An interactive dashboard visualizing global trends such as GDP growth, population dynamics, and more using World Bank data, built with Python and Dash.
Hosted at: https://worldmetrics-phr.onrender.com
Clone the repository and navigate to the project directory:
git clone https://github.com/Hrishikesh-Papasani/Global-Trends-Dashboard.git
cd Global-Trends-Dashboard
Run the dashboard with:
python app.py
- /data-collection
- /scripts: Contains scripts for downloading and preprocessing the World Bank data.
- /data: Stores datasets retreived and preprocessed in the scripts along with the datasets downloaded from external sources.
- /dashboard
- /assets: Includes CSS and JavaScript files for styling and functionality enhancements.
- app.py: The main Dash application script that defines the server and web app layout.
This dashboard offers a range of features designed to provide a comprehensive view of global economic and social indicators:
- Interactive Maps and Charts: Utilize dynamic, interactive maps and charts to explore various data dimensions.
- Real-time Data Source: Data is sourced in real-time from the World Bank, ensuring that the most current information is displayed.
- Custom Data Views: Users can apply filters to customize views according to different countries, time periods, or indicators.
- Responsive Design: The dashboard is fully responsive, providing a seamless experience across different devices and screen sizes.
- Data Download: Users have the option to download the data for offline analysis and use.
- Multi-Indicator Comparison: Compare different indicators side-by-side to analyze correlations and trends over time.
This project is licensed under the MIT License - see the LICENSE.md file for details.
Please contact for more information
Mail: [email protected]
LinkedIn: LinkedIn