Moses-Maina-ctrl/healthstatskenya

A platform to show trend of infectious diseases in kenya # Health Stats Kenya ## Overview This Streamlit application provides interactive data visualization for infectious diseases in Kenya. Users can explore trends and patterns of various diseases over time through intuitive charts and graphs. Demo ## Features - **Dynamic Charts**: Visualize disease data dynamically with interactive line charts. - **Select Disease**: Toggle between different infectious diseases to view specific data. - **Yearly Trends**: Explore disease trends year by year to identify patterns and changes over time. - **User-Friendly Interface**: Intuitive and easy-to-use interface for seamless navigation and exploration of disease data. ## Usage - Upon running the Streamlit app, you will be presented with the interactive user interface. - Select a disease from the dropdown menu to visualize its data. - Use the interactive charts to explore disease trends and patterns. - Toggle between different years to view data for specific time periods. ## Contributing Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request with your changes. ## License This project is licensed under the MIT License - see the LICENSE file for details. ## Acknowledgements - This project utilizes Streamlit for creating interactive data visualizations. - Disease data is sourced from reliable sources such as the Human Data EXchange (HDX), World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC).