Python,Data Analysis,Data Cleaning
In this project, we'll clean and analyze exit surveys from employees of the Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) body of the Queensland government in Australia. The TAFE exit survey can be found here and the survey for the DETE can be found here.
We'll pretend our stakeholders want us to combine the results for both surveys to answer the following question:
- Are employees who only worked for the institutes for a short period of time resigning due to some kind of dissatisfaction? What about employees who have been there longer?
- python,Pandas,NumPy,Matplotlib
The TAFE exit survey can be found here and the survey for the DETE can be found here.
Files in this repository:
| File / Folder | Description |
|---|---|
| dete_survey.csv | The DETE exit survey can be found here |
| tafe_survey.csv | The TAFE exit survey can be found here |
| Clean and Analyze Employee Exit Surveys.ipynb | Clean and Analyze Employee Exit Surveys to answer 1;Are employees who only worked for the institutes for a short period of time resigning due to some kind of dissatisfaction? What about employees who have been there longer? |
| README | Readme file |
Clone the repository into a local machine using
git clone https://github.com/AvinashBolleddula/Clean-and-Analyze-Employee-Exit-SurveysThese are the prerequisites to run the program.
- python 3.8.3,Pandas,NumPy,Matplotlib
Avinash B - avinash.bolleddula@gmail.com
Project Link: https://github.com/AvinashBolleddula/Clean-and-Analyze-Employee-Exit-Surveys