gdp_countries {openintro} | R Documentation |
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
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)
[Package openintro version 2.4.0 Index]