## 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/breakdown_props.py
table_name="e",
            person_id_joined_alias=person_id_joined_alias,
            person_properties_mode=person_properties_mode,
        )
    value_expression = _to_value_expression(
        filter.breakdown_type,
        filter.breakdown,
        filter.breakdown_group_type_index,
        filter.breakdown_normalize_url,
        direct_on_events=True if person_properties_mode == PersonPropertiesMode.DIRECT_ON_EVENTS else False,
        cast_as_float=filter.using_histogram,
    )
    if filter.using_histogram:
        bucketing_expression = _to_bucketing_expression(cast(int, filter.breakdown_histogram_bin_count))
        elements_query = HISTOGRAM_ELEMENTS_ARRAY_OF_KEY_SQL.format(
            bucketing_expression=bucketing_expression,
            value_expression=value_expression,
            parsed_date_from=parsed_date_from,
            parsed_date_to=parsed_date_to,
            prop_filters=prop_filters,
            aggregate_operation=aggregate_operation,
            person_join_clauses=person_join_clauses,
            groups_join_clauses=groups_join_clause,
            sessions_join_clauses=sessions_join_clause,
            null_person_filter=null_person_filter,
            **entity_format_params,
        )
    else:
        elements_query = TOP_ELEMENTS_ARRAY_OF_KEY_SQL.format(
            value_expression=value_expression,