The , created by Joshua C. Fjelstul, Ph.D., is one of the most comprehensive open-source datasets for FIFA World Cup history. It covers all 22 men's tournaments from 1930 to 2022 and 8 women's tournaments from 1991 to 2019, comprising over 1.58 million data points.
# Load data df = pd.read_csv('worldcup_appearances.csv') jfjelstul worldcup data-csv appearances
subs = appearances[appearances['game_started'] == False] The , created by Joshua C
Here is how you load the dataset directly from the source using pandas and answer a real question: Which substitute scored the most goals? created by Joshua C. Fjelstul
The dataset has gained significant traction in the data science community and has been featured by major outlets like , The Washington Post , and DataCamp . The Fjelstul World Cup Database - GitHub