## 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/trends/breakdown.py
self, filter: Filter, entity: Entity, team_id: int, dates: List[datetime], breakdown_value: Union[str, int]
    ) -> List[Dict[str, Any]]:
        persons_url = []
        for date in dates:
            date_in_utc = datetime(
                date.year,
                date.month,
                date.day,
                getattr(date, "hour", 0),
                getattr(date, "minute", 0),
                getattr(date, "second", 0),
                tzinfo=getattr(date, "tzinfo", pytz.UTC),
            ).astimezone(pytz.UTC)
            filter_params = filter.to_params()
            extra_params = {
                "entity_id": entity.id,
                "entity_type": entity.type,
                "entity_math": entity.math,
                "date_from": filter.date_from if filter.display == TRENDS_CUMULATIVE else date_in_utc,
                "date_to": date_in_utc,
                "breakdown_value": breakdown_value,
                "breakdown_type": filter.breakdown_type or "event",
            }
            parsed_params: Dict[str, str] = encode_get_request_params({**filter_params, **extra_params})
            persons_url.append(