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ETL-Project

Team Significantly Different: • Aditya • Rosario • Michael • Jonathan

Project: Comparing real life season statistics of soccer players to their individual ratings in the corresponding FIFA video game year

  • Extract: Below are the links of the sources from where data for the project was retrieved (CSV, JSON, pgAdmin 4, etc).

    https://www.kaggle.com/stefanoleone992/fifa-20-complete-player-dataset (CSV)

    https://data.world/cclayford/statbunker-football-statistics (CSV)

  • Transform: The data cleaning primarily comprised of selection of relevant columns, removing null values and changing null values to 0.
    • Only selecting the necessary columns
    • Dropping NaN values
    • Changing NaN values to 0

  • Load: The data was chosen to compare and analyze the real life player attributes against the FIFA video game player attributes for the years 2019 and 2020.
    • Tables
    o Joins can be used effectively to query the data to compare FIFA video game attributes to
    real life statistics

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