Does this situation sound familiar? You have a complex analysis that must be finished urgently. The data was delivered late and its quality and structure are far from the expected standard. The time pressure to present the results is huge, and your SAS program is not giving you the expected
In this post I describe the important tasks of data preparation, exploration and binning.These three steps enable you to know your data well and build accurate predictive models. First you need to clean your data. Cleaning includes eliminating variables which have uneven spread across the target variable. I give an
Editor's note: This series of blogs addresses the questions we are most frequently asked at SAS Press! In our last post about how to write a good outline, we discussed the importance of developing an outline for your proposed SAS Press book and gave some tips on how to do
