Localized reading guide

data-visualizationPurpose, usage and source

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

Source retrieved: 2026-10-29

Source repository: anthropics/knowledge-work-plugins
SKILL.md: data/skills/data-visualization/SKILL.md
Repository stars: 34,049
Repository updated: 2026-10-30
Categories: Design
Last collected: 2026-10-31 10:38 UTC+08:00

License: License file needs review

Source SKILL.md

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

How the upstream workflow works

Data Visualization Skill

Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations.

Upstream passage · L7 ↗

When NOT to Use Certain Charts

Pie charts: Avoid unless <6 categories and exact proportions matter less than rough comparison. Humans are bad at comparing angles. Use bar charts instead. 3D charts: Never. They distort perception and add no information.

Upstream passage · L31 ↗

Color

Use color purposefully: Color should encode data, not decorate Highlight the story: Use a bright accent color for the key insight; grey everything else

Upstream passage · L243 ↗

Upstream passage · python ↗

fig, ax = plt.subplots(figsize=(10, 8))

# Pivot data for heatmap format
pivot = df.pivot_table(index='row_dim', columns='col_dim', values='metric', aggfunc='sum')

sns.heatmap(pivot, annot=True, fmt=',.0f', cmap='YlOrRd',
            linewidths=0.5, ax=ax, cbar_kws={'label': 'Metric Value'})

ax.set_title('Metric by Row Dimension and Column Dimension', fontweight='bold')
ax.set_xlabel('Column Dimension')
ax.set_ylabel('Row Dimension')

plt.tight_layout()
plt.savefig('heatmap.png', dpi=150, bbox_inches='tight')

Requirements and setup

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Limits and quality checks

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Start with a safe trial

Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
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Skill format and directory specification ↗

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Translation and scope

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Pinned source: Read the original ↗
Source retrieved: 2026-10-29T09:32:23Z
Source commit: 2574e29377c7173d0cecffef29a6ecbd7f8ccb5d
Source SHA-256: 5811e8b3547cda6bc8af118aaf0d7589e8861cdc9facce6372dc78aea99ab87d

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