I have a dataset which looks like this:

Smoking population
1      yes     group1
2      yes     group3
3      yes     group2
4       no     group1
5       no     group1
6      yes     group3
7       no     group2
8      yes     group2
9      yes     group3
10      no     group1
11      no     group1
12      no     group3
13     yes     group2
14      no     group2
15      no     group1
16     yes     group1
17     yes     group2
18      no     group3
19      no     group3
20     yes     group1
21      no     group3

I am trying to plot population on the x axis and count on the y axis for yes and no like this:

library(tidyverse)
    df %>%
      ggplot(aes(x = population , color = Smoking, fill = Smoking)) +
      geom_bar(position = 'dodge')+ 
      theme(axis.text.x = element_text(angle=90, vjust=.5, hjust=1))

I need to add the count at the top of the bars. How can I do that?

>Solution :

This changed in ggplot 3.4.0 (November 2022). If you search for questions on this you’ll see a lot of code that uses either stat() or ..count...

However, this was deprecated in 3.4.0. You can now use after_stat(count) to calculate the counts:

ggplot(df, aes(x = population, color = Smoking, fill = Smoking)) +
    geom_bar(position = "dodge") +
    theme(axis.text.x = element_text(angle = 90, vjust = .5, hjust = 1)) +
    geom_text(
        stat = "count",
        aes(
            label = ..count..
        ),
        position = position_dodge(),
        color = "black",
        size = 8,
        vjust = -0.2
    )