Group aggregation functions
Learn about group aggregation functions, or pinned measures.
What if you want to aggregate a value by a specific attribute (for example, show revenue by product)? This is known as a grouped aggregation, but some people call it a pinned measure or level-based measure. You can do this for any aggregation using the grouping functions.
Each of the grouping functions accepts a measure and one or more optional attributes:
formula (measure, [attribute, attribute, ...])Only the measure value is required. If you supply both a measure and an attribute, the function returns the aggregate of the measure grouped by the attribute(s). You should experiment with only a measure and then with an attribute to see which output best meets your use case.
| Pivot tables do not support use of group aggregation functions. |
List of group functions
Group aggregation functions have names with formats like group_<aggregation>.
The group aggregation functions are the following:
group_average-
Takes a measure and one or more attributes. Returns the average of the measure grouped by the attribute(s).
group_average (revenue, customer region) group_count-
Takes a measure and one or more attributes. Returns the count of the measure grouped by the attribute(s).
group_count (revenue, customer region) group_max-
Takes a measure and one or more attributes. Returns the maximum of the measure grouped by the attribute(s).
group_max (revenue, customer region) group_min-
Takes a measure and one or more attributes. Returns the minimum of the measure grouped by the attribute(s).
group_min (revenue, customer region) group_stddev-
Takes a measure and one or more attributes. Returns the standard deviation of the measure grouped by the attribute(s).
group_stddev (revenue, customer region) group_sum-
Takes a measure and one or more attributes. Returns the sum of the measure grouped by the attribute(s).
group_sum (revenue, customer region) group_unique_count-
Takes a column name and one or more attributes. Returns the number of unique values in a column, grouped by the attribute(s).
group_unique_count ( product, supplier) group_variance-
Takes a measure and one or more attributes. Returns the variance of the measure grouped by the attribute(s).
group_variance (revenue, customer region)
Flexible aggregation
The group_aggregate function gives you more control over aggregation and filtering.
See Flexible aggregation to learn more about specifying query_groups with this formula.
