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.
4. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
5. Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.