## 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.smoothing_intervals > 1:
                smoothing_operation = f"""
                    AVG(SUM(total))
                    OVER (
                        ORDER BY day_start
                        ROWS BETWEEN {filter.smoothing_intervals - 1} PRECEDING
                        AND CURRENT ROW
                    )"""
            else:
                smoothing_operation = "SUM(total)"
            final_query = AGGREGATE_SQL.format(
                null_sql=null_sql,
                content_sql=content_sql,
                smoothing_operation=smoothing_operation,
                aggregate="count" if filter.smoothing_intervals < 2 else "floor(count)",
            )
            return final_query, params, self._parse_total_volume_result(filter, entity, team)
    def _parse_total_volume_result(self, filter: Filter, entity: Entity, team: Team) -> Callable:
        def _parse(result: List) -> List:
            parsed_results = []
            if result is not None:
                for stats in result:
                    parsed_result = parse_response(stats, filter)
                    parsed_result.update({"persons_urls": self._get_persons_url(filter, entity, team.pk, stats[0])})
                    parsed_results.append(parsed_result)
                    parsed_result.update({"filter": filter.to_dict()})
            return parsed_results
        return _parse
    def _parse_aggregate_volume_result(self, filter: Filter, entity: Entity, team_id: int) -> Callable: