 | 3 | Male | 44 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10274 | 19588 | 2 | Y | No | 18 | 3 | 2 | 80 | 1 | 15 | 2 | 4 | 7 | 7 | 6 | 4 |
| 34 | No | Travel_Frequently | 669 | Research & Development | 1 | 3 | Medical | 1 | 1184 | 4 | Male | 97 | 2 | 2 | Healthcare Representative | 1 | Single | 5343 | 25755 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 14 | 3 | 3 | 13 | 9 | 4 | 9 |
| 35 | No | Travel_Frequently | 636 | Research & Development | 4 | 4 | Other | 1 | 1185 | 4 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Married | 2376 | 26537 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 2 | 2 | 4 | 2 | 2 | 2 | 2 |
| 43 | Yes | Travel_Rarely | 1372 | Sales | 9 | 3 | Marketing | 1 | 1188 | 1 | Female | 85 | 1 | 2 | Sales Executive | 3 | Single | 5346 | 9489 | 8 | Y | No | 13 | 3 | 2 | 80 | 0 | 7 | 2 | 2 | 4 | 3 | 1 | 3 |
| 32 | No | Non-Travel | 862 | Sales | 2 | 1 | Life Sciences | 1 | 1190 | 3 | Female | 76 | 3 | 1 | Sales Representative | 1 | Divorced | 2827 | 14947 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 56 | No | Travel_Rarely | 718 | Research & Development | 4 | 4 | Technical Degree | 1 | 1191 | 4 | Female | 92 | 3 | 5 | Manager | 1 | Divorced | 19943 | 18575 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 28 | 2 | 3 | 5 | 2 | 4 | 2 |
| 29 | No | Travel_Rarely | 1401 | Research & Development | 6 | 1 | Medical | 1 | 1192 | 2 | Female | 54 | 3 | 1 | Laboratory Technician | 4 | Married | 3131 | 26342 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 5 | 3 | 10 | 8 | 0 | 8 |
| 19 | No | Travel_Rarely | 645 | Research & Development | 9 | 2 | Life Sciences | 1 | 1193 | 3 | Male | 54 | 3 | 1 | Research Scientist | 1 | Single | 2552 | 7172 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 0 | 0 |
| 45 | No | Travel_Rarely | 1457 | Research & Development | 7 | 3 | Medical | 1 | 1195 | 1 | Female | 83 | 3 | 1 | Research Scientist | 3 | Married | 4477 | 20100 | 4 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
| 37 | No | Travel_Rarely | 977 | Research & Development | 1 | 3 | Life Sciences | 1 | 1196 | 4 | Female | 56 | 2 | 2 | Manufacturing Director | 4 | Married | 6474 | 9961 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 14 | 8 | 3 | 11 |
| 20 | No | Travel_Rarely | 805 | Research & Development | 3 | 3 | Life Sciences | 1 | 1198 | 1 | Male | 87 | 2 | 1 | Laboratory Technician | 3 | Single | 3033 | 12828 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 2 | 2 | 2 | 2 | 2 | 1 | 2 |
| 44 | Yes | Travel_Rarely | 1097 | Research & Development | 10 | 4 | Life Sciences | 1 | 1200 | 3 | Male | 96 | 3 | 1 | Research Scientist | 3 | Single | 2936 | 10826 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 4 | 3 | 6 | 4 | 0 | 2 |
| 53 | No | Travel_Rarely | 1223 | Research & Development | 7 | 2 | Medical | 1 | 1201 | 4 | Female | 50 | 3 | 5 | Manager | 3 | Divorced | 18606 | 18640 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 26 | 6 | 3 | 7 | 7 | 4 | 7 |
| 29 | No | Travel_Rarely | 942 | Research & Development | 15 | 1 | Life Sciences | 1 | 1202 | 2 | Female | 69 | 1 | 1 | Research Scientist | 4 | Married | 2168 | 26933 | 0 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 5 | 4 | 1 | 3 |
| 22 | Yes | Travel_Frequently | 1256 | Research & Development | 3 | 4 | Life Sciences | 1 | 1203 | 3 | Male | 48 | 2 | 1 | Research Scientist | 4 | Married | 2853 | 4223 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
| 46 | No | Travel_Rarely | 1402 | Sales | 2 | 3 | Marketing | 1 | 1204 | 3 | Female | 69 | 3 | 4 | Manager | 1 | Married | 17048 | 24097 | 8 | Y | No | 23 | 4 | 1 | 80 | 0 | 28 | 2 | 3 | 26 | 15 | 15 | 9 |
| 44 | No | Non-Travel | 111 | Research & Development | 17 | 3 | Life Sciences | 1 | 1206 | 4 | Male | 74 | 1 | 1 | Research Scientist | 3 | Single | 2290 | 4279 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
| 33 | No | Travel_Rarely | 147 | Human Resources | 2 | 3 | Human Resources | 1 | 1207 | 2 | Male | 99 | 3 | 1 | Human Resources | 3 | Married | 3600 | 8429 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 4 |
| 41 | Yes | Non-Travel | 906 | Research & Development | 5 | 2 | Life Sciences | 1 | 1210 | 1 | Male | 95 | 2 | 1 | Research Scientist | 1 | Divorced | 2107 | 20293 | 6 | Y | No | 17 | 3 | 1 | 80 | 1 | 5 | 2 | 1 | 1 | 0 | 0 | 0 |
| 30 | No | Travel_Rarely | 1329 | Sales | 29 | 4 | Life Sciences | 1 | 1211 | 3 | Male | 61 | 3 | 2 | Sales Executive | 1 | Divorced | 4115 | 13192 | 8 | Y | No | 19 | 3 | 3 | 80 | 3 | 8 | 3 | 3 | 4 | 3 | 0 | 3 |
| 40 | No | Travel_Frequently | 1184 | Sales | 2 | 4 | Medical | 1 | 1212 | 2 | Male | 62 | 3 | 2 | Sales Executive | 2 | Married | 4327 | 25440 | 5 | Y | No | 12 | 3 | 4 | 80 | 3 | 5 | 2 | 3 | 0 | 0 | 0 | 0 |
| 50 | No | Travel_Frequently | 1421 | Research & Development | 2 | 3 | Medical | 1 | 1215 | 4 | Female | 30 | 3 | 4 | Manager | 1 | Married | 17856 | 9490 | 2 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 2 | 2 | 2 | 2 |
| 28 | No | Travel_Rarely | 1179 | Research & Development | 19 | 4 | Medical | 1 | 1216 | 4 | Male | 78 | 2 | 1 | Laboratory Technician | 1 | Married | 3196 | 12449 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 3 | 6 | 5 | 3 | 3 |
| 46 | No | Travel_Rarely | 1450 | Research & Development | 15 | 2 | Life Sciences | 1 | 1217 | 4 | Male | 52 | 3 | 5 | Research Director | 2 | Married | 19081 | 10849 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 25 | 2 | 3 | 4 | 2 | 0 | 3 |
| 35 | No | Travel_Rarely | 1361 | Sales | 17 | 4 | Life Sciences | 1 | 1218 | 3 | Male | 94 | 3 | 2 | Sales Executive | 1 | Married | 8966 | 21026 | 3 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 15 | 2 | 3 | 7 | 7 | 1 | 7 |
| 24 | Yes | Travel_Rarely | 984 | Research & Development | 17 | 2 | Life Sciences | 1 | 1219 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 2210 | 3372 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
| 33 | No | Travel_Frequently | 1146 | Sales | 25 | 3 | Medical | 1 | 1220 | 2 | Female | 82 | 3 | 2 | Sales Executive | 3 | Married | 4539 | 4905 | 1 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 7 | 0 | 1 |
| 36 | No | Travel_Rarely | 917 | Research & Development | 6 | 4 | Life Sciences | 1 | 1221 | 3 | Male | 60 | 1 | 1 | Laboratory Technician | 3 | Divorced | 2741 | 6865 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 4 | 3 | 7 | 7 | 1 | 7 |
| 30 | No | Travel_Rarely | 853 | Research & Development | 7 | 4 | Life Sciences | 1 | 1224 | 3 | Male | 49 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3491 | 11309 | 1 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 4 | 2 | 10 | 7 | 8 | 9 |
| 44 | No | Travel_Rarely | 200 | Research & Development | 29 | 4 | Other | 1 | 1225 | 4 | Male | 32 | 3 | 2 | Research Scientist | 4 | Single | 4541 | 7744 | 1 | Y | No | 25 | 4 | 2 | 80 | 0 | 20 | 3 | 3 | 20 | 11 | 13 | 17 |
| 20 | No | Travel_Rarely | 654 | Sales | 21 | 3 | Marketing | 1 | 1226 | 3 | Male | 43 | 4 | 1 | Sales Representative | 4 | Single | 2678 | 5050 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 2 | 3 | 2 | 1 | 2 | 2 |
| 46 | No | Travel_Rarely | 150 | Research & Development | 2 | 4 | Technical Degree | 1 | 1228 | 4 | Male | 60 | 3 | 2 | Manufacturing Director | 4 | Divorced | 7379 | 17433 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 12 | 3 | 2 | 6 | 3 | 1 | 4 |
| 42 | No | Non-Travel | 179 | Human Resources | 2 | 5 | Medical | 1 | 1231 | 4 | Male | 79 | 4 | 2 | Human Resources | 1 | Married | 6272 | 12858 | 7 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 3 | 4 | 4 | 3 | 0 | 3 |
| 60 | No | Travel_Rarely | 696 | Sales | 7 | 4 | Marketing | 1 | 1233 | 2 | Male | 52 | 4 | 2 | Sales Executive | 4 | Divorced | 5220 | 10893 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 7 | 1 | 9 |
| 32 | No | Travel_Frequently | 116 | Research & Development | 13 | 3 | Other | 1 | 1234 | 3 | Female | 77 | 2 | 1 | Laboratory Technician | 2 | Married | 2743 | 7331 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 32 | No | Travel_Frequently | 1316 | Research & Development | 2 | 2 | Life Sciences | 1 | 1235 | 4 | Female | 38 | 3 | 2 | Research Scientist | 3 | Single | 4998 | 2338 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 7 |
| 36 | No | Travel_Rarely | 363 | Research & Development | 1 | 3 | Technical Degree | 1 | 1237 | 3 | Female | 77 | 1 | 3 | Manufacturing Director | 1 | Divorced | 10252 | 4235 | 2 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 17 | 2 | 3 | 7 | 7 | 7 | 7 |
| 33 | No | Travel_Rarely | 117 | Research & Development | 9 | 3 | Medical | 1 | 1238 | 1 | Male | 60 | 3 | 1 | Research Scientist | 4 | Married | 2781 | 6311 | 0 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 5 | 3 | 14 | 10 | 4 | 10 |
| 40 | No | Travel_Rarely | 107 | Sales | 10 | 3 | Technical Degree | 1 | 1239 | 2 | Female | 84 | 2 | 2 | Sales Executive | 2 | Divorced | 6852 | 11591 | 7 | Y | No | 12 | 3 | 2 | 80 | 1 | 7 | 2 | 4 | 5 | 1 | 1 | 3 |
| 25 | No | Travel_Rarely | 1356 | Sales | 10 | 4 | Life Sciences | 1 | 1240 | 3 | Male | 57 | 3 | 2 | Sales Executive | 4 | Single | 4950 | 20623 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 4 | 3 | 4 | 3 | 1 | 1 |
| 30 | No | Travel_Rarely | 1465 | Research & Development | 1 | 3 | Medical | 1 | 1241 | 4 | Male | 63 | 3 | 1 | Research Scientist | 2 | Married | 3579 | 9369 | 0 | Y | Yes | 21 | 4 | 1 | 80 | 1 | 12 | 2 | 3 | 11 | 9 | 5 | 7 |
| 42 | No | Travel_Frequently | 458 | Research & Development | 26 | 5 | Medical | 1 | 1242 | 1 | Female | 60 | 3 | 3 | Research Director | 1 | Married | 13191 | 23281 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 20 | 6 | 3 | 1 | 0 | 0 | 0 |
| 35 | No | Non-Travel | 1212 | Sales | 8 | 2 | Marketing | 1 | 1243 | 3 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10377 | 13755 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 16 | 6 | 2 | 13 | 2 | 4 | 12 |
| 27 | No | Travel_Rarely | 1103 | Research & Development | 14 | 3 | Life Sciences | 1 | 1244 | 1 | Male | 42 | 3 | 1 | Research Scientist | 1 | Married | 2235 | 14377 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 2 | 9 | 7 | 6 | 8 |
| 54 | No | Travel_Frequently | 966 | Research & Development | 1 | 4 | Life Sciences | 1 | 1245 | 4 | Female | 53 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10502 | 9659 | 7 | Y | No | 17 | 3 | 1 | 80 | 1 | 33 | 2 | 1 | 5 | 4 | 1 | 4 |
| 44 | No | Travel_Rarely | 1117 | Research & Development | 2 | 1 | Life Sciences | 1 | 1246 | 1 | Female | 72 | 4 | 1 | Research Scientist | 4 | Married | 2011 | 19982 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 5 | 7 | 7 |
| 19 | Yes | Non-Travel | 504 | Research & Development | 10 | 3 | Medical | 1 | 1248 | 1 | Female | 96 | 2 | 1 | Research Scientist | 2 | Single | 1859 | 6148 | 1 | Y | Yes | 25 | 4 | 2 | 80 | 0 | 1 | 2 | 4 | 1 | 1 | 0 | 0 |
| 29 | No | Travel_Rarely | 1010 | Research & Development | 1 | 3 | Life Sciences | 1 | 1249 | 1 | Female | 97 | 3 | 1 | Research Scientist | 4 | Divorced | 3760 | 5598 | 1 | Y | No | 15 | 3 | 1 | 80 | 3 | 3 | 5 | 3 | 3 | 2 | 1 | 2 |
| 54 | No | Travel_Rarely | 685 | Research & Development | 3 | 3 | Life Sciences | 1 | 1250 | 4 | Male | 85 | 3 | 4 | Research Director | 4 | Married | 17779 | 23474 | 3 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 2 | 3 | 10 | 9 | 0 | 9 |
| 31 | No | Travel_Rarely | 1332 | Research & Development | 11 | 2 | Medical | 1 | 1251 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 1 | Married | 6833 | 17089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 6 | 5 | 0 | 1 |
| 31 | No | Travel_Rarely | 1062 | Research & Development | 24 | 3 | Medical | 1 | 1252 | 3 | Female | 96 | 2 | 2 | Healthcare Representative | 1 | Single | 6812 | 17198 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 10 | 9 | 1 | 8 |
| 59 | No | Travel_Rarely | 326 | Sales | 3 | 3 | Life Sciences | 1 | 1254 | 3 | Female | 48 | 2 | 2 | Sales Executive | 4 | Single | 5171 | 16490 | 5 | Y | No | 17 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 6 | 1 | 0 | 5 |
| 43 | No | Travel_Rarely | 920 | Research & Development | 3 | 3 | Life Sciences | 1 | 1255 | 3 | Male | 96 | 1 | 5 | Research Director | 4 | Married | 19740 | 18625 | 3 | Y | No | 14 | 3 | 2 | 80 | 1 | 25 | 2 | 3 | 8 | 7 | 0 | 7 |
| 49 | No | Travel_Rarely | 1098 | Research & Development | 4 | 2 | Medical | 1 | 1256 | 1 | Male | 85 | 2 | 5 | Manager | 3 | Married | 18711 | 12124 | 2 | Y | No | 13 | 3 | 3 | 80 | 1 | 23 | 2 | 4 | 1 | 0 | 0 | 0 |
| 36 | No | Travel_Frequently | 469 | Research & Development | 3 | 3 | Technical Degree | 1 | 1257 | 3 | Male | 46 | 3 | 1 | Research Scientist | 2 | Married | 3692 | 9256 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 10 | 0 | 7 |
| 48 | No | Travel_Rarely | 969 | Research & Development | 2 | 2 | Technical Degree | 1 | 1258 | 4 | Male | 76 | 4 | 1 | Laboratory Technician | 2 | Single | 2559 | 16620 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 4 | 2 | 1 | 0 | 0 | 0 |
| 27 | No | Travel_Rarely | 1167 | Research & Development | 4 | 2 | Life Sciences | 1 | 1259 | 1 | Male | 76 | 3 | 1 | Research Scientist | 3 | Divorced | 2517 | 3208 | 1 | Y | No | 11 | 3 | 2 | 80 | 3 | 5 | 2 | 3 | 5 | 3 | 0 | 3 |
| 29 | No | Travel_Rarely | 1329 | Research & Development | 7 | 3 | Life Sciences | 1 | 1260 | 3 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6623 | 4204 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 2 | 3 | 6 | 0 | 1 | 0 |
| 48 | No | Travel_Rarely | 715 | Research & Development | 1 | 3 | Life Sciences | 1 | 1263 | 4 | Male | 76 | 2 | 5 | Research Director | 4 | Single | 18265 | 8733 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 25 | 3 | 4 | 1 | 0 | 0 | 0 |
| 29 | No | Travel_Rarely | 694 | Research & Development | 1 | 3 | Life Sciences | 1 | 1264 | 4 | Female | 87 | 2 | 4 | Research Director | 4 | Divorced | 16124 | 3423 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 2 | 7 | 7 | 1 | 7 |
| 34 | No | Travel_Rarely | 1320 | Research & Development | 20 | 3 | Technical Degree | 1 | 1265 | 3 | Female | 89 | 4 | 1 | Research Scientist | 3 | Married | 2585 | 21643 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 5 | 2 | 1 | 0 | 0 | 0 |
| 44 | No | Travel_Rarely | 1099 | Sales | 5 | 3 | Marketing | 1 | 1267 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Married | 18213 | 8751 | 7 | Y | No | 11 | 3 | 3 | 80 | 1 | 26 | 5 | 3 | 22 | 9 | 3 | 10 |
| 33 | No | Travel_Rarely | 536 | Sales | 10 | 5 | Marketing | 1 | 1268 | 4 | Male | 82 | 4 | 3 | Sales Executive | 3 | Divorced | 8380 | 21708 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 3 | 3 | 9 | 8 | 0 | 8 |
| 19 | No | Travel_Rarely | 265 | Research & Development | 25 | 3 | Life Sciences | 1 | 1269 | 2 | Female | 57 | 4 | 1 | Research Scientist | 4 | Single | 2994 | 21221 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 23 | No | Travel_Rarely | 373 | Research & Development | 1 | 2 | Life Sciences | 1 | 1270 | 4 | Male | 47 | 3 | 1 | Research Scientist | 3 | Married | 1223 | 16901 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 25 | Yes | Travel_Frequently | 599 | Sales | 24 | 1 | Life Sciences | 1 | 1273 | 3 | Male | 73 | 1 | 1 | Sales Representative | 4 | Single | 1118 | 8040 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 1 | 4 | 3 | 1 | 0 | 1 | 0 |
| 26 | No | Travel_Rarely | 583 | Research & Development | 4 | 2 | Life Sciences | 1 | 1275 | 3 | Male | 53 | 3 | 1 | Research Scientist | 4 | Single | 2875 | 9973 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 8 | 2 | 2 | 8 | 5 | 2 | 2 |
| 45 | Yes | Travel_Rarely | 1449 | Sales | 2 | 3 | Marketing | 1 | 1277 | 1 | Female | 94 | 1 | 5 | Manager | 2 | Single | 18824 | 2493 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 0 | 26 | 2 | 3 | 24 | 10 | 1 | 11 |
| 55 | No | Non-Travel | 177 | Research & Development | 8 | 1 | Medical | 1 | 1278 | 4 | Male | 37 | 2 | 4 | Healthcare Representative | 2 | Divorced | 13577 | 25592 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 34 | 3 | 3 | 33 | 9 | 15 | 0 |
| 21 | Yes | Travel_Frequently | 251 | Research & Development | 10 | 2 | Life Sciences | 1 | 1279 | 1 | Female | 45 | 2 | 1 | Laboratory Technician | 3 | Single | 2625 | 25308 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 2 | 2 | 1 | 2 | 2 | 2 | 2 |
| 46 | No | Travel_Rarely | 168 | Sales | 4 | 2 | Marketing | 1 | 1280 | 4 | Female | 33 | 2 | 5 | Manager | 2 | Married | 18789 | 9946 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 26 | 2 | 3 | 11 | 4 | 0 | 8 |
| 34 | No | Travel_Rarely | 131 | Sales | 2 | 3 | Marketing | 1 | 1281 | 3 | Female | 86 | 3 | 2 | Sales Executive | 1 | Single | 4538 | 6039 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 51 | No | Travel_Frequently | 237 | Sales | 9 | 3 | Life Sciences | 1 | 1282 | 4 | Male | 83 | 3 | 5 | Manager | 2 | Divorced | 19847 | 19196 | 4 | Y | Yes | 24 | 4 | 1 | 80 | 1 | 31 | 5 | 2 | 29 | 10 | 11 | 10 |
| 59 | No | Travel_Rarely | 1429 | Research & Development | 18 | 4 | Medical | 1 | 1283 | 4 | Male | 67 | 3 | 3 | Manufacturing Director | 4 | Single | 10512 | 20002 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 25 | 6 | 2 | 9 | 7 | 5 | 4 |
| 34 | No | Travel_Frequently | 135 | Research & Development | 19 | 3 | Medical | 1 | 1285 | 3 | Female | 46 | 3 | 2 | Laboratory Technician | 2 | Divorced | 4444 | 22534 | 4 | Y | No | 13 | 3 | 3 | 80 | 2 | 15 | 2 | 4 | 11 | 8 | 5 | 10 |
| 28 | No | Travel_Frequently | 791 | Research & Development | 1 | 4 | Medical | 1 | 1286 | 4 | Male | 44 | 3 | 1 | Laboratory Technician | 3 | Single | 2154 | 6842 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 0 | 2 |
| 44 | No | Travel_Rarely | 1199 | Research & Development | 4 | 2 | Life Sciences | 1 | 1288 | 3 | Male | 92 | 4 | 5 | Manager | 1 | Divorced | 19190 | 17477 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 26 | 4 | 2 | 25 | 9 | 14 | 13 |
| 34 | No | Travel_Frequently | 648 | Human Resources | 11 | 3 | Life Sciences | 1 | 1289 | 3 | Male | 56 | 2 | 2 | Human Resources | 2 | Married | 4490 | 21833 | 4 | Y | No | 11 | 3 | 4 | 80 | 2 | 14 | 5 | 4 | 10 | 9 | 1 | 8 |
| 35 | No | Travel_Rarely | 735 | Research & Development | 6 | 1 | Life Sciences | 1 | 1291 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 3506 | 6020 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 2 | 2 |
| 42 | No | Travel_Rarely | 603 | Research & Development | 7 | 4 | Medical | 1 | 1292 | 2 | Female | 78 | 4 | 2 | Research Scientist | 2 | Married | 2372 | 5628 | 6 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 1 | 0 | 0 | 0 |
| 43 | No | Travel_Rarely | 531 | Sales | 4 | 4 | Marketing | 1 | 1293 | 4 | Female | 56 | 2 | 3 | Sales Executive | 4 | Single | 10231 | 20364 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 23 | 3 | 4 | 21 | 7 | 15 | 17 |
| 36 | No | Travel_Rarely | 429 | Research & Development | 2 | 4 | Life Sciences | 1 | 1294 | 3 | Female | 53 | 3 | 2 | Manufacturing Director | 2 | Single | 5410 | 2323 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 16 | 14 | 5 | 12 |
| 44 | Yes | Travel_Rarely | 621 | Research & Development | 15 | 3 | Medical | 1 | 1295 | 1 | Female | 73 | 3 | 3 | Healthcare Representative | 4 | Married | 7978 | 14075 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 5 |
| 28 | No | Travel_Frequently | 193 | Research & Development | 2 | 3 | Life Sciences | 1 | 1296 | 4 | Male | 52 | 2 | 1 | Laboratory Technician | 4 | Married | 3867 | 14222 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 51 | No | Travel_Frequently | 968 | Research & Development | 6 | 2 | Medical | 1 | 1297 | 2 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Single | 2838 | 4257 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 2 | 7 | 0 | 7 | 7 |
| 30 | No | Non-Travel | 879 | Research & Development | 9 | 2 | Medical | 1 | 1298 | 3 | Female | 72 | 3 | 2 | Manufacturing Director | 3 | Single | 4695 | 12858 | 7 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 8 | 4 | 1 | 7 |
| 29 | Yes | Travel_Rarely | 806 | Research & Development | 7 | 3 | Technical Degree | 1 | 1299 | 2 | Female | 39 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3339 | 17285 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 7 | 7 | 7 | 7 |
| 28 | No | Travel_Rarely | 640 | Research & Development | 1 | 3 | Technical Degree | 1 | 1301 | 4 | Male | 84 | 3 | 1 | Research Scientist | 1 | Single | 2080 | 4732 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
| 25 | No | Travel_Rarely | 266 | Research & Development | 1 | 3 | Medical | 1 | 1303 | 4 | Female | 40 | 3 | 1 | Research Scientist | 2 | Single | 2096 | 18830 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 1 |
| 32 | No | Travel_Rarely | 604 | Sales | 8 | 3 | Medical | 1 | 1304 | 3 | Male | 56 | 4 | 2 | Sales Executive | 4 | Married | 6209 | 11693 | 1 | Y | No | 15 | 3 | 3 | 80 | 2 | 10 | 4 | 4 | 10 | 7 | 0 | 8 |
| 45 | No | Travel_Frequently | 364 | Research & Development | 25 | 3 | Medical | 1 | 1306 | 2 | Female | 83 | 3 | 5 | Manager | 2 | Single | 18061 | 13035 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 22 | 4 | 3 | 0 | 0 | 0 | 0 |
| 39 | No | Travel_Rarely | 412 | Research & Development | 13 | 4 | Medical | 1 | 1307 | 3 | Female | 94 | 2 | 4 | Manager | 2 | Divorced | 17123 | 17334 | 6 | Y | Yes | 13 | 3 | 4 | 80 | 2 | 21 | 4 | 3 | 19 | 9 | 15 | 2 |
| 58 | No | Travel_Rarely | 848 | Research & Development | 23 | 4 | Life Sciences | 1 | 1308 | 1 | Male | 88 | 3 | 1 | Research Scientist | 3 | Divorced | 2372 | 26076 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 32 | Yes | Travel_Rarely | 1089 | Research & Development | 7 | 2 | Life Sciences | 1 | 1309 | 4 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 4883 | 22845 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 4 | 1 | 1 |
| 39 | Yes | Travel_Rarely | 360 | Research & Development | 23 | 3 | Medical | 1 | 1310 | 3 | Male | 93 | 3 | 1 | Research Scientist | 1 | Single | 3904 | 22154 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 5 | 2 | 0 | 3 |
| 30 | No | Travel_Rarely | 1138 | Research & Development | 6 | 3 | Technical Degree | 1 | 1311 | 1 | Female | 48 | 2 | 2 | Laboratory Technician | 4 | Married | 4627 | 23631 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 2 | 6 | 7 |
| 36 | No | Travel_Rarely | 325 | Research & Development | 10 | 4 | Technical Degree | 1 | 1312 | 4 | Female | 63 | 3 | 3 | Healthcare Representative | 3 | Married | 7094 | 5747 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 0 | 3 | 7 | 7 | 1 | 7 |
| 46 | No | Travel_Rarely | 991 | Human Resources | 1 | 2 | Life Sciences | 1 | 1314 | 4 | Female | 44 | 3 | 1 | Human Resources | 1 | Single | 3423 | 22957 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 3 | 4 | 7 | 6 | 5 | 7 |
| 28 | No | Non-Travel | 1476 | Research & Development | 1 | 3 | Life Sciences | 1 | 1315 | 3 | Female | 55 | 1 | 2 | Laboratory Technician | 4 | Married | 6674 | 16392 | 0 | Y | No | 11 | 3 | 1 | 80 | 3 | 10 | 6 | 3 | 9 | 8 | 7 | 5 |
| 50 | No | Travel_Rarely | 1322 | Research & Development | 28 | 3 | Life Sciences | 1 | 1317 | 4 | Female | 43 | 3 | 4 | Research Director | 1 | Married | 16880 | 22422 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 25 | 2 | 3 | 3 | 2 | 1 | 2 |
| 40 | Yes | Travel_Rarely | 299 | Sales | 25 | 4 | Marketing | 1 | 1318 | 4 | Male | 57 | 2 | 3 | Sales Executive | 2 | Single | 9094 | 17235 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 5 | 4 | 1 | 0 |
| 52 | Yes | Travel_Rarely | 1030 | Sales | 5 | 3 | Life Sciences | 1 | 1319 | 2 | Male | 64 | 3 | 3 | Sales Executive | 2 | Single | 8446 | 21534 | 9 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
| 30 | No | Travel_Rarely | 634 | Research & Development | 17 | 4 | Medical | 1 | 1321 | 2 | Female | 95 | 3 | 3 | Manager | 1 | Married | 11916 | 25927 | 1 | Y | Yes | 23 | 4 | 4 | 80 | 2 | 9 | 2 | 3 | 9 | 1 | 0 | 8 |
| 39 | No | Travel_Rarely | 524 | Research & Development | 18 | 2 | Life Sciences | 1 | 1322 | 1 | Male | 32 | 3 | 2 | Manufacturing Director | 3 | Single | 4534 | 13352 | 0 | Y | No | 11 | 3 | 1 | 80 | 0 | 9 | 6 | 3 | 8 | 7 | 1 | 7 |
| 31 | No | Non-Travel | 587 | Sales | 2 | 4 | Life Sciences | 1 | 1324 | 4 | Female | 57 | 3 | 3 | Sales Executive | 3 | Divorced | 9852 | 8935 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 5 | 2 | 10 | 8 | 9 | 6 |
| 41 | No | Non-Travel | 256 | Sales | 10 | 2 | Medical | 1 | 1329 | 3 | Male | 40 | 1 | 2 | Sales Executive | 2 | Single | 6151 | 22074 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 19 | 4 | 3 | 19 | 2 | 11 | 9 |
| 31 | Yes | Travel_Frequently | 1060 | Sales | 1 | 3 | Life Sciences | 1 | 1331 | 4 | Female | 54 | 3 | 1 | Sales Representative | 2 | Single | 2302 | 8319 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 3 | 2 | 4 | 3 | 2 | 2 | 2 |
| 44 | Yes | Travel_Rarely | 935 | Research & Development | 3 | 3 | Life Sciences | 1 | 1333 | 1 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Married | 2362 | 14669 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 4 | 4 | 3 | 2 | 1 | 2 |
| 42 | No | Non-Travel | 495 | Research & Development | 2 | 1 | Life Sciences | 1 | 1334 | 3 | Male | 37 | 3 | 4 | Manager | 3 | Married | 17861 | 26582 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 21 | 3 | 2 | 20 | 8 | 2 | 10 |
| 55 | No | Travel_Rarely | 282 | Research & Development | 2 | 2 | Medical | 1 | 1336 | 4 | Female | 58 | 1 | 5 | Manager | 3 | Married | 19187 | 6992 | 4 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 5 | 3 | 19 | 9 | 9 | 11 |
| 56 | No | Travel_Rarely | 206 | Human Resources | 8 | 4 | Life Sciences | 1 | 1338 | 4 | Male | 99 | 3 | 5 | Manager | 2 | Single | 19717 | 4022 | 6 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 4 | 3 | 7 | 3 | 7 | 7 |
| 40 | No | Non-Travel | 458 | Research & Development | 16 | 2 | Life Sciences | 1 | 1340 | 3 | Male | 74 | 3 | 1 | Research Scientist | 3 | Divorced | 3544 | 8532 | 9 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 0 | 3 | 4 | 2 | 0 | 0 |
| 34 | No | Travel_Rarely | 943 | Research & Development | 9 | 3 | Life Sciences | 1 | 1344 | 4 | Male | 86 | 3 | 3 | Healthcare Representative | 4 | Divorced | 8500 | 5494 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 0 | 2 | 9 | 7 | 1 | 6 |
| 40 | No | Travel_Rarely | 523 | Research & Development | 2 | 3 | Life Sciences | 1 | 1346 | 3 | Male | 98 | 3 | 2 | Research Scientist | 4 | Single | 4661 | 22455 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 9 | 4 | 3 | 9 | 8 | 8 | 8 |
| 41 | No | Travel_Frequently | 1018 | Sales | 1 | 3 | Marketing | 1 | 1349 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Divorced | 4103 | 4297 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 3 | 1 | 7 |
| 35 | No | Travel_Frequently | 482 | Research & Development | 4 | 4 | Life Sciences | 1 | 1350 | 3 | Male | 87 | 3 | 2 | Research Scientist | 3 | Single | 4249 | 2690 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 9 | 6 | 1 | 1 |
| 51 | No | Travel_Rarely | 770 | Human Resources | 5 | 3 | Life Sciences | 1 | 1352 | 3 | Male | 84 | 3 | 4 | Manager | 2 | Divorced | 14026 | 17588 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 33 | 2 | 3 | 33 | 9 | 0 | 10 |
| 38 | No | Travel_Rarely | 1009 | Sales | 2 | 2 | Life Sciences | 1 | 1355 | 2 | Female | 31 | 3 | 2 | Sales Executive | 1 | Divorced | 6893 | 19461 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 7 | 7 | 1 | 7 |
| 34 | No | Travel_Rarely | 507 | Sales | 15 | 2 | Medical | 1 | 1356 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Single | 6125 | 23553 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 6 | 4 | 10 | 8 | 9 | 6 |
| 25 | No | Travel_Rarely | 882 | Research & Development | 19 | 1 | Medical | 1 | 1358 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 4 | Married | 3669 | 9075 | 3 | Y | No | 11 | 3 | 3 | 80 | 3 | 7 | 6 | 2 | 3 | 2 | 1 | 2 |
| 58 | Yes | Travel_Rarely | 601 | Research & Development | 7 | 4 | Medical | 1 | 1360 | 3 | Female | 53 | 2 | 3 | Manufacturing Director | 1 | Married | 10008 | 12023 | 7 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 31 | 0 | 2 | 10 | 9 | 5 | 9 |
| 40 | No | Travel_Rarely | 329 | Research & Development | 1 | 4 | Life Sciences | 1 | 1361 | 2 | Male | 88 | 3 | 1 | Laboratory Technician | 2 | Married | 2387 | 6762 | 3 | Y | No | 22 | 4 | 3 | 80 | 1 | 7 | 3 | 3 | 4 | 2 | 0 | 3 |
| 36 | No | Travel_Frequently | 607 | Sales | 7 | 3 | Marketing | 1 | 1362 | 1 | Female | 83 | 4 | 2 | Sales Executive | 1 | Married | 4639 | 2261 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 17 | 2 | 2 | 15 | 7 | 6 | 13 |
| 48 | No | Travel_Rarely | 855 | Research & Development | 4 | 3 | Life Sciences | 1 | 1363 | 4 | Male | 54 | 3 | 3 | Manufacturing Director | 4 | Single | 7898 | 18706 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 10 | 9 | 0 | 8 |
| 27 | No | Travel_Rarely | 1291 | Sales | 11 | 3 | Medical | 1 | 1364 | 3 | Female | 98 | 4 | 1 | Sales Representative | 4 | Married | 2534 | 6527 | 8 | Y | No | 14 | 3 | 2 | 80 | 1 | 5 | 4 | 3 | 1 | 0 | 0 | 0 |
| 51 | No | Travel_Rarely | 1405 | Research & Development | 11 | 2 | Technical Degree | 1 | 1367 | 4 | Female | 82 | 2 | 4 | Manufacturing Director | 2 | Single | 13142 | 24439 | 3 | Y | No | 16 | 3 | 2 | 80 | 0 | 29 | 1 | 2 | 5 | 2 | 0 | 3 |
| 18 | No | Non-Travel | 1124 | Research & Development | 1 | 3 | Life Sciences | 1 | 1368 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 1611 | 19305 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 0 | 5 | 4 | 0 | 0 | 0 | 0 |
| 35 | No | Travel_Rarely | 817 | Research & Development | 1 | 3 | Medical | 1 | 1369 | 4 | Female | 60 | 2 | 2 | Laboratory Technician | 4 | Married | 5363 | 10846 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 0 | 3 | 9 | 7 | 0 | 0 |
| 27 | No | Travel_Frequently | 793 | Sales | 2 | 1 | Life Sciences | 1 | 1371 | 4 | Male | 43 | 1 | 2 | Sales Executive | 4 | Single | 5071 | 20392 | 3 | Y | No | 20 | 4 | 2 | 80 | 0 | 8 | 3 | 3 | 6 | 2 | 0 | 0 |
| 55 | Yes | Travel_Rarely | 267 | Sales | 13 | 4 | Marketing | 1 | 1372 | 1 | Male | 85 | 4 | 4 | Sales Executive | 3 | Single | 13695 | 9277 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 24 | 2 | 2 | 19 | 7 | 3 | 8 |
| 56 | No | Travel_Rarely | 1369 | Research & Development | 23 | 3 | Life Sciences | 1 | 1373 | 4 | Male | 68 | 3 | 4 | Manufacturing Director | 2 | Married | 13402 | 18235 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 33 | 0 | 3 | 19 | 16 | 15 | 9 |
| 34 | No | Non-Travel | 999 | Research & Development | 26 | 1 | Technical Degree | 1 | 1374 | 1 | Female | 92 | 2 | 1 | Research Scientist | 3 | Divorced | 2029 | 15891 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 5 | 2 | 3 | 5 | 4 | 0 | 0 |
| 40 | No | Travel_Rarely | 1202 | Research & Development | 2 | 1 | Medical | 1 | 1375 | 2 | Female | 89 | 4 | 2 | Healthcare Representative | 3 | Divorced | 6377 | 13888 | 5 | Y | No | 20 | 4 | 2 | 80 | 3 | 15 | 0 | 3 | 12 | 11 | 11 | 8 |
| 34 | No | Travel_Rarely | 285 | Research & Development | 29 | 3 | Medical | 1 | 1377 | 2 | Male | 86 | 3 | 2 | Laboratory Technician | 3 | Married | 5429 | 17491 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 1 | 3 | 8 | 7 | 7 | 7 |
| 31 | Yes | Travel_Frequently | 703 | Sales | 2 | 3 | Life Sciences | 1 | 1379 | 3 | Female | 90 | 2 | 1 | Sales Representative | 4 | Single | 2785 | 11882 | 7 | Y | No | 14 | 3 | 3 | 80 | 0 | 3 | 3 | 4 | 1 | 0 | 0 | 0 |
| 35 | Yes | Travel_Frequently | 662 | Sales | 18 | 4 | Marketing | 1 | 1380 | 4 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 4614 | 23288 | 0 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 5 | 0 | 2 | 4 | 2 | 3 | 2 |
| 38 | No | Travel_Frequently | 693 | Research & Development | 7 | 3 | Life Sciences | 1 | 1382 | 4 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2610 | 15748 | 1 | Y | No | 11 | 3 | 4 | 80 | 3 | 4 | 2 | 3 | 4 | 2 | 0 | 3 |
| 34 | No | Travel_Rarely | 404 | Research & Development | 2 | 4 | Technical Degree | 1 | 1383 | 3 | Female | 98 | 3 | 2 | Healthcare Representative | 4 | Single | 6687 | 6163 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 2 | 4 | 14 | 11 | 4 | 11 |
| 28 | No | Travel_Rarely | 736 | Sales | 26 | 3 | Life Sciences | 1 | 1387 | 3 | Male | 48 | 2 | 2 | Sales Executive | 1 | Married | 4724 | 24232 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 0 | 3 | 5 | 3 | 0 | 4 |
| 31 | Yes | Travel_Rarely | 330 | Research & Development | 22 | 4 | Medical | 1 | 1389 | 4 | Male | 98 | 3 | 2 | Manufacturing Director | 3 | Married | 6179 | 21057 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 2 | 6 | 7 |
| 39 | No | Travel_Rarely | 1498 | Sales | 21 | 4 | Life Sciences | 1 | 1390 | 1 | Male | 44 | 2 | 2 | Sales Executive | 4 | Married | 6120 | 3567 | 3 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 8 | 2 | 4 | 5 | 4 | 1 | 4 |
| 51 | No | Travel_Frequently | 541 | Sales | 2 | 3 | Marketing | 1 | 1391 | 2 | Male | 52 | 3 | 3 | Sales Executive | 2 | Married | 10596 | 15395 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 14 | 5 | 3 | 4 | 2 | 3 | 2 |
| 41 | No | Travel_Frequently | 1200 | Research & Development | 22 | 3 | Life Sciences | 1 | 1392 | 4 | Female | 75 | 3 | 2 | Research Scientist | 4 | Divorced | 5467 | 13953 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 12 | 4 | 2 | 6 | 2 | 3 | 3 |
| 37 | No | Travel_Rarely | 1439 | Research & Development | 4 | 1 | Life Sciences | 1 | 1394 | 3 | Male | 54 | 3 | 1 | Research Scientist | 3 | Married | 2996 | 5182 | 7 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 6 | 4 | 1 | 3 |
| 33 | No | Travel_Frequently | 1111 | Sales | 5 | 1 | Life Sciences | 1 | 1395 | 2 | Male | 61 | 3 | 2 | Sales Executive | 4 | Married | 9998 | 19293 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 4 | 5 | 4 | 1 | 2 |
| 32 | No | Travel_Rarely | 499 | Sales | 2 | 1 | Marketing | 1 | 1396 | 3 | Male | 36 | 3 | 2 | Sales Executive | 2 | Married | 4078 | 20497 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 3 | 4 | 3 | 2 | 3 | 2 | 1 | 2 |
| 39 | No | Non-Travel | 1485 | Research & Development | 25 | 2 | Life Sciences | 1 | 1397 | 3 | Male | 71 | 3 | 3 | Healthcare Representative | 3 | Married | 10920 | 3449 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 13 | 2 | 3 | 6 | 4 | 0 | 5 |
| 25 | No | Travel_Rarely | 1372 | Sales | 18 | 1 | Life Sciences | 1 | 1399 | 1 | Male | 93 | 4 | 2 | Sales Executive | 3 | Married | 6232 | 12477 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 3 | 2 | 1 | 2 |
| 52 | No | Travel_Frequently | 322 | Research & Development | 28 | 2 | Medical | 1 | 1401 | 4 | Female | 59 | 4 | 4 | Manufacturing Director | 3 | Married | 13247 | 9731 | 2 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 2 | 5 | 3 | 0 | 2 |
| 43 | No | Travel_Rarely | 930 | Research & Development | 6 | 3 | Medical | 1 | 1402 | 1 | Female | 73 | 2 | 2 | Research Scientist | 3 | Single | 4081 | 20003 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 1 | 20 | 7 | 1 | 8 |
| 27 | No | Travel_Rarely | 205 | Sales | 10 | 3 | Marketing | 1 | 1403 | 4 | Female | 98 | 2 | 2 | Sales Executive | 4 | Married | 5769 | 7100 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 4 |
| 27 | Yes | Travel_Rarely | 135 | Research & Development | 17 | 4 | Life Sciences | 1 | 1405 | 4 | Female | 51 | 3 | 1 | Research Scientist | 3 | Single | 2394 | 25681 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 8 | 2 | 7 | 7 |
| 26 | No | Travel_Rarely | 683 | Research & Development | 2 | 1 | Medical | 1 | 1407 | 1 | Male | 36 | 2 | 1 | Research Scientist | 4 | Single | 3904 | 4050 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 1 |
| 42 | No | Travel_Rarely | 1147 | Human Resources | 10 | 3 | Human Resources | 1 | 1408 | 3 | Female | 31 | 3 | 4 | Manager | 1 | Married | 16799 | 16616 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 21 | 5 | 3 | 20 | 7 | 0 | 9 |
| 52 | No | Travel_Rarely | 258 | Research & Development | 8 | 4 | Other | 1 | 1409 | 3 | Female | 54 | 3 | 1 | Laboratory Technician | 1 | Married | 2950 | 17363 | 9 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 2 | 1 | 5 | 4 | 0 | 4 |
| 37 | No | Travel_Rarely | 1462 | Research & Development | 11 | 3 | Medical | 1 | 1411 | 1 | Female | 94 | 3 | 1 | Laboratory Technician | 3 | Single | 3629 | 19106 | 4 | Y | No | 18 | 3 | 1 | 80 | 0 | 8 | 6 | 3 | 3 | 2 | 0 | 2 |
| 35 | No | Travel_Frequently | 200 | Research & Development | 18 | 2 | Life Sciences | 1 | 1412 | 3 | Male | 60 | 3 | 3 | Manufacturing Director | 4 | Single | 9362 | 19944 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 2 | 2 | 2 | 2 |
| 25 | No | Travel_Rarely | 949 | Research & Development | 1 | 3 | Technical Degree | 1 | 1415 | 1 | Male | 81 | 3 | 1 | Laboratory Technician | 4 | Married | 3229 | 4910 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
| 26 | No | Travel_Rarely | 652 | Research & Development | 7 | 3 | Other | 1 | 1417 | 3 | Male | 100 | 4 | 1 | Laboratory Technician | 1 | Single | 3578 | 23577 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 7 |
| 29 | No | Travel_Rarely | 332 | Human Resources | 17 | 3 | Other | 1 | 1419 | 2 | Male | 51 | 2 | 3 | Human Resources | 1 | Single | 7988 | 9769 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 9 | 0 | 9 |
| 49 | Yes | Travel_Frequently | 1475 | Research & Development | 28 | 2 | Life Sciences | 1 | 1420 | 1 | Male | 97 | 2 | 2 | Laboratory Technician | 1 | Single | 4284 | 22710 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
| 29 | Yes | Travel_Frequently | 337 | Research & Development | 14 | 1 | Other | 1 | 1421 | 3 | Female | 84 | 3 | 3 | Healthcare Representative | 4 | Single | 7553 | 22930 | 0 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 9 | 1 | 3 | 8 | 7 | 7 | 7 |
| 54 | No | Travel_Rarely | 971 | Research & Development | 1 | 3 | Medical | 1 | 1422 | 4 | Female | 54 | 3 | 4 | Research Director | 4 | Single | 17328 | 5652 | 6 | Y | No | 19 | 3 | 4 | 80 | 0 | 29 | 3 | 2 | 20 | 7 | 12 | 7 |
| 58 | No | Travel_Rarely | 1055 | Research & Development | 1 | 3 | Medical | 1 | 1423 | 4 | Female | 76 | 3 | 5 | Research Director | 1 | Married | 19701 | 22456 | 3 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 9 | 8 | 1 | 5 |
| 55 | No | Travel_Rarely | 1136 | Research & Development | 1 | 4 | Medical | 1 | 1424 | 2 | Male | 81 | 4 | 4 | Research Director | 4 | Divorced | 14732 | 12414 | 2 | Y | No | 13 | 3 | 4 | 80 | 2 | 31 | 4 | 4 | 7 | 7 | 0 | 0 |
| 36 | No | Travel_Rarely | 1174 | Sales | 3 | 4 | Marketing | 1 | 1425 | 1 | Female | 99 | 3 | 2 | Sales Executive | 2 | Single | 9278 | 20763 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 15 | 3 | 3 | 5 | 4 | 0 | 1 |
| 31 | Yes | Travel_Frequently | 667 | Sales | 1 | 4 | Life Sciences | 1 | 1427 | 2 | Female | 50 | 1 | 1 | Sales Representative | 3 | Single | 1359 | 16154 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 30 | No | Travel_Rarely | 855 | Sales | 7 | 4 | Marketing | 1 | 1428 | 4 | Female | 73 | 3 | 2 | Sales Executive | 1 | Divorced | 4779 | 12761 | 7 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
| 31 | No | Travel_Rarely | 182 | Research & Development | 8 | 5 | Life Sciences | 1 | 1430 | 1 | Female | 93 | 3 | 4 | Research Director | 2 | Single | 16422 | 8847 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 9 | 3 | 4 | 3 | 2 | 1 | 0 |
| 34 | No | Travel_Frequently | 560 | Research & Development | 1 | 4 | Other | 1 | 1431 | 4 | Male | 91 | 3 | 1 | Research Scientist | 1 | Divorced | 2996 | 20284 | 5 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 4 | 3 | 1 | 3 |
| 31 | Yes | Travel_Rarely | 202 | Research & Development | 8 | 3 | Life Sciences | 1 | 1433 | 1 | Female | 34 | 2 | 1 | Research Scientist | 2 | Single | 1261 | 22262 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 27 | No | Travel_Rarely | 1377 | Research & Development | 11 | 1 | Life Sciences | 1 | 1434 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 2099 | 7679 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 6 | 3 | 4 | 5 | 0 | 1 | 4 |
| 36 | No | Travel_Rarely | 172 | Research & Development | 4 | 4 | Life Sciences | 1 | 1435 | 1 | Male | 37 | 2 | 2 | Laboratory Technician | 4 | Single | 5810 | 22604 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 1 | 8 |
| 36 | No | Travel_Rarely | 329 | Sales | 16 | 4 | Marketing | 1 | 1436 | 3 | Female | 98 | 2 | 2 | Sales Executive | 1 | Married | 5647 | 13494 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 11 | 3 | 2 | 3 | 2 | 0 | 2 |
| 47 | No | Travel_Rarely | 465 | Research & Development | 1 | 3 | Technical Degree | 1 | 1438 | 1 | Male | 74 | 3 | 1 | Research Scientist | 4 | Married | 3420 | 10205 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 2 | 2 | 6 | 5 | 1 | 2 |
| 25 | Yes | Travel_Rarely | 383 | Sales | 9 | 2 | Life Sciences | 1 | 1439 | 1 | Male | 68 | 2 | 1 | Sales Representative | 1 | Married | 4400 | 15182 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 3 | 2 | 2 | 2 |
| 37 | No | Non-Travel | 1413 | Research & Development | 5 | 2 | Technical Degree | 1 | 1440 | 3 | Male | 84 | 4 | 1 | Laboratory Technician | 3 | Single | 3500 | 25470 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 6 | 5 | 1 | 3 |
| 56 | No | Travel_Rarely | 1255 | Research & Development | 1 | 2 | Life Sciences | 1 | 1441 | 1 | Female | 90 | 3 | 1 | Research Scientist | 1 | Married | 2066 | 10494 | 2 | Y | No | 22 | 4 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 0 |
| 47 | No | Travel_Rarely | 359 | Research & Development | 2 | 4 | Medical | 1 | 1443 | 1 | Female | 82 | 3 | 4 | Research Director | 3 | Married | 17169 | 26703 | 3 | Y | No | 19 | 3 | 2 | 80 | 2 | 26 | 2 | 4 | 20 | 17 | 5 | 6 |
| 24 | No | Travel_Rarely | 1476 | Sales | 4 | 1 | Medical | 1 | 1445 | 4 | Female | 42 | 3 | 2 | Sales Executive | 3 | Married | 4162 | 15211 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
| 32 | No | Travel_Rarely | 601 | Sales | 7 | 5 | Marketing | 1 | 1446 | 4 | Male | 97 | 3 | 2 | Sales Executive | 4 | Married | 9204 | 23343 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 7 | 3 | 2 | 4 | 3 | 0 | 3 |
| 34 | No | Travel_Rarely | 401 | Research & Development | 1 | 3 | Life Sciences | 1 | 1447 | 4 | Female | 86 | 2 | 1 | Laboratory Technician | 2 | Married | 3294 | 3708 | 5 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 2 | 2 | 5 | 4 | 0 | 2 |
| 41 | No | Travel_Rarely | 1283 | Research & Development | 5 | 5 | Medical | 1 | 1448 | 2 | Male | 90 | 4 | 1 | Research Scientist | 3 | Married | 2127 | 5561 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 7 | 5 | 2 | 4 | 2 | 0 | 3 |
| 40 | No | Non-Travel | 663 | Research & Development | 9 | 4 | Other | 1 | 1449 | 3 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3975 | 23099 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 11 | 2 | 4 | 8 | 7 | 0 | 7 |
| 31 | No | Travel_Rarely | 326 | Sales | 8 | 2 | Life Sciences | 1 | 1453 | 1 | Male | 31 | 3 | 3 | Sales Executive | 4 | Divorced | 10793 | 8386 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 13 | 5 | 3 | 13 | 7 | 9 | 9 |
| 46 | Yes | Travel_Rarely | 377 | Sales | 9 | 3 | Marketing | 1 | 1457 | 1 | Male | 52 | 3 | 3 | Sales Executive | 4 | Divorced | 10096 | 15986 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 28 | 1 | 4 | 7 | 7 | 4 | 3 |
| 39 | Yes | Non-Travel | 592 | Research & Development | 2 | 3 | Life Sciences | 1 | 1458 | 1 | Female | 54 | 2 | 1 | Laboratory Technician | 1 | Single | 3646 | 17181 | 2 | Y | Yes | 23 | 4 | 2 | 80 | 0 | 11 | 2 | 4 | 1 | 0 | 0 | 0 |
| 31 | Yes | Travel_Frequently | 1445 | Research & Development | 1 | 5 | Life Sciences | 1 | 1459 | 3 | Female | 100 | 4 | 3 | Manufacturing Director | 2 | Single | 7446 | 8931 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
| 45 | No | Travel_Rarely | 1038 | Research & Development | 20 | 3 | Medical | 1 | 1460 | 2 | Male | 95 | 1 | 3 | Healthcare Representative | 1 | Divorced | 10851 | 19863 | 2 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 24 | 2 | 3 | 7 | 7 | 0 | 7 |
| 31 | No | Travel_Rarely | 1398 | Human Resources | 8 | 2 | Medical | 1 | 1461 | 4 | Female | 96 | 4 | 1 | Human Resources | 2 | Single | 2109 | 24609 | 9 | Y | No | 18 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
| 31 | Yes | Travel_Frequently | 523 | Research & Development | 2 | 3 | Life Sciences | 1 | 1464 | 2 | Male | 94 | 3 | 1 | Laboratory Technician | 4 | Married | 3722 | 21081 | 6 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 7 | 2 | 1 | 2 | 2 | 2 | 2 |
| 45 | No | Travel_Rarely | 1448 | Research & Development | 29 | 3 | Technical Degree | 1 | 1465 | 2 | Male | 55 | 3 | 3 | Manufacturing Director | 4 | Married | 9380 | 14720 | 4 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 10 | 4 | 4 | 3 | 1 | 1 | 2 |
| 48 | No | Travel_Rarely | 1221 | Sales | 7 | 3 | Marketing | 1 | 1466 | 3 | Male | 96 | 3 | 2 | Sales Executive | 1 | Divorced | 5486 | 24795 | 4 | Y | No | 11 | 3 | 1 | 80 | 3 | 15 | 3 | 3 | 2 | 2 | 2 | 2 |
| 34 | Yes | Travel_Rarely | 1107 | Human Resources | 9 | 4 | Technical Degree | 1 | 1467 | 1 | Female | 52 | 3 | 1 | Human Resources | 3 | Married | 2742 | 3072 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 2 | 0 | 3 | 2 | 2 | 2 | 2 |
| 40 | No | Non-Travel | 218 | Research & Development | 8 | 1 | Medical | 1 | 1468 | 4 | Male | 55 | 2 | 3 | Research Director | 2 | Divorced | 13757 | 25178 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 5 | 3 | 9 | 8 | 4 | 8 |
| 28 | No | Travel_Rarely | 866 | Sales | 5 | 3 | Medical | 1 | 1469 | 4 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 8463 | 23490 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 5 | 4 | 1 | 3 |
| 44 | No | Non-Travel | 981 | Research & Development | 5 | 3 | Life Sciences | 1 | 1471 | 3 | Male | 90 | 2 | 1 | Laboratory Technician | 3 | Single | 3162 | 7973 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 5 | 3 | 5 | 2 | 0 | 3 |
| 53 | No | Travel_Rarely | 447 | Research & Development | 2 | 3 | Medical | 1 | 1472 | 4 | Male | 39 | 4 | 4 | Research Director | 2 | Single | 16598 | 19764 | 4 | Y | No | 12 | 3 | 2 | 80 | 0 | 35 | 2 | 2 | 9 | 8 | 8 | 8 |
| 49 | No | Travel_Rarely | 1495 | Research & Development | 5 | 4 | Technical Degree | 1 | 1473 | 1 | Male | 96 | 3 | 2 | Healthcare Representative | 3 | Married | 6651 | 21534 | 2 | Y | No | 14 | 3 | 2 | 80 | 1 | 20 | 0 | 2 | 3 | 2 | 1 | 2 |
| 40 | No | Travel_Rarely | 896 | Research & Development | 2 | 3 | Medical | 1 | 1474 | 3 | Male | 68 | 3 | 1 | Research Scientist | 3 | Divorced | 2345 | 8045 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 8 | 3 | 4 | 3 | 1 | 1 | 2 |
| 44 | No | Travel_Rarely | 1467 | Research & Development | 20 | 3 | Life Sciences | 1 | 1475 | 4 | Male | 49 | 3 | 1 | Research Scientist | 2 | Single | 3420 | 21158 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 2 | 1 | 3 |
| 33 | No | Travel_Frequently | 430 | Sales | 7 | 3 | Medical | 1 | 1477 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Married | 4373 | 17456 | 0 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 4 | 3 | 0 | 3 |
| 34 | No | Travel_Rarely | 1326 | Sales | 3 | 3 | Other | 1 | 1478 | 4 | Male | 81 | 1 | 2 | Sales Executive | 1 | Single | 4759 | 15891 | 3 | Y | No | 18 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 13 | 9 | 3 | 12 |
| 30 | No | Travel_Rarely | 1358 | Sales | 16 | 1 | Life Sciences | 1 | 1479 | 4 | Male | 96 | 3 | 2 | Sales Executive | 3 | Married | 5301 | 2939 | 8 | Y | No | 15 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 2 | 1 | 2 | 2 |
| 42 | No | Travel_Frequently | 748 | Research & Development | 9 | 2 | Medical | 1 | 1480 | 1 | Female | 74 | 3 | 1 | Laboratory Technician | 4 | Single | 3673 | 16458 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 12 | 9 | 5 | 8 |
| 44 | No | Travel_Frequently | 383 | Sales | 1 | 5 | Marketing | 1 | 1481 | 1 | Female | 79 | 3 | 2 | Sales Executive | 3 | Married | 4768 | 9282 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 1 | 0 | 0 | 0 |
| 30 | No | Non-Travel | 990 | Research & Development | 7 | 3 | Technical Degree | 1 | 1482 | 3 | Male | 64 | 3 | 1 | Research Scientist | 3 | Divorced | 1274 | 7152 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
| 57 | No | Travel_Rarely | 405 | Research & Development | 1 | 2 | Life Sciences | 1 | 1483 | 2 | Male | 93 | 4 | 2 | Research Scientist | 3 | Married | 4900 | 2721 | 0 | Y | No | 24 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 12 | 9 | 2 | 8 |
| 49 | No | Travel_Rarely | 1490 | Research & Development | 7 | 4 | Life Sciences | 1 | 1484 | 3 | Male | 35 | 3 | 3 | Healthcare Representative | 2 | Divorced | 10466 | 20948 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 29 | 3 | 3 | 8 | 7 | 0 | 7 |
| 34 | No | Travel_Frequently | 829 | Research & Development | 15 | 3 | Medical | 1 | 1485 | 2 | Male | 71 | 3 | 4 | Research Director | 1 | Divorced | 17007 | 11929 | 7 | Y | No | 14 | 3 | 4 | 80 | 2 | 16 | 3 | 2 | 14 | 8 | 6 | 9 |
| 28 | Yes | Travel_Frequently | 1496 | Sales | 1 | 3 | Technical Degree | 1 | 1486 | 1 | Male | 92 | 3 | 1 | Sales Representative | 3 | Married | 2909 | 15747 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 2 |
| 29 | Yes | Travel_Frequently | 115 | Sales | 13 | 3 | Technical Degree | 1 | 1487 | 1 | Female | 51 | 3 | 2 | Sales Executive | 2 | Single | 5765 | 17485 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 7 | 4 | 1 | 5 | 3 | 0 | 0 |
| 34 | Yes | Travel_Rarely | 790 | Sales | 24 | 4 | Medical | 1 | 1489 | 1 | Female | 40 | 2 | 2 | Sales Executive | 2 | Single | 4599 | 7815 | 0 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 16 | 2 | 4 | 15 | 9 | 10 | 10 |
| 35 | No | Travel_Rarely | 660 | Sales | 7 | 1 | Life Sciences | 1 | 1492 | 4 | Male | 76 | 3 | 1 | Sales Representative | 3 | Married | 2404 | 16192 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 24 | Yes | Travel_Frequently | 381 | Research & Development | 9 | 3 | Medical | 1 | 1494 | 2 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Single | 3172 | 16998 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 |
| 24 | No | Non-Travel | 830 | Sales | 13 | 2 | Life Sciences | 1 | 1495 | 4 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2033 | 7103 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 44 | No | Travel_Frequently | 1193 | Research & Development | 2 | 1 | Medical | 1 | 1496 | 2 | Male | 86 | 3 | 3 | Manufacturing Director | 3 | Single | 10209 | 19719 | 5 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 16 | 2 | 2 | 2 | 2 | 2 | 2 |
| 29 | No | Travel_Rarely | 1246 | Sales | 19 | 3 | Life Sciences | 1 | 1497 | 3 | Male | 77 | 2 | 2 | Sales Executive | 3 | Divorced | 8620 | 23757 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 0 | 4 |
| 30 | No | Travel_Rarely | 330 | Human Resources | 1 | 3 | Life Sciences | 1 | 1499 | 3 | Male | 46 | 3 | 1 | Human Resources | 3 | Divorced | 2064 | 15428 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 6 | 3 | 4 | 5 | 3 | 1 | 3 |
| 55 | No | Travel_Rarely | 1229 | Research & Development | 4 | 4 | Life Sciences | 1 | 1501 | 4 | Male | 30 | 3 | 2 | Healthcare Representative | 3 | Married | 4035 | 16143 | 0 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 1 | 2 |
| 33 | No | Travel_Rarely | 1099 | Research & Development | 4 | 4 | Medical | 1 | 1502 | 1 | Female | 82 | 2 | 1 | Laboratory Technician | 2 | Married | 3838 | 8192 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 8 | 5 | 3 | 5 | 4 | 0 | 2 |
| 47 | No | Travel_Rarely | 571 | Sales | 14 | 3 | Medical | 1 | 1503 | 3 | Female | 78 | 3 | 2 | Sales Executive | 3 | Married | 4591 | 24200 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 5 | 4 | 1 | 2 |
| 28 | Yes | Travel_Frequently | 289 | Research & Development | 2 | 2 | Medical | 1 | 1504 | 3 | Male | 38 | 2 | 1 | Laboratory Technician | 1 | Single | 2561 | 5355 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 0 | 0 | 0 | 0 |
| 28 | No | Travel_Rarely | 1423 | Research & Development | 1 | 3 | Life Sciences | 1 | 1506 | 1 | Male | 72 | 2 | 1 | Research Scientist | 3 | Divorced | 1563 | 12530 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 |
| 28 | No | Travel_Frequently | 467 | Sales | 7 | 3 | Life Sciences | 1 | 1507 | 3 | Male | 55 | 3 | 2 | Sales Executive | 1 | Single | 4898 | 11827 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 5 | 5 | 3 | 4 | 2 | 1 | 3 |
| 49 | No | Travel_Rarely | 271 | Research & Development | 3 | 2 | Medical | 1 | 1509 | 3 | Female | 43 | 2 | 2 | Laboratory Technician | 1 | Married | 4789 | 23070 | 4 | Y | No | 25 | 4 | 1 | 80 | 1 | 10 | 3 | 3 | 3 | 2 | 1 | 2 |
| 29 | No | Travel_Frequently | 410 | Research & Development | 2 | 1 | Life Sciences | 1 | 1513 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 3180 | 4668 | 0 | Y | No | 13 | 3 | 3 | 80 | 3 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 28 | No | Travel_Rarely | 1083 | Research & Development | 29 | 1 | Life Sciences | 1 | 1514 | 3 | Male | 96 | 1 | 2 | Manufacturing Director | 2 | Married | 6549 | 3173 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 2 | 2 | 8 | 6 | 1 | 7 |
| 33 | No | Travel_Rarely | 516 | Research & Development | 8 | 5 | Life Sciences | 1 | 1515 | 4 | Male | 69 | 3 | 2 | Healthcare Representative | 3 | Single | 6388 | 22049 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 14 | 6 | 3 | 0 | 0 | 0 | 0 |
| 32 | No | Travel_Rarely | 495 | Research & Development | 10 | 3 | Medical | 1 | 1516 | 3 | Male | 64 | 3 | 3 | Manager | 4 | Single | 11244 | 21072 | 2 | Y | No | 25 | 4 | 2 | 80 | 0 | 10 | 5 | 4 | 5 | 2 | 0 | 0 |
| 54 | No | Travel_Frequently | 1050 | Research & Development | 11 | 4 | Medical | 1 | 1520 | 2 | Female | 87 | 3 | 4 | Manager | 4 | Divorced | 16032 | 24456 | 3 | Y | No | 20 | 4 | 1 | 80 | 1 | 26 | 2 | 3 | 14 | 9 | 1 | 12 |
| 29 | Yes | Travel_Rarely | 224 | Research & Development | 1 | 4 | Technical Degree | 1 | 1522 | 1 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2362 | 7568 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 11 | 2 | 1 | 9 | 7 | 0 | 7 |
| 44 | No | Travel_Rarely | 136 | Research & Development | 28 | 3 | Life Sciences | 1 | 1523 | 4 | Male | 32 | 3 | 4 | Research Director | 1 | Married | 16328 | 22074 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 24 | 1 | 4 | 20 | 6 | 14 | 17 |
| 39 | No | Travel_Rarely | 1089 | Research & Development | 6 | 3 | Life Sciences | 1 | 1525 | 2 | Female | 32 | 3 | 3 | Manufacturing Director | 2 | Single | 8376 | 9150 | 4 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 2 | 0 | 2 | 2 |
| 46 | No | Travel_Rarely | 228 | Sales | 3 | 3 | Life Sciences | 1 | 1527 | 3 | Female | 51 | 3 | 4 | Manager | 2 | Married | 16606 | 11380 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 13 | 12 | 5 | 1 |
| 35 | No | Travel_Rarely | 1029 | Research & Development | 16 | 3 | Life Sciences | 1 | 1529 | 4 | Female | 91 | 2 | 3 | Healthcare Representative | 2 | Single | 8606 | 21195 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 11 | 3 | 1 | 11 | 8 | 3 | 3 |
| 23 | No | Travel_Rarely | 507 | Research & Development | 20 | 1 | Life Sciences | 1 | 1533 | 1 | Male | 97 | 3 | 2 | Laboratory Technician | 3 | Single | 2272 | 24812 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 2 |
| 40 | Yes | Travel_Rarely | 676 | Research & Development | 9 | 4 | Life Sciences | 1 | 1534 | 4 | Male | 86 | 3 | 1 | Laboratory Technician | 1 | Single | 2018 | 21831 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 15 | 3 | 1 | 5 | 4 | 1 | 0 |
| 34 | No | Travel_Rarely | 971 | Sales | 1 | 3 | Technical Degree | 1 | 1535 | 4 | Male | 64 | 2 | 3 | Sales Executive | 3 | Married | 7083 | 12288 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 6 |
| 31 | Yes | Travel_Frequently | 561 | Research & Development | 3 | 3 | Life Sciences | 1 | 1537 | 4 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 4084 | 4156 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 7 | 2 | 7 | 7 |
| 50 | No | Travel_Frequently | 333 | Research & Development | 22 | 5 | Medical | 1 | 1539 | 3 | Male | 88 | 1 | 4 | Research Director | 4 | Single | 14411 | 24450 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 32 | 2 | 3 | 32 | 6 | 13 | 9 |
| 34 | No | Travel_Rarely | 1440 | Sales | 7 | 2 | Technical Degree | 1 | 1541 | 2 | Male | 55 | 3 | 1 | Sales Representative | 3 | Married | 2308 | 4944 | 0 | Y | Yes | 25 | 4 | 2 | 80 | 1 | 12 | 4 | 3 | 11 | 10 | 5 | 7 |
| 42 | No | Travel_Rarely | 1210 | Research & Development | 2 | 3 | Medical | 1 | 1542 | 3 | Male | 68 | 2 | 1 | Laboratory Technician | 2 | Married | 4841 | 24052 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 3 | 3 | 1 | 0 | 0 | 0 |
| 37 | No | Travel_Rarely | 674 | Research & Development | 13 | 3 | Medical | 1 | 1543 | 1 | Male | 47 | 3 | 2 | Research Scientist | 4 | Married | 4285 | 3031 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 3 | 7 |
| 29 | No | Travel_Rarely | 441 | Research & Development | 8 | 1 | Other | 1 | 1544 | 3 | Female | 39 | 1 | 2 | Healthcare Representative | 1 | Married | 9715 | 7288 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 9 | 3 | 3 | 7 | 7 | 0 | 7 |
| 33 | No | Travel_Rarely | 575 | Research & Development | 25 | 3 | Life Sciences | 1 | 1545 | 4 | Male | 44 | 2 | 2 | Manufacturing Director | 2 | Single | 4320 | 24152 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 5 | 3 | 0 | 2 |
| 45 | No | Travel_Rarely | 950 | Research & Development | 28 | 3 | Technical Degree | 1 | 1546 | 4 | Male | 97 | 3 | 1 | Research Scientist | 4 | Married | 2132 | 4585 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 5 | 4 | 0 | 3 |
| 42 | No | Travel_Frequently | 288 | Research & Development | 2 | 3 | Life Sciences | 1 | 1547 | 4 | Male | 40 | 3 | 3 | Healthcare Representative | 4 | Married | 10124 | 18611 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 24 | 3 | 1 | 20 | 8 | 13 | 9 |
| 40 | No | Travel_Rarely | 1342 | Sales | 9 | 2 | Medical | 1 | 1548 | 1 | Male | 47 | 3 | 2 | Sales Executive | 1 | Married | 5473 | 19345 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 8 | 4 | 7 | 1 |
| 33 | No | Travel_Rarely | 589 | Research & Development | 28 | 4 | Life Sciences | 1 | 1549 | 2 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 5207 | 22949 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 5 | 7 |
| 40 | No | Travel_Rarely | 898 | Human Resources | 6 | 2 | Medical | 1 | 1550 | 3 | Male | 38 | 3 | 4 | Manager | 4 | Single | 16437 | 17381 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 21 | 2 | 3 | 21 | 7 | 7 | 7 |
| 24 | No | Travel_Rarely | 350 | Research & Development | 21 | 2 | Technical Degree | 1 | 1551 | 3 | Male | 57 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2296 | 10036 | 0 | Y | No | 14 | 3 | 2 | 80 | 3 | 2 | 3 | 3 | 1 | 1 | 0 | 0 |
| 40 | No | Non-Travel | 1142 | Research & Development | 8 | 2 | Life Sciences | 1 | 1552 | 4 | Male | 72 | 3 | 2 | Healthcare Representative | 4 | Divorced | 4069 | 8841 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 45 | No | Travel_Rarely | 538 | Research & Development | 1 | 4 | Technical Degree | 1 | 1553 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 2 | Divorced | 7441 | 20933 | 1 | Y | No | 12 | 3 | 1 | 80 | 3 | 10 | 4 | 3 | 10 | 8 | 7 | 7 |
| 35 | No | Travel_Rarely | 1402 | Sales | 28 | 4 | Life Sciences | 1 | 1554 | 2 | Female | 98 | 2 | 1 | Sales Representative | 3 | Married | 2430 | 26204 | 0 | Y | No | 23 | 4 | 1 | 80 | 2 | 6 | 5 | 3 | 5 | 3 | 4 | 2 |
| 32 | No | Travel_Rarely | 824 | Research & Development | 5 | 2 | Life Sciences | 1 | 1555 | 4 | Female | 67 | 2 | 2 | Research Scientist | 2 | Married | 5878 | 15624 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 1 | 2 | 5 |
| 36 | No | Travel_Rarely | 1157 | Sales | 2 | 4 | Life Sciences | 1 | 1556 | 3 | Male | 70 | 3 | 1 | Sales Representative | 4 | Single | 2644 | 17001 | 3 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 2 | 3 | 2 | 1 | 2 |
| 48 | No | Travel_Rarely | 492 | Sales | 16 | 4 | Life Sciences | 1 | 1557 | 3 | Female | 96 | 3 | 2 | Sales Executive | 3 | Divorced | 6439 | 13693 | 8 | Y | No | 14 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 8 | 7 | 7 | 7 |
| 29 | No | Travel_Rarely | 598 | Research & Development | 9 | 3 | Life Sciences | 1 | 1558 | 3 | Male | 91 | 4 | 1 | Research Scientist | 3 | Married | 2451 | 22376 | 6 | Y | No | 18 | 3 | 1 | 80 | 2 | 5 | 2 | 2 | 1 | 0 | 0 | 0 |
| 33 | No | Travel_Rarely | 1242 | Sales | 8 | 4 | Life Sciences | 1 | 1560 | 1 | Male | 46 | 3 | 2 | Sales Executive | 1 | Married | 6392 | 10589 | 2 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 6 | 1 | 2 | 2 | 2 | 2 |
| 30 | Yes | Travel_Rarely | 740 | Sales | 1 | 3 | Life Sciences | 1 | 1562 | 2 | Male | 64 | 2 | 2 | Sales Executive | 1 | Married | 9714 | 5323 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 4 | 3 | 10 | 8 | 6 | 7 |
| 38 | No | Travel_Frequently | 888 | Human Resources | 10 | 4 | Human Resources | 1 | 1563 | 3 | Male | 71 | 3 | 2 | Human Resources | 3 | Married | 6077 | 14814 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 6 | 3 | 1 | 2 |
| 35 | No | Travel_Rarely | 992 | Research & Development | 1 | 3 | Medical | 1 | 1564 | 4 | Male | 68 | 2 | 1 | Laboratory Technician | 1 | Single | 2450 | 21731 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 3 | 3 | 3 | 3 | 0 | 1 | 2 |
| 30 | No | Travel_Rarely | 1288 | Sales | 29 | 4 | Technical Degree | 1 | 1568 | 3 | Male | 33 | 3 | 3 | Sales Executive | 2 | Married | 9250 | 17799 | 3 | Y | No | 12 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 4 | 2 | 1 | 3 |
| 35 | Yes | Travel_Rarely | 104 | Research & Development | 2 | 3 | Life Sciences | 1 | 1569 | 1 | Female | 69 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2074 | 26619 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 53 | Yes | Travel_Rarely | 607 | Research & Development | 2 | 5 | Technical Degree | 1 | 1572 | 3 | Female | 78 | 2 | 3 | Manufacturing Director | 4 | Married | 10169 | 14618 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 34 | 4 | 3 | 33 | 7 | 1 | 9 |
| 38 | Yes | Travel_Rarely | 903 | Research & Development | 2 | 3 | Medical | 1 | 1573 | 3 | Male | 81 | 3 | 2 | Manufacturing Director | 2 | Married | 4855 | 7653 | 4 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 5 | 2 | 1 | 4 |
| 32 | No | Non-Travel | 1200 | Research & Development | 1 | 4 | Technical Degree | 1 | 1574 | 4 | Male | 62 | 3 | 2 | Research Scientist | 1 | Married | 4087 | 25174 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 6 | 5 | 1 | 2 |
| 48 | No | Travel_Rarely | 1108 | Research & Development | 15 | 4 | Other | 1 | 1576 | 3 | Female | 65 | 3 | 1 | Research Scientist | 1 | Married | 2367 | 16530 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 8 | 2 | 7 | 6 |
| 34 | No | Travel_Rarely | 479 | Research & Development | 7 | 4 | Medical | 1 | 1577 | 1 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2972 | 22061 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 0 |
| 55 | No | Travel_Rarely | 685 | Sales | 26 | 5 | Marketing | 1 | 1578 | 3 | Male | 60 | 2 | 5 | Manager | 4 | Married | 19586 | 23037 | 1 | Y | No | 21 | 4 | 3 | 80 | 1 | 36 | 3 | 3 | 36 | 6 | 2 | 13 |
| 34 | No | Travel_Rarely | 1351 | Research & Development | 1 | 4 | Life Sciences | 1 | 1580 | 2 | Male | 45 | 3 | 2 | Research Scientist | 4 | Married | 5484 | 13008 | 9 | Y | No | 17 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 2 | 2 | 2 | 1 |
| 26 | No | Travel_Rarely | 474 | Research & Development | 3 | 3 | Life Sciences | 1 | 1581 | 1 | Female | 89 | 3 | 1 | Research Scientist | 4 | Married | 2061 | 11133 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
| 38 | No | Travel_Rarely | 1245 | Sales | 14 | 3 | Life Sciences | 1 | 1582 | 3 | Male | 80 | 3 | 2 | Sales Executive | 2 | Married | 9924 | 12355 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 9 | 8 | 7 | 7 |
| 38 | No | Travel_Rarely | 437 | Sales | 16 | 3 | Life Sciences | 1 | 1583 | 2 | Female | 90 | 3 | 2 | Sales Executive | 2 | Single | 4198 | 16379 | 2 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 5 | 4 | 3 | 2 | 1 | 2 |
| 36 | No | Travel_Rarely | 884 | Sales | 1 | 4 | Life Sciences | 1 | 1585 | 2 | Female | 73 | 3 | 2 | Sales Executive | 3 | Single | 6815 | 21447 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 15 | 5 | 3 | 1 | 0 | 0 | 0 |
| 29 | No | Travel_Rarely | 1370 | Research & Development | 3 | 1 | Medical | 1 | 1586 | 2 | Male | 87 | 3 | 1 | Laboratory Technician | 1 | Single | 4723 | 16213 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 1 | 5 |
| 35 | No | Travel_Rarely | 670 | Research & Development | 10 | 4 | Medical | 1 | 1587 | 1 | Female | 51 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 4223 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 5 | 2 | 0 | 4 |
| 39 | No | Travel_Rarely | 1462 | Sales | 6 | 3 | Medical | 1 | 1588 | 4 | Male | 38 | 4 | 3 | Sales Executive | 3 | Married | 8237 | 4658 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 11 | 3 | 3 | 7 | 6 | 7 | 6 |
| 29 | No | Travel_Frequently | 995 | Research & Development | 2 | 1 | Life Sciences | 1 | 1590 | 1 | Male | 87 | 3 | 2 | Healthcare Representative | 4 | Divorced | 8853 | 24483 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 6 | 0 | 4 | 6 | 4 | 1 | 3 |
| 50 | No | Travel_Rarely | 264 | Sales | 9 | 3 | Marketing | 1 | 1591 | 3 | Male | 59 | 3 | 5 | Manager | 3 | Married | 19331 | 19519 | 4 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 1 | 0 | 0 | 0 |
| 23 | No | Travel_Rarely | 977 | Research & Development | 10 | 3 | Technical Degree | 1 | 1592 | 4 | Male | 45 | 4 | 1 | Research Scientist | 3 | Married | 2073 | 12826 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 36 | No | Travel_Frequently | 1302 | Research & Development | 6 | 4 | Life Sciences | 1 | 1594 | 1 | Male | 80 | 4 | 2 | Laboratory Technician | 1 | Married | 5562 | 19711 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
| 42 | No | Travel_Rarely | 1059 | Research & Development | 9 | 2 | Other | 1 | 1595 | 4 | Male | 93 | 2 | 5 | Manager | 4 | Single | 19613 | 26362 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 24 | 2 | 3 | 1 | 0 | 0 | 1 |
| 35 | No | Travel_Rarely | 750 | Research & Development | 28 | 3 | Life Sciences | 1 | 1596 | 2 | Male | 46 | 4 | 2 | Laboratory Technician | 3 | Married | 3407 | 25348 | 1 | Y | No | 17 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 9 | 6 | 8 |
| 34 | No | Travel_Frequently | 653 | Research & Development | 10 | 4 | Technical Degree | 1 | 1597 | 4 | Male | 92 | 2 | 2 | Healthcare Representative | 3 | Married | 5063 | 15332 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 8 | 2 | 7 | 7 |
| 40 | No | Travel_Rarely | 118 | Sales | 14 | 2 | Life Sciences | 1 | 1598 | 4 | Female | 84 | 3 | 2 | Sales Executive | 1 | Married | 4639 | 11262 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
| 43 | No | Travel_Rarely | 990 | Research & Development | 27 | 3 | Technical Degree | 1 | 1599 | 4 | Male | 87 | 4 | 1 | Laboratory Technician | 2 | Divorced | 4876 | 5855 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 0 | 3 | 6 | 4 | 0 | 2 |
| 35 | No | Travel_Rarely | 1349 | Research & Development | 7 | 2 | Life Sciences | 1 | 1601 | 3 | Male | 63 | 2 | 1 | Laboratory Technician | 4 | Married | 2690 | 7713 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 1 | 5 | 2 | 1 | 0 | 0 | 1 |
| 46 | No | Travel_Rarely | 563 | Sales | 1 | 4 | Life Sciences | 1 | 1602 | 4 | Male | 56 | 4 | 4 | Manager | 1 | Single | 17567 | 3156 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 27 | 5 | 1 | 26 | 0 | 0 | 12 |
| 28 | Yes | Travel_Rarely | 329 | Research & Development | 24 | 3 | Medical | 1 | 1604 | 3 | Male | 51 | 3 | 1 | Laboratory Technician | 2 | Married | 2408 | 7324 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 1 | 0 | 0 |
| 22 | No | Non-Travel | 457 | Research & Development | 26 | 2 | Other | 1 | 1605 | 2 | Female | 85 | 2 | 1 | Research Scientist | 3 | Married | 2814 | 10293 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 2 | 1 | 3 |
| 50 | No | Travel_Frequently | 1234 | Research & Development | 20 | 5 | Medical | 1 | 1606 | 2 | Male | 41 | 3 | 4 | Healthcare Representative | 3 | Married | 11245 | 20689 | 2 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 32 | 3 | 3 | 30 | 8 | 12 | 13 |
| 32 | No | Travel_Rarely | 634 | Research & Development | 5 | 4 | Other | 1 | 1607 | 2 | Female | 35 | 4 | 1 | Research Scientist | 4 | Married | 3312 | 18783 | 3 | Y | No | 17 | 3 | 4 | 80 | 2 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
| 44 | No | Travel_Rarely | 1313 | Research & Development | 7 | 3 | Medical | 1 | 1608 | 2 | Female | 31 | 3 | 5 | Research Director | 4 | Divorced | 19049 | 3549 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 23 | 4 | 2 | 22 | 7 | 1 | 10 |
| 30 | No | Travel_Rarely | 241 | Research & Development | 7 | 3 | Medical | 1 | 1609 | 2 | Male | 48 | 2 | 1 | Research Scientist | 2 | Married | 2141 | 5348 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 6 | 3 | 2 | 6 | 4 | 1 | 1 |
| 45 | No | Travel_Rarely | 1015 | Research & Development | 5 | 5 | Medical | 1 | 1611 | 3 | Female | 50 | 1 | 2 | Laboratory Technician | 1 | Single | 5769 | 23447 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 1 | 4 |
| 45 | No | Non-Travel | 336 | Sales | 26 | 3 | Marketing | 1 | 1612 | 1 | Male | 52 | 2 | 2 | Sales Executive | 1 | Married | 4385 | 24162 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 4 | 5 |
| 31 | No | Travel_Frequently | 715 | Sales | 2 | 4 | Other | 1 | 1613 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Single | 5332 | 21602 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 5 | 2 | 0 | 3 |
| 36 | No | Travel_Rarely | 559 | Research & Development | 12 | 4 | Life Sciences | 1 | 1614 | 3 | Female | 76 | 3 | 2 | Manufacturing Director | 3 | Married | 4663 | 12421 | 9 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 7 | 2 | 3 | 3 | 2 | 1 | 1 |
| 34 | No | Travel_Frequently | 426 | Research & Development | 10 | 4 | Life Sciences | 1 | 1615 | 3 | Male | 42 | 4 | 2 | Manufacturing Director | 4 | Divorced | 4724 | 17000 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 9 | 7 | 7 | 2 |
| 49 | No | Travel_Rarely | 722 | Research & Development | 25 | 4 | Life Sciences | 1 | 1617 | 3 | Female | 84 | 3 | 1 | Laboratory Technician | 1 | Married | 3211 | 22102 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 6 | 1 | 4 |
| 39 | No | Travel_Rarely | 1387 | Research & Development | 10 | 5 | Medical | 1 | 1618 | 2 | Male | 76 | 3 | 2 | Manufacturing Director | 1 | Married | 5377 | 3835 | 2 | Y | No | 13 | 3 | 4 | 80 | 3 | 10 | 3 | 3 | 7 | 7 | 7 | 7 |
| 27 | No | Travel_Rarely | 1302 | Research & Development | 19 | 3 | Other | 1 | 1619 | 4 | Male | 67 | 2 | 1 | Laboratory Technician | 1 | Divorced | 4066 | 16290 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 3 | 3 | 7 | 7 | 0 | 7 |
| 35 | No | Travel_Rarely | 819 | Research & Development | 18 | 5 | Life Sciences | 1 | 1621 | 2 | Male | 48 | 4 | 2 | Research Scientist | 1 | Married | 5208 | 26312 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 2 | 3 | 16 | 15 | 1 | 10 |
| 28 | No | Travel_Rarely | 580 | Research & Development | 27 | 3 | Medical | 1 | 1622 | 2 | Female | 39 | 1 | 2 | Manufacturing Director | 1 | Divorced | 4877 | 20460 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 0 |
| 21 | No | Travel_Rarely | 546 | Research & Development | 5 | 1 | Medical | 1 | 1623 | 3 | Male | 97 | 3 | 1 | Research Scientist | 4 | Single | 3117 | 26009 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
| 18 | Yes | Travel_Frequently | 544 | Sales | 3 | 2 | Medical | 1 | 1624 | 2 | Female | 70 | 3 | 1 | Sales Representative | 4 | Single | 1569 | 18420 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 |
| 47 | No | Travel_Rarely | 1176 | Human Resources | 26 | 4 | Life Sciences | 1 | 1625 | 4 | Female | 98 | 3 | 5 | Manager | 3 | Married | 19658 | 5220 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 5 | 2 | 1 | 0 |
| 39 | No | Travel_Rarely | 170 | Research & Development | 3 | 2 | Medical | 1 | 1627 | 3 | Male | 76 | 2 | 2 | Laboratory Technician | 3 | Divorced | 3069 | 10302 | 0 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 10 | 8 | 0 | 7 |
| 40 | No | Travel_Rarely | 884 | Research & Development | 15 | 3 | Life Sciences | 1 | 1628 | 1 | Female | 80 | 2 | 3 | Manufacturing Director | 3 | Married | 10435 | 25800 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 18 | 2 | 3 | 18 | 15 | 14 | 12 |
| 35 | No | Non-Travel | 208 | Research & Development | 8 | 4 | Life Sciences | 1 | 1630 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 3 | Married | 4148 | 12250 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 15 | 5 | 3 | 14 | 11 | 2 | 9 |
| 37 | No | Travel_Rarely | 671 | Research & Development | 19 | 3 | Life Sciences | 1 | 1631 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 3 | Married | 5768 | 26493 | 3 | Y | No | 17 | 3 | 1 | 80 | 3 | 9 | 2 | 2 | 4 | 3 | 0 | 2 |
| 39 | No | Travel_Frequently | 711 | Research & Development | 4 | 3 | Medical | 1 | 1633 | 1 | Female | 81 | 3 | 2 | Manufacturing Director | 3 | Single | 5042 | 3140 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 1 | 9 | 2 | 3 | 8 |
| 45 | No | Travel_Rarely | 1329 | Research & Development | 2 | 2 | Other | 1 | 1635 | 4 | Female | 59 | 2 | 2 | Manufacturing Director | 4 | Divorced | 5770 | 5388 | 1 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 3 | 9 |
| 38 | No | Travel_Rarely | 397 | Research & Development | 2 | 2 | Medical | 1 | 1638 | 4 | Female | 54 | 2 | 3 | Manufacturing Director | 3 | Married | 7756 | 14199 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 10 | 6 | 4 | 5 | 4 | 0 | 2 |
| 35 | Yes | Travel_Rarely | 737 | Sales | 10 | 3 | Medical | 1 | 1639 | 4 | Male | 55 | 2 | 3 | Sales Executive | 1 | Married | 10306 | 21530 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 15 | 3 | 3 | 13 | 12 | 6 | 0 |
| 37 | No | Travel_Rarely | 1470 | Research & Development | 10 | 3 | Medical | 1 | 1640 | 2 | Female | 71 | 3 | 1 | Research Scientist | 2 | Married | 3936 | 9953 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 2 | 1 | 8 | 4 | 7 | 7 |
| 40 | No | Travel_Rarely | 448 | Research & Development | 16 | 3 | Life Sciences | 1 | 1641 | 3 | Female | 84 | 3 | 3 | Manufacturing Director | 4 | Single | 7945 | 19948 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 4 | 2 | 3 | 3 |
| 44 | No | Travel_Frequently | 602 | Human Resources | 1 | 5 | Human Resources | 1 | 1642 | 1 | Male | 37 | 3 | 2 | Human Resources | 4 | Married | 5743 | 10503 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 14 | 3 | 3 | 10 | 7 | 0 | 2 |
| 48 | No | Travel_Frequently | 365 | Research & Development | 4 | 5 | Medical | 1 | 1644 | 3 | Male | 89 | 2 | 4 | Manager | 4 | Married | 15202 | 5602 | 2 | Y | No | 25 | 4 | 2 | 80 | 1 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
| 35 | Yes | Travel_Rarely | 763 | Sales | 15 | 2 | Medical | 1 | 1645 | 1 | Male | 59 | 1 | 2 | Sales Executive | 4 | Divorced | 5440 | 22098 | 6 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
| 24 | No | Travel_Frequently | 567 | Research & Development | 2 | 1 | Technical Degree | 1 | 1646 | 1 | Female | 32 | 3 | 1 | Research Scientist | 4 | Single | 3760 | 17218 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 6 | 3 | 1 | 3 |
| 27 | No | Travel_Rarely | 486 | Research & Development | 8 | 3 | Medical | 1 | 1647 | 2 | Female | 86 | 4 | 1 | Research Scientist | 3 | Married | 3517 | 22490 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 5 | 0 | 3 | 3 | 2 | 0 | 2 |
| 27 | No | Travel_Frequently | 591 | Research & Development | 2 | 3 | Medical | 1 | 1648 | 4 | Male | 87 | 3 | 1 | Research Scientist | 4 | Single | 2580 | 6297 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
| 40 | Yes | Travel_Rarely | 1329 | Research & Development | 7 | 3 | Life Sciences | 1 | 1649 | 1 | Male | 73 | 3 | 1 | Laboratory Technician | 1 | Single | 2166 | 3339 | 3 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 10 | 3 | 1 | 4 | 2 | 0 | 3 |
| 29 | No | Travel_Rarely | 469 | Sales | 10 | 3 | Medical | 1 | 1650 | 3 | Male | 42 | 2 | 2 | Sales Executive | 3 | Single | 5869 | 23413 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 5 | 2 | 1 | 4 |
| 36 | No | Travel_Rarely | 711 | Research & Development | 5 | 4 | Life Sciences | 1 | 1651 | 2 | Female | 42 | 3 | 3 | Healthcare Representative | 1 | Married | 8008 | 22792 | 4 | Y | No | 12 | 3 | 3 | 80 | 2 | 9 | 6 | 3 | 3 | 2 | 0 | 2 |
| 25 | No | Travel_Frequently | 772 | Research & Development | 2 | 1 | Life Sciences | 1 | 1653 | 4 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5206 | 4973 | 1 | Y | No | 17 | 3 | 3 | 80 | 2 | 7 | 6 | 3 | 7 | 7 | 0 | 7 |
| 39 | No | Travel_Rarely | 492 | Research & Development | 12 | 3 | Medical | 1 | 1654 | 4 | Male | 66 | 3 | 2 | Manufacturing Director | 2 | Married | 5295 | 7693 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 7 | 3 | 3 | 5 | 4 | 1 | 0 |
| 49 | No | Travel_Rarely | 301 | Research & Development | 22 | 4 | Other | 1 | 1655 | 1 | Female | 72 | 3 | 4 | Research Director | 2 | Married | 16413 | 3498 | 3 | Y | No | 16 | 3 | 2 | 80 | 2 | 27 | 2 | 3 | 4 | 2 | 1 | 2 |
| 50 | No | Travel_Rarely | 813 | Research & Development | 17 | 5 | Life Sciences | 1 | 1656 | 4 | Female | 50 | 2 | 3 | Research Director | 1 | Divorced | 13269 | 21981 | 5 | Y | No | 15 | 3 | 3 | 80 | 3 | 19 | 3 | 3 | 14 | 11 | 1 | 11 |
| 20 | No | Travel_Rarely | 1141 | Sales | 2 | 3 | Medical | 1 | 1657 | 3 | Female | 31 | 3 | 1 | Sales Representative | 3 | Single | 2783 | 13251 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 34 | No | Travel_Rarely | 1130 | Research & Development | 3 | 3 | Life Sciences | 1 | 1658 | 4 | Female | 66 | 3 | 2 | Research Scientist | 2 | Divorced | 5433 | 19332 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 2 | 3 | 11 | 8 | 7 | 9 |
| 36 | No | Travel_Rarely | 311 | Research & Development | 7 | 3 | Life Sciences | 1 | 1659 | 1 | Male | 77 | 3 | 1 | Laboratory Technician | 2 | Single | 2013 | 10950 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 4 | 3 | 4 | 3 | 1 | 3 |
| 49 | No | Travel_Rarely | 465 | Research & Development | 6 | 1 | Life Sciences | 1 | 1661 | 3 | Female | 41 | 2 | 4 | Healthcare Representative | 3 | Married | 13966 | 11652 | 2 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 30 | 3 | 3 | 15 | 11 | 2 | 12 |
| 36 | No | Non-Travel | 894 | Research & Development | 1 | 4 | Medical | 1 | 1662 | 4 | Female | 33 | 2 | 2 | Manufacturing Director | 3 | Married | 4374 | 15411 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 4 | 6 | 3 | 3 | 2 | 1 | 2 |
| 36 | No | Travel_Rarely | 1040 | Research & Development | 3 | 2 | Life Sciences | 1 | 1664 | 4 | Male | 79 | 4 | 2 | Healthcare Representative | 1 | Divorced | 6842 | 26308 | 6 | Y | No | 20 | 4 | 1 | 80 | 1 | 13 | 3 | 3 | 5 | 4 | 0 | 4 |
| 54 | No | Travel_Rarely | 584 | Research & Development | 22 | 5 | Medical | 1 | 1665 | 2 | Female | 91 | 3 | 4 | Manager | 3 | Married | 17426 | 18685 | 3 | Y | No | 25 | 4 | 3 | 80 | 1 | 36 | 6 | 3 | 10 | 8 | 4 | 7 |
| 43 | No | Travel_Rarely | 1291 | Research & Development | 15 | 2 | Life Sciences | 1 | 1666 | 3 | Male | 65 | 2 | 4 | Research Director | 3 | Married | 17603 | 3525 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 14 | 3 | 3 | 14 | 10 | 6 | 11 |
| 35 | Yes | Travel_Frequently | 880 | Sales | 12 | 4 | Other | 1 | 1667 | 4 | Male | 36 | 3 | 2 | Sales Executive | 4 | Single | 4581 | 10414 | 3 | Y | Yes | 24 | 4 | 1 | 80 | 0 | 13 | 2 | 4 | 11 | 9 | 6 | 7 |
| 38 | No | Travel_Frequently | 1189 | Research & Development | 1 | 3 | Life Sciences | 1 | 1668 | 4 | Male | 90 | 3 | 2 | Research Scientist | 4 | Married | 4735 | 9867 | 7 | Y | No | 15 | 3 | 4 | 80 | 2 | 19 | 4 | 4 | 13 | 11 | 2 | 9 |
| 29 | No | Travel_Rarely | 991 | Sales | 5 | 3 | Medical | 1 | 1669 | 1 | Male | 43 | 2 | 2 | Sales Executive | 2 | Divorced | 4187 | 3356 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 10 | 0 | 0 | 9 |
| 33 | No | Travel_Rarely | 392 | Sales | 2 | 4 | Medical | 1 | 1670 | 4 | Male | 93 | 3 | 2 | Sales Executive | 4 | Divorced | 5505 | 3921 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 5 | 3 | 6 | 2 | 0 | 4 |
| 32 | No | Travel_Rarely | 977 | Research & Development | 2 | 3 | Medical | 1 | 1671 | 4 | Male | 45 | 3 | 2 | Research Scientist | 2 | Divorced | 5470 | 25518 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 10 | 4 | 2 | 9 | 5 | 1 | 6 |
| 31 | No | Travel_Rarely | 1112 | Sales | 5 | 4 | Life Sciences | 1 | 1673 | 1 | Female | 67 | 3 | 2 | Sales Executive | 4 | Married | 5476 | 22589 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 10 | 0 | 0 | 2 |
| 49 | No | Travel_Rarely | 464 | Research & Development | 16 | 3 | Medical | 1 | 1674 | 4 | Female | 74 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2587 | 24941 | 4 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 17 | 2 | 2 | 2 | 2 | 2 | 2 |
| 38 | No | Travel_Frequently | 148 | Research & Development | 2 | 3 | Medical | 1 | 1675 | 4 | Female | 42 | 2 | 1 | Laboratory Technician | 2 | Single | 2440 | 23826 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 3 | 3 | 3 |
| 47 | No | Travel_Rarely | 1225 | Sales | 2 | 4 | Life Sciences | 1 | 1676 | 2 | Female | 47 | 4 | 4 | Manager | 2 | Divorced | 15972 | 21086 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 29 | 2 | 3 | 3 | 2 | 1 | 2 |
| 49 | No | Travel_Rarely | 809 | Research & Development | 1 | 3 | Life Sciences | 1 | 1677 | 3 | Male | 36 | 3 | 4 | Manager | 3 | Single | 15379 | 22384 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 23 | 2 | 3 | 8 | 7 | 0 | 0 |
| 41 | No | Travel_Rarely | 1206 | Sales | 23 | 2 | Life Sciences | 1 | 1678 | 4 | Male | 80 | 3 | 3 | Sales Executive | 3 | Single | 7082 | 11591 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 2 | 0 | 0 | 2 |
| 20 | No | Travel_Rarely | 727 | Sales | 9 | 1 | Life Sciences | 1 | 1680 | 4 | Male | 54 | 3 | 1 | Sales Representative | 1 | Single | 2728 | 21082 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 33 | No | Non-Travel | 530 | Sales | 16 | 3 | Life Sciences | 1 | 1681 | 3 | Female | 36 | 3 | 2 | Sales Executive | 4 | Divorced | 5368 | 16130 | 1 | Y | Yes | 25 | 4 | 3 | 80 | 1 | 7 | 2 | 3 | 6 | 5 | 1 | 2 |
| 36 | No | Travel_Rarely | 1351 | Research & Development | 26 | 4 | Life Sciences | 1 | 1682 | 1 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5347 | 7419 | 6 | Y | No | 14 | 3 | 2 | 80 | 2 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
| 44 | No | Travel_Rarely | 528 | Human Resources | 1 | 3 | Life Sciences | 1 | 1683 | 3 | Female | 44 | 3 | 1 | Human Resources | 4 | Divorced | 3195 | 4167 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 23 | Yes | Travel_Rarely | 1320 | Research & Development | 8 | 1 | Medical | 1 | 1684 | 4 | Male | 93 | 2 | 1 | Laboratory Technician | 3 | Single | 3989 | 20586 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
| 38 | No | Travel_Rarely | 1495 | Research & Development | 4 | 2 | Medical | 1 | 1687 | 4 | Female | 87 | 3 | 1 | Laboratory Technician | 3 | Married | 3306 | 26176 | 7 | Y | No | 19 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 0 | 0 | 0 | 0 |
| 53 | No | Travel_Rarely | 1395 | Research & Development | 24 | 4 | Medical | 1 | 1689 | 2 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Married | 7005 | 3458 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 4 | 3 | 1 | 2 |
| 48 | Yes | Travel_Frequently | 708 | Sales | 7 | 2 | Medical | 1 | 1691 | 4 | Female | 95 | 3 | 1 | Sales Representative | 3 | Married | 2655 | 11740 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 19 | 3 | 3 | 9 | 7 | 7 | 7 |
| 32 | Yes | Travel_Rarely | 1259 | Research & Development | 2 | 4 | Life Sciences | 1 | 1692 | 4 | Male | 95 | 3 | 1 | Laboratory Technician | 2 | Single | 1393 | 24852 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 26 | No | Non-Travel | 786 | Research & Development | 7 | 3 | Medical | 1 | 1693 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 4 | Single | 2570 | 11925 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 5 | 7 |
| 55 | No | Travel_Rarely | 1441 | Research & Development | 22 | 3 | Technical Degree | 1 | 1694 | 1 | Male | 94 | 2 | 1 | Research Scientist | 2 | Divorced | 3537 | 23737 | 5 | Y | No | 12 | 3 | 4 | 80 | 1 | 8 | 1 | 3 | 4 | 2 | 1 | 2 |
| 34 | No | Travel_Rarely | 1157 | Research & Development | 5 | 2 | Medical | 1 | 1696 | 2 | Male | 57 | 2 | 2 | Laboratory Technician | 4 | Married | 3986 | 11912 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 4 | 15 | 10 | 4 | 13 |
| 60 | No | Travel_Rarely | 370 | Research & Development | 1 | 4 | Medical | 1 | 1697 | 3 | Male | 92 | 1 | 3 | Healthcare Representative | 4 | Divorced | 10883 | 20467 | 3 | Y | No | 20 | 4 | 3 | 80 | 1 | 19 | 2 | 4 | 1 | 0 | 0 | 0 |
| 33 | No | Travel_Rarely | 267 | Research & Development | 21 | 3 | Medical | 1 | 1698 | 2 | Male | 79 | 4 | 1 | Laboratory Technician | 2 | Married | 2028 | 13637 | 1 | Y | No | 18 | 3 | 4 | 80 | 3 | 14 | 6 | 3 | 14 | 11 | 2 | 13 |
| 37 | No | Travel_Frequently | 1278 | Sales | 1 | 4 | Medical | 1 | 1700 | 3 | Male | 31 | 1 | 2 | Sales Executive | 4 | Divorced | 9525 | 7677 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 2 | 2 | 6 | 3 | 1 | 3 |
| 34 | No | Travel_Rarely | 678 | Research & Development | 19 | 3 | Life Sciences | 1 | 1701 | 2 | Female | 35 | 2 | 1 | Research Scientist | 4 | Married | 2929 | 20338 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 7 |
| 23 | Yes | Travel_Rarely | 427 | Sales | 7 | 3 | Life Sciences | 1 | 1702 | 3 | Male | 99 | 3 | 1 | Sales Representative | 4 | Divorced | 2275 | 25103 | 1 | Y | Yes | 21 | 4 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 44 | No | Travel_Rarely | 921 | Research & Development | 2 | 3 | Life Sciences | 1 | 1703 | 3 | Female | 96 | 4 | 3 | Healthcare Representative | 4 | Married | 7879 | 14810 | 1 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 9 | 2 | 3 | 8 | 7 | 6 | 7 |
| 35 | No | Travel_Frequently | 146 | Research & Development | 2 | 4 | Medical | 1 | 1704 | 1 | Male | 79 | 2 | 1 | Research Scientist | 4 | Single | 4930 | 13970 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
| 43 | No | Travel_Rarely | 1179 | Sales | 2 | 3 | Medical | 1 | 1706 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Married | 7847 | 6069 | 1 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 9 | 8 | 8 |
| 24 | No | Travel_Rarely | 581 | Research & Development | 9 | 3 | Medical | 1 | 1707 | 3 | Male | 62 | 4 | 1 | Research Scientist | 3 | Married | 4401 | 17616 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 5 | 1 | 3 | 5 | 3 | 0 | 4 |
| 41 | No | Travel_Rarely | 918 | Sales | 6 | 3 | Marketing | 1 | 1708 | 4 | Male | 35 | 3 | 3 | Sales Executive | 3 | Single | 9241 | 15869 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 8 | 7 |
| 29 | No | Travel_Rarely | 1082 | Research & Development | 9 | 4 | Medical | 1 | 1709 | 4 | Female | 43 | 3 | 1 | Laboratory Technician | 3 | Married | 2974 | 25412 | 9 | Y | No | 17 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 5 | 3 | 1 | 2 |
| 36 | No | Travel_Rarely | 530 | Sales | 2 | 4 | Life Sciences | 1 | 1710 | 3 | Female | 51 | 3 | 2 | Sales Representative | 4 | Single | 4502 | 7439 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 17 | 2 | 2 | 13 | 7 | 6 | 7 |
| 45 | No | Non-Travel | 1238 | Research & Development | 1 | 1 | Life Sciences | 1 | 1712 | 3 | Male | 74 | 2 | 3 | Healthcare Representative | 3 | Married | 10748 | 3395 | 3 | Y | No | 23 | 4 | 4 | 80 | 1 | 25 | 3 | 2 | 23 | 15 | 14 | 4 |
| 24 | Yes | Travel_Rarely | 240 | Human Resources | 22 | 1 | Human Resources | 1 | 1714 | 4 | Male | 58 | 1 | 1 | Human Resources | 3 | Married | 1555 | 11585 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 47 | Yes | Travel_Frequently | 1093 | Sales | 9 | 3 | Life Sciences | 1 | 1716 | 3 | Male | 82 | 1 | 4 | Sales Executive | 3 | Married | 12936 | 24164 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 25 | 3 | 1 | 23 | 5 | 14 | 10 |
| 26 | No | Travel_Rarely | 390 | Research & Development | 17 | 4 | Medical | 1 | 1718 | 4 | Male | 62 | 1 | 1 | Laboratory Technician | 3 | Married | 2305 | 6217 | 1 | Y | No | 15 | 3 | 3 | 80 | 3 | 3 | 3 | 4 | 3 | 2 | 0 | 2 |
| 45 | No | Travel_Rarely | 1005 | Research & Development | 28 | 2 | Technical Degree | 1 | 1719 | 4 | Female | 48 | 2 | 4 | Research Director | 2 | Single | 16704 | 17119 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 8 | 6 |
| 32 | No | Travel_Frequently | 585 | Research & Development | 10 | 3 | Life Sciences | 1 | 1720 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Married | 3433 | 17360 | 6 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 5 | 2 | 1 | 3 |
| 31 | No | Travel_Rarely | 741 | Research & Development | 2 | 4 | Life Sciences | 1 | 1721 | 2 | Male | 69 | 3 | 1 | Laboratory Technician | 3 | Married | 3477 | 18103 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 6 | 2 | 4 | 5 | 2 | 0 | 3 |
| 41 | No | Non-Travel | 552 | Human Resources | 4 | 3 | Human Resources | 1 | 1722 | 3 | Male | 60 | 1 | 2 | Human Resources | 2 | Married | 6430 | 20794 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 10 | 4 | 3 | 3 | 2 | 1 | 2 |
| 40 | No | Travel_Rarely | 369 | Research & Development | 8 | 2 | Life Sciences | 1 | 1724 | 2 | Female | 92 | 3 | 2 | Manufacturing Director | 1 | Married | 6516 | 5041 | 2 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 18 | 3 | 3 | 1 | 0 | 0 | 0 |
| 24 | No | Travel_Rarely | 506 | Research & Development | 29 | 1 | Medical | 1 | 1725 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3907 | 3622 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 6 | 2 | 4 | 6 | 2 | 1 | 2 |
| 46 | No | Travel_Rarely | 717 | Research & Development | 13 | 4 | Life Sciences | 1 | 1727 | 3 | Male | 34 | 3 | 2 | Healthcare Representative | 2 | Single | 5562 | 9697 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 19 | 3 | 3 | 10 | 7 | 0 | 9 |
| 35 | No | Travel_Rarely | 1370 | Research & Development | 27 | 4 | Life Sciences | 1 | 1728 | 4 | Male | 49 | 3 | 2 | Manufacturing Director | 3 | Married | 6883 | 5151 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 17 | 3 | 3 | 7 | 7 | 0 | 7 |
| 30 | No | Travel_Rarely | 793 | Research & Development | 16 | 1 | Life Sciences | 1 | 1729 | 2 | Male | 33 | 3 | 1 | Research Scientist | 4 | Married | 2862 | 3811 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 2 | 10 | 0 | 0 | 8 |
| 47 | No | Non-Travel | 543 | Sales | 2 | 4 | Marketing | 1 | 1731 | 3 | Male | 87 | 3 | 2 | Sales Executive | 2 | Married | 4978 | 3536 | 7 | Y | No | 11 | 3 | 4 | 80 | 1 | 4 | 3 | 1 | 1 | 0 | 0 | 0 |
| 46 | No | Travel_Rarely | 1277 | Sales | 2 | 3 | Life Sciences | 1 | 1732 | 3 | Male | 74 | 3 | 3 | Sales Executive | 4 | Divorced | 10368 | 5596 | 4 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 2 | 10 | 6 | 0 | 3 |
| 36 | Yes | Travel_Rarely | 1456 | Sales | 13 | 5 | Marketing | 1 | 1733 | 2 | Male | 96 | 2 | 2 | Sales Executive | 1 | Divorced | 6134 | 8658 | 5 | Y | Yes | 13 | 3 | 2 | 80 | 3 | 16 | 3 | 3 | 2 | 2 | 2 | 2 |
| 32 | Yes | Travel_Rarely | 964 | Sales | 1 | 2 | Life Sciences | 1 | 1734 | 1 | Male | 34 | 1 | 2 | Sales Executive | 2 | Single | 6735 | 12147 | 6 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
| 23 | No | Travel_Rarely | 160 | Research & Development | 4 | 1 | Medical | 1 | 1735 | 3 | Female | 51 | 3 | 1 | Laboratory Technician | 2 | Single | 3295 | 12862 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 3 | 3 | 1 | 3 | 2 | 1 | 2 |
| 31 | No | Travel_Frequently | 163 | Research & Development | 24 | 1 | Technical Degree | 1 | 1736 | 4 | Female | 30 | 3 | 2 | Manufacturing Director | 4 | Single | 5238 | 6670 | 2 | Y | No | 20 | 4 | 4 | 80 | 0 | 9 | 3 | 2 | 5 | 4 | 1 | 4 |
| 39 | No | Non-Travel | 792 | Research & Development | 1 | 3 | Life Sciences | 1 | 1737 | 4 | Male | 77 | 3 | 2 | Laboratory Technician | 4 | Married | 6472 | 8989 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 5 | 8 |
| 32 | No | Travel_Rarely | 371 | Sales | 19 | 3 | Life Sciences | 1 | 1739 | 4 | Male | 80 | 1 | 3 | Sales Executive | 3 | Married | 9610 | 3840 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 10 | 2 | 1 | 4 | 3 | 0 | 2 |
| 40 | No | Travel_Rarely | 611 | Sales | 7 | 4 | Medical | 1 | 1740 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Single | 19833 | 4349 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 21 | 3 | 2 | 21 | 8 | 12 | 8 |
| 45 | No | Travel_Rarely | 176 | Human Resources | 4 | 3 | Life Sciences | 1 | 1744 | 3 | Female | 56 | 1 | 3 | Human Resources | 3 | Married | 9756 | 6595 | 4 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 2 | 4 | 5 | 0 | 0 | 3 |
| 30 | No | Travel_Frequently | 1312 | Research & Development | 2 | 4 | Technical Degree | 1 | 1745 | 4 | Female | 78 | 2 | 1 | Research Scientist | 1 | Single | 4968 | 26427 | 0 | Y | No | 16 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 0 | 7 |
| 24 | No | Travel_Frequently | 897 | Human Resources | 10 | 3 | Medical | 1 | 1746 | 1 | Male | 59 | 3 | 1 | Human Resources | 4 | Married | 2145 | 2097 | 0 | Y | No | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 1 |
| 30 | Yes | Travel_Frequently | 600 | Human Resources | 8 | 3 | Human Resources | 1 | 1747 | 3 | Female | 66 | 2 | 1 | Human Resources | 4 | Divorced | 2180 | 9732 | 6 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
| 31 | No | Travel_Rarely | 1003 | Sales | 5 | 3 | Technical Degree | 1 | 1749 | 1 | Male | 51 | 3 | 2 | Sales Executive | 3 | Married | 8346 | 20943 | 1 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 5 | 2 | 0 | 2 |
| 27 | No | Travel_Rarely | 1054 | Research & Development | 8 | 3 | Medical | 1 | 1751 | 3 | Female | 67 | 3 | 1 | Research Scientist | 4 | Single | 3445 | 6152 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 5 | 2 | 6 | 2 | 1 | 4 |
| 29 | Yes | Travel_Rarely | 428 | Sales | 9 | 3 | Marketing | 1 | 1752 | 2 | Female | 52 | 1 | 1 | Sales Representative | 2 | Single | 2760 | 14630 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 29 | No | Travel_Frequently | 461 | Research & Development | 1 | 3 | Life Sciences | 1 | 1753 | 4 | Male | 70 | 4 | 2 | Healthcare Representative | 3 | Single | 6294 | 23060 | 8 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 5 | 4 | 3 | 2 | 0 | 2 |
| 30 | No | Travel_Rarely | 979 | Sales | 15 | 2 | Marketing | 1 | 1754 | 3 | Male | 94 | 2 | 3 | Sales Executive | 1 | Divorced | 7140 | 3088 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 7 | 1 | 7 |
| 34 | No | Travel_Rarely | 181 | Research & Development | 2 | 4 | Medical | 1 | 1755 | 4 | Male | 97 | 4 | 1 | Research Scientist | 4 | Married | 2932 | 5586 | 0 | Y | Yes | 14 | 3 | 1 | 80 | 3 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
| 33 | No | Non-Travel | 1283 | Sales | 2 | 3 | Marketing | 1 | 1756 | 4 | Female | 62 | 3 | 2 | Sales Executive | 2 | Single | 5147 | 10697 | 8 | Y | No | 15 | 3 | 4 | 80 | 0 | 13 | 2 | 2 | 11 | 7 | 1 | 7 |
| 49 | No | Travel_Rarely | 1313 | Sales | 11 | 4 | Marketing | 1 | 1757 | 4 | Female | 80 | 3 | 2 | Sales Executive | 4 | Single | 4507 | 8191 | 3 | Y | No | 12 | 3 | 3 | 80 | 0 | 8 | 1 | 4 | 5 | 1 | 0 | 4 |
| 33 | Yes | Travel_Rarely | 211 | Sales | 16 | 3 | Life Sciences | 1 | 1758 | 1 | Female | 74 | 3 | 3 | Sales Executive | 1 | Single | 8564 | 10092 | 2 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 2 | 0 | 0 | 0 | 0 |
| 38 | No | Travel_Frequently | 594 | Research & Development | 2 | 2 | Medical | 1 | 1760 | 3 | Female | 75 | 2 | 1 | Laboratory Technician | 2 | Married | 2468 | 15963 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 4 | 2 | 6 | 1 | 0 | 5 |
| 31 | Yes | Travel_Rarely | 1079 | Sales | 16 | 4 | Marketing | 1 | 1761 | 1 | Male | 70 | 3 | 3 | Sales Executive | 3 | Married | 8161 | 19002 | 2 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 29 | No | Travel_Rarely | 590 | Research & Development | 4 | 3 | Technical Degree | 1 | 1762 | 4 | Female | 91 | 2 | 1 | Research Scientist | 1 | Divorced | 2109 | 10007 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 30 | No | Travel_Rarely | 305 | Research & Development | 16 | 3 | Life Sciences | 1 | 1763 | 3 | Male | 58 | 4 | 2 | Healthcare Representative | 3 | Married | 5294 | 9128 | 3 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 0 | 1 | 7 |
| 32 | No | Non-Travel | 953 | Research & Development | 5 | 4 | Technical Degree | 1 | 1764 | 2 | Male | 65 | 3 | 1 | Research Scientist | 2 | Single | 2718 | 17674 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
| 38 | No | Travel_Rarely | 833 | Research & Development | 18 | 3 | Medical | 1 | 1766 | 2 | Male | 60 | 1 | 2 | Healthcare Representative | 4 | Married | 5811 | 24539 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 1 | 0 |
| 43 | Yes | Travel_Frequently | 807 | Research & Development | 17 | 3 | Technical Degree | 1 | 1767 | 3 | Male | 38 | 2 | 1 | Research Scientist | 3 | Married | 2437 | 15587 | 9 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
| 42 | No | Travel_Rarely | 855 | Research & Development | 12 | 3 | Medical | 1 | 1768 | 2 | Male | 57 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2766 | 8952 | 8 | Y | No | 22 | 4 | 2 | 80 | 3 | 7 | 6 | 2 | 5 | 3 | 0 | 4 |
| 55 | No | Travel_Rarely | 478 | Research & Development | 2 | 3 | Medical | 1 | 1770 | 3 | Male | 60 | 2 | 5 | Research Director | 1 | Married | 19038 | 19805 | 8 | Y | No | 12 | 3 | 2 | 80 | 3 | 34 | 2 | 3 | 1 | 0 | 0 | 0 |
| 33 | No | Non-Travel | 775 | Research & Development | 4 | 3 | Technical Degree | 1 | 1771 | 4 | Male | 90 | 3 | 2 | Research Scientist | 2 | Divorced | 3055 | 6194 | 5 | Y | No | 15 | 3 | 4 | 80 | 2 | 11 | 2 | 2 | 9 | 8 | 1 | 7 |
| 41 | No | Travel_Rarely | 548 | Research & Development | 9 | 4 | Life Sciences | 1 | 1772 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2289 | 20520 | 1 | Y | No | 20 | 4 | 2 | 80 | 2 | 5 | 2 | 3 | 5 | 3 | 0 | 4 |
| 34 | No | Non-Travel | 1375 | Sales | 10 | 3 | Life Sciences | 1 | 1774 | 4 | Male | 87 | 3 | 2 | Sales Executive | 3 | Divorced | 4001 | 12313 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 0 | 7 |
| 53 | No | Non-Travel | 661 | Research & Development | 1 | 4 | Medical | 1 | 1775 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 3 | Married | 12965 | 22308 | 4 | Y | Yes | 20 | 4 | 4 | 80 | 3 | 27 | 2 | 2 | 3 | 2 | 0 | 2 |
| 43 | No | Travel_Rarely | 244 | Human Resources | 2 | 3 | Life Sciences | 1 | 1778 | 2 | Male | 97 | 3 | 1 | Human Resources | 4 | Single | 3539 | 5033 | 0 | Y | No | 13 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 9 | 7 | 1 | 8 |
| 34 | No | Travel_Rarely | 511 | Sales | 3 | 2 | Life Sciences | 1 | 1779 | 4 | Female | 32 | 1 | 2 | Sales Executive | 4 | Single | 6029 | 25353 | 5 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 21 | Yes | Travel_Rarely | 337 | Sales | 7 | 1 | Marketing | 1 | 1780 | 2 | Male | 31 | 3 | 1 | Sales Representative | 2 | Single | 2679 | 4567 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
| 38 | No | Travel_Rarely | 1153 | Research & Development | 6 | 2 | Other | 1 | 1782 | 4 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Married | 3702 | 16376 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
| 22 | Yes | Travel_Rarely | 1294 | Research & Development | 8 | 1 | Medical | 1 | 1783 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 1 | Married | 2398 | 15999 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 31 | No | Travel_Rarely | 196 | Sales | 29 | 4 | Marketing | 1 | 1784 | 1 | Female | 91 | 2 | 2 | Sales Executive | 4 | Married | 5468 | 13402 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 13 | 3 | 3 | 12 | 7 | 5 | 7 |
| 51 | No | Travel_Rarely | 942 | Research & Development | 3 | 3 | Technical Degree | 1 | 1786 | 1 | Female | 53 | 3 | 3 | Manager | 3 | Married | 13116 | 22984 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 2 | 2 | 2 | 2 |
| 37 | No | Travel_Rarely | 589 | Sales | 9 | 2 | Marketing | 1 | 1787 | 2 | Male | 46 | 2 | 2 | Sales Executive | 2 | Married | 4189 | 8800 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 5 | 2 | 0 | 3 |
| 46 | No | Travel_Rarely | 734 | Research & Development | 2 | 4 | Medical | 1 | 1789 | 3 | Male | 46 | 3 | 5 | Research Director | 4 | Divorced | 19328 | 14218 | 7 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 24 | 3 | 3 | 2 | 1 | 2 | 2 |
| 36 | No | Travel_Rarely | 1383 | Research & Development | 10 | 3 | Life Sciences | 1 | 1790 | 4 | Male | 90 | 3 | 3 | Healthcare Representative | 1 | Married | 8321 | 25949 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 15 | 1 | 3 | 12 | 8 | 5 | 7 |
| 44 | Yes | Travel_Frequently | 429 | Research & Development | 1 | 2 | Medical | 1 | 1792 | 3 | Male | 99 | 3 | 1 | Research Scientist | 2 | Divorced | 2342 | 11092 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 2 | 5 | 3 | 2 | 3 |
| 37 | No | Travel_Rarely | 1239 | Human Resources | 8 | 2 | Other | 1 | 1794 | 3 | Male | 89 | 3 | 2 | Human Resources | 2 | Divorced | 4071 | 12832 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 19 | 4 | 2 | 10 | 0 | 4 | 7 |
| 35 | Yes | Travel_Rarely | 303 | Sales | 27 | 3 | Life Sciences | 1 | 1797 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Single | 5813 | 13492 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 7 | 7 | 7 |
| 33 | No | Travel_Rarely | 867 | Research & Development | 8 | 4 | Life Sciences | 1 | 1798 | 4 | Male | 90 | 4 | 1 | Research Scientist | 1 | Married | 3143 | 6076 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 14 | 1 | 3 | 10 | 8 | 7 | 6 |
| 28 | No | Travel_Rarely | 1181 | Research & Development | 1 | 3 | Life Sciences | 1 | 1799 | 3 | Male | 82 | 3 | 1 | Research Scientist | 4 | Married | 2044 | 5531 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 6 | 4 | 5 | 3 | 0 | 3 |
| 39 | No | Travel_Rarely | 1253 | Research & Development | 10 | 1 | Medical | 1 | 1800 | 3 | Male | 65 | 3 | 3 | Research Director | 3 | Single | 13464 | 7914 | 7 | Y | No | 21 | 4 | 3 | 80 | 0 | 9 | 3 | 3 | 4 | 3 | 2 | 2 |
| 46 | No | Non-Travel | 849 | Sales | 26 | 2 | Life Sciences | 1 | 1801 | 2 | Male | 98 | 2 | 2 | Sales Executive | 2 | Single | 7991 | 25166 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 40 | No | Travel_Rarely | 616 | Research & Development | 2 | 2 | Life Sciences | 1 | 1802 | 3 | Female | 99 | 3 | 1 | Laboratory Technician | 1 | Married | 3377 | 25605 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 4 | 3 | 0 | 2 |
| 42 | No | Travel_Rarely | 1128 | Research & Development | 13 | 3 | Medical | 1 | 1803 | 2 | Male | 95 | 4 | 2 | Healthcare Representative | 1 | Married | 5538 | 5696 | 5 | Y | No | 18 | 3 | 3 | 80 | 2 | 10 | 2 | 2 | 0 | 0 | 0 | 0 |
| 35 | No | Non-Travel | 1180 | Research & Development | 2 | 2 | Medical | 1 | 1804 | 2 | Male | 90 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5762 | 24442 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 6 | 3 | 7 | 7 | 1 | 7 |
| 38 | No | Non-Travel | 1336 | Human Resources | 2 | 3 | Human Resources | 1 | 1805 | 1 | Male | 100 | 3 | 1 | Human Resources | 2 | Divorced | 2592 | 7129 | 5 | Y | No | 13 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 11 | 10 | 3 | 8 |
| 34 | Yes | Travel_Frequently | 234 | Research & Development | 9 | 4 | Life Sciences | 1 | 1807 | 4 | Male | 93 | 3 | 2 | Laboratory Technician | 1 | Married | 5346 | 6208 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 11 | 3 | 2 | 7 | 1 | 0 | 7 |
| 37 | Yes | Travel_Rarely | 370 | Research & Development | 10 | 4 | Medical | 1 | 1809 | 4 | Male | 58 | 3 | 2 | Manufacturing Director | 1 | Single | 4213 | 4992 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 4 | 1 | 10 | 3 | 0 | 8 |
| 39 | No | Travel_Frequently | 766 | Sales | 20 | 3 | Life Sciences | 1 | 1812 | 3 | Male | 83 | 3 | 2 | Sales Executive | 4 | Divorced | 4127 | 19188 | 2 | Y | No | 18 | 3 | 4 | 80 | 1 | 7 | 6 | 3 | 2 | 1 | 2 | 2 |
| 43 | No | Non-Travel | 343 | Research & Development | 9 | 3 | Life Sciences | 1 | 1813 | 1 | Male | 52 | 3 | 1 | Research Scientist | 3 | Single | 2438 | 24978 | 4 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 2 | 2 | 3 | 2 | 1 | 2 |
| 41 | No | Travel_Rarely | 447 | Research & Development | 5 | 3 | Life Sciences | 1 | 1814 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 2 | Single | 6870 | 15530 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 11 | 3 | 1 | 3 | 2 | 1 | 2 |
| 41 | No | Travel_Rarely | 796 | Sales | 4 | 1 | Marketing | 1 | 1815 | 3 | Female | 81 | 3 | 3 | Sales Executive | 3 | Divorced | 10447 | 26458 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 23 | 3 | 4 | 22 | 14 | 13 | 5 |
| 30 | No | Travel_Rarely | 1092 | Research & Development | 10 | 3 | Medical | 1 | 1816 | 1 | Female | 64 | 3 | 3 | Manufacturing Director | 3 | Single | 9667 | 2739 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 7 | 7 | 0 | 2 |
| 26 | Yes | Travel_Rarely | 920 | Human Resources | 20 | 2 | Medical | 1 | 1818 | 4 | Female | 69 | 3 | 1 | Human Resources | 2 | Married | 2148 | 6889 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 1 | 1 | 4 |
| 46 | Yes | Travel_Rarely | 261 | Research & Development | 21 | 2 | Medical | 1 | 1821 | 4 | Female | 66 | 3 | 2 | Healthcare Representative | 2 | Married | 8926 | 10842 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 13 | 2 | 4 | 9 | 7 | 3 | 7 |
| 40 | No | Travel_Rarely | 1194 | Research & Development | 1 | 3 | Life Sciences | 1 | 1822 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6513 | 9060 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 0 | 3 |
| 34 | No | Travel_Rarely | 810 | Sales | 8 | 2 | Technical Degree | 1 | 1823 | 2 | Male | 92 | 4 | 2 | Sales Executive | 3 | Married | 6799 | 22128 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 10 | 5 | 3 | 10 | 8 | 4 | 8 |
| 58 | No | Non-Travel | 350 | Sales | 2 | 3 | Medical | 1 | 1824 | 2 | Male | 52 | 3 | 4 | Manager | 2 | Divorced | 16291 | 22577 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 37 | 0 | 2 | 16 | 9 | 14 | 14 |
| 35 | No | Travel_Rarely | 185 | Research & Development | 23 | 4 | Medical | 1 | 1826 | 2 | Male | 91 | 1 | 1 | Laboratory Technician | 3 | Married | 2705 | 9696 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 2 | 4 | 5 | 4 | 0 | 3 |
| 47 | No | Travel_Rarely | 1001 | Research & Development | 4 | 3 | Life Sciences | 1 | 1827 | 3 | Female | 92 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10333 | 19271 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 28 | 4 | 3 | 22 | 11 | 14 | 10 |
| 40 | No | Travel_Rarely | 750 | Research & Development | 12 | 3 | Life Sciences | 1 | 1829 | 2 | Female | 47 | 3 | 2 | Healthcare Representative | 1 | Divorced | 4448 | 10748 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 7 | 4 | 7 | 7 |
| 54 | No | Travel_Rarely | 431 | Research & Development | 7 | 4 | Medical | 1 | 1830 | 4 | Female | 68 | 3 | 2 | Research Scientist | 4 | Married | 6854 | 15696 | 4 | Y | No | 15 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 7 | 1 | 1 | 7 |
| 31 | No | Travel_Frequently | 1125 | Sales | 7 | 4 | Marketing | 1 | 1833 | 1 | Female | 68 | 3 | 3 | Sales Executive | 1 | Married | 9637 | 8277 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 3 | 3 | 2 | 2 | 2 |
| 28 | No | Travel_Rarely | 1217 | Research & Development | 1 | 3 | Medical | 1 | 1834 | 3 | Female | 67 | 3 | 1 | Research Scientist | 1 | Married | 3591 | 12719 | 1 | Y | No | 25 | 4 | 3 | 80 | 1 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
| 38 | No | Travel_Rarely | 723 | Sales | 2 | 4 | Marketing | 1 | 1835 | 2 | Female | 77 | 1 | 2 | Sales Representative | 4 | Married | 5405 | 4244 | 2 | Y | Yes | 20 | 4 | 1 | 80 | 2 | 20 | 4 | 2 | 4 | 2 | 0 | 3 |
| 26 | No | Travel_Rarely | 572 | Sales | 10 | 3 | Medical | 1 | 1836 | 3 | Male | 46 | 3 | 2 | Sales Executive | 4 | Single | 4684 | 9125 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 5 | 3 | 1 | 2 |
| 58 | No | Travel_Frequently | 1216 | Research & Development | 15 | 4 | Life Sciences | 1 | 1837 | 1 | Male | 87 | 3 | 4 | Research Director | 3 | Married | 15787 | 21624 | 2 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
| 18 | No | Non-Travel | 1431 | Research & Development | 14 | 3 | Medical | 1 | 1839 | 2 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 1514 | 8018 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 |
| 31 | Yes | Travel_Rarely | 359 | Human Resources | 18 | 5 | Human Resources | 1 | 1842 | 4 | Male | 89 | 4 | 1 | Human Resources | 1 | Married | 2956 | 21495 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 2 | 4 | 3 | 1 | 0 | 0 | 0 |
| 29 | Yes | Travel_Rarely | 350 | Human Resources | 13 | 3 | Human Resources | 1 | 1844 | 1 | Male | 56 | 2 | 1 | Human Resources | 1 | Divorced | 2335 | 3157 | 4 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
| 45 | No | Non-Travel | 589 | Sales | 2 | 4 | Life Sciences | 1 | 1845 | 3 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 5154 | 19665 | 4 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 3 | 4 | 8 | 7 | 5 | 7 |
| 36 | No | Travel_Rarely | 430 | Research & Development | 2 | 4 | Other | 1 | 1847 | 4 | Female | 73 | 3 | 2 | Research Scientist | 2 | Married | 6962 | 19573 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 0 | 0 |
| 43 | No | Travel_Frequently | 1422 | Sales | 2 | 4 | Life Sciences | 1 | 1849 | 1 | Male | 92 | 3 | 2 | Sales Executive | 4 | Married | 5675 | 19246 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 7 | 5 | 3 | 7 | 7 | 7 | 7 |
| 27 | No | Travel_Frequently | 1297 | Research & Development | 5 | 2 | Life Sciences | 1 | 1850 | 4 | Female | 53 | 3 | 1 | Laboratory Technician | 4 | Single | 2379 | 19826 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 4 | 0 | 2 |
| 29 | No | Travel_Frequently | 574 | Research & Development | 20 | 1 | Medical | 1 | 1852 | 4 | Male | 40 | 3 | 1 | Laboratory Technician | 4 | Married | 3812 | 7003 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 11 | 3 | 4 | 11 | 8 | 3 | 10 |
| 32 | No | Travel_Frequently | 1318 | Sales | 10 | 4 | Marketing | 1 | 1853 | 4 | Male | 79 | 3 | 2 | Sales Executive | 4 | Single | 4648 | 26075 | 8 | Y | No | 13 | 3 | 3 | 80 | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 0 |
| 42 | No | Non-Travel | 355 | Research & Development | 10 | 4 | Technical Degree | 1 | 1854 | 3 | Male | 38 | 3 | 1 | Research Scientist | 3 | Married | 2936 | 6161 | 3 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 1 | 2 | 6 | 3 | 3 | 3 |
| 47 | No | Travel_Rarely | 207 | Research & Development | 9 | 4 | Life Sciences | 1 | 1856 | 2 | Female | 64 | 3 | 1 | Laboratory Technician | 3 | Single | 2105 | 5411 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 0 |
| 46 | No | Travel_Rarely | 706 | Research & Development | 2 | 2 | Life Sciences | 1 | 1857 | 4 | Male | 82 | 3 | 3 | Manufacturing Director | 4 | Divorced | 8578 | 19989 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 12 | 4 | 2 | 9 | 8 | 4 | 7 |
| 28 | No | Non-Travel | 280 | Human Resources | 1 | 2 | Life Sciences | 1 | 1858 | 3 | Male | 43 | 3 | 1 | Human Resources | 4 | Divorced | 2706 | 10494 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 2 | 2 |
| 29 | No | Travel_Rarely | 726 | Research & Development | 29 | 1 | Life Sciences | 1 | 1859 | 4 | Male | 93 | 1 | 2 | Healthcare Representative | 3 | Divorced | 6384 | 21143 | 8 | Y | No | 17 | 3 | 4 | 80 | 2 | 11 | 3 | 3 | 7 | 0 | 1 | 6 |
| 42 | No | Travel_Rarely | 1142 | Research & Development | 8 | 3 | Life Sciences | 1 | 1860 | 4 | Male | 81 | 3 | 1 | Laboratory Technician | 3 | Single | 3968 | 13624 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 0 | 0 | 0 | 0 |
| 32 | Yes | Travel_Rarely | 414 | Sales | 2 | 4 | Marketing | 1 | 1862 | 3 | Male | 82 | 2 | 2 | Sales Executive | 2 | Single | 9907 | 26186 | 7 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 7 | 3 | 2 | 2 | 2 | 2 | 2 |
| 46 | No | Travel_Rarely | 1319 | Sales | 3 | 3 | Technical Degree | 1 | 1863 | 1 | Female | 45 | 4 | 4 | Sales Executive | 1 | Divorced | 13225 | 7739 | 2 | Y | No | 12 | 3 | 4 | 80 | 1 | 25 | 5 | 3 | 19 | 17 | 2 | 8 |
| 27 | No | Travel_Rarely | 728 | Sales | 23 | 1 | Medical | 1 | 1864 | 2 | Female | 36 | 2 | 2 | Sales Representative | 3 | Married | 3540 | 7018 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 5 | 8 |
| 29 | No | Travel_Rarely | 352 | Human Resources | 6 | 1 | Medical | 1 | 1865 | 4 | Male | 87 | 2 | 1 | Human Resources | 2 | Married | 2804 | 15434 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 43 | No | Travel_Rarely | 823 | Research & Development | 6 | 3 | Medical | 1 | 1866 | 1 | Female | 81 | 2 | 5 | Manager | 3 | Married | 19392 | 22539 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 16 | 12 | 6 | 14 |
| 48 | No | Travel_Rarely | 1224 | Research & Development | 10 | 3 | Life Sciences | 1 | 1867 | 4 | Male | 91 | 2 | 5 | Research Director | 2 | Married | 19665 | 13583 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 29 | 3 | 3 | 22 | 10 | 12 | 9 |
| 29 | Yes | Travel_Frequently | 459 | Research & Development | 24 | 2 | Life Sciences | 1 | 1868 | 4 | Male | 73 | 2 | 1 | Research Scientist | 4 | Single | 2439 | 14753 | 1 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 46 | Yes | Travel_Rarely | 1254 | Sales | 10 | 3 | Life Sciences | 1 | 1869 | 3 | Female | 64 | 3 | 3 | Sales Executive | 2 | Married | 7314 | 14011 | 5 | Y | No | 21 | 4 | 3 | 80 | 3 | 14 | 2 | 3 | 8 | 7 | 0 | 7 |
| 27 | No | Travel_Frequently | 1131 | Research & Development | 15 | 3 | Life Sciences | 1 | 1870 | 4 | Female | 77 | 2 | 1 | Research Scientist | 1 | Married | 4774 | 23844 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 8 | 2 | 2 | 7 | 6 | 7 | 3 |
| 39 | No | Travel_Rarely | 835 | Research & Development | 19 | 4 | Other | 1 | 1871 | 4 | Male | 41 | 3 | 2 | Research Scientist | 4 | Divorced | 3902 | 5141 | 8 | Y | No | 14 | 3 | 2 | 80 | 3 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
| 55 | No | Travel_Rarely | 836 | Research & Development | 2 | 4 | Technical Degree | 1 | 1873 | 2 | Male | 98 | 2 | 1 | Research Scientist | 4 | Married | 2662 | 7975 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 19 | 2 | 4 | 5 | 2 | 0 | 4 |
| 28 | No | Travel_Rarely | 1172 | Sales | 3 | 3 | Medical | 1 | 1875 | 2 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2856 | 3692 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 30 | Yes | Travel_Rarely | 945 | Sales | 9 | 3 | Medical | 1 | 1876 | 2 | Male | 89 | 3 | 1 | Sales Representative | 4 | Single | 1081 | 16019 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
| 22 | Yes | Travel_Rarely | 391 | Research & Development | 7 | 1 | Life Sciences | 1 | 1878 | 4 | Male | 75 | 3 | 1 | Research Scientist | 2 | Single | 2472 | 26092 | 1 | Y | Yes | 23 | 4 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 36 | No | Travel_Rarely | 1266 | Sales | 10 | 4 | Technical Degree | 1 | 1880 | 2 | Female | 63 | 2 | 2 | Sales Executive | 3 | Married | 5673 | 6060 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 4 | 3 | 10 | 9 | 1 | 7 |
| 31 | No | Travel_Rarely | 311 | Research & Development | 20 | 3 | Life Sciences | 1 | 1881 | 2 | Male | 89 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4197 | 18624 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 8 | 0 | 2 |
| 34 | No | Travel_Rarely | 1480 | Sales | 4 | 3 | Life Sciences | 1 | 1882 | 3 | Male | 64 | 3 | 3 | Sales Executive | 4 | Married | 9713 | 24444 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 3 | 9 | 3 | 3 | 5 | 3 | 1 | 0 |
| 29 | No | Travel_Rarely | 592 | Research & Development | 7 | 3 | Life Sciences | 1 | 1883 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 2062 | 19384 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 11 | 2 | 3 | 3 | 2 | 1 | 2 |
| 37 | No | Travel_Rarely | 783 | Research & Development | 7 | 4 | Medical | 1 | 1885 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Married | 4284 | 13588 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 16 | 2 | 3 | 5 | 3 | 0 | 4 |
| 35 | No | Travel_Rarely | 219 | Research & Development | 16 | 2 | Other | 1 | 1886 | 4 | Female | 44 | 2 | 2 | Manufacturing Director | 2 | Married | 4788 | 25388 | 0 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 0 | 2 |
| 45 | No | Travel_Rarely | 556 | Research & Development | 25 | 2 | Life Sciences | 1 | 1888 | 2 | Female | 93 | 2 | 2 | Manufacturing Director | 4 | Married | 5906 | 23888 | 0 | Y | No | 13 | 3 | 4 | 80 | 2 | 10 | 2 | 2 | 9 | 8 | 3 | 8 |
| 36 | No | Travel_Frequently | 1213 | Human Resources | 2 | 1 | Human Resources | 1 | 1890 | 2 | Male | 94 | 2 | 2 | Human Resources | 4 | Single | 3886 | 4223 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 1 | 0 | 8 |
| 40 | No | Travel_Rarely | 1137 | Research & Development | 1 | 4 | Life Sciences | 1 | 1892 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 16823 | 18991 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 22 | 3 | 3 | 19 | 7 | 11 | 16 |
| 26 | No | Travel_Rarely | 482 | Research & Development | 1 | 2 | Life Sciences | 1 | 1893 | 2 | Female | 90 | 2 | 1 | Research Scientist | 3 | Married | 2933 | 14908 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 27 | No | Travel_Rarely | 511 | Sales | 2 | 2 | Medical | 1 | 1898 | 1 | Female | 89 | 4 | 2 | Sales Executive | 3 | Single | 6500 | 26997 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 8 | 7 | 0 | 7 |
| 48 | No | Travel_Frequently | 117 | Research & Development | 22 | 3 | Medical | 1 | 1900 | 4 | Female | 58 | 3 | 4 | Manager | 4 | Divorced | 17174 | 2437 | 3 | Y | No | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 3 | 22 | 17 | 4 | 7 |
| 44 | No | Travel_Rarely | 170 | Research & Development | 1 | 4 | Life Sciences | 1 | 1903 | 2 | Male | 78 | 4 | 2 | Healthcare Representative | 1 | Married | 5033 | 9364 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 2 | 0 | 2 | 2 |
| 34 | Yes | Non-Travel | 967 | Research & Development | 16 | 4 | Technical Degree | 1 | 1905 | 4 | Male | 85 | 1 | 1 | Research Scientist | 1 | Married | 2307 | 14460 | 1 | Y | Yes | 23 | 4 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 3 | 0 |
| 56 | Yes | Travel_Rarely | 1162 | Research & Development | 24 | 2 | Life Sciences | 1 | 1907 | 1 | Male | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 2587 | 10261 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 4 | 2 | 1 | 0 |
| 36 | No | Travel_Rarely | 335 | Sales | 17 | 2 | Marketing | 1 | 1908 | 3 | Male | 33 | 2 | 2 | Sales Executive | 2 | Married | 5507 | 16822 | 2 | Y | No | 16 | 3 | 3 | 80 | 2 | 12 | 1 | 1 | 4 | 2 | 1 | 3 |
| 41 | No | Travel_Rarely | 337 | Sales | 8 | 3 | Marketing | 1 | 1909 | 3 | Female | 54 | 3 | 2 | Sales Executive | 2 | Married | 4393 | 26841 | 5 | Y | No | 21 | 4 | 3 | 80 | 1 | 14 | 3 | 3 | 5 | 4 | 1 | 4 |
| 42 | No | Travel_Rarely | 1396 | Research & Development | 6 | 3 | Medical | 1 | 1911 | 3 | Male | 83 | 3 | 3 | Research Director | 1 | Married | 13348 | 14842 | 9 | Y | No | 13 | 3 | 2 | 80 | 1 | 18 | 3 | 4 | 13 | 7 | 5 | 7 |
| 31 | No | Travel_Rarely | 1079 | Sales | 10 | 2 | Medical | 1 | 1912 | 3 | Female | 86 | 3 | 2 | Sales Executive | 4 | Divorced | 6583 | 20115 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 1 | 4 |
| 34 | No | Travel_Rarely | 735 | Sales | 3 | 1 | Medical | 1 | 1915 | 4 | Female | 75 | 2 | 2 | Sales Executive | 4 | Married | 8103 | 16495 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 3 | 2 | 4 | 2 | 0 | 1 |
| 31 | No | Travel_Rarely | 471 | Research & Development | 4 | 3 | Medical | 1 | 1916 | 1 | Female | 62 | 4 | 1 | Laboratory Technician | 3 | Divorced | 3978 | 16031 | 8 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 0 | 2 | 2 | 2 | 2 | 2 |
| 26 | No | Travel_Frequently | 1096 | Research & Development | 6 | 3 | Other | 1 | 1918 | 3 | Male | 61 | 4 | 1 | Laboratory Technician | 4 | Married | 2544 | 7102 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 7 | 7 | 7 | 7 |
| 45 | No | Travel_Frequently | 1297 | Research & Development | 1 | 4 | Medical | 1 | 1922 | 2 | Male | 44 | 3 | 2 | Healthcare Representative | 3 | Single | 5399 | 14511 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 4 | 2 | 0 | 3 |
| 33 | No | Travel_Rarely | 217 | Sales | 10 | 4 | Marketing | 1 | 1924 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Single | 5487 | 10410 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 0 | 9 |
| 28 | No | Travel_Frequently | 783 | Sales | 1 | 2 | Life Sciences | 1 | 1927 | 3 | Male | 42 | 2 | 2 | Sales Executive | 4 | Married | 6834 | 19255 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 29 | Yes | Travel_Frequently | 746 | Sales | 24 | 3 | Technical Degree | 1 | 1928 | 3 | Male | 45 | 4 | 1 | Sales Representative | 1 | Single | 1091 | 10642 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 39 | No | Non-Travel | 1251 | Sales | 21 | 4 | Life Sciences | 1 | 1929 | 1 | Female | 32 | 1 | 2 | Sales Executive | 3 | Married | 5736 | 3987 | 6 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 3 | 2 | 1 | 2 |
| 27 | No | Travel_Rarely | 1354 | Research & Development | 2 | 4 | Technical Degree | 1 | 1931 | 2 | Male | 41 | 3 | 1 | Research Scientist | 2 | Married | 2226 | 6073 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 1 | 2 |
| 34 | No | Travel_Frequently | 735 | Research & Development | 22 | 4 | Other | 1 | 1932 | 3 | Male | 86 | 2 | 2 | Research Scientist | 4 | Married | 5747 | 26496 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 16 | 3 | 3 | 15 | 10 | 6 | 11 |
| 28 | Yes | Travel_Rarely | 1475 | Sales | 13 | 2 | Marketing | 1 | 1933 | 4 | Female | 84 | 3 | 2 | Sales Executive | 3 | Single | 9854 | 23352 | 3 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 0 | 3 | 2 | 0 | 2 | 2 |
| 47 | No | Non-Travel | 1169 | Research & Development | 14 | 4 | Technical Degree | 1 | 1934 | 3 | Male | 64 | 3 | 2 | Research Scientist | 2 | Married | 5467 | 2125 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 16 | 4 | 4 | 8 | 7 | 1 | 7 |
| 56 | No | Travel_Rarely | 1443 | Sales | 11 | 5 | Marketing | 1 | 1935 | 4 | Female | 89 | 2 | 2 | Sales Executive | 1 | Married | 5380 | 20328 | 4 | Y | No | 16 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
| 39 | No | Travel_Rarely | 867 | Research & Development | 9 | 2 | Medical | 1 | 1936 | 1 | Male | 87 | 3 | 2 | Manufacturing Director | 1 | Married | 5151 | 12315 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 0 | 7 | 9 |
| 38 | No | Travel_Frequently | 1394 | Research & Development | 8 | 3 | Medical | 1 | 1937 | 4 | Female | 58 | 2 | 2 | Research Scientist | 2 | Divorced | 2133 | 18115 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 20 | 3 | 3 | 20 | 11 | 0 | 7 |
| 58 | No | Travel_Rarely | 605 | Sales | 21 | 3 | Life Sciences | 1 | 1938 | 4 | Female | 72 | 3 | 4 | Manager | 4 | Married | 17875 | 11761 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 1 | 0 | 0 | 0 |
| 32 | Yes | Travel_Frequently | 238 | Research & Development | 5 | 2 | Life Sciences | 1 | 1939 | 1 | Female | 47 | 4 | 1 | Research Scientist | 3 | Single | 2432 | 15318 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 4 | 1 | 0 | 3 |
| 38 | No | Travel_Rarely | 1206 | Research & Development | 9 | 2 | Life Sciences | 1 | 1940 | 2 | Male | 71 | 3 | 1 | Research Scientist | 4 | Divorced | 4771 | 14293 | 2 | Y | No | 19 | 3 | 4 | 80 | 2 | 10 | 0 | 4 | 5 | 2 | 0 | 3 |
| 49 | No | Travel_Frequently | 1064 | Research & Development | 2 | 1 | Life Sciences | 1 | 1941 | 2 | Male | 42 | 3 | 5 | Research Director | 4 | Married | 19161 | 13738 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 28 | 3 | 3 | 5 | 4 | 4 | 3 |
| 42 | No | Travel_Rarely | 419 | Sales | 12 | 4 | Marketing | 1 | 1943 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Divorced | 5087 | 2900 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 14 | 4 | 3 | 0 | 0 | 0 | 0 |
| 27 | Yes | Travel_Frequently | 1337 | Human Resources | 22 | 3 | Human Resources | 1 | 1944 | 1 | Female | 58 | 2 | 1 | Human Resources | 2 | Married | 2863 | 19555 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 35 | No | Travel_Rarely | 682 | Sales | 18 | 4 | Medical | 1 | 1945 | 2 | Male | 71 | 3 | 2 | Sales Executive | 1 | Married | 5561 | 15975 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
| 28 | No | Non-Travel | 1103 | Research & Development | 16 | 3 | Medical | 1 | 1947 | 3 | Male | 49 | 3 | 1 | Research Scientist | 3 | Single | 2144 | 2122 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 3 | 1 | 4 |
| 31 | No | Non-Travel | 976 | Research & Development | 3 | 2 | Medical | 1 | 1948 | 3 | Male | 48 | 3 | 1 | Research Scientist | 1 | Divorced | 3065 | 3995 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 4 | 3 | 4 | 4 | 2 | 2 | 3 |
| 36 | No | Non-Travel | 1351 | Research & Development | 9 | 4 | Life Sciences | 1 | 1949 | 1 | Male | 66 | 4 | 1 | Laboratory Technician | 2 | Married | 2810 | 9238 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 2 |
| 34 | No | Travel_Rarely | 937 | Sales | 1 | 3 | Marketing | 1 | 1950 | 1 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9888 | 6770 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 14 | 3 | 2 | 14 | 8 | 2 | 1 |
| 34 | No | Travel_Rarely | 1239 | Sales | 13 | 4 | Medical | 1 | 1951 | 4 | Male | 39 | 3 | 3 | Sales Executive | 3 | Divorced | 8628 | 22914 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 9 | 2 | 2 | 8 | 7 | 1 | 1 |
| 26 | No | Travel_Rarely | 157 | Research & Development | 1 | 3 | Medical | 1 | 1952 | 3 | Male | 95 | 3 | 1 | Laboratory Technician | 1 | Single | 2867 | 20006 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 6 | 2 | 7 | 7 | 7 | 6 |
| 29 | No | Travel_Rarely | 136 | Research & Development | 1 | 3 | Life Sciences | 1 | 1954 | 1 | Male | 89 | 3 | 2 | Healthcare Representative | 1 | Married | 5373 | 6225 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 2 |
| 32 | No | Non-Travel | 1146 | Research & Development | 15 | 4 | Medical | 1 | 1955 | 3 | Female | 34 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6667 | 16542 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 9 | 6 | 3 | 5 | 1 | 1 | 2 |
| 31 | No | Travel_Frequently | 1125 | Research & Development | 1 | 3 | Life Sciences | 1 | 1956 | 4 | Male | 48 | 1 | 2 | Research Scientist | 1 | Married | 5003 | 5771 | 1 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 6 | 3 | 10 | 8 | 8 | 7 |
| 28 | Yes | Travel_Rarely | 1404 | Research & Development | 17 | 3 | Technical Degree | 1 | 1960 | 3 | Male | 32 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2367 | 18779 | 5 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 4 | 1 | 0 | 3 |
| 38 | No | Travel_Rarely | 1404 | Sales | 1 | 3 | Life Sciences | 1 | 1961 | 1 | Male | 59 | 2 | 1 | Sales Representative | 1 | Single | 2858 | 11473 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 2 | 1 | 0 | 0 | 0 |
| 35 | No | Travel_Rarely | 1224 | Sales | 7 | 4 | Life Sciences | 1 | 1962 | 3 | Female | 55 | 3 | 2 | Sales Executive | 4 | Married | 5204 | 13586 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 0 | 9 |
| 27 | No | Travel_Rarely | 954 | Sales | 9 | 3 | Marketing | 1 | 1965 | 4 | Male | 44 | 3 | 2 | Sales Executive | 4 | Single | 4105 | 5099 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 0 | 7 |
| 32 | No | Travel_Rarely | 1373 | Research & Development | 5 | 4 | Life Sciences | 1 | 1966 | 4 | Male | 56 | 2 | 2 | Manufacturing Director | 4 | Single | 9679 | 10138 | 8 | Y | No | 24 | 4 | 2 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
| 31 | Yes | Travel_Frequently | 754 | Sales | 26 | 4 | Marketing | 1 | 1967 | 1 | Male | 63 | 3 | 2 | Sales Executive | 4 | Married | 5617 | 21075 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 10 | 7 | 0 | 8 |
| 53 | Yes | Travel_Rarely | 1168 | Sales | 24 | 4 | Life Sciences | 1 | 1968 | 1 | Male | 66 | 3 | 3 | Sales Executive | 1 | Single | 10448 | 5843 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 2 | 2 | 2 | 2 |
| 54 | No | Travel_Rarely | 155 | Research & Development | 9 | 2 | Life Sciences | 1 | 1969 | 1 | Female | 67 | 3 | 2 | Research Scientist | 3 | Married | 2897 | 22474 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 9 | 6 | 2 | 4 | 3 | 2 | 3 |
| 33 | No | Travel_Frequently | 1303 | Research & Development | 7 | 2 | Life Sciences | 1 | 1970 | 4 | Male | 36 | 3 | 2 | Healthcare Representative | 3 | Divorced | 5968 | 18079 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 9 | 2 | 3 | 9 | 7 | 2 | 8 |
| 43 | No | Travel_Rarely | 574 | Research & Development | 11 | 3 | Life Sciences | 1 | 1971 | 1 | Male | 30 | 3 | 3 | Healthcare Representative | 3 | Married | 7510 | 16873 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 0 | 9 |
| 38 | No | Travel_Frequently | 1444 | Human Resources | 1 | 4 | Other | 1 | 1972 | 4 | Male | 88 | 3 | 1 | Human Resources | 2 | Married | 2991 | 5224 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 6 | 2 | 1 | 2 |
| 55 | No | Travel_Rarely | 189 | Human Resources | 26 | 4 | Human Resources | 1 | 1973 | 3 | Male | 71 | 4 | 5 | Manager | 2 | Married | 19636 | 25811 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 35 | 0 | 3 | 10 | 9 | 1 | 4 |
| 31 | No | Travel_Rarely | 1276 | Research & Development | 2 | 1 | Medical | 1 | 1974 | 4 | Female | 59 | 1 | 1 | Laboratory Technician | 4 | Divorced | 1129 | 17536 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
| 39 | No | Travel_Rarely | 119 | Sales | 15 | 4 | Marketing | 1 | 1975 | 2 | Male | 77 | 3 | 4 | Sales Executive | 1 | Single | 13341 | 25098 | 0 | Y | No | 12 | 3 | 1 | 80 | 0 | 21 | 3 | 3 | 20 | 8 | 11 | 10 |
| 42 | No | Non-Travel | 335 | Research & Development | 23 | 2 | Life Sciences | 1 | 1976 | 4 | Male | 37 | 2 | 2 | Research Scientist | 3 | Single | 4332 | 14811 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 20 | 9 | 3 | 7 |
| 31 | No | Non-Travel | 697 | Research & Development | 10 | 3 | Medical | 1 | 1979 | 3 | Female | 40 | 3 | 3 | Research Director | 3 | Married | 11031 | 26862 | 4 | Y | No | 20 | 4 | 3 | 80 | 1 | 13 | 2 | 4 | 11 | 7 | 4 | 8 |
| 54 | No | Travel_Rarely | 157 | Research & Development | 10 | 3 | Medical | 1 | 1980 | 3 | Female | 77 | 3 | 2 | Manufacturing Director | 1 | Single | 4440 | 25198 | 6 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
| 24 | No | Travel_Rarely | 771 | Research & Development | 1 | 2 | Life Sciences | 1 | 1981 | 2 | Male | 45 | 2 | 2 | Healthcare Representative | 3 | Single | 4617 | 14120 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
| 23 | No | Travel_Rarely | 571 | Research & Development | 12 | 2 | Other | 1 | 1982 | 4 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2647 | 13672 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 5 | 6 | 4 | 5 | 2 | 1 | 4 |
| 40 | No | Travel_Frequently | 692 | Research & Development | 11 | 3 | Technical Degree | 1 | 1985 | 4 | Female | 73 | 3 | 2 | Laboratory Technician | 3 | Married | 6323 | 26849 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 10 | 9 | 9 | 4 |
| 40 | No | Travel_Rarely | 444 | Sales | 2 | 2 | Marketing | 1 | 1986 | 2 | Female | 92 | 3 | 2 | Sales Executive | 2 | Married | 5677 | 4258 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 4 | 3 | 11 | 8 | 5 | 10 |
| 25 | No | Travel_Rarely | 309 | Human Resources | 2 | 3 | Human Resources | 1 | 1987 | 3 | Female | 82 | 3 | 1 | Human Resources | 2 | Married | 2187 | 19655 | 4 | Y | No | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 0 | 1 | 2 |
| 30 | No | Travel_Rarely | 911 | Research & Development | 1 | 2 | Medical | 1 | 1989 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 2 | Married | 3748 | 4077 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 6 | 2 | 12 | 8 | 1 | 7 |
| 25 | No | Travel_Rarely | 977 | Research & Development | 2 | 1 | Other | 1 | 1992 | 4 | Male | 57 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3977 | 7298 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 2 | 2 | 0 | 2 |
| 47 | No | Travel_Rarely | 1180 | Research & Development | 25 | 3 | Medical | 1 | 1993 | 1 | Male | 84 | 3 | 3 | Healthcare Representative | 3 | Single | 8633 | 13084 | 2 | Y | No | 23 | 4 | 2 | 80 | 0 | 25 | 3 | 3 | 17 | 14 | 12 | 11 |
| 33 | No | Non-Travel | 1313 | Research & Development | 1 | 2 | Medical | 1 | 1994 | 2 | Male | 59 | 2 | 1 | Laboratory Technician | 3 | Divorced | 2008 | 20439 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 2 | 2 | 1 | 1 | 0 | 0 |
| 38 | No | Travel_Rarely | 1321 | Sales | 1 | 4 | Life Sciences | 1 | 1995 | 4 | Male | 86 | 3 | 2 | Sales Executive | 2 | Married | 4440 | 7636 | 0 | Y | No | 15 | 3 | 1 | 80 | 2 | 16 | 3 | 3 | 15 | 13 | 5 | 8 |
| 31 | No | Travel_Rarely | 1154 | Sales | 2 | 2 | Life Sciences | 1 | 1996 | 1 | Male | 54 | 3 | 1 | Sales Representative | 3 | Married | 3067 | 6393 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 3 | 1 | 3 | 2 | 2 | 1 | 2 |
| 38 | No | Travel_Frequently | 508 | Research & Development | 6 | 4 | Life Sciences | 1 | 1997 | 1 | Male | 72 | 2 | 2 | Manufacturing Director | 3 | Married | 5321 | 14284 | 2 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 1 | 3 | 8 | 3 | 7 | 7 |
| 42 | No | Travel_Rarely | 557 | Research & Development | 18 | 4 | Life Sciences | 1 | 1998 | 4 | Male | 35 | 3 | 2 | Research Scientist | 1 | Divorced | 5410 | 11189 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 4 | 3 | 1 | 2 |
| 41 | No | Travel_Rarely | 642 | Research & Development | 1 | 3 | Life Sciences | 1 | 1999 | 4 | Male | 76 | 3 | 1 | Research Scientist | 4 | Married | 2782 | 21412 | 3 | Y | No | 22 | 4 | 1 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 1 | 0 |
| 47 | No | Non-Travel | 1162 | Research & Development | 1 | 1 | Medical | 1 | 2000 | 3 | Female | 98 | 3 | 3 | Research Director | 2 | Married | 11957 | 17231 | 0 | Y | No | 18 | 3 | 1 | 80 | 2 | 14 | 3 | 1 | 13 | 8 | 5 | 12 |
| 35 | No | Travel_Rarely | 1490 | Research & Development | 11 | 4 | Medical | 1 | 2003 | 4 | Male | 43 | 3 | 1 | Laboratory Technician | 3 | Married | 2660 | 20232 | 7 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 2 | 2 | 2 | 2 |
| 22 | No | Travel_Rarely | 581 | Research & Development | 1 | 2 | Life Sciences | 1 | 2007 | 4 | Male | 63 | 3 | 1 | Research Scientist | 3 | Single | 3375 | 17624 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 4 | 2 | 4 | 3 | 2 | 1 | 2 |
| 35 | No | Travel_Rarely | 1395 | Research & Development | 9 | 4 | Medical | 1 | 2008 | 2 | Male | 48 | 3 | 2 | Research Scientist | 3 | Single | 5098 | 18698 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 7 | 0 | 8 |
| 33 | No | Travel_Rarely | 501 | Research & Development | 15 | 2 | Medical | 1 | 2009 | 2 | Female | 95 | 3 | 2 | Healthcare Representative | 4 | Married | 4878 | 21653 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 8 | 1 |
| 32 | No | Travel_Rarely | 267 | Research & Development | 29 | 4 | Life Sciences | 1 | 2010 | 3 | Female | 49 | 2 | 1 | Laboratory Technician | 2 | Single | 2837 | 15919 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 1 |
| 40 | No | Travel_Rarely | 543 | Research & Development | 1 | 4 | Life Sciences | 1 | 2012 | 1 | Male | 83 | 3 | 1 | Laboratory Technician | 4 | Married | 2406 | 4060 | 8 | Y | No | 19 | 3 | 3 | 80 | 2 | 8 | 3 | 2 | 1 | 0 | 0 | 0 |
| 32 | No | Travel_Rarely | 234 | Sales | 1 | 4 | Medical | 1 | 2013 | 2 | Male | 68 | 2 | 1 | Sales Representative | 2 | Married | 2269 | 18024 | 0 | Y | No | 14 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
| 39 | No | Travel_Rarely | 116 | Research & Development | 24 | 1 | Life Sciences | 1 | 2014 | 1 | Male | 52 | 3 | 2 | Research Scientist | 4 | Single | 4108 | 5340 | 7 | Y | No | 13 | 3 | 1 | 80 | 0 | 18 | 2 | 3 | 7 | 7 | 1 | 7 |
| 38 | No | Travel_Rarely | 201 | Research & Development | 10 | 3 | Medical | 1 | 2015 | 2 | Female | 99 | 1 | 3 | Research Director | 3 | Married | 13206 | 3376 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 20 | 3 | 3 | 18 | 16 | 1 | 11 |
| 32 | No | Travel_Rarely | 801 | Sales | 1 | 4 | Marketing | 1 | 2016 | 3 | Female | 48 | 3 | 3 | Sales Executive | 4 | Married | 10422 | 24032 | 1 | Y | No | 19 | 3 | 3 | 80 | 2 | 14 | 3 | 3 | 14 | 10 | 5 | 7 |
| 37 | No | Travel_Rarely | 161 | Research & Development | 10 | 3 | Life Sciences | 1 | 2017 | 3 | Female | 42 | 4 | 3 | Research Director | 4 | Married | 13744 | 15471 | 1 | Y | Yes | 25 | 4 | 1 | 80 | 1 | 16 | 2 | 3 | 16 | 11 | 6 | 8 |
| 25 | No | Travel_Rarely | 1382 | Sales | 8 | 2 | Other | 1 | 2018 | 1 | Female | 85 | 3 | 2 | Sales Executive | 3 | Divorced | 4907 | 13684 | 0 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 0 | 4 |
| 52 | No | Non-Travel | 585 | Sales | 29 | 4 | Life Sciences | 1 | 2019 | 1 | Male | 40 | 3 | 1 | Sales Representative | 4 | Divorced | 3482 | 19788 | 2 | Y | No | 15 | 3 | 2 | 80 | 2 | 16 | 3 | 2 | 9 | 8 | 0 | 0 |
| 44 | No | Travel_Rarely | 1037 | Research & Development | 1 | 3 | Medical | 1 | 2020 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Single | 2436 | 13422 | 6 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
| 21 | No | Travel_Rarely | 501 | Sales | 5 | 1 | Medical | 1 | 2021 | 3 | Male | 58 | 3 | 1 | Sales Representative | 1 | Single | 2380 | 25479 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 2 | 6 | 3 | 2 | 2 | 1 | 2 |
| 39 | No | Non-Travel | 105 | Research & Development | 9 | 3 | Life Sciences | 1 | 2022 | 4 | Male | 87 | 3 | 5 | Manager | 4 | Single | 19431 | 15302 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 21 | 3 | 2 | 6 | 0 | 1 | 3 |
| 23 | Yes | Travel_Frequently | 638 | Sales | 9 | 3 | Marketing | 1 | 2023 | 4 | Male | 33 | 3 | 1 | Sales Representative | 1 | Married | 1790 | 26956 | 1 | Y | No | 19 | 3 | 1 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 36 | No | Travel_Rarely | 557 | Sales | 3 | 3 | Medical | 1 | 2024 | 1 | Female | 94 | 2 | 3 | Sales Executive | 4 | Married | 7644 | 12695 | 0 | Y | No | 19 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 9 | 7 | 3 | 4 |
| 36 | No | Travel_Frequently | 688 | Research & Development | 4 | 2 | Life Sciences | 1 | 2025 | 4 | Female | 97 | 3 | 2 | Manufacturing Director | 2 | Divorced | 5131 | 9192 | 7 | Y | No | 13 | 3 | 2 | 80 | 3 | 18 | 3 | 3 | 4 | 2 | 0 | 2 |
| 56 | No | Non-Travel | 667 | Research & Development | 1 | 4 | Life Sciences | 1 | 2026 | 3 | Male | 57 | 3 | 2 | Healthcare Representative | 3 | Divorced | 6306 | 26236 | 1 | Y | No | 21 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 13 | 12 | 1 | 9 |
| 29 | Yes | Travel_Rarely | 1092 | Research & Development | 1 | 4 | Medical | 1 | 2027 | 1 | Male | 36 | 3 | 1 | Research Scientist | 4 | Married | 4787 | 26124 | 9 | Y | Yes | 14 | 3 | 2 | 80 | 3 | 4 | 3 | 4 | 2 | 2 | 2 | 2 |
| 42 | No | Travel_Rarely | 300 | Research & Development | 2 | 3 | Life Sciences | 1 | 2031 | 1 | Male | 56 | 3 | 5 | Manager | 3 | Married | 18880 | 17312 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 24 | 2 | 2 | 22 | 6 | 4 | 14 |
| 56 | Yes | Travel_Rarely | 310 | Research & Development | 7 | 2 | Technical Degree | 1 | 2032 | 4 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2339 | 3666 | 8 | Y | No | 11 | 3 | 4 | 80 | 1 | 14 | 4 | 1 | 10 | 9 | 9 | 8 |
| 41 | No | Travel_Rarely | 582 | Research & Development | 28 | 4 | Life Sciences | 1 | 2034 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 2 | Married | 13570 | 5640 | 0 | Y | No | 23 | 4 | 3 | 80 | 1 | 21 | 3 | 3 | 20 | 7 | 0 | 10 |
| 34 | No | Travel_Rarely | 704 | Sales | 28 | 3 | Marketing | 1 | 2035 | 4 | Female | 95 | 2 | 2 | Sales Executive | 3 | Married | 6712 | 8978 | 1 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
| 36 | No | Non-Travel | 301 | Sales | 15 | 4 | Marketing | 1 | 2036 | 4 | Male | 88 | 1 | 2 | Sales Executive | 4 | Divorced | 5406 | 10436 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 15 | 4 | 2 | 15 | 12 | 11 | 11 |
| 41 | No | Travel_Rarely | 930 | Sales | 3 | 3 | Life Sciences | 1 | 2037 | 3 | Male | 57 | 2 | 2 | Sales Executive | 2 | Divorced | 8938 | 12227 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 14 | 5 | 3 | 5 | 4 | 0 | 4 |
| 32 | No | Travel_Rarely | 529 | Research & Development | 2 | 3 | Technical Degree | 1 | 2038 | 4 | Male | 78 | 3 | 1 | Research Scientist | 1 | Single | 2439 | 11288 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 4 | 4 | 3 | 4 | 2 | 1 | 2 |
| 35 | No | Travel_Rarely | 1146 | Human Resources | 26 | 4 | Life Sciences | 1 | 2040 | 3 | Female | 31 | 3 | 3 | Human Resources | 4 | Single | 8837 | 16642 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 9 | 0 | 1 | 7 |
| 38 | No | Travel_Rarely | 345 | Sales | 10 | 2 | Life Sciences | 1 | 2041 | 1 | Female | 100 | 3 | 2 | Sales Executive | 4 | Married | 5343 | 5982 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 1 | 9 |
| 50 | Yes | Travel_Frequently | 878 | Sales | 1 | 4 | Life Sciences | 1 | 2044 | 2 | Male | 94 | 3 | 2 | Sales Executive | 3 | Divorced | 6728 | 14255 | 7 | Y | No | 12 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 6 | 3 | 0 | 1 |
| 36 | No | Travel_Rarely | 1120 | Sales | 11 | 4 | Marketing | 1 | 2045 | 2 | Female | 100 | 2 | 2 | Sales Executive | 4 | Married | 6652 | 14369 | 4 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 2 | 6 | 3 | 0 | 0 |
| 45 | No | Travel_Rarely | 374 | Sales | 20 | 3 | Life Sciences | 1 | 2046 | 4 | Female | 50 | 3 | 2 | Sales Executive | 3 | Single | 4850 | 23333 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 5 | 3 | 0 | 1 |
| 40 | No | Travel_Rarely | 1322 | Research & Development | 2 | 4 | Life Sciences | 1 | 2048 | 3 | Male | 52 | 2 | 1 | Research Scientist | 3 | Single | 2809 | 2725 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 35 | No | Travel_Frequently | 1199 | Research & Development | 18 | 4 | Life Sciences | 1 | 2049 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5689 | 24594 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 2 | 4 | 10 | 2 | 0 | 2 |
| 40 | No | Travel_Rarely | 1194 | Research & Development | 2 | 4 | Medical | 1 | 2051 | 3 | Female | 98 | 3 | 1 | Research Scientist | 3 | Married | 2001 | 12549 | 2 | Y | No | 14 | 3 | 2 | 80 | 3 | 20 | 2 | 3 | 5 | 3 | 0 | 2 |
| 35 | No | Travel_Rarely | 287 | Research & Development | 1 | 4 | Life Sciences | 1 | 2052 | 3 | Female | 62 | 1 | 1 | Research Scientist | 4 | Married | 2977 | 8952 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 4 | 5 | 3 | 4 | 3 | 1 | 1 |
| 29 | No | Travel_Rarely | 1378 | Research & Development | 13 | 2 | Other | 1 | 2053 | 4 | Male | 46 | 2 | 2 | Laboratory Technician | 2 | Married | 4025 | 23679 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 4 | 3 | 0 | 3 |
| 29 | No | Travel_Rarely | 468 | Research & Development | 28 | 4 | Medical | 1 | 2054 | 4 | Female | 73 | 2 | 1 | Research Scientist | 1 | Single | 3785 | 8489 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 3 | 1 | 5 | 4 | 0 | 4 |
| 50 | Yes | Travel_Rarely | 410 | Sales | 28 | 3 | Marketing | 1 | 2055 | 4 | Male | 39 | 2 | 3 | Sales Executive | 1 | Divorced | 10854 | 16586 | 4 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 20 | 3 | 3 | 3 | 2 | 2 | 0 |
| 39 | No | Travel_Rarely | 722 | Sales | 24 | 1 | Marketing | 1 | 2056 | 2 | Female | 60 | 2 | 4 | Sales Executive | 4 | Married | 12031 | 8828 | 0 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 2 | 2 | 20 | 9 | 9 | 6 |
| 31 | No | Non-Travel | 325 | Research & Development | 5 | 3 | Medical | 1 | 2057 | 2 | Male | 74 | 3 | 2 | Manufacturing Director | 1 | Single | 9936 | 3787 | 0 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 4 | 1 | 7 |
| 26 | No | Travel_Rarely | 1167 | Sales | 5 | 3 | Other | 1 | 2060 | 4 | Female | 30 | 2 | 1 | Sales Representative | 3 | Single | 2966 | 21378 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 2 | 0 | 0 |
| 36 | No | Travel_Frequently | 884 | Research & Development | 23 | 2 | Medical | 1 | 2061 | 3 | Male | 41 | 4 | 2 | Laboratory Technician | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 |
| 39 | No | Travel_Rarely | 613 | Research & Development | 6 | 1 | Medical | 1 | 2062 | 4 | Male | 42 | 2 | 3 | Healthcare Representative | 1 | Married | 9991 | 21457 | 4 | Y | No | 15 | 3 | 1 | 80 | 1 | 9 | 5 | 3 | 7 | 7 | 1 | 7 |
| 27 | No | Travel_Rarely | 155 | Research & Development | 4 | 3 | Life Sciences | 1 | 2064 | 2 | Male | 87 | 4 | 2 | Manufacturing Director | 2 | Married | 6142 | 5174 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 6 | 0 | 3 | 6 | 2 | 0 | 3 |
| 49 | No | Travel_Frequently | 1023 | Sales | 2 | 3 | Medical | 1 | 2065 | 4 | Male | 63 | 2 | 2 | Sales Executive | 2 | Married | 5390 | 13243 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 17 | 3 | 2 | 9 | 6 | 0 | 8 |
| 34 | No | Travel_Rarely | 628 | Research & Development | 8 | 3 | Medical | 1 | 2068 | 2 | Male | 82 | 4 | 2 | Laboratory Technician | 3 | Married | 4404 | 10228 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 4 | 4 | 3 | 1 | 2 |
Data Set Up
| Linear Regression | ||||||||||||||||
| You saw in our 'describing relationships' work that the correlation coefficient, between two discrete / continuous variables, was the same as the 'Multiple R' in a regression analysis between the same two variables. | ||||||||||||||||
| If you took this to mean that linear regression is a form of correlation analysis across multiple variables, you would be right. | ||||||||||||||||
| In linear regression, we are looking to understand the influence of multiple variables (called independent variables) on a single variable (called the dependent variable). | ||||||||||||||||
| We can use linear regression to understand how much of the variation in the dependent variable is explanable by the individual as well as the combined independent variables. | ||||||||||||||||
| For instance, we might want to understand how much average income level (the dependent variable) is explained by education level (independent variable) and experience (independent variable). | ||||||||||||||||
| It makes sense that we try to understand the effect of education and experience on income level. We understand that there is a logical relationship between these variables. | ||||||||||||||||
| We should always think about the variables that we are entering into a linear regression. Generally, only include those that make sense. You should have an answer to the 'Why did you include that independent variable?" question. | ||||||||||||||||
| There are many questions you can explore with linear regression. | ||||||||||||||||
| Excel has a limited capacity to run linear regressions using the Data Analysis tool pak. We will use this to explore the Big Tech data and increase our understanding of linear regression. | ||||||||||||||||
| Data I am going to work with | Data you are going to work with | |||||||||||||||
| Y= Dependent Variable | Monthly Income | (What variable type is this?) | Y= Dependent Variable | Monthly Income | (What variable type is this?) | |||||||||||
| X= Indpendent Variables | Education | (What variable type is this?) | X= Indpendent Variables | Working years | (What variable type is this?) | |||||||||||
| Gender | (What variable type is this?) | Marital Status | (What variable type is this?) | |||||||||||||
| The dependent variable is what we are trying to explain | ||||||||||||||||
| The independent variable are what we are using to explain the dependent variable. | ||||||||||||||||
| What good reasons do you think working years is related to Monthly Income? | ||||||||||||||||
| We should have some reason for why we think the independent variables will predict | ||||||||||||||||
| the dependent variables. | ||||||||||||||||
| What good reasons can you think of good reasons why Education and Gender would impact earnings? | What good reason do you think Marital Status is related to Monthly Income? | |||||||||||||||
| Getting the Data Ready | ||||||||||||||||
| Like the T test and the ANOVA, Excel wants the data to show up in a specific format. | ||||||||||||||||
| Continuous or discrete variables are ok as they are. They don't need to be put into another format. | ||||||||||||||||
| Ordinal Variables are categorical variables that have an order. They can be treated as categories (using multiple binary variables) or as Discrete variables using numbers. | ||||||||||||||||
| It is easiest to treat ordinal variables as numbers. This means that we create a new column with numbers representing the ordinal levels. | ||||||||||||||||
| Categorical variables are more challenging. If you think about it, a categorical variable acutally includes multiple separate ideas. | ||||||||||||||||
| We need to divide these ideas into their own columns so they are independent. This means we have to create a new column for | ||||||||||||||||
| each individual category within the categorical variable. When we do this, each column represents one idea. | ||||||||||||||||
| We then need to mark when that idea is true and when it is false. | ||||||||||||||||
| Education | ||||||||||||||||
| Education is a Categorical variable with 5 different categories. You could also interpret Education as an Ordinal variable. | Marital Status is a categorical variable with 3 categories | |||||||||||||||
| Because the steps between each Education category is not the same, we are going to treat Education as a categorical variable. | ||||||||||||||||
| Education | What are the individual categories within Marital status: | |||||||||||||||
| In the Data | What it means | |||||||||||||||
| 1 | Below College | |||||||||||||||
| 2 | College | |||||||||||||||
| 3 | Bachelor | Note how the steps between each of these levels is not the same. | ||||||||||||||
| 4 | Masters | Is going from "Below College" to "College" the same as going from "Masters" to "Doctor" | ||||||||||||||
| 5 | Doctor | |||||||||||||||
| Since there are five concepts in 'Education' we need to break them out indivdiually. | ||||||||||||||||
| We do this by creating 4 binary variables to represent these categories. | ||||||||||||||||
| You might think there is a missing category (5 categories, 4 binary variables). | ||||||||||||||||
| It is not missing, as you will see, it is part of the intercept and impacts how we interpret the variable coefficients. | ||||||||||||||||
| Conceptually, this is what we are creating. | Set up a conceptual layout of the 'Marital Status' binaries | |||||||||||||||
| Categories | ||||||||||||||||
| Below College | College | Bachelors | Masters | Doctor | Categories | |||||||||||
| an observation with a below college education | 1 | 0 | 0 | 0 | 0 | an observation… | ||||||||||
| an observation with some college education | 0 | 1 | 0 | 0 | 0 | |||||||||||
| an observation with a bachelors degree | 0 | 0 | 1 | 0 | 0 | |||||||||||
| an observation with a masters degree | 0 | 0 | 0 | 1 | 0 | |||||||||||
| an observation with a PhD. | 0 | 0 | 0 | 0 | 1 | |||||||||||
| Lets convert the education levels into 4 binaries | ||||||||||||||||
| I used the IFS command to test what data is in the Education cell and put 0 or 1 in the binary cell. | ||||||||||||||||
| In this example, 4 formulas test the Education cell. The 'College' cell puts in the 1 and the others a 0 | ||||||||||||||||
| Note how when 'Education' is 1, all the binaries are 0. Thus, "below college" will be part of the intercept in the linear regression. | Set up the Marital Status binaries in the data I have copied for you below. | |||||||||||||||
| =IFS([@Education]=$B$52,0,[@Education]=$B$52,1,[@Education]=$B$52,0,[@Education]=$B$52,0,[@Education]=$B$52,0) | Use 'Single' as the variable that remains in the intercept | |||||||||||||||
| There is a slightly different formula in each cell. This is the formula for the 'College' cell in the table below | Use the simpler IF formula to develop this. | |||||||||||||||
| Example Calc: the formulas here are slightly different because this is not a table | Apply what you have learned here to structure the binaries below, appx M153 | |||||||||||||||
| Education of the observation | College | Bach | Mast | Doctor | ||||||||||||
| 2 | 1 | 0 | 0 | 0 | Marital status of observation | Married | Divorced | |||||||||
| 1 | 0 | 0 | 0 | 0 | Single | |||||||||||
| Married | ||||||||||||||||
| Here is a simpler version using the IF command. Review the if formula for each column | Single | |||||||||||||||
| Education | College | Bach | Mast | Doctor | Married | |||||||||||
| 2 | 1 | 0 | 0 | 0 | Married | |||||||||||
| 1 | 0 | 0 | 0 | 0 | Single | |||||||||||
| Gender | Married | |||||||||||||||
| Gender is also a categorical variable but there are only 2 levels. So, we only need 1 binary. | Divorced | |||||||||||||||
| I have set this up in the data below as GenBin (gender Binary) | ||||||||||||||||
| In the Data | GenBin | |||||||||||||||
| Female | 0 | Since Female is 0, it is in the intercept. Therefore the intercept is a female with a below college education | ||||||||||||||
| Male | 1 | |||||||||||||||
| Example Calc: This formula is slighlty different from the table version below | ||||||||||||||||
| Gender | GenBin | |||||||||||||||
| Female | 0 | |||||||||||||||
| Data Analysis ToolPack output for "Regression" | ||||||||||||||||
| The data set up for this is below | Write out the conceptual formula you are going to run in your regression (Y=A+MX+e) | |||||||||||||||
| Linear regression is tyring to solve a linear equation in the form of Y=A+MX+e. Y is the dependent variable. A is the intercept. X is the independent variable. | ||||||||||||||||
| M can be considered the relationship of X and Y. 'e' is the error term. As you add indpendent variables, you add additional MX relationships. | ||||||||||||||||
| Our equation looks like this: Y(Monthly Income) = Intercept + M(College)+ M(Bachelor)+ M(Maters) + M(Doctor) + M(Male) + b:error term | ||||||||||||||||
| Note how we are missing two concepts, 1) below college and 2) female. These concepts are embedded in the intercept. | ||||||||||||||||
| Therefore, when we interpret any of the results we interpret them in relationship to the intercept. For instance, when we interpret | ||||||||||||||||
| 'College' it will be the amount of money above 'below college'. Similarly 'Doctor' will be the amount of money above 'below college' | ||||||||||||||||
| Input into the Tool Pak as: | Y= The range of the Dependent Variable. | |||||||||||||||
| X= The range of the Independent Variables (they need to be next to each other) | ||||||||||||||||
| Run the regression and put your output here | ||||||||||||||||
| SUMMARY OUTPUT | ||||||||||||||||
| Regression Statistics | ||||||||||||||||
| Multiple R | 10.7% | |||||||||||||||
| R Square | 1.1% | |||||||||||||||
| Adjusted R Square | 0.8% | |||||||||||||||
| Standard Error | 4,689 | |||||||||||||||
| Observations | 1,470.00 | |||||||||||||||
| ANOVA | ||||||||||||||||
| df | SS | MS | F | Significance F | ||||||||||||
| Regression | 5.0 | 370,230,802.5 | 74,046,160.5 | 3.4 | 0.50% | |||||||||||
| Residual | 1,464.0 | 32,189,944,235.6 | 21,987,666.8 | |||||||||||||
| Total | 1,469.0 | 32,560,175,038.1 | ||||||||||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |||||||||
| Intercept | $ 5,822 | 394.319 | 14.766 | 0.00% | 5,049 | 6,596 | 5,049 | 6,596 | ||||||||
| College | $ 569 | 455.576 | 1.248 | 21.21% | (325) | 1,462 | (325) | 1,462 | ||||||||
| Bach | $ 860 | 409.864 | 2.099 | 3.60% | 56 | 1,664 | 56 | 1,664 | ||||||||
| Mast | $ 1,182 | 429.717 | 2.751 | 0.60% | 339 | 2,025 | 339 | 2,025 | ||||||||
| Doctor | $ 2,607 | 766.883 | 3.400 | 0.07% | 1,103 | 4,112 | 1,103 | 4,112 | ||||||||
| GenBIn | $ (281) | 249.908 | (1.124) | 26.12% | (771) | 209 | (771) | 209 | ||||||||
| Note, I changed the number formatting to make this easier to read | ||||||||||||||||
| Interpretaiton | Interpret your output | |||||||||||||||
| The F value of 0.50% is below 5% so, our model is significant above a model with no independent variables. | ||||||||||||||||
| Our Multiple R is 10.7% and our adjusted R square is only 0.8%. These are relatively low levels. | ||||||||||||||||
| So, while our model is significant, it does not explan a lot of the variation in monthly income. | ||||||||||||||||
| Our intercept is signficant (p value 0.00%). Our intercept is $5,822. This represents a female with a below college education. | ||||||||||||||||
| The coefficient on College is $569 but not significant. So, we can't do much with it. | ||||||||||||||||
| The coefficient on a Bachelors degree is $860 and is significant (p=3.60%). We can add this to the intercept and interpret it. | ||||||||||||||||
| $5,822 + $860 = $6,682: this would be a woman with a bachelors degree | ||||||||||||||||
| The coefficient on a Masters degree is $1,182 and is significant (p=0.60%). We can add this to the intercept and interpret it. | ||||||||||||||||
| $5,822+$1,182 = 7,004: This would be a woman with a masters degree | ||||||||||||||||
| The coefficient on a Doctorate is $2,607 and is significant (p=0.07%). We can add this to the intercept and interpret it | ||||||||||||||||
| $5,822+$2607 = $8,429: This would be a women with a doctorate. | ||||||||||||||||
| The coefficeint on gender is not significant so we cannot say that men earn differently from women. | ||||||||||||||||
| The data you will use | ||||||||||||||||
| Education | Gender | Blank | MonthlyIncome | College | Bach | Mast | Doctor | GenBin | MaritalStatus | MonthlyIncome | TotalWorkingYears | |||||
| 2 | Female | 5993 | 1 | 0 | 0 | 0 | 0 | Single | 5993 | 8 | ||||||
| 1 | Male | 5130 | 0 | 0 | 0 | 0 | 1 | Married | 5130 | 10 | ||||||
| 2 | Male | 2090 | 1 | 0 | 0 | 0 | 1 | Single | 2090 | 7 | ||||||
| 4 | Female | 2909 | 0 | 0 | 1 | 0 | 0 | Married | 2909 | 8 | ||||||
| 1 | Male | 3468 | 0 | 0 | 0 | 0 | 1 | Married | 3468 | 6 | ||||||
| 2 | Male | 3068 | 1 | 0 | 0 | 0 | 1 | Single | 3068 | 8 | ||||||
| 3 | Female | 2670 | 0 | 1 | 0 | 0 | 0 | Married | 2670 | 12 | ||||||
| 1 | Male | 2693 | 0 | 0 | 0 | 0 | 1 | Divorced | 2693 | 1 | ||||||
| 3 | Male | 9526 | 0 | 1 | 0 | 0 | 1 | Single | 9526 | 10 | ||||||
| 3 | Male | 5237 | 0 | 1 | 0 | 0 | 1 | Married | 5237 | 17 | ||||||
| 3 | Male | 2426 | 0 | 1 | 0 | 0 | 1 | Married | 2426 | 6 | ||||||
| 2 | Female | 4193 | 1 | 0 | 0 | 0 | 0 | Single | 4193 | 10 | ||||||
| 1 | Male | 2911 | 0 | 0 | 0 | 0 | 1 | Divorced | 2911 | 5 | ||||||
| 2 | Male | 2661 | 1 | 0 | 0 | 0 | 1 | Divorced | 2661 | 3 | ||||||
| 3 | Male | 2028 | 0 | 1 | 0 | 0 | 1 | Single | 2028 | 6 | ||||||
| 4 | Female | 9980 | 0 | 0 | 1 | 0 | 0 | Divorced | 9980 | 10 | ||||||
| 2 | Male | 3298 | 1 | 0 | 0 | 0 | 1 | Divorced | 3298 | 7 | ||||||
| 2 | Male | 2935 | 1 | 0 | 0 | 0 | 1 | Divorced | 2935 | 1 | ||||||
| 4 | Female | 15427 | 0 | 0 | 1 | 0 | 0 | Married | 15427 | 31 | ||||||
| 3 | Male | 3944 | 0 | 1 | 0 | 0 | 1 | Single | 3944 | 6 | ||||||
| 2 | Female | 4011 | 1 | 0 | 0 | 0 | 0 | Divorced | 4011 | 5 | ||||||
| 4 | Male | 3407 | 0 | 0 | 1 | 0 | 1 | Single | 3407 | 10 | ||||||
| 4 | Female | 11994 | 0 | 0 | 1 | 0 | 0 | Single | 11994 | 13 | ||||||
| 2 | Male | 1232 | 1 | 0 | 0 | 0 | 1 | Single | 1232 | 0 | ||||||
| 1 | Male | 2960 | 0 | 0 | 0 | 0 | 1 | Single | 2960 | 8 | ||||||
| 3 | Female | 19094 | 0 | 1 | 0 | 0 | 0 | Divorced | 19094 | 26 | ||||||
| 1 | Female | 3919 | 0 | 0 | 0 | 0 | 0 | Single | 3919 | 10 | ||||||
| 4 | Male | 6825 | 0 | 0 | 1 | 0 | 1 | Married | 6825 | 10 | ||||||
| 4 | Female | 10248 | 0 | 0 | 1 | 0 | 0 | Married | 10248 | 24 | ||||||
| 4 | Female | 18947 | 0 | 0 | 1 | 0 | 0 | Single | 18947 | 22 | ||||||
| 3 | Male | 2496 | 0 | 1 | 0 | 0 | 1 | Single | 2496 | 7 | ||||||
| 4 | Male | 6465 | 0 | 0 | 1 | 0 | 1 | Married | 6465 | 9 | ||||||
| 2 | Male | 2206 | 1 | 0 | 0 | 0 | 1 | Single | 2206 | 10 | ||||||
| 3 | Male | 2086 | 0 | 1 | 0 | 0 | 1 | Married | 2086 | 19 | ||||||
| 3 | Male | 2293 | 0 | 1 | 0 | 0 | 1 | Married | 2293 | 6 | ||||||
| 2 | Female | 2645 | 1 | 0 | 0 | 0 | 0 | Divorced | 2645 | 6 | ||||||
| 2 | Male | 2683 | 1 | 0 | 0 | 0 | 1 | Married | 2683 | 3 | ||||||
| 3 | Female | 2014 | 0 | 1 | 0 | 0 | 0 | Married | 2014 | 2 | ||||||
| 4 | Female | 3419 | 0 | 0 | 1 | 0 | 0 | Married | 3419 | 6 | ||||||
| 3 | Female | 5376 | 0 | 1 | 0 | 0 | 0 | Married | 5376 | 10 | ||||||
| 2 | Male | 1951 | 1 | 0 | 0 | 0 | 1 | Divorced | 1951 | 1 | ||||||
| 4 | Female | 2341 | 0 | 0 | 1 | 0 | 0 | Divorced | 2341 | 1 | ||||||
| 3 | Male | 2293 | 0 | 1 | 0 | 0 | 1 | Single | 2293 | 1 | ||||||
| 3 | Male | 8726 | 0 | 1 | 0 | 0 | 1 | Single | 8726 | 9 | ||||||
| 2 | Female | 4011 | 1 | 0 | 0 | 0 | 0 | Single | 4011 | 12 | ||||||
| 3 | Female | 19545 | 0 | 1 | 0 | 0 | 0 | Married | 19545 | 23 | ||||||
| 4 | Male | 4568 | 0 | 0 | 1 | 0 | 1 | Single | 4568 | 10 | ||||||
| 2 | Male | 3022 | 1 | 0 | 0 | 0 | 1 | Married | 3022 | 8 | ||||||
| 4 | Male | 5772 | 0 | 0 | 1 | 0 | 1 | Single | 5772 | 14 | ||||||
| 1 | Male | 2269 | 0 | 0 | 0 | 0 | 1 | Married | 2269 | 1 | ||||||
| 2 | Male | 5381 | 1 | 0 | 0 | 0 | 1 | Single | 5381 | 23 | ||||||
| 4 | Male | 3441 | 0 | 0 | 1 | 0 | 1 | Single | 3441 | 2 | ||||||
| 5 | Female | 5454 | 0 | 0 | 0 | 1 | 0 | Divorced | 5454 | 9 | ||||||
| 2 | Male | 9884 | 1 | 0 | 0 | 0 | 1 | Married | 9884 | 10 | ||||||
| 3 | Female | 4157 | 0 | 1 | 0 | 0 | 0 | Married | 4157 | 5 | ||||||
| 2 | Female | 13458 | 1 | 0 | 0 | 0 | 0 | Single | 13458 | 15 | ||||||
| 5 | Male | 9069 | 0 | 0 | 0 | 1 | 1 | Married | 9069 | 9 | ||||||
| 4 | Female | 4014 | 0 | 0 | 1 | 0 | 0 | Married | 4014 | 4 | ||||||
| 4 | Male | 5915 | 0 | 0 | 1 | 0 | 1 | Divorced | 5915 | 10 | ||||||
| 4 | Male | 5993 | 0 | 0 | 1 | 0 | 1 | Divorced | 5993 | 7 | ||||||
| 3 | Male | 6162 | 0 | 1 | 0 | 0 | 1 | Married | 6162 | 9 | ||||||
| 5 | Female | 2406 | 0 | 0 | 0 | 1 | 0 | Single | 2406 | 10 | ||||||
| 2 | Female | 18740 | 1 | 0 | 0 | 0 | 0 | Divorced | 18740 | 29 | ||||||
| 3 | Female | 7637 | 0 | 1 | 0 | 0 | 0 | Single | 7637 | 28 | ||||||
| 3 | Female | 10096 | 0 | 1 | 0 | 0 | 0 | Divorced | 10096 | 17 | ||||||
| 3 | Female | 14756 | 0 | 1 | 0 | 0 | 0 | Divorced | 14756 | 21 | ||||||
| 3 | Male | 6499 | 0 | 1 | 0 | 0 | 1 | Single | 6499 | 6 | ||||||
| 3 | Male | 9724 | 0 | 1 | 0 | 0 | 1 | Divorced | 9724 | 25 | ||||||
| 3 | Male | 2194 | 0 | 1 | 0 | 0 | 1 | Married | 2194 | 5 | ||||||
| 3 | Male | 3388 | 0 | 1 | 0 | 0 | 1 | Married | 3388 | 2 | ||||||
| 1 | Female | 5473 | 0 | 0 | 0 | 0 | 0 | Single | 5473 | 20 | ||||||
| 3 | Male | 2703 | 0 | 1 | 0 | 0 | 1 | Married | 2703 | 6 | ||||||
| 4 | Male | 2501 | 0 | 0 | 1 | 0 | 1 | Single | 2501 | 1 | ||||||
| 3 | Male | 6220 | 0 | 1 | 0 | 0 | 1 | Married | 6220 | 10 | ||||||
| 3 | Female | 3038 | 0 | 1 | 0 | 0 | 0 | Married | 3038 | 5 | ||||||
| 4 | Female | 4424 | 0 | 0 | 1 | 0 | 0 | Single | 4424 | 11 | ||||||
| 4 | Male | 4312 | 0 | 0 | 1 | 0 | 1 | Single | 4312 | 16 | ||||||
| 4 | Male | 13245 | 0 | 0 | 1 | 0 | 1 | Married | 13245 | 17 | ||||||
| 4 | Male | 13664 | 0 | 0 | 1 | 0 | 1 | Single | 13664 | 16 | ||||||
| 2 | Male | 5021 | 1 | 0 | 0 | 0 | 1 | Divorced | 5021 | 16 | ||||||
| 1 | Male | 5126 | 0 | 0 | 0 | 0 | 1 | Married | 5126 | 10 | ||||||
| 3 | Male | 2859 | 0 | 1 | 0 | 0 | 1 | Single | 2859 | 6 | ||||||
| 2 | Male | 10239 | 1 | 0 | 0 | 0 | 1 | Married | 10239 | 24 | ||||||
| 3 | Female | 5329 | 0 | 1 | 0 | 0 | 0 | Divorced | 5329 | 17 | ||||||
| 2 | Male | 4325 | 1 | 0 | 0 | 0 | 1 | Married | 4325 | 5 | ||||||
| 3 | Male | 7260 | 0 | 1 | 0 | 0 | 1 | Single | 7260 | 37 | ||||||
| 1 | Male | 2322 | 0 | 0 | 0 | 0 | 1 | Divorced | 2322 | 3 | ||||||
| 4 | Male | 2075 | 0 | 0 | 1 | 0 | 1 | Married | 2075 | 10 | ||||||
| 3 | Male | 4152 | 0 | 1 | 0 | 0 | 1 | Married | 4152 | 11 | ||||||
| 2 | Male | 9619 | 1 | 0 | 0 | 0 | 1 | Single | 9619 | 9 | ||||||
| 4 | Male | 13503 | 0 | 0 | 1 | 0 | 1 | Married | 13503 | 22 | ||||||
| 4 | Male | 5441 | 0 | 0 | 1 | 0 | 1 | Single | 5441 | 11 | ||||||
| 2 | Female | 5209 | 1 | 0 | 0 | 0 | 0 | Divorced | 5209 | 11 | ||||||
| 3 | Male | 10673 | 0 | 1 | 0 | 0 | 1 | Married | 10673 | 21 | ||||||
| 4 | Male | 5010 | 0 | 0 | 1 | 0 | 1 | Single | 5010 | 12 | ||||||
| 4 | Female | 13549 | 0 | 0 | 1 | 0 | 0 | Married | 13549 | 16 | ||||||
| 2 | Female | 4999 | 1 | 0 | 0 | 0 | 0 | Married | 4999 | 4 | ||||||
| 3 | Male | 4221 | 0 | 1 | 0 | 0 | 1 | Married | 4221 | 5 | ||||||
| 4 | Male | 13872 | 0 | 0 | 1 | 0 | 1 | Single | 13872 | 38 | ||||||
| 3 | Male | 2042 | 0 | 1 | 0 | 0 | 1 | Married | 2042 | 17 | ||||||
| 4 | Male | 2073 | 0 | 0 | 1 | 0 | 1 | Divorced | 2073 | 7 | ||||||
| 1 | Male | 2956 | 0 | 0 | 0 | 0 | 1 | Single | 2956 | 1 | ||||||
| 3 | Female | 2926 | 0 | 1 | 0 | 0 | 0 | Single | 2926 | 1 | ||||||
| 4 | Female | 4809 | 0 | 0 | 1 | 0 | 0 | Single | 4809 | 16 | ||||||
| 2 | Male | 5163 | 1 | 0 | 0 | 0 | 1 | Divorced | 5163 | 17 | ||||||
| 4 | Female | 18844 | 0 | 0 | 1 | 0 | 0 | Married | 18844 | 30 | ||||||
| 3 | Female | 18172 | 0 | 1 | 0 | 0 | 0 | Married | 18172 | 28 | ||||||
| 3 | Male | 5744 | 0 | 1 | 0 | 0 | 1 | Single | 5744 | 6 | ||||||
| 1 | Male | 2889 | 0 | 0 | 0 | 0 | 1 | Married | 2889 | 2 | ||||||
| 3 | Female | 2871 | 0 | 1 | 0 | 0 | 0 | Single | 2871 | 1 | ||||||
| 4 | Female | 7484 | 0 | 0 | 1 | 0 | 0 | Single | 7484 | 23 | ||||||
| 3 | Male | 6074 | 0 | 1 | 0 | 0 | 1 | Single | 6074 | 9 | ||||||
| 3 | Female | 17328 | 0 | 1 | 0 | 0 | 0 | Single | 17328 | 23 | ||||||
| 1 | Male | 2774 | 0 | 0 | 0 | 0 | 1 | Married | 2774 | 6 | ||||||
| 4 | Female | 4505 | 0 | 0 | 1 | 0 | 0 | Divorced | 4505 | 12 | ||||||
| 3 | Male | 7428 | 0 | 1 | 0 | 0 | 1 | Single | 7428 | 12 | ||||||
| 3 | Female | 11631 | 0 | 1 | 0 | 0 | 0 | Single | 11631 | 14 | ||||||
| 2 | Female | 9738 | 1 | 0 | 0 | 0 | 0 | Married | 9738 | 10 | ||||||
| 2 | Female | 2835 | 1 | 0 | 0 | 0 | 0 | Divorced | 2835 | 7 | ||||||
| 2 | Male | 16959 | 1 | 0 | 0 | 0 | 1 | Married | 16959 | 25 | ||||||
| 3 | Male | 2613 | 0 | 1 | 0 | 0 | 1 | Divorced | 2613 | 10 | ||||||
| 2 | Male | 6146 | 1 | 0 | 0 | 0 | 1 | Married | 6146 | 8 | ||||||
| 4 | Female | 4963 | 0 | 0 | 1 | 0 | 0 | Married | 4963 | 7 | ||||||
| 3 | Male | 19537 | 0 | 1 | 0 | 0 | 1 | Single | 19537 | 23 | ||||||
| 4 | Male | 6172 | 0 | 0 | 1 | 0 | 1 | Married | 6172 | 12 | ||||||
| 3 | Female | 2368 | 0 | 1 | 0 | 0 | 0 | Married | 2368 | 5 | ||||||
| 4 | Female | 10312 | 0 | 0 | 1 | 0 | 0 | Married | 10312 | 40 | ||||||
| 1 | Male | 1675 | 0 | 0 | 0 | 0 | 1 | Single | 1675 | 0 | ||||||
| 1 | Male | 2523 | 0 | 0 | 0 | 0 | 1 | Married | 2523 | 3 | ||||||
| 4 | Female | 6567 | 0 | 0 | 1 | 0 | 0 | Married | 6567 | 16 | ||||||
| 3 | Female | 4739 | 0 | 1 | 0 | 0 | 0 | Single | 4739 | 18 | ||||||
| 3 | Female | 9208 | 0 | 1 | 0 | 0 | 0 | Single | 9208 | 16 | ||||||
| 3 | Female | 4559 | 0 | 1 | 0 | 0 | 0 | Married | 4559 | 4 | ||||||
| 1 | Male | 8189 | 0 | 0 | 0 | 0 | 1 | Divorced | 8189 | 12 | ||||||
| 1 | Female | 2942 | 0 | 0 | 0 | 0 | 0 | Married | 2942 | 8 | ||||||
| 2 | Male | 4941 | 1 | 0 | 0 | 0 | 1 | Divorced | 4941 | 7 | ||||||
| 4 | Male | 10650 | 0 | 0 | 1 | 0 | 1 | Single | 10650 | 18 | ||||||
| 4 | Female | 5902 | 0 | 0 | 1 | 0 | 0 | Married | 5902 | 17 | ||||||
| 3 | Male | 8639 | 0 | 1 | 0 | 0 | 1 | Married | 8639 | 6 | ||||||
| 3 | Male | 6347 | 0 | 1 | 0 | 0 | 1 | Married | 6347 | 12 | ||||||
| 3 | Female | 4200 | 0 | 1 | 0 | 0 | 0 | Single | 4200 | 10 | ||||||
| 3 | Male | 3452 | 0 | 1 | 0 | 0 | 1 | Single | 3452 | 9 | ||||||
| 5 | Female | 4317 | 0 | 0 | 0 | 1 | 0 | Single | 4317 | 19 | ||||||
| 3 | Female | 2632 | 0 | 1 | 0 | 0 | 0 | Single | 2632 | 5 | ||||||
| 2 | Male | 4668 | 1 | 0 | 0 | 0 | 1 | Divorced | 4668 | 9 | ||||||
| 3 | Female | 3204 | 0 | 1 | 0 | 0 | 0 | Divorced | 3204 | 8 | ||||||
| 1 | Male | 2720 | 0 | 0 | 0 | 0 | 1 | Single | 2720 | 6 | ||||||
| 3 | Male | 17181 | 0 | 1 | 0 | 0 | 1 | Divorced | 17181 | 21 | ||||||
| 4 | Male | 2238 | 0 | 0 | 1 | 0 | 1 | Married | 2238 | 7 | ||||||
| 1 | Female | 1483 | 0 | 0 | 0 | 0 | 0 | Single | 1483 | 1 | ||||||
| 3 | Female | 5605 | 0 | 1 | 0 | 0 | 0 | Divorced | 5605 | 20 | ||||||
| 5 | Male | 7295 | 0 | 0 | 0 | 1 | 1 | Married | 7295 | 10 | ||||||
| 2 | Male | 2306 | 1 | 0 | 0 | 0 | 1 | Married | 2306 | 13 | ||||||
| 3 | Male | 2348 | 0 | 1 | 0 | 0 | 1 | Divorced | 2348 | 20 | ||||||
| 3 | Female | 8998 | 0 | 1 | 0 | 0 | 0 | Single | 8998 | 9 | ||||||
| 1 | Male | 4319 | 0 | 0 | 0 | 0 | 1 | Married | 4319 | 10 | ||||||
| 4 | Male | 6132 | 0 | 0 | 1 | 0 | 1 | Married | 6132 | 10 | ||||||
| 3 | Female | 3346 | 0 | 1 | 0 | 0 | 0 | Married | 3346 | 9 | ||||||
| 4 | Male | 10855 | 0 | 0 | 1 | 0 | 1 | Married | 10855 | 15 | ||||||
| 4 | Female | 2231 | 0 | 0 | 1 | 0 | 0 | Married | 2231 | 6 | ||||||
| 1 | Male | 2323 | 0 | 0 | 0 | 0 | 1 | Married | 2323 | 2 | ||||||
| 3 | Male | 2024 | 0 | 1 | 0 | 0 | 1 | Divorced | 2024 | 6 | ||||||
| 3 | Male | 2713 | 0 | 1 | 0 | 0 | 1 | Married | 2713 | 5 | ||||||
| 2 | Male | 9439 | 1 | 0 | 0 | 0 | 1 | Divorced | 9439 | 12 | ||||||
| 3 | Male | 2566 | 0 | 1 | 0 | 0 | 1 | Divorced | 2566 | 1 | ||||||
| 3 | Female | 19926 | 0 | 1 | 0 | 0 | 0 | Single | 19926 | 21 | ||||||
| 3 | Male | 2451 | 0 | 1 | 0 | 0 | 1 | Divorced | 2451 | 13 | ||||||
| 3 | Female | 9419 | 0 | 1 | 0 | 0 | 0 | Married | 9419 | 12 | ||||||
| 4 | Female | 8686 | 0 | 0 | 1 | 0 | 0 | Single | 8686 | 12 | ||||||
| 5 | Male | 3038 | 0 | 0 | 0 | 1 | 1 | Single | 3038 | 8 | ||||||
| 3 | Male | 3058 | 0 | 1 | 0 | 0 | 1 | Married | 3058 | 6 | ||||||
| 1 | Female | 2325 | 0 | 0 | 0 | 0 | 0 | Single | 2325 | 1 | ||||||
| 2 | Male | 2088 | 1 | 0 | 0 | 0 | 1 | Single | 2088 | 13 | ||||||
| 3 | Male | 3072 | 0 | 1 | 0 | 0 | 1 | Divorced | 3072 | 12 | ||||||
| 2 | Female | 5006 | 1 | 0 | 0 | 0 | 0 | Divorced | 5006 | 9 | ||||||
| 3 | Female | 4257 | 0 | 1 | 0 | 0 | 0 | Divorced | 4257 | 19 | ||||||
| 3 | Male | 2500 | 0 | 1 | 0 | 0 | 1 | Single | 2500 | 4 | ||||||
| 3 | Male | 1102 | 0 | 1 | 0 | 0 | 1 | Single | 1102 | 1 | ||||||
| 2 | Female | 10453 | 1 | 0 | 0 | 0 | 0 | Divorced | 10453 | 24 | ||||||
| 2 | Female | 2288 | 1 | 0 | 0 | 0 | 0 | Single | 2288 | 2 | ||||||
| 1 | Female | 3929 | 0 | 0 | 0 | 0 | 0 | Married | 3929 | 7 | ||||||
| 2 | Female | 2311 | 1 | 0 | 0 | 0 | 0 | Single | 2311 | 9 | ||||||
| 2 | Female | 3140 | 1 | 0 | 0 | 0 | 0 | Single | 3140 | 4 | ||||||
| 3 | Male | 3690 | 0 | 1 | 0 | 0 | 1 | Married | 3690 | 5 | ||||||
| 2 | Female | 4450 | 1 | 0 | 0 | 0 | 0 | Divorced | 4450 | 5 | ||||||
| 3 | Female | 2756 | 0 | 1 | 0 | 0 | 0 | Married | 2756 | 8 | ||||||
| 1 | Female | 19033 | 0 | 0 | 0 | 0 | 0 | Married | 19033 | 21 | ||||||
| 4 | Male | 18722 | 0 | 0 | 1 | 0 | 1 | Single | 18722 | 36 | ||||||
| 1 | Male | 9547 | 0 | 0 | 0 | 0 | 1 | Married | 9547 | 10 | ||||||
| 3 | Female | 13734 | 0 | 1 | 0 | 0 | 0 | Single | 13734 | 21 | ||||||
| 4 | Male | 19999 | 0 | 0 | 1 | 0 | 1 | Married | 19999 | 34 | ||||||
| 3 | Female | 2279 | 0 | 1 | 0 | 0 | 0 | Single | 2279 | 7 | ||||||
| 2 | Male | 5916 | 1 | 0 | 0 | 0 | 1 | Married | 5916 | 8 | ||||||
| 3 | Male | 2089 | 0 | 1 | 0 | 0 | 1 | Divorced | 2089 | 7 | ||||||
| 2 | Male | 16792 | 1 | 0 | 0 | 0 | 1 | Married | 16792 | 22 | ||||||
| 3 | Male | 3564 | 0 | 1 | 0 | 0 | 1 | Married | 3564 | 8 | ||||||
| 3 | Female | 4425 | 0 | 1 | 0 | 0 | 0 | Single | 4425 | 10 | ||||||
| 2 | Female | 5265 | 1 | 0 | 0 | 0 | 0 | Divorced | 5265 | 11 | ||||||
| 4 | Male | 6553 | 0 | 0 | 1 | 0 | 1 | Married | 6553 | 14 | ||||||
| 3 | Male | 6261 | 0 | 1 | 0 | 0 | 1 | Married | 6261 | 9 | ||||||
| 1 | Male | 4298 | 0 | 0 | 0 | 0 | 1 | Married | 4298 | 6 | ||||||
| 4 | Male | 6804 | 0 | 0 | 1 | 0 | 1 | Divorced | 6804 | 7 | ||||||
| 4 | Male | 3815 | 0 | 0 | 1 | 0 | 1 | Divorced | 3815 | 5 | ||||||
| 2 | Male | 2741 | 1 | 0 | 0 | 0 | 1 | Married | 2741 | 15 | ||||||
| 1 | Male | 6673 | 0 | 0 | 0 | 0 | 1 | Married | 6673 | 17 | ||||||
| 3 | Female | 7639 | 0 | 1 | 0 | 0 | 0 | Married | 7639 | 10 | ||||||
| 3 | Male | 2328 | 0 | 1 | 0 | 0 | 1 | Divorced | 2328 | 4 | ||||||
| 1 | Female | 2153 | 0 | 0 | 0 | 0 | 0 | Single | 2153 | 8 | ||||||
| 5 | Male | 4876 | 0 | 0 | 0 | 1 | 1 | Married | 4876 | 5 | ||||||
| 4 | Male | 9396 | 0 | 0 | 1 | 0 | 1 | Divorced | 9396 | 17 | ||||||
| 4 | Male | 10400 | 0 | 0 | 1 | 0 | 1 | Married | 10400 | 14 | ||||||
| 1 | Male | 8474 | 0 | 0 | 0 | 0 | 1 | Single | 8474 | 12 | ||||||
| 3 | Female | 9981 | 0 | 1 | 0 | 0 | 0 | Single | 9981 | 7 | ||||||
| 4 | Male | 12490 | 0 | 0 | 1 | 0 | 1 | Married | 12490 | 16 | ||||||
| 3 | Female | 2657 | 0 | 1 | 0 | 0 | 0 | Single | 2657 | 8 | ||||||
| 3 | Female | 13591 | 0 | 1 | 0 | 0 | 0 | Single | 13591 | 16 | ||||||
| 4 | Female | 6696 | 0 | 0 | 1 | 0 | 0 | Single | 6696 | 9 | ||||||
| 3 | Male | 2058 | 0 | 1 | 0 | 0 | 1 | Single | 2058 | 7 | ||||||
| 3 | Female | 8865 | 0 | 1 | 0 | 0 | 0 | Single | 8865 | 23 | ||||||
| 3 | Female | 5940 | 0 | 1 | 0 | 0 | 0 | Married | 5940 | 16 | ||||||
| 2 | Male | 5914 | 1 | 0 | 0 | 0 | 1 | Single | 5914 | 16 | ||||||
| 4 | Female | 2622 | 0 | 0 | 1 | 0 | 0 | Married | 2622 | 7 | ||||||
| 3 | Male | 12185 | 0 | 1 | 0 | 0 | 1 | Divorced | 12185 | 10 | ||||||
| 3 | Male | 10609 | 0 | 1 | 0 | 0 | 1 | Divorced | 10609 | 17 | ||||||
| 4 | Male | 4345 | 0 | 0 | 1 | 0 | 1 | Married | 4345 | 6 | ||||||
| 3 | Male | 2177 | 0 | 1 | 0 | 0 | 1 | Married | 2177 | 7 | ||||||
| 4 | Male | 2793 | 0 | 0 | 1 | 0 | 1 | Divorced | 2793 | 13 | ||||||
| 1 | Female | 7918 | 0 | 0 | 0 | 0 | 0 | Married | 7918 | 11 | ||||||
| 3 | Female | 8789 | 0 | 1 | 0 | 0 | 0 | Single | 8789 | 10 | ||||||
| 1 | Male | 2389 | 0 | 0 | 0 | 0 | 1 | Single | 2389 | 4 | ||||||
| 3 | Female | 3212 | 0 | 1 | 0 | 0 | 0 | Single | 3212 | 6 | ||||||
| 2 | Male | 19232 | 1 | 0 | 0 | 0 | 1 | Married | 19232 | 22 | ||||||
| 2 | Male | 2267 | 1 | 0 | 0 | 0 | 1 | Married | 2267 | 7 | ||||||
| 4 | Female | 19517 | 0 | 0 | 1 | 0 | 0 | Divorced | 19517 | 32 | ||||||
| 3 | Male | 2436 | 0 | 1 | 0 | 0 | 1 | Married | 2436 | 8 | ||||||
| 3 | Female | 16064 | 0 | 1 | 0 | 0 | 0 | Married | 16064 | 22 | ||||||
| 2 | Female | 2707 | 1 | 0 | 0 | 0 | 0 | Married | 2707 | 13 | ||||||
| 4 | Male | 19068 | 0 | 0 | 1 | 0 | 1 | Single | 19068 | 33 | ||||||
| 2 | Female | 3931 | 1 | 0 | 0 | 0 | 0 | Married | 3931 | 6 | ||||||
| 3 | Male | 3730 | 0 | 1 | 0 | 0 | 1 | Single | 3730 | 4 | ||||||
| 4 | Female | 2232 | 0 | 0 | 1 | 0 | 0 | Divorced | 2232 | 7 | ||||||
| 4 | Male | 4465 | 0 | 0 | 1 | 0 | 1 | Married | 4465 | 4 | ||||||
| 2 | Male | 3072 | 1 | 0 | 0 | 0 | 1 | Divorced | 3072 | 17 | ||||||
| 2 | Male | 3319 | 1 | 0 | 0 | 0 | 1 | Divorced | 3319 | 9 | ||||||
| 3 | Male | 19202 | 0 | 1 | 0 | 0 | 1 | Married | 19202 | 25 | ||||||
| 4 | Male | 13675 | 0 | 0 | 1 | 0 | 1 | Divorced | 13675 | 9 | ||||||
| 4 | Female | 2911 | 0 | 0 | 1 | 0 | 0 | Married | 2911 | 2 | ||||||
| 4 | Male | 5957 | 0 | 0 | 1 | 0 | 1 | Married | 5957 | 13 | ||||||
| 2 | Female | 3920 | 1 | 0 | 0 | 0 | 0 | Married | 3920 | 17 | ||||||
| 4 | Male | 6434 | 0 | 0 | 1 | 0 | 1 | Married | 6434 | 9 | ||||||
| 3 | Male | 10048 | 0 | 1 | 0 | 0 | 1 | Divorced | 10048 | 17 | ||||||
| 4 | Female | 10938 | 0 | 0 | 1 | 0 | 0 | Single | 10938 | 20 | ||||||
| 3 | Male | 2340 | 0 | 1 | 0 | 0 | 1 | Single | 2340 | 6 | ||||||
| 2 | Female | 6545 | 1 | 0 | 0 | 0 | 0 | Single | 6545 | 10 | ||||||
| 2 | Male | 6931 | 1 | 0 | 0 | 0 | 1 | Divorced | 6931 | 10 | ||||||
| 3 | Female | 4898 | 0 | 1 | 0 | 0 | 0 | Married | 4898 | 5 | ||||||
| 3 | Female | 2593 | 0 | 1 | 0 | 0 | 0 | Divorced | 2593 | 10 | ||||||
| 2 | Male | 19436 | 1 | 0 | 0 | 0 | 1 | Divorced | 19436 | 22 | ||||||
| 3 | Male | 2723 | 0 | 1 | 0 | 0 | 1 | Married | 2723 | 1 | ||||||
| 2 | Male | 3479 | 1 | 0 | 0 | 0 | 1 | Single | 3479 | 6 | ||||||
| 3 | Male | 2794 | 0 | 1 | 0 | 0 | 1 | Married | 2794 | 5 | ||||||
| 2 | Male | 5249 | 1 | 0 | 0 | 0 | 1 | Married | 5249 | 13 | ||||||
| 1 | Male | 2176 | 0 | 0 | 0 | 0 | 1 | Single | 2176 | 9 | ||||||
| 3 | Female | 16872 | 0 | 1 | 0 | 0 | 0 | Married | 16872 | 28 | ||||||
| 4 | Male | 3485 | 0 | 0 | 1 | 0 | 1 | Single | 3485 | 5 | ||||||
| 3 | Male | 6644 | 0 | 1 | 0 | 0 | 1 | Married | 6644 | 10 | ||||||
| 3 | Male | 5582 | 0 | 1 | 0 | 0 | 1 | Married | 5582 | 10 | ||||||
| 2 | Male | 4000 | 1 | 0 | 0 | 0 | 1 | Divorced | 4000 | 6 | ||||||
| 2 | Male | 13496 | 1 | 0 | 0 | 0 | 1 | Married | 13496 | 21 | ||||||
| 3 | Male | 3210 | 0 | 1 | 0 | 0 | 1 | Married | 3210 | 16 | ||||||
| 3 | Male | 19045 | 0 | 1 | 0 | 0 | 1 | Single | 19045 | 37 | ||||||
| 4 | Male | 11849 | 0 | 0 | 1 | 0 | 1 | Married | 11849 | 10 | ||||||
| 3 | Male | 2070 | 0 | 1 | 0 | 0 | 1 | Married | 2070 | 5 | ||||||
| 4 | Male | 6502 | 0 | 0 | 1 | 0 | 1 | Married | 6502 | 7 | ||||||
| 2 | Male | 3230 | 1 | 0 | 0 | 0 | 1 | Single | 3230 | 3 | ||||||
| 4 | Female | 13603 | 0 | 0 | 1 | 0 | 0 | Divorced | 13603 | 15 | ||||||
| 3 | Female | 11996 | 0 | 1 | 0 | 0 | 0 | Divorced | 11996 | 10 | ||||||
| 2 | Female | 5605 | 1 | 0 | 0 | 0 | 0 | Divorced | 5605 | 8 | ||||||
| 3 | Female | 6397 | 0 | 1 | 0 | 0 | 0 | Divorced | 6397 | 6 | ||||||
| 1 | Male | 19144 | 0 | 0 | 0 | 0 | 1 | Divorced | 19144 | 28 | ||||||
| 4 | Male | 17584 | 0 | 0 | 1 | 0 | 1 | Married | 17584 | 21 | ||||||
| 1 | Male | 4907 | 0 | 0 | 0 | 0 | 1 | Married | 4907 | 20 | ||||||
| 2 | Male | 4554 | 1 | 0 | 0 | 0 | 1 | Single | 4554 | 10 | ||||||
| 2 | Male | 5415 | 1 | 0 | 0 | 0 | 1 | Married | 5415 | 12 | ||||||
| 2 | Male | 4741 | 1 | 0 | 0 | 0 | 1 | Married | 4741 | 5 | ||||||
| 3 | Female | 2115 | 0 | 1 | 0 | 0 | 0 | Single | 2115 | 17 | ||||||
| 3 | Male | 3161 | 0 | 1 | 0 | 0 | 1 | Divorced | 3161 | 19 | ||||||
| 4 | Male | 5745 | 0 | 0 | 1 | 0 | 1 | Divorced | 5745 | 10 | ||||||
| 4 | Male | 2373 | 0 | 0 | 1 | 0 | 1 | Divorced | 2373 | 5 | ||||||
| 2 | Female | 3310 | 1 | 0 | 0 | 0 | 0 | Single | 3310 | 5 | ||||||
| 4 | Female | 18665 | 0 | 0 | 1 | 0 | 0 | Single | 18665 | 22 | ||||||
| 3 | Male | 4485 | 0 | 1 | 0 | 0 | 1 | Single | 4485 | 10 | ||||||
| 3 | Female | 2789 | 0 | 1 | 0 | 0 | 0 | Divorced | 2789 | 2 | ||||||
| 4 | Male | 5828 | 0 | 0 | 1 | 0 | 1 | Single | 5828 | 8 | ||||||
| 3 | Male | 2326 | 0 | 1 | 0 | 0 | 1 | Married | 2326 | 4 | ||||||
| 3 | Female | 13525 | 0 | 1 | 0 | 0 | 0 | Married | 13525 | 23 | ||||||
| 3 | Male | 1420 | 0 | 1 | 0 | 0 | 1 | Single | 1420 | 0 | ||||||
| 3 | Male | 8020 | 0 | 1 | 0 | 0 | 1 | Married | 8020 | 12 | ||||||
| 4 | Male | 3688 | 0 | 0 | 1 | 0 | 1 | Married | 3688 | 4 | ||||||
| 3 | Male | 5482 | 0 | 1 | 0 | 0 | 1 | Divorced | 5482 | 13 | ||||||
| 4 | Male | 16015 | 0 | 0 | 1 | 0 | 1 | Single | 16015 | 22 | ||||||
| 3 | Female | 1200 | 0 | 1 | 0 | 0 | 0 | Single | 1200 | 0 | ||||||
| 2 | Male | 5661 | 1 | 0 | 0 | 0 | 1 | Single | 5661 | 9 | ||||||
| 3 | Male | 6929 | 0 | 1 | 0 | 0 | 1 | Married | 6929 | 10 | ||||||
| 3 | Male | 9613 | 0 | 1 | 0 | 0 | 1 | Divorced | 9613 | 19 | ||||||
| 4 | Female | 5674 | 0 | 0 | 1 | 0 | 0 | Married | 5674 | 11 | ||||||
| 3 | Male | 5484 | 0 | 1 | 0 | 0 | 1 | Married | 5484 | 13 | ||||||
| 2 | Female | 12061 | 1 | 0 | 0 | 0 | 0 | Married | 12061 | 19 | ||||||
| 4 | Male | 5660 | 0 | 0 | 1 | 0 | 1 | Divorced | 5660 | 12 | ||||||
| 4 | Male | 4821 | 0 | 0 | 1 | 0 | 1 | Married | 4821 | 6 | ||||||
| 3 | Male | 6410 | 0 | 1 | 0 | 0 | 1 | Married | 6410 | 9 | ||||||
| 3 | Male | 5210 | 0 | 1 | 0 | 0 | 1 | Divorced | 5210 | 24 | ||||||
| 4 | Male | 2695 | 0 | 0 | 1 | 0 | 1 | Divorced | 2695 | 3 | ||||||
| 4 | Female | 11878 | 0 | 0 | 1 | 0 | 0 | Married | 11878 | 12 | ||||||
| 1 | Male | 17068 | 0 | 0 | 0 | 0 | 1 | Married | 17068 | 21 | ||||||
| 4 | Female | 2455 | 0 | 0 | 1 | 0 | 0 | Single | 2455 | 9 | ||||||
| 2 | Female | 13964 | 1 | 0 | 0 | 0 | 0 | Single | 13964 | 25 | ||||||
| 4 | Male | 4941 | 0 | 0 | 1 | 0 | 1 | Married | 4941 | 11 | ||||||
| 3 | Female | 2478 | 0 | 1 | 0 | 0 | 0 | Single | 2478 | 4 | ||||||
| 2 | Female | 5228 | 1 | 0 | 0 | 0 | 0 | Married | 5228 | 13 | ||||||
| 3 | Male | 4478 | 0 | 1 | 0 | 0 | 1 | Single | 4478 | 5 | ||||||
| 3 | Male | 7547 | 0 | 1 | 0 | 0 | 1 | Divorced | 7547 | 13 | ||||||
| 4 | Female | 5055 | 0 | 0 | 1 | 0 | 0 | Single | 5055 | 10 | ||||||
| 4 | Male | 3464 | 0 | 0 | 1 | 0 | 1 | Married | 3464 | 5 | ||||||
| 2 | Female | 5775 | 1 | 0 | 0 | 0 | 0 | Married | 5775 | 11 | ||||||
| 2 | Female | 8943 | 1 | 0 | 0 | 0 | 0 | Married | 8943 | 10 | ||||||
| 2 | Male | 19272 | 1 | 0 | 0 | 0 | 1 | Married | 19272 | 21 | ||||||
| 2 | Female | 5238 | 1 | 0 | 0 | 0 | 0 | Married | 5238 | 12 | ||||||
| 3 | Male | 4682 | 0 | 1 | 0 | 0 | 1 | Single | 4682 | 9 | ||||||
| 5 | Male | 18300 | 0 | 0 | 0 | 1 | 1 | Married | 18300 | 21 | ||||||
| 4 | Female | 5257 | 0 | 0 | 1 | 0 | 0 | Divorced | 5257 | 9 | ||||||
| 1 | Male | 6349 | 0 | 0 | 0 | 0 | 1 | Married | 6349 | 6 | ||||||
| 4 | Female | 4869 | 0 | 0 | 1 | 0 | 0 | Single | 4869 | 20 | ||||||
| 3 | Female | 9985 | 0 | 1 | 0 | 0 | 0 | Married | 9985 | 10 | ||||||
| 4 | Male | 3697 | 0 | 0 | 1 | 0 | 1 | Married | 3697 | 12 | ||||||
| 2 | Male | 7457 | 1 | 0 | 0 | 0 | 1 | Married | 7457 | 6 | ||||||
| 4 | Male | 2119 | 0 | 0 | 1 | 0 | 1 | Married | 2119 | 7 | ||||||
| 5 | Male | 3983 | 0 | 0 | 0 | 1 | 1 | Single | 3983 | 4 | ||||||
| 3 | Female | 6118 | 0 | 1 | 0 | 0 | 0 | Divorced | 6118 | 10 | ||||||
| 4 | Female | 6214 | 0 | 0 | 1 | 0 | 0 | Married | 6214 | 8 | ||||||
| 2 | Male | 6347 | 1 | 0 | 0 | 0 | 1 | Divorced | 6347 | 8 | ||||||
| 2 | Male | 11510 | 1 | 0 | 0 | 0 | 1 | Divorced | 11510 | 12 | ||||||
| 4 | Female | 7143 | 0 | 0 | 1 | 0 | 0 | Single | 7143 | 11 | ||||||
| 1 | Female | 8268 | 0 | 0 | 0 | 0 | 0 | Divorced | 8268 | 7 | ||||||
| 4 | Male | 8095 | 0 | 0 | 1 | 0 | 1 | Single | 8095 | 17 | ||||||
| 1 | Male | 2904 | 0 | 0 | 0 | 0 | 1 | Divorced | 2904 | 4 | ||||||
| 3 | Male | 6032 | 0 | 1 | 0 | 0 | 1 | Single | 6032 | 8 | ||||||
| 1 | Male | 2976 | 0 | 0 | 0 | 0 | 1 | Single | 2976 | 5 | ||||||
| 5 | Female | 15992 | 0 | 0 | 0 | 1 | 0 | Single | 15992 | 16 | ||||||
| 3 | Male | 4649 | 0 | 1 | 0 | 0 | 1 | Married | 4649 | 4 | ||||||
| 1 | Male | 2696 | 0 | 0 | 0 | 0 | 1 | Divorced | 2696 | 4 | ||||||
| 3 | Female | 2370 | 0 | 1 | 0 | 0 | 0 | Married | 2370 | 8 | ||||||
| 1 | Female | 12504 | 0 | 0 | 0 | 0 | 0 | Married | 12504 | 15 | ||||||
| 3 | Male | 5974 | 0 | 1 | 0 | 0 | 1 | Divorced | 5974 | 13 | ||||||
| 2 | Female | 4736 | 1 | 0 | 0 | 0 | 0 | Married | 4736 | 4 | ||||||
| 3 | Male | 5296 | 0 | 1 | 0 | 0 | 1 | Married | 5296 | 8 | ||||||
| 4 | Male | 6781 | 0 | 0 | 1 | 0 | 1 | Single | 6781 | 14 | ||||||
| 1 | Female | 2174 | 0 | 0 | 0 | 0 | 0 | Single | 2174 | 3 | ||||||
| 5 | Female | 6653 | 0 | 0 | 0 | 1 | 0 | Single | 6653 | 7 | ||||||
| 4 | Male | 9699 | 0 | 0 | 1 | 0 | 1 | Married | 9699 | 16 | ||||||
| 4 | Male | 6755 | 0 | 0 | 1 | 0 | 1 | Married | 6755 | 15 | ||||||
| 4 | Female | 2213 | 0 | 0 | 1 | 0 | 0 | Married | 2213 | 10 | ||||||
| 2 | Male | 2610 | 1 | 0 | 0 | 0 | 1 | Single | 2610 | 3 | ||||||
| 3 | Female | 2851 | 0 | 1 | 0 | 0 | 0 | Single | 2851 | 1 | ||||||
| 3 | Female | 3452 | 0 | 1 | 0 | 0 | 0 | Married | 3452 | 17 | ||||||
| 4 | Female | 5258 | 0 | 0 | 1 | 0 | 0 | Married | 5258 | 7 | ||||||
| 3 | Male | 9355 | 0 | 1 | 0 | 0 | 1 | Single | 9355 | 8 | ||||||
| 3 | Male | 10496 | 0 | 1 | 0 | 0 | 1 | Single | 10496 | 20 | ||||||
| 2 | Male | 6380 | 1 | 0 | 0 | 0 | 1 | Married | 6380 | 8 | ||||||
| 4 | Male | 2657 | 0 | 0 | 1 | 0 | 1 | Single | 2657 | 3 | ||||||
| 3 | Female | 2716 | 0 | 1 | 0 | 0 | 0 | Single | 2716 | 1 | ||||||
| 3 | Male | 2201 | 0 | 1 | 0 | 0 | 1 | Single | 2201 | 6 | ||||||
| 4 | Male | 6540 | 0 | 0 | 1 | 0 | 1 | Single | 6540 | 10 | ||||||
| 2 | Male | 3816 | 1 | 0 | 0 | 0 | 1 | Divorced | 3816 | 5 | ||||||
| 4 | Male | 5253 | 0 | 0 | 1 | 0 | 1 | Single | 5253 | 7 | ||||||
| 3 | Male | 10965 | 0 | 1 | 0 | 0 | 1 | Single | 10965 | 26 | ||||||
| 2 | Female | 4936 | 1 | 0 | 0 | 0 | 0 | Married | 4936 | 18 | ||||||
| 3 | Female | 2543 | 0 | 1 | 0 | 0 | 0 | Married | 2543 | 6 | ||||||
| 3 | Male | 5304 | 0 | 1 | 0 | 0 | 1 | Single | 5304 | 9 | ||||||
| 3 | Female | 16659 | 0 | 1 | 0 | 0 | 0 | Single | 16659 | 30 | ||||||
| 4 | Female | 4260 | 0 | 0 | 1 | 0 | 0 | Divorced | 4260 | 5 | ||||||
| 1 | Male | 2476 | 0 | 0 | 0 | 0 | 1 | Married | 2476 | 1 | ||||||
| 1 | Male | 3102 | 0 | 0 | 0 | 0 | 1 | Single | 3102 | 7 | ||||||
| 3 | Female | 2244 | 0 | 1 | 0 | 0 | 0 | Married | 2244 | 2 | ||||||
| 2 | Male | 7596 | 1 | 0 | 0 | 0 | 1 | Married | 7596 | 10 | ||||||
| 3 | Male | 2285 | 0 | 1 | 0 | 0 | 1 | Single | 2285 | 3 | ||||||
| 3 | Female | 3034 | 0 | 1 | 0 | 0 | 0 | Divorced | 3034 | 18 | ||||||
| 2 | Female | 5715 | 1 | 0 | 0 | 0 | 0 | Divorced | 5715 | 8 | ||||||
| 4 | Female | 2576 | 0 | 0 | 1 | 0 | 0 | Divorced | 2576 | 8 | ||||||
| 4 | Male | 4197 | 0 | 0 | 1 | 0 | 1 | Single | 4197 | 18 | ||||||
| 3 | Male | 14336 | 0 | 1 | 0 | 0 | 1 | Divorced | 14336 | 25 | ||||||
| 3 | Female | 3448 | 0 | 1 | 0 | 0 | 0 | Married | 3448 | 20 | ||||||
| 2 | Male | 19406 | 1 | 0 | 0 | 0 | 1 | Married | 19406 | 24 | ||||||
| 4 | Female | 6538 | 0 | 0 | 1 | 0 | 0 | Married | 6538 | 6 | ||||||
| 2 | Female | 4306 | 1 | 0 | 0 | 0 | 0 | Married | 4306 | 13 | ||||||
| 3 | Male | 2258 | 0 | 1 | 0 | 0 | 1 | Married | 2258 | 8 | ||||||
| 4 | Female | 4522 | 0 | 0 | 1 | 0 | 0 | Divorced | 4522 | 8 | ||||||
| 2 | Female | 4487 | 1 | 0 | 0 | 0 | 0 | Single | 4487 | 5 | ||||||
| 5 | Female | 4449 | 0 | 0 | 0 | 1 | 0 | Married | 4449 | 15 | ||||||
| 2 | Male | 2218 | 1 | 0 | 0 | 0 | 1 | Married | 2218 | 4 | ||||||
| 1 | Male | 19197 | 0 | 0 | 0 | 0 | 1 | Divorced | 19197 | 21 | ||||||
| 3 | Female | 13212 | 0 | 1 | 0 | 0 | 0 | Married | 13212 | 36 | ||||||
| 3 | Female | 6577 | 0 | 1 | 0 | 0 | 0 | Single | 6577 | 6 | ||||||
| 3 | Male | 8392 | 0 | 1 | 0 | 0 | 1 | Married | 8392 | 10 | ||||||
| 2 | Male | 4558 | 1 | 0 | 0 | 0 | 1 | Divorced | 4558 | 10 | ||||||
| 3 | Male | 4031 | 0 | 1 | 0 | 0 | 1 | Married | 4031 | 6 | ||||||
| 3 | Male | 7969 | 0 | 1 | 0 | 0 | 1 | Married | 7969 | 28 | ||||||
| 2 | Male | 2654 | 1 | 0 | 0 | 0 | 1 | Married | 2654 | 8 | ||||||
| 2 | Female | 16555 | 1 | 0 | 0 | 0 | 0 | Married | 16555 | 31 | ||||||
| 2 | Female | 4556 | 1 | 0 | 0 | 0 | 0 | Divorced | 4556 | 19 | ||||||
| 3 | Female | 6091 | 0 | 1 | 0 | 0 | 0 | Single | 6091 | 11 | ||||||
| 3 | Female | 19566 | 0 | 1 | 0 | 0 | 0 | Married | 19566 | 33 | ||||||
| 3 | Female | 4810 | 0 | 1 | 0 | 0 | 0 | Divorced | 4810 | 19 | ||||||
| 4 | Female | 4523 | 0 | 0 | 1 | 0 | 0 | Married | 4523 | 7 | ||||||
| 1 | Female | 3202 | 0 | 0 | 0 | 0 | 0 | Single | 3202 | 6 | ||||||
| 2 | Female | 2351 | 1 | 0 | 0 | 0 | 0 | Divorced | 2351 | 3 | ||||||
| 2 | Male | 1702 | 1 | 0 | 0 | 0 | 1 | Married | 1702 | 1 | ||||||
| 4 | Female | 18041 | 0 | 0 | 1 | 0 | 0 | Married | 18041 | 21 | ||||||
| 3 | Female | 2886 | 0 | 1 | 0 | 0 | 0 | Divorced | 2886 | 3 | ||||||
| 3 | Male | 2097 | 0 | 1 | 0 | 0 | 1 | Married | 2097 | 9 | ||||||
| 4 | Male | 11935 | 0 | 0 | 1 | 0 | 1 | Married | 11935 | 10 | ||||||
| 5 | Female | 2546 | 0 | 0 | 0 | 1 | 0 | Married | 2546 | 6 | ||||||
| 2 | Male | 2564 | 1 | 0 | 0 | 0 | 1 | Single | 2564 | 1 | ||||||
| 4 | Female | 8412 | 0 | 0 | 1 | 0 | 0 | Married | 8412 | 10 | ||||||
| 3 | Male | 14118 | 0 | 1 | 0 | 0 | 1 | Divorced | 14118 | 32 | ||||||
| 4 | Male | 17046 | 0 | 0 | 1 | 0 | 1 | Married | 17046 | 28 | ||||||
| 3 | Female | 2564 | 0 | 1 | 0 | 0 | 0 | Single | 2564 | 12 | ||||||
| 3 | Female | 10266 | 0 | 1 | 0 | 0 | 0 | Married | 10266 | 22 | ||||||
| 2 | Female | 5070 | 1 | 0 | 0 | 0 | 0 | Divorced | 5070 | 20 | ||||||
| 3 | Male | 17861 | 0 | 1 | 0 | 0 | 1 | Married | 17861 | 26 | ||||||
| 3 | Male | 4230 | 0 | 1 | 0 | 0 | 1 | Single | 4230 | 6 | ||||||
| 4 | Female | 3780 | 0 | 0 | 1 | 0 | 0 | Single | 3780 | 19 | ||||||
| 4 | Male | 2768 | 0 | 0 | 1 | 0 | 1 | Divorced | 2768 | 14 | ||||||
| 3 | Female | 9071 | 0 | 1 | 0 | 0 | 0 | Married | 9071 | 15 | ||||||
| 1 | Male | 10648 | 0 | 0 | 0 | 0 | 1 | Divorced | 10648 | 13 | ||||||
| 1 | Male | 13610 | 0 | 0 | 0 | 0 | 1 | Married | 13610 | 15 | ||||||
| 1 | Male | 3408 | 0 | 0 | 0 | 0 | 1 | Divorced | 3408 | 8 | ||||||
| 1 | Male | 2983 | 0 | 0 | 0 | 0 | 1 | Single | 2983 | 4 | ||||||
| 3 | Male | 7632 | 0 | 1 | 0 | 0 | 1 | Married | 7632 | 10 | ||||||
| 3 | Male | 9824 | 0 | 1 | 0 | 0 | 1 | Married | 9824 | 12 | ||||||
| 3 | Female | 9950 | 0 | 1 | 0 | 0 | 0 | Divorced | 9950 | 11 | ||||||
| 2 | Male | 2093 | 1 | 0 | 0 | 0 | 1 | Married | 2093 | 8 | ||||||
| 4 | Male | 9980 | 0 | 0 | 1 | 0 | 1 | Single | 9980 | 10 | ||||||
| 1 | Male | 3894 | 0 | 0 | 0 | 0 | 1 | Single | 3894 | 4 | ||||||
| 5 | Female | 4051 | 0 | 0 | 0 | 1 | 0 | Married | 4051 | 14 | ||||||
| 5 | Female | 16835 | 0 | 0 | 0 | 1 | 0 | Single | 16835 | 37 | ||||||
| 2 | Male | 6230 | 1 | 0 | 0 | 0 | 1 | Single | 6230 | 16 | ||||||
| 3 | Male | 4717 | 0 | 1 | 0 | 0 | 1 | Married | 4717 | 15 | ||||||
| 3 | Female | 13237 | 0 | 1 | 0 | 0 | 0 | Single | 13237 | 22 | ||||||
| 1 | Female | 3755 | 0 | 0 | 0 | 0 | 0 | Married | 3755 | 8 | ||||||
| 1 | Male | 6582 | 0 | 0 | 0 | 0 | 1 | Single | 6582 | 10 | ||||||
| 3 | Male | 7406 | 0 | 1 | 0 | 0 | 1 | Married | 7406 | 10 | ||||||
| 3 | Male | 4805 | 0 | 1 | 0 | 0 | 1 | Married | 4805 | 9 | ||||||
| 4 | Female | 2741 | 0 | 0 | 1 | 0 | 0 | Divorced | 2741 | 8 | ||||||
| 3 | Male | 4262 | 0 | 1 | 0 | 0 | 1 | Divorced | 4262 | 8 | ||||||
| 5 | Female | 16184 | 0 | 0 | 0 | 1 | 0 | Divorced | 16184 | 10 | ||||||
| 3 | Male | 11557 | 0 | 1 | 0 | 0 | 1 | Divorced | 11557 | 10 | ||||||
| 3 | Male | 1878 | 0 | 1 | 0 | 0 | 1 | Single | 1878 | 0 | ||||||
| 3 | Male | 10932 | 0 | 1 | 0 | 0 | 1 | Divorced | 10932 | 20 | ||||||
| 4 | Female | 6811 | 0 | 0 | 1 | 0 | 0 | Single | 6811 | 10 | ||||||
| 2 | Male | 4306 | 1 | 0 | 0 | 0 | 1 | Divorced | 4306 | 8 | ||||||
| 3 | Female | 4859 | 0 | 1 | 0 | 0 | 0 | Single | 4859 | 5 | ||||||
| 4 | Male | 5337 | 0 | 0 | 1 | 0 | 1 | Single | 5337 | 10 | ||||||
| 3 | Male | 2340 | 0 | 1 | 0 | 0 | 1 | Single | 2340 | 1 | ||||||
| 3 | Female | 7491 | 0 | 1 | 0 | 0 | 0 | Single | 7491 | 12 | ||||||
| 1 | Female | 10527 | 0 | 0 | 0 | 0 | 0 | Married | 10527 | 28 | ||||||
| 5 | Female | 16595 | 0 | 0 | 0 | 1 | 0 | Married | 16595 | 22 | ||||||
| 4 | Male | 8834 | 0 | 0 | 1 | 0 | 1 | Divorced | 8834 | 9 | ||||||
| 2 | Male | 5577 | 1 | 0 | 0 | 0 | 1 | Divorced | 5577 | 18 | ||||||
| 4 | Male | 4707 | 0 | 0 | 1 | 0 | 1 | Married | 4707 | 6 | ||||||
| 3 | Male | 2400 | 0 | 1 | 0 | 0 | 1 | Married | 2400 | 3 | ||||||
| 3 | Female | 9824 | 0 | 1 | 0 | 0 | 0 | Married | 9824 | 18 | ||||||
| 4 | Female | 6447 | 0 | 0 | 1 | 0 | 0 | Married | 6447 | 8 | ||||||
| 4 | Male | 19502 | 0 | 0 | 1 | 0 | 1 | Divorced | 19502 | 31 | ||||||
| 3 | Male | 2725 | 0 | 1 | 0 | 0 | 1 | Married | 2725 | 6 | ||||||
| 2 | Male | 6272 | 1 | 0 | 0 | 0 | 1 | Married | 6272 | 6 | ||||||
| 2 | Male | 2127 | 1 | 0 | 0 | 0 | 1 | Married | 2127 | 1 | ||||||
| 3 | Male | 18200 | 0 | 1 | 0 | 0 | 1 | Married | 18200 | 32 | ||||||
| 1 | Male | 2096 | 0 | 0 | 0 | 0 | 1 | Married | 2096 | 7 | ||||||
| 3 | Female | 2886 | 0 | 1 | 0 | 0 | 0 | Married | 2886 | 6 | ||||||
| 4 | Male | 2033 | 0 | 0 | 1 | 0 | 1 | Married | 2033 | 1 | ||||||
| 2 | Male | 3622 | 1 | 0 | 0 | 0 | 1 | Married | 3622 | 6 | ||||||
| 4 | Male | 4233 | 0 | 0 | 1 | 0 | 1 | Divorced | 4233 | 9 | ||||||
| 2 | Male | 3681 | 1 | 0 | 0 | 0 | 1 | Single | 3681 | 9 | ||||||
| 4 | Male | 5460 | 0 | 0 | 1 | 0 | 1 | Divorced | 5460 | 13 | ||||||
| 4 | Female | 2187 | 0 | 0 | 1 | 0 | 0 | Divorced | 2187 | 6 | ||||||
| 3 | Male | 9602 | 0 | 1 | 0 | 0 | 1 | Married | 9602 | 17 | ||||||
| 3 | Female | 2836 | 0 | 1 | 0 | 0 | 0 | Single | 2836 | 1 | ||||||
| 4 | Female | 4089 | 0 | 0 | 1 | 0 | 0 | Married | 4089 | 10 | ||||||
| 4 | Male | 16627 | 0 | 0 | 1 | 0 | 1 | Divorced | 16627 | 21 | ||||||
| 1 | Female | 2619 | 0 | 0 | 0 | 0 | 0 | Single | 2619 | 8 | ||||||
| 5 | Male | 5679 | 0 | 0 | 0 | 1 | 1 | Divorced | 5679 | 10 | ||||||
| 4 | Female | 15402 | 0 | 0 | 1 | 0 | 0 | Married | 15402 | 21 | ||||||
| 4 | Female | 5985 | 0 | 0 | 1 | 0 | 0 | Single | 5985 | 10 | ||||||
| 3 | Female | 2579 | 0 | 1 | 0 | 0 | 0 | Divorced | 2579 | 8 | ||||||
| 1 | Male | 3041 | 0 | 0 | 0 | 0 | 1 | Divorced | 3041 | 5 | ||||||
| 1 | Male | 3447 | 0 | 0 | 0 | 0 | 1 | Single | 3447 | 3 | ||||||
| 4 | Male | 19513 | 0 | 0 | 1 | 0 | 1 | Married | 19513 | 26 | ||||||
| 1 | Male | 2773 | 0 | 0 | 0 | 0 | 1 | Married | 2773 | 3 | ||||||
| 4 | Male | 7104 | 0 | 0 | 1 | 0 | 1 | Divorced | 7104 | 6 | ||||||
| 4 | Female | 6322 | 0 | 0 | 1 | 0 | 0 | Married | 6322 | 6 | ||||||
| 3 | Female | 2083 | 0 | 1 | 0 | 0 | 0 | Divorced | 2083 | 1 | ||||||
| 1 | Female | 8381 | 0 | 0 | 0 | 0 | 0 | Single | 8381 | 18 | ||||||
| 5 | Male | 2691 | 0 | 0 | 0 | 1 | 1 | Married | 2691 | 10 | ||||||
| 4 | Female | 4286 | 0 | 0 | 1 | 0 | 0 | Married | 4286 | 5 | ||||||
| 3 | Female | 2659 | 0 | 1 | 0 | 0 | 0 | Married | 2659 | 3 | ||||||
| 3 | Male | 9434 | 0 | 1 | 0 | 0 | 1 | Married | 9434 | 10 | ||||||
| 2 | Female | 5561 | 1 | 0 | 0 | 0 | 0 | Married | 5561 | 6 | ||||||
| 4 | Male | 6646 | 0 | 0 | 1 | 0 | 1 | Single | 6646 | 17 | ||||||
| 3 | Male | 7725 | 0 | 1 | 0 | 0 | 1 | Divorced | 7725 | 15 | ||||||
| 4 | Male | 10725 | 0 | 0 | 1 | 0 | 1 | Married | 10725 | 16 | ||||||
| 2 | Male | 8847 | 1 | 0 | 0 | 0 | 1 | Divorced | 8847 | 13 | ||||||
| 4 | Male | 2045 | 0 | 0 | 1 | 0 | 1 | Single | 2045 | 5 | ||||||
| 1 | Male | 1009 | 0 | 0 | 0 | 0 | 1 | Single | 1009 | 1 | ||||||
| 3 | Male | 3348 | 0 | 1 | 0 | 0 | 1 | Single | 3348 | 10 | ||||||
| 3 | Male | 1281 | 0 | 1 | 0 | 0 | 1 | Married | 1281 | 1 | ||||||
| 3 | Male | 2819 | 0 | 1 | 0 | 0 | 1 | Married | 2819 | 5 | ||||||
| 3 | Male | 4851 | 0 | 1 | 0 | 0 | 1 | Married | 4851 | 4 | ||||||
| 4 | Female | 4028 | 0 | 0 | 1 | 0 | 0 | Single | 4028 | 8 | ||||||
| 4 | Male | 2720 | 0 | 0 | 1 | 0 | 1 | Divorced | 2720 | 10 | ||||||
| 1 | Male | 8120 | 0 | 0 | 0 | 0 | 1 | Married | 8120 | 12 | ||||||
| 1 | Female | 4647 | 0 | 0 | 0 | 0 | 0 | Divorced | 4647 | 6 | ||||||
| 2 | Male | 4680 | 1 | 0 | 0 | 0 | 1 | Single | 4680 | 4 | ||||||
| 1 | Male | 3221 | 0 | 0 | 0 | 0 | 1 | Married | 3221 | 20 | ||||||
| 3 | Female | 8621 | 0 | 1 | 0 | 0 | 0 | Single | 8621 | 9 | ||||||
| 2 | Female | 4577 | 1 | 0 | 0 | 0 | 0 | Single | 4577 | 4 | ||||||
| 4 | Female | 4553 | 0 | 0 | 1 | 0 | 0 | Single | 4553 | 20 | ||||||
| 3 | Male | 5396 | 0 | 1 | 0 | 0 | 1 | Single | 5396 | 10 | ||||||
| 2 | Male | 6796 | 1 | 0 | 0 | 0 | 1 | Married | 6796 | 18 | ||||||
| 4 | Female | 7625 | 0 | 0 | 1 | 0 | 0 | Single | 7625 | 10 | ||||||
| 2 | Female | 7412 | 1 | 0 | 0 | 0 | 0 | Married | 7412 | 9 | ||||||
| 2 | Female | 11159 | 1 | 0 | 0 | 0 | 0 | Single | 11159 | 10 | ||||||
| 4 | Male | 4960 | 0 | 0 | 1 | 0 | 1 | Single | 4960 | 20 | ||||||
| 4 | Male | 10475 | 0 | 0 | 1 | 0 | 1 | Married | 10475 | 20 | ||||||
| 3 | Male | 14814 | 0 | 1 | 0 | 0 | 1 | Married | 14814 | 32 | ||||||
| 4 | Male | 19141 | 0 | 0 | 1 | 0 | 1 | Divorced | 19141 | 23 | ||||||
| 4 | Male | 5405 | 0 | 0 | 1 | 0 | 1 | Single | 5405 | 10 | ||||||
| 2 | Male | 8793 | 1 | 0 | 0 | 0 | 1 | Divorced | 8793 | 9 | ||||||
| 3 | Male | 19189 | 0 | 1 | 0 | 0 | 1 | Married | 19189 | 22 | ||||||
| 4 | Male | 3875 | 0 | 0 | 1 | 0 | 1 | Married | 3875 | 4 | ||||||
| 2 | Female | 2216 | 1 | 0 | 0 | 0 | 0 | Single | 2216 | 10 | ||||||
| 3 | Female | 11713 | 0 | 1 | 0 | 0 | 0 | Married | 11713 | 10 | ||||||
| 3 | Female | 7861 | 0 | 1 | 0 | 0 | 0 | Single | 7861 | 10 | ||||||
| 3 | Male | 3708 | 0 | 1 | 0 | 0 | 1 | Single | 3708 | 9 | ||||||
| 3 | Female | 13770 | 0 | 1 | 0 | 0 | 0 | Divorced | 13770 | 28 | ||||||
| 5 | Male | 5304 | 0 | 0 | 0 | 1 | 1 | Divorced | 5304 | 10 | ||||||
| 3 | Male | 2642 | 0 | 1 | 0 | 0 | 1 | Single | 2642 | 1 | ||||||
| 3 | Male | 2759 | 0 | 1 | 0 | 0 | 1 | Divorced | 2759 | 7 | ||||||
| 3 | Male | 6804 | 0 | 1 | 0 | 0 | 1 | Married | 6804 | 7 | ||||||
| 2 | Female | 6142 | 1 | 0 | 0 | 0 | 0 | Single | 6142 | 10 | ||||||
| 1 | Male | 2500 | 0 | 0 | 0 | 0 | 1 | Married | 2500 | 5 | ||||||
| 3 | Female | 6389 | 0 | 1 | 0 | 0 | 0 | Married | 6389 | 12 | ||||||
| 3 | Male | 11103 | 0 | 1 | 0 | 0 | 1 | Married | 11103 | 30 | ||||||
| 1 | Female | 2342 | 0 | 0 | 0 | 0 | 0 | Single | 2342 | 5 | ||||||
| 3 | Female | 6811 | 0 | 1 | 0 | 0 | 0 | Single | 6811 | 9 | ||||||
| 3 | Male | 2297 | 0 | 1 | 0 | 0 | 1 | Divorced | 2297 | 2 | ||||||
| 3 | Male | 2450 | 0 | 1 | 0 | 0 | 1 | Single | 2450 | 19 | ||||||
| 4 | Female | 5093 | 0 | 0 | 1 | 0 | 0 | Divorced | 5093 | 16 | ||||||
| 4 | Male | 5309 | 0 | 0 | 1 | 0 | 1 | Married | 5309 | 10 | ||||||
| 5 | Male | 3057 | 0 | 0 | 0 | 1 | 1 | Married | 3057 | 6 | ||||||
| 5 | Female | 5121 | 0 | 0 | 0 | 1 | 0 | Divorced | 5121 | 7 | ||||||
| 4 | Male | 16856 | 0 | 0 | 1 | 0 | 1 | Married | 16856 | 34 | ||||||
| 4 | Male | 2686 | 0 | 0 | 1 | 0 | 1 | Single | 2686 | 10 | ||||||
| 1 | Female | 6180 | 0 | 0 | 0 | 0 | 0 | Single | 6180 | 6 | ||||||
| 2 | Male | 6632 | 1 | 0 | 0 | 0 | 1 | Single | 6632 | 9 | ||||||
| 1 | Male | 3505 | 0 | 0 | 0 | 0 | 1 | Single | 3505 | 2 | ||||||
| 2 | Female | 6397 | 1 | 0 | 0 | 0 | 0 | Single | 6397 | 8 | ||||||
| 3 | Male | 6274 | 0 | 1 | 0 | 0 | 1 | Single | 6274 | 6 | ||||||
| 3 | Male | 19859 | 0 | 1 | 0 | 0 | 1 | Married | 19859 | 24 | ||||||
| 4 | Male | 7587 | 0 | 0 | 1 | 0 | 1 | Single | 7587 | 10 | ||||||
| 4 | Male | 4258 | 0 | 0 | 1 | 0 | 1 | Married | 4258 | 5 | ||||||
| 2 | Female | 4364 | 1 | 0 | 0 | 0 | 0 | Divorced | 4364 | 5 | ||||||
| 3 | Female | 4335 | 0 | 1 | 0 | 0 | 0 | Married | 4335 | 11 | ||||||
| 3 | Male | 5326 | 0 | 1 | 0 | 0 | 1 | Single | 5326 | 6 | ||||||
| 4 | Female | 3280 | 0 | 0 | 1 | 0 | 0 | Single | 3280 | 10 | ||||||
| 4 | Female | 5485 | 0 | 0 | 1 | 0 | 0 | Divorced | 5485 | 9 | ||||||
| 1 | Male | 4342 | 0 | 0 | 0 | 0 | 1 | Married | 4342 | 5 | ||||||
| 1 | Female | 2782 | 0 | 0 | 0 | 0 | 0 | Divorced | 2782 | 6 | ||||||
| 4 | Female | 5980 | 0 | 0 | 1 | 0 | 0 | Single | 5980 | 17 | ||||||
| 4 | Female | 4381 | 0 | 0 | 1 | 0 | 0 | Single | 4381 | 6 | ||||||
| 4 | Female | 2572 | 0 | 0 | 1 | 0 | 0 | Married | 2572 | 3 | ||||||
| 3 | Male | 3833 | 0 | 1 | 0 | 0 | 1 | Married | 3833 | 7 | ||||||
| 2 | Female | 4244 | 1 | 0 | 0 | 0 | 0 | Married | 4244 | 8 | ||||||
| 2 | Female | 6500 | 1 | 0 | 0 | 0 | 0 | Married | 6500 | 6 | ||||||
| 3 | Male | 18430 | 0 | 1 | 0 | 0 | 1 | Divorced | 18430 | 24 | ||||||
| 3 | Male | 1601 | 0 | 1 | 0 | 0 | 1 | Married | 1601 | 1 | ||||||
| 3 | Male | 2694 | 0 | 1 | 0 | 0 | 1 | Divorced | 2694 | 1 | ||||||
| 4 | Female | 3149 | 0 | 0 | 1 | 0 | 0 | Married | 3149 | 9 | ||||||
| 3 | Male | 17639 | 0 | 1 | 0 | 0 | 1 | Married | 17639 | 30 | ||||||
| 2 | Female | 2319 | 1 | 0 | 0 | 0 | 0 | Married | 2319 | 1 | ||||||
| 3 | Male | 11691 | 0 | 1 | 0 | 0 | 1 | Married | 11691 | 14 | ||||||
| 3 | Female | 5324 | 0 | 1 | 0 | 0 | 0 | Single | 5324 | 6 | ||||||
| 2 | Female | 16752 | 1 | 0 | 0 | 0 | 0 | Married | 16752 | 26 | ||||||
| 3 | Female | 5228 | 0 | 1 | 0 | 0 | 0 | Married | 5228 | 10 | ||||||
| 2 | Male | 2700 | 1 | 0 | 0 | 0 | 1 | Married | 2700 | 10 | ||||||
| 4 | Male | 19246 | 0 | 0 | 1 | 0 | 1 | Single | 19246 | 40 | ||||||
| 4 | Female | 2506 | 0 | 0 | 1 | 0 | 0 | Single | 2506 | 7 | ||||||
| 2 | Female | 6062 | 1 | 0 | 0 | 0 | 0 | Married | 6062 | 8 | ||||||
| 4 | Male | 4382 | 0 | 0 | 1 | 0 | 1 | Single | 4382 | 5 | ||||||
| 3 | Male | 2143 | 0 | 1 | 0 | 0 | 1 | Married | 2143 | 8 | ||||||
| 3 | Female | 6162 | 0 | 1 | 0 | 0 | 0 | Married | 6162 | 14 | ||||||
| 4 | Male | 5094 | 0 | 0 | 1 | 0 | 1 | Single | 5094 | 10 | ||||||
| 3 | Female | 6877 | 0 | 1 | 0 | 0 | 0 | Single | 6877 | 12 | ||||||
| 3 | Female | 2274 | 0 | 1 | 0 | 0 | 0 | Single | 2274 | 1 | ||||||
| 3 | Male | 4434 | 0 | 1 | 0 | 0 | 1 | Married | 4434 | 10 | ||||||
| 3 | Male | 6288 | 0 | 1 | 0 | 0 | 1 | Divorced | 6288 | 13 | ||||||
| 4 | Female | 2553 | 0 | 0 | 1 | 0 | 0 | Single | 2553 | 6 | ||||||
| 3 | Female | 7654 | 0 | 1 | 0 | 0 | 0 | Married | 7654 | 9 | ||||||
| 1 | Male | 5160 | 0 | 0 | 0 | 0 | 1 | Single | 5160 | 12 | ||||||
| 2 | Male | 17159 | 1 | 0 | 0 | 0 | 1 | Married | 17159 | 22 | ||||||
| 1 | Male | 12808 | 0 | 0 | 0 | 0 | 1 | Divorced | 12808 | 9 | ||||||
| 3 | Male | 10221 | 0 | 1 | 0 | 0 | 1 | Single | 10221 | 17 | ||||||
| 4 | Female | 4779 | 0 | 0 | 1 | 0 | 0 | Married | 4779 | 8 | ||||||
| 2 | Male | 3737 | 1 | 0 | 0 | 0 | 1 | Married | 3737 | 4 | ||||||
| 2 | Female | 2366 | 1 | 0 | 0 | 0 | 0 | Married | 2366 | 8 | ||||||
| 3 | Male | 1706 | 0 | 1 | 0 | 0 | 1 | Married | 1706 | 0 | ||||||
| 4 | Female | 16307 | 0 | 0 | 1 | 0 | 0 | Married | 16307 | 29 | ||||||
| 3 | Male | 5933 | 0 | 1 | 0 | 0 | 1 | Single | 5933 | 10 | ||||||
| 1 | Male | 3424 | 0 | 0 | 0 | 0 | 1 | Single | 3424 | 6 | ||||||
| 3 | Male | 4037 | 0 | 1 | 0 | 0 | 1 | Divorced | 4037 | 9 | ||||||
| 1 | Female | 2559 | 0 | 0 | 0 | 0 | 0 | Single | 2559 | 6 | ||||||
| 2 | Male | 6201 | 1 | 0 | 0 | 0 | 1 | Married | 6201 | 18 | ||||||
| 4 | Male | 4403 | 0 | 0 | 1 | 0 | 1 | Divorced | 4403 | 8 | ||||||
| 4 | Male | 3761 | 0 | 0 | 1 | 0 | 1 | Divorced | 3761 | 10 | ||||||
| 2 | Female | 10934 | 1 | 0 | 0 | 0 | 0 | Married | 10934 | 35 | ||||||
| 3 | Male | 10761 | 0 | 1 | 0 | 0 | 1 | Divorced | 10761 | 18 | ||||||
| 2 | Female | 5175 | 1 | 0 | 0 | 0 | 0 | Married | 5175 | 9 | ||||||
| 4 | Female | 13826 | 0 | 0 | 1 | 0 | 0 | Married | 13826 | 31 | ||||||
| 4 | Male | 6334 | 0 | 0 | 1 | 0 | 1 | Divorced | 6334 | 9 | ||||||
| 2 | Male | 4936 | 1 | 0 | 0 | 0 | 1 | Divorced | 4936 | 6 | ||||||
| 2 | Male | 4775 | 1 | 0 | 0 | 0 | 1 | Married | 4775 | 4 | ||||||
| 4 | Male | 2818 | 0 | 0 | 1 | 0 | 1 | Married | 2818 | 10 | ||||||
| 1 | Male | 2515 | 0 | 0 | 0 | 0 | 1 | Single | 2515 | 8 | ||||||
| 3 | Male | 2342 | 0 | 1 | 0 | 0 | 1 | Married | 2342 | 6 | ||||||
| 1 | Male | 4194 | 0 | 0 | 0 | 0 | 1 | Married | 4194 | 5 | ||||||
| 3 | Female | 10685 | 0 | 1 | 0 | 0 | 0 | Married | 10685 | 17 | ||||||
| 4 | Female | 2022 | 0 | 0 | 1 | 0 | 0 | Divorced | 2022 | 10 | ||||||
| 3 | Male | 2314 | 0 | 1 | 0 | 0 | 1 | Divorced | 2314 | 4 | ||||||
| 1 | Male | 4256 | 0 | 0 | 0 | 0 | 1 | Married | 4256 | 5 | ||||||
| 3 | Female | 3580 | 0 | 1 | 0 | 0 | 0 | Married | 3580 | 7 | ||||||
| 1 | Male | 3162 | 0 | 0 | 0 | 0 | 1 | Married | 3162 | 6 | ||||||
| 2 | Male | 6524 | 1 | 0 | 0 | 0 | 1 | Married | 6524 | 10 | ||||||
| 3 | Male | 2899 | 0 | 1 | 0 | 0 | 1 | Married | 2899 | 3 | ||||||
| 3 | Female | 5231 | 0 | 1 | 0 | 0 | 0 | Married | 5231 | 17 | ||||||
| 4 | Male | 2356 | 0 | 0 | 1 | 0 | 1 | Married | 2356 | 8 | ||||||
| 3 | Female | 2800 | 0 | 1 | 0 | 0 | 0 | Divorced | 2800 | 5 | ||||||
| 3 | Male | 11836 | 0 | 1 | 0 | 0 | 1 | Married | 11836 | 28 | ||||||
| 3 | Male | 10903 | 0 | 1 | 0 | 0 | 1 | Married | 10903 | 16 | ||||||
| 2 | Female | 2973 | 1 | 0 | 0 | 0 | 0 | Married | 2973 | 10 | ||||||
| 4 | Female | 14275 | 0 | 0 | 1 | 0 | 0 | Single | 14275 | 33 | ||||||
| 3 | Female | 5562 | 0 | 1 | 0 | 0 | 0 | Married | 5562 | 12 | ||||||
| 2 | Female | 4537 | 1 | 0 | 0 | 0 | 0 | Married | 4537 | 8 | ||||||
| 2 | Male | 7642 | 1 | 0 | 0 | 0 | 1 | Single | 7642 | 10 | ||||||
| 4 | Male | 17924 | 0 | 0 | 1 | 0 | 1 | Divorced | 17924 | 31 | ||||||
| 3 | Female | 5204 | 0 | 1 | 0 | 0 | 0 | Married | 5204 | 13 | ||||||
| 2 | Male | 2277 | 1 | 0 | 0 | 0 | 1 | Divorced | 2277 | 7 | ||||||
| 4 | Male | 2795 | 0 | 0 | 1 | 0 | 1 | Single | 2795 | 1 | ||||||
| 1 | Female | 2532 | 0 | 0 | 0 | 0 | 0 | Divorced | 2532 | 8 | ||||||
| 2 | Male | 2559 | 1 | 0 | 0 | 0 | 1 | Married | 2559 | 8 | ||||||
| 4 | Male | 4908 | 0 | 0 | 1 | 0 | 1 | Single | 4908 | 4 | ||||||
| 1 | Male | 2380 | 0 | 0 | 0 | 0 | 1 | Divorced | 2380 | 3 | ||||||
| 3 | Female | 4765 | 0 | 1 | 0 | 0 | 0 | Divorced | 4765 | 4 | ||||||
| 3 | Female | 2044 | 0 | 1 | 0 | 0 | 0 | Single | 2044 | 2 | ||||||
| 1 | Female | 2693 | 0 | 0 | 0 | 0 | 0 | Single | 2693 | 1 | ||||||
| 1 | Male | 6586 | 0 | 0 | 0 | 0 | 1 | Married | 6586 | 17 | ||||||
| 4 | Female | 3294 | 0 | 0 | 1 | 0 | 0 | Single | 3294 | 3 | ||||||
| 1 | Female | 4171 | 0 | 0 | 0 | 0 | 0 | Married | 4171 | 4 | ||||||
| 4 | Female | 2778 | 0 | 0 | 1 | 0 | 0 | Divorced | 2778 | 10 | ||||||
| 3 | Female | 2377 | 0 | 1 | 0 | 0 | 0 | Divorced | 2377 | 6 | ||||||
| 3 | Male | 2404 | 0 | 1 | 0 | 0 | 1 | Married | 2404 | 8 | ||||||
| 3 | Female | 2318 | 0 | 1 | 0 | 0 | 0 | Single | 2318 | 1 | ||||||
| 3 | Male | 2008 | 0 | 1 | 0 | 0 | 1 | Divorced | 2008 | 1 | ||||||
| 2 | Female | 6244 | 1 | 0 | 0 | 0 | 0 | Single | 6244 | 10 | ||||||
| 4 | Male | 2799 | 0 | 0 | 1 | 0 | 1 | Single | 2799 | 6 | ||||||
| 3 | Female | 10552 | 0 | 1 | 0 | 0 | 0 | Divorced | 10552 | 24 | ||||||
| 4 | Male | 2329 | 0 | 0 | 1 | 0 | 1 | Married | 2329 | 13 | ||||||
| 1 | Female | 4014 | 0 | 0 | 0 | 0 | 0 | Married | 4014 | 10 | ||||||
| 2 | Female | 7403 | 1 | 0 | 0 | 0 | 0 | Married | 7403 | 29 | ||||||
| 4 | Male | 2259 | 0 | 0 | 1 | 0 | 1 | Married | 2259 | 13 | ||||||
| 2 | Female | 6932 | 1 | 0 | 0 | 0 | 0 | Married | 6932 | 9 | ||||||
| 4 | Male | 4678 | 0 | 0 | 1 | 0 | 1 | Single | 4678 | 8 | ||||||
| 3 | Female | 13582 | 0 | 1 | 0 | 0 | 0 | Married | 13582 | 15 | ||||||
| 3 | Female | 2332 | 0 | 1 | 0 | 0 | 0 | Married | 2332 | 5 | ||||||
| 2 | Male | 2413 | 1 | 0 | 0 | 0 | 1 | Married | 2413 | 1 | ||||||
| 4 | Male | 9705 | 0 | 0 | 1 | 0 | 1 | Divorced | 9705 | 11 | ||||||
| 3 | Male | 4294 | 0 | 1 | 0 | 0 | 1 | Single | 4294 | 7 | ||||||
| 3 | Male | 4721 | 0 | 1 | 0 | 0 | 1 | Single | 4721 | 20 | ||||||
| 4 | Male | 2519 | 0 | 0 | 1 | 0 | 1 | Single | 2519 | 16 | ||||||
| 3 | Male | 2121 | 0 | 1 | 0 | 0 | 1 | Single | 2121 | 1 | ||||||
| 3 | Male | 2973 | 0 | 1 | 0 | 0 | 1 | Single | 2973 | 1 | ||||||
| 3 | Female | 5855 | 0 | 1 | 0 | 0 | 0 | Married | 5855 | 10 | ||||||
| 4 | Male | 3617 | 0 | 0 | 1 | 0 | 1 | Divorced | 3617 | 3 | ||||||
| 4 | Female | 6725 | 0 | 0 | 1 | 0 | 0 | Married | 6725 | 8 | ||||||
| 1 | Male | 10325 | 0 | 0 | 0 | 0 | 1 | Married | 10325 | 16 | ||||||
| 3 | Female | 6949 | 0 | 1 | 0 | 0 | 0 | Single | 6949 | 6 | ||||||
| 4 | Male | 10609 | 0 | 0 | 1 | 0 | 1 | Married | 10609 | 17 | ||||||
| 2 | Male | 4447 | 1 | 0 | 0 | 0 | 1 | Married | 4447 | 9 | ||||||
| 3 | Female | 2157 | 0 | 1 | 0 | 0 | 0 | Married | 2157 | 3 | ||||||
| 3 | Female | 4601 | 0 | 1 | 0 | 0 | 0 | Married | 4601 | 5 | ||||||
| 2 | Male | 17099 | 1 | 0 | 0 | 0 | 1 | Married | 17099 | 26 | ||||||
| 3 | Male | 2479 | 0 | 1 | 0 | 0 | 1 | Single | 2479 | 7 | ||||||
| 2 | Male | 14852 | 1 | 0 | 0 | 0 | 1 | Divorced | 14852 | 22 | ||||||
| 2 | Male | 7264 | 1 | 0 | 0 | 0 | 1 | Divorced | 7264 | 10 | ||||||
| 3 | Female | 5666 | 0 | 1 | 0 | 0 | 0 | Single | 5666 | 6 | ||||||
| 4 | Male | 7823 | 0 | 0 | 1 | 0 | 1 | Divorced | 7823 | 12 | ||||||
| 5 | Male | 7880 | 0 | 0 | 0 | 1 | 1 | Single | 7880 | 9 | ||||||
| 3 | Female | 13194 | 0 | 1 | 0 | 0 | 0 | Single | 13194 | 22 | ||||||
| 4 | Male | 5067 | 0 | 0 | 1 | 0 | 1 | Divorced | 5067 | 20 | ||||||
| 4 | Male | 5079 | 0 | 0 | 1 | 0 | 1 | Divorced | 5079 | 12 | ||||||
| 2 | Male | 2321 | 1 | 0 | 0 | 0 | 1 | Single | 2321 | 4 | ||||||
| 3 | Male | 17444 | 0 | 1 | 0 | 0 | 1 | Single | 17444 | 10 | ||||||
| 3 | Female | 2404 | 0 | 1 | 0 | 0 | 0 | Single | 2404 | 3 | ||||||
| 1 | Female | 3452 | 0 | 0 | 0 | 0 | 0 | Single | 3452 | 5 | ||||||
| 4 | Female | 2270 | 0 | 0 | 1 | 0 | 0 | Divorced | 2270 | 8 | ||||||
| 2 | Male | 17399 | 1 | 0 | 0 | 0 | 1 | Divorced | 17399 | 32 | ||||||
| 4 | Female | 5488 | 0 | 0 | 1 | 0 | 0 | Married | 5488 | 6 | ||||||
| 3 | Male | 19419 | 0 | 1 | 0 | 0 | 1 | Divorced | 19419 | 21 | ||||||
| 4 | Female | 2811 | 0 | 0 | 1 | 0 | 0 | Married | 2811 | 4 | ||||||
| 2 | Male | 3633 | 1 | 0 | 0 | 0 | 1 | Married | 3633 | 9 | ||||||
| 2 | Female | 4163 | 1 | 0 | 0 | 0 | 0 | Single | 4163 | 9 | ||||||
| 3 | Female | 2132 | 0 | 1 | 0 | 0 | 0 | Married | 2132 | 7 | ||||||
| 3 | Male | 13973 | 0 | 1 | 0 | 0 | 1 | Married | 13973 | 22 | ||||||
| 1 | Male | 2684 | 0 | 0 | 0 | 0 | 1 | Married | 2684 | 3 | ||||||
| 2 | Male | 10845 | 1 | 0 | 0 | 0 | 1 | Divorced | 10845 | 13 | ||||||
| 1 | Female | 4377 | 0 | 0 | 0 | 0 | 0 | Divorced | 4377 | 5 | ||||||
| 4 | Male | 3743 | 0 | 0 | 1 | 0 | 1 | Divorced | 3743 | 5 | ||||||
| 1 | Female | 4148 | 0 | 0 | 0 | 0 | 0 | Married | 4148 | 4 | ||||||
| 2 | Male | 1051 | 1 | 0 | 0 | 0 | 1 | Single | 1051 | 0 | ||||||
| 3 | Female | 10739 | 0 | 1 | 0 | 0 | 0 | Married | 10739 | 22 | ||||||
| 4 | Female | 10388 | 0 | 0 | 1 | 0 | 0 | Divorced | 10388 | 16 | ||||||
| 2 | Female | 11416 | 1 | 0 | 0 | 0 | 0 | Married | 11416 | 9 | ||||||
| 3 | Female | 2600 | 0 | 1 | 0 | 0 | 0 | Single | 2600 | 1 | ||||||
| 3 | Female | 2422 | 0 | 1 | 0 | 0 | 0 | Single | 2422 | 4 | ||||||
| 2 | Male | 5472 | 1 | 0 | 0 | 0 | 1 | Married | 5472 | 8 | ||||||
| 1 | Male | 2451 | 0 | 0 | 0 | 0 | 1 | Married | 2451 | 4 | ||||||
| 3 | Male | 4240 | 0 | 1 | 0 | 0 | 1 | Single | 4240 | 19 | ||||||
| 4 | Male | 10999 | 0 | 0 | 1 | 0 | 1 | Single | 10999 | 27 | ||||||
| 2 | Female | 5003 | 1 | 0 | 0 | 0 | 0 | Single | 5003 | 8 | ||||||
| 1 | Female | 12742 | 0 | 0 | 0 | 0 | 0 | Married | 12742 | 21 | ||||||
| 4 | Female | 4227 | 0 | 0 | 1 | 0 | 0 | Married | 4227 | 4 | ||||||
| 3 | Male | 3917 | 0 | 1 | 0 | 0 | 1 | Divorced | 3917 | 3 | ||||||
| 2 | Male | 18303 | 1 | 0 | 0 | 0 | 1 | Married | 18303 | 21 | ||||||
| 3 | Male | 2380 | 0 | 1 | 0 | 0 | 1 | Married | 2380 | 8 | ||||||
| 3 | Female | 13726 | 0 | 1 | 0 | 0 | 0 | Single | 13726 | 30 | ||||||
| 2 | Female | 4777 | 1 | 0 | 0 | 0 | 0 | Married | 4777 | 15 | ||||||
| 4 | Male | 6385 | 0 | 0 | 1 | 0 | 1 | Married | 6385 | 17 | ||||||
| 1 | Female | 19973 | 0 | 0 | 0 | 0 | 0 | Divorced | 19973 | 21 | ||||||
| 4 | Male | 6861 | 0 | 0 | 1 | 0 | 1 | Single | 6861 | 19 | ||||||
| 2 | Male | 4969 | 1 | 0 | 0 | 0 | 1 | Single | 4969 | 7 | ||||||
| 1 | Female | 19845 | 0 | 0 | 0 | 0 | 0 | Married | 19845 | 33 | ||||||
| 3 | Female | 13320 | 0 | 1 | 0 | 0 | 0 | Married | 13320 | 23 | ||||||
| 3 | Female | 6347 | 0 | 1 | 0 | 0 | 0 | Married | 6347 | 19 | ||||||
| 4 | Female | 2743 | 0 | 0 | 1 | 0 | 0 | Single | 2743 | 18 | ||||||
| 3 | Female | 10880 | 0 | 1 | 0 | 0 | 0 | Single | 10880 | 21 | ||||||
| 1 | Female | 2342 | 0 | 0 | 0 | 0 | 0 | Single | 2342 | 3 | ||||||
| 2 | Female | 17650 | 1 | 0 | 0 | 0 | 0 | Married | 17650 | 26 | ||||||
| 4 | Female | 4025 | 0 | 0 | 1 | 0 | 0 | Single | 4025 | 10 | ||||||
| 4 | Male | 9725 | 0 | 0 | 1 | 0 | 1 | Divorced | 9725 | 16 | ||||||
| 2 | Male | 11904 | 1 | 0 | 0 | 0 | 1 | Married | 11904 | 14 | ||||||
| 4 | Male | 2177 | 0 | 0 | 1 | 0 | 1 | Single | 2177 | 6 | ||||||
| 3 | Female | 7525 | 0 | 1 | 0 | 0 | 0 | Married | 7525 | 30 | ||||||
| 3 | Male | 4834 | 0 | 1 | 0 | 0 | 1 | Divorced | 4834 | 9 | ||||||
| 3 | Male | 2042 | 0 | 1 | 0 | 0 | 1 | Married | 2042 | 6 | ||||||
| 4 | Female | 2220 | 0 | 0 | 1 | 0 | 0 | Married | 2220 | 1 | ||||||
| 1 | Male | 1052 | 0 | 0 | 0 | 0 | 1 | Married | 1052 | 1 | ||||||
| 4 | Male | 2821 | 0 | 0 | 1 | 0 | 1 | Married | 2821 | 8 | ||||||
| 4 | Male | 19237 | 0 | 0 | 1 | 0 | 1 | Married | 19237 | 29 | ||||||
| 3 | Female | 4107 | 0 | 1 | 0 | 0 | 0 | Single | 4107 | 8 | ||||||
| 3 | Male | 8396 | 0 | 1 | 0 | 0 | 1 | Married | 8396 | 8 | ||||||
| 1 | Female | 2007 | 0 | 0 | 0 | 0 | 0 | Divorced | 2007 | 5 | ||||||
| 4 | Male | 19627 | 0 | 0 | 1 | 0 | 1 | Divorced | 19627 | 23 | ||||||
| 4 | Female | 10686 | 0 | 0 | 1 | 0 | 0 | Married | 10686 | 13 | ||||||
| 3 | Female | 2942 | 0 | 1 | 0 | 0 | 0 | Married | 2942 | 18 | ||||||
| 5 | Female | 8858 | 0 | 0 | 0 | 1 | 0 | Single | 8858 | 15 | ||||||
| 1 | Male | 16756 | 0 | 0 | 0 | 0 | 1 | Single | 16756 | 31 | ||||||
| 3 | Male | 10798 | 0 | 1 | 0 | 0 | 1 | Divorced | 10798 | 18 | ||||||
| 3 | Female | 2323 | 0 | 1 | 0 | 0 | 0 | Single | 2323 | 2 | ||||||
| 3 | Female | 1416 | 0 | 1 | 0 | 0 | 0 | Single | 1416 | 1 | ||||||
| 4 | Female | 4615 | 0 | 0 | 1 | 0 | 0 | Divorced | 4615 | 19 | ||||||
| 4 | Male | 2461 | 0 | 0 | 1 | 0 | 1 | Married | 2461 | 18 | ||||||
| 2 | Male | 8722 | 1 | 0 | 0 | 0 | 1 | Single | 8722 | 10 | ||||||
| 2 | Male | 3955 | 1 | 0 | 0 | 0 | 1 | Married | 3955 | 6 | ||||||
| 3 | Male | 9957 | 0 | 1 | 0 | 0 | 1 | Married | 9957 | 7 | ||||||
| 2 | Female | 3376 | 1 | 0 | 0 | 0 | 0 | Married | 3376 | 10 | ||||||
| 1 | Female | 8823 | 0 | 0 | 0 | 0 | 0 | Married | 8823 | 20 | ||||||
| 4 | Male | 10322 | 0 | 0 | 1 | 0 | 1 | Married | 10322 | 14 | ||||||
| 5 | Male | 4621 | 0 | 0 | 0 | 1 | 1 | Married | 4621 | 3 | ||||||
| 1 | Male | 10976 | 0 | 0 | 0 | 0 | 1 | Married | 10976 | 23 | ||||||
| 3 | Female | 3660 | 0 | 1 | 0 | 0 | 0 | Single | 3660 | 10 | ||||||
| 2 | Male | 10482 | 1 | 0 | 0 | 0 | 1 | Married | 10482 | 24 | ||||||
| 3 | Male | 7119 | 0 | 1 | 0 | 0 | 1 | Divorced | 7119 | 9 | ||||||
| 3 | Male | 9582 | 0 | 1 | 0 | 0 | 1 | Single | 9582 | 9 | ||||||
| 4 | Female | 4508 | 0 | 0 | 1 | 0 | 0 | Single | 4508 | 14 | ||||||
| 2 | Male | 2207 | 1 | 0 | 0 | 0 | 1 | Divorced | 2207 | 4 | ||||||
| 1 | Male | 7756 | 0 | 0 | 0 | 0 | 1 | Single | 7756 | 7 | ||||||
| 4 | Female | 6694 | 0 | 0 | 1 | 0 | 0 | Divorced | 6694 | 8 | ||||||
| 1 | Male | 3691 | 0 | 0 | 0 | 0 | 1 | Married | 3691 | 7 | ||||||
| 3 | Male | 2377 | 0 | 1 | 0 | 0 | 1 | Divorced | 2377 | 1 | ||||||
| 3 | Male | 2313 | 0 | 1 | 0 | 0 | 1 | Single | 2313 | 5 | ||||||
| 2 | Male | 17665 | 1 | 0 | 0 | 0 | 1 | Married | 17665 | 23 | ||||||
| 3 | Male | 2596 | 0 | 1 | 0 | 0 | 1 | Divorced | 2596 | 1 | ||||||
| 4 | Male | 4728 | 0 | 0 | 1 | 0 | 1 | Single | 4728 | 5 | ||||||
| 3 | Female | 4302 | 0 | 1 | 0 | 0 | 0 | Married | 4302 | 4 | ||||||
| 4 | Male | 2979 | 0 | 0 | 1 | 0 | 1 | Married | 2979 | 6 | ||||||
| 4 | Male | 16885 | 0 | 0 | 1 | 0 | 1 | Single | 16885 | 27 | ||||||
| 4 | Female | 5593 | 0 | 0 | 1 | 0 | 0 | Married | 5593 | 15 | ||||||
| 4 | Male | 10445 | 0 | 0 | 1 | 0 | 1 | Single | 10445 | 18 | ||||||
| 4 | Male | 8740 | 0 | 0 | 1 | 0 | 1 | Divorced | 8740 | 9 | ||||||
| 4 | Female | 2514 | 0 | 0 | 1 | 0 | 0 | Divorced | 2514 | 11 | ||||||
| 3 | Female | 7655 | 0 | 1 | 0 | 0 | 0 | Divorced | 7655 | 10 | ||||||
| 1 | Male | 17465 | 0 | 0 | 0 | 0 | 1 | Married | 17465 | 23 | ||||||
| 2 | Male | 7351 | 1 | 0 | 0 | 0 | 1 | Single | 7351 | 10 | ||||||
| 3 | Female | 10820 | 0 | 1 | 0 | 0 | 0 | Married | 10820 | 18 | ||||||
| 3 | Male | 12169 | 0 | 1 | 0 | 0 | 1 | Divorced | 12169 | 21 | ||||||
| 3 | Male | 19626 | 0 | 1 | 0 | 0 | 1 | Single | 19626 | 21 | ||||||
| 1 | Female | 2070 | 0 | 0 | 0 | 0 | 0 | Single | 2070 | 2 | ||||||
| 3 | Male | 6782 | 0 | 1 | 0 | 0 | 1 | Single | 6782 | 9 | ||||||
| 4 | Male | 7779 | 0 | 0 | 1 | 0 | 1 | Single | 7779 | 18 | ||||||
| 3 | Male | 2791 | 0 | 1 | 0 | 0 | 1 | Married | 2791 | 3 | ||||||
| 1 | Male | 3201 | 0 | 0 | 0 | 0 | 1 | Married | 3201 | 6 | ||||||
| 2 | Male | 4968 | 1 | 0 | 0 | 0 | 1 | Divorced | 4968 | 5 | ||||||
| 4 | Male | 13120 | 0 | 0 | 1 | 0 | 1 | Married | 13120 | 22 | ||||||
| 2 | Male | 4033 | 1 | 0 | 0 | 0 | 1 | Single | 4033 | 5 | ||||||
| 3 | Female | 3291 | 0 | 1 | 0 | 0 | 0 | Divorced | 3291 | 8 | ||||||
| 3 | Male | 4272 | 0 | 1 | 0 | 0 | 1 | Single | 4272 | 16 | ||||||
| 1 | Male | 5056 | 0 | 0 | 0 | 0 | 1 | Married | 5056 | 10 | ||||||
| 3 | Male | 2844 | 0 | 1 | 0 | 0 | 1 | Married | 2844 | 7 | ||||||
| 3 | Male | 2703 | 0 | 1 | 0 | 0 | 1 | Divorced | 2703 | 3 | ||||||
| 1 | Male | 1904 | 0 | 0 | 0 | 0 | 1 | Single | 1904 | 0 | ||||||
| 4 | Female | 8224 | 0 | 0 | 1 | 0 | 0 | Single | 8224 | 6 | ||||||
| 4 | Male | 4766 | 0 | 0 | 1 | 0 | 1 | Married | 4766 | 6 | ||||||
| 3 | Male | 2610 | 0 | 1 | 0 | 0 | 1 | Married | 2610 | 2 | ||||||
| 2 | Female | 5731 | 1 | 0 | 0 | 0 | 0 | Divorced | 5731 | 9 | ||||||
| 3 | Male | 2539 | 0 | 1 | 0 | 0 | 1 | Married | 2539 | 4 | ||||||
| 1 | Female | 5714 | 0 | 0 | 0 | 0 | 0 | Married | 5714 | 6 | ||||||
| 4 | Male | 4323 | 0 | 0 | 1 | 0 | 1 | Single | 4323 | 6 | ||||||
| 1 | Female | 7336 | 0 | 0 | 0 | 0 | 0 | Married | 7336 | 11 | ||||||
| 4 | Female | 13499 | 0 | 0 | 1 | 0 | 0 | Single | 13499 | 20 | ||||||
| 3 | Male | 13758 | 0 | 1 | 0 | 0 | 1 | Single | 13758 | 22 | ||||||
| 4 | Male | 5155 | 0 | 0 | 1 | 0 | 1 | Single | 5155 | 9 | ||||||
| 4 | Male | 2258 | 0 | 0 | 1 | 0 | 1 | Married | 2258 | 10 | ||||||
| 3 | Male | 3597 | 0 | 1 | 0 | 0 | 1 | Single | 3597 | 6 | ||||||
| 1 | Female | 2515 | 0 | 0 | 0 | 0 | 0 | Married | 2515 | 1 | ||||||
| 4 | Male | 4420 | 0 | 0 | 1 | 0 | 1 | Married | 4420 | 8 | ||||||
| 3 | Male | 6578 | 0 | 1 | 0 | 0 | 1 | Married | 6578 | 10 | ||||||
| 2 | Female | 4422 | 1 | 0 | 0 | 0 | 0 | Married | 4422 | 16 | ||||||
| 3 | Male | 10274 | 0 | 1 | 0 | 0 | 1 | Divorced | 10274 | 15 | ||||||
| 3 | Male | 5343 | 0 | 1 | 0 | 0 | 1 | Single | 5343 | 14 | ||||||
| 4 | Male | 2376 | 0 | 0 | 1 | 0 | 1 | Married | 2376 | 2 | ||||||
| 3 | Female | 5346 | 0 | 1 | 0 | 0 | 0 | Single | 5346 | 7 | ||||||
| 1 | Female | 2827 | 0 | 0 | 0 | 0 | 0 | Divorced | 2827 | 1 | ||||||
| 4 | Female | 19943 | 0 | 0 | 1 | 0 | 0 | Divorced | 19943 | 28 | ||||||
| 1 | Female | 3131 | 0 | 0 | 0 | 0 | 0 | Married | 3131 | 10 | ||||||
| 2 | Male | 2552 | 1 | 0 | 0 | 0 | 1 | Single | 2552 | 1 | ||||||
| 3 | Female | 4477 | 0 | 1 | 0 | 0 | 0 | Married | 4477 | 7 | ||||||
| 3 | Female | 6474 | 0 | 1 | 0 | 0 | 0 | Married | 6474 | 14 | ||||||
| 3 | Male | 3033 | 0 | 1 | 0 | 0 | 1 | Single | 3033 | 2 | ||||||
| 4 | Male | 2936 | 0 | 0 | 1 | 0 | 1 | Single | 2936 | 6 | ||||||
| 2 | Female | 18606 | 1 | 0 | 0 | 0 | 0 | Divorced | 18606 | 26 | ||||||
| 1 | Female | 2168 | 0 | 0 | 0 | 0 | 0 | Married | 2168 | 6 | ||||||
| 4 | Male | 2853 | 0 | 0 | 1 | 0 | 1 | Married | 2853 | 1 | ||||||
| 3 | Female | 17048 | 0 | 1 | 0 | 0 | 0 | Married | 17048 | 28 | ||||||
| 3 | Male | 2290 | 0 | 1 | 0 | 0 | 1 | Single | 2290 | 6 | ||||||
| 3 | Male | 3600 | 0 | 1 | 0 | 0 | 1 | Married | 3600 | 5 | ||||||
| 2 | Male | 2107 | 1 | 0 | 0 | 0 | 1 | Divorced | 2107 | 5 | ||||||
| 4 | Male | 4115 | 0 | 0 | 1 | 0 | 1 | Divorced | 4115 | 8 | ||||||
| 4 | Male | 4327 | 0 | 0 | 1 | 0 | 1 | Married | 4327 | 5 | ||||||
| 3 | Female | 17856 | 0 | 1 | 0 | 0 | 0 | Married | 17856 | 32 | ||||||
| 4 | Male | 3196 | 0 | 0 | 1 | 0 | 1 | Married | 3196 | 6 | ||||||
| 2 | Male | 19081 | 1 | 0 | 0 | 0 | 1 | Married | 19081 | 25 | ||||||
| 4 | Male | 8966 | 0 | 0 | 1 | 0 | 1 | Married | 8966 | 15 | ||||||
| 2 | Female | 2210 | 1 | 0 | 0 | 0 | 0 | Married | 2210 | 1 | ||||||
| 3 | Female | 4539 | 0 | 1 | 0 | 0 | 0 | Married | 4539 | 10 | ||||||
| 4 | Male | 2741 | 0 | 0 | 1 | 0 | 1 | Divorced | 2741 | 7 | ||||||
| 4 | Male | 3491 | 0 | 0 | 1 | 0 | 1 | Divorced | 3491 | 10 | ||||||
| 4 | Male | 4541 | 0 | 0 | 1 | 0 | 1 | Single | 4541 | 20 | ||||||
| 3 | Male | 2678 | 0 | 1 | 0 | 0 | 1 | Single | 2678 | 2 | ||||||
| 4 | Male | 7379 | 0 | 0 | 1 | 0 | 1 | Divorced | 7379 | 12 | ||||||
| 5 | Male | 6272 | 0 | 0 | 0 | 1 | 1 | Married | 6272 | 10 | ||||||
| 4 | Male | 5220 | 0 | 0 | 1 | 0 | 1 | Divorced | 5220 | 12 | ||||||
| 3 | Female | 2743 | 0 | 1 | 0 | 0 | 0 | Married | 2743 | 2 | ||||||
| 2 | Female | 4998 | 1 | 0 | 0 | 0 | 0 | Single | 4998 | 10 | ||||||
| 3 | Female | 10252 | 0 | 1 | 0 | 0 | 0 | Divorced | 10252 | 17 | ||||||
| 3 | Male | 2781 | 0 | 1 | 0 | 0 | 1 | Married | 2781 | 15 | ||||||
| 3 | Female | 6852 | 0 | 1 | 0 | 0 | 0 | Divorced | 6852 | 7 | ||||||
| 4 | Male | 4950 | 0 | 0 | 1 | 0 | 1 | Single | 4950 | 5 | ||||||
| 3 | Male | 3579 | 0 | 1 | 0 | 0 | 1 | Married | 3579 | 12 | ||||||
| 5 | Female | 13191 | 0 | 0 | 0 | 1 | 0 | Married | 13191 | 20 | ||||||
| 2 | Female | 10377 | 1 | 0 | 0 | 0 | 0 | Married | 10377 | 16 | ||||||
| 3 | Male | 2235 | 0 | 1 | 0 | 0 | 1 | Married | 2235 | 9 | ||||||
| 4 | Female | 10502 | 0 | 0 | 1 | 0 | 0 | Divorced | 10502 | 33 | ||||||
| 1 | Female | 2011 | 0 | 0 | 0 | 0 | 0 | Married | 2011 | 10 | ||||||
| 3 | Female | 1859 | 0 | 1 | 0 | 0 | 0 | Single | 1859 | 1 | ||||||
| 3 | Female | 3760 | 0 | 1 | 0 | 0 | 0 | Divorced | 3760 | 3 | ||||||
| 3 | Male | 17779 | 0 | 1 | 0 | 0 | 1 | Married | 17779 | 36 | ||||||
| 2 | Male | 6833 | 1 | 0 | 0 | 0 | 1 | Married | 6833 | 6 | ||||||
| 3 | Female | 6812 | 0 | 1 | 0 | 0 | 0 | Single | 6812 | 10 | ||||||
| 3 | Female | 5171 | 0 | 1 | 0 | 0 | 0 | Single | 5171 | 13 | ||||||
| 3 | Male | 19740 | 0 | 1 | 0 | 0 | 1 | Married | 19740 | 25 | ||||||
| 2 | Male | 18711 | 1 | 0 | 0 | 0 | 1 | Married | 18711 | 23 | ||||||
| 3 | Male | 3692 | 0 | 1 | 0 | 0 | 1 | Married | 3692 | 12 | ||||||
| 2 | Male | 2559 | 1 | 0 | 0 | 0 | 1 | Single | 2559 | 7 | ||||||
| 2 | Male | 2517 | 1 | 0 | 0 | 0 | 1 | Divorced | 2517 | 5 | ||||||
| 3 | Male | 6623 | 0 | 1 | 0 | 0 | 1 | Divorced | 6623 | 6 | ||||||
| 3 | Male | 18265 | 0 | 1 | 0 | 0 | 1 | Single | 18265 | 25 | ||||||
| 3 | Female | 16124 | 0 | 1 | 0 | 0 | 0 | Divorced | 16124 | 9 | ||||||
| 3 | Female | 2585 | 0 | 1 | 0 | 0 | 0 | Married | 2585 | 2 | ||||||
| 3 | Male | 18213 | 0 | 1 | 0 | 0 | 1 | Married | 18213 | 26 | ||||||
| 5 | Male | 8380 | 0 | 0 | 0 | 1 | 1 | Divorced | 8380 | 10 | ||||||
| 3 | Female | 2994 | 0 | 1 | 0 | 0 | 0 | Single | 2994 | 1 | ||||||
| 2 | Male | 1223 | 1 | 0 | 0 | 0 | 1 | Married | 1223 | 1 | ||||||
| 1 | Male | 1118 | 0 | 0 | 0 | 0 | 1 | Single | 1118 | 1 | ||||||
| 2 | Male | 2875 | 1 | 0 | 0 | 0 | 1 | Single | 2875 | 8 | ||||||
| 3 | Female | 18824 | 0 | 1 | 0 | 0 | 0 | Single | 18824 | 26 | ||||||
| 1 | Male | 13577 | 0 | 0 | 0 | 0 | 1 | Divorced | 13577 | 34 | ||||||
| 2 | Female | 2625 | 1 | 0 | 0 | 0 | 0 | Single | 2625 | 2 | ||||||
| 2 | Female | 18789 | 1 | 0 | 0 | 0 | 0 | Married | 18789 | 26 | ||||||
| 3 | Female | 4538 | 0 | 1 | 0 | 0 | 0 | Single | 4538 | 4 | ||||||
| 3 | Male | 19847 | 0 | 1 | 0 | 0 | 1 | Divorced | 19847 | 31 | ||||||
| 4 | Male | 10512 | 0 | 0 | 1 | 0 | 1 | Single | 10512 | 25 | ||||||
| 3 | Female | 4444 | 0 | 1 | 0 | 0 | 0 | Divorced | 4444 | 15 | ||||||
| 4 | Male | 2154 | 0 | 0 | 1 | 0 | 1 | Single | 2154 | 5 | ||||||
| 2 | Male | 19190 | 1 | 0 | 0 | 0 | 1 | Divorced | 19190 | 26 | ||||||
| 3 | Male | 4490 | 0 | 1 | 0 | 0 | 1 | Married | 4490 | 14 | ||||||
| 1 | Male | 3506 | 0 | 0 | 0 | 0 | 1 | Married | 3506 | 4 | ||||||
| 4 | Female | 2372 | 0 | 0 | 1 | 0 | 0 | Married | 2372 | 18 | ||||||
| 4 | Female | 10231 | 0 | 0 | 1 | 0 | 0 | Single | 10231 | 23 | ||||||
| 4 | Female | 5410 | 0 | 0 | 1 | 0 | 0 | Single | 5410 | 18 | ||||||
| 3 | Female | 7978 | 0 | 1 | 0 | 0 | 0 | Married | 7978 | 10 | ||||||
| 3 | Male | 3867 | 0 | 1 | 0 | 0 | 1 | Married | 3867 | 2 | ||||||
| 2 | Female | 2838 | 1 | 0 | 0 | 0 | 0 | Single | 2838 | 8 | ||||||
| 2 | Female | 4695 | 1 | 0 | 0 | 0 | 0 | Single | 4695 | 10 | ||||||
| 3 | Female | 3339 | 0 | 1 | 0 | 0 | 0 | Divorced | 3339 | 10 | ||||||
| 3 | Male | 2080 | 0 | 1 | 0 | 0 | 1 | Single | 2080 | 5 | ||||||
| 3 | Female | 2096 | 0 | 1 | 0 | 0 | 0 | Single | 2096 | 2 | ||||||
| 3 | Male | 6209 | 0 | 1 | 0 | 0 | 1 | Married | 6209 | 10 | ||||||
| 3 | Female | 18061 | 0 | 1 | 0 | 0 | 0 | Single | 18061 | 22 | ||||||
| 4 | Female | 17123 | 0 | 0 | 1 | 0 | 0 | Divorced | 17123 | 21 | ||||||
| 4 | Male | 2372 | 0 | 0 | 1 | 0 | 1 | Divorced | 2372 | 2 | ||||||
| 2 | Male | 4883 | 1 | 0 | 0 | 0 | 1 | Married | 4883 | 10 | ||||||
| 3 | Male | 3904 | 0 | 1 | 0 | 0 | 1 | Single | 3904 | 6 | ||||||
| 3 | Female | 4627 | 0 | 1 | 0 | 0 | 0 | Married | 4627 | 10 | ||||||
| 4 | Female | 7094 | 0 | 0 | 1 | 0 | 0 | Married | 7094 | 10 | ||||||
| 2 | Female | 3423 | 1 | 0 | 0 | 0 | 0 | Single | 3423 | 10 | ||||||
| 3 | Female | 6674 | 0 | 1 | 0 | 0 | 0 | Married | 6674 | 10 | ||||||
| 3 | Female | 16880 | 0 | 1 | 0 | 0 | 0 | Married | 16880 | 25 | ||||||
| 4 | Male | 9094 | 0 | 0 | 1 | 0 | 1 | Single | 9094 | 9 | ||||||
| 3 | Male | 8446 | 0 | 1 | 0 | 0 | 1 | Single | 8446 | 10 | ||||||
| 4 | Female | 11916 | 0 | 0 | 1 | 0 | 0 | Married | 11916 | 9 | ||||||
| 2 | Male | 4534 | 1 | 0 | 0 | 0 | 1 | Single | 4534 | 9 | ||||||
| 4 | Female | 9852 | 0 | 0 | 1 | 0 | 0 | Divorced | 9852 | 10 | ||||||
| 2 | Male | 6151 | 1 | 0 | 0 | 0 | 1 | Single | 6151 | 19 | ||||||
| 3 | Female | 2302 | 0 | 1 | 0 | 0 | 0 | Single | 2302 | 3 | ||||||
| 3 | Male | 2362 | 0 | 1 | 0 | 0 | 1 | Married | 2362 | 10 | ||||||
| 1 | Male | 17861 | 0 | 0 | 0 | 0 | 1 | Married | 17861 | 21 | ||||||
| 2 | Female | 19187 | 1 | 0 | 0 | 0 | 0 | Married | 19187 | 23 | ||||||
| 4 | Male | 19717 | 0 | 0 | 1 | 0 | 1 | Single | 19717 | 36 | ||||||
| 2 | Male | 3544 | 1 | 0 | 0 | 0 | 1 | Divorced | 3544 | 6 | ||||||
| 3 | Male | 8500 | 0 | 1 | 0 | 0 | 1 | Divorced | 8500 | 10 | ||||||
| 3 | Male | 4661 | 0 | 1 | 0 | 0 | 1 | Single | 4661 | 9 | ||||||
| 3 | Female | 4103 | 0 | 1 | 0 | 0 | 0 | Divorced | 4103 | 10 | ||||||
| 4 | Male | 4249 | 0 | 0 | 1 | 0 | 1 | Single | 4249 | 9 | ||||||
| 3 | Male | 14026 | 0 | 1 | 0 | 0 | 1 | Divorced | 14026 | 33 | ||||||
| 2 | Female | 6893 | 1 | 0 | 0 | 0 | 0 | Divorced | 6893 | 11 | ||||||
| 2 | Female | 6125 | 1 | 0 | 0 | 0 | 0 | Single | 6125 | 10 | ||||||
| 1 | Male | 3669 | 0 | 0 | 0 | 0 | 1 | Married | 3669 | 7 | ||||||
| 4 | Female | 10008 | 0 | 0 | 1 | 0 | 0 | Married | 10008 | 31 | ||||||
| 4 | Male | 2387 | 0 | 0 | 1 | 0 | 1 | Married | 2387 | 7 | ||||||
| 3 | Female | 4639 | 0 | 1 | 0 | 0 | 0 | Married | 4639 | 17 | ||||||
| 3 | Male | 7898 | 0 | 1 | 0 | 0 | 1 | Single | 7898 | 11 | ||||||
| 3 | Female | 2534 | 0 | 1 | 0 | 0 | 0 | Married | 2534 | 5 | ||||||
| 2 | Female | 13142 | 1 | 0 | 0 | 0 | 0 | Single | 13142 | 29 | ||||||
| 3 | Female | 1611 | 0 | 1 | 0 | 0 | 0 | Single | 1611 | 0 | ||||||
| 3 | Female | 5363 | 0 | 1 | 0 | 0 | 0 | Married | 5363 | 10 | ||||||
| 1 | Male | 5071 | 0 | 0 | 0 | 0 | 1 | Single | 5071 | 8 | ||||||
| 4 | Male | 13695 | 0 | 0 | 1 | 0 | 1 | Single | 13695 | 24 | ||||||
| 3 | Male | 13402 | 0 | 1 | 0 | 0 | 1 | Married | 13402 | 33 | ||||||
| 1 | Female | 2029 | 0 | 0 | 0 | 0 | 0 | Divorced | 2029 | 5 | ||||||
| 1 | Female | 6377 | 0 | 0 | 0 | 0 | 0 | Divorced | 6377 | 15 | ||||||
| 3 | Male | 5429 | 0 | 1 | 0 | 0 | 1 | Married | 5429 | 10 | ||||||
| 3 | Female | 2785 | 0 | 1 | 0 | 0 | 0 | Single | 2785 | 3 | ||||||
| 4 | Female | 4614 | 0 | 0 | 1 | 0 | 0 | Married | 4614 | 5 | ||||||
| 3 | Male | 2610 | 0 | 1 | 0 | 0 | 1 | Divorced | 2610 | 4 | ||||||
| 4 | Female | 6687 | 0 | 0 | 1 | 0 | 0 | Single | 6687 | 14 | ||||||
| 3 | Male | 4724 | 0 | 1 | 0 | 0 | 1 | Married | 4724 | 5 | ||||||
| 4 | Male | 6179 | 0 | 0 | 1 | 0 | 1 | Married | 6179 | 10 | ||||||
| 4 | Male | 6120 | 0 | 0 | 1 | 0 | 1 | Married | 6120 | 8 | ||||||
| 3 | Male | 10596 | 0 | 1 | 0 | 0 | 1 | Married | 10596 | 14 | ||||||
| 3 | Female | 5467 | 0 | 1 | 0 | 0 | 0 | Divorced | 5467 | 12 | ||||||
| 1 | Male | 2996 | 0 | 0 | 0 | 0 | 1 | Married | 2996 | 8 | ||||||
| 1 | Male | 9998 | 0 | 0 | 0 | 0 | 1 | Married | 9998 | 8 | ||||||
| 1 | Male | 4078 | 0 | 0 | 0 | 0 | 1 | Married | 4078 | 4 | ||||||
| 2 | Male | 10920 | 1 | 0 | 0 | 0 | 1 | Married | 10920 | 13 | ||||||
| 1 | Male | 6232 | 0 | 0 | 0 | 0 | 1 | Married | 6232 | 6 | ||||||
| 2 | Female | 13247 | 1 | 0 | 0 | 0 | 0 | Married | 13247 | 24 | ||||||
| 3 | Female | 4081 | 0 | 1 | 0 | 0 | 0 | Single | 4081 | 20 | ||||||
| 3 | Female | 5769 | 0 | 1 | 0 | 0 | 0 | Married | 5769 | 6 | ||||||
| 4 | Female | 2394 | 0 | 0 | 1 | 0 | 0 | Single | 2394 | 8 | ||||||
| 1 | Male | 3904 | 0 | 0 | 0 | 0 | 1 | Single | 3904 | 5 | ||||||
| 3 | Female | 16799 | 0 | 1 | 0 | 0 | 0 | Married | 16799 | 21 | ||||||
| 4 | Female | 2950 | 0 | 0 | 1 | 0 | 0 | Married | 2950 | 12 | ||||||
| 3 | Female | 3629 | 0 | 1 | 0 | 0 | 0 | Single | 3629 | 8 | ||||||
| 2 | Male | 9362 | 1 | 0 | 0 | 0 | 1 | Single | 9362 | 10 | ||||||
| 3 | Male | 3229 | 0 | 1 | 0 | 0 | 1 | Married | 3229 | 7 | ||||||
| 3 | Male | 3578 | 0 | 1 | 0 | 0 | 1 | Single | 3578 | 8 | ||||||
| 3 | Male | 7988 | 0 | 1 | 0 | 0 | 1 | Single | 7988 | 10 | ||||||
| 2 | Male | 4284 | 1 | 0 | 0 | 0 | 1 | Single | 4284 | 20 | ||||||
| 1 | Female | 7553 | 0 | 0 | 0 | 0 | 0 | Single | 7553 | 9 | ||||||
| 3 | Female | 17328 | 0 | 1 | 0 | 0 | 0 | Single | 17328 | 29 | ||||||
| 3 | Female | 19701 | 0 | 1 | 0 | 0 | 0 | Married | 19701 | 32 | ||||||
| 4 | Male | 14732 | 0 | 0 | 1 | 0 | 1 | Divorced | 14732 | 31 | ||||||
| 4 | Female | 9278 | 0 | 0 | 1 | 0 | 0 | Single | 9278 | 15 | ||||||
| 4 | Female | 1359 | 0 | 0 | 1 | 0 | 0 | Single | 1359 | 1 | ||||||
| 4 | Female | 4779 | 0 | 0 | 1 | 0 | 0 | Divorced | 4779 | 8 | ||||||
| 5 | Female | 16422 | 0 | 0 | 0 | 1 | 0 | Single | 16422 | 9 | ||||||
| 4 | Male | 2996 | 0 | 0 | 1 | 0 | 1 | Divorced | 2996 | 10 | ||||||
| 3 | Female | 1261 | 0 | 1 | 0 | 0 | 0 | Single | 1261 | 1 | ||||||
| 1 | Male | 2099 | 0 | 0 | 0 | 0 | 1 | Married | 2099 | 6 | ||||||
| 4 | Male | 5810 | 0 | 0 | 1 | 0 | 1 | Single | 5810 | 10 | ||||||
| 4 | Female | 5647 | 0 | 0 | 1 | 0 | 0 | Married | 5647 | 11 | ||||||
| 3 | Male | 3420 | 0 | 1 | 0 | 0 | 1 | Married | 3420 | 17 | ||||||
| 2 | Male | 4400 | 1 | 0 | 0 | 0 | 1 | Married | 4400 | 6 | ||||||
| 2 | Male | 3500 | 1 | 0 | 0 | 0 | 1 | Single | 3500 | 7 | ||||||
| 2 | Female | 2066 | 1 | 0 | 0 | 0 | 0 | Married | 2066 | 5 | ||||||
| 4 | Female | 17169 | 0 | 0 | 1 | 0 | 0 | Married | 17169 | 26 | ||||||
| 1 | Female | 4162 | 0 | 0 | 0 | 0 | 0 | Married | 4162 | 5 | ||||||
| 5 | Male | 9204 | 0 | 0 | 0 | 1 | 1 | Married | 9204 | 7 | ||||||
| 3 | Female | 3294 | 0 | 1 | 0 | 0 | 0 | Married | 3294 | 7 | ||||||
| 5 | Male | 2127 | 0 | 0 | 0 | 1 | 1 | Married | 2127 | 7 | ||||||
| 4 | Male | 3975 | 0 | 0 | 1 | 0 | 1 | Divorced | 3975 | 11 | ||||||
| 2 | Male | 10793 | 1 | 0 | 0 | 0 | 1 | Divorced | 10793 | 13 | ||||||
| 3 | Male | 10096 | 0 | 1 | 0 | 0 | 1 | Divorced | 10096 | 28 | ||||||
| 3 | Female | 3646 | 0 | 1 | 0 | 0 | 0 | Single | 3646 | 11 | ||||||
| 5 | Female | 7446 | 0 | 0 | 0 | 1 | 0 | Single | 7446 | 10 | ||||||
| 3 | Male | 10851 | 0 | 1 | 0 | 0 | 1 | Divorced | 10851 | 24 | ||||||
| 2 | Female | 2109 | 1 | 0 | 0 | 0 | 0 | Single | 2109 | 8 | ||||||
| 3 | Male | 3722 | 0 | 1 | 0 | 0 | 1 | Married | 3722 | 7 | ||||||
| 3 | Male | 9380 | 0 | 1 | 0 | 0 | 1 | Married | 9380 | 10 | ||||||
| 3 | Male | 5486 | 0 | 1 | 0 | 0 | 1 | Divorced | 5486 | 15 | ||||||
| 4 | Female | 2742 | 0 | 0 | 1 | 0 | 0 | Married | 2742 | 2 | ||||||
| 1 | Male | 13757 | 0 | 0 | 0 | 0 | 1 | Divorced | 13757 | 16 | ||||||
| 3 | Male | 8463 | 0 | 1 | 0 | 0 | 1 | Single | 8463 | 6 | ||||||
| 3 | Male | 3162 | 0 | 1 | 0 | 0 | 1 | Single | 3162 | 7 | ||||||
| 3 | Male | 16598 | 0 | 1 | 0 | 0 | 1 | Single | 16598 | 35 | ||||||
| 4 | Male | 6651 | 0 | 0 | 1 | 0 | 1 | Married | 6651 | 20 | ||||||
| 3 | Male | 2345 | 0 | 1 | 0 | 0 | 1 | Divorced | 2345 | 8 | ||||||
| 3 | Male | 3420 | 0 | 1 | 0 | 0 | 1 | Single | 3420 | 6 | ||||||
| 3 | Male | 4373 | 0 | 1 | 0 | 0 | 1 | Married | 4373 | 5 | ||||||
| 3 | Male | 4759 | 0 | 1 | 0 | 0 | 1 | Single | 4759 | 15 | ||||||
| 1 | Male | 5301 | 0 | 0 | 0 | 0 | 1 | Married | 5301 | 4 | ||||||
| 2 | Female | 3673 | 1 | 0 | 0 | 0 | 0 | Single | 3673 | 12 | ||||||
| 5 | Female | 4768 | 0 | 0 | 0 | 1 | 0 | Married | 4768 | 11 | ||||||
| 3 | Male | 1274 | 0 | 1 | 0 | 0 | 1 | Divorced | 1274 | 1 | ||||||
| 2 | Male | 4900 | 1 | 0 | 0 | 0 | 1 | Married | 4900 | 13 | ||||||
| 4 | Male | 10466 | 0 | 0 | 1 | 0 | 1 | Divorced | 10466 | 29 | ||||||
| 3 | Male | 17007 | 0 | 1 | 0 | 0 | 1 | Divorced | 17007 | 16 | ||||||
| 3 | Male | 2909 | 0 | 1 | 0 | 0 | 1 | Married | 2909 | 5 | ||||||
| 3 | Female | 5765 | 0 | 1 | 0 | 0 | 0 | Single | 5765 | 7 | ||||||
| 4 | Female | 4599 | 0 | 0 | 1 | 0 | 0 | Single | 4599 | 16 | ||||||
| 1 | Male | 2404 | 0 | 0 | 0 | 0 | 1 | Married | 2404 | 1 | ||||||
| 3 | Male | 3172 | 0 | 1 | 0 | 0 | 1 | Single | 3172 | 4 | ||||||
| 2 | Female | 2033 | 1 | 0 | 0 | 0 | 0 | Married | 2033 | 1 | ||||||
| 1 | Male | 10209 | 0 | 0 | 0 | 0 | 1 | Single | 10209 | 16 | ||||||
| 3 | Male | 8620 | 0 | 1 | 0 | 0 | 1 | Divorced | 8620 | 10 | ||||||
| 3 | Male | 2064 | 0 | 1 | 0 | 0 | 1 | Divorced | 2064 | 6 | ||||||
| 4 | Male | 4035 | 0 | 0 | 1 | 0 | 1 | Married | 4035 | 4 | ||||||
| 4 | Female | 3838 | 0 | 0 | 1 | 0 | 0 | Married | 3838 | 8 | ||||||
| 3 | Female | 4591 | 0 | 1 | 0 | 0 | 0 | Married | 4591 | 11 | ||||||
| 2 | Male | 2561 | 1 | 0 | 0 | 0 | 1 | Single | 2561 | 8 | ||||||
| 3 | Male | 1563 | 0 | 1 | 0 | 0 | 1 | Divorced | 1563 | 1 | ||||||
| 3 | Male | 4898 | 0 | 1 | 0 | 0 | 1 | Single | 4898 | 5 | ||||||
| 2 | Female | 4789 | 1 | 0 | 0 | 0 | 0 | Married | 4789 | 10 | ||||||
| 1 | Female | 3180 | 0 | 0 | 0 | 0 | 0 | Married | 3180 | 4 | ||||||
| 1 | Male | 6549 | 0 | 0 | 0 | 0 | 1 | Married | 6549 | 8 | ||||||
| 5 | Male | 6388 | 0 | 0 | 0 | 1 | 1 | Single | 6388 | 14 | ||||||
| 3 | Male | 11244 | 0 | 1 | 0 | 0 | 1 | Single | 11244 | 10 | ||||||
| 4 | Female | 16032 | 0 | 0 | 1 | 0 | 0 | Divorced | 16032 | 26 | ||||||
| 4 | Male | 2362 | 0 | 0 | 1 | 0 | 1 | Single | 2362 | 11 | ||||||
| 3 | Male | 16328 | 0 | 1 | 0 | 0 | 1 | Married | 16328 | 24 | ||||||
| 3 | Female | 8376 | 0 | 1 | 0 | 0 | 0 | Single | 8376 | 9 | ||||||
| 3 | Female | 16606 | 0 | 1 | 0 | 0 | 0 | Married | 16606 | 23 | ||||||
| 3 | Female | 8606 | 0 | 1 | 0 | 0 | 0 | Single | 8606 | 11 | ||||||
| 1 | Male | 2272 | 0 | 0 | 0 | 0 | 1 | Single | 2272 | 5 | ||||||
| 4 | Male | 2018 | 0 | 0 | 1 | 0 | 1 | Single | 2018 | 15 | ||||||
| 3 | Male | 7083 | 0 | 1 | 0 | 0 | 1 | Married | 7083 | 10 | ||||||
| 3 | Female | 4084 | 0 | 1 | 0 | 0 | 0 | Single | 4084 | 7 | ||||||
| 5 | Male | 14411 | 0 | 0 | 0 | 1 | 1 | Single | 14411 | 32 | ||||||
| 2 | Male | 2308 | 1 | 0 | 0 | 0 | 1 | Married | 2308 | 12 | ||||||
| 3 | Male | 4841 | 0 | 1 | 0 | 0 | 1 | Married | 4841 | 4 | ||||||
| 3 | Male | 4285 | 0 | 1 | 0 | 0 | 1 | Married | 4285 | 10 | ||||||
| 1 | Female | 9715 | 0 | 0 | 0 | 0 | 0 | Married | 9715 | 9 | ||||||
| 3 | Male | 4320 | 0 | 1 | 0 | 0 | 1 | Single | 4320 | 5 | ||||||
| 3 | Male | 2132 | 0 | 1 | 0 | 0 | 1 | Married | 2132 | 8 | ||||||
| 3 | Male | 10124 | 0 | 1 | 0 | 0 | 1 | Married | 10124 | 24 | ||||||
| 2 | Male | 5473 | 1 | 0 | 0 | 0 | 1 | Married | 5473 | 9 | ||||||
| 4 | Male | 5207 | 0 | 0 | 1 | 0 | 1 | Married | 5207 | 15 | ||||||
| 2 | Male | 16437 | 1 | 0 | 0 | 0 | 1 | Single | 16437 | 21 | ||||||
| 2 | Male | 2296 | 1 | 0 | 0 | 0 | 1 | Divorced | 2296 | 2 | ||||||
| 2 | Male | 4069 | 1 | 0 | 0 | 0 | 1 | Divorced | 4069 | 8 | ||||||
| 4 | Male | 7441 | 0 | 0 | 1 | 0 | 1 | Divorced | 7441 | 10 | ||||||
| 4 | Female | 2430 | 0 | 0 | 1 | 0 | 0 | Married | 2430 | 6 | ||||||
| 2 | Female | 5878 | 1 | 0 | 0 | 0 | 0 | Married | 5878 | 12 | ||||||
| 4 | Male | 2644 | 0 | 0 | 1 | 0 | 1 | Single | 2644 | 7 | ||||||
| 4 | Female | 6439 | 0 | 0 | 1 | 0 | 0 | Divorced | 6439 | 18 | ||||||
| 3 | Male | 2451 | 0 | 1 | 0 | 0 | 1 | Married | 2451 | 5 | ||||||
| 4 | Male | 6392 | 0 | 0 | 1 | 0 | 1 | Married | 6392 | 8 | ||||||
| 3 | Male | 9714 | 0 | 1 | 0 | 0 | 1 | Married | 9714 | 10 | ||||||
| 4 | Male | 6077 | 0 | 0 | 1 | 0 | 1 | Married | 6077 | 10 | ||||||
| 3 | Male | 2450 | 0 | 1 | 0 | 0 | 1 | Single | 2450 | 3 | ||||||
| 4 | Male | 9250 | 0 | 0 | 1 | 0 | 1 | Married | 9250 | 9 | ||||||
| 3 | Female | 2074 | 0 | 1 | 0 | 0 | 0 | Divorced | 2074 | 1 | ||||||
| 5 | Female | 10169 | 0 | 0 | 0 | 1 | 0 | Married | 10169 | 34 | ||||||
| 3 | Male | 4855 | 0 | 1 | 0 | 0 | 1 | Married | 4855 | 7 | ||||||
| 4 | Male | 4087 | 0 | 0 | 1 | 0 | 1 | Married | 4087 | 9 | ||||||
| 4 | Female | 2367 | 0 | 0 | 1 | 0 | 0 | Married | 2367 | 10 | ||||||
| 4 | Male | 2972 | 0 | 0 | 1 | 0 | 1 | Single | 2972 | 1 | ||||||
| 5 | Male | 19586 | 0 | 0 | 0 | 1 | 1 | Married | 19586 | 36 | ||||||
| 4 | Male | 5484 | 0 | 0 | 1 | 0 | 1 | Married | 5484 | 9 | ||||||
| 3 | Female | 2061 | 0 | 1 | 0 | 0 | 0 | Married | 2061 | 1 | ||||||
| 3 | Male | 9924 | 0 | 1 | 0 | 0 | 1 | Married | 9924 | 10 | ||||||
| 3 | Female | 4198 | 0 | 1 | 0 | 0 | 0 | Single | 4198 | 8 | ||||||
| 4 | Female | 6815 | 0 | 0 | 1 | 0 | 0 | Single | 6815 | 15 | ||||||
| 1 | Male | 4723 | 0 | 0 | 0 | 0 | 1 | Single | 4723 | 10 | ||||||
| 4 | Female | 6142 | 0 | 0 | 1 | 0 | 0 | Single | 6142 | 10 | ||||||
| 3 | Male | 8237 | 0 | 1 | 0 | 0 | 1 | Married | 8237 | 11 | ||||||
| 1 | Male | 8853 | 0 | 0 | 0 | 0 | 1 | Divorced | 8853 | 6 | ||||||
| 3 | Male | 19331 | 0 | 1 | 0 | 0 | 1 | Married | 19331 | 27 | ||||||
| 3 | Male | 2073 | 0 | 1 | 0 | 0 | 1 | Married | 2073 | 4 | ||||||
| 4 | Male | 5562 | 0 | 0 | 1 | 0 | 1 | Married | 5562 | 9 | ||||||
| 2 | Male | 19613 | 1 | 0 | 0 | 0 | 1 | Single | 19613 | 24 | ||||||
| 3 | Male | 3407 | 0 | 1 | 0 | 0 | 1 | Married | 3407 | 10 | ||||||
| 4 | Male | 5063 | 0 | 0 | 1 | 0 | 1 | Married | 5063 | 8 | ||||||
| 2 | Female | 4639 | 1 | 0 | 0 | 0 | 0 | Married | 4639 | 5 | ||||||
| 3 | Male | 4876 | 0 | 1 | 0 | 0 | 1 | Divorced | 4876 | 8 | ||||||
| 2 | Male | 2690 | 1 | 0 | 0 | 0 | 1 | Married | 2690 | 1 | ||||||
| 4 | Male | 17567 | 0 | 0 | 1 | 0 | 1 | Single | 17567 | 27 | ||||||
| 3 | Male | 2408 | 0 | 1 | 0 | 0 | 1 | Married | 2408 | 1 | ||||||
| 2 | Female | 2814 | 1 | 0 | 0 | 0 | 0 | Married | 2814 | 4 | ||||||
| 5 | Male | 11245 | 0 | 0 | 0 | 1 | 1 | Married | 11245 | 32 | ||||||
| 4 | Female | 3312 | 0 | 0 | 1 | 0 | 0 | Married | 3312 | 6 | ||||||
| 3 | Female | 19049 | 0 | 1 | 0 | 0 | 0 | Divorced | 19049 | 23 | ||||||
| 3 | Male | 2141 | 0 | 1 | 0 | 0 | 1 | Married | 2141 | 6 | ||||||
| 5 | Female | 5769 | 0 | 0 | 0 | 1 | 0 | Single | 5769 | 10 | ||||||
| 3 | Male | 4385 | 0 | 1 | 0 | 0 | 1 | Married | 4385 | 10 | ||||||
| 4 | Male | 5332 | 0 | 0 | 1 | 0 | 1 | Single | 5332 | 10 | ||||||
| 4 | Female | 4663 | 0 | 0 | 1 | 0 | 0 | Married | 4663 | 7 | ||||||
| 4 | Male | 4724 | 0 | 0 | 1 | 0 | 1 | Divorced | 4724 | 9 | ||||||
| 4 | Female | 3211 | 0 | 0 | 1 | 0 | 0 | Married | 3211 | 10 | ||||||
| 5 | Male | 5377 | 0 | 0 | 0 | 1 | 1 | Married | 5377 | 10 | ||||||
| 3 | Male | 4066 | 0 | 1 | 0 | 0 | 1 | Divorced | 4066 | 7 | ||||||
| 5 | Male | 5208 | 0 | 0 | 0 | 1 | 1 | Married | 5208 | 16 | ||||||
| 3 | Female | 4877 | 0 | 1 | 0 | 0 | 0 | Divorced | 4877 | 6 | ||||||
| 1 | Male | 3117 | 0 | 0 | 0 | 0 | 1 | Single | 3117 | 3 | ||||||
| 2 | Female | 1569 | 1 | 0 | 0 | 0 | 0 | Single | 1569 | 0 | ||||||
| 4 | Female | 19658 | 0 | 0 | 1 | 0 | 0 | Married | 19658 | 27 | ||||||
| 2 | Male | 3069 | 1 | 0 | 0 | 0 | 1 | Divorced | 3069 | 11 | ||||||
| 3 | Female | 10435 | 0 | 1 | 0 | 0 | 0 | Married | 10435 | 18 | ||||||
| 4 | Female | 4148 | 0 | 0 | 1 | 0 | 0 | Married | 4148 | 15 | ||||||
| 3 | Male | 5768 | 0 | 1 | 0 | 0 | 1 | Married | 5768 | 9 | ||||||
| 3 | Female | 5042 | 0 | 1 | 0 | 0 | 0 | Single | 5042 | 10 | ||||||
| 2 | Female | 5770 | 1 | 0 | 0 | 0 | 0 | Divorced | 5770 | 10 | ||||||
| 2 | Female | 7756 | 1 | 0 | 0 | 0 | 0 | Married | 7756 | 10 | ||||||
| 3 | Male | 10306 | 0 | 1 | 0 | 0 | 1 | Married | 10306 | 15 | ||||||
| 3 | Female | 3936 | 0 | 1 | 0 | 0 | 0 | Married | 3936 | 8 | ||||||
| 3 | Female | 7945 | 0 | 1 | 0 | 0 | 0 | Single | 7945 | 18 | ||||||
| 5 | Male | 5743 | 0 | 0 | 0 | 1 | 1 | Married | 5743 | 14 | ||||||
| 5 | Male | 15202 | 0 | 0 | 0 | 1 | 1 | Married | 15202 | 23 | ||||||
| 2 | Male | 5440 | 1 | 0 | 0 | 0 | 1 | Divorced | 5440 | 7 | ||||||
| 1 | Female | 3760 | 0 | 0 | 0 | 0 | 0 | Single | 3760 | 6 | ||||||
| 3 | Female | 3517 | 0 | 1 | 0 | 0 | 0 | Married | 3517 | 5 | ||||||
| 3 | Male | 2580 | 0 | 1 | 0 | 0 | 1 | Single | 2580 | 6 | ||||||
| 3 | Male | 2166 | 0 | 1 | 0 | 0 | 1 | Single | 2166 | 10 | ||||||
| 3 | Male | 5869 | 0 | 1 | 0 | 0 | 1 | Single | 5869 | 8 | ||||||
| 4 | Female | 8008 | 0 | 0 | 1 | 0 | 0 | Married | 8008 | 9 | ||||||
| 1 | Male | 5206 | 0 | 0 | 0 | 0 | 1 | Divorced | 5206 | 7 | ||||||
| 3 | Male | 5295 | 0 | 1 | 0 | 0 | 1 | Married | 5295 | 7 | ||||||
| 4 | Female | 16413 | 0 | 0 | 1 | 0 | 0 | Married | 16413 | 27 | ||||||
| 5 | Female | 13269 | 0 | 0 | 0 | 1 | 0 | Divorced | 13269 | 19 | ||||||
| 3 | Female | 2783 | 0 | 1 | 0 | 0 | 0 | Single | 2783 | 2 | ||||||
| 3 | Female | 5433 | 0 | 1 | 0 | 0 | 0 | Divorced | 5433 | 11 | ||||||
| 3 | Male | 2013 | 0 | 1 | 0 | 0 | 1 | Single | 2013 | 15 | ||||||
| 1 | Female | 13966 | 0 | 0 | 0 | 0 | 0 | Married | 13966 | 30 | ||||||
| 4 | Female | 4374 | 0 | 0 | 1 | 0 | 0 | Married | 4374 | 4 | ||||||
| 2 | Male | 6842 | 1 | 0 | 0 | 0 | 1 | Divorced | 6842 | 13 | ||||||
| 5 | Female | 17426 | 0 | 0 | 0 | 1 | 0 | Married | 17426 | 36 | ||||||
| 2 | Male | 17603 | 1 | 0 | 0 | 0 | 1 | Married | 17603 | 14 | ||||||
| 4 | Male | 4581 | 0 | 0 | 1 | 0 | 1 | Single | 4581 | 13 | ||||||
| 3 | Male | 4735 | 0 | 1 | 0 | 0 | 1 | Married | 4735 | 19 | ||||||
| 3 | Male | 4187 | 0 | 1 | 0 | 0 | 1 | Divorced | 4187 | 10 | ||||||
| 4 | Male | 5505 | 0 | 0 | 1 | 0 | 1 | Divorced | 5505 | 6 | ||||||
| 3 | Male | 5470 | 0 | 1 | 0 | 0 | 1 | Divorced | 5470 | 10 | ||||||
| 4 | Female | 5476 | 0 | 0 | 1 | 0 | 0 | Married | 5476 | 10 | ||||||
| 3 | Female | 2587 | 0 | 1 | 0 | 0 | 0 | Divorced | 2587 | 17 | ||||||
| 3 | Female | 2440 | 0 | 1 | 0 | 0 | 0 | Single | 2440 | 4 | ||||||
| 4 | Female | 15972 | 0 | 0 | 1 | 0 | 0 | Divorced | 15972 | 29 | ||||||
| 3 | Male | 15379 | 0 | 1 | 0 | 0 | 1 | Single | 15379 | 23 | ||||||
| 2 | Male | 7082 | 1 | 0 | 0 | 0 | 1 | Single | 7082 | 21 | ||||||
| 1 | Male | 2728 | 0 | 0 | 0 | 0 | 1 | Single | 2728 | 2 | ||||||
| 3 | Female | 5368 | 0 | 1 | 0 | 0 | 0 | Divorced | 5368 | 7 | ||||||
| 4 | Male | 5347 | 0 | 0 | 1 | 0 | 1 | Married | 5347 | 10 | ||||||
| 3 | Female | 3195 | 0 | 1 | 0 | 0 | 0 | Divorced | 3195 | 8 | ||||||
| 1 | Male | 3989 | 0 | 0 | 0 | 0 | 1 | Single | 3989 | 5 | ||||||
| 2 | Female | 3306 | 1 | 0 | 0 | 0 | 0 | Married | 3306 | 7 | ||||||
| 4 | Male | 7005 | 0 | 0 | 1 | 0 | 1 | Married | 7005 | 11 | ||||||
| 2 | Female | 2655 | 1 | 0 | 0 | 0 | 0 | Married | 2655 | 19 | ||||||
| 4 | Male | 1393 | 0 | 0 | 1 | 0 | 1 | Single | 1393 | 1 | ||||||
| 3 | Male | 2570 | 0 | 1 | 0 | 0 | 1 | Single | 2570 | 7 | ||||||
| 3 | Male | 3537 | 0 | 1 | 0 | 0 | 1 | Divorced | 3537 | 8 | ||||||
| 2 | Male | 3986 | 1 | 0 | 0 | 0 | 1 | Married | 3986 | 15 | ||||||
| 4 | Male | 10883 | 0 | 0 | 1 | 0 | 1 | Divorced | 10883 | 19 | ||||||
| 3 | Male | 2028 | 0 | 1 | 0 | 0 | 1 | Married | 2028 | 14 | ||||||
| 4 | Male | 9525 | 0 | 0 | 1 | 0 | 1 | Divorced | 9525 | 6 | ||||||
| 3 | Female | 2929 | 0 | 1 | 0 | 0 | 0 | Married | 2929 | 10 | ||||||
| 3 | Male | 2275 | 0 | 1 | 0 | 0 | 1 | Divorced | 2275 | 3 | ||||||
| 3 | Female | 7879 | 0 | 1 | 0 | 0 | 0 | Married | 7879 | 9 | ||||||
| 4 | Male | 4930 | 0 | 0 | 1 | 0 | 1 | Single | 4930 | 6 | ||||||
| 3 | Male | 7847 | 0 | 1 | 0 | 0 | 1 | Married | 7847 | 10 | ||||||
| 3 | Male | 4401 | 0 | 1 | 0 | 0 | 1 | Married | 4401 | 5 | ||||||
| 3 | Male | 9241 | 0 | 1 | 0 | 0 | 1 | Single | 9241 | 10 | ||||||
| 4 | Female | 2974 | 0 | 0 | 1 | 0 | 0 | Married | 2974 | 9 | ||||||
| 4 | Female | 4502 | 0 | 0 | 1 | 0 | 0 | Single | 4502 | 17 | ||||||
| 1 | Male | 10748 | 0 | 0 | 0 | 0 | 1 | Married | 10748 | 25 | ||||||
| 1 | Male | 1555 | 0 | 0 | 0 | 0 | 1 | Married | 1555 | 1 | ||||||
| 3 | Male | 12936 | 0 | 1 | 0 | 0 | 1 | Married | 12936 | 25 | ||||||
| 4 | Male | 2305 | 0 | 0 | 1 | 0 | 1 | Married | 2305 | 3 | ||||||
| 2 | Female | 16704 | 1 | 0 | 0 | 0 | 0 | Single | 16704 | 21 | ||||||
| 3 | Male | 3433 | 0 | 1 | 0 | 0 | 1 | Married | 3433 | 10 | ||||||
| 4 | Male | 3477 | 0 | 0 | 1 | 0 | 1 | Married | 3477 | 6 | ||||||
| 3 | Male | 6430 | 0 | 1 | 0 | 0 | 1 | Married | 6430 | 10 | ||||||
| 2 | Female | 6516 | 1 | 0 | 0 | 0 | 0 | Married | 6516 | 18 | ||||||
| 1 | Male | 3907 | 0 | 0 | 0 | 0 | 1 | Divorced | 3907 | 6 | ||||||
| 4 | Male | 5562 | 0 | 0 | 1 | 0 | 1 | Single | 5562 | 19 | ||||||
| 4 | Male | 6883 | 0 | 0 | 1 | 0 | 1 | Married | 6883 | 17 | ||||||
| 1 | Male | 2862 | 0 | 0 | 0 | 0 | 1 | Married | 2862 | 10 | ||||||
| 4 | Male | 4978 | 0 | 0 | 1 | 0 | 1 | Married | 4978 | 4 | ||||||
| 3 | Male | 10368 | 0 | 1 | 0 | 0 | 1 | Divorced | 10368 | 13 | ||||||
| 5 | Male | 6134 | 0 | 0 | 0 | 1 | 1 | Divorced | 6134 | 16 | ||||||
| 2 | Male | 6735 | 1 | 0 | 0 | 0 | 1 | Single | 6735 | 10 | ||||||
| 1 | Female | 3295 | 0 | 0 | 0 | 0 | 0 | Single | 3295 | 3 | ||||||
| 1 | Female | 5238 | 0 | 0 | 0 | 0 | 0 | Single | 5238 | 9 | ||||||
| 3 | Male | 6472 | 0 | 1 | 0 | 0 | 1 | Married | 6472 | 9 | ||||||
| 3 | Male | 9610 | 0 | 1 | 0 | 0 | 1 | Married | 9610 | 10 | ||||||
| 4 | Male | 19833 | 0 | 0 | 1 | 0 | 1 | Single | 19833 | 21 | ||||||
| 3 | Female | 9756 | 0 | 1 | 0 | 0 | 0 | Married | 9756 | 9 | ||||||
| 4 | Female | 4968 | 0 | 0 | 1 | 0 | 0 | Single | 4968 | 10 | ||||||
| 3 | Male | 2145 | 0 | 1 | 0 | 0 | 1 | Married | 2145 | 3 | ||||||
| 3 | Female | 2180 | 0 | 1 | 0 | 0 | 0 | Divorced | 2180 | 6 | ||||||
| 3 | Male | 8346 | 0 | 1 | 0 | 0 | 1 | Married | 8346 | 6 | ||||||
| 3 | Female | 3445 | 0 | 1 | 0 | 0 | 0 | Single | 3445 | 6 | ||||||
| 3 | Female | 2760 | 0 | 1 | 0 | 0 | 0 | Single | 2760 | 2 | ||||||
| 3 | Male | 6294 | 0 | 1 | 0 | 0 | 1 | Single | 6294 | 10 | ||||||
| 2 | Male | 7140 | 1 | 0 | 0 | 0 | 1 | Divorced | 7140 | 12 | ||||||
| 4 | Male | 2932 | 0 | 0 | 1 | 0 | 1 | Married | 2932 | 6 | ||||||
| 3 | Female | 5147 | 0 | 1 | 0 | 0 | 0 | Single | 5147 | 13 | ||||||
| 4 | Female | 4507 | 0 | 0 | 1 | 0 | 0 | Single | 4507 | 8 | ||||||
| 3 | Female | 8564 | 0 | 1 | 0 | 0 | 0 | Single | 8564 | 11 | ||||||
| 2 | Female | 2468 | 1 | 0 | 0 | 0 | 0 | Married | 2468 | 9 | ||||||
| 4 | Male | 8161 | 0 | 0 | 1 | 0 | 1 | Married | 8161 | 10 | ||||||
| 3 | Female | 2109 | 0 | 1 | 0 | 0 | 0 | Divorced | 2109 | 1 | ||||||
| 3 | Male | 5294 | 0 | 1 | 0 | 0 | 1 | Married | 5294 | 10 | ||||||
| 4 | Male | 2718 | 0 | 0 | 1 | 0 | 1 | Single | 2718 | 12 | ||||||
| 3 | Male | 5811 | 0 | 1 | 0 | 0 | 1 | Married | 5811 | 15 | ||||||
| 3 | Male | 2437 | 0 | 1 | 0 | 0 | 1 | Married | 2437 | 6 | ||||||
| 3 | Male | 2766 | 0 | 1 | 0 | 0 | 1 | Divorced | 2766 | 7 | ||||||
| 3 | Male | 19038 | 0 | 1 | 0 | 0 | 1 | Married | 19038 | 34 | ||||||
| 3 | Male | 3055 | 0 | 1 | 0 | 0 | 1 | Divorced | 3055 | 11 | ||||||
| 4 | Male | 2289 | 0 | 0 | 1 | 0 | 1 | Divorced | 2289 | 5 | ||||||
| 3 | Male | 4001 | 0 | 1 | 0 | 0 | 1 | Divorced | 4001 | 15 | ||||||
| 4 | Female | 12965 | 0 | 0 | 1 | 0 | 0 | Married | 12965 | 27 | ||||||
| 3 | Male | 3539 | 0 | 1 | 0 | 0 | 1 | Single | 3539 | 10 | ||||||
| 2 | Female | 6029 | 1 | 0 | 0 | 0 | 0 | Single | 6029 | 6 | ||||||
| 1 | Male | 2679 | 0 | 0 | 0 | 0 | 1 | Single | 2679 | 1 | ||||||
| 2 | Female | 3702 | 1 | 0 | 0 | 0 | 0 | Married | 3702 | 5 | ||||||
| 1 | Female | 2398 | 0 | 0 | 0 | 0 | 0 | Married | 2398 | 1 | ||||||
| 4 | Female | 5468 | 0 | 0 | 1 | 0 | 0 | Married | 5468 | 13 | ||||||
| 3 | Female | 13116 | 0 | 1 | 0 | 0 | 0 | Married | 13116 | 15 | ||||||
| 2 | Male | 4189 | 1 | 0 | 0 | 0 | 1 | Married | 4189 | 5 | ||||||
| 4 | Male | 19328 | 0 | 0 | 1 | 0 | 1 | Divorced | 19328 | 24 | ||||||
| 3 | Male | 8321 | 0 | 1 | 0 | 0 | 1 | Married | 8321 | 15 | ||||||
| 2 | Male | 2342 | 1 | 0 | 0 | 0 | 1 | Divorced | 2342 | 6 | ||||||
| 2 | Male | 4071 | 1 | 0 | 0 | 0 | 1 | Divorced | 4071 | 19 | ||||||
| 3 | Male | 5813 | 0 | 1 | 0 | 0 | 1 | Single | 5813 | 10 | ||||||
| 4 | Male | 3143 | 0 | 0 | 1 | 0 | 1 | Married | 3143 | 14 | ||||||
| 3 | Male | 2044 | 0 | 1 | 0 | 0 | 1 | Married | 2044 | 5 | ||||||
| 1 | Male | 13464 | 0 | 0 | 0 | 0 | 1 | Single | 13464 | 9 | ||||||
| 2 | Male | 7991 | 1 | 0 | 0 | 0 | 1 | Single | 7991 | 6 | ||||||
| 2 | Female | 3377 | 1 | 0 | 0 | 0 | 0 | Married | 3377 | 7 | ||||||
| 3 | Male | 5538 | 0 | 1 | 0 | 0 | 1 | Married | 5538 | 10 | ||||||
| 2 | Male | 5762 | 1 | 0 | 0 | 0 | 1 | Divorced | 5762 | 15 | ||||||
| 3 | Male | 2592 | 0 | 1 | 0 | 0 | 1 | Divorced | 2592 | 13 | ||||||
| 4 | Male | 5346 | 0 | 0 | 1 | 0 | 1 | Married | 5346 | 11 | ||||||
| 4 | Male | 4213 | 0 | 0 | 1 | 0 | 1 | Single | 4213 | 10 | ||||||
| 3 | Male | 4127 | 0 | 1 | 0 | 0 | 1 | Divorced | 4127 | 7 | ||||||
| 3 | Male | 2438 | 0 | 1 | 0 | 0 | 1 | Single | 2438 | 7 | ||||||
| 3 | Male | 6870 | 0 | 1 | 0 | 0 | 1 | Single | 6870 | 11 | ||||||
| 1 | Female | 10447 | 0 | 0 | 0 | 0 | 0 | Divorced | 10447 | 23 | ||||||
| 3 | Female | 9667 | 0 | 1 | 0 | 0 | 0 | Single | 9667 | 9 | ||||||
| 2 | Female | 2148 | 1 | 0 | 0 | 0 | 0 | Married | 2148 | 6 | ||||||
| 2 | Female | 8926 | 1 | 0 | 0 | 0 | 0 | Married | 8926 | 13 | ||||||
| 3 | Female | 6513 | 0 | 1 | 0 | 0 | 0 | Divorced | 6513 | 12 | ||||||
| 2 | Male | 6799 | 1 | 0 | 0 | 0 | 1 | Married | 6799 | 10 | ||||||
| 3 | Male | 16291 | 0 | 1 | 0 | 0 | 1 | Divorced | 16291 | 37 | ||||||
| 4 | Male | 2705 | 0 | 0 | 1 | 0 | 1 | Married | 2705 | 6 | ||||||
| 3 | Female | 10333 | 0 | 1 | 0 | 0 | 0 | Divorced | 10333 | 28 | ||||||
| 3 | Female | 4448 | 0 | 1 | 0 | 0 | 0 | Divorced | 4448 | 15 | ||||||
| 4 | Female | 6854 | 0 | 0 | 1 | 0 | 0 | Married | 6854 | 14 | ||||||
| 4 | Female | 9637 | 0 | 0 | 1 | 0 | 0 | Married | 9637 | 9 | ||||||
| 3 | Female | 3591 | 0 | 1 | 0 | 0 | 0 | Married | 3591 | 3 | ||||||
| 4 | Female | 5405 | 0 | 0 | 1 | 0 | 0 | Married | 5405 | 20 | ||||||
| 3 | Male | 4684 | 0 | 1 | 0 | 0 | 1 | Single | 4684 | 5 | ||||||
| 4 | Male | 15787 | 0 | 0 | 1 | 0 | 1 | Married | 15787 | 23 | ||||||
| 3 | Female | 1514 | 0 | 1 | 0 | 0 | 0 | Single | 1514 | 0 | ||||||
| 5 | Male | 2956 | 0 | 0 | 0 | 1 | 1 | Married | 2956 | 2 | ||||||
| 3 | Male | 2335 | 0 | 1 | 0 | 0 | 1 | Divorced | 2335 | 4 | ||||||
| 4 | Female | 5154 | 0 | 0 | 1 | 0 | 0 | Married | 5154 | 10 | ||||||
| 4 | Female | 6962 | 0 | 0 | 1 | 0 | 0 | Married | 6962 | 15 | ||||||
| 4 | Male | 5675 | 0 | 0 | 1 | 0 | 1 | Married | 5675 | 7 | ||||||
| 2 | Female | 2379 | 1 | 0 | 0 | 0 | 0 | Single | 2379 | 6 | ||||||
| 1 | Male | 3812 | 0 | 0 | 0 | 0 | 1 | Married | 3812 | 11 | ||||||
| 4 | Male | 4648 | 0 | 0 | 1 | 0 | 1 | Single | 4648 | 4 | ||||||
| 4 | Male | 2936 | 0 | 0 | 1 | 0 | 1 | Married | 2936 | 10 | ||||||
| 4 | Female | 2105 | 0 | 0 | 1 | 0 | 0 | Single | 2105 | 7 | ||||||
| 2 | Male | 8578 | 1 | 0 | 0 | 0 | 1 | Divorced | 8578 | 12 | ||||||
| 2 | Male | 2706 | 1 | 0 | 0 | 0 | 1 | Divorced | 2706 | 3 | ||||||
| 1 | Male | 6384 | 0 | 0 | 0 | 0 | 1 | Divorced | 6384 | 11 | ||||||
| 3 | Male | 3968 | 0 | 1 | 0 | 0 | 1 | Single | 3968 | 8 | ||||||
| 4 | Male | 9907 | 0 | 0 | 1 | 0 | 1 | Single | 9907 | 7 | ||||||
| 3 | Female | 13225 | 0 | 1 | 0 | 0 | 0 | Divorced | 13225 | 25 | ||||||
| 1 | Female | 3540 | 0 | 0 | 0 | 0 | 0 | Married | 3540 | 9 | ||||||
| 1 | Male | 2804 | 0 | 0 | 0 | 0 | 1 | Married | 2804 | 1 | ||||||
| 3 | Female | 19392 | 0 | 1 | 0 | 0 | 0 | Married | 19392 | 21 | ||||||
| 3 | Male | 19665 | 0 | 1 | 0 | 0 | 1 | Married | 19665 | 29 | ||||||
| 2 | Male | 2439 | 1 | 0 | 0 | 0 | 1 | Single | 2439 | 1 | ||||||
| 3 | Female | 7314 | 0 | 1 | 0 | 0 | 0 | Married | 7314 | 14 | ||||||
| 3 | Female | 4774 | 0 | 1 | 0 | 0 | 0 | Married | 4774 | 8 | ||||||
| 4 | Male | 3902 | 0 | 0 | 1 | 0 | 1 | Divorced | 3902 | 7 | ||||||
| 4 | Male | 2662 | 0 | 0 | 1 | 0 | 1 | Married | 2662 | 19 | ||||||
| 3 | Female | 2856 | 0 | 1 | 0 | 0 | 0 | Married | 2856 | 1 | ||||||
| 3 | Male | 1081 | 0 | 1 | 0 | 0 | 1 | Single | 1081 | 1 | ||||||
| 1 | Male | 2472 | 0 | 0 | 0 | 0 | 1 | Single | 2472 | 1 | ||||||
| 4 | Female | 5673 | 0 | 0 | 1 | 0 | 0 | Married | 5673 | 10 | ||||||
| 3 | Male | 4197 | 0 | 1 | 0 | 0 | 1 | Divorced | 4197 | 10 | ||||||
| 3 | Male | 9713 | 0 | 1 | 0 | 0 | 1 | Married | 9713 | 9 | ||||||
| 3 | Male | 2062 | 0 | 1 | 0 | 0 | 1 | Single | 2062 | 11 | ||||||
| 4 | Male | 4284 | 0 | 0 | 1 | 0 | 1 | Married | 4284 | 16 | ||||||
| 2 | Female | 4788 | 1 | 0 | 0 | 0 | 0 | Married | 4788 | 4 | ||||||
| 2 | Female | 5906 | 1 | 0 | 0 | 0 | 0 | Married | 5906 | 10 | ||||||
| 1 | Male | 3886 | 0 | 0 | 0 | 0 | 1 | Single | 3886 | 10 | ||||||
| 4 | Male | 16823 | 0 | 0 | 1 | 0 | 1 | Divorced | 16823 | 22 | ||||||
| 2 | Female | 2933 | 1 | 0 | 0 | 0 | 0 | Married | 2933 | 1 | ||||||
| 2 | Female | 6500 | 1 | 0 | 0 | 0 | 0 | Single | 6500 | 9 | ||||||
| 3 | Female | 17174 | 0 | 1 | 0 | 0 | 0 | Divorced | 17174 | 24 | ||||||
| 4 | Male | 5033 | 0 | 0 | 1 | 0 | 1 | Married | 5033 | 10 | ||||||
| 4 | Male | 2307 | 0 | 0 | 1 | 0 | 1 | Married | 2307 | 5 | ||||||
| 2 | Male | 2587 | 1 | 0 | 0 | 0 | 1 | Single | 2587 | 5 | ||||||
| 2 | Male | 5507 | 1 | 0 | 0 | 0 | 1 | Married | 5507 | 12 | ||||||
| 3 | Female | 4393 | 0 | 1 | 0 | 0 | 0 | Married | 4393 | 14 | ||||||
| 3 | Male | 13348 | 0 | 1 | 0 | 0 | 1 | Married | 13348 | 18 | ||||||
| 2 | Female | 6583 | 1 | 0 | 0 | 0 | 0 | Divorced | 6583 | 8 | ||||||
| 1 | Female | 8103 | 0 | 0 | 0 | 0 | 0 | Married | 8103 | 9 | ||||||
| 3 | Female | 3978 | 0 | 1 | 0 | 0 | 0 | Divorced | 3978 | 4 | ||||||
| 3 | Male | 2544 | 0 | 1 | 0 | 0 | 1 | Married | 2544 | 8 | ||||||
| 4 | Male | 5399 | 0 | 0 | 1 | 0 | 1 | Single | 5399 | 12 | ||||||
| 4 | Male | 5487 | 0 | 0 | 1 | 0 | 1 | Single | 5487 | 10 | ||||||
| 2 | Male | 6834 | 1 | 0 | 0 | 0 | 1 | Married | 6834 | 7 | ||||||
| 3 | Male | 1091 | 0 | 1 | 0 | 0 | 1 | Single | 1091 | 1 | ||||||
| 4 | Female | 5736 | 0 | 0 | 1 | 0 | 0 | Married | 5736 | 10 | ||||||
| 4 | Male | 2226 | 0 | 0 | 1 | 0 | 1 | Married | 2226 | 6 | ||||||
| 4 | Male | 5747 | 0 | 0 | 1 | 0 | 1 | Married | 5747 | 16 | ||||||
| 2 | Female | 9854 | 1 | 0 | 0 | 0 | 0 | Single | 9854 | 6 | ||||||
| 4 | Male | 5467 | 0 | 0 | 1 | 0 | 1 | Married | 5467 | 16 | ||||||
| 5 | Female | 5380 | 0 | 0 | 0 | 1 | 0 | Married | 5380 | 6 | ||||||
| 2 | Male | 5151 | 1 | 0 | 0 | 0 | 1 | Married | 5151 | 10 | ||||||
| 3 | Female | 2133 | 0 | 1 | 0 | 0 | 0 | Divorced | 2133 | 20 | ||||||
| 3 | Female | 17875 | 0 | 1 | 0 | 0 | 0 | Married | 17875 | 29 | ||||||
| 2 | Female | 2432 | 1 | 0 | 0 | 0 | 0 | Single | 2432 | 8 | ||||||
| 2 | Male | 4771 | 1 | 0 | 0 | 0 | 1 | Divorced | 4771 | 10 | ||||||
| 1 | Male | 19161 | 0 | 0 | 0 | 0 | 1 | Married | 19161 | 28 | ||||||
| 4 | Male | 5087 | 0 | 0 | 1 | 0 | 1 | Divorced | 5087 | 14 | ||||||
| 3 | Female | 2863 | 0 | 1 | 0 | 0 | 0 | Married | 2863 | 1 | ||||||
| 4 | Male | 5561 | 0 | 0 | 1 | 0 | 1 | Married | 5561 | 6 | ||||||
| 3 | Male | 2144 | 0 | 1 | 0 | 0 | 1 | Single | 2144 | 5 | ||||||
| 2 | Male | 3065 | 1 | 0 | 0 | 0 | 1 | Divorced | 3065 | 4 | ||||||
| 4 | Male | 2810 | 0 | 0 | 1 | 0 | 1 | Married | 2810 | 5 | ||||||
| 3 | Male | 9888 | 0 | 1 | 0 | 0 | 1 | Single | 9888 | 14 | ||||||
| 4 | Male | 8628 | 0 | 0 | 1 | 0 | 1 | Divorced | 8628 | 9 | ||||||
| 3 | Male | 2867 | 0 | 1 | 0 | 0 | 1 | Single | 2867 | 8 | ||||||
| 3 | Male | 5373 | 0 | 1 | 0 | 0 | 1 | Married | 5373 | 6 | ||||||
| 4 | Female | 6667 | 0 | 0 | 1 | 0 | 0 | Divorced | 6667 | 9 | ||||||
| 3 | Male | 5003 | 0 | 1 | 0 | 0 | 1 | Married | 5003 | 10 | ||||||
| 3 | Male | 2367 | 0 | 1 | 0 | 0 | 1 | Divorced | 2367 | 6 | ||||||
| 3 | Male | 2858 | 0 | 1 | 0 | 0 | 1 | Single | 2858 | 20 | ||||||
| 4 | Female | 5204 | 0 | 0 | 1 | 0 | 0 | Married | 5204 | 10 | ||||||
| 3 | Male | 4105 | 0 | 1 | 0 | 0 | 1 | Single | 4105 | 7 | ||||||
| 4 | Male | 9679 | 0 | 0 | 1 | 0 | 1 | Single | 9679 | 8 | ||||||
| 4 | Male | 5617 | 0 | 0 | 1 | 0 | 1 | Married | 5617 | 10 | ||||||
| 4 | Male | 10448 | 0 | 0 | 1 | 0 | 1 | Single | 10448 | 15 | ||||||
| 2 | Female | 2897 | 1 | 0 | 0 | 0 | 0 | Married | 2897 | 9 | ||||||
| 2 | Male | 5968 | 1 | 0 | 0 | 0 | 1 | Divorced | 5968 | 9 | ||||||
| 3 | Male | 7510 | 0 | 1 | 0 | 0 | 1 | Married | 7510 | 10 | ||||||
| 4 | Male | 2991 | 0 | 0 | 1 | 0 | 1 | Married | 2991 | 7 | ||||||
| 4 | Male | 19636 | 0 | 0 | 1 | 0 | 1 | Married | 19636 | 35 | ||||||
| 1 | Female | 1129 | 0 | 0 | 0 | 0 | 0 | Divorced | 1129 | 1 | ||||||
| 4 | Male | 13341 | 0 | 0 | 1 | 0 | 1 | Single | 13341 | 21 | ||||||
| 2 | Male | 4332 | 1 | 0 | 0 | 0 | 1 | Single | 4332 | 20 | ||||||
| 3 | Female | 11031 | 0 | 1 | 0 | 0 | 0 | Married | 11031 | 13 | ||||||
| 3 | Female | 4440 | 0 | 1 | 0 | 0 | 0 | Single | 4440 | 9 | ||||||
| 2 | Male | 4617 | 1 | 0 | 0 | 0 | 1 | Single | 4617 | 4 | ||||||
| 2 | Male | 2647 | 1 | 0 | 0 | 0 | 1 | Single | 2647 | 5 | ||||||
| 3 | Female | 6323 | 0 | 1 | 0 | 0 | 0 | Married | 6323 | 10 | ||||||
| 2 | Female | 5677 | 1 | 0 | 0 | 0 | 0 | Married | 5677 | 15 | ||||||
| 3 | Female | 2187 | 0 | 1 | 0 | 0 | 0 | Married | 2187 | 6 | ||||||
| 2 | Male | 3748 | 1 | 0 | 0 | 0 | 1 | Married | 3748 | 12 | ||||||
| 1 | Male | 3977 | 0 | 0 | 0 | 0 | 1 | Divorced | 3977 | 7 | ||||||
| 3 | Male | 8633 | 0 | 1 | 0 | 0 | 1 | Single | 8633 | 25 | ||||||
| 2 | Male | 2008 | 1 | 0 | 0 | 0 | 1 | Divorced | 2008 | 1 | ||||||
| 4 | Male | 4440 | 0 | 0 | 1 | 0 | 1 | Married | 4440 | 16 | ||||||
| 2 | Male | 3067 | 1 | 0 | 0 | 0 | 1 | Married | 3067 | 3 | ||||||
| 4 | Male | 5321 | 0 | 0 | 1 | 0 | 1 | Married | 5321 | 10 | ||||||
| 4 | Male | 5410 | 0 | 0 | 1 | 0 | 1 | Divorced | 5410 | 9 | ||||||
| 3 | Male | 2782 | 0 | 1 | 0 | 0 | 1 | Married | 2782 | 12 | ||||||
| 1 | Female | 11957 | 0 | 0 | 0 | 0 | 0 | Married | 11957 | 14 | ||||||
| 4 | Male | 2660 | 0 | 0 | 1 | 0 | 1 | Married | 2660 | 5 | ||||||
| 2 | Male | 3375 | 1 | 0 | 0 | 0 | 1 | Single | 3375 | 4 | ||||||
| 4 | Male | 5098 | 0 | 0 | 1 | 0 | 1 | Single | 5098 | 10 | ||||||
| 2 | Female | 4878 | 1 | 0 | 0 | 0 | 0 | Married | 4878 | 10 | ||||||
| 4 | Female | 2837 | 0 | 0 | 1 | 0 | 0 | Single | 2837 | 6 | ||||||
| 4 | Male | 2406 | 0 | 0 | 1 | 0 | 1 | Married | 2406 | 8 | ||||||
| 4 | Male | 2269 | 0 | 0 | 1 | 0 | 1 | Married | 2269 | 3 | ||||||
| 1 | Male | 4108 | 0 | 0 | 0 | 0 | 1 | Single | 4108 | 18 | ||||||
| 3 | Female | 13206 | 0 | 1 | 0 | 0 | 0 | Married | 13206 | 20 | ||||||
| 4 | Female | 10422 | 0 | 0 | 1 | 0 | 0 | Married | 10422 | 14 | ||||||
| 3 | Female | 13744 | 0 | 1 | 0 | 0 | 0 | Married | 13744 | 16 | ||||||
| 2 | Female | 4907 | 1 | 0 | 0 | 0 | 0 | Divorced | 4907 | 6 | ||||||
| 4 | Male | 3482 | 0 | 0 | 1 | 0 | 1 | Divorced | 3482 | 16 | ||||||
| 3 | Male | 2436 | 0 | 1 | 0 | 0 | 1 | Single | 2436 | 6 | ||||||
| 1 | Male | 2380 | 0 | 0 | 0 | 0 | 1 | Single | 2380 | 2 | ||||||
| 3 | Male | 19431 | 0 | 1 | 0 | 0 | 1 | Single | 19431 | 21 | ||||||
| 3 | Male | 1790 | 0 | 1 | 0 | 0 | 1 | Married | 1790 | 1 | ||||||
| 3 | Female | 7644 | 0 | 1 | 0 | 0 | 0 | Married | 7644 | 10 | ||||||
| 2 | Female | 5131 | 1 | 0 | 0 | 0 | 0 | Divorced | 5131 | 18 | ||||||
| 4 | Male | 6306 | 0 | 0 | 1 | 0 | 1 | Divorced | 6306 | 13 | ||||||
| 4 | Male | 4787 | 0 | 0 | 1 | 0 | 1 | Married | 4787 | 4 | ||||||
| 3 | Male | 18880 | 0 | 1 | 0 | 0 | 1 | Married | 18880 | 24 | ||||||
| 2 | Male | 2339 | 1 | 0 | 0 | 0 | 1 | Married | 2339 | 14 | ||||||
| 4 | Female | 13570 | 0 | 0 | 1 | 0 | 0 | Married | 13570 | 21 | ||||||
| 3 | Female | 6712 | 0 | 1 | 0 | 0 | 0 | Married | 6712 | 8 | ||||||
| 4 | Male | 5406 | 0 | 0 | 1 | 0 | 1 | Divorced | 5406 | 15 | ||||||
| 3 | Male | 8938 | 0 | 1 | 0 | 0 | 1 | Divorced | 8938 | 14 | ||||||
| 3 | Male | 2439 | 0 | 1 | 0 | 0 | 1 | Single | 2439 | 4 | ||||||
| 4 | Female | 8837 | 0 | 0 | 1 | 0 | 0 | Single | 8837 | 9 | ||||||
| 2 | Female | 5343 | 1 | 0 | 0 | 0 | 0 | Married | 5343 | 10 | ||||||
| 4 | Male | 6728 | 0 | 0 | 1 | 0 | 1 | Divorced | 6728 | 12 | ||||||
| 4 | Female | 6652 | 0 | 0 | 1 | 0 | 0 | Married | 6652 | 8 | ||||||
| 3 | Female | 4850 | 0 | 1 | 0 | 0 | 0 | Single | 4850 | 8 | ||||||
| 4 | Male | 2809 | 0 | 0 | 1 | 0 | 1 | Single | 2809 | 8 | ||||||
| 4 | Male | 5689 | 0 | 0 | 1 | 0 | 1 | Married | 5689 | 10 | ||||||
| 4 | Female | 2001 | 0 | 0 | 1 | 0 | 0 | Married | 2001 | 20 | ||||||
| 4 | Female | 2977 | 0 | 0 | 1 | 0 | 0 | Married | 2977 | 4 | ||||||
| 2 | Male | 4025 | 1 | 0 | 0 | 0 | 1 | Married | 4025 | 10 | ||||||
| 4 | Female | 3785 | 0 | 0 | 1 | 0 | 0 | Single | 3785 | 5 | ||||||
| 3 | Male | 10854 | 0 | 1 | 0 | 0 | 1 | Divorced | 10854 | 20 | ||||||
| 1 | Female | 12031 | 0 | 0 | 0 | 0 | 0 | Married | 12031 | 21 | ||||||
| 3 | Male | 9936 | 0 | 1 | 0 | 0 | 1 | Single | 9936 | 10 | ||||||
| 3 | Female | 2966 | 0 | 1 | 0 | 0 | 0 | Single | 2966 | 5 | ||||||
| 2 | Male | 2571 | 1 | 0 | 0 | 0 | 1 | Married | 2571 | 17 | ||||||
| 1 | Male | 9991 | 0 | 0 | 0 | 0 | 1 | Married | 9991 | 9 | ||||||
| 3 | Male | 6142 | 0 | 1 | 0 | 0 | 1 | Married | 6142 | 6 | ||||||
| 3 | Male | 5390 | 0 | 1 | 0 | 0 | 1 | Married | 5390 | 17 | ||||||
| 3 | Male | 4404 | 0 | 1 | 0 | 0 | 1 | Married | 4404 | 6 |
