Grouped and Stacked barplot | the R Graph Gallery

Step by step - ggplot2

ggplot2 is probably the best option to build grouped and stacked barchart. The input data frame requires to have 2 categorical variables that will be passed to the x and fill arguments of the aes() function. Toggling from grouped to stacked is pretty easy thanks to the position argument.

Basic grouped barplot

The most basic grouped barplot you can build with R and ggplot2.

Basic Stacked barplot

Instead of having subgroups one beside another, they are on top of each other.

Percent stacked

A parcent stacked barchart with R and ggplot2: each bar goes to 1, and show the proportion of each subgroup.

Customization

Apply some classic customization like title, color palette, theme and more.

Small multiple

Small multiple can be an alternartive to grouped barplot.

Circular Stacked Barchart

A barchart can look pretty good using a circular layout, even if there are some caveats associated. If it interests you, visit the circular barchart section.

Code Circular section

Stacked barplot for evolution

Stacked area chart are sometimes used to study an evolution using each group on the X axis as a timestamp. There are many alternatives to that, like streamgraph or area chart:

Learn more

Most basic streamchart

The most basic streamchart you can build with R and the streamgraph package.

Line chart.

Switch to a line chart to understand better how each group behaved during the period.

Small multiple

Small multiple is probably the best alternative, making obvious the evolution of each gropup.

Base R

A stacked area chart showing the evolution of a few baby names in the US. Zoom on a specific time frame through brushing. Highlight a specific group by hovering the legend. Double click to unzoom.

Grouped barplot

How to build a grouped barchart with base R

Stacked barplot

Put subgroups on top of each other in a stacked barplot

Percent stacked barplot

Compare proportion in the whole with a percent stacked barchart

Likert package

The Likert package allows to build visualization for questionnaire answers