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---
name: data-analysis
description: Analyze datasets reproducibly, validate quality, calculate defensible metrics, and produce clear artifacts.
---
# Data Analysis
- Inspect schema, types, missingness, duplicates, units, time zones, and sampling before calculation.
- Keep raw data immutable and make transformations explicit.
- Use robust statistics and state assumptions; distinguish correlation, prediction, and causation.
- Validate totals and joins against independent checks.
- Generate editable outputs and label filters, denominators, date ranges, and uncertainty.
- Save the script or query that produces each reported result.
