##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hr$left
## hr$Department | 0 | 1 | Row Total |
## --------------|-----------|-----------|-----------|
## accounting | 563 | 204 | 767 |
## | 0.783 | 2.506 | |
## | 0.734 | 0.266 | 0.051 |
## | 0.049 | 0.057 | |
## | 0.038 | 0.014 | |
## --------------|-----------|-----------|-----------|
## hr | 524 | 215 | 739 |
## | 2.709 | 8.670 | |
## | 0.709 | 0.291 | 0.049 |
## | 0.046 | 0.060 | |
## | 0.035 | 0.014 | |
## --------------|-----------|-----------|-----------|
## IT | 954 | 273 | 1227 |
## | 0.391 | 1.252 | |
## | 0.778 | 0.222 | 0.082 |
## | 0.083 | 0.076 | |
## | 0.064 | 0.018 | |
## --------------|-----------|-----------|-----------|
## management | 539 | 91 | 630 |
## | 7.250 | 23.202 | |
## | 0.856 | 0.144 | 0.042 |
## | 0.047 | 0.025 | |
## | 0.036 | 0.006 | |
## --------------|-----------|-----------|-----------|
## marketing | 655 | 203 | 858 |
## | 0.002 | 0.008 | |
## | 0.763 | 0.237 | 0.057 |
## | 0.057 | 0.057 | |
## | 0.044 | 0.014 | |
## --------------|-----------|-----------|-----------|
## product_mng | 704 | 198 | 902 |
## | 0.408 | 1.307 | |
## | 0.780 | 0.220 | 0.060 |
## | 0.062 | 0.055 | |
## | 0.047 | 0.013 | |
## --------------|-----------|-----------|-----------|
## RandD | 666 | 121 | 787 |
## | 7.346 | 23.510 | |
## | 0.846 | 0.154 | 0.052 |
## | 0.058 | 0.034 | |
## | 0.044 | 0.008 | |
## --------------|-----------|-----------|-----------|
## sales | 3126 | 1014 | 4140 |
## | 0.255 | 0.815 | |
## | 0.755 | 0.245 | 0.276 |
## | 0.274 | 0.284 | |
## | 0.208 | 0.068 | |
## --------------|-----------|-----------|-----------|
## support | 1674 | 555 | 2229 |
## | 0.348 | 1.114 | |
## | 0.751 | 0.249 | 0.149 |
## | 0.146 | 0.155 | |
## | 0.112 | 0.037 | |
## --------------|-----------|-----------|-----------|
## technical | 2023 | 697 | 2720 |
## | 1.178 | 3.771 | |
## | 0.744 | 0.256 | 0.181 |
## | 0.177 | 0.195 | |
## | 0.135 | 0.046 | |
## --------------|-----------|-----------|-----------|
## Column Total | 11428 | 3571 | 14999 |
## | 0.762 | 0.238 | |
## --------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 86.82547 d.f. = 9 p = 7.04213e-15
##
##
## There is a dependency between leaving and the department
People leave more or less depending on the department they work in It seems like Management and RandD have much less attrition than the others
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hr$left
## hr$salary | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## high | 1155 | 82 | 1237 |
## | 47.915 | 153.339 | |
## | 0.934 | 0.066 | 0.082 |
## | 0.101 | 0.023 | |
## | 0.077 | 0.005 | |
## -------------|-----------|-----------|-----------|
## low | 5144 | 2172 | 7316 |
## | 33.200 | 106.247 | |
## | 0.703 | 0.297 | 0.488 |
## | 0.450 | 0.608 | |
## | 0.343 | 0.145 | |
## -------------|-----------|-----------|-----------|
## medium | 5129 | 1317 | 6446 |
## | 9.648 | 30.876 | |
## | 0.796 | 0.204 | 0.430 |
## | 0.449 | 0.369 | |
## | 0.342 | 0.088 | |
## -------------|-----------|-----------|-----------|
## Column Total | 11428 | 3571 | 14999 |
## | 0.762 | 0.238 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 381.225 d.f. = 2 p = 1.652087e-83
##
##
## There is a dependency between leaving and salary
People leave more or less depending on their salary level Employees with low salaries have much higher attrition than employees with high salaries
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hr$left
## hr$promotion_last_5years | 0 | 1 | Row Total |
## -------------------------|-----------|-----------|-----------|
## 0 | 11128 | 3552 | 14680 |
## | 0.290 | 0.928 | |
## | 0.758 | 0.242 | 0.979 |
## | 0.974 | 0.995 | |
## | 0.742 | 0.237 | |
## -------------------------|-----------|-----------|-----------|
## 1 | 300 | 19 | 319 |
## | 13.343 | 42.702 | |
## | 0.940 | 0.060 | 0.021 |
## | 0.026 | 0.005 | |
## | 0.020 | 0.001 | |
## -------------------------|-----------|-----------|-----------|
## Column Total | 11428 | 3571 | 14999 |
## | 0.762 | 0.238 | |
## -------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 57.26273 d.f. = 1 p = 3.813123e-14
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 56.26163 d.f. = 1 p = 6.344155e-14
##
## There is a dependency between leaving and promotions
People leave more or less depending on whether or not they were promoted It seems like employees who were not promoted are more likely to leave
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hr$left
## hr$Work_accident | 0 | 1 | Row Total |
## -----------------|-----------|-----------|-----------|
## 0 | 9428 | 3402 | 12830 |
## | 12.346 | 39.510 | |
## | 0.735 | 0.265 | 0.855 |
## | 0.825 | 0.953 | |
## | 0.629 | 0.227 | |
## -----------------|-----------|-----------|-----------|
## 1 | 2000 | 169 | 2169 |
## | 73.029 | 233.709 | |
## | 0.922 | 0.078 | 0.145 |
## | 0.175 | 0.047 | |
## | 0.133 | 0.011 | |
## -----------------|-----------|-----------|-----------|
## Column Total | 11428 | 3571 | 14999 |
## | 0.762 | 0.238 | |
## -----------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 358.5938 d.f. = 1 p = 5.698673e-80
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 357.5624 d.f. = 1 p = 9.55824e-80
##
## There is a dependency between leaving and work accidents
People leave more or less depending on whether or not they have a work accident It seems like employees who did not have accidents are more likely to leave