## 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/util.py
from posthog.models.event.sql import EVENT_JOIN_PERSON_SQL
from posthog.models.filters import Filter, PathFilter
from posthog.models.filters.utils import validate_group_type_index
from posthog.models.property.util import get_property_string_expr
from posthog.models.team import Team
from posthog.queries.util import get_earliest_timestamp
logger = structlog.get_logger(__name__)
PROPERTY_MATH_FUNCTIONS = {
    "sum": "sum",
    "avg": "avg",
    "min": "min",
    "max": "max",
    "median": "quantile(0.50)",
    "p90": "quantile(0.90)",
    "p95": "quantile(0.95)",
    "p99": "quantile(0.99)",
}
COUNT_PER_ACTOR_MATH_FUNCTIONS = {
    "avg_count_per_actor": "avg",
    "min_count_per_actor": "min",
    "max_count_per_actor": "max",
    "median_count_per_actor": "quantile(0.50)",
    "p90_count_per_actor": "quantile(0.90)",
    "p95_count_per_actor": "quantile(0.95)",
    "p99_count_per_actor": "quantile(0.99)",
}
def process_math(
    entity: Entity, team: Team, event_table_alias: Optional[str] = None, person_id_alias: str = "person_id"
) -> Tuple[str, str, Dict[str, Any]]:
    aggregate_operation = "count(*)"