The raw data behind the story "How To Break FIFA" https://fivethirtyeight.com/features/how-to-break-fifa/.

fifa_audience

Format

A data frame with 3652 rows representing guests and 6 variables:

country

FIFA member country

confederation

Confederation to which country belongs

population_share

Country's share of global population (percentage)

tv_audience_share

Country's share of global world cup TV Audience (percentage)

gdp_weighted_share

Country's GDP-weighted audience share (percentage)

Source

See https://github.com/fivethirtyeight/data/tree/master/fifa

Examples

# To convert data frame to tidy data (long) format, run: library(dplyr) library(tidyr) library(stringr) fifa_audience_tidy <- fifa_audience %>% gather(type, share, -c(country, confederation)) %>% mutate(type = str_sub(type, start=1, end=-7)) %>% arrange(country)