👉 Diversity math, also known as diversity analysis or diversity metrics, is a branch of mathematics that quantifies and evaluates the variety within a dataset or system. It goes beyond simple measures like mean or median to capture the richness and heterogeneity of data points, groups, or categories. Common diversity metrics include Simpson's Index, which assesses the probability that two randomly selected elements from a dataset belong to different groups; Shannon's Diversity Index, often used in ecology to measure species diversity in a community; and Gini coefficient, which gauges income inequality or distributional spread. These metrics help in understanding the complexity and uniqueness of a dataset, crucial for fields like ecology, social sciences, and machine learning, where recognizing diversity can inform better decision-making and model performance.
