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OCoLC |
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170525s2017 ncua ob 001 0 eng d |
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|c (3
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|a 978351449
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|a UAMI
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100 |
1 |
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|a Aanderud, Tricia,
|e author.
|
245 |
1 |
3 |
|a An introduction to SAS Visual Analytics :
|b how to explore numbers, design reports, and gain insight into your data /
|c Tricia Aanderud, Rob Collum, Ryan Kumpfmiller.
|
264 |
|
1 |
|a Cary, NC :
|b SAS Institute,
|c [2017]
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264 |
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|c ©2017
|
300 |
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|a 1 online resource :
|b illustrations
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|a text
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|a Online resource; title from title page (Safari, viewed May 25, 2017).
|
504 |
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|a Includes bibliographical references and index.
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505 |
0 |
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|a Accessing content -- Building your first report -- Building your first dashboard -- Using the data builder -- Visualizing your data -- The where of data -- Approachable analytics -- Loading data -- LASR administration -- Performance considerations -- Introducing the SAS Viya platform -- Wrangling your data -- Visualizing and exploring your data.
|
520 |
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|a Focusing on the version of SAS Visual Analytics on SAS 9.4, this thorough guide will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code ¿̐ư unless you want to. --
|c Edited summary from book.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
630 |
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|a SAS (Computer file)
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|a Statistics
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650 |
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|a Business report writing
|x Computer programs.
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650 |
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0 |
|a Computer graphics.
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650 |
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|a Information visualization.
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650 |
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2 |
|a Computer Graphics
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650 |
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6 |
|a Statistique
|x Méthodes graphiques.
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650 |
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6 |
|a Style commercial
|x Logiciels.
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650 |
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|a Infographie.
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650 |
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|a Visualisation de l'information.
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650 |
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650 |
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|a Information visualization.
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650 |
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|a Statistics
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|2 fast
|0 (OCoLC)fst01132117
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700 |
1 |
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|a Collum, Rob,
|e author.
|
700 |
1 |
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|a Kumpfmiller, Ryan,
|e author.
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|u https://learning.oreilly.com/library/view/~/9781635260427/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|6 520-00/(3/r
|a Focusing on the version of SAS Visual Analytics on SAS 9.4, this thorough guide will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code ئ unless you want to. --
|c Edited summary from book.
|
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