An interactive full-stack web app that visualizes NBA players’ performance before and after being traded.

• Filter by player, team, season, and position
• Compare pre- and post-trade stats: PPG, AST, TA-BPM
• Clean data visualization with Recharts
• Backend powered by Flask + Pandas
• Frontend built in React + Tailwind CSS

• Frontend: React, Tailwind CSS, Recharts
• Backend: Python, Flask, Pandas
• Data: CSV data processed with trade labels
• Tools: Git, VS Code, Node, pip

1. Clone the repo

   git clone 
   cd 'your project'
   cd backend
    pip install -r requirements.txt
    python server.py
    cd react-frontend
    npm install
    npm start