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Cody's Data Cleaning Techniques Using SAS, Third Edition

Ron Cody

$127.95   $102.48

Hardback

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English
SAS Institute
05 July 2019
Find errors and clean up data easily using SAS!

Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify which will make your job of data cleaning easier, faster, and more efficient.

Building on both the author's experience gained from teaching a data cleaning course for over 10 years, and advances in SAS, this third edition includes four new chapters, covering topics such as the use of Perl regular expressions for checking the format of character values (such as zip codes or email addresses) and how to standardize company names and addresses.

With this book, you will learn how to:

find and correct errors in character and numeric values

develop programming techniques related to dates and missing values

deal with highly skewed data

develop techniques for correcting your data errors

use integrity constraints and audit trails to prevent errors from being added to a clean data set
By:  
Imprint:   SAS Institute
Edition:   3rd ed.
Dimensions:   Height: 235mm,  Width: 191mm,  Spine: 14mm
Weight:   617g
ISBN:   9781642955026
ISBN 10:   1642955027
Pages:   234
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Hardback
Publisher's Status:   Active

Ron Cody, EdD, is a retired professor from the Rutgers Robert Wood Johnson Medical School who now works as a national instructor for SAS and as an author of books on SAS and statistics. A SAS user since 1977, Ron's extensive knowledge and innovative style have made him a popular presenter at local, regional, and national SAS conferences. He has authored or co-authored numerous books, as well as countless articles in medical and scientific journals.

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