This will show you the definition of every column, which is crucial for understanding variables like stage_name (e.g., differentiating "Group 1" in 1930 vs modern group stages).
The package is hosted on GitHub, so you will need the devtools package to install it.
Whether you're a soccer fan or a data scientist, the worldcup package is definitely worth checking out. So, go ahead and get ready to dive into the world of World Cup data! worldcup r package jfjelstul
install.packages("worldcup")
Because the data is version-controlled, any analysis—from a student’s Shiny app to a published paper—is fully replicable. This will show you the definition of every
Using the bookings table to see if referees have become stricter over the decades.
Do you need help (like matching players to their goals)? So, go ahead and get ready to dive
While many datasets exist on platforms like Kaggle, they are often messy or incomplete. The worldcup package stands out because it is: