Aviolin plot is astatistical graphic for comparingprobability distributions. It is similar to abox plot, with the addition of a rotatedkernel density plot on each side.[1]
The violin plot was proposed in 1997 by Jerry L. Hintze and Ray D. Nelson as a way to display even more information thanbox plots, which were created byJohn Tukey in 1977.[2] The name comes from the plot's alleged resemblance to aviolin.[2]
Violin plots are similar tobox plots, except that they also show theprobability density of the data at different values, usually smoothed by akernel density estimator. A violin plot will include all the data that is in a box plot: a marker for the median of the data; a box or marker indicating the interquartile range; and possibly all sample points, if the number of samples is not too high.
While a box plot shows a summary statistics such as mean/median and interquartile ranges, the violin plot shows the full distribution of the data. The violin plot can be used in multimodal data (more than one peak). In this case a violin plot shows the presence of different peaks, their position and relative amplitude.
Like box plots, violin plots are used to represent comparison of a variable distribution (or sample distribution) across different "categories" (for example, temperature distribution compared between day and night, or distribution of car prices compared across different car makers).
A violin plot can have multiple layers. For instance, the outer shape represents all possible results. The next layer inside might represent the values that occur 95% of the time. The next layer (if it exists) inside might represent the values that occur 50% of the time.
Violin plots are less popular than box plots. Violin plots may be harder to understand for readers not familiar with them. In this case, a more accessible alternative is to plot a series of stacked histograms orkernel density plots.
The original meaning of "violin plot" was a combination of a box plot and a two-sided kernel density plot.[1] However, currently "violin plots" are sometimes understood just as two-sided kernel density plots, without a box plot or any other elements.[3][4]
This article incorporatespublic domain material fromDataplot reference manual: Violin plot.National Institute of Standards and Technology.
