This repository uses the Google Places API found here https://developers.google.com/maps/documentation/places/web-service/text-search to scrape and clean place data found on Google Maps. It can be used for trip planning or as a tool to locate local businesses for marketing. There is a front-end API built with Next and ChartJS for data visualization.
- Interactive Dashboards: Use ChartJS to create interactive charts
- Modular Design: Easily add new data sources and visualization types.
- Responsive Layout: Dashboards are mobile-friendly and adapt to different screen sizes.
- Customizable: Configurable themes and settings allow users to personalize their dashboards.
- Data Integration: Load data from various sources such as CSV files, databases, or APIs.
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Clone the repository:
git clone https://github.com/JordanTPhysics/Dashboarding.git cd Dashboarding -
Create a virtual environment:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
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Install the required dependencies:
pip install -r requirements.txt
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Run the Dashboard:
/api -> uvicorn main:app --reload -
Access the Dashboard: Open your web browser and navigate to
http://127.0.0.1:8000/to view the docs and endpoints available from the server -
Explore the Dashboard: Use the interactive elements to filter, zoom, and explore the data visualizations.
Contributions are welcome! Please feel free to submit a Pull Request or open an issue if you have any suggestions or improvements. When contributing, please follow these guidelines:
- Fork the repository and create a new branch for your feature or bugfix.
- Make your changes and add tests if applicable.
- Submit a Pull Request with a detailed explanation of your changes.
This project is licensed under the MIT License. See the LICENSE file for more details.
Feel free to adjust this README to better match the specifics of your project or repository structure!