## 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/test/test_trends.py
timestamp="2020-01-11T12:00:00Z",
            properties={"key": "val"},
        )
        self.team.test_account_filters = [{"key": "name", "value": "p1", "operator": "is_not", "type": "person"}]
        self.team.save()
        filter = Filter(
            {
                "date_from": "2020-01-01T00:00:00Z",
                "date_to": "2020-01-12T00:00:00Z",
                "events": [{"id": "$pageview", "type": "events", "order": 0}],
                "filter_test_accounts": "true",
            },
            team=self.team,
        )
        result = Trends().run(filter, self.team)
        self.assertEqual(result[0]["count"], 1)
        filter2 = Filter(
            {
                "date_from": "2020-01-01T00:00:00Z",
                "date_to": "2020-01-12T00:00:00Z",
                "events": [{"id": "$pageview", "type": "events", "order": 0}],
            },
            team=self.team,
        )
        result = Trends().run(filter2, self.team)
        self.assertEqual(result[0]["count"], 2)
        result = Trends().run(filter.with_data({"breakdown": "key"}), self.team)
        self.assertEqual(result[0]["count"], 1)
    @test_with_materialized_columns(["$some_property"])
    def test_breakdown_filtering_bar_chart_by_value(self):