The boxplot is one of the neatest visualizations for examining the distribution of values, or for comparing distribtions. It is more compact than a histogram in that it only presents the median, the two quartiles, the range of the data, and outliers. It also requires less user input than a histogram (where the user usually has to determine the number of bins). I view the boxplot and histogram as complements, and examining both is good practice. But how can you visualize a distribution of values over time? Well, a series of boxplots often does the trick. But if the frequency … Continue reading The Riverplot: Visualizing distributions over time