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Brenna 0
11 new SAS Press titles for 2017

Whether your resolution is to get SAS certified or to become a more advanced SAS programmer, we’ve got you covered with these new titles and upcoming SAS Press books, many of which will be making their bookshelf debut at SAS® Global Forum 2017 in Orlando, FL! Want to be notified when a new book

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Rick Wicklin 0
Solve linear programming problems in SAS

In some applications, you need to optimize a linear objective function of many variables, subject to linear constraints. Solving this problem is called linear programming or linear optimization. This article shows two ways to solve linear programming problems in SAS: You can use the OPTMODEL procedure in SAS/OR software or

Data Management | Learn SAS | Programming Tips
Leonid Batkhan 0
Modifying variable attributes in all datasets of a SAS library

Using the DATASETS procedure, we can easily modify SAS variable attributes such as name, format, informat and label: proc datasets library=libref; modify table_name; format var_name date9.; informat var_name mmddyy10.; label var_name = 'New label'; rename var_name = var_new_name; quit; We cannot, however, modify fixed variable attributes such as variable type

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Chris Hemedinger 0
Zodiac signs of US Presidents

Rick Wicklin showed us how to visualize the ages of US Presidents at the time of their inaugurations. That's a pretty relevant thing to do, as the age of the incoming president can indirectly influence aspects of the president's term, thanks to health and generational factors. As part of his

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Sian Roberts 0
Looking after your digital self

Jared Cohen, President of Jigsaw, formerly Google Ideas, and Chief Advisor to Alphabet Executive Chairman (former Google CEO) Eric Schmidt, presented a very interesting keynote at Analytics Experience this month. In it he mentioned the idea of a ‘digital self’. He explained most people have not one but numerous digital

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Mark Chia 0
CIMB Data Science Challenge

Similar to hunting for Mewtwo (Pokémon), identifying and recruiting talented data scientists is just as elusive. CIMB decided that the best way would be to bring budding data scientist together for a challenge. This will provide candidates the opportunity to win cash prizes along with potential employment with CIMB’s Decision

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