Posts Tagged ‘ sas training ’

Boost your big data skills at Analytics 2015

September 16, 2015
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Among the tightly held cards, piles of chips and bright lights, there have been stories that have unfolded in Las Vegas that have been forever preserved in time, never seeing the light of day.  But what if what happened in Vegas…could be shared with excitement with your friends and family? 

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Random Sampling: What’s Efficient?

September 4, 2015
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Suppose you wish to select a random sample from a large SAS dataset.  No problem. The PROC SURVEYSELECT step below randomly selects a 2 percent sample: proc surveyselect data=large out=sample method=srs /* simple random sample */ n=1000000; /* sample size */ run; Do you have a SAS/STAT license?   If not,

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Analytics 2015 lands in Rome on Nov. 9-11

September 3, 2015
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The digital disruption phenomenon is redrawing the market map. New players, products and services are gaining competitive advantage, while traditional business and revenue models are being questioned. Gartner believes that by 2020, thanks to the Internet of Things, information will be used to reinvent, digitalize or eliminate 80% of business

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Serving up SAS training in cities near you

September 2, 2015
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The 2015 United States Tennis Open tournament is now underway, and like most tennis fans, I’ve got my eyes on women’s tennis great Serena Williams, as she attempts to make history by winning the tournament and achieving a calendar Grand Slam. What are her chances of reaching the milestone?  Most

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Reading Hierarchical Data – Part 3

August 31, 2015
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This post is the third and final in a series that illustrates three different solutions to "flattening" hierarchical data.  Don't forget to catch up with Part 1 and Part 2. Solution 2, from my previous post, created one observation per header record, with detail data in a wide format, like

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The one piece of advice everyone in analytics needs to hear

August 28, 2015
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I was recently asked why I would recommend my new class, Explaining Analytics to Decision Makers:  Insights to Action.  The answer goes back to some great advice, a lunch of eggplant parmesan and in another more twisted way, to what was ironically affectionately known as the “bomb plant.” Early in

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Reading hierarchical data – Part 2

August 27, 2015
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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

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Reading hierarchical data – Part 1

August 25, 2015
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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

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