## 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([resp["breakdown_value"] for resp in daily_response], ["value2", "value1", ""])
        self.assertEqual([resp["aggregated_value"] for resp in daily_response], [12.5, 10, 1])
        with freeze_time("2020-01-04T13:00:01Z"):
            weekly_response = Trends().run(
                Filter(
                    data={
                        "display": TRENDS_TABLE,
                        "interval": "day",
                        "breakdown": "$some_property",
                        "events": [{"id": "sign up", "math": "median", "math_property": "$session_duration"}],
                    }
                ),
                self.team,
            )
        self.assertEqual(
            [resp["breakdown_value"] for resp in daily_response],
            [resp["breakdown_value"] for resp in weekly_response],
        )
        self.assertEqual(
            [resp["aggregated_value"] for resp in daily_response],
            [resp["aggregated_value"] for resp in weekly_response],
        )
    @snapshot_clickhouse_queries
    def test_trends_person_breakdown_with_session_property_single_aggregate_math_and_breakdown(self):