Grouped Bar Chart R

Learn how to build grouped, stacked and percent stacked barplot with R. Several examples are provided with reproducible code and explanation, using base R and ggplot2.

In a grouped barplot, we add the third variable by splitting the bar. In this tutorial, we will see two examples of making grouped barplot using geom_col in ggplot2. At first we will make barplot with grouping variable vertically stacked. Next we will see how to make a grouped barplot, where the bars within each group are side by side.

A grouped barplot is a type of chart that displays quantities for different variables, grouped by another variable. This tutorial explains how to create grouped barplots in R using the data visualization library ggplot2.

Example 1 Drawing Grouped Barchart Using Base R In this example, I'll show how to use the basic installation of the R programming language to draw a barplot with groups.

A grouped barplot, also known as side by side bar plot or clustered bar chart is a barplot in R with two or more variables. The chart will display the bars for each of the multiple variables.

Sometimes you have a chart that looks like one of these. You have a grouped chart that shows one thing and a stacked chart that shows another. But you really want to show the continent of origin and the condition in one chart.

Bar Charts in R How to make a bar chart in R. Examples of grouped, stacked, overlaid, and colored bar charts. New to Plotly?

As RKR pointed out, ggplot expects factors while plotting a grouped bar chart. I also had a similar data but I wasn't reading the columns as factors due to other requirements and I wasn't able to plot a grouped bar till I identified this requirement.

This post explains how to build grouped, stacked and percent stacked barplot with R and ggplot2. It provides a reproducible example with code for each type.

Output Grouped Bar Chart A grouped bar chart also known as a clustered bar chart or a multi-series bar chart is a type of bar chart that plots numeric values for two categorical variables rather than one. For levels of one categorical variable, bars are grouped by position, with color representing the secondary category level within each group.