## 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
values_arr = get_breakdown_prop_values(
            self.filter,
            self.entity,
            aggregate_operation,
            self.team,
            extra_params=math_params,
            column_optimizer=self.column_optimizer,
            person_properties_mode=self._person_properties_mode,
        )
        
        assert isinstance(self.filter.breakdown, str)
        breakdown_value = self._get_breakdown_value(self.filter.breakdown)
        numeric_property_filter = ""
        if self.filter.using_histogram:
            numeric_property_filter = f"AND {breakdown_value} is not null"
            breakdown_value, values_arr = self._get_histogram_breakdown_values(breakdown_value, values_arr)
        return (
            {"values": values_arr},
            BREAKDOWN_PROP_JOIN_SQL if not self.filter.using_histogram else BREAKDOWN_HISTOGRAM_PROP_JOIN_SQL,
            {"breakdown_value_expr": breakdown_value, "numeric_property_filter": numeric_property_filter},
            breakdown_value,
        )
    def _get_breakdown_value(self, breakdown: str) -> str: