The project aimed to evaluate performance of different Android applications. The project was guided by DataCamp.
Python 3.5
Numpy
Matplotlib
Pandas
Seaborn
- The Market share is highest for Family apps category.
- The average application rating for the applications was 4.2
- The apps pricing for different categories was observed via second plot.
- There were large number of junk apps also available at Google Playstore.
- The popularity of free applications was higher than paid apps.
- According to user reviews, the quality of paid apps was better than free apps.
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