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Data Visualization
Sanjay Matange 0
Layered graphs

Browsing graphs on the web, this graph caught my eye:  The Arctic Sea Ice Volume Graph.   My interest is not so much in the debate on Climate Change or Global Warming.  To me, this graph has some interesting features that can help show the benefits of plot layering to

Data Visualization
Sanjay Matange 0
Sochi Medal Graphs

The attention of the world is now on Sochi and the Winter Games.  Gold, Silver and Bronze medals are being earned by these amazing athletes, and everyone has an eye on the tally.  Andre sent me a link to TRinker's R Blog, showing a graph of the current tally.  Andre

Analytics | Customer Intelligence
Aiman Zeid 0
Valentine’s Day might be romantic, but making money off it requires data driven decision-making

Valentine’s Day is one of those make-or-break holidays for gift retailers. They are selling "nice to have" items, not necessities. Many use some type of analytics to segment customers for personalized messages. It's not as straightforward as it sounds, especially if the organization hasn't committed to an enterprise-wide approach to

Data Visualization
Sanjay Matange 0
Survival Plot

One of the most popular graph amongst clinical and pharmaceutical users is the Survival Plot as created from the LIFETEST Procedure.  This is one graph that users most often want to customize.  See Creating and Customizing the Kaplan-Meier Survival Plot in PROC LIFETEST - Warren F. Kuhfeld and Ying So, SAS Institute

Advanced Analytics | SAS Events | Students & Educators
Polly Mitchell-Guthrie 0
Skills needed for competitive advantage in analytics (hint, it's not just the math)

I'm a big believer in both/and thinking, so I'll stand squarely in the middle and say that the most important skills for competitive advantage in analytics include a combination of top-notch modeling abilities along with business acumen, critical thinking, and curiosity. I was intrigued by a blog post on this

Data Management
David Pope 0
The magic of ESP for the oil and gas industry

Acronyms are funny things. Need an example? Try decoding this sentence: How is event stream processing (ESP), applied to electrical submersible pumps (ESP) in the oil and gas industry, like extrasensory perception (ESP)? Even if you had extrasensory perception you would still need some clarification if that sentence contained acronyms only.

Rick Wicklin 0
Sample without replacement in SAS

Last week I showed three ways to sample with replacement in SAS. You can use the SAMPLE function in SAS/IML 12.1 to sample from a finite set or you can use the DATA step or PROC SURVEYSELECT to extract a random sample from a SAS data set. Sampling without replacement

Rick Wicklin 0
Sample with replacement in SAS

Randomly choosing a subset of elements is a fundamental operation in statistics and probability. Simple random sampling with replacement is used in bootstrap methods (where the technique is called resampling), permutation tests and simulation. Last week I showed how to use the SAMPLE function in SAS/IML software to sample with

Gail Baker 0
Top 5 SAS Talks webinars from 2013

It’s hard to believe it is almost February. The office is buzzing with all of the great things coming up in 2014 especially SAS Global Forum in just two months. But before we move too fast, I was thinking about 2013 and what really worked. The SAS Talks technical webinar