world_pop: World Population Data.
In npaterno/data_hunter: Data set repository for OpenIntro textbooks

world_pop

R Documentation

World Population Data.

Description

From World Bank, population 1960-2020

Usage

world_pop

Format

A data frame with 216 rows and 62 variables.

country: Name of country.
year_1960: population in 1960.
year_1961: population in 1961.
year_1962: population in 1962.
year_1963: population in 1963.
year_1964: population in 1964.
year_1965: population in 1965.
year_1966: population in 1966.
year_1967: population in 1967.
year_1968: population in 1968.
year_1969: population in 1969.
year_1970: population in 1970.
year_1971: population in 1971.
year_1972: population in 1972.
year_1973: population in 1973.
year_1974: population in 1974.
year_1975: population in 1975.
year_1976: population in 1976.
year_1977: population in 1977.
year_1978: population in 1978.
year_1979: population in 1979.
year_1980: population in 1980.
year_1981: population in 1981.
year_1982: population in 1982.
year_1983: population in 1983.
year_1984: population in 1984.
year_1985: population in 1985.
year_1986: population in 1986.
year_1987: population in 1987.
year_1988: population in 1988.
year_1989: population in 1989.
year_1990: population in 1990.
year_1991: population in 1991.
year_1992: population in 1992.
year_1993: population in 1993.
year_1994: population in 1994.
year_1995: population in 1995.
year_1996: population in 1996.
year_1997: population in 1997.
year_1998: population in 1998.
year_1999: population in 1999.
year_2000: population in 2000.
year_2001: population in 2001.
year_2002: population in 2002.
year_2003: population in 2003.
year_2004: population in 2004.
year_2005: population in 2005.
year_2006: population in 2006.
year_2007: population in 2007.
year_2008: population in 2008.
year_2009: population in 2009.
year_2010: population in 2010.
year_2011: population in 2011.
year_2012: population in 2012.
year_2013: population in 2013.
year_2014: population in 2014.
year_2015: population in 2015.
year_2016: population in 2016.
year_2017: population in 2017.
year_2018: population in 2018.
year_2019: population in 2019.
year_2020: population in 2020.

Source

World Bank

Examples

library(dplyr)
library(ggplot2)
library(tidyr)

# List percentage of population change from 1960 to 2020
world_pop %>%
  mutate(percent_change = round((year_2020-year_1960)/year_2020*100,2)) %>%
  mutate(rank_pop_change = round(rank(-percent_change)),0) %>%
  select(rank_pop_change,country,percent_change) %>%
  arrange(rank_pop_change)

 # Graph population in millions by decade for specified countries
world_pop %>%
 select(c(country,year_1960, year_1970,year_1980,year_1990, year_2000,year_2010,year_2020)) %>%
 filter(country %in% c("China","India", "United States")) %>%
 pivot_longer(cols = c(year_1960, year_1970, year_1980, year_1990, year_2000, year_2010, year_2020),
              names_to = "year",
              values_to = "population") %>% 
 mutate(year = as.numeric(gsub("year_", "", year)))%>% 
 ggplot(aes(year,population, color=country)) + 
 geom_point() + 
 geom_smooth(method="loess",formula = "y ~ x") +
 labs(title="Population", subtitle = "by Decade", 
      x = "Year", y ="Population (in millions)", 
      color = "Country")

npaterno/data_hunter documentation built on July 22, 2022, 10:20 a.m.