Jfjelstul Worldcup: Data Download [verified]

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:

The package also includes built‑in documentation ( ?matches , ?worldcup ). Python users can read CSVs directly from the raw GitHub URLs: jfjelstul worldcup data download

# 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") library(dplyr) goals_per_match &lt