## 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
}
                ),
                self.team,
            )
        self.assertEqual(
            response[0]["labels"][:5], ["24-Nov-2019", "1-Dec-2019", "8-Dec-2019", "15-Dec-2019", "22-Dec-2019"]
        )
        self.assertEqual(response[0]["data"][:5], [0.0, 0.0, 0.0, 0.0, 1.0])
        # 
        with freeze_time("2020-01-02"):
            response = Trends().run(
                Filter(data={"date_from": "2019-9-24", "interval": "month", "events": [{"id": "sign up"}]}),
                self.team,
            )
        self.assertEqual(response[0]["labels"][0], "1-Sep-2019")
        self.assertEqual(response[0]["data"][0], 0)
        self.assertEqual(response[0]["labels"][3], "1-Dec-2019")
        self.assertEqual(response[0]["data"][3], 1.0)
        self.assertEqual(response[0]["labels"][4], "1-Jan-2020")
        self.assertEqual(response[0]["data"][4], 4.0)
        with freeze_time("2020-01-02 23:30"):
            _create_event(team=self.team, event="sign up", distinct_id="blabla")
        # 
        with freeze_time("2020-01-02T23:31:00Z"):
            response = Trends().run(
                Filter(data={"date_from": "dStart", "interval": "hour", "events": [{"id": "sign up"}]}), self.team
            )
        self.assertEqual(response[0]["labels"][23], "2-Jan-2020 23:00")
        self.assertEqual(response[0]["data"][23], 1.0)
    def test_breakdown_label(self):