December 2017
Beginner to intermediate
238 pages
5h 35m
English
Missing data is different than other topics in that you cannot just choose to ignore it. This is because failing to make a choice just means you are using the default option for a procedure, which most of the time is not optimal. In fact, it is important to remember that every model deals with missing data in a certain way, and some modeling techniques handle missing data better than others.
As was alluded to previously, in Modeler there are four types of missing data:
|
Type of missing data |
Definition |
|
$Null$ value |
Applies only to numeric fields. This is a cell that is empty or has an illegal value. |
|
White space |
Applies only to string fields. This is a cell that is empty or has spaces. |
|
Empty string |
Applies ... |
Read now
Unlock full access