## 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
)
            else:
                breakdown_value, _ = get_property_string_expr("events", breakdown, "%(key)s", "properties")
        if self.filter.using_histogram:
            breakdown_value = f"toFloat64OrNull(toString({breakdown_value}))"
        breakdown_value = normalize_url_breakdown(breakdown_value, self.filter.breakdown_normalize_url)
        return breakdown_value
    def _get_histogram_breakdown_values(self, raw_breakdown_value: str, buckets: List[int]):
        multi_if_conditionals = []
        values_arr = []
        if len(buckets) == 1:
            
            
            buckets = [buckets[0], buckets[0]]
        for i in range(len(buckets) - 1):
            last_bucket = i == len(buckets) - 2
            
            
            lower_bound = buckets[i]
            upper_bound = buckets[i + 1] + 0.01 if last_bucket else buckets[i + 1]
            multi_if_conditionals.append(
                f"{raw_breakdown_value} >= {lower_bound} AND {raw_breakdown_value} < {upper_bound}"
            )
            bucket_value = f"[{lower_bound},{upper_bound}]"
            multi_if_conditionals.append(f"'{bucket_value}'")
            values_arr.append(bucket_value)
        
        multi_if_conditionals.append(f"""'["",""]'""")
        return f"multiIf({','.join(multi_if_conditionals)})", values_arr
    def breakdown_sort_function(self, value):