@article{JSSv028c01,
title={Beanplot: A Boxplot Alternative for Visual Comparison of Distributions},
volume={28},
url={https://www.jstatsoft.org/index.php/jss/article/view/v028c01},
doi={10.18637/jss.v028.c01},
abstract={Boxplots and variants thereof are frequently used to compare univariate data. Boxplots have the disadvantage that they are not easy to explain to non-mathematicians, and that some information is not visible. A beanplot is an alternative to the boxplot for visual comparison of univariate data between groups. In a beanplot, the individual observations are shown as small lines in a one-dimensional scatter plot. Next to that, the estimated density of the distributions is visible and the average is shown. It is easy to compare different groups of data in a beanplot and to see if a group contains enough observations to make the group interesting from a statistical point of view. Anomalies in the data, such as bimodal distributions and duplicate measurements, are easily spotted in a beanplot. For groups with two subgroups (e.g., male and female), there is a special asymmetric beanplot. For easy usage, an implementation was made in R. },
number={1},
journal={Journal of Statistical Software, Code Snippets},
author={Kampstra, Peter},
year={2008},
pages={1–9}
}