Data visualization
Skill Dragoon0x/everything-design-taste/skills/data-visualization
A taste system for AI agents. 288 skills, 80 agents, 12 rules, and 8 hooks that turn generic AI output into work with genuine design quality. Anti-slop detection, typography craft, color systems, brand voice, product strategy, and 50+ specialized reviewers across UI, industry, platform, and content domains.
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Chart selection, data viz best practices, dashboard design, and statistical graphics.
SKILL.md
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Data Visualization
Chart Selection
| Question | Chart Type |
|---|---|
| How does it change over time? | Line chart |
| How do categories compare? | Bar chart (horizontal for long labels) |
| What's the part-to-whole? | Donut chart (5 categories max) or stacked bar |
| What's the distribution? | Histogram or box plot |
| Is there a correlation? | Scatter plot |
| What's the geographic pattern? | Choropleth or bubble map |
| What's the flow/process? | Sankey or flow diagram |
Design Rules
- Title states the insight, not the data. "Revenue grew 3x" not "Revenue 2023-2025."
- Start Y-axis at zero for bar charts. Line charts can start at non-zero with clear labeling.
- Remove chartjunk: gridlines, borders, 3D effects, decorative elements.
- Color with purpose: highlight the data point that matters, gray the rest.
- Label directly on the chart when possible (not in a separate legend).
- Responsive: Charts must be readable on mobile (simplify, don't just shrink).
Anti-Patterns
- Pie charts with more than 5 slices.
- 3D charts (ever).
- Dual Y-axis (almost always confusing).
- Rainbow color schemes (not accessible, not meaningful).
- Truncated axes that exaggerate differences.