Reputation: 129
data <- data.frame(Country = c("Mexico","USA","Canada","Chile"), Per = c(15.5,75.3,5.2,4.0))
I tried set position of labels.
ggplot(data =data) +
geom_bar(aes(x = "", y = Per, fill = Country), stat = "identity", width = 1) +
coord_polar("y", start = 0) +
theme_void()+
geom_text(aes(x = 1.2, y = cumsum(Per), label = Per))
But pie chart actually look like:
Upvotes: 5
Views: 9134
Reputation: 17648
You have to sort the data before calculating the cumulative sum. Then, you can optimize label position, e.g. by subtracting half of Per
:
library(tidyverse)
data %>%
arrange(-Per) %>%
mutate(Per_cumsum=cumsum(Per)) %>%
ggplot(aes(x=1, y=Per, fill=Country)) +
geom_col() +
geom_text(aes(x=1,y = Per_cumsum-Per/2, label=Per)) +
coord_polar("y", start=0) +
theme_void()
PS: geom_col
uses stat_identity by default: it leaves the data as is.
Or simply use position_stack
data %>%
ggplot(aes(x=1, y=Per, fill=Country)) +
geom_col() +
geom_text(aes(label = Per), position = position_stack(vjust = 0.5))+
coord_polar(theta = "y") +
theme_void()
From the help:
# To place text in the middle of each bar in a stacked barplot, you
# need to set the vjust parameter of position_stack()
Upvotes: 7