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README.md

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+# COVID-19 Data Analysis Project
+
+This project analyzes COVID-19 data to explore factors affecting mortality rates, focusing on age and gender demographics. It includes data cleaning, descriptive statistics, hypothesis testing, and data visualization using R.
+
+## Installation
+
+1. Clone the repository:
+git clone [https://github.com/your-username/covid19-data-analysis.git
+](https://github.com/hrishabht5/COVID-19-Claims-analysis)
+
+2. Install required packages:
+install.packages("Hmisc")
+
+3. Download the COVID-19 dataset (`COVID19_line_list_data.csv`) and place it in the project directory.
+
+## Usage
+
+1. Open the R script `covid_analysis.R` in your preferred R environment.
+
+2. Run the script to perform data analysis:
+source("covid_analysis.R")
+
+3. The script will read the dataset, clean the data, perform statistical analysis, and generate visualizations.
+
+4. Explore the generated visualizations and analysis results to understand the relationship between age, gender, and COVID-19 mortality rates.
+
+## Contributing
+
+Contributions to this project are welcome! If you have suggestions for improvements, new analysis techniques, or bug fixes, please follow these steps:
+
+1. Fork the repository.
+2. Create a new branch (`git checkout -b feature-branch`).
+3. Make your changes and commit them (`git commit -am 'Add new feature'`).
+4. Push to the branch (`git push origin feature-branch`).
+5. Create a new pull request.
+
+
+## Support
+
+For support or inquiries, please open an issue on GitHub or contact [email protected]