Violin plot
A violin plot is a method of plotting numeric data. It is a box plot with a rotated kernel density plot on each side.[1]
The violin plot is similar to box plots, except that they also show the probability density of the data at different values (in the simplest case this could be a histogram). Typically violin plots will include a marker for the median of the data and a box indicating the interquartile range, as in standard box plots. Overlaid on this box plot is a kernel density estimation.
Violin plots are available as extensions to a number of software packages, including R through the vioplot, wvioplot, caroline, UsingR, lattice, ggplot2 libraries, stata through the vioplot add-in,[2] and the Python libraries Matplotlib[3] and Seaborn.[4]
Violin plots are also quite similar to the turnip graph used in STATA.[5]
References
- ↑ VIOLIN PLOT. www.itl.nist.gov. Retrieved 14 October 2008.
- ↑ Hintze, Jerry L., and Ray D. Nelson. 1998. "Violin Plots: A Box Plot-Density Trace Synergism." The American Statistician 52(2):181-84.
- ↑ "What's new in matplotlib: violin plots"
- ↑ Violinplots showing observations
- ↑ gr45 - A turnip graph engine, Steve Woloshin, VA Outcomes Group, VA Medical Center, White River Junction, VT
External links
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Wikimedia Commons has media related to Violin plots. |
- Vioplot add-in for Stata
- Example of violin plots in R
- violinplots in Python with the seaborn statistical visualization library based on Matplotlib
This article incorporates public domain material from the National Institute of Standards and Technology document "Dataplot reference manual: Violin plot".