Data Cleanup and Regression Analysis
1. Combine the files, clean, and manipulate them.
2. Formulate at least 5 different questions and provide answers to them with at least 5 informative visualizations with your explanations and comments.
3. The work should be submitted in a .py/.ipynb/.r script.