Comprehensive Data Quality Assessment Toolkit

Create a sophisticated data quality assessment framework that automatically evaluates datasets across multiple dimensions: completeness, consistency, accuracy, and timeliness. Develop intelligent algorithms to detect data quality issues, generate detailed reports with recommendations, and provide visualizations of data health. Include machine learning-based anomaly detection, support for multiple data sources, and a configurable scoring system for data quality metrics.