/fifa18

An exploratory data analysis and D3 data visualization project on FIFA 18 dataset.

Primary LanguageJupyter Notebook

Original Dataset is collected at this GitHub Repo. I did an in-depth analysis and visualization on the FIFA18 dataset. The end goal is to predict the best possible international squad for these teams: France, Germany, Spain, England, Brazil, Argentina at the upcoming World Cup.

The complete notebook can be accessed here.

I also wrote an accompanied blog post: FIFA World Cup 2018: A Data-Drive Approach to Ideal Team Line Up.

world-cup


Content

  • Every player featuring in FIFA 18
  • 70+ attributes
  • Player and Flag Images
  • Playing Position Data
  • Attributes based on actual data of the latest EA's FIFA 18 game
  • Attributes include on all player style statistics like Dribbling, Aggression, GK Skills etc.
  • Player personal data like Nationality, Photo, Club, Age, Wage, Salary etc.

The dataset contains all the statistics and playing attributes of all the players in the Full version of FIFA 18.


Data Source

The data is scraped from the website [https://sofifa.com][1] by extracting the Player personal data and Player Ids and then the playing and style statistics.