creating-data-visualizations

# Data Visualization Creator Use this skill when the user needs a chart from data that already exists. ## Overview This skill focuses on everyday analytical visualization choices: bars, lines, scatters, distributions, comparisons, and simple dashboards. ## When to Use This Skill - Plotting trends, distributions, comparisons, or correlations from structured data - Turning query output or CSV tables into charts for analysis or slides - Choosing a sensible chart type and axis treatment for a non-specialist audience ## Not For / Boundaries - Journal-ready figures, multi-panel publication layouts, TIFF/600dpi exports: use `scientific-visualization` - Structural diagrams, flowcharts, and mechanism illustrations: use `scientific-schematics` or `markdown-mermaid-writing` - Full research-report ownership: use `scientific-reporting` ## Integration - Pair with `exploratory-data-analysis` before plotting questionable data - Hand off to `scientific-visualization` if the chart must meet publication standards ## Example Requests - "Plot monthly conversion rate with a confidence band" - "Make a scatter plot of latency vs throughput" - "Turn this CSV summary into a small dashboard"