Match the example on the left with the related data transformation process on the right. A customer is 1,000 years old. [Choose] Data query Data imputation Data conversion Data cleansing Data dimension reduction Who is our employee-of-the-month? The missing income of a customer is replaced with the average income of all customers. [ Choose [Choose ) The age field of the customer table is removed because we can always compute a customer's age from his/her data of birth