Chapter 2 Using Perl Regular Expressions to Detect Data Errors
Chapter 3 Standardizing Data
Chapter 4 Data Cleaning Techniques for Numeric Data
Chapter 5 Automatic Outlier Detection for Numeric Data
Chapter 6 More Advanced Techniques for Finding Errors in NumericData
Chapter 7 Describing Issues Related to Missing and Special Values(Such as 999)
Chapter 8 Working with SAS Dates
Chapter 9 Looking for Duplicates and Checking Data with Multiple Observations per Subject
Chapter 10 Working with Multiple Files
Chapter 12 Correcting Errors
Chapter 13 Creating Integrity Constraints and Audit Trails
data cleaning using sas.rar
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