Plotly Dash Chart Gallery

An interactive web application showcasing various types of charts and visualizations using Plotly Dash. The application includes a comprehensive gallery of chart types with live examples, code snippets, and documentation references.

Features

• Interactive chart selection
• Live visualization updates
• Code examples for each chart type
• Documentation references
• Parameter descriptions
• Use case explanations

Chart Types Supported

• Line Charts
• Bar Charts
• Scatter Plots
• Histograms
• Box Plots
• Violin Plots
• Pie Charts
• Heatmaps
• Density Contours
• Sunburst Charts
• Strip Charts
• Polar Charts
• Funnel Charts
• Treemaps
• Parallel Coordinates
• Area Charts
• Candlestick Charts
• Choropleth Maps
• Scatter Maps

Setup

Local Development

1. Clone the repository
2. Create a virtual environment (recommended):

   python -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the application:

   python examples.py

5. Open your browser and navigate to http://localhost:8002

Docker Setup

1. Build the Docker image:

   docker build -t dash-app .

2. Run the container:

   docker run -p 8002:8002 dash-app

3. Access the application at http://localhost:8002

Dependencies

• dash==2.18.2
• Flask==3.0.3
• plotly==6.0.0
• pandas
• numpy
• waitress

Usage

1. Select a chart type from the left sidebar
2. View the live chart example
3. Check the code snippet to learn how to create the chart
4. Review parameters and use cases in the reference section
5. Use the provided documentation links for detailed information

Contributing

Feel free to open issues or submit pull requests for improvements or bug fixes.

License

MIT License