Create Basic Boxplot
We can create a basic boxplot by using the geom_boxplot() function of the ggplot2 package in the R Language.
Syntax:
ggplot(dataframe, aes( x, y, color ) ) + geom_boxplot()
Example:
In this example, a basic boxplot is made using the geom_boxplot function of the ggplot2 package.
The CSV file used in the example can be downloaded here.
R
# Load library ggplot2 library (ggplot2) # read sample_data from csv as a dataframe sample_data <- read.csv ( "df.csv" ) # use sample_data to plot a boxplot # Color the plot by group using color parameter ggplot (sample_data, aes (x=group, y=value, color=group))+ geom_boxplot () |
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