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(Ebook) Cody s Data Cleaning Techniques Using SAS 2nd Edition by Ron Cody ISBN 1599946599 9781599946597

  • SKU: EBN-1223484
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4.6

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Authors:Ron Cody
Pages:273 pages.
Year:2008
Editon:2nd ed
Publisher:SAS Institute Inc
Language:english
File Size:1.81 MB
Format:pdf
ISBNS:9781599946597, 1599946599
Categories: Ebooks

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(Ebook) Cody s Data Cleaning Techniques Using SAS 2nd Edition by Ron Cody ISBN 1599946599 9781599946597

(Ebook) Cody s Data Cleaning Techniques Using SAS 2nd Edition by Ron Cody - Ebook PDF Instant Download/Delivery: 1599946599, 9781599946597
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ISBN 10: 1599946599
ISBN 13: 9781599946597
Author: Ron Cody

Thoroughly updated for SAS 9, this second edition addresses tasks that nearly every SAS programmer 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 for your own special data cleaning needs. Each topic is developed through specific examples, and every program and macro is explained in detail.You'll learn how to -find and correct errors in character and numeric values -develop programming techniques related to dates and missing values -use SQL approaches to data cleaning -develop techniques for correcting your data errors -use integrity constraints and audit trails to prevent errors from being added to a clean data set Novice and experienced SAS users will discover ways to detect and correct data errors while learning how to apply DATA step programming techniques and SAS procedures. SAS Products and Releases: Base SAS: 9.2, 9.1.3, 9.1.2, 9.1, 9.0 SAS/STAT: 9.2, 9.1.3, 9.1.2, 9.1, 9.0 Operating Systems: All

(Ebook) Cody s Data Cleaning Techniques Using SAS 2nd Table of contents:

  1. Checking Values of Character Variables

  2. Checking Values of Numeric Variables

  3. Checking for Missing Values

  4. Working with Dates

  5. Looking for Duplicates and “n” Observations per Subject

  6. Working with Multiple Files

  7. Double Entry and Verification (PROC COMPARE)

  8. Some PROC SQL Solutions to Data Cleaning

  9. Correcting Errors

  10. Creating Integrity Constraints and Audit Trails

  11. DataFlux and dfPower Studio

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Tags: Ron Cody, Cody Data, Cleaning Techniques, SAS

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