What drives the size and color of the rectangles in a tree map?

The size and color of the rectangles in a tree map are determined by assigned metrics from numeric columns. In a tree map visualization, each rectangle represents a data point, and its dimensions are directly influenced by the values of the metrics that are assigned from the dataset being analyzed. The area of each rectangle correlates with the magnitude of the metric it represents, thereby allowing for an effective visual comparison of different categories or groups within the data.

The color of the rectangles can also be assigned based on another numeric metric, which helps to illustrate an additional dimension of the data, such as performance or trend indicators. By using these numeric columns, tree maps can convey complex data structures in an intuitive manner, allowing users to identify relationships, patterns, and outliers at a glance.

In this context, other choices do not accurately describe how the size and color are determined. For instance, shape and design metrics would not provide the quantitative foundation needed for sizing and coloring rectangles in a tree map. Static values from a reference table would not offer the dynamic nature required for accurate representation of varying data points, and user-defined dimensions are typically not the primary drivers of size and color; instead, they focus on how data is organized or structured rather than the metrics themselves.