To add dimensions to a bar chart color, what should you do to the dimension?

To add dimensions to a bar chart color in Looker, pivoting the dimension is necessary. When you pivot a dimension, it transforms the data so that each unique value of that dimension can be represented separately in the visualization. This means that each category will be assigned a different color on the bar chart, allowing for clear differentiation among the various dimensions.

Pivoting essentially restructures the way the data is displayed, making it possible for the visualization to reflect multiple categories within a single chart effectively. Without pivoting the dimension, the bar chart would only show aggregated values or a single category instead of visualizing the nuanced variations across different dimensions.

Other actions like aggregating, sorting, or formatting do not enable the same ability to distinguish multiple groups with different colors in the context of a bar chart. Aggregation combines values for analysis, sorting arranges data in a specific order, and formatting changes how data is presented but doesn’t affect the underlying structure needed for color differentiation in a visual representation.