Exercise

Identifying missing values

Attrition is a critical issue for corporations, as losing an employee implies not only the cost of recruiting and training a new one, but constitutes a loss in tacit knowledge and culture that is hard to recover.

The attritiondataset has information on employee attrition including Age, WorkLifeBalance, DistanceFromHome, StockOptionLevel, and 27 others. Before continuing with your analysis, you want to detect any missing variables.

The package naniar and the attritiondataset are already loaded for you.

Instructions 1/2

50 XP

1
- Explore missing data visually to identify missing values on the attrition data.

2
- Select the variables with missing values and visualize only those.