This document discusses visual data mining using HeatMiner software. It shows how increasing amounts of sample data (from 10 to 100,000 samples) shapes visually into patterns that reveal relationships between a value of interest and other attributes. With only 10,000 samples, the data forms three distinct "donuts", and adding more samples simply reduces noise without changing the overall patterns or conclusions that can be drawn from the data.