Student Performance Predictive Analytics Preprocessor

Develop a bash script for preparing student performance data for machine learning analysis. Script must: 1) Clean and normalize multi-source educational datasets, 2) Handle missing data strategically, 3) Generate feature vectors for predictive modeling, 4) Implement data anonymization techniques, 5) Convert between various statistical formats, and 6) Generate comprehensive preprocessing logs. Support multiple input formats and implement robust error handling.