## Rows: 14999 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): Department, salary
## dbl (8): satisfaction_level, last_evaluation, number_project, average_montly...
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## Loading required package: ggplot2
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## Pearson's Chi-squared test with Yates' continuity correction
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## data: hr$left and hr$Work_accident
## X-squared = 357.56, df = 1, p-value < 2.2e-16
There is an association between leaving and work accidents, employees with work accidents are less likely to leave.
Employees without a work accident are more than 3 times more likely to leave (0.265 / 0.07)
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## Cell Contents
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## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
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## Total Observations in Table: 14999
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## | hr$promotion_last_5years
## hr$left | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 11128 | 300 | 11428 |
## | 0.290 | 13.343 | |
## | 0.974 | 0.026 | 0.762 |
## | 0.758 | 0.940 | |
## | 0.742 | 0.020 | |
## -------------|-----------|-----------|-----------|
## 1 | 3552 | 19 | 3571 |
## | 0.928 | 42.702 | |
## | 0.995 | 0.005 | 0.238 |
## | 0.242 | 0.060 | |
## | 0.237 | 0.001 | |
## -------------|-----------|-----------|-----------|
## Column Total | 14680 | 319 | 14999 |
## | 0.979 | 0.021 | |
## -------------|-----------|-----------|-----------|
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## Statistics for All Table Factors
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## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 57.26273 d.f. = 1 p = 3.813123e-14
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## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 56.26163 d.f. = 1 p = 6.344155e-14
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There is an association between leaving and promotion in the last 5 years, employees without a promotion in the last 5 years are more likely to leave
Employes without a promotion in the last 5 years are more than 4 times more likely to leave (0.242 / 0.060)
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## Pearson's Chi-squared test
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## data: hr$left and hr$Department
## X-squared = 86.825, df = 9, p-value = 7.042e-15
There is an association between leaving and department, employees in hr are more likely to leave.
Employees in hr are twice as likely to leave than employees in management (0.291 /0.144)
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## Pearson's Chi-squared test
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## data: hr$left and hr$salary
## X-squared = 381.23, df = 2, p-value < 2.2e-16
There is an association between leaving and salaries, employees with low salaries are more likely to leave and employees with high salaries are more likely to stay
Employees with low salaries are 4.5 times more likely to leave than employees with high salaries (0.297 / 0.066.