how to add data labels to geom_histogram

[dummy0304]

Hi, I try to create a histogram to show the distribution of sick days reported by our organization.

below is my code.
ggplot(data,mapping=aes(x=Annualized.Sick.Days,y=..count..,label=..count..,fill=Direct.Indirect))+
geom_histogram(binwidth=10,color="white")+
scale_x_continuous(breaks = seq(30, 100, 10), lim = c(30, 100))+
theme_classic2() +
geom_text(stat="bin", size=2,vjust=0)

Unfortunately, the labels are not in place, it looks there are more data labels than it should be.

[nirgrahamuk]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.2…

[FJCC]

If the following does not solve your problem, please follow nirgrahanuk's advice and provide a reprex.
Notice I put the breaks argument in both geom_histogram and geom_text.

library(ggplot2)
DF <- data.frame(Direct.Indirect=rep(c("Direct","Indirect"),100),
                 Annualized.Sick.Days=runif(100,30,100))
ggplot(DF,mapping=aes(x=Annualized.Sick.Days,label=..count..,fill=Direct.Indirect))+
  geom_histogram(binwidth=10,color="white",breaks = seq(30, 100, 10))+
  theme_classic() +
  geom_text(stat="bin", size=2,vjust=0,breaks = seq(30, 100, 10),position="stack")

^{Created on 2020-11-08 by the reprex package (v0.3.0)}