A violin plot is similar to the box plot, except for one additional feature. In the box plot, you can visualize the mean whereas, in the violin plot, you can even visualize the distribution of data. The white point present at the center of the plot indicates the mean point. The thick grey line at the center represents the interquartile range, and the thin grey line represents the distribution except for outliners.
Why do you need it?
We use this plot as it can be an attractive and effective way to see the distribution of data and compare it categorically. Violin plot shows more information than a box plot, but still, it’s not popular as if our dataset has small data, then it can indicate misleading conclusions.
What kind of data you can visualize with it?
A violin plot can easily plot numeric-data. If you have a dataset with a dimension and a measure, then this plot could be beneficial. The main advantage is that you can compare the dimensions based on the measure just with a sight.