# Plotting Categorical Variable with Percentage Points Instead of Counts on Y-Axis in R (2 Examples)

In this R article you’ll learn how to **draw categories of a variable with percentage points on the y-axis**.

The post consists of two examples for the plotting of data in R. To be more precise, the page looks as follows:

Here’s the step-by-step process!

## Creating Example Data

We’ll use the data below as basement for this R programming tutorial:

set.seed(927456) # Creating example data data <- data.frame(x = sample(LETTERS[1:5], 200, replace = TRUE)) head(data) # Printing head of example data # x # 1 A # 2 C # 3 D # 4 C # 5 E # 6 C |

set.seed(927456) # Creating example data data <- data.frame(x = sample(LETTERS[1:5], 200, replace = TRUE)) head(data) # Printing head of example data # x # 1 A # 2 C # 3 D # 4 C # 5 E # 6 C

As you can see based on the previous output of the RStudio console, our example data has only one column consisting of categorical values.

## Example 1: Barchart with Percentage on Y-Axis Using barplot() Function of Base R

The following R programming code explains how to show percentage points of the y-axis of a barplot created with the basic installation of the R programming language.

For this task, we first have to convert our data frame to a matrix consisting of the percentages of each category:

data_perc <- t(prop.table(table(data$x))) * 100 # Convert data to probability table |

data_perc <- t(prop.table(table(data$x))) * 100 # Convert data to probability table

Now, we can draw our barchart with percentage points on the y-axis as shown below:

barplot(data_perc, ylab = "Percent") # Draw barchart with Base R |

barplot(data_perc, ylab = "Percent") # Draw barchart with Base R

As shown in Figure 1, the previous code created a Base R barchart with %-points on the y-axis.

## Example 2: Barchart with Percentage on Y-Axis Using ggplot2 Package

This section illustrates how to plot a ggplot2 graph with percentage points instead of counts on the y-axis.

We first need to install and load the ggplot2 package:

install.packages("ggplot2") # Install & load ggplot2 package library("ggplot2") |

install.packages("ggplot2") # Install & load ggplot2 package library("ggplot2")

Furthermore, we have to install and load the scales package:

install.packages("scales") # Install & load scales package library("scales") |

install.packages("scales") # Install & load scales package library("scales")

Now, we can draw our graphic as follows:

ggplot(data, aes(x)) + # Draw barchart with ggplot2 package geom_bar(aes(y = (..count..)/sum(..count..))) + scale_y_continuous(labels = percent) |

ggplot(data, aes(x)) + # Draw barchart with ggplot2 package geom_bar(aes(y = (..count..)/sum(..count..))) + scale_y_continuous(labels = percent)

The output of the previous R programming code is shown in Figure 2 – A ggplot2 barplot with % on the y-axis instead on counting numbers.

## Video, Further Resources & Summary

In case you need further explanations on the examples of this tutorial, you could have a look at the following video of my YouTube channel. In the video, I explain the R programming codes of the present article:

*The YouTube video will be added soon.*

Furthermore, you could have a look at the other articles of this homepage:

- Change Y-Axis to Percentage Points in ggplot2 Barplot
- Keep Unused Factor Levels in ggplot2 Barplot
- Barplot in Base R
- Assign Fixed Colors to Categorical Variable in ggplot2 Plot
- Graphics in R
- The R Programming Language

Summary: You learned on this page how to **plot categories instead of counts in a barchart** in the R programming language. If you have any additional questions, let me know in the comments. Furthermore, please subscribe to my email newsletter in order to receive updates on the newest articles.

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