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Stress-test a metric definition to expose ambiguity, double-counting, and edge cases before it goes into a dashboard.

Compare two datasets that should match, quantify every discrepancy, and explain the likely cause of each gap.

Choose a defensible outlier-detection method for your variable and qualify whether each anomaly is an error or a signal.

Get a structured, per-column data cleaning plan with concrete actions, rationale, and the order to apply them safely.

Build a complete, step-by-step EDA plan tailored to your dataset, columns, and analysis goal before you write a single line.