## 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
properties={"$some_property": f"value_{i}", "$math_prop": 1},
                )
                _create_event(
                    team=self.team,
                    event="sign up",
                    distinct_id=f"person{i}",
                    properties={"$some_property": f"value_{i}", "$math_prop": 1},
                )
            _create_person(team_id=self.team.pk, distinct_ids=[f"person21"])
            _create_event(
                team=self.team,
                event="sign up",
                distinct_id=f"person21",
                properties={"$some_property": "value_21", "$math_prop": 25},
            )
        with freeze_time("2020-01-04T13:00:01Z"):
            daily_response = Trends().run(
                Filter(
                    data={
                        "display": TRENDS_TABLE,
                        "interval": "day",
                        "breakdown": "$some_property",
                        "events": [{"id": "sign up", "math": "p90", "math_property": "$math_prop"}],
                    }
                ),
                self.team,
            )
        breakdown_vals = [val["breakdown_value"] for val in daily_response]
        self.assertTrue("value_21" in breakdown_vals)
    def test_trends_compare_day_interval_relative_range(self):