In a tree map, what do the larger container rectangles represent?

In a tree map, the larger container rectangles represent the main categories of data. This visualization technique organizes data into a hierarchical structure, where the main categories are depicted as larger rectangles. Each of these main containers is then subdivided into smaller rectangles that represent subcategories or specific data points within each main category.

The size of the rectangles in a tree map is typically proportional to a specific metric or value associated with that category, allowing for a quick visual comparison of the magnitude of each category against others. By aggregating multiple layers of data, the tree map effectively illustrates the relationships and contributions of the subcategories to the overall category. This makes it a useful tool for analyzing complex datasets and understanding their composition and hierarchy.

The other options do not accurately describe the purpose of the larger rectangles; subcategories are represented by the smaller rectangles within the larger ones, final metrics are typically not visualized directly in a tree map, and color-coded analysis usually applies to the visualization but does not define the shape or structure of the main categories represented by the larger rectangles.