Chapter 1 Working with Character Data
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