The google play store is one of the largest and most popular Android app stores. It has an enormous amount of data that can be used to make an optimal model. I have used a raw data set of Google Play Store from the Kaggle website. This data set contains 13 different features that can be used for analyzing whether an app will be successful or not using different features.

Objective -

The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market.

Dataset is available above as .csv file and can also be accessed through the below link -

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

Business Intelligence Software Used - Power BI

Major Insights:

• The dataset consists of 10840 rows after cleaning but consists of only 9638 unique applications
• There are 33 categories of apps with Family, Games, Tools, Medical and Business being the top 5 categories having the maximum number of apps.
• Majority of the Android app marketshare i.e. 92.61% is covered by Free apps while 7.39% is covered by Paid applications. This makes Google Play Store a leading market choice for installing applications
• There are 119 Genres of apps with
  • Tools (Top 4 apps - Google, Gboard, Google Translate, Shareit),
  • Entertainment (Top 4 apps - Google Play Games, Netflix, IMDb, Hotstar),
  • Business (Top 4 apps - OfficeSuite, Docs To Go, Facebook Pages Manager, File Commander),
  • Education (Top 4 apps - Duolingo, Learn Languages, Quizlet, Babbel) and
  • Medical (Top 4 apps - Blood Pressure, My Calendar-Period Tracker, mySugr, 1800 Contact-Lens Store) being the top 5 Genres having the maximum number of apps.
• Despite of being 3rd on the list of top 5 apps by number of reviews, Clash of Clans is the top app with highest average rating of 4.6
• Maximum apps on Google Play Store provide support for android version 4.0 and up to cover maximum mobile market share.