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Data visualization

Skill Dragoon0x/everything-design-taste/skills/data-visualization

Chart selection, data viz best practices, dashboard design, and statistical graphics.From its SKILL.md

Install
npx -y skills add Dragoon0x/everything-design-taste --skill data-visualization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.4 KB, 309 tokens by cl100k_base, as published. Nobody here has run it

Data Visualization

Chart Selection

QuestionChart 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

  1. Title states the insight, not the data. "Revenue grew 3x" not "Revenue 2023-2025."
  2. Start Y-axis at zero for bar charts. Line charts can start at non-zero with clear labeling.
  3. Remove chartjunk: gridlines, borders, 3D effects, decorative elements.
  4. Color with purpose: highlight the data point that matters, gray the rest.
  5. Label directly on the chart when possible (not in a separate legend).
  6. 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.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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