## 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/test/test_trends.py
entity = Entity({"id": "$pageview", "name": "$pageview", "type": TREND_FILTER_TYPE_EVENTS})
        num_label = breakdown_label(entity, 1)
        self.assertEqual(num_label, {"label": "$pageview - 1", "breakdown_value": 1})
        string_label = breakdown_label(entity, "Chrome")
        self.assertEqual(string_label, {"label": "$pageview - Chrome", "breakdown_value": "Chrome"})
        nan_label = breakdown_label(entity, "nan")
        self.assertEqual(nan_label, {"label": "$pageview - Other", "breakdown_value": "Other"})
        none_label = breakdown_label(entity, "None")
        self.assertEqual(none_label, {"label": "$pageview - Other", "breakdown_value": "Other"})
        cohort_all_label = breakdown_label(entity, "cohort_all")
        self.assertEqual(cohort_all_label, {"label": "$pageview - all users", "breakdown_value": "all"})
        cohort = _create_cohort(team=self.team, name="cohort1", groups=[{"properties": {"name": "Jane"}}])
        cohort_label = breakdown_label(entity, f"cohort_{cohort.pk}")
        self.assertEqual(cohort_label, {"label": f"$pageview - {cohort.name}", "breakdown_value": cohort.pk})
    @test_with_materialized_columns(["key"])
    def test_breakdown_with_filter(self):