## 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
if filter.display in NON_TIME_SERIES_DISPLAY_TYPES:
            if entity.math in PROPERTY_MATH_FUNCTIONS and entity.math_property == "$session_duration":
                
                
                content_sql = SESSION_DURATION_AGGREGATE_SQL.format(event_query=event_query, **content_sql_params)
            elif entity.math in COUNT_PER_ACTOR_MATH_FUNCTIONS:
                content_sql = VOLUME_PER_ACTOR_AGGREGATE_SQL.format(
                    event_query=event_query,
                    **content_sql_params,
                    aggregator="distinct_id" if team.aggregate_users_by_distinct_id else "person_id",
                )
            else:
                content_sql = VOLUME_AGGREGATE_SQL.format(event_query=event_query, **content_sql_params)
            return (content_sql, params, self._parse_aggregate_volume_result(filter, entity, team.id))
        else:
            if entity.math in [WEEKLY_ACTIVE, MONTHLY_ACTIVE]:
                content_sql = ACTIVE_USERS_SQL.format(
                    event_query=event_query,
                    **content_sql_params,
                    parsed_date_to=trend_event_query.parsed_date_to,
                    parsed_date_from=trend_event_query.parsed_date_from,
                    aggregator="distinct_id" if team.aggregate_users_by_distinct_id else "person_id",
                    start_of_week_fix=start_of_week_fix(filter.interval),
                    **trend_event_query.active_user_params,
                )
            elif filter.display == TRENDS_CUMULATIVE and entity.math == UNIQUE_USERS:
                
                cumulative_sql = CUMULATIVE_SQL.format(event_query=event_query)
                content_sql = VOLUME_SQL.format(
                    event_query=cumulative_sql,