## 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/breakdown.py
from posthog.queries.session_query import SessionQuery
from posthog.queries.trends.sql import (
    BREAKDOWN_ACTIVE_USER_CONDITIONS_SQL,
    BREAKDOWN_ACTIVE_USER_INNER_SQL,
    BREAKDOWN_AGGREGATE_QUERY_SQL,
    BREAKDOWN_COHORT_JOIN_SQL,
    BREAKDOWN_CUMULATIVE_INNER_SQL,
    BREAKDOWN_HISTOGRAM_PROP_JOIN_SQL,
    BREAKDOWN_INNER_SQL,
    BREAKDOWN_PROP_JOIN_SQL,
    BREAKDOWN_QUERY_SQL,
    SESSION_DURATION_BREAKDOWN_AGGREGATE_QUERY_SQL,
    SESSION_DURATION_BREAKDOWN_INNER_SQL,
    VOLUME_PER_ACTOR_BREAKDOWN_AGGREGATE_SQL,
    VOLUME_PER_ACTOR_BREAKDOWN_INNER_SQL,
)
from posthog.queries.trends.util import (
    COUNT_PER_ACTOR_MATH_FUNCTIONS,
    PROPERTY_MATH_FUNCTIONS,
    ensure_value_is_json_serializable,
    enumerate_time_range,
    get_active_user_params,
    parse_response,
    process_math,
)
from posthog.queries.util import start_of_week_fix
from posthog.utils import encode_get_request_params
class TrendsBreakdown:
    DISTINCT_ID_TABLE_ALIAS = "pdi"
    def __init__(