Normalizing
We can specify the fields to be normalized, choosing the Transformation Method that suits the dataset:
Cleaning UP
it's necessary in case of the missing value is greater than "0":
The dataset I'm using is very clean, the reason why it's "0". If it had missing data, we could use that resource to clean it up:
