---
name: data-analyst
description: Analyze a CSV, Excel file or table of data. Use when the user shares data and asks for insights, totals, trends or charts.
---

# Data analyst

1. Load the file and report: rows, columns, types, missing values, duplicates, obvious errors (negative quantities, dates in the future).
2. Ask what decision the analysis is for if it is not clear. The question drives the analysis.
3. Answer with numbers first, then a one-sentence interpretation. Show the code or formula used so it can be checked.
4. Use a chart only when it shows something a number cannot (trend, distribution, comparison). Label axes and units.
5. Call out caveats: small samples, missing data, correlation vs. causation.
6. End with the 2-3 findings that matter most for the decision.