A Data Analyst is given access to a table of inventory transfers which includes the...

When visualizing "active routes" or the relationship between two categorical dimensions (like a Source and a Destination), the goal is to identify patterns of intensity. A Heat grid (also known as a Heatmap) is the ideal visualization for this scenario.

In a heat grid, one dimension (e.g., Fulfillment Warehouse) is placed on the X-axis, and the other dimension (Destination Warehouse) is placed on the Y-axis. The individual cells at the intersection of these two dimensions are colored based on a metric, such as the total volume of transfers. High-intensity colors (e.g., dark red) immediately draw the analyst's eye to the "most active" routes, while lighter colors represent less frequent transfers.

Evaluating the Options:

Option A (Scatterplot) is used for identifying clusters or correlations between two numeric variables, not categorical locations.

Option B (Scorecard) is a high-level KPI visualization that usually shows a single number (e.g., Total Transfers) and does not provide the multi-dimensional breakdown required to see specific routes.

Option C (Line chart) is designed for time-series data to show trends over time, which would not effectively illustrate the static relationship between two geographic points.

Option D is the 100% correct answer. It provides the best spatial representation of density and activity between discrete origins and destinations, which is a core skill in the Data Presentation and Data Visualization domain.