Welcome to the World Cup Data Analysis Project! This repository is dedicated to exploring and analyzing data from the FIFA World Cup, one of the most celebrated sporting events globally. Dive deep into statistics, trends, and insights about teams, players, and historical tournaments.
The goal of this project is to:
- Analyze FIFA World Cup data to uncover patterns and trends.
- Generate visualizations that provide intuitive insights.
- Explore interesting questions about the history and performance of teams and players.
WORLD_CUP.ipynb
: The main Jupyter Notebook containing all data analysis and visualizations.README.md
: This file, serving as documentation for the project.
Here are some highlights of what this project covers:
- Historical performance of teams across tournaments.
- Goal statistics: Top scorers, average goals per match, and more.
- Match outcomes and trends over decades.
- Analyzing host country advantages.
- Clone this repository:
git clone https://github.com/ay0788/WorldCup.git cd WorldCup