Adding Data Points as Overlay
To add jittered data points as an overlay to the boxplot, we will use the geom_jitter() function of the ggplot2 package. This function adds a layer over the boxplot with actual points plotted over it.
Syntax:
ggplot(dataframe, aes( x, y, color ) ) + geom_boxplot() + geom_jitter()
Parameters:
- x is categorical variable
- y is quantitative variable
- z is categorical variable used in the color plot by the group.
Example:
In this example, a boxplot is made using the geom_boxplot function of the ggplot2 package. The actual data points are overlayed to boxplot using geom_jitter() function.
R
# Load library ggplot2library(ggplot2)# read sample_data from csv as a dataframesample_data <- read.csv("df.csv")# use sample_data to plot a boxplot# Add jitter points to boxplot using# geom_jitter() function ggplot(sample_data, aes(x=group, y=value, color=group))+ geom_boxplot()+ geom_jitter() |
Output:
How To Make Boxplots with Text as Points in R using ggplot2?
In this article, we will discuss how to make boxplots with text as points using the ggplot2 package in the R Programming language.
A box plot is a chart that shows data from a five-number summary including one of the measures of central tendency. These five summary numbers are Minimum, First Quartile, Median, Third Quartile, and Maximum which helps us in analyzing different statistical measures through visual representation.
To import & install ggplot2 package, we need to follow the below syntax:
install.package('ggplot2') # To install
import('ggplot2') # To import