README.md

PySpark Football KPI visualizer

Giving football data from Transfermarkt and Kaggle datasets a twist. Using PySpark to produce some interesting data from it.

Usage

Clone repo.

    git clone https://github.com/RoachLok/football-pyspark

Setup python env.

    python3 -m venv .venv

Enable the environment running the activate script for your shell and environment.

    # Bash (Windows)
    source .venv/Scripts/activate

    # PowerShell
    .\.venv\Scripts\Activate.ps1

Install dependencies from requirements.txt.

    pip install -r requirements.txt

Start the app.

    python app.py

Sources

Datasets

Transfermarkt Data: https://www.kaggle.com/datasets/davidcariboo/player-scores

Football Players Market Value Prediction: https://www.kaggle.com/datasets/akarshsinghh/football-players-market-value-prediction

Akarsh Football Players Market Value Prediction: https://www.kaggle.com/datasets/akarshsinghh/football-players-market-value-prediction?resource=download