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bundestag_pie.Rmd
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bundestag_pie.Rmd
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---
title: "Bundestag pie chart"
output:
html_document:
df_print: paged
---
The dviz.supp package contains the dataset we are working with.
```{r}
# devtools::install_github("clauswilke/dviz.supp")
```
The data, shown in table form and basic pie-chart form.
```{r message = FALSE}
library(tidyverse)
bundestag <- dviz.supp::bundestag %>%
select(party, seats, colors)
bundestag
ggplot(bundestag, aes(x = 1, y = seats, fill = party)) +
geom_col() +
coord_polar(theta = "y")
```
We could try to style this pie chart to make it look the way we want, but I usually find it easier to draw pie charts in cartesian coordinates, using `geom_arc_bar()` from ggforce. This requires a little more data preparation up front but gives much more predictable results on the back end.
```{r}
library(ggforce) # for geom_arc_bar()
bund_pie <- bundestag %>%
arrange(seats) %>%
mutate(
end_angle = 2*pi*cumsum(seats)/sum(seats), # ending angle for each pie slice
start_angle = lag(end_angle, default = 0), # starting angle for each pie slice
mid_angle = 0.5*(start_angle + end_angle), # middle of each pie slice, for the text label
# horizontal and vertical justifications depend on whether we're to the left/right
# or top/bottom of the pie
hjust = ifelse(mid_angle > pi, 1, 0),
vjust = ifelse(mid_angle < pi/2 | mid_angle > 3*pi/2, 0, 1)
)
bund_pie
# radius of the pie and radius for outside and inside labels
rpie = 1
rlabel_out = 1.05 * rpie
rlabel_in = 0.6 * rpie
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = party
)
) +
coord_fixed()
```
Next we add labels representing the numbers of seats for each party.
```{r}
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = party
)
) +
geom_text(
aes(
x = rlabel_in * sin(mid_angle),
y = rlabel_in * cos(mid_angle),
label = seats
),
size = 14/.pt # use 14 pt font size
) +
coord_fixed()
```
And we provide labels for the parties outside of the pie.
```{r}
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = party
)
) +
geom_text(
aes(
x = rlabel_in * sin(mid_angle),
y = rlabel_in * cos(mid_angle),
label = seats
),
size = 14/.pt
) +
geom_text(
aes(
x = rlabel_out * sin(mid_angle),
y = rlabel_out * cos(mid_angle),
label = party,
hjust = hjust, vjust = vjust
),
size = 14/.pt
) +
coord_fixed()
```
We see that we need to make some space for the outside labels. We can do that by manually setting the scale limits and expansion.
```{r}
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = party
)
) +
geom_text(
aes(
x = rlabel_in * sin(mid_angle),
y = rlabel_in * cos(mid_angle),
label = seats
),
size = 14/.pt
) +
geom_text(
aes(
x = rlabel_out * sin(mid_angle),
y = rlabel_out * cos(mid_angle),
label = party,
hjust = hjust, vjust = vjust
),
size = 14/.pt
) +
scale_x_continuous(
name = NULL,
limits = c(-1.5, 1.5),
expand = c(0, 0)
) +
scale_y_continuous(
name = NULL,
limits = c(-1.05, 1.15),
expand = c(0, 0)
) +
coord_fixed()
```
This plot shows how using a cartesian coordinate system is helpful. We can see exactly where elements lie and how we need to expand the limits to fully show all the labels. We have expanded the x axis limits by the same amount so that the final pie chart is centered in the drawing area.
Next we change the pie colors. The dataset provides appropriate party colors, and we use those directly with `scale_fill_identity()`. Note that this scale eliminates the legend. We don't need a legend anyways, because we have direct labeled the pie slices.
```{r}
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = colors
)
) +
geom_text(
aes(
x = rlabel_in * sin(mid_angle),
y = rlabel_in * cos(mid_angle),
label = seats
),
size = 14/.pt
) +
geom_text(
aes(
x = rlabel_out * sin(mid_angle),
y = rlabel_out * cos(mid_angle),
label = party,
hjust = hjust, vjust = vjust
),
size = 14/.pt
) +
scale_x_continuous(
name = NULL,
limits = c(-1.5, 1.5),
expand = c(0, 0)
) +
scale_y_continuous(
name = NULL,
limits = c(-1.05, 1.15),
expand = c(0, 0)
) +
scale_fill_identity() +
coord_fixed()
```
The black color for the text labels doesn't work well on top of the dark fill colors, and the black outline also looks overbearing, so we'll change those colors to white.
```{r}
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = colors
),
color = "white"
) +
geom_text(
aes(
x = rlabel_in * sin(mid_angle),
y = rlabel_in * cos(mid_angle),
label = seats
),
size = 14/.pt,
color = c("black", "white", "white")
) +
geom_text(
aes(
x = rlabel_out * sin(mid_angle),
y = rlabel_out * cos(mid_angle),
label = party,
hjust = hjust, vjust = vjust
),
size = 14/.pt
) +
scale_x_continuous(
name = NULL,
limits = c(-1.5, 1.5),
expand = c(0, 0)
) +
scale_y_continuous(
name = NULL,
limits = c(-1.05, 1.15),
expand = c(0, 0)
) +
scale_fill_identity() +
coord_fixed()
```
Finally, we need to apply a theme that removes the background grid and axes
```{r message = FALSE}
library(cowplot) # for theme_map()
ggplot(bund_pie) +
geom_arc_bar(
aes(
x0 = 0, y0 = 0, r0 = 0, r = rpie,
start = start_angle, end = end_angle, fill = colors
),
color = "white"
) +
geom_text(
aes(
x = rlabel_in * sin(mid_angle),
y = rlabel_in * cos(mid_angle),
label = seats
),
size = 14/.pt,
color = c("black", "white", "white")
) +
geom_text(
aes(
x = rlabel_out * sin(mid_angle),
y = rlabel_out * cos(mid_angle),
label = party,
hjust = hjust, vjust = vjust
),
size = 14/.pt
) +
scale_x_continuous(
name = NULL,
limits = c(-1.5, 1.5),
expand = c(0, 0)
) +
scale_y_continuous(
name = NULL,
limits = c(-1.05, 1.15),
expand = c(0, 0)
) +
scale_fill_identity() +
coord_fixed() +
theme_map()
```