https://github.com/nafisalawalidris/google-play-store-apps-and-reviews

Perform a comprehensive analysis of over 10,000 Android apps in the Google Play Store. Explore app categories, user reviews, and sentiments. Gain insights to drive growth and retention strategies.
https://github.com/nafisalawalidris/google-play-store-apps-and-reviews

analysis-app-market android-apps app-categories google-play-store growth-strategies retention-strategies sentiments user-reviews

Last synced: 2 months ago
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Perform a comprehensive analysis of over 10,000 Android apps in the Google Play Store. Explore app categories, user reviews, and sentiments. Gain insights to drive growth and retention strategies.

• Host: GitHub
• URL: https://github.com/nafisalawalidris/google-play-store-apps-and-reviews
• Owner: nafisalawalidris
• Created: 2023-06-07T18:18:17.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-07T18:35:55.000Z (almost 2 years ago)
• Last Synced: 2025-01-23T07:12:14.530Z (4 months ago)
• Topics: analysis-app-market, android-apps, app-categories, google-play-store, growth-strategies, retention-strategies, sentiments, user-reviews
• Language: HTML
• Homepage:
• Size: 2.89 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Google Play Store Apps and Reviews Analysis


Mobile apps have become ubiquitous and highly lucrative. With the increasing number of apps being developed, it's crucial to understand the Android app market for driving growth and retention. This project provides a comprehensive analysis of over ten thousand apps in Google Play Store across various categories.


Dataset


The analysis is based on two files:




  


apps.csv: Contains details of the applications on Google Play. It includes 13 features describing each app, such as name, category, rating, size, installs, price, content rating, genre, last updated date, current version, and Android version compatibility.

  


user_reviews.csv: Includes 100 reviews for each app, sorted by helpfulness. The reviews have been pre-processed and tagged with sentiment analysis features, including sentiment (positive, negative, or neutral), sentiment polarity, and sentiment subjectivity.



Analysis Goals


The primary objectives of this analysis are:




  
Identify trends and insights within the Android app market.

  
Explore correlations between app features and user sentiment.

  
Analyze app categories and their distribution.

  
Formulate strategies to drive growth and improve user retention.



Methodology


The analysis will involve various techniques, including data exploration, visualization, statistical analysis, and sentiment analysis. Python and Jupyter Notebook will be used as the main programming environment and tools.


Contents


The project folder contains the following files:




  


apps.csv: The dataset file containing app details.

  


user_reviews.csv: The dataset file containing user reviews.

  


analysis.ipynb: Jupyter Notebook file with the code, analysis, and visualizations.

  


README.md: This file, providing an overview of the project.



Conclusion


This analysis aims to provide valuable insights into the Android app market on Google Play Store. The findings can help app developers, marketers, and stakeholders in formulating effective strategies for growth and improving user retention.


Feel free to explore the Jupyter Notebook for a detailed analysis of the data and insights.