Van Vugt S Red Hat RHCSA 8 Cert Guide EX200 2020

Textbook in PDF format

This world-wide only book about data quality with SPSS provides you with a real Swiss Army knife:
Learn about data quality
Recognize data problems
Understand consequences of data problems
Solve data problems = establish data quality
Communicate data quality
This book systematically presents the most important criteria for data quality with SPSS: Completeness, consistency, plausibility and how to deal with duplicates, missings and outliers. And in later chapters some more.
The book contains countless real-world examples, from typical dirty data desasters you find in the daily news to the interesting role of outliers in questioning original expectations regarding the ozone concentration over Antarctica