[Read] Cody's Data Cleaning Techniques Using SAS For Free
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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 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 valuesdevelop programming techniques related to dates and missing valuesdeal with highly skewed datadevelop techniques for correcting your data errorsuse integrity constraints and audit trails to prevent errors from being added to a clean data set
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 valuesdevelop programming techniques related to dates and missing valuesdeal with highly skewed datadevelop techniques for correcting your data errorsuse integrity constraints and audit trails to prevent errors from being added to a clean data set