## Bug description

Monthly Active Users metric seems wrong when choosing "# Number" as chart type.

Number: 
![image](https://user-images.githubusercontent.com/513669/201980874-be7d9c0d-5c9c-4c1e-955c-ea4143c84061.png)

Line chart: 
![image](https://user-images.githubusercontent.com/513669/201980986-b17af929-84e5-4f6a-b7f8-23b7ac8bedbc.png)

**490 != 70**

## How to reproduce

1. Create a new insight using any event and the "Monthly active users" metric
2. Date range = This month + Grouped by = Day
3. Choose chart type as Number => remember value
4. Change chart type as Linear => check last data point

=> the 2 values do not match
=> in other words there's a diff between a total aggregation and an aggregation per bucket of time ?

## Environment

- [x] PostHog Cloud
posthog/queries/test/test_trends.py
self._test_math_property_aggregation("median", values=range(101, 201), expected_value=150)
    @test_with_materialized_columns(["some_number"])
    def test_p90_filtering(self):
        self._test_math_property_aggregation("p90", values=range(101, 201), expected_value=190)
    @test_with_materialized_columns(["some_number"])
    def test_p95_filtering(self):
        self._test_math_property_aggregation("p95", values=range(101, 201), expected_value=195)
    @test_with_materialized_columns(["some_number"])
    def test_p99_filtering(self):
        self._test_math_property_aggregation("p99", values=range(101, 201), expected_value=199)
    @test_with_materialized_columns(["some_number"])
    def test_avg_filtering_non_number_resiliency(self):
        sign_up_action, person = self._create_events()
        _create_person(team_id=self.team.pk, distinct_ids=["someone_else"])
        _create_event(team=self.team, event="sign up", distinct_id="someone_else", properties={"some_number": 2})
        _create_event(team=self.team, event="sign up", distinct_id="someone_else", properties={"some_number": "x"})
        _create_event(team=self.team, event="sign up", distinct_id="someone_else", properties={"some_number": None})
        _create_event(team=self.team, event="sign up", distinct_id="someone_else", properties={"some_number": 8})
        action_response = Trends().run(
            Filter(data={"actions": [{"id": sign_up_action.id, "math": "avg", "math_property": "some_number"}]}),
            self.team,
        )
        event_response = Trends().run(
            Filter(data={"events": [{"id": "sign up", "math": "avg", "math_property": "some_number"}]}), self.team
        )
        self.assertEqual(action_response[0]["data"][-1], 5)
        self.assertEntityResponseEqual(action_response, event_response)
    @test_with_materialized_columns(["$some_property"])
    def test_per_entity_filtering(self):