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UEFA Champions League Analysis and Visualization

This project is a web application for analyzing and visualizing UEFA Champions League data. It provides a dashboard to query and visualize various statistics related to players, clubs, goals, and more.

UEFA

Dataset

The dataset used for this project can be found at the following link: UEFA Champions League Dataset

The dataset includes the following CSV files:

  • Attacking.csv
  • Attempts.csv
  • Defending.csv
  • Disciplinary.csv
  • Distribution.csv
  • Goalkeeping.csv
  • Goals.csv
  • Key Stats.csv

Backend Technologies

The backend of this project is built using the following technologies:

  • Node.js: A JavaScript runtime environment
  • Express.js: A web application framework for Node.js
  • TiDB: A distributed SQL database
  • Sequelize: A promise-based ORM (Object-Relational Mapping) for Node.js

Frontend Technologies

The frontend of this project is built using the following technologies:

  • React.js: A JavaScript library for building user interfaces
  • Recharts: A charting library for React.js

Database

A database table needs to be created to store player information. The table should have the following columns:

  • Player ID
  • Player First Name
  • Player Last Name
  • Player Club

Additionally, separate tables should be created for each CSV file, containing only the Player ID column. Player name and Player club should not be present in these tables.

Dashboard and Visualizations

The dashboard allows users to query and visualize the following data:

  • Club, Goals scored, minutes played, fouls committed, fouls suffered, red cards, yellow cards (Table)
  • Club with highest goals, club with lowest goals, club with second highest goals (Table)
  • Total Goals Scored, Total Goals Conceded, Total Goals Saved, Total Matches Played, Total Assists, Top Scorer (Table)
  • Goals Scored by Players in given position (Bar Graph)
  • Players vs Statistics Heatmap (Y axis: Player name, X axis: Statistics)

The dashboard provides an option to toggle between Attack, Defence, and Goalkeeping statistics, as well as an input for selecting a team.

Installation

  1. Clone the repository: git clone https://github.com/devprashantt/UEFA
  2. Install backend dependencies: cd server && npm install
  3. Install frontend dependencies: cd client && npm install
  4. Start the backend server: cd server && npm start
  5. Start the frontend development server: cd frontend && npm run dev
  6. Open the application in your browser: http://localhost:3000