Google-Play-Store-Data-Analysis

Overview

This project performs an exploratory data analysis (EDA) on the Google Play Store dataset to uncover insights into app ratings, categories, pricing, and more. The dataset includes information about over 10,000 Android apps available on the Google Play Store.

Tools Used

• Python (NumPy, Pandas)
• Matplotlib (for visualizations)

Analysis

The analysis includes:

1. Data cleaning (removing duplicates, handling missing values)
2. Exploratory Data Analysis (EDA) with Pandas and Matplotlib
3. Visualizing app distribution by categories, ratings, and prices

Insights

• Category-wise app distribution: Most apps fall under the "Game" category.
• Price distribution: Most apps are free, but paid apps have higher ratings on average.

Built With

• jupyter-notebook
• matplotlib
• numpy
• pandas