creating-data-visualizations

1# Data Visualization Creator
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3Use this skill when the user needs a chart from data that already exists.
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5## Overview
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7This skill focuses on everyday analytical visualization choices: bars, lines, scatters, distributions, comparisons, and simple dashboards.
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9## When to Use This Skill
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11- Plotting trends, distributions, comparisons, or correlations from structured data
12- Turning query output or CSV tables into charts for analysis or slides
13- Choosing a sensible chart type and axis treatment for a non-specialist audience
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15## Not For / Boundaries
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17- Journal-ready figures, multi-panel publication layouts, TIFF/600dpi exports: use `scientific-visualization`
18- Structural diagrams, flowcharts, and mechanism illustrations: use `scientific-schematics` or `markdown-mermaid-writing`
19- Full research-report ownership: use `scientific-reporting`
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21## Integration
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23- Pair with `exploratory-data-analysis` before plotting questionable data
24- Hand off to `scientific-visualization` if the chart must meet publication standards
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26## Example Requests
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28- "Plot monthly conversion rate with a confidence band"
29- "Make a scatter plot of latency vs throughput"
30- "Turn this CSV summary into a small dashboard"