Anomaly detection
You can now add a new parameter to your column anomaly tests - `dimensions`.
This will calculate the column metrics for every time bucket and table dimension values, allowing you to detect anomalies in specific segments of your data.
For example, if you want to detect anomalies in a revenue column and you have multiple apps in different countries - now you can detect anomalies in revenue in a specific country.
Here is an example of how this can be configured-
```yaml
models:
....
columns:
- name: in_app_purchase_revenue
tests:
- elementary.column_anomalies:
column_anomalies:
- sum
dimensions:
- app_name
- country
```