Original PDF Ebook – SAS Essentials3rd EditionMastering SAS for Data Analytics – 9781119901617

Original PDF Ebook – SAS Essentials3rd EditionMastering SAS for Data Analytics – 9781119901617

SAS ESSENTIALS_x000D_
Valuable step-by-step introduction to using SAS« statistical software as a foundational approach to data analysis and interpretation_x000D_
Presenting a straightforward introduction from the ground up, SAS« Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses._x000D_
This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform._x000D_
The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors._x000D_
Specific sample topics covered in SAS« Essentials include:_x000D_
Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS_x000D_
Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions_x000D_
Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management_x000D_
Using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, and analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports.