## 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
_create_event(team=self.team, event="sign up", distinct_id="blabla", properties={"$math_prop": 3})
        with freeze_time("2020-01-02 00:06:34"):
            _create_event(team=self.team, event="sign up", distinct_id="blabla", properties={"$math_prop": 4})
            _create_event(team=self.team, event="sign up", distinct_id="blabla", properties={"$math_prop": 4})
        with freeze_time("2020-01-04T13:00:01Z"):
            daily_response = Trends().run(
                Filter(
                    data={
                        "display": TRENDS_TABLE,
                        "interval": "week",
                        "events": [{"id": "sign up", "math": "median", "math_property": "$math_prop"}],
                    }
                ),
                self.team,
            )
        with freeze_time("2020-01-04T13:00:01Z"):
            weekly_response = Trends().run(
                Filter(
                    data={
                        "display": TRENDS_TABLE,
                        "interval": "day",
                        "events": [{"id": "sign up", "math": "median", "math_property": "$math_prop"}],
                    }
                ),
                self.team,
            )
        self.assertEqual(daily_response[0]["aggregated_value"], 2.0)
        self.assertEqual(daily_response[0]["aggregated_value"], weekly_response[0]["aggregated_value"])
    @snapshot_clickhouse_queries
    def test_trends_with_session_property_single_aggregate_math(self):