Removing empty and invalid rows from the customer data
You can remove all the empty and invalid entries from a dataset in one go.
As you can see in the quality bar under each column, the customer_contact_data.csv contains several rows with either empty or invalid cells. You are going to delete all these rows. Using the quality bar is a quick way of removing empty and invalid records for a given column, but you want to perform this on the whole dataset.
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Procedure
Results
All the rows containing empty records are removed from the dataset and the quality bar under each column is now fully green.