## 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
if self.using_person_on_events:
            return "", {}
        person_query = PersonQuery(self.filter, self.team_id, self.column_optimizer, entity=self.entity)
        event_join = EVENT_JOIN_PERSON_SQL.format(
            GET_TEAM_PERSON_DISTINCT_IDS=get_team_distinct_ids_query(self.team_id)
        )
        if person_query.is_used:
            query, params = person_query.get_query()
            return (
                f"""
            {event_join}
            INNER JOIN ({query}) person
            ON person.id = {self.DISTINCT_ID_TABLE_ALIAS}.person_id
            """,
                params,
            )
        elif (
            self.entity.math in [UNIQUE_USERS, WEEKLY_ACTIVE, MONTHLY_ACTIVE]
            and not self.team.aggregate_users_by_distinct_id
        ) or self.column_optimizer.is_using_cohort_propertes:
            
            return event_join, {}
        else:
            return "", {}
    def _groups_join_condition(self) -> Tuple[str, Dict]: