Skip to content

Latest commit

 

History

History
40 lines (24 loc) · 1.49 KB

README.md

File metadata and controls

40 lines (24 loc) · 1.49 KB
Raw

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

  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 hrishabht5@gmail.com