First Guided Project - Analyzing Profitable App Profiles

Looking to recieve feedback about how to make the project better and improve.

Profitable_app_profiles.ipynb (41.2 KB)

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Hi Gaurav,

Welcome to the Community and thanks for sharing your project with us. Your work looks really nice and easy-to-follow, and I especially liked your laconic but informative explanations and observations throughout the project. Great job!

Some suggestions for your consideration:

  • It’s better to re-run the project when it’s completed to have all the code cells in order and starting from 1.
  • When mentioning variable names, column names, dataframes etc. in markdown, consider using backticks (``) for better emphasis.
  • Avoid unnecessary empty lines in your code cells (e.g. in 15])
  • Probably, it’s better to add more code comments (but not too many :slightly_smiling_face:)
  • You made very well rounding the output for the code cell [21], consider doing the same for [23] and [28].
  • The code cell [26]: the output looks too long. You might consider showing only the most popular categories.

Hope my suggestions were useful. Good luck with your future projects!

Thank you so much Elena on your feedback. I will incorporate your suggestions in this project and future projects. Appreciate your motivation a lot!

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Please find the new copy of the modified project notebook here:
Profitable Apps.ipynb (38.9 KB)

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Great job on updating your project, Gaurav! Now everything looks perfect.

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