Ggplot2 Dual Axis Bar Chart Example

Create Pareto charts in ggplot2 with custom legends using manual scales and ggtext. I had to produce a dual axis chart as part of a piece of work transitioning an Excel report to markdown. I thought I'd do a walkthrough of a chart that is similar in style, but different in content than the one I produced at work.

How to draw a line and a barplot in the same graphic in the R programming language. More details httpsstatisticsglobe.comcombine-ggplot2-line-barchart-d

sec.axis does not allow to build an entirely new Y axis. It just builds a second Y axis based on the first one, applying a mathematical transformation. In the example below, the second Y axis simply represents the first one multiplied by 10, thanks to the trans argument that provides the .10 mathematical statement.

Since the secondary axis needs to be in percentage we have to use the scale factor of 0.01 and write the formula of conversion in the trans argument of sec_axis . And you are scaling with 0.01 in the formula, you also have to multiply the same axis with 100 in the geom_line in order to make balance in scaling. Example R

Add the dual axis. This needed a bit of jiggery-pokery to get the second axis on a reasonable scale. If you haven't done this before, you define that you want a secondary axis with the sec_axis argument to scale_y_continuous. You will need to transform it - here I am telling it to divide the value by 10,000.

hadley I agree. ggplot absolutley 100 needs dual axis. thousands of people will continue to use dual axis each day and it'd be great to have them in r. its a painful oversight. I am taking data out of r and into excel. -

By executing the previous code we have plotted Figure 1, i.e. a ggplot2 bargraph without any lines or secondary y-axes. Let's modify this plot! Example 1 Add Line to ggplot2 Barplot. Example 1 illustrates how to overlay a line on top of a ggplot2 barchart. To achieve this, we can apply the geom_line function as shown below.

When visualizing data, we often need to show different types of data on the same graph. For example, we might want to display monthly revenue on one axis and the number of visitors on the other. In such cases, ggplot2's dual Y-axis sec.axis feature helps us compare the data more effectively.

Instructional video on creating a dual axis bar-chart with R using the ggplot library.Companion website httpsPeterStatistics.comR script and data file av

The Goal As a data scientist you often find yourself creating a notebook documenting a new model or an update to an existing model. Recently in this particular situation I was analyzing how my model was performing within windows of time throughout the prediction window. I wanted a visualization to show these results. The Problem