This repository contains code to visualize Origin-Destination (OD) matrices using a chord diagram. The repository includes a Jupyter Notebook (ipynb) for data processing and visualization, as well as a Streamlit app for interactive web-based representation of the chord diagram.

• Interactive Chord Diagram: Offers a clear and intuitive way to understand the flow and magnitude between different origins and destinations in the OD matrix.

• Streamlit Web App: Provides an easy-to-use interface for users to input their OD matrix data and generate visualizations on the fly.

• Flexible Data Input: Supports various formats for inputting the OD matrix, ensuring compatibility with different data sources.

• Customizable Visuals: Parameters can be adjusted to modify the appearance and layout of the chord diagram to better match the dataset's specifics.

This project and Chord.ipynb notebook require Python and the following Python packages installed:

• streamlit
• pandas
• numpy
• colorcet
• holoviews
• bokeh

To install the Python packages, navigate to the local directory where you have cloned this repository and run the following command:

pip install -r requirements.txt

If you want to run the OD chord diagram generator as a Streamlit app, follow these steps:

• Navigate to your project directory:

cd directory path

• Run your Streamlit app:

streamlit run chord.py