visualization-selection
Use this skill when creating charts, plots, or dashboards. Choose the visualization type that best communicates the data relationship before writing any plotting code.
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- Repository
- aiming-lab/MetaClaw
- Last source activity
- March 10, 2026 at 18:04
- Detected SKILL.md language
- English
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- 3,456
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Source instructions · Read-only preview- name
- visualization-selection
- description
- Use this skill when creating charts, plots, or dashboards. Choose the visualization type that best communicates the data relationship before writing any plotting code.
- category
- data_analysis
# Visualization Selection Guide
| Goal | Chart Type |
|------|------------|
| Compare categories | Bar chart (horizontal if many labels) |
| Show distribution | Histogram, box plot, violin plot |
| Show trend over time | Line chart |
| Show correlation | Scatter plot, heatmap |
| Show part-to-whole | Pie (<=5 slices), stacked bar |
**Principles:**
- Label axes and include units.
- Use color purposefully — not just for decoration.
- Avoid 3D charts; they distort perception.
- Start y-axis at 0 for bar charts (truncated bars mislead).
- Use a colorblind-safe palette (e.g., `viridis`, `colorbrewer`).
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