Dr. Christian FG Schendera is a Senior SAS Data Scientist and managing director at Method Consult in Switzerland. An avid SAS user for 30+ years, his experience ranges from scientific consulting, project management, and feature-engineering to statistical modeling using SAS. He views constructing knowledge as a two-way street: every step from data collection to applying methods will affect results. He has published several books about statistics, data quality, programming, and SAS. He is the author of the most comprehensive double-volume about PROC SQL worldwide. Further information and downloads can be found at www.method-consult.ch.
SAS SQL handles missing values differently than the ANSI standard for SQL. PROC SQL follows the SAS convention for handling missing values: numerical missing values are always interpreted as less or smaller than all nonmissing values. My first blog showed that missing values can be troublemakers in non-grouped descriptive statistics.
SQL (Structured Query Language) is the most widely used programming language for relational databases worldwide. No other programming language produces more hits for a web search than SQL and interest is growing rapidly. In June 2010, Google showed 135 million hits versus 586 million hits in June 2020. SQL is
