## 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
# CH 
        # Wh
        # On
        # Th
        # 1. 
        # 2. 
        with freeze_time("2020-01-04T13:01:01Z"):
            Trends().run(
                Filter(
                    data={
                        "date_from": "-14d",
                        "events": [{"id": "watched movie", "name": "watched movie", "type": "events", "order": 0}],
                        "properties": [
                            {"key": "email", "type": "event", "value": "posthog.com", "operator": "not_icontains"},
                            {"key": "name", "type": "event", "value": "posthog.com", "operator": "not_icontains"},
                            {"key": "name", "type": "person", "value": "posthog.com", "operator": "not_icontains"},
                        ],
                    }
                ),
                self.team,
            )
    def test_trends__per_user_average(self):