## 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
props_to_filter = self.filter.property_groups.combine_property_group(
            PropertyOperatorType.AND, self.entity.property_groups
        )
        target_properties: Optional[PropertyGroup] = props_to_filter
        if not self.using_person_on_events:
            target_properties = self.column_optimizer.property_optimizer.parse_property_groups(props_to_filter).outer
        return parse_prop_grouped_clauses(
            team_id=self.team_id,
            property_group=target_properties,
            table_name="e",
            person_properties_mode=self._person_properties_mode,
            person_id_joined_alias=f"{self.DISTINCT_ID_TABLE_ALIAS}.person_id"
            if not self.using_person_on_events
            else "person_id",
        )
    def get_query(self) -> Tuple[str, Dict, Callable]:
        date_params = {}
        query_date_range = QueryDateRange(filter=self.filter, team=self.team)
        parsed_date_from, date_from_params = query_date_range.date_from
        parsed_date_to, date_to_params = query_date_range.date_to
        num_intervals = query_date_range.num_intervals
        seconds_in_interval = TIME_IN_SECONDS[self.filter.interval]
        interval_annotation = query_date_range.interval_annotation
        date_params.update(date_from_params)
        date_params.update(date_to_params)
        prop_filters, prop_filter_params = self._props_to_filter
        aggregate_operation, _, math_params = process_math(
            self.entity,