The Company X is a well know travel agengy. The HR Director has recently noticed an increase in employees leaving (attrition). She would like to figure out any trends or patterns. She has surveyed the staff of Company X and provided me the data.
She would like to know what the attrition rate is (% of people who have left).
She would also like to know if factors like age, years at the company and income play a part in determining if people will leave or not.
The patterns that I found out using python indicates a lower Attrition Rate
but most common in employees who have Gender Male, are Single and Travel Rarely.
The Decision Tree highlights other sources:
Although the Decision Tree accuracy is not bad, it is not enough to analyze the situation, patterns and possibilities for improvement.
So, to help the HR team and the decision makers, I developed a Story available on my Tableau page