Data & analysisQuality reviewdata

Investigate an outlier without deleting it

Uses context and measurement checks before exclusion.

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Prompt

Inputs: [DATA SAMPLE], [EXPECTED RANGE], [MEASUREMENT PROCESS]. Separate impossible values, plausible extremes and process artefacts. Propose source checks and sensitivity analysis with and without the value. Output: An outlier log, decision rule and impact table. Check: Any exclusion has a recorded reason independent of desired results. If essential information is missing, identify it rather than filling the gap with a guess. Keep the original measurement unchanged while recording any corrected value in a separate field.