Analyze a CSV or Dataset

Get a structured first-pass analysis of a dataset — patterns, anomalies, and honest caveats about what the data can't tell you.

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Prompt

    Analyze the dataset below and help me understand it.

The data (paste a sample of rows, the column headers, and any description of what each column means):
{{data}}

What I want to learn (optional): {{question}}

Please:
1. **Describe the data** — the columns, their apparent types, and anything notable (ranges, obvious categories, units).
2. **Findings** — the main patterns, relationships, or anomalies you can see, each stated as a specific observation.
3. **Data-quality flags** — missing values, inconsistencies, outliers, or anything that would undermine analysis.
4. **Caveats** — what this data can and cannot support. Correlation isn't causation; a small or non-representative sample limits conclusions — say so.

Base every claim on the data shown; don't infer trends from too few rows or invent values. If answering my question well would need columns or more rows I haven't provided, tell me what to add. If you show any calculation, note that I should verify it on the full dataset.

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