## 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
if self.filter.using_histogram:
            return json.loads(value.get("breakdown_value"))[0]
        if value.get("breakdown_value") == "all":
            return (-1, "")
        if self.filter.breakdown_type == "session":
            
            return (-1, "")
        count_or_aggregated_value = value.get("count", value.get("aggregated_value") or 0)
        return count_or_aggregated_value * -1, value.get("label")  
    def _parse_single_aggregate_result(
        self, filter: Filter, entity: Entity, additional_values: Dict[str, Any]
    ) -> Callable:
        def _parse(result: List) -> List:
            parsed_results = []
            for stats in result:
                aggregated_value = ensure_value_is_json_serializable(stats[0])
                result_descriptors = self._breakdown_result_descriptors(stats[1], filter, entity)
                filter_params = filter.to_params()
                extra_params = {
                    "entity_id": entity.id,
                    "entity_type": entity.type,
                    "breakdown_value": result_descriptors["breakdown_value"],
                    "breakdown_type": filter.breakdown_type or "event",
                }
                parsed_params: Dict[str, str] = encode_get_request_params({**filter_params, **extra_params})
                parsed_result = {