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Data · Skill

Data Visualization Skill

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.

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What the skill covers

The sections of its instructions, in order.

  1. 01 Chart Selection Guide
  2. Choose by Data Relationship
  3. When NOT to Use Certain Charts
  4. 02 Python Visualization Code Patterns
  5. Setup and Style
  6. Line Chart (Time Series)
  7. Bar Chart (Comparison)
  8. Histogram (Distribution)
  9. Heatmap
  10. Small Multiples
  11. Number Formatting Helpers
  12. Interactive Charts with Plotly
  13. 03 Design Principles
  14. Color
  15. Typography
  16. Layout
  17. Accuracy
  18. 04 Accessibility Considerations
  19. Color Blindness
  20. Screen Readers

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Frequently asked questions

What does Data Visualization Skill do?

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.

Is Data Visualization Skill free to use?

Yes. Data Visualization Skill is published by Anthropic under the Apache 2.0 licence, and you can use it with a free Phở account.

How do I use Data Visualization Skill in Phở?

Press Open in Phở, then Try to apply it to your next message, or add the Data set so Phở loads it whenever a request matches.

Does Data Visualization Skill need other tools?

No. It works in a normal Phở chat with what you type or upload.

Copied unchanged from anthropics/knowledge-work-plugins at commit d900840 and credited to Anthropic, who is not affiliated with Phở. The full instructions and licence text ship with the skill inside Phở.