I\'d like to create a chart displaying the size of the seats to a parliament, such as the one below, in ggplot2. My main problem is, essentially, how do I turn a donut chart to
Would this work for you?
ggplot(df, aes(fill = Party, ymax = ymax, ymin = ymin, xmax = 2, xmin = 1)) + geom_rect() +
coord_polar(theta = "y",start=-pi/2) + xlim(c(0, 2)) + ylim(c(0,2))
Basically you just set the ylim
to be 2x your max so it only plots it on half. In this case we set the y limits to be from 0 to 2. Then you can offset the start in coord_polar(start=)
to get it in proper place.
To get labels etc you can use unit circle properties! I wrote a small function trying to recreate the style of the plot in your question :)
library(ggforce)
parlDiag <- function(Parties, shares, cols = NULL, repr=c("absolute", "proportion")) {
repr = match.arg(repr)
stopifnot(length(Parties) == length(shares))
if (repr == "proportion") {
stopifnot(sum(shares) == 1)
}
if (!is.null(cols)) {
names(cols) <- Parties
}
# arc start/end in rads, last one reset bc rounding errors
cc <- cumsum(c(-pi/2, switch(repr, "absolute" = (shares / sum(shares)) * pi, "proportion" = shares * pi)))
cc[length(cc)] <- pi/2
# get angle of arc midpoints
meanAngles <- colMeans(rbind(cc[2:length(cc)], cc[1:length(cc)-1]))
# unit circle
labelX <- sin(meanAngles)
labelY <- cos(meanAngles)
# prevent bounding box < y=0
labelY <- ifelse(labelY < 0.015, 0.015, labelY)
p <- ggplot() + theme_no_axes() + coord_fixed() +
expand_limits(x = c(-1.3, 1.3), y = c(0, 1.3)) +
theme(panel.border = element_blank()) +
theme(legend.position = "none") +
geom_arc_bar(aes(x0 = 0, y0 = 0, r0 = 0.5, r = 1,
start = cc[1:length(shares)],
end = c(cc[2:length(shares)], pi/2), fill = Parties)) +
switch(is.null(cols)+1, scale_fill_manual(values = cols), NULL) +
# for label and line positions, just scale sin & cos to get in and out of arc
geom_path(aes(x = c(0.9 * labelX, 1.15 * labelX), y = c(0.9 * labelY, 1.15 * labelY),
group = rep(1:length(shares), 2)), colour = "white", size = 2) +
geom_path(aes(x = c(0.9 * labelX, 1.15 * labelX), y = c(0.9 * labelY, 1.15 * labelY),
group = rep(1:length(shares), 2)), size = 1) +
geom_label(aes(x = 1.15 * labelX, y = 1.15 * labelY,
label = switch(repr,
"absolute" = sprintf("%s\n%i", Parties, shares),
"proportion" = sprintf("%s\n%i%%", Parties, round(shares*100)))), fontface = "bold",
label.padding = unit(1, "points")) +
geom_point(aes(x = 0.9 * labelX, y = 0.9 * labelY), colour = "white", size = 2) +
geom_point(aes(x = 0.9 * labelX, y = 0.9 * labelY)) +
geom_text(aes(x = 0, y = 0, label = switch(repr,
"absolute" = (sprintf("Total: %i MPs", sum(shares))),
"proportion" = "")),
fontface = "bold", size = 7)
return(p)
}
bt <- data.frame(parties = c("CDU", "CSU", "SPD", "AfD", "FDP", "Linke", "Grüne", "Fraktionslos"),
seats = c(200, 46, 153, 92, 80, 69, 67, 2),
cols = c("black", "blue", "red", "lightblue", "yellow", "purple", "green", "grey"),
stringsAsFactors = FALSE)
parlDiag(bt$parties, bt$seats, cols = bt$cols)
FWIW, one might also check out the nice ggforce package:
library(tidyverse)
library(ggforce)
library(scales)
df %>%
mutate_at(vars(starts_with("y")), rescale, to=pi*c(-.5,.5), from=0:1) %>%
ggplot +
geom_arc_bar(aes(x0 = 0, y0 = 0, r0 = .5, r = 1, start = ymin, end = ymax, fill=Party)) +
coord_fixed()