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Country-level statistics from the US Central Intelligence Agency (CIA).

Usage

cia_factbook

Format

A data frame with 259 observations on the following 11 variables.

country

Country name.

area

Land area, in square kilometers. (1 square kilometer is 0.386 square miles

birth_rate

Birth rate, in births per 1,000 people.

death_rate

Death rate, in deaths per 1,000 people.

infant_mortality_rate

Infant mortality, in deaths per 1,000 live births.

internet_users

Total number of internet users.

life_exp_at_birth

Live expectancy at birth, in years.

maternal_mortality_rate

Number of female deaths per 100,000 live births where the death is related to pregnancy or birth.

net_migration_rate

Net migration rate.

population

Total population.

population_growth_rate

Population growth rate.

Examples


library(dplyr)
library(ggplot2)

cia_factbook_iup <- cia_factbook %>%
  mutate(internet_users_percent = 100 * internet_users / population)

ggplot(cia_factbook_iup, aes(x = internet_users_percent, y = life_exp_at_birth)) +
  geom_point() +
  labs(x = "Percentage of internet users", y = "Life expectancy at birth")
#> Warning: Removed 51 rows containing missing values (geom_point).