Data Types with Matt Hansen at StatStuff

This document discusses the differences between continuous and discrete data types. Continuous data is measured on a continuum and is virtually infinite in scale or divisibility, with examples like dollars, time, and distance. Discrete data is measured by counts or classifications with limited scale and divisibility, with examples like yes/no, colors, and names. The document notes that while percentages are numeric, they actually represent discrete proportions. It also discusses count and classification data as two types of discrete data and provides examples of how each is used. Finally, it prompts the reader to analyze metrics from their own organization to determine if they are continuous or discrete and how they could potentially be measured differently.