Skip to content

Latest commit

 

History

10 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 

Repository files navigation

Profitable App Profile Analysis

This project aims to identify profitable app profiles — apps that are more likely to attract users — to help developers make informed, data-driven decisions about the kinds of apps they should build.

We analyze datasets from both the Google Play Store and the Apple App Store to ensure the study is relevant across the two most dominant app marketplaces.

Dataset:

https://www.kaggle.com/datasets/lava18/google-play-store-apps

https://www.kaggle.com/datasets/ramamet4/app-store-apple-data-set-10k-apps

Key Insights:

  • Free apps obviously are the best option.
  • Navigation and Communication categories seem to be popular but are actually skewed up by only a few giants.
  • Entertainment and Games categoies are popular but the market is pretty saturated.
  • Book and Reference category appears to be the winner with small account of the market but significant installs and number of ratings.

About

Profitable App profile analysis

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages