Google Play Store Apps Analysis (2010–2018)

Mini exploratory data analysis (EDA) project using pandas on a dataset of ~62,700 Android apps from the Google Play Store.

The notebook explores app popularity, monetization strategies, genre performance, user ratings behavior, and realistic expectations for new app developers.

Project Goals

Understand which app categories historically attracted the most downloads and daily engagement

Analyze monetization patterns (ads, in-app purchases, paid apps)

Identify market leaders per category

Estimate realistic daily install numbers for a newly released app

Examine rating behavior, review-to-rating ratios, and weighted average scores