Data completeness
Data is complete when every required value is present, with no missing fields or records. A presence check finds blank required fields.
Understanding Data completeness in QCE Digital Solutions Unit 2
What it does: The code tests whether the required field is empty and warns the user, which is a presence check. NOT NULL makes the email a required field, so a record cannot be saved without it and the data stays complete. Required fields hold values every record must have. A middle name is optional, so it should not be required. The sensor readings for those hours are not in the dataset. This is a missing records problem, so the data is incomplete. A presence check only confirms that something is there. A person could type the wrong value and still pass it.
Common mistakes: A presence check finds a blank required field, so the message must tell the user the email is missing. It should print "Email is required". A missing value is tested with IS NULL, not = NULL. Comparing with = NULL never matches, so no blank last names are found.
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