Violin plot in ggplot2

By Data Tricks, 19 March 2019

Last modified 5 September 2019

Violin plots are similar to box plots, with the additional benefit of showing a kernel density distribution.

#Create some simulated data
data <- data.frame(Value = round(rnorm(n=100000, mean=100, sd=20),0),
                   Category = sample(c(1:2),100000,replace=TRUE))
data$Category <- as.character(data$Category)
#Set parameters for a theme in ggplot2
theme <- theme(panel.grid.major = element_blank(),
               panel.grid.minor = element_blank(),
               panel.background = element_blank(),
               axis.line.x = element_line(color="#919191", size = 0.1),
               axis.line.y = element_line(color="#919191", size = 0.1))
#Basic violin plot
gg <- ggplot(data, aes(x = Category, y = Value))
gg <- gg + geom_violin(aes(fill=Category))
gg <- gg + theme

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