view --main visualization-selection-skill-vybora-vizualizatsii-dannyh.md
visualization-selection: Скилл выбора визуализации данных
SKILL.md
readonly
--- lines
---
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`).
Инициализация мануала...
//
$ ls -R related_skills/
package.json
$ install --global
skills.sh
npx skills add https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/visualization-selection
$ download --local
man
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