## 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/breakdown_props.py
entity = kwargs.pop("entity", None)
    cohorts = (
        Cohort.objects.filter(team_id=team.pk, pk__in=[b for b in filter.breakdown if b != "all"])
        if isinstance(filter.breakdown, list)
        else Cohort.objects.filter(team_id=team.pk, pk=filter.breakdown)
    )
    cohort_queries, params = _parse_breakdown_cohorts(list(cohorts))
    ids = [cohort.pk for cohort in cohorts]
    if isinstance(filter.breakdown, list) and "all" in filter.breakdown:
        all_query, all_params = _format_all_query(team, filter, entity=entity)
        cohort_queries.append(all_query)
        params = {**params, **all_params}
        ids.append(ALL_USERS_COHORT_ID)
    return " UNION ALL ".join(cohort_queries), ids, params
def _parse_breakdown_cohorts(cohorts: List[Cohort]) -> Tuple[List[str], Dict]: