Compute and interpret standard deviation (and related spread measures — variance, IQR, MAD, CV) for numeric columns in a dataset. Handles sample vs. population formulas, grouped/stratified computation, and flags columns where SD is misleading (heavy skew, outliers, near-constant values).
How to install standard-deviation?
danielrosehill/claude-data-analyst-plugin/standard-deviation
$npx -y skills add danielrosehill/claude-data-analyst-plugin --skill standard-deviationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/danielrosehill/claude-data-analyst-plugin" --skill "danielrosehill/claude-data-analyst-plugin/standard-deviation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/danielrosehill/claude-data-analyst-plugin" that are relevant to the current task. Run `npx skills add "https://github.com/danielrosehill/claude-data-analyst-plugin"` and select the relevant skills, then follow their instructions.
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