HR Analytics: Exploring Employee Data in R
Ben Teusch
HR Analytics Consultant
head(pay)
# A tibble: 6 x 5
employee_id department salary new_hire job_level
<int> <chr> <dbl> <chr> <chr>
1 1 Sales 103263.64 No Salaried
2 2 Engineering 80708.64 No Hourly
3 4 Engineering 60737.05 Yes Hourly
4 5 Engineering 99116.32 Yes Salaried
5 7 Engineering 51021.64 No Hourly
6 8 Engineering 98399.87 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()
statistic p.value parameter method
1 25.52441 4.368222e-07 1 Pearson's Chi-squared test ...
chisq.test(survey$in_sales, survey$disengaged) %>%
tidy() %>%
pull(p.value)
4.368222e-07
HR Analytics: Exploring Employee Data in R