Cody's Data Cleaning Techniques Using SAS, Third Edition - Info and Reading Options
By Ron Cody
"Cody's Data Cleaning Techniques Using SAS, Third Edition" is published by SAS Institute in 2017-03-15, the book is classified in Computers genre, it has 210 pages and the language of the book is English.
“Cody's Data Cleaning Techniques Using SAS, Third Edition” Metadata:
- Title: ➤ Cody's Data Cleaning Techniques Using SAS, Third Edition
- Author: Ron Cody
- Language: English
- Number of Pages: 210
- Is Family Friendly: Yes - No Mature Content
- Publisher: SAS Institute
- Publish Date: 2017-03-15
- Genres: Computers
“Cody's Data Cleaning Techniques Using SAS, Third Edition” Subjects and Themes:
- Subjects: Electronic data processing - Data preparation - SAS (Computer file)
Edition Identifiers:
- Google Books ID: cHYitAEACAAJ
- The Open Library ID: OL43088925M - OL26138136W
- Online Computer Library Center (OCLC) ID: 978584967
- Library of Congress Control Number (LCCN): 2017449321
- ISBN-13: 9781629607962
- ISBN-10: 1629607967
- All ISBNs: 9781629607962 - 1629607967
AI-generated Review of “Cody's Data Cleaning Techniques Using SAS, Third Edition”:
Snippets and Summary:
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 ...
"Cody's Data Cleaning Techniques Using SAS, Third Edition" Description:
Google Books:
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
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