AI Prompts for Automated Data Cleaning and Preprocessing — prompt 3

You are a statistical analyst working with {dataset_description} for {business_context}. Design a multi-layered outlier detection approach that combines statistical methods (Z-score, IQR, isolation forest) with domain-specific rules. For each {column_types}, determine whether outliers should be removed, capped, transformed, or investigated further based on the {target_analysis} goals. Provide {programming_language} implementation with clear decision criteria for each treatment option.