tufte-viz

# Tufte Visualization Ideation Apply Edward Tufte's principles to design clear, honest, high-density data visualizations. ## Workflow ### For new visualizations: 1. **Clarify the data story** - What comparisons matter? - What's the key insight to communicate? - Who's the audience? 2. **Select approach** using Tufte principles: - High comparison need → Small multiples - Dense data → Consider data tables, sparklines - Time-series → Line charts with minimal grid - Part-to-whole → Avoid pie charts; prefer bar/table 3. **Design with data-ink in mind** - Start minimal, add only what's necessary - Every element must earn its ink - Default to grayscale; use color purposefully 4. **Apply the eraser test before shipping** - For every element (label, tick, gridline, border, annotation): can it be erased without losing information that's not already conveyed elsewhere? - Watch for duplicate encodings: numeric labels next to a value already marked by a tick; legends duplicating direct labels; per-panel scale annotations duplicating a shared-scale caption. - If two elements compete for the same job, keep the visual one and drop the textual one (or vice versa) — not both. 5. **Apply the collision test before shipping** - For every text element in the plot (axis labels, point annotations, epoch labels, baseline labels, explanatory notes): mentally draw its bounding box. Does anything else — another text element, a data line, dense markers — l...