## 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
{"key": "key", "value": "val"},
                                    {
                                        "key": "email",
                                        "value": "@posthog.com",
                                        "operator": "icontains",
                                        "type": "person",
                                    },
                                ],
                            },
                        }
                    ],
                    "properties": {
                        "type": "AND",
                        "values": [
                            {
                                "type": "AND",
                                "values": [
                                    {"key": "$os", "value": "android", "operator": "exact", "type": "person"},
                                    {"key": "$browser", "value": "chrome", "operator": "exact", "type": "person"},
                                ],
                            }
                        ],
                    },
                }
            ),
            self.team,
        )
        self.assertEqual(len(response), 1)
        self.assertEqual(response[0]["breakdown_value"], "test2@posthog.com")
    def _create_active_users_events(self):