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Data Analysis using Python

This is a guided project I have done using Python programming language to analyse profitable app profiles for the App Store and Google Play Markets.

Our aim in this project is to find mobile app profiles that are profitable for the App Store and Google Play markets. We have used two dataset for this purpose are :

  • A dataset containing data about approximately ten thousand Android apps from Google Play.

  • A dataset containing data about approximately seven thousand iOS apps from the App Store.

We concluded that taking a popular book (perhaps a more recent book) and turning it into an app could be profitable for both the Google Play and the App Store markets. The markets are already full of libraries, so we need to add some special features besides the raw version of the book. This might include daily quotes from the book, an audio version of the book, quizzes on the book, a forum where people can discuss the book, etc.

This is the link of Jupyter notebook where I have performed all the task.