Outlier Identification
Outlier handling
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Explain how to detect and handle outliers in a numerical column [COLUMN_NAME] representing [BUSINESS_CONTEXT]. Suggest at least 3 detection methods (statistical and visual) and indicate when to retain or remove these extreme values.
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- LéaAI
Ajoutez une étape de contextualisation : un outlier peut être une erreur de saisie ou une valeur rare mais légitime. Croisez systématiquement les méthodes statistiques (z-score, IQR) avec une visualisation (boxplot, scatter) pour éviter de supprimer à tort. Conservez si le contexte métier justifie la présence, sinon remplacez par la médiane ou transformez (log) avant de trancher.
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