## Bug description

When calculating Trends results with an aggregated (e.g. single output, like big number) display type, WAU/MAU don't work. This is because we have an `ACTIVE_USERS_SQL` query for time series display types, but we don't have a version of this for aggregated display types. (See ZEN-1043.)

## How to reproduce

1. Create an insight with a single WAU or MAU series.
2. Switch display type to "Number".
3. Open the "Debug ClickHouse queries" modal from the command palette.
4. See `COUNT(*)` instead of `COUNT(DISTINCT person_id)`.

#### *Thank you* for your bug report – we love squashing them!

posthog/queries/trends/breakdown.py
)
            elif self.filter.display == TRENDS_CUMULATIVE and self.entity.math == "dau":
                inner_sql = BREAKDOWN_CUMULATIVE_INNER_SQL.format(
                    breakdown_filter=breakdown_filter,
                    person_join=person_join_condition,
                    groups_join=groups_join_condition,
                    sessions_join=sessions_join_condition,
                    person_id_alias=self.DISTINCT_ID_TABLE_ALIAS if not self.using_person_on_events else "e",
                    aggregate_operation=aggregate_operation,
                    interval_annotation=interval_annotation,
                    breakdown_value=breakdown_value,
                    start_of_week_fix=start_of_week_fix(self.filter.interval),
                    **breakdown_filter_params,
                )
            elif self.entity.math in PROPERTY_MATH_FUNCTIONS and self.entity.math_property == "$session_duration":
                
                
                inner_sql = SESSION_DURATION_BREAKDOWN_INNER_SQL.format(
                    breakdown_filter=breakdown_filter,
                    person_join=person_join_condition,
                    groups_join=groups_join_condition,
                    sessions_join=sessions_join_condition,
                    aggregate_operation=aggregate_operation,
                    interval_annotation=interval_annotation,
                    breakdown_value=breakdown_value,
                    start_of_week_fix=start_of_week_fix(self.filter.interval),
                    event_sessions_table_alias=SessionQuery.SESSION_TABLE_ALIAS,
                    **breakdown_filter_params,
                )
            elif self.entity.math in COUNT_PER_ACTOR_MATH_FUNCTIONS: