Review of Guided Project 1: Profitable App Profiles for the App Store and Google Play Markets

Hi Everyone,

I just finished my first Data Science project and would love to get some feedback from you. I’d love to hear where you think I did well and what you think I should correct or improve upon. My notebook may seem a bit different from the solution but that’s because I tried to put down my own ideas when writing my documentation. I’ll welcome any thoughts and advice you have for me.

Thanks in advance,

Profitabe_app_profiles_for_the_app_store_and_google_play_parkets.ipynb (94.6 KB)

Click here to view the jupyter notebook file in a new tab

Hi, Adewalade. Looks good! I had to chuckle because some of your comments were very similar to ones I made (How we weren’t asked to check for duplicates in the Apple data, how Pandas might make some of this easier, etc.). Great minds, right? A few things I noticed: If you are going to post somewhere I’d tidy up a few things. There is a ‘Wwe’ instead of ‘We’ between run cells [8] and [9] and a blank markup line between [15] and [16] that shows up as “Type Markdown and LaTeX”. I’d like to see descriptions of some or all of the columns. Some aren’t easy to understand. Also, Some a little more elaboration and code documentation in a few places. Why create a function to analyze data (other than the assignment required it)? How does it simplify the work? Why are the fields user rating, cont_rating, and prime_genre of interest? Most of it is stylistic/preferences. Finally, I would add a summary at the end. As someone once told me about essays and presentations: Tell them what you’re going to tell them, tell them what you have to tell them, then tell them what you told them. Overall, looks pretty good. Great Job!


Thanks for the feedback @PatrickSmith. I’ll make the corrections in my notebook.

1 Like

Thanks for spotting my typos. I’ve made corrections to them and included the other things you advised me too. For the blank markup line between [15] and [16], it was already filled with what I intended. I don’t know why it didn’t show up. Probably because I didn’t save the notebook before sharing the link. But I’ve done that now. Hopefully, this fixes the problem. I also included tables describing the columns of both datasets as you suggested and the reason I created the functions was so I wouldn’t have to type the same lines of code over and over when analyzing. Also, I added a conclusion at the end of my analysis explaining my thoughts and my recommendations. Thanks again for your help @PatrickSmith

Here’s the updated version of the notebook

1 Like