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Data management essentials using SAS and JMP / Julie Kezik, MS, Melissa Hill, MPH.

By: Kezik, Julie, 1982- [author.].
Contributor(s): Hill, Melissa E, 1982- [author.].
Material type: materialTypeLabelBookPublisher: New York : Cambridge University Press, 2016.Description: 1 online resource (xiii, 134 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781316335307 (ebook).Subject(s): Database management | Data structures (Computer science) | SAS (Computer file) | JMP (Computer file)DDC classification: 005.74 Online resources: Click here to access online Summary: SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.
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Title from publisher's bibliographic system (viewed on 06 Jun 2016).

SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.

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