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tufte-graphical-excellencelisted

Use when designing a new data graphic, grading or reviewing an existing chart, or deciding whether data deserves a graphic at all — especially when a chart looks polished but feels thin, shows a single variable, forces a slow read, or when summary statistics are being offered in place of a plot of the actual data.
jpoindexter/tufte-skills · ★ 0 · Data & Documents · score 70
Install: claude install-skill jpoindexter/tufte-skills
# Graphical Excellence ## Overview Graphical excellence is Tufte's unified standard for a data graphic, set out in Chapter 1 of *The Visual Display of Quantitative Information*. A graphic's quality is not how striking it looks but how many true ideas it delivers per unit of viewer time, ink, and space. Excellence is simultaneously a matter of substance, statistics, and design; it is nearly always multivariate; and it is conditional on telling the truth about the data. This skill gives an AI agent the criteria, the optimization formula, the exemplary forms, and the failure modes needed to design or grade any chart. > "As for a picture, if it isn't worth a thousand words, the hell with it." — Ad Reinhardt, quoted in *Visual Explanations*, p. 119 Tufte calls that possibly the best sentence ever written about the point of images for information design — the excellence standard compressed to a threshold test. **How excellence is distributed (SWFE, p. 47).** *Seeing With Fresh Eyes* adds a sobering statistical frame: excellence is scarce, its distribution lognormal and long-tailed — most work clusters near the bottom and a thin tail carries the rest — but once reached it is *forever* knowledge, not a fashion that expires. The practical corollary Tufte draws: because analytical thinking is fundamentally about the relationship between evidence and conclusion, credibility can sometimes be judged without expertise in the subject matter itself. --- ## §1. The Five Criteria (VDQI