2023 Michelin Guide Data Analysis - Maira M.

[MairaMG]

https://github.com/MairaMG/project--II

[sahernandezr]

You did great on this project! Some comments:

• Repository You organized your repository in a very clear manner. It is a great habit to name your files with descriptive names, like you did with your data files and visualizations. That away everyone knows what they get inside each file.

• Acquisition and enrichment of database You had a lot of information and very complex columns, but you did a great job cleaning and creating a dataframe to help you achieve your goals. It is also very impressive the organization of your notebooks, with the use of subtitles and comments on your code. Keep working like that!

• Reporting Your Canva presentation is very informative. Each slide has a good balance between text and graphs/images. I really like how you used only the most important information in each slide, because that way the presentation helps you instead of taking away your audience attention when they start reading all the text and stop listening to you.

• README You have a very organized and informative README. It takes us through your process and shows your analysis and conclusions. Adding the visualizations alongside the text is a great way to make an interesting presentation.

• Bonus: modularization/encapsulation I see you did create functions to make different cleaning actions, as well as visualizations. The next step would be to concentrate those functions in their corresponding .py files and then import those files into your notebooks.