Handbook of SAS Data Step Programming PDF ePub eBook

Books Info:

Handbook of SAS Data Step Programming free pdf

Preparing a dataset for analysis is perhaps the most important part of the entire data analysis process. Although there are many books on SAS programming, they often completely overlook, or have very brief coverage of, data manipulation and cleaning. This book, aimed at novice users, gives a broad introduction to data step programming in SAS. It focuses on understanding how the processes work, with detailed descriptions of the syntax. It includes lots of examples to help illustrate the methods and to help the reader gain a better understanding of how to prepare their data for analysis in SAS. The text also provides exercises and offers a supplementary website with code, data, solutions and PowerPoint slides.

About Arthur Li

Arthur Li is a biostatistician at the City of Hope National Medical Center in Los Angeles County, California. He is also a part-time statistical programming instructor at the University of Southern California, where he received an MS in biostatistics. He often gives presentations and seminars on DATA step programming and statistical analysis using SAS software at SAS conferences.

Details Book

Author : Arthur Li
Publisher : CRC Press
Data Published : 17 April 2013
ISBN : 1466552387
EAN : 9781466552388
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 200 pages
Age + : 15 years
Language : English
Rating :

Reviews Handbook of SAS Data Step Programming



17 Comments Add a comment




Related eBooks Download


  • Data Analysis with Mplus free pdfData Analysis with Mplus

    A practical introduction to using Mplus for the analysis of multivariate data. this volume provides step-by-step guidance. complete with real data examples. numerous screen shots. and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS..


  • Data Science from Scratch free pdfData Science from Scratch

    This is a first-principles-based. practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do it in Python Other applications such as NLP..


  • R Data Analysis without Programming free pdfR Data Analysis without Programming

    This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started..


  • SAS(R) Data Integration Studio 3.3 free pdfSAS(R) Data Integration Studio 3.3

    The ETL process consists of all the steps necessary to extract data from different locations. transform raw operational data into consistent. high-quality business data. and load the data into a data warehouse..


  • Python for Data Science For Dummies free pdfPython for Data Science For Dummies

    Unleash the power of Python for your data analysis projects with For Dummies. Python is the preferred programming language for data scientists and combines the best features of Matlab..


  • Handbook of SAS Data Step Programming free pdfHandbook of SAS Data Step Programming

    ePub Book Download.

    Preparing a dataset for analysis is perhaps the most important part of the entire data analysis process. Although there are many books on SAS programming, they often completely