data-analyzer

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

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.