navidadelpour / radviz-VA

Visual analytics clustering with radviz and flask

Radviz Visualization

This project utilizes Create React App for the frontend and Flask for the backend.

Dependencies

Ensure the following dependencies and third-party libraries are installed on your system before running the project:

• Node.js
• npm
• Flask
• flask-cors
• scikit-learn (sklearn)
• pandas

Setup

Follow these steps to set up and run the project:

1. Installing Node Modules:

   Open a terminal in the project folder and run the following command:

   npm install

   This will install all the required Node modules for the application.

2. Run Flask Server:

   Open a terminal in the project folder and navigate to the /server folder:

   cd server

   Set the debug mode to on:

   export FLASK_DEBUG=1

   Now, run the Flask server (by default, it will run on port 5000):

   flask run

   The server is now accessible at http://localhost:5000.

3. Setup React App:

   Open a terminal in the project folder:

   cd ..

   Now, you are back in the project folder. Run the following command to set up your React app (by default, it will run on port 3000):

   npm start

   Open http://localhost:3000 to view the app in the browser.

Notes

I used biovisualize/radviz as a reference for radviz.js and d3.js.