: ✅ Teaching tidyverse principles ✅ Historical football research ✅ Building interactive dashboards (e.g., Shiny apps of World Cup stats) ✅ Sports data science projects
| Dataset | Description | |---------|-------------| | matches | Core match data (teams, score, stage, date, venue, attendance, referee) | | goals | Every goal scored (time, scorer, assist, own goal, penalty) | | cards | Every yellow/red card (time, player, reason) | | penalty_shootouts | Shootout details (team, player, scored/missed) | | players | Player metadata (name, position, birth date, squad number) | | teams | Team metadata (name, confederation, code) | | tournaments | Tournament-level info (year, host, winner, top scorer) | r package worldcup fjelstul
The worldcup package complements these by offering . 9. Conclusion The worldcup R package by Joshua C. Fjelstul is the gold standard for World Cup data in R. Its tidy, relational structure, extensive documentation, and full historical coverage make it invaluable for educators, data journalists, football analysts, and hobbyists. Whether you are plotting scoring trends over 90 years of World Cup history or teaching students how to perform complex data joins, worldcup provides a reliable and ready-to-use foundation. : ✅ Teaching tidyverse principles ✅ Historical football
(if used in academic work): Fjelstul, Joshua C. (2023). worldcup: All World Cup matches, goals, cards, etc. R package version 1.1.0. Would you like a hands-on code example or a visualization built from this package? Fjelstul is the gold standard for World Cup data in R