🦠 COVID-19 Dashboard

This project is a COVID-19 Dashboard built using Streamlit and Plotly. It visualizes COVID-19 data globally, allowing users to analyze and compare COVID-19 statistics across different countries. 📊

🚀 Features

• View the latest COVID-19 data for any selected country 🌍
• Historical data visualization for confirmed cases and daily new cases 📈
• Global statistics overview for total confirmed, deaths, recovered, and active cases 🌐
• Top 10 countries with the highest confirmed, recovered, deaths, and active cases 📊
• Country comparison for COVID-19 cases 🏆
• Interactive heatmap for COVID-19 statistics across different countries 🗺️

📂 Project Structure

• app.py: The main file for running the Streamlit app
• requirements.txt: List of dependencies required to run the app
• archive/: Folder containing the CSV data files used in this project

📦 Requirements

• Python 3.7+
• Streamlit
• Plotly
• Pandas

📝 Installation and Setup

Follow these steps to get a local copy of the project and run the app:

1. Clone the Repository 📥

   git clone https://github.com/your-username/COVID-19-Dashboard.git
   cd COVID-19-Dashboard

2. Create a Virtual Environment 🐍
   It's recommended to create a virtual environment to manage dependencies:

   python -m venv venv

3. Activate the Virtual Environment 🌱
   On Windows:

   venv\Scripts\activate

   On macOS/Linux:

   source venv/bin/activate

4. Install Dependencies 📦
   Make sure you have Python installed. Then, install the required dependencies by running:

   pip install -r requirements.txt

5. Run the App ▶️
   Start the Streamlit app using the command:

   streamlit run app.py

   The app will open in your default web browser.

6. Explore the Dashboard 🌐

   • Select a country from the dropdown to see its latest COVID-19 statistics.
   • View historical data, global statistics, and compare data between countries.
   • Check the heatmap and explore the top 10 countries with the most cases.

🗂️ Folder Structure

COVID-19-Dashboard/
├── app.py                  # Main application file
├── requirements.txt        # Dependencies file
└── archive/                # Folder containing CSV data files
    ├── country_wise_latest.csv
    ├── covid_19_clean_complete.csv
    ├── day_wise.csv
    ├── full_grouped.csv
    ├── usa_county_wise.csv
    └── worldometer_data.csv

💡 How to Contribute

1. Fork the repository
2. Create a new branch for your feature: git checkout -b feature-name
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature-name
5. Submit a pull request

📊 Data Sources

The data used in this project comes from various sources and is updated regularly:

• Johns Hopkins University
• Worldometer

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.

🌟 Acknowledgments

• Big thanks to the data providers for making COVID-19 data publicly available 🙌
• Special thanks to Streamlit and Plotly for providing great tools for data visualization 📈

Feel free to ⭐️ the repository if you find it helpful!

Happy coding! 🚀

This updated README now includes instructions on creating and activating a virtual environment, ensuring users have a smooth setup process.