## 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
{
                    "filter": extra_params,
                    "url": f"api/projects/{team_id}/persons/trends/?{urllib.parse.urlencode(parsed_params)}",
                }
            )
        return persons_url
    def _breakdown_result_descriptors(self, breakdown_value, filter: Filter, entity: Entity):
        extra_label = self._determine_breakdown_label(
            breakdown_value, filter.breakdown_type, filter.breakdown, breakdown_value
        )
        label = "{} - {}".format(entity.name, extra_label)
        additional_values = {"label": label}
        if filter.breakdown_type == "cohort":
            additional_values["breakdown_value"] = "all" if breakdown_value == ALL_USERS_COHORT_ID else breakdown_value
        else:
            additional_values["breakdown_value"] = breakdown_value
        return additional_values
    def _determine_breakdown_label(
        self,
        breakdown_value: int,
        breakdown_type: Optional[str],
        breakdown: Union[str, List[Union[str, int]], None],
        value: Union[str, int],
    ) -> str:
        breakdown = breakdown if breakdown and isinstance(breakdown, list) else []
        if breakdown_type == "cohort":
            return get_breakdown_cohort_name(breakdown_value)
        else:
            return str(value) or "none"
    def _person_join_condition(self) -> Tuple[str, Dict]: