# Visualization example: Bar chart of goals scored by nationality import matplotlib.pyplot as plt df.groupby('Nationality')['Goals'].sum().plot(kind='bar') plt.title('Total Goals by Nationality') plt.xlabel('Nationality') plt.ylabel('Goals') plt.show()
: Users can download the data in .csv, .json, and SQLite formats. jfjelstul worldcup data-csv appearances csv
The schema is clean and normalized. It uses foreign keys ( match_id , player_id ) that link to other files in the Jfjelstul database (like matches.csv and players.csv ). This allows for easy SQL-style joins or Python pandas merging to enrich the data. # Visualization example: Bar chart of goals scored
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