## 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
"group1_properties": {"industry": "finance"},
                },
            ]
        }
        journeys_for(events_by_person=journey, team=self.team)
        filter = Filter(
            data={
                "date_from": "2020-01-01T00:00:00Z",
                "date_to": "2020-01-12",
                "breakdown": "industry",
                "breakdown_type": "group",
                "breakdown_group_type_index": 0,
                "events": [{"id": "sign up", "name": "sign up", "type": "events", "order": 0}],
            }
        )
        response = Trends().run(filter, self.team)
        self.assertEqual(len(response), 2)
        self.assertEqual(response[0]["breakdown_value"], "finance")
        self.assertEqual(response[0]["count"], 2)
        self.assertEqual(response[1]["breakdown_value"], "technology")
        self.assertEqual(response[1]["count"], 1)
        filter = filter.with_data(
            {"breakdown_value": "technology", "date_from": "2020-01-02T00:00:00Z", "date_to": "2020-01-03"}
        )
        entity = Entity({"id": "sign up", "name": "sign up", "type": "events", "order": 0})
        res = self._get_trend_people(filter, entity)
        self.assertEqual(res[0]["distinct_ids"], ["person1"])
    @test_with_materialized_columns(group_properties=[(0, "industry")], materialize_only_with_person_on_events=True)
    @snapshot_clickhouse_queries
    def test_breakdown_by_group_props_person_on_events(self):