## 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)`.

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posthog/queries/trends/breakdown.py
self, filter: Filter, entity: Entity, team_id: int, dates: List[datetime], breakdown_value: Union[str, int]
    ) -> List[Dict[str, Any]]:
        persons_url = []
        for date in dates:
            date_in_utc = datetime(
                date.year,
                date.month,
                date.day,
                getattr(date, "hour", 0),
                getattr(date, "minute", 0),
                getattr(date, "second", 0),
                tzinfo=getattr(date, "tzinfo", pytz.UTC),
            ).astimezone(pytz.UTC)
            filter_params = filter.to_params()
            extra_params = {
                "entity_id": entity.id,
                "entity_type": entity.type,
                "entity_math": entity.math,
                "date_from": filter.date_from if filter.display == TRENDS_CUMULATIVE else date_in_utc,
                "date_to": date_in_utc,
                "breakdown_value": breakdown_value,
                "breakdown_type": filter.breakdown_type or "event",
            }
            parsed_params: Dict[str, str] = encode_get_request_params({**filter_params, **extra_params})
            persons_url.append(