@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} }