About This Project
Analyzed a comprehensive dataset of Google Play Store applications using Python, Pandas, Matplotlib, and Seaborn to uncover trends in app performance, user ratings, and market dynamics. The project revealed insights into app categories, pricing strategies, and factors influencing user engagement.
Key Features
- Data cleaning and preprocessing of large datasets
- Statistical analysis of app ratings and reviews
- Visualization of trends across app categories
- Insights into pricing strategies and user engagement
