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Football players data analysis from top European leagues including dataset, SQL queries, Tableau dashboards, and R analysis.

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Top-Leagues-Player-Database

Football players data analysis from top European leagues including dataset, SQL queries, Tableau dashboards, and R analysis.

Football Players Database — Project Summary

Project Goals

This project was developed as part of my learning journey in the Google Data Analytics Certificate. The main goals were:

  • To build a clean and structured football players database using spreadsheet logic;
  • To explore and analyse the data using BigQuery (SQL), Tableau, and R;
  • To publish and document the project as a public portfolio item.

Note: This project is purely educational and has no commercial purpose.

Project Structure

The data is stored in Google Sheets, divided into different sheets linked through relational IDs:

  • Intro — general overview, data sources, and season scope
  • Competitions — list of competitions with unique IDs
  • Clubs — club information (name, competition ID, club ID)
  • Players — main dataset with player-level details

The structure follows a relational logic between competitions, clubs, and players, allowing for clean queries and scalable analysis.

Season Scope

  • The dataset refers to the 2024/2025 season;
  • Data was collected in June 2025 and reflects final squads after the season ended;
  • Summer 2025 transfers are not included.

Players Sheet

The Players sheet includes key player-level data such as:

  • Shirt number, date of birth, height, weight, position
  • Preferred foot, market value, contract end date
  • Information about loans, academy background, and international experience

Each column is clearly named and structured to facilitate analysis.

Tools and Platforms

  • Google Sheets — for database creation and cleaning
  • BigQuery — for SQL-based exploration (with comments included in each query)
  • Tableau — for interactive dashboards and visual insights
  • R & R Markdown — for additional data processing and reporting (with a full R Markdown script documenting the process)

Access Links

Contact

For questions or suggestions, feel free to reach out via my GitHub profile.

Thank you for visiting the project!

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Football players data analysis from top European leagues including dataset, SQL queries, Tableau dashboards, and R analysis.

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