<p>【书名】Cody's Data Cleaning Techniques Using SAS<br/>【作者】Ron Cody<br/>【出版社】SAS Publishing<br/>【版本】2nd edition <br/>【出版日期】May 13, 2008<br/>【文件格式】PDF (清晰电子书)<br/>【文件大小】1.8M （解压后）<br/>【页数】272 pages<br/>【ISBN出版号】1599946599<br/>【资料类别】SAS实用工具书<br/>【市面定价】$33<br/>【扫描版还是影印版】清晰电子书<br/>【是否缺页】否<br/>【关键词】invalid visit date, proc compare<br/>【内容简介】 本书介绍了如何利用SAS软件生成安全干净的数据表。 <br/>【Amazon链接】<br/>&nbsp;<a href="http://www.amazon.com/Codys-Cleaning-Techniques-Using-Second/dp/1599946599#sipbody">http://www.amazon.com/Codys-Cleaning-Techniques-Using-Second/dp/1599946599#sipbody</a></p><p>【目录】 <br/>&nbsp;Chapter 1 Checking Values of Character Variables<br/>&nbsp;Chapter 2 Checking Values of Numeric Variables<br/>&nbsp;Chapter 3 Checking for Missing Values<br/>&nbsp;Chapter 4 Working with Dates<br/>&nbsp;Chapter 5 Looking for Duplicates and "n" Observations per Subject<br/>&nbsp;Chapter 6 Wor Working with Multiple Files<br/>&nbsp;Chapter 7 Double Entry and Verification (PROC COMPARE)<br/>&nbsp;Chapter 8 Some PROC SQL Solutions to Data Cleaning<br/>&nbsp;Chapter 9 Correcting Errors<br/>&nbsp;Chapter 10 Creating Integrity Constraints and Audit Trails<br/>&nbsp;Chapter 11 DataFlux and dfPower Studio</p><p><br/>【整理书评】<br/>&nbsp;本书由业内权威Ron Cody所撰写，通俗易懂，深入浅出地讲解了利用SAS 9以上版本的新功能生成安全干净的数据表。每章由一连串的例子讨论一个主题。相关主题有：如何发现和修改字符串/数值变量的值；与日期和缺失值有关的编程技巧；使用SQL清理数据等。</p><p>&nbsp;</p><p> <br/></p><p></p>

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