Proffiosanal Formattingm Grammar, Comprehensiveness, Accuracy. References and Appendices.
statistics
Description
Writing a report of data visualization project:
For the python code:
-reviewing.
- organize the layout,
- before each graph writ a question that is answered by the graph
- make a clear interpretation under each figure.
- Make any changes if needed, to make the project clear.
- checking grouping age,
-make grouping for monthly income
- add the same visualization for JobLevel, and what does it mean?
for the report:
- Try to find more information about the dataset; I attached a document that might help.
- justify clear questions of the findings as a problem statement.
- start with
Are employees leaving because they are poorly paid?
The last graph.
- Attrition, Gender, Department, Age overall to understand more about the data.
- work on the document attached "employee attrition report."
- I have selected - OverTime, TotatWorkingYear, JobLevel, MonthlyIncome, MaritalStatus, YearswithCurrentManger, BusinessTravel. from literature review ", Predicting Employee Attrition using Machine Learning paper which they consider these top factors - attached.
- represent the result in the table.
- add Appendix for python code.
Proffiosanal Formattingm Grammar, Comprehensiveness, Accuracy. References and Appendices.
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find this link to get more idea :
https://www.kaggle.com/hamzaben/employee-churn-model-w-strategic-retention-plan
The data is from : https://developer.ibm.com/patterns/data-science-life-cycle-in-action-to-solve-employee-attrition-problem/#
