What problem does it solve? Charts and dashboards often suffer from distortion, clutter, and decoration that obscure the data story. This Skill applies Edward Tufte's principles from "The Visual Display of Quantitative Information" and his later works to design honest, high-density visualizations and to critique existing ones with concrete before-and-after recommendations. ## Core Features & Use Cases - New Visualization Design: A six-step workflow covering data-story clarification, chart-type selection (small multiples, sparklines, line charts), data-ink maximization, the eraser test, and the collision test for overlapping labels. - Visualization Critique: Checks graphical integrity via the lie factor, identifies chartjunk (3D effects, heavy grids, moiré patterns), evaluates data-ink ratio, and produces specific improvement recommendations. - Reference Knowledge Base: Two reference documents cover core principles (lie factor, chartjunk, small multiples, data density) and extended analytical design (sparklines, layering, micro/macro readings, range-frames, causality, confections). - Use Case: When reviewing a quarterly metrics dashboard, use this Skill to detect truncated axes exaggerating trends, remove redundant legends, and restructure dense KPI rows as sparkline tables. ## Quick Start Use the tufte-viz skill to critique this sales dashboard chart and suggest improvements based on Tufte's principles.
