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.Read more
- A unique SAS textbook focused on data management rather than statistics, providing a clear and concise curriculum for basic programming needs
- Offers a training program for support staff and students with little or no SAS experience
- An ideal desk reference for infrequent users
Reviews & endorsements
'The authors have created a very readable and gentle introduction to SAS programming and its working environment - Enterprise Guide. The text provides a valuable overview of 'navigating' in a SAS windowing environment and before moving quickly into core procedures. … a very valuable introduction to basic SAS programming for the beginning data analyst.' Glenn Gamst, University of la Verne, CaliforniaSee more reviews
'The authors of Data Management Essentials Using SAS and JMP have written a thoroughly user-friendly beginning guide to SAS programming for data exploration and management, and for designing well-constructed and informative reports. I honestly know of no better book to use for self-instruction on, or for teaching essential SAS programming skills for report design than this very well written and produced book.' Joseph M. Hilbe, Arizona State University
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- Date Published: August 2016
- format: Paperback
- isbn: 9781107535039
- length: 150 pages
- dimensions: 237 x 179 x 11 mm
- weight: 0.27kg
- contains: 74 b/w illus. 4 tables 31 exercises
- availability: In stock
Table of Contents
2. Preliminary data exploration
3. Storing and manipulating data
4. Advanced concepts in dataset and variable manipulation
5. Introduction to common procedures
6. Procedures for simple statistics
7. More about common procedures
8. Data visualization
9. JMP as an alternative.
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