Adaptive Data Normalization and Feature Engineering Pipeline

Develop a flexible JavaScript data preprocessing framework that automatically detects data types, handles missing values, and applies advanced normalization techniques. Implement feature engineering strategies including one-hot encoding, scaling transformations, and principal component analysis using libraries like ml.js. Create a configurable pipeline that supports custom transformation rules, handles nested JSON structures, and generates metadata about feature distributions. Include performance monitoring and automatic outlier detection mechanisms.