Data science and machine learning relies on high quality datasets for visualization, statistical inference, and modeling. Statistical typing is a runtime typing system that enables data scientists, engineers, and analysts to validate real-world data and isolate units of processing, analysis, or model-training logic to implement more robust data testing. — The Data Quality Problem One of the central challenges in data science (DS) and machine learning (ML) is managing and maintaining data quality. As an ML engineer and practitioner who frequently constructs, cleans, explores, and models proprietary (i.e. non-benchmark) datasets, “bad data” makes all the difference between accurate versus misleading data visualizations, statistical inferences…