# Install from CRAN install.packages("worldcup") library(worldcup) See all available data frames data(package = "worldcup") Load specific tables into environment data("matches") data("goals") data("cards")
The package also includes built‑in documentation ( ?matches , ?worldcup ). Python users can read CSVs directly from the raw GitHub URLs: jfjelstul worldcup data download
library(dplyr) goals_per_match <- matches %>% group_by(year) %>% summarise(avg_goals = mean(home_team_goals + away_team_goals)) Results show a decline from ~4 goals/match in 1930s–50s to ~2.5 goals/match in recent decades, reflecting tactical shifts. Analyze which round produces most red cards: # Install from CRAN install
Abstract The FIFA World Cup is one of the most watched and data‑rich sporting events in the world. Despite its popularity, high‑quality, structured, and reproducible data on every match, goal, card, and player appearance have historically been scattered across multiple sources. The Jfjelstul World Cup database (Jfjelstul, 2022) fills this gap by providing a complete, open‑source, and rigorously curated dataset covering every World Cup edition from 1930 to 2022. This paper details the database’s structure, installation methods (including direct download and R package integration), key variables, and practical applications. We also discuss data validation, limitations, and potential extensions for social scientists, sports analysts, and data science educators. 1. Introduction Since its inception in 1930, the FIFA World Cup has grown into a global phenomenon. Analysts increasingly use historical tournament data to study performance patterns, referee bias, team strategy evolution, and even economic or political impacts on sporting outcomes. However, obtaining reliable, machine‑readable data for all matches, goals, penalties, and disciplinary actions has been a persistent challenge. Many online sources contain errors, missing records, or inconsistent formatting across years. We also discuss data validation, limitations, and potential