fifa_audience: How To Break FIFA

In fivethirtyeight: Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'

Description

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

Usage

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 %>%
  pivot_longer(-c(country, confederation), 
     names_to = "type", values_to = "share") %>%
  mutate(type = str_sub(type, start=1, end=-7)) %>%
  arrange(country)

fivethirtyeight documentation built on Oct. 7, 2021, 5:09 p.m.