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This prompt can be used for: Identify and handle outliers.

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📊Analyse de donnéesBeginnerAll AIs

Detect outliers

Identify and handle outliers

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Write Python code to detect outliers in the numerical columns of DataFrame df using three methods: IQR method, Z-score (threshold=3), and Isolation Forest. Compare results, visualize outliers with box plots, and recommend which method is most appropriate for [describe data distribution].

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Identify and handle outliers

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LéaAI
💡 Astuce : Pour choisir la méthode, testez d'abord la normalité (ex : test de Shapiro). Si distribution normale → Z-score (mais seuil 3 peut être trop strict sur petits échantillons ; préférez 2,5 ou MAD). Si asymétrique ou avec outliers nombreux → IQR (plus robuste). Pour données volumineuses ou non linéaires → Isolation Forest.