What type of columns can be created to calculate quantity values displayed as money values?

Calculated columns are specifically designed to perform operations and calculations based on existing data within a table. When it comes to calculating quantity values that need to be displayed as money values, calculated columns are the best fit because they can apply mathematical operations to the numeric data, like sums or averages, and format the output as necessary, such as currency.

By utilizing calculated columns, users can dynamically compute and showcase financial figures that aggregate or transform raw quantity data into monetary values. This capability is essential for providing meaningful insights in a financial context, such as total costs or revenues.

Other types of columns, while useful in their own contexts, do not offer the same level of flexibility and function for this specific need. Standard columns are simply storage for data without computational abilities, composite columns involve combining existing column values, and derived columns typically refer to creating new columns based on transformations of other columns but don’t inherently focus on monetary calculations. Thus, calculated columns uniquely satisfy the requirement of computing and displaying quantity values as money values.