tufte-small-multipleslisted

# Small Multiples ## Overview > "At the heart of quantitative reasoning is a single question: *Compared to what?*" — Tufte, *Envisioning Information*, p. 67 Small multiples answer that question directly: they enforce comparisons of changes, of differences among objects, of the scope of alternatives. Tufte's verdict in the same passage is that for a wide range of data-presentation problems, small multiples are the best design solution. Small multiples are a series of graphics sharing the same design structure, the same scale, and the same visual encoding — varying only the data across panels. Because the design is constant, the viewer's eye stops re-learning each chart and attends entirely to shifts in the data. Tufte presents the pattern as the single most effective method for multivariate comparison: simultaneously more honest, more dense, and more legible than animation, sequential views, or overlaid series. Two mechanisms power it. First, the Shrink Principle applied repeatedly: reduce one graphic to the minimum size that stays legible, then array many copies. Second, a large underlying data matrix: small multiples take a wide table of numbers and lay it out so the eye reads thousands of values at once, in the area a conventional graphic would spend on dozens. --- ## §1. Definition and Core Rules > "Small multiples resemble the frames of a movie: a series of graphics, showing the same combination of variables, indexed by changes in another variable." > — Tufte, *Th