## Bug description

When calculating Trends results with an aggregated (e.g. single output, like big number) display type, WAU/MAU don't work. This is because we have an `ACTIVE_USERS_SQL` query for time series display types, but we don't have a version of this for aggregated display types. (See ZEN-1043.)

## How to reproduce

1. Create an insight with a single WAU or MAU series.
2. Switch display type to "Number".
3. Open the "Debug ClickHouse queries" modal from the command palette.
4. See `COUNT(*)` instead of `COUNT(DISTINCT person_id)`.

#### *Thank you* for your bug report – we love squashing them!

posthog/queries/trends/sql.py
{breakdown_filter}
GROUP BY breakdown_value
ORDER BY breakdown_value
"""
SESSION_DURATION_BREAKDOWN_AGGREGATE_QUERY_SQL = """
SELECT {aggregate_operation} AS total, breakdown_value
FROM (
    SELECT any(session_duration) as session_duration, breakdown_value FROM (
        SELECT {event_sessions_table_alias}.$session_id, session_duration, {breakdown_value} AS breakdown_value FROM
            events e
            {person_join}
            {groups_join}
            {sessions_join_condition}
            {breakdown_filter}
        )
    GROUP BY {event_sessions_table_alias}.$session_id, breakdown_value
)
GROUP BY breakdown_value
ORDER BY breakdown_value
"""
BREAKDOWN_ACTIVE_USER_CONDITIONS_SQL = """
WHERE e.team_id = %(team_id)s {event_filter} {filters} {parsed_date_from_prev_range} {parsed_date_to} {actions_query} {null_person_filter}
"""
BREAKDOWN_PROP_JOIN_SQL = """
WHERE e.team_id = %(team_id)s {event_filter} {filters} {parsed_date_from} {parsed_date_to} {null_person_filter}
  AND {breakdown_value_expr} in (%(values)s)
  {actions_query}
"""
BREAKDOWN_HISTOGRAM_PROP_JOIN_SQL = """
WHERE e.team_id = %(team_id)s {event_filter} {filters} {parsed_date_from} {parsed_date_to} {numeric_property_filter} {null_person_filter}