## 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
"breakdown": "order",
                        "actions": [{"id": action.pk, "type": "actions", "order": 0}],
                        "properties": [{"key": "name", "value": "person2", "type": "person"}],
                    }
                ),
                self.team,
            )
            event_response = Trends().run(
                Filter(
                    data={
                        "date_from": "-14d",
                        "breakdown": "order",
                        "events": [
                            {
                                "id": "watched movie",
                                "name": "watched movie",
                                "type": "events",
                                "order": 0,
                                "properties": [{"key": "name", "value": "person2", "type": "person"}],
                            }
                        ],
                    }
                ),
                self.team,
            )
        self.assertDictContainsSubset({"count": 2, "breakdown_value": "2"}, event_response[0])
        self.assertDictContainsSubset({"count": 1, "breakdown_value": "1"}, event_response[1])
        self.assertEntityResponseEqual(event_response, action_response)
    @test_with_materialized_columns(["$some_property"])
    def test_breakdown_filtering(self):