Description:
This Data is taken from Kaggle DataSets - GooglePlayStore Apps Data
Context
While many public datasets (on Kaggle and the like) provide Apple App Store data, there are not many counterpart datasets available for Google Play Store apps anywhere on the web. On digging deeper, I found out that iTunes App Store page deploys a nicely indexed appendix-like structure to allow for simple and easy web scraping. On the other hand, Google Play Store uses sophisticated modern-day techniques (like dynamic page load) using JQuery making scraping more challenging.
Content
Each app (row) has values for catergory, rating, size, and more.
Acknowledgements
This information is scraped from the Google Play Store. This app information would not be available without it.
Inspiration
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!
To run this project, you need the following Python libraries:
- pandas
- numpy
- matplotlib
- seaborn
You can install these dependencies using the provided requirements.txt file.
- Clone this repository
- Install the required dependencies:
pip install -r requirements.txt
This project is open-source and available under the MIT License.