SAS for R Users: A Book for Data Scientists

ISBN-13: 9781119256410 / Angielski / Miękka / 2019 / 208 str.

Ajay Ohri

Opis

This book will enable students and practitioners to easily switch from R to SAS and vice versa. R has better statistical and graphical tools, while SAS has faster data handling, is easier to learn and is the leading corporate software in analytics. This book builds a cross-functional framework for students who already know R but may need to work on SAS language in corporate environments. Using a simple how-to-do-it in a step-by-step way approach, the book presents an analytics workflow similar to those used by the everyday data scientist. The book is designed to be compatible with the latest R packages as well as SAS University Edition. It also includes advanced section for the reader who wishes to get a greater understanding of more advanced methods. The book will be useful to students, researchers, and practitioners globally as well as anyone looking to get a job in data science today.

Spis treści

PrefaceScopeChapter 1 About SAS and RChapter 2 Data Input, Import and PrintChapter 3 Data Inspection and CleaningChapter 4 Handling Dates, Strings, NumbersChapter 5 Numerical Summary and Group by AnalysisChapter 6 Frequency Distributions and Cross TabulationsChapter 7 Using SQL with SAS and RChapter 8 Functions, Loops, Arrays, MacrosChapter 9 Data VisualizationChapter 10 Data OutputChapter 11 Statistics for Data ScientistsCitations

O autorze

AJAY OHRI is the founder of analytics startup Decisionstats.com. His research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces to cloud computing, investigating climate change, and knowledge flows. He currently advises startups in analytics off shoring, analytics services, and analytics. He is the author of Python for R Users: A Data Science Approach (Wiley), R for Business Analytics, and R for Cloud Computing.