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Learn SAS
Maggie Miller 0
It’s war… Stat Wars!

There’s a new video series launching in the SAS Education department unlike anything that’s ever been done before.  It’s called Stat Wars. Here’s how it works… two SAS instructors go head-to-head and battle it out over a statistics challenge. (So far no injuries have been reported.)  It’s educational and engaging,

Data Visualization
Sanjay Matange 0
Naomi's Graph Makeover Contest

Naomi Robbins has posted a contest, part 1 of which is to submit alternative representations for the following graph: Clearly, usage of two pie charts to represent the share of the B2B and B2C referrals will invite many responses.  To create the graph, I took the data shown in the Pie Charts themselves, so we are using percent

Learn SAS
Shelly Goodin 0
SAS author's tip: Creating permanent data sets

This week's SAS tip is from Phil Mason and his ever-popular book In the Know...SAS Tips and Techniques From Around the Globe, Second Edition. In a review, SAS user Ian Whitlock said "Phil Mason is the grand master in the art of the SAS software tip." It was definitely difficult picking just one excerpt to

Shelly Goodin 0
6 bestselling books at 4 fabulous conferences

Many new books topped the charts at NESUG, SESUG, SCSUG, and Analytics 2012. Did any of your go-to SAS books make the lists? If you’re curious, take a look at our previously featured post What SAS users are reading this fall: early book buzz to view bestselling titles at these

Rick Wicklin 0
Remove or keep: Which is faster?

In a recent article on efficient simulation from a truncated distribution, I wrote some SAS/IML code that used the LOC function to find and exclude observations that satisfy some criterion. Some readers came up with an alternative algorithm that uses the REMOVE function instead of subscripts. I remarked in a

Analytics | Fraud & Security Intelligence
Carl Hammersburg 0
Employee misclassification: Will the last employee please turn off the lights?

Independent contractor.  Two very simple words that have a dramatic impact on businesses, workers, and government programs.  While most people have a basic understanding of the term, they often have very little understanding of the laws governing it, which vary significantly program by program and state by state.  This has

Shelly Goodin 0
SAS author's tip: General items to watch for when transferring data

This week's SAS tip is from Carol Matthews and Brian Shilling's book Validating Clinical Trial Data Reporting with SAS. Written for SAS programmers, this engaging guide contains many hands-on tips--including the featured excerpt below. The following excerpt is from SAS Press authors Carol Matthews and Brian Shilling's book "Validating Clinical Trial Data Reporting with SAS"

Chris Hemedinger 0
Why "programmer" is not in my job title

There are two activities which, when taken in combination, have occupied the vast majority of my working hours for the past 20 years: writing computer programs and writing...well, just writing. During my college years I completed my degree with a double-major: Computer Science and English. (My English degree has a

Analytics | Fraud & Security Intelligence
Greg Henderson 0
"Financial fraud is the dominant crime of this millennium"

Several weeks ago, South Carolina was the victim of what some experts believe to be the largest cyber-attack against a state tax department in history. Approximately 3.6 million personal South Carolina income tax returns were exposed, and nearly 657,000 businesses compromised, in an international hacking attack. Coincidentally, SAS and the SC

Michael Tuchman 0
ODS at your fingertips with PROC DOCUMENT

The ODS DOCUMENT and the DOCUMENT procedure give you the ability to save ODS output. Once saved, you can print that same work, as many times as you want, to any ODS destination. But what does this mean for you? With PROC DOCUMENT, you can: Make changes to the appearance

Learn SAS
Rick Wicklin 0
Beware the naked LOC

The LOC function is one of the most important functions in the SAS/IML language. The LOC function finds elements of a vector or matrix that satisfy some condition. For example, if you are going to apply a logarithmic transform to data, you can use the LOC function to find all

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