For example, the Class axis contains four strata: 1st, 2nd, 3rd, and Crew. The groups at each axis are depicted as opaque blocks called strata.The plot above uses three categorical axes: Class, Sex, and Age. An axis is a dimension (variable) along which the data are vertically grouped at a fixed horizontal position.For now, we use the image as a point of reference to define the following elements of a typical alluvial plot: The next section details how the elements of this image encode information about the underlying dataset. Other related packages are mentioned below. In particular, check out Michael Friendly’s vcd and vcdExtra packages (PDF) for a variety of statistically-motivated categorical data visualization techniques, Hadley Wickham’s productplots package and Haley Jeppson and Heike Hofmann’s descendant ggmosaic package for product or mosaic plots, and Nicholas Hamilton’s ggtern package for ternary coordinates. Many other resources exist for visualizing categorical data in R, including several more basic plot types that are likely to more accurately convey proportions to viewers when the data are not so structured as to warrant an alluvial plot. The distinction is detailed in this blog post. Unlike most alluvial and related diagrams, the plots produced by ggalluvial are uniquely determined by the data set and statistical transformation. showcases some popular variants on the theme and how to produce them.illustrates the new stats and geoms, and.describes the alluvial data structures recognized by ggalluvial,.defines the essential components of alluvial plots as used in the naming schemes and documentation ( axis, alluvium, stratum, lode, flow),.The design and functionality were originally inspired by the alluvial package and have benefitted from the feedback of many users. The ggalluvial package is a ggplot2 extension for producing alluvial plots in a tidyverse framework. Alluvial Plots in ggplot2 Alluvial Plots in ggplot2 Jason Cory Brunson
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