## 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
@test_with_materialized_columns(person_properties=["name"])
    def test_breakdown_by_person_property_pie(self):
        self._create_multiple_people()
        with freeze_time("2020-01-04T13:01:01Z"):
            event_response = Trends().run(
                Filter(
                    data={
                        "date_from": "-14d",
                        "breakdown": "name",
                        "breakdown_type": "person",
                        "display": "ActionsPie",
                        "events": [
                            {
                                "id": "watched movie",
                                "name": "watched movie",
                                "type": "events",
                                "order": 0,
                                "math": "dau",
                            }
                        ],
                    }
                ),
                self.team,
            )
            event_response = sorted(event_response, key=lambda resp: resp["breakdown_value"])
            self.assertDictContainsSubset({"breakdown_value": "person1", "aggregated_value": 1}, event_response[0])
            self.assertDictContainsSubset({"breakdown_value": "person2", "aggregated_value": 1}, event_response[1])
            self.assertDictContainsSubset({"breakdown_value": "person3", "aggregated_value": 1}, event_response[2])
    @test_with_materialized_columns(person_properties=["name"])
    def test_filter_test_accounts_cohorts(self):