How to create a bar plot with ggplot2 using stat_summary in R?

There are multiple ways to create a bar plot in R and one such way is using stat_summary of ggplot2 package. In this function, we need to supply a function for the y-axis and to create the bars we must use geom="bar". The main thing is to decide which function should be used for y-axis values.

Example

Consider the below data frame:

Live Demo

> x<-sample(c("Male","Female"),20,replace=TRUE)
> y<-rpois(20,5)
> df<-data.frame(x,y)
> df

Output

    x    y
1 Female 3
2 Male 3
3 Female 7
4 Male 3
5 Female 8
6 Female 5
7 Male 11
8 Male 6
9 Male 5
10 Female 3
11 Female 2
12 Female 7
13 Male 6
14 Female 5
15 Male 3
16 Male 6
17 Female 9
18 Female 6
19 Female 8
20 Female 3

Loading ggplot2 package and creating bar plot using stat_summary:

Example

> library(ggplot2)
> ggplot(df,aes(x,y))+stat_summary(fun="mean",geom="bar")

Output