| 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:
- Overview — Report the shape of the dataset (rows, columns, types).
- Statistics — Compute mean, median, min, max, and standard deviation for numeric columns.
- Missing Data — Identify columns with missing or null values.
- 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.