Employee Attrition Study

#Employee-Attrition-Study

Employee Attrition dataset contains the following fields that describe employee attrition for a company:

  • satisfaction_level: value between 0 - 1 that describes how satisified 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

The goal is to describe which factors are the strongest indicator if an employee is going to attrit

#The-goal-is-to-describe-which-factors-are-the-strongest-indicator-if-an-employee-is-going-to-attrit
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Conclusion

#Conclusion

From above ranked table, we can see "satisfcation_level" is the strongest factor for employee attrition, followed by "Work_accident", "time_spend_company", etc.

It's interesting that the correlation between "salary_low" and employee attrition is postive, meaning for those employee whose salary is low, the higher salary they have, the bigger chance that they'll leave the company.