What sort of chart can show patterns based on multiple related metrics?

A Parallel Coordinates Chart is particularly effective in visualizing patterns based on multiple related metrics. This type of chart allows for the representation of high-dimensional data by displaying each metric as a separate axis, with data points represented as lines connecting the axes. This format enables the viewer to easily observe trends, relationships, and anomalies across the various metrics simultaneously.

In contrast, while a Line Chart can show trends over time for a single metric or multiple metrics on the same axis, it does not provide the multidimensional view that is necessary for analyzing relationships among several metrics at once. A Radar Chart presents data in a circular layout and compares multiple variables, but can become cluttered and less interpretable when too many metrics are involved. A Histogram is designed to show frequency distributions of a single variable and does not accommodate comparisons among multiple related metrics.

Thus, a Parallel Coordinates Chart stands out as the most suitable choice for uncovering patterns among several interconnected metrics, allowing for deeper insights into complex datasets.