## 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)`.

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posthog/queries/test/test_trends.py
"actions": [{"id": action.pk, "type": "actions", "order": 0}],
                    }
                ),
                self.team,
            )
            event_response = Trends().run(
                Filter(
                    data={
                        "date_from": "-14d",
                        "breakdown": "name",
                        "breakdown_type": "person",
                        "events": [{"id": "watched movie", "name": "watched movie", "type": "events", "order": 0}],
                    }
                ),
                self.team,
            )
        self.assertListEqual(
            sorted(res["breakdown_value"] for res in event_response), ["person1", "person2", "person3"]
        )
        for response in event_response:
            if response["breakdown_value"] == "person1":
                self.assertEqual(response["count"], 1)
                self.assertEqual(response["label"], "watched movie - person1")
            if response["breakdown_value"] == "person2":
                self.assertEqual(response["count"], 3)
            if response["breakdown_value"] == "person3":
                self.assertEqual(response["count"], 3)
        self.assertEntityResponseEqual(event_response, action_response)
    @test_with_materialized_columns(["name"], person_properties=["name"])
    def test_breakdown_by_person_property_for_person_on_events(self):