This project explores the official FIFA World Cup 2026 squads through data analysis.
The data was collected from the Wikipedia page containing the tournament squads and then transformed into a clean and analysis-ready dataset using Python and Pandas.
The current stage focuses on:
- Exploratory Data Analysis (EDA)
- Squad demographics analysis
- Visualizations and insights
🚧 This project is currently a Work in Progress (WIP). Analysis phase has just begun.
- Build a structured dataset containing all FIFA World Cup 2026 squads
- Practice data extraction, cleaning, and feature engineering
- Explore player demographics and squad characteristics
- Create visualizations that uncover interesting patterns and curiosities
- Python
- Pandas
- Plotly
- Jupyter Notebook
- Data extraction from Wikipedia
- Dataset consolidation
- Field standardization
- Missing value treatment
- Date and age separation
- Initial exploratory analysis
- First visualizations
- Exploratory Data Analysis (EDA)
- Squad demographics analysis
- Visualizations and insights
Possible next steps include:
- Automated web scraping pipeline
- Reproducible data acquisition workflow
- Interactive dashboards
Wikipedia – 2026 FIFA World Cup squads
Developed as part of my Data Analytics and Data Engineering learning journey.