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.

-

find this link to get more idea :


Instruction Files

Related Questions in statistics category


Disclaimer
The ready solutions purchased from Library are already used solutions. Please do not submit them directly as it may lead to plagiarism. Once paid, the solution file download link will be sent to your provided email. Please either use them for learning purpose or re-write them in your own language. In case if you haven't get the email, do let us know via chat support.