This article discusses how to use SAS to filter variables in a dataset based on the percentage of missing values or duplicate values. The missing value statistics can be implemented by either DATA step programming on your own or reusing the existing powerful PROC FREQ.
Tag: missing values
Most SAS programmers would agree that they use the SET statement without giving much thought to the syntax, because it’s such a widely used statement of choice. We routinely name the expected data sets and possibly a few options, and away we go. A visit to the documentation can be
Don’t worry! This is not an excerpt from a romantic love letter. The title of this blog post is an allusion to my talk on "Missing Values", at the A2013 conference in June in London. There is not much time for emotions: dealing with missing values in analysis is not