I came back to Dataquest’s first guided project on Google and Apple app recommendations. This time I used pandas and matplotlib/seaborn for the analysis. I picked three apps to recommend that are shared between both libraries.
One important thing to note is I did not use the original data files that are provided by Dataquest. Someone on kaggle scraped data for both apple and google last year in 2021. Both of these datasets have over a million rows. I cleaned most of the data in a separate notebook file (this won’t be uploaded), however some data cleaning was left over that I had to perform in this notebook I am uploading.
Any suggestions or feedback are welcome.