What summary type allows you to group results based on specific criteria before calculating values?

Grouping is the summary type that enables users to organize their results according to specified criteria before performing any calculations on the values. It allows for the categorization of distinct data sets, which can then be aggregated or summarized appropriately based on those groups.

For instance, if you are analyzing sales data and want to see the total sales per region, using the grouping summary type allows you to first cluster the data by region and then calculate the relevant metrics, such as sums or averages, for each grouped set. This structured approach enhances the clarity and usability of the resulting data analysis, making it easier to interpret trends or patterns within specific categories.

The other summary types mentioned—sum, minimum, and average—are methods of calculation that can be applied after the data has been grouped. They do not inherently facilitate the organization of data but instead operate on the values within already defined groups.