tufte-slide-design
This skill applies Edward Tufte's data visualization principles from "The Visual Display of Quantitative Information" to create high-impact slides. Use when designing presentations, creating charts/graphs, reviewing slides for clarity, or transforming data into visual displays. Triggers on phrases like "make a slide", "create presentation", "design chart", "visualize data", "review my slides", or "make this more impactful".
$ 安裝
git clone https://github.com/ingpoc/SKILLS /tmp/SKILLS && cp -r /tmp/SKILLS/tufte-slide-design ~/.claude/skills/SKILLS// tip: Run this command in your terminal to install the skill
name: tufte-slide-design description: This skill applies Edward Tufte's data visualization principles from "The Visual Display of Quantitative Information" to create high-impact slides. Use when designing presentations, creating charts/graphs, reviewing slides for clarity, or transforming data into visual displays. Triggers on phrases like "make a slide", "create presentation", "design chart", "visualize data", "review my slides", or "make this more impactful".
Tufte Slide Design
Apply Edward Tufte's principles from "The Visual Display of Quantitative Information" to create presentations that communicate complex ideas with clarity, precision, and efficiency.
Core Philosophy
Tufte's central insight: "Clutter and confusion are failures of design, not attributes of information."
Information overload is rarely the problem—poor information design is. The goal is graphical excellence: the well-designed presentation of interesting data combining substance, statistics, and design.
The Five Laws of Data-Ink
When designing any slide with data:
- Above all else, show the data - Data is the primary focus
- Maximize the data-ink ratio - Every pixel should convey information
- Erase non-data-ink - Remove decorations that don't inform
- Erase redundant data-ink - Eliminate duplicate information carriers
- Revise and edit - Continuously refine toward simplicity
Data-Ink Ratio Formula
Data-Ink Ratio = Ink presenting data / Total ink used
Target: As close to 1.0 as possible. Each element should earn its place.
Slide Design Workflow
Step 1: Identify the Data Story
Before creating any slide, answer:
- What is the ONE key insight this slide must communicate?
- What data supports this insight?
- What would be lost if this slide were removed?
Step 2: Apply the Chartjunk Elimination Checklist
Remove or minimize:
| Chartjunk Element | Action |
|---|---|
| 3D effects | Flatten to 2D |
| Gradient fills | Use solid colors |
| Heavy gridlines | Lighten or remove |
| Decorative borders | Remove entirely |
| Background images | Remove unless data |
| Drop shadows | Remove |
| Unnecessary legends | Label directly on chart |
| Excessive tick marks | Reduce to minimum |
| Moiré patterns | Use solid fills |
Step 3: Check Graphical Integrity
Tufte's Six Principles of Graphical Integrity:
- Proportional representation - Visual size must match numerical quantity
- Clear labeling - Label data directly on the graphic
- Show data variation, not design variation - Design should not distort
- Use proper monetary units - Deflate/standardize when showing money over time
- Match dimensions - Don't use 2D/3D to represent 1D data
- Preserve context - Never quote data out of context
Step 4: Calculate the Lie Factor
Lie Factor = Size of effect in graphic / Size of effect in data
- Lie Factor = 1.0: Truthful
- Lie Factor > 1.0: Overstates the effect
- Lie Factor < 1.0: Understates the effect
Example violation: A 53% numerical change shown as 783% visual change = Lie Factor of 14.8
Step 5: Apply Advanced Techniques
Small Multiples
Use for comparing related data:
- Same graphic structure repeated with different data slices
- Enables visual comparison within eye span
- "Move to the heart of visual reasoning—to see, distinguish, choose"
Sparklines
Word-sized graphics for inline data display:
- High resolution in small space
- Embed in tables or text
- "Datawords: data-intense, design-simple, word-sized graphics"
Direct Labeling
Instead of legends, label data directly:
- Reduces eye movement
- Eliminates legend decoding
- Places information where attention focuses
Slide Types and Tufte Approaches
Data-Heavy Slides
- Strip unnecessary gridlines
- Use range-frame axes (only show data range)
- Consider small multiples for comparisons
- Direct label instead of legends
- Horizontal orientation where possible
Text-Heavy Slides (Anti-Pattern)
Tufte's critique of bullet points ("The Cognitive Style of PowerPoint"):
- Bullet lists fragment thought
- Hierarchical bullets obscure relationships
- Low information density
Alternative approaches:
- Use sentence-case prose for complex ideas
- Provide detailed handouts instead
- Show data tables with full context
- Use visual diagrams showing relationships
Title Slides
Apply same principles:
- Remove decorative elements
- Use typography for hierarchy, not ornament
- Every word should contribute meaning
Quick Reference: Before/After Patterns
Bar Charts
Before: 3D bars, gradient fills, heavy gridlines, legend below After: 2D bars, solid colors, no gridlines, direct labels
Line Charts
Before: Multiple colors, thick lines, point markers, legend After: Direct labels on lines, minimal markers, reduced palette
Pie Charts
Tufte's view: Generally avoid. If required:
- Never use 3D
- Limit to 3-4 slices maximum
- Consider bar chart instead
Tables
Before: Heavy borders, alternating row colors, centered text After: Minimal rules, left-aligned text, whitespace for separation
Resources
For detailed principles and examples, reference:
references/tufte-principles.md- Complete principle documentation with examplesreferences/slide-checklist.md- Quick checklist for slide review
Anti-Patterns to Avoid
- PowerPoint defaults - Override all default templates and effects
- Chart templates - Design from data, not from template
- Decoration for engagement - Data is engaging when well-presented
- Hiding complexity - Show the complexity, design it well
- Animation for emphasis - Use visual hierarchy instead
