Homework $1$: Attrition Case Analysis $-$ Data understanding and Data Preparation

Case Study Description

You have been hired by the IBM human resources department. IBM has been facing problems with employee turnover, so your boss has asked you to analyze turnover in a small sample of employees. Ideally, IBM would like to predict which employees are at high risk of leaving to prevent them from leaving. Your boss, a very busy person, has gone on a business trip without explaining the dataset in detail. Fortunately, your boss left a note on his desk with the basic description of some fields:

Attrition: Whether the employee resigned.

Education: $1$ 'Below College' $2$ 'College' $3$ 'Bachelor' $4$ 'Master' $5$ 'Doctor'

EnvironmentSatisfaction: $1$ 'Low' $2$ 'Medium' $3$ 'High' $4$ 'Very High'

JobInvolvement: $1$ 'Low' $2$ 'Medium' $3$ 'High' $4$ 'Very High'

JobSatisfaction: $1$ 'Low' $2$ 'Medium' $3$ 'High' $4$ 'Very High'

PerformanceRating: $1$ 'Low' $2$ 'Good' $3$ 'Excellent' $4$ 'Outstanding'

RelationshipSatisfaction: $1$ 'Low' $2$ 'Medium' $3$ 'High' $4$ 'Very High'

WorkLifeBalance: $1$ 'Bad' $2$ 'Good' $3$ 'Better' $4$ 'Best'

The note also says that you should analyze the data to answer the questions described below. The following code loads the data left by your boss and lists all the columns.