data-analysis
bybeita6969· 57 skills
Scientific data analysis including data cleaning, exploratory data analysis (EDA), statistical testing, regression, and reporting. Uses Python with pandas, scipy, statsmodels, scikit-learn. Use when user asks to analyze data, clean a dataset, run statistics, do EDA, fit a model, or process CSV/Excel files. Triggers on "analyze this data", "clean my dataset", "run regression", "EDA", "descriptive statistics", "data processing", "correlation analysis".
How to install data-analysis?
beita6969/scienceclaw/data-analysis
$npx -y skills add beita6969/scienceclaw --skill data-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/beita6969/scienceclaw" --skill "beita6969/scienceclaw/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/beita6969/scienceclaw" that are relevant to the current task. Run `npx skills add "https://github.com/beita6969/scienceclaw"` and select the relevant skills, then follow their instructions.
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