Parallel Coordinates Plot: Untangling High-Dimensional Data

A parallel coordinates plot visualizes high-dimensional data by laying axes out in parallel, not perpendicularly. Each data point becomes a polyline weaving across the axes, connecting its value on each one. It's used in exploratory analysis to find clusters or outliers in multivariate data, like sensor readings or financial models. The main footgun is overplotting: with too many data points, the plot becomes a dense, unreadable mess, hiding the very patterns you're trying to find.