Create Diminutive Distribution Charts
‘The Economist’ has a unique boxplot aesthetic f or communicating distrribution characteristics. Tools are provided to create similar charts in ‘ggplot2’.
Inspired by: https://www.economist.com/united-states/2019/06/29/will-transparent-pricing-make-americas-health-care-cheaper
add_econodist_legend
: Helper utility to get an econodist legend into a ggplot2 ploteconodist_legend_grob
: Create a legend grob that can be used with econodist chartsgeom_econodist
: Econodist geom / statleft_align
: Helper to flush ggplot2 plot components to the leftmammogram_costs
: Cost of a mammogram in various U.S. Citites (2016, USD)theme_econodist
: A more current Economist-style ggplot2 theme
The following functions are implemented:
install.packages("ggeconodist", repos = "https://cinc.rud.is")
# or
remotes::install_git("https://git.rud.is/hrbrmstr/ggeconodist.git")
# or
remotes::install_git("https://git.sr.ht/~hrbrmstr/ggeconodist")
# or
remotes::install_gitlab("hrbrmstr/ggeconodist")
# or
remotes::install_bitbucket("hrbrmstr/ggeconodist")
# or
remotes::install_github("hrbrmstr/ggeconodist")
NOTE: To use the ‘remotes’ install options you will need to have the {remotes} package installed.
library(ggeconodist)
# current version
packageVersion("ggeconodist")
## [1] '0.1.0'
YOU WILL NEED to install these fonts to use the built-in theme. More on how to do that at some point.
ggplot(mammogram_costs, aes(x = city)) +
geom_econodist(
aes(ymin = tenth, median = median, ymax = ninetieth),
stat = "identity", show.legend = TRUE
) +
scale_y_continuous(expand = c(0,0), position = "right", limits = range(0, 800)) +
coord_flip() +
labs(
x = NULL, y = NULL,
title = "Mammoscams",
subtitle = "United States, prices for a mammogram*\nBy metro area, 2016, $",
caption = "*For three large insurance companies\nSource: Health Care Cost Institute"
) +
theme_econodist() -> gg
grid.newpage()
left_align(gg, c("subtitle", "title", "caption")) %>%
add_econodist_legend(econodist_legend_grob(), below = "subtitle") %>%
grid.draw()
library(dplyr)
library(patchwork)
library(hrbrthemes)
library(gapminder)
p <- ggplot(mpg, aes(class, hwy)) + theme_ipsum_rc()
(p + geom_boxplot()) +
(p + geom_econodist(width = 0.25)) +
plot_layout(ncol = 1)
(p + geom_boxplot() + coord_flip()) +
(p + geom_econodist(tenth_col = ft_cols$blue, ninetieth_col = ft_cols$red) +
coord_flip()) +
plot_layout(ncol = 1)
(p + geom_boxplot(aes(fill = factor(drv)))) +
(p + geom_econodist(aes(fill = factor(drv)))) +
plot_layout(ncol = 1)
gapminder %>%
filter(year %in% c(1952, 1962, 1972, 1982, 1992, 2002)) %>%
filter(continent != "Oceania") %>%
ggplot(aes(x = factor(year), y = lifeExp, fill = continent)) +
geom_econodist(
median_point_size = 1.2,
tenth_col = "#b07aa1",
ninetieth_col = "#591a4f",
show.legend = FALSE
) +
ggthemes::scale_fill_tableau(name = NULL) +
coord_flip() +
labs(
x = "Year", title = "Life Expectancy", y = NULL,
caption = "Example borrowed from @cmdline_tips"
) +
facet_wrap(~continent, nrow = 4) +
theme_ipsum_rc() -> gmgg
grid.newpage()
gmgg %>%
add_econodist_legend(
econodist_legend_grob(
tenth_col = "#b07aa1",
ninetieth_col = "#591a4f",
),
below = "axis-b-1-4",
just = "right"
) %>%
grid.draw()
Lang | # Files | (%) | LoC | (%) | Blank lines | (%) | # Lines | (%) |
---|---|---|---|---|---|---|---|---|
R | 10 | 0.91 | 398 | 0.85 | 76 | 0.72 | 137 | 0.77 |
Rmd | 1 | 0.09 | 69 | 0.15 | 30 | 0.28 | 40 | 0.23 |
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