Reputation: 177
can somebody explain to me why i can't add labels to this pie chart?
> dput (test)
structure(list(Status = c("Isolamento domiciliare", "Ricoverati con sintomi",
"Terapia intensiva", "Deceduti", "Dimessi guariti"), label = c("69.03%",
"17.70%", "12.39%", "0.88%", "0.00%"), value = c(78, 20, 14,
1, 0)), row.names = c(NA, -5L), class = c("tbl_df", "tbl", "data.frame"
))
this is the code im using for the plot:
ggplot(test, aes(x="", y=value, fill=Status)) +
geom_bar(stat="identity", width=1, color="white") +
coord_polar("y", start=0) +
theme_void()+ labs(fill = "Situazione attuale")
Thanks in advance
Upvotes: 1
Views: 116
Reputation: 16178
With polar coordinates, you need to define some position for your labels. Here, we can define these position as this:
library(dplyr)
test2 <- test %>%
arrange(desc(Status)) %>%
mutate(percent = value / sum(value)*100) %>%
mutate(ypos = cumsum(percent)-0.5*percent)
# A tibble: 5 x 5
Status label value percent ypos
<chr> <chr> <dbl> <dbl> <dbl>
1 Terapia intensiva 12.39% 14 12.4 6.19
2 Ricoverati con sintomi 17.70% 20 17.7 21.2
3 Isolamento domiciliare 69.03% 78 69.0 64.6
4 Dimessi guariti 0.00% 0 0 99.1
5 Deceduti 0.88% 1 0.885 99.6
Then, you can add this label to your plot. However, as you have very close values (0 and 0.88%), those will probably overlap. So, you could use geom_text_repel
instead but it will also change the position of other labels. So, I decided to add big values as regular geom_text
and small values with geom_text_repel
and you get the following:
library(ggrepel)
library(ggplot2)
ggplot(test2,aes(x="", y=percent, fill=Status)) +
geom_bar(stat="identity", width=1, color="white") +
coord_polar("y", start=0) +
theme_void()+ labs(fill = "Situazione attuale")+
geom_text(data = subset(test2, value >2), aes(label = label, y = ypos))+
geom_text_repel(data = subset(test2, value <2), aes(label = label, y = ypos))
EDIT: Placing labels outside of the pie chart
If you want to place your labels outside of the pie chart, you can attribute them a x value as follow:
ggplot(test2,aes(x=1, y=percent, fill=Status)) +
geom_bar(stat="identity", width=1, color="white") +
coord_polar("y", start=0) +
theme_void()+ labs(fill = "Situazione attuale")+
geom_text(data = subset(test2, value >2), aes(label = label, y = ypos, color = Status), show.legend = FALSE, x= 1.75)+
geom_text_repel(data = subset(test2, value <2), aes(label = label, y = ypos, color = Status), x = 1.75, show.legend = FALSE)+
expand_limits(x = c(1,1.8))
Does it answer your question ?
Upvotes: 1