Sas Programming Combining And Modifying Data Sets


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SAS Programming: Combining and Modifying Data Sets


SAS Programming: Combining and Modifying Data Sets

Author: Pasquale De Marco

language: en

Publisher: Pasquale De Marco

Release Date: 2025-05-11


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**SAS Programming: Combining and Modifying Data Sets** is a comprehensive guide to SAS programming, covering everything from the basics of the language to advanced topics such as data mining and machine learning. It is written for beginners and experienced programmers alike, and it provides a wealth of examples and exercises to help readers learn the material. In the first part of the book, you will learn the basics of SAS programming, including how to create and manipulate data sets, perform data transformations, and create charts and graphs. You will also learn about the different SAS procedures that can be used to perform statistical analysis and machine learning. In the second part of the book, you will learn more advanced topics, such as data mining and machine learning. You will learn how to use SAS to build predictive models, identify patterns in data, and make predictions. You will also learn about the different SAS tools that can be used to manage and analyze data, such as SAS Enterprise Guide and SAS Cloud Analytics Services. By the end of this book, you will be able to use SAS to perform a wide range of data-related tasks, from simple data cleaning and transformation to complex statistical analysis and machine learning. You will also be familiar with the different SAS tools that can be used to manage and analyze data. Whether you are a beginner or an experienced programmer, **SAS Programming: Combining and Modifying Data Sets** will help you to learn SAS and use it to its full potential. **What you'll learn:** * The basics of SAS programming * How to create and manipulate data sets * How to perform data transformations * How to create charts and graphs * The different SAS procedures that can be used to perform statistical analysis and machine learning * How to use SAS to build predictive models * How to identify patterns in data * How to make predictions * The different SAS tools that can be used to manage and analyze data **Who this book is for:** * Beginners who want to learn SAS programming * Experienced programmers who want to learn more about SAS * Data analysts who want to use SAS to analyze data * Data scientists who want to use SAS to build predictive models If you like this book, write a review on google books!

Combining and Modifying SAS Data Sets


Combining and Modifying SAS Data Sets

Author: Michele M. Burlew

language: en

Publisher: SAS Press

Release Date: 2009


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Completely updated for SAS 9.2, this guide presents examples that show solutions to common programming tasks that involve combining, modifying, and reshaping data sets. Designed for SAS programmers at all levels.

Learning SAS by Example


Learning SAS by Example

Author: Ron Cody

language: en

Publisher: SAS Institute

Release Date: 2018-07-03


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Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.