I have such a sample data:
name <- rep(c("ba", "EW", "RW", "Se", "St", "US", "VN"), 2)
value <- c(0, 6323, 7397, 13945, 11801, 55255, 22519, 4124, 13540, 9616, 57724, 6646, 22021, 8841)
type <- c(rep("g", 7), rep("o", 7))
test <- data.frame(name, value, type)
And have created a plot using the code:
ggplot(test, aes(x=name, y=value, fill=type)) +
geom_bar(position = position_stack(reverse = TRUE), stat='identity') +
theme(plot.title = element_text(hjust = 0.5)) +
scale_fill_manual(values = c("#0099f9", "#69c6ff")) +
geom_text(aes(label = value), position = position_stack(vjust = 0.5), colour = "black", size = 3) +
guides(fill = guide_legend(title = "", reverse = TRUE))
The data labels are not centered in each block: plot
I used the solution from Showing data values on stacked bar chart in ggplot2 and (R) ggplot2 labels not centered properly, but the
position = position_stack(vjust = 0.5)
in geom_text didn't help
Why is it the case and what else can I do?
Editted: Thanks to Stefan for correcting my solution. One more question is I want to add another Y axis with the data:
name2 <- c("ba", "EW", "RW", "Se", "St", "US", "VN")
share <- c("100%", "61%", "47%", "80%", "34%", "28%", "28%")
test2 <- data.frame(name2, share)
So basically they use the same x axis and the share is the percentage from type o / (type g + type o)
I've seen the long discussion whether dual axes makes sense https://www.perceptualedge.com/articles/visual_business_intelligence/dual-scaled_axes.pdf but I just need to have it, how can I do this using ggplot2?
You have to reverse
the order of the stack for the labels too, i.e. use position_stack(vjust = 0.5, reverse = TRUE)
for geom_text
:
library(ggplot2)
ggplot(test, aes(x = name, y = value, fill = type)) +
geom_bar(position = position_stack(reverse = TRUE), stat = "identity") +
theme(plot.title = element_text(hjust = 0.5)) +
scale_fill_manual(values = c("#0099f9", "#69c6ff")) +
geom_text(aes(label = value),
position = position_stack(vjust = 0.5, reverse = TRUE),
colour = "black", size = 3
) +
guides(fill = guide_legend(title = "", reverse = TRUE))