## 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
"properties": [{"key": "email", "type": "person", "value": "is_set", "operator": "is_set"}],
                    }
                ),
                self.team,
            )
        self.assertEqual(len(response_with_email_filter), 1)
        self.assertEqual(response_with_email_filter[0]["count"], 2)
    def test_dau_filtering(self):
        sign_up_action, person = self._create_events()
        with freeze_time("2020-01-02"):
            _create_person(team_id=self.team.pk, distinct_ids=["someone_else"])
            _create_event(team=self.team, event="sign up", distinct_id="someone_else")
        with freeze_time("2020-01-04"):
            action_response = Trends().run(
                Filter(data={"actions": [{"id": sign_up_action.id, "math": "dau"}]}), self.team
            )
            response = Trends().run(Filter(data={"events": [{"id": "sign up", "math": "dau"}]}), self.team)
        self.assertEqual(response[0]["data"][4], 1)
        self.assertEqual(response[0]["data"][5], 2)
        self.assertEntityResponseEqual(action_response, response)
    def _create_maths_events(self, values):
        sign_up_action, person = self._create_events()
        _create_person(team_id=self.team.pk, distinct_ids=["someone_else"])
        for value in values:
            _create_event(
                team=self.team, event="sign up", distinct_id="someone_else", properties={"some_number": value}
            )
        _create_event(team=self.team, event="sign up", distinct_id="someone_else", properties={"some_number": None})
        return sign_up_action
    def _test_math_property_aggregation(self, math_property, values, expected_value):