Data Interview Qs - Data Interview Questions: Problem #68
Employee Attrition
Data Analysis Python Pandas Data Manipulation Correlation Pearson's R External Dataset
The following dataset contains the following fields that describe employee attrition for a company:
- satisfaction_level: value between 0 - 1 that describes how satisfied the employee was at their current role
- last_evaluation: value between 0 - 1 that describes how well the employee performed
- number_project: number of projects the employee was on
- average_montly_hours: average number of hours worked monthly time_spend_company: number of years at the company
- work_accident: boolean for if the employee has been in an accident at work
- left: boolean that describes if the employee has left the company
- role: employee's role
- salary: low, medium, high --> indicates how high employee salary was
Can you describe which factors are the strongest indicator if an employee is going to attrit?
Hint: If you're having trouble finding a starting point, you can reference this method and this wikipedia page.
Click here to view this problem in an interactive Colab (Jupyter) notebook.
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