gdp_countries {openintro}

GDP Countries Data.

Description

From World Bank, GDP in current U.S. dollars 1960-2020 by decade

Usage

gdp_countries

Format

A data frame with 659 rows and 9 variables.

country

Name of country.

description

description of data: GDP (in current US$), GDP growth (annual %), GDP per capita (in current US$)

year_1960

value in 1960

year_1970

value in 1970

year_1980

value in 1980

year_1990

value in 1990

year_2000

value in 2000

year_2010

value in 2010

year_2020

value in 2020

Source

World Bank

Examples

library(dplyr)
# don't use scientific notation
options(scipen = 999)
# List the top 10 countries by GDP (There is a row for World)
gdp_countries |>
  filter(description == "GDP") |>
  mutate(year2020 = format(year_2020, big.mark = ",")) |>
  select(country, year2020) |>
  arrange(desc(year2020)) |>
  top_n(n = 11)

# List the 10 countries with the biggest GDP per capita change from 1960 to 2020
gdp_countries |>
  filter(description == "GDP per capita") |>
  mutate(change = format(round(year_2020 - year_1960, 0), big.mark = ",")) |>
  select(country, change, year_1960, year_2020) |>
  na.omit() |>
  arrange(desc(change)) |>
  top_n(n = 10)