Data Visualization Creator Skill for Grouped CSV Charts
Use Claude Code to select a chart for categorical data and keep an auditable summary table alongside the figure.
中文Install in Claude Code
Use Python, pandas, Matplotlib, and a synthetic CSV with region and tickets fields.
- Get the complete `plugins/ai-ml/data-visualization-creator/skills/creating-data-visualizations` directory from the pinned GitHub commit.
- Copy it into the target project's `.claude/skills/`. Check `.claude/skills/creating-data-visualizations/SKILL.md`, start Claude Code at the project root, and call `/creating-data-visualizations`.
Example task
Enter 10 and 8 tickets for North, 12 for South, and 15 for West. Sum by region and plot horizontal bars labeled 18, 15, and 12 in descending order.What to check
The figure shows three labeled bars, and its totals match the companion summary CSV and the source total of 45.
Original SKILL.md on GitHub · Updated
Frequently asked question
How can I keep long region names readable?
Use horizontal bars and allow enough label margin to preserve the full names for comparison with the CSV.