⚽ FIFA World Cup Data Explorer

An interactive data analysis app built with Gradio that explores FIFA World Cup statistics from 1930 to the present day.

📊 Features

Tab	Description
📋 Dataset	Browse and filter raw match data by year
📈 Goals Trend	Line chart of total goals scored across all World Cups
🏆 Top Teams	Bar chart ranking teams by wins, goals, points, and more
⚔️ Head-to-Head	Compare cumulative stats between any two nations

🗂️ Dataset

The app loads CSV files named FIFA_-_<YEAR>.csv (e.g. FIFA_-_1930.csv).
Each file contains the group-stage standings for that tournament year with columns:

Column	Description
`Position`	Final standing in that tournament
`Team`	Country name
`Games Played`	Total matches played
`Win`	Wins
`Draw`	Draws
`Loss`	Losses
`Goals For`	Goals scored
`Goals Against`	Goals conceded
`Goal Difference`	GF − GA
`Points`	Tournament points
`YEAR`	Auto-added — the year of the World Cup

Source: Kaggle – FIFA Football World Cup Dataset

🚀 How to Run Locally

git clone https://huggingface.co/spaces/<your-username>/fifa-world-cup-explorer
cd fifa-world-cup-explorer
pip install -r requirements.txt
python app.py

Place all FIFA_-_<YEAR>.csv files in the same directory as app.py.

📓 Notebook

The full EDA and machine learning notebook (fifa_final_project.ipynb) is included.
It covers:

Data loading & cleaning
Goals trend visualisation
Most successful teams
Random Forest classifier to predict the champion

🛠️ Tech Stack

Python 3.10+
Gradio – interactive UI
Pandas / NumPy – data wrangling
Matplotlib / Seaborn – visualisations
Scikit-learn – machine learning

📜 License

MIT — free to use, modify, and distribute.

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support