Chapter 5: Data Completeness
5.2 Difference between Availability and Completeness
Incomplete data are not necessarily missing data
Random or systematic missing values
Imputing random missing values
5.4 Customer Age Is Systematically Missing for Long-Term Customers
5.5 Completeness across Tables
Completeness in parent-child relationships
Completeness in time series data
5.6 Duplicate Records: Overcompleteness of Data
Get Data Quality for Analytics Using SAS now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.
Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.
Start your free trial Become a member now