A violin plot is a visual that combines a box plot and a kernel density plot.
A box plot lets you see basic distribution information about your data, such as median, mean, range and quartiles but doesn't show you how your data looks throughout its range. If you have a multimodal distribution (multiple peaks) or some confusion as to where things are clustered then it's not easy to figure this out.
A kernel density plot helps with this challenge by showing the variations in your data across its distribution. It works like a histogram, but uses kernel smoothing to provide a smoother curve where noise might otherwise be present.
Please refer to the example .pbix file, or the wiki at https://bitbucket.org/dm-p/power-bi-visuals-violin-plot for more details.
What's new in 1.1.0:
More detailed release notes can be viewed at https://bitbucket.org/dm-p/power-bi-visuals-violin-plot/wiki/Release%20Notes%20and%20Known%20Issues under the 126.96.36.199 heading.