End-to-end quantitative data work — cleaning, exploration, statistical testing, modeling, visualization, and reproducible scripting in Python or R. Handles messy CSVs, survey data, time series, panel data, and small-to-medium datasets. Produces analysis scripts and a written interpretation. Trigger when: user mentions "clean this data", "analyze", "statistics", "regression", "EDA", "explore the data", "fit a model", "visualize", "summary stats", "hypothesis test", "ANOVA", "t-test", "correlation", "Python script", "R script", "pandas", "tidyverse", or runs /analyze.
How to install data-analysis?
marazii/research-co-pilot/data-analysis
$npx -y skills add marazii/research-co-pilot --skill data-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/marazii/research-co-pilot" --skill "marazii/research-co-pilot/data-analysis"` 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/marazii/research-co-pilot" that are relevant to the current task. Run `npx skills add "https://github.com/marazii/research-co-pilot"` and select the relevant skills, then follow their instructions.
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