## 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
{
                    "filter": extra_params,
                    "url": f"api/projects/{team_id}/persons/trends/?{urllib.parse.urlencode(parsed_params)}",
                }
            )
        return persons_url
    def _breakdown_result_descriptors(self, breakdown_value, filter: Filter, entity: Entity):
        extra_label = self._determine_breakdown_label(
            breakdown_value, filter.breakdown_type, filter.breakdown, breakdown_value
        )
        label = "{} - {}".format(entity.name, extra_label)
        additional_values = {"label": label}
        if filter.breakdown_type == "cohort":
            additional_values["breakdown_value"] = "all" if breakdown_value == ALL_USERS_COHORT_ID else breakdown_value
        else:
            additional_values["breakdown_value"] = breakdown_value
        return additional_values
    def _determine_breakdown_label(
        self,
        breakdown_value: int,
        breakdown_type: Optional[str],
        breakdown: Union[str, List[Union[str, int]], None],
        value: Union[str, int],
    ) -> str:
        breakdown = breakdown if breakdown and isinstance(breakdown, list) else []
        if breakdown_type == "cohort":
            return get_breakdown_cohort_name(breakdown_value)
        else:
            return str(value) or "none"
    def _person_join_condition(self) -> Tuple[str, Dict]: