Google Play Store Apps Analysis

This project analyzes Google Play Store apps using Python.

Tools Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Google Colab / Jupyter Notebook

Dataset

Google Play Store dataset containing app category, rating, installs, size, and price.

Data Cleaning

• Removed invalid installs and ratings
• Converted installs and price to numeric
• Converted app size to MB
• Removed missing values

Visualizations Created

1. Top 15 app categories
2. Free vs Paid app ratings comparison
3. Median installs based on app size

Key Findings

• Most apps belong to FAMILY category
• Free apps have slightly higher average ratings
• Apps sized 10–25 MB have highest installs

Output

Visualization saved as playstore_analysis.png

Author

Kavya P BSc Computer Science with Data Science