## 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
timestamp="2020-01-11T12:00:00Z",
            properties={"key": "val"},
        )
        self.team.test_account_filters = [{"key": "name", "value": "p1", "operator": "is_not", "type": "person"}]
        self.team.save()
        filter = Filter(
            {
                "date_from": "2020-01-01T00:00:00Z",
                "date_to": "2020-01-12T00:00:00Z",
                "events": [{"id": "$pageview", "type": "events", "order": 0}],
                "filter_test_accounts": "true",
            },
            team=self.team,
        )
        result = Trends().run(filter, self.team)
        self.assertEqual(result[0]["count"], 1)
        filter2 = Filter(
            {
                "date_from": "2020-01-01T00:00:00Z",
                "date_to": "2020-01-12T00:00:00Z",
                "events": [{"id": "$pageview", "type": "events", "order": 0}],
            },
            team=self.team,
        )
        result = Trends().run(filter2, self.team)
        self.assertEqual(result[0]["count"], 2)
        result = Trends().run(filter.with_data({"breakdown": "key"}), self.team)
        self.assertEqual(result[0]["count"], 1)
    @test_with_materialized_columns(["$some_property"])
    def test_breakdown_filtering_bar_chart_by_value(self):