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How to create bar plot with log values using ggplot2 in R?
To create the bar plot using ggplot2, we simply need to use geom_bar function and if we want to have the log scale of y variable then it can be set with aes under geom_bar. For example, if we have a data frame called df that contains a categorical column x and a numerical column y then the bar plot with log of y can be created by using the below command −
ggplot(df,aes(x,y))+geom_bar(stat="identity",aes(y=log(y)))
Example
Consider the below data frame −
> x<-c("S1","S2","S3","S4")
> y<-sample(10000:99999,4)
> df<-data.frame(x,y)
> dfOutput
x y 1 S1 53347 2 S2 84208 3 S3 12140 4 S4 59105
Loading ggplot2 package and creating bar chart for data in df −
> library(ggplot2) > ggplot(df,aes(x,y))+geom_bar(stat="identity")
Output
Creating bar chart for data in df with log of y −
> ggplot(df,aes(x,y))+geom_bar(stat="identity",aes(y=log(y)))
Output
Updated on: 05-Mar-2021
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