Violin Plots in Power BI

Published On: 2019-02-14By:

In case you aren’t familiar, I would like to introduce you to the violin plot.

A violin plot is a nifty chart that shows both distribution and density of data. It’s essentially a box plot with a density plot on each side. Box plots are a common way to show variation in data, but their limitation is that you can’t see frequency of values. In other words, you can see statistics such as min, max, median, mean, or quartiles, but you can’t see the individual values nor how often they occurred.

example box plot
Example box plot showing min, max, median, and quartiles

The violin plot overcomes this limitation (by adding the density plot) without taking up much more room on the canvas.

In Power BI, you can quickly make a violin plot using a custom visual. The Violin Plot custom visual (created by Daniel Marsh-Patrick) has many useful formatting options. First, you can choose to turn off the box plot and just show the density plot. Or you can choose to trade the box plot for a barcode plot.

box plot with bar code plot
Box plot with barcode plot in Power BI

Formatting the Violin Plot

There are several sections of formatting for this visual. I’ll call out a few important options here. First, the Violin Options allow you to change the following settings related to the density plot portion of the violin plot.

Formatting options for the density plot in the violin plot.

Inner padding controls the space between each violin. Stroke width changes the width of the outline of the density plot. The sampling resolution controls the detail in the outline of the density plot. Check out Wikipedia to learn more about the kernel density estimation options.

The Sorting section allows you to choose the display order of the plots. In the example above, the sort order is set to sort by category. You can then choose whether the items should be sorted ascending or descending.

Sorting options for the violin plot in Power BI

Next you can choose the color and transparency of your density plot. You have the ability to choose a different color for each plot (violin), but please don’t unless you have a good reason to do so.

Data colors controls the color of the density plot

The Combo Plot section controls the look of the bar code plot or box plot. Inner padding determines the width of the plot. Stroke width controls the width of the individual lines in the bar code plot, or the outline and whiskers in the box plot. You can change the box or bar color in this section. For the barcode plot, you can choose whether you would like to show the first and third quartiles and the median the color, line thickness, and line style of their markers.

Also make sure to check out the Tooltip section. It allows you to show various statistics in the tooltip without having to calculate them in DAX or show them elsewhere in the visual.

Violin Plot Custom Visual Issues & Limitations

This is a well designed custom visual, but there are a couple of small things I hope will be enhanced in the future.

  1. The mean and standard deviation in the tooltip are not rounded to a reasonable amount of digits after the decimal.
  2. The visual does not seem to respond to the Show Data keyboard command that places data in a screen reader friendly table.

As always, make sure to read the fine print about what each custom visual is allowed to do. Make sure you understand the permissions you are granting and that you and your organization are ok with them. For example, I used public weather data in my violin plot, so I had no concerns about sending the data over the internet. I would be more cautious if I were dealing with something more sensitive like patient data in a hospital.

Introducing the Violin Plot to Your Users

I think violin plots (especially the flavor with the bar code plot) are fairly easy to read once you have seen one, but many people may not be familiar with them. In my weather example above, I made an extra legend to help explain what the various colors of lines mean.

Another thing you might consider is adding an explainer on how to read the chart. I used a violin plot with a coworker who does not nerd out on data viz to show query costs from queries executed in SQL Server, and I added an image that explains how to read the chart.

Example explanation of how to read a violin plot

After all, we use data visualization to analyze and present data effectively. If our users don’t understand it, we aren’t doing our job well.

Have you used the violin plot in Power BI? Leave me a comment about what kind of data you used it with and how you liked the resulting visual.


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