Explain how you would handle duplicates in a dataset at Epsilon.
Using the provided epsilon_events table, identify duplicate records based on matching customer_id, event_date, event_type, and event_value. Report each duplicated value combination and how many rows could be removed while retaining one copy.
customer_id, event_date, event_type, event_value, duplicate_count, and removable_count.customer_id, event_date, event_type, and event_value.| Column | Type | Description |
|---|---|---|
| event_idPK | INT | Unique stored row identifier |
| customer_id | INT | Identifier of the customer associated with the event |
| event_date | DATE | Date on which the event occurred |
| event_type | VARCHAR(50) | Type of event |
| event_value | NUMERIC(10,2) | Optional numeric value recorded for the event |