Combining HR datasets (II)
As per Gallup's research, employees leave managers, not companies. This explains the importance of a manager's role in an employee's commitment to stay in an organization.
Annual engagement surveys captures critical feedback from employees on multiple facets such as manager effectiveness, work satisfaction, performance satisfaction etc.
In this exercise, you will combine survey results to your dataset using mgr_id as the lookup key to compare manager effectiveness scores between Active and Inactive employees.
Cet exercice fait partie du cours
HR Analytics: Predicting Employee Churn in R
Instructions
- Use
glimpse()to view the structure of thesurveydataset. - Left join
surveytoorg3using"mgr_id"as the lookup key. - Generate a box plot to visualize the distribution of
mgr_effectivenessscores forActiveandInactiveemployees.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# View the structure of survey dataset
___
# Complete the code to join survey to org3 dataset
org_final <- ___
# Compare manager effectiveness scores
ggplot(org_final, aes(x = status, y = ___)) +
___