##
##
## 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 salary level and employee attrition. The p-value is very small, so the results are statistically significant.
Employees with lower salaries are more likely to leave the company.
##
##
## 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 promotion history and employee attrition. The p-value is very small, so the results are statistically significant.
Employees who have not been promoted in the last 5 years 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 work accidents and employee attrition. The p-value is very small, so the results are statistically significant.
Employees who had a work accident are less likely to leave the company.