Machine Learning Feature Engineering Spreadsheet Pipeline

Create a Python data pipeline that transforms raw feature data into a machine learning-ready Google Sheet using pandas, scikit-learn, and Google Sheets API. Implement advanced feature engineering techniques including automated normalization, one-hot encoding, feature scaling, and correlation matrix generation. The script should handle missing data, detect outliers, and generate an interactive spreadsheet with visualizations of feature importance and statistical distributions.