## 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._create_events()
        flush_persons_and_events()
        response = Trends().run(Filter(data={"date_from": "2012-12-12"}), self.team)
        self.assertEqual(response, [])
    def test_interval_filtering(self):
        self._create_events(use_time=True)
        
        with freeze_time("2020-01-02"):
            response = Trends().run(
                Filter(data={"date_from": "2019-12-24", "interval": "hour", "events": [{"id": "sign up"}]}),
                self.team,
            )
        self.assertEqual(response[0]["labels"][3], "24-Dec-2019 03:00")
        self.assertEqual(response[0]["data"][3], 1.0)
        
        self.assertEqual(response[0]["data"][192], 3.0)
        
        with freeze_time("2020-01-02"):
            response = Trends().run(
                Filter(
                    data={
                        
                        "date_from": "2019-11-24",
                        "interval": "week",
                        "events": [{"id": "sign up"}],