HR 分析:用 R 探索員工資料
Ben Teusch
HR Analytics Consultant


head(pay)
# A tibble: 6 × 5
employee_id department salary new_hire job_level
<dbl> <chr> <dbl> <chr> <chr>
1 1 Sales 103264. No Salaried
2 2 Engineering 80709. No Hourly
3 4 Engineering 60737. Yes Hourly
4 5 Engineering 99116. Yes Salaried
5 7 Engineering 51022. No Hourly
6 8 Engineering 98400. No Salaried
chisq.test(survey$in_sales, survey$disengaged)
Pearson's Chi-squared test with Yates' continuity correction
data: survey$in_sales and survey$disengaged
X-squared = 25.524, df = 1, p-value = 4.368e-07
chisq.test(survey$in_sales, survey$disengaged) %>%
tidy()
# A tibble: 1 × 4
statistic p.value parameter method
<dbl> <dbl> <int> <chr>
1 25.5 0.000000437 1 Pearson's Chi-squared test with ...
chisq.test(survey$in_sales, survey$disengaged) %>%
tidy() %>%
pull(p.value)
4.368222e-07
HR 分析:用 R 探索員工資料