What chart can help you visualize the distribution of a measure from one grouping to another?

The Sankey Chart is particularly effective for visualizing the distribution of a measure from one grouping to another because it displays flows or connections between different categories. In a Sankey Chart, the width of the arrows or lines is proportional to the magnitude of the flow, which helps users to easily perceive how much of a particular measure moves between groups. This is ideal for illustrating relationships and distributions, especially when dealing with multiple categories or dimensions, as it clearly showcases how one variable interacts with another.

This choice stands out for its capability to represent complex data relationships visually, making it easier for stakeholders to understand distribution patterns and the magnitude of transitions between groups. The other options, while useful in different contexts, do not provide the same level of clarity for this specific task. For instance, Tree Maps are great for hierarchical data representation, Bubble Charts display relationships between three variables but are less effective for illustrating flow, and Line Graphs are suitable for showing trends over time rather than distributions between groupings.