<<<<<<< HEAD T20 World Cup Analytics — Minimal Full-Stack Example

Overview:

• Small Flask backend that reads a CSV of matches and exposes JSON APIs.
• A static frontend (index.html) that requests summary data and draws charts with Chart.js.

Quick start:

1. Create a virtualenv and install dependencies:

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt

2. Run the backend (from project root):

python backend/app.py

Then open http://127.0.0.1:8000 in your browser.

Files of interest:

• backend/app.py — Flask app and API endpoints.
• data/matches_sample.csv — small sample dataset to start with.
• frontend/index.html and frontend/app.js — simple UI and charting.

Next steps you can ask me for:

• Expand data model (ball-by-ball, players, top scorers).
• Add upload UI to import CSVs.
• Add filters (by team, date range) and more charts.
• Dockerfile + deployment instructions. =======

T20-World-Cup-Analytics

T20 World Cup — Analytics is a Python-based data analytics project that explores match and player data from the T20 World Cup to uncover meaningful insights and performance trends.

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