Create a bar plot of the categorical data
In this approach to create a bar plot of the categorical data, the user has to first install and import the ggplot2 package in the working R console, here the ggplot2 package is responsible to plot the ggplot2 barplot and providing various functionalities, then the user needs to call the geom_bar() function with the categorical data and then this will be returning a ggplot2 bar plot to the user containing the provided categories and their corresponding frequencies in the R programming language.
geom_bar() function is used to make the height of the bar proportional to the number of cases in each group.
Syntax:
geom_bar()
Example: Plotting bar graph of categorical data
R
library(ggplot2) data < - data.frame(x=c('M', 'F', 'M', 'F', 'M', 'F', 'M', 'F', 'M', 'F', 'M', 'F', 'M', 'M', 'M'), y=c('B', 'G', 'B', 'B', 'G', 'G', 'B', 'G', 'G', 'B', 'G', 'G', 'B', 'G', 'G'), a=c(8, 6, 6, 1, 2, 3, 7, 4, 4, 2, 5, 8, 1, 3, 2), b=c(5, 7, 7, 4, 5, 6, 7, 8, 8, 6, 9, 4, 1, 8, 1)) ggplot(data, aes(x=x)) + geom_bar() |
Output:
How to Plot Categorical Data in R?
In this article, we will be looking at different plots for the categorical data in the R programming language.
Categorical Data is a variable that can take on one of a limited, and usually fixed, a number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.