This is a data analysis project that explores the Play Store apps data set. The purpose of this project is to perform exploratory data analysis (EDA) on the data set and gain insights into the trends and patterns in the Play Store app market.

The Play Store apps data set is available on Kaggle here. It contains information about more than 10,000 Play Store apps, including their category, rating, reviews, price, and more.

• Python
• Jupyter Notebook
• Pandas
• Matplotlib
• Seaborn

The EDA process includes the following steps:

• Data cleaning and preprocessing
• Data visualization and analysis
• Insights and observations

The results of the EDA process can be found in the Jupyter Notebook included in this repository.

Through this EDA project, we have gained insights into the Play Store app market and identified some interesting trends and patterns. We hope this analysis will be useful for anyone interested in the mobile app industry.

If you would like to contribute to this project, feel free to submit a pull request or open an issue.

This project is licensed under the MIT License.