Challenge: Identify which apps are the highest rated. What problem might you encounter if you rely exclusively on ratings alone to determine the quality of an app?

Challenge: What's the size in megabytes (MB) of the largest Android apps in the Google Play Store. Based on the data, do you think there could be a limit in place or can developers make apps as large as they please?

Challenge: Which apps have the highest number of reviews? Are there any paid apps among the top 50?

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Solution: Preliminary Data Exploration

This challenge should have been fairly straightforward if you remembered to use the .sort_values() function.

df_apps_clean.sort_values('Rating', ascending=False).head()

Only apps with very few reviews (and a low number on installs) have perfect 5 star ratings (most likely by friends and family).

df_apps_clean.sort_values('Size_MBs', ascending=False).head()

Here we can clearly see that there seems to be an upper bound of 100 MB for the size of an app. A quick google search would also have revealed that this limit is imposed by the Google Play Store itself. Its interesting to see that a number of apps actually hit that limit exactly.

df_apps_clean.sort_values('Reviews', ascending=False).head(50)

If you look at the number of reviews, you can find the most popular apps on the Android App Store. These include the usual suspects: Facebook, WhatsApp, Instagram etc. Whats also notable is that the list of the top 50 most reviewed apps does not include a single paid app!