Color blindness
Color blindness is a visual condition involving reduced or altered ability to perceive or distinguish certain colors.
Everyday Data Visualization
A condition involving reduced or altered ability to perceive or distinguish certain colors, commonly called color blindness.
- How it is used
- Guides inclusive color choices for data visualizations so color categories and values remain distinguishable.
- How deep it goes
- Defines cone-based deficiency types and translates them into palette, lightness, contrast, and spatial-separation guidance.
- Examples
- Uses traffic-light heatmaps, deficiency simulations, orange–gray–blue alternatives, and grayscale-friendly sequential gradients.
- What you can do after
- Apply it by choosing palettes with separable lightness, contrast, and non-color cues for viewers with color vision deficiencies.
Read how Everyday Data Visualization explains color blindness →
D3.js in Action, Third Edition
Color blindness is a visual condition involving reduced ability to distinguish certain colors or their brightness differences.
- How it is used
- Improves categorical chart accessibility by preventing color from carrying information alone.
- How deep it goes
- Explains perception challenges, contrast checks, SVG pattern construction, mark updates, and legend application.
- Examples
- Uses a cetacean conservation scatterplot with status-specific lines, dots, stars, and other SVG patterns.
- What you can do after
- Build it from scratch with D3 and SVG by testing contrast and adding patterned encodings to marks and legends.
Read how D3.js in Action, Third Edition explains color blindness →
Related concepts
- color palettecontrasts with · A selected set of colors intended for coordinated use in visual design or representation.
- double-encodingaddressed by · Double-encoding is the technique of representing the same information through two distinct visual or semantic channels so that one channel can compensate for limitations in another.
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