S A S
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Sas Visual Analytics For Sas Viya
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Author : SAS
language : en
Publisher: SAS Institute
Release Date : 2020-12-07
Sas Visual Analytics For Sas Viya written by SAS and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Computers categories.
Discover your data and create reports in an elegant and intuitive web-based interface! SAS Visual Analytics for SAS Viya is a practical guide designed to get you started investigating your data and creating reports with SAS Visual Analytics, a web-based tool that enables you to explore huge volumes of data to identify patterns, trends, and opportunities. Learn how to report, share, and collaborate on insights from data with no SAS programming skills necessary – this book is accessible to all, including decision makers, business analysts, report creators, and citizen data scientists. SAS Visual Analytics for SAS Viya first introduces the basics needed to prepare and explore your data, make discoveries, and create a report in SAS Visual Analytics. Then, the second section describes more advanced topics, such as using automated explanation and creating advanced interactive reports with parameters. The book covers: Adding and manipulating data items within SAS Visual Analytics Analyzing data with SAS Visual Analytics Designing and sharing reports using SAS Visual Analytics Demonstrations and practices are included for you to follow to gain hands-on experience with SAS Visual Analytics, and the data sets used in the book are also provided to download.
Sas Programming For Enterprise Guide Users Second Edition
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Author : Neil Constable
language : en
Publisher: SAS Institute
Release Date : 2010-09-17
Sas Programming For Enterprise Guide Users Second Edition written by Neil Constable and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-17 with Computers categories.
New and updated for SAS Enterprise Guide 4.2! In this pragmatic, example-driven book, author Neil Constable demonstrates how you can use SAS code to enhance the capabilities of SAS Enterprise Guide. Designed to help you gain extra value from the products you already have, SAS Programming for Enterprise Guide Users contains tips and techniques that show you a variety of features that cannot be accessed directly through the task interfaces. In all cases, techniques are shown with examples that you can try and test, plus additional exercises are included to give you more practice. The end result is more efficient and resilient use of SAS Enterprise Guide in a wider variety of business areas. Included is a discussion of the following subject areas: the Output Delivery System, advanced formatting, macro variables and macros, advanced reporting using PROC REPORT, highlighting in reports, hyperlinking between reports and graphs, data manipulation using SQL, data manipulation using the DATA step, extended graphics. By adding small amounts of code in key areas, SAS Enterprise Guide users can get more out of the product than the tasks reveal. Users should be familiar with the SAS Enterprise Guide user interface and tasks. No programming experience is necessary. This book is part of the SAS Press program.
Sas Data Analytic Development
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Author : Troy Martin Hughes
language : en
Publisher: John Wiley & Sons
Release Date : 2016-08-24
Sas Data Analytic Development written by Troy Martin Hughes and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-24 with Computers categories.
Design quality SAS software and evaluate SAS software quality SAS Data Analytic Development is the developer’s compendium for writing better-performing software and the manager’s guide to building comprehensive software performance requirements. The text introduces and parallels the International Organization for Standardization (ISO) software product quality model, demonstrating 15 performance requirements that represent dimensions of software quality, including: reliability, recoverability, robustness, execution efficiency (i.e., speed), efficiency, scalability, portability, security, automation, maintainability, modularity, readability, testability, stability, and reusability. The text is intended to be read cover-to-cover or used as a reference tool to instruct, inspire, deliver, and evaluate software quality. A common fault in many software development environments is a focus on functional requirements—the what and how—to the detriment of performance requirements, which specify instead how well software should function (assessed through software execution) or how easily software should be maintained (assessed through code inspection). Without the definition and communication of performance requirements, developers risk either building software that lacks intended quality or wasting time delivering software that exceeds performance objectives—thus, either underperforming or gold-plating, both of which are undesirable. Managers, customers, and other decision makers should also understand the dimensions of software quality both to define performance requirements at project outset as well as to evaluate whether those objectives were met at software completion. As data analytic software, SAS transforms data into information and ultimately knowledge and data-driven decisions. Not surprisingly, data quality is a central focus and theme of SAS literature; however, code quality is far less commonly described and too often references only the speed or efficiency with which software should execute, omitting other critical dimensions of software quality. SAS® software project definitions and technical requirements often fall victim to this paradox, in which rigorous quality requirements exist for data and data products yet not for the software that undergirds them. By demonstrating the cost and benefits of software quality inclusion and the risk of software quality exclusion, stakeholders learn to value, prioritize, implement, and evaluate dimensions of software quality within risk management and project management frameworks of the software development life cycle (SDLC). Thus, SAS Data Analytic Development recalibrates business value, placing code quality on par with data quality, and performance requirements on par with functional requirements.
Sas Language And Procedures
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Author : SAS Institute
language : en
Publisher:
Release Date : 1990
Sas Language And Procedures written by SAS Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Getting started using the SAS system. Introduction to programming using base SAS software. Creating SAS data sets. Modifying data. Using SAS procedures. Rearranging data using the sort procedure. Creating reports using the print procedure. Charting data using the chart procedure. Generating frequency and crosstabulation tables using the freq procedure. Generating summary statistics using the means procedure. Identifying errors. Using the SAS display manager system.
Time Series Analysis Using Sas Enterprise Guide
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Author : Timina Liu
language : en
Publisher: Springer Nature
Release Date : 2020-02-19
Time Series Analysis Using Sas Enterprise Guide written by Timina Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-19 with Computers categories.
This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.
Sas R 9 1 Language Reference
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Author : SAS Institute
language : en
Publisher: Sas Inst
Release Date : 2004
Sas R 9 1 Language Reference written by SAS Institute and has been published by Sas Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Base SAS software enables you to bring all your data into a single system. This title comprehensively documents essential concepts for SAS features, the DATA step, and SAS files. The following topics are included: general Base SAS concepts such as SAS processing, SAS names, missing values, expressions, time and date values, WHERE processing, SAS output, and error processing and debugging; Base SAS DATA step concepts such as DATA step, BY-group, and array processing, how to read raw data, how to combine and modify SAS data sets, and how to use DATA step component objects; SAS windowing environment concepts such as main windows and how to manage data in the windowing environment; Base SAS file concepts such as SAS data libraries, SAS data sets, and SAS catalogs, how to create and use stored compiled SAS programs, indexes, integrity constraints, generation data sets, and audit trails, version compatibility issues, file protection, SAS I/O engines, SAS file management, and external files; and industry protocols used in SAS, such as SMTP E-mail and UUID. This reference is a companion volume to the SAS Language Reference: Dictionary, which provides complete reference information about fundamental SAS language element features and the DATA step debugger. This title is also available online. Supports releases 9.1 and higher of SAS software.
Sas Viya
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Author : Kevin D. Smith
language : en
Publisher: SAS Institute
Release Date : 2018-02-08
Sas Viya written by Kevin D. Smith and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-08 with Computers categories.
Learn how to access analytics from SAS Cloud Analytic Services (CAS) using Python and the SAS Viya platform. SAS Viya : The Python Perspective is an introduction to using the Python client on the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS. This book focuses on the perspective of SAS Viya from Python. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. The Python client is used to drive the CAS component directly using objects and constructs that are familiar to Python programmers. Some knowledge of Python would be helpful before using this book; however, there is an appendix that covers the features of Python that are used in the CAS Python client. Knowledge of CAS is not required to use this book. However, you will need to have a CAS server set up and running to execute the examples in this book. With this book, you will learn how to: Install the required components for accessing CAS from Python Connect to CAS, load data, and run simple analyses Work with CAS using APIs familiar to Python users Grasp general CAS workflows and advanced features of the CAS Python client SAS Viya : The Python Perspective covers topics that will be useful to beginners as well as experienced CAS users. It includes examples from creating connections to CAS all the way to simple statistics and machine learning, but it is also useful as a desktop reference.
Sas Statistics By Example
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Author : Ron Cody
language : en
Publisher: SAS Institute
Release Date : 2011-08-22
Sas Statistics By Example written by Ron Cody and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-22 with Computers categories.
In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books. For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured include descriptive statistics, one- and two-sample tests, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and sample size. This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses. This book is part of the SAS Press program.
The Little Sas Book
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Author : Lora D. Delwiche
language : en
Publisher: SAS Institute
Release Date : 2019-10-11
The Little Sas Book written by Lora D. Delwiche and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Computers categories.
A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so that readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained, two-page layout complete with examples and graphics. Nearly every section has been revised to ensure that the sixth edition is fully up-to-date. This edition is also interface-independent, written for all SAS programmers whether they use SAS Studio, SAS Enterprise Guide, or the SAS windowing environment. New sections have been added covering PROC SQL, iterative DO loops, DO WHILE and DO UNTIL statements, %DO statements, using variable names with special characters, the ODS EXCEL destination, and the XLSX LIBNAME engine. This title belongs on every SAS programmer's bookshelf. It's a resource not just to get you started, but one you will return to as you continue to improve your programming skills. Learn more about the updates to The Little SAS Book, Sixth Edition here. Reviews for The Little SAS Book, Sixth Edition can be read here.
Sas Certified Specialist Prep Guide
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Author : SAS Institute
language : en
Publisher: SAS Institute
Release Date : 2019-02-11
Sas Certified Specialist Prep Guide written by SAS Institute and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-11 with Computers categories.
The SAS® Certified Specialist Prep Guide: Base Programming Using SAS® 9.4 prepares you to take the new SAS 9.4 Base Programming -- Performance-Based Exam. This is the official guide by the SAS Global Certification Program. This prep guide is for both new and experienced SAS users, and it covers all the objectives that are tested on the exam. New in this edition is a workbook whose sample scenarios require you to write code to solve problems and answer questions. Answers for the chapter quizzes and solutions for the sample scenarios in the workbook are included. You will also find links to exam objectives, practice exams, and other resources such as the Base SAS® glossary and a list of practice data sets. Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting both data syntax and programming logic errors. All exam topics are covered in these chapters: Setting Up Practice Data Basic Concepts Accessing Your Data Creating SAS Data Sets Identifying and Correcting SAS Language Errors Creating Reports Understanding DATA Step Processing BY-Group Processing Creating and Managing Variables Combining SAS Data Sets Processing Data with DO Loops SAS Formats and Informats SAS Date, Time, and Datetime Values Using Functions to Manipulate Data Producing Descriptive Statistics Creating Output Practice Programming Scenarios (Workbook)