Creating basic Violin Plots
Here, is a basic violin plot made using the geom_violin() function. We have used the diamonds data frame in this plot which is provided by the R language natively.
R
# load library ggplot2 library (ggplot2) # Basic violin plot # diamonds dataframe has been used here # diamonds dataframe is provided by R language natively. ggplot (diamonds, aes (x=cut, y=price)) + # geom_violin() function is used to plow violin plot geom_violin () |
Output:
How To Make Violin Plots with ggplot2 in R?
Violin plots help us to visualize numerical variables from one or more categories. They are similar to box plots in the way they show a numerical distribution using five summary-level statistics. But violin plots also have the density information of the numerical variables. It allows visualizing the distribution of several categories by displaying their densities.
In this article, we will discuss how to plot a violin plot with the help of the ggplot2 library in R Programming Language. To plot a violin plot using the ggplot2 package we use the geom_violin() function.
Syntax: ggplot( dataframe, aes( x, y, fill, color)) + geom_violin()
Parameters:
- dataframe: determines the dataset used in the plot.
- fill: determines the color of background of interior of the plot.
- color: determines the color of boundary of plot.