This Streamlit-based web application provides a dashboard for visualizing COVID-19 data, including metrics and charts.

• Introduction
• Contributing
• Features
• Getting Started
• Usage
• Contributing
• License
• Acknowledgements

This project implements a COVID-19 dashboard using Streamlit, displaying various metrics and visualizations related to COVID-19 data for different states and Union Territories in India.

• Provides a donut chart illustrating COVID-19 data for a selected state/Union Territory.
• Allows users to customize chart parameters such as data selection and plot height.
• Clean and responsive user interface.

• Python 3.x
• Streamlit
• pandas
• plotly

1. Clone the repository:

   git clone https://github.com/KekmaTime/visualytics.git
   cd visualytics
   

1. Run the Streamlit app:

   streamlit run src/main.py

2. Open the provided URL in your web browser to access the Streamlit dashboard.

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature-name).
3. Make your changes and commit them (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/your-feature-name).
5. Open a pull request.

This project is licensed under the GNU General Public License.

• This project utilizes Streamlit, a powerful tool for creating web applications for machine learning and data science.
• The COVID-19 data used in this project is sourced from Kaggle.
• Special thanks to Ayush Kumar for the collaboration of this dashboard.