Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40a years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming.The coverage of statistical programming in the second edition includesi Getting data into the SAS system, engineering new features, and formatting variablesi Writing readable and well-documented codei Structuring, implementing, and debugging programs that are well documentedi Creating solutions to novel problemsi Combining data sources, extracting parts of data sets, and reshaping data sets as needed for other analysesi Generating general solutions using macrosi Customizing outputi Producing insight-inspiring data visualizationsi Parsing, processing, and analyzing texti Programming solutions using matrices and connecting to Ri Processing texti Programming with matricesi Connecting SAS with Ri Covering topics that are part of both base and certification exams.