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Data Analyzer

data-analyzer

Analyze datasets and generate statistical summaries and insights. Use when asked to analyze data, compute statistics, or identify trends.

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SKILL.md

Full skill instructions

Instructions

When analyzing data:

  1. Overview — Report the shape of the dataset (rows, columns, types).
  2. Statistics — Compute mean, median, min, max, and standard deviation for numeric columns.
  3. Missing Data — Identify columns with missing or null values.
  4. Trends — Highlight any notable patterns or outliers.

For automated processing, use the script at scripts/​analyze.py which reads CSV files and generates basic statistical summaries.

Present results in a clear table format when possible.