This post is the second in a series that illustrates three different solutions to "flattening" hierarchical data. Solution 1, from my previous post, created one observation per header record, summarizing the detail data with a COUNT variable, like this: Summary Approach: One observation per header record Obs Family Count
A family and its members represent a simple hierarchy. For example, the Jones family has four members: A text file might represent this hierarchy with family records followed by family members' records, like this: The PROC FORMAT step below defines the codes in Column 1: proc format; value $type
Do you use an array of tools to perform predictive analytics on your data? Is your current tool not flexible enough to accommodate some of your requirements? SAS Enterprise Miner may be your solution. With growing number of data mining applications, having a tool which can do variety of analysis
Krystian Matusz is what I’d call a super SAS user. He currently holds seven out of the nine credentials SAS offers. SAS Certified Advanced Programmer for SAS 9 SAS Certified Base Programmer for SAS 9 SAS Certified BI Content Developer for SAS 9 SAS Certified Clinical Trials Programmer Using SAS
I’m not a big gambler, but there is something I would put my money on – analytics. Analytics is helping companies turn information into value. And yes, I mean money. If you want to learn about the latest analytics trends and get in on some of that “value” – attend
Have you ever waited a bit for SAS Enterprise Guide to display the Output Data tab when submitting a SAS program that generates multiple output tables? Or, perhaps your program only generates one big output table but it takes a little while for it to surface on the Output Data
Default PROC FREQ output looks like this: Suppose you don't want the two cumulative statistic columns above. No problem. Those can be suppressed with the NOCUM option on the TABLE statement, like this: proc freq data=sashelp.shoes; table product / nocum; run;
I recently taught a SAS training course where the students were very engaged. They had so many questions, I could have spent the next month writing helpful blog posts that came from that one class. However, I picked this one question that the class begged for me to share. The
“Phew! That tip alone was a life saver,” said a student in one of my SAS SQL classes. “Before, I would have to read about ten Google search results before I could find that content of the sort you shared in class.” That student was referring to the tip I
Dataset too big for PROC PRINT? One weird trick solves your problem! proc print data=bigdata (obs=10); run; The OBS= dataset option specifies the last observation to process from an input dataset. In the above example, regardless of dataset size, only the first 10 observations are printed; an easy way to
