## 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/total_volume.py
enumerate_time_range,
    parse_response,
    process_math,
)
from posthog.queries.util import TIME_IN_SECONDS, get_interval_func_ch, get_trunc_func_ch, start_of_week_fix
from posthog.utils import encode_get_request_params
class TrendsTotalVolume:
    def _total_volume_query(self, entity: Entity, filter: Filter, team: Team) -> Tuple[str, Dict, Callable]:
        trunc_func = get_trunc_func_ch(filter.interval)
        interval_func = get_interval_func_ch(filter.interval)
        aggregate_operation, join_condition, math_params = process_math(entity, team, person_id_alias="person_id")
        trend_event_query = TrendsEventQuery(
            filter=filter,
            entity=entity,
            team=team,
            should_join_distinct_ids=True
            if join_condition != ""
            or (entity.math in [WEEKLY_ACTIVE, MONTHLY_ACTIVE] and not team.aggregate_users_by_distinct_id)
            else False,
            using_person_on_events=team.actor_on_events_querying_enabled,
        )
        event_query, event_query_params = trend_event_query.get_query()
        content_sql_params = {
            "aggregate_operation": aggregate_operation,
            "timestamp": "e.timestamp",
            "interval": trunc_func,
            "interval_func": interval_func,
        }
        params: Dict = {"team_id": team.id, "timezone": team.timezone}
        params = {**params, **math_params, **event_query_params}