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Outlier Detection Plan
Find and handle outliers without distorting your analysis.
Updated June 2026
The prompt
Recommend how to detect and handle outliers in {{dataset}} for the goal of {{goal}}. Explain methods (z-score, IQR, domain thresholds), how to tell a real signal from a data error, when to keep, cap, or remove outliers and how each choice affects results, and how to document the decision. Note the risk of silently deleting inconvenient data.
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Author
AI Khazna
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Security
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