Gapminder color schemes.

Description

Color schemes for the countries and continents in the Gapminder data.

Usage

country_colors

Format

Named character vectors giving country and continent colors:

country_colors

colors for the 142 countries

continent_colors

colors for the 5 continents

See Also

gapminder for a description of the dataset

Examples

# ggplot2 examples are below these base graphics examples!

# using country_colors with base graphics

# for convenience, integrate the country colors into the data.frame
gap_with_colors <-
  data.frame(gapminder,
    cc = I(country_colors[match(
      gapminder$country,
      names(country_colors)
    )])
  )

# bubble plot, focus just on Africa and Europe in 2007
keepers <- with(
  gap_with_colors,
  continent %in% c("Africa", "Europe") & year == 2007
)
plot(lifeExp ~ gdpPercap, gap_with_colors,
  subset = keepers, log = "x", pch = 21,
  cex = sqrt(gap_with_colors$pop[keepers] / pi) / 1500,
  bg = gap_with_colors$cc[keepers]
)

if (require(ggplot2)) {
  # with ggplot2, just provide country_colors to scale_color_manual():
  # ... + scale_color_manual(values = country_colors) + ...

  # simple line plot for 5 countries
  h_countries <- c("Egypt", "Haiti", "Romania", "Thailand", "Venezuela")
  h_dat <- droplevels(subset(gapminder, country %in% h_countries))
  h_dat$country <- with(h_dat, reorder(country, lifeExp, max))
  ggplot(h_dat, aes(x = year, y = lifeExp)) +
    geom_line(aes(color = country)) +
    scale_colour_manual(values = country_colors) +
    guides(color = guide_legend(reverse = TRUE))

  # spaghetti plot for lots of countries
  ggplot(
    subset(gapminder, continent != "Oceania"),
    aes(x = year, y = lifeExp, group = country, color = country)
  ) +
    geom_line(lwd = 1, show_guide = FALSE) +
    facet_wrap(~continent) +
    scale_color_manual(values = country_colors) +
    theme_bw() +
    theme(strip.text = element_text(size = rel(1.1)))

  # bubble plot for lots of countries
  gap_bit <- subset(gapminder, year == 2007 & continent != "Oceania")
  gap_bit <- gap_bit[with(gap_bit, order(continent, -1 * pop)), ]
  ggplot(gap_bit, aes(x = gdpPercap, y = lifeExp, size = pop)) +
    scale_x_log10(limits = c(150, 115000)) +
    ylim(c(16, 96)) +
    geom_point(pch = 21, color = "grey20", show_guide = FALSE) +
    scale_size_area(max_size = 40) +
    facet_wrap(~continent) +
    coord_fixed(ratio = 1 / 43) +
    aes(fill = country) +
    scale_fill_manual(values = country_colors) +
    theme_bw() +
    theme(strip.text = element_text(size = rel(1.1)))
}