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Cody"s data cleaning techniques using SAS software by Ronald P. Cody

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Published by SAS Institute Inc. in Cary, NC .
Written in English

Subjects:

  • SAS (Computer file),
  • Electronic data processing -- Data preparation.

Book details:

Edition Notes

Other titlesData cleaning techniques using SAS software
StatementRon Cody.
ContributionsSAS Institute.
Classifications
LC ClassificationsQA76.9.D345 C63 1999
The Physical Object
Paginationxx, 226 p. :
Number of Pages226
ID Numbers
Open LibraryOL3970339M
ISBN 101580256007
LC Control Number2001277390
OCLC/WorldCa44192651

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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 /5(4). The key to ensuring accurate data is having clean data. This book develops and describes data cleaning programs and macros. You can use many of the programs and macros that - Selection from Cody’s Data Cleaning Techniques Using SAS® Software [Book]. Cody's Data Cleaning Techniques Using SAS Software. The key to ensuring accurate data is having clean data. This book develops and describes data cleaning programs and macros. You can use many of the programs and macros that are provided as is, or you can modify them for your own special data cleaning tasks/5(4). " Cody's Data Cleaning Techniques Using SAS, Third Edition focuses on not only knowing your data but also on addressing real data issues that impact results and conclusions. Ron's statistical programming techniques help identify the root cause of data issues and outliers.

v. Chapter 6: More Advanced Techniques for Finding Errors in Numeric Data . 87 Introduction 74 Cody’s Data Cleaning Techniques Using SAS, Third Edition Program Detecting Outliers Based on the Standard Deviation *Use PROC MEANS to Output means and standard deviations to a data set; proc means data=ts noprint; var HR; output out=Mean_Std(drop=_type_ _freq_) mean= std= / autoname; run;. Cody's Data Cleaning Techniques Using SAS ®, Third Edition By Ron Cody Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, make . We would like to show you a description here but the site won’t allow more.

Utterly updated for SAS 9, Cody's Data Cleaning Techniques Using SAS, Second Edition, addresses duties that nearly every SAS programmer should do – that is, ensure that data errors are located and corrected. Cody’s Data Cleaning Techniques Using SAS2® Software Description of the Raw Data File ˚ˆ ˘) ˘˘ ˛ ˇˆ ˜! "# $ ˘ /˚ ˚˘˘ˆ ˘,ˆ ’˘ ˘/ˇˆ ˛, ˘File Size: KB. Introduction The techniques for checking for invalid numeric data are quite different from the techniques that you saw in the last chapter for checking character data. Although there are usually - Selection from Cody’s Data Cleaning Techniques Using SAS® Software [Book].   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. 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.5/5(2).