分享一本数据处理必备好书: Data Cleaning Techniques Using SAS 2nd Ed.(含书中Data和codes)

当用SAS处理统计数据时，得出的结果是否正确，取决于统计处理前对数据的清理，但一般人都忽视这一重要步骤，其实掌握数据清理技术的重要性，不亚于掌握统计处理技术。此书的内容如下：
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
7 Correcting Errors
8 Creating Integrity Constraints and Audit Trails
9 DataFlux and dfPower Studio
Appendix Listing of Raw Data Files and SAS Programs
Index