Which type of Power BI visualization displays data in multiple dimensions and can cross-highlight with other visuals?

The choice of a matrix visualization in Power BI is appropriate for displaying data across multiple dimensions. A matrix allows users to view data in a grid format where rows and columns represent different dimensions. This multi-dimensional approach enables users to analyze complex data relationships more effectively, as it can show subtotals, grand totals, and allows for the expansion and collapse of hierarchies within the data.

Additionally, a significant feature of the matrix visualization is its ability to cross-highlight with other visuals on the report page. This means that when a user interacts with one element of the matrix, such as selecting a particular value, it can filter and highlight corresponding data points in other visuals. This interactive capability enhances data exploration, making it easier for users to understand trends and patterns in the data.

In contrast, the other types of visuals mentioned, such as cards and tables, have limitations in this context. A card displays a single value, which cannot facilitate multi-dimensional analysis or cross-highlighting. A table, while it does present data in a structured format, lacks the flexible interaction features of a matrix when it comes to handling multiple data dimensions. Scatter visuals are used primarily for plotting relationships between two numerical variables and also do not provide the multi-dimensional capabilities of a matrix. Thus