SAS/INSIGHT Software
Author | : SAS Institute |
Publisher | : |
Total Pages | : 0 |
Release | : 1994 |
Genre | : Mathematical statistics |
ISBN | : 9781555446369 |
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Author | : SAS Institute |
Publisher | : |
Total Pages | : 0 |
Release | : 1994 |
Genre | : Mathematical statistics |
ISBN | : 9781555446369 |
Author | : SAS Institute |
Publisher | : |
Total Pages | : |
Release | : 1992 |
Genre | : Mathematical statistics |
ISBN | : |
Author | : SAS Institute |
Publisher | : SAS Institute |
Total Pages | : 0 |
Release | : 2004 |
Genre | : Mathematical statistics |
ISBN | : 9781580256971 |
This title is your complete documentation source for SAS/INSIGHT software, including a usage section that explains how to accomplish particular tasks as well as a reference section that provides comprehensive descriptions of data, graphs, and analyses.
Author | : Sue Walsh |
Publisher | : |
Total Pages | : 246 |
Release | : 1998 |
Genre | : |
ISBN | : |
Author | : SAS Institute |
Publisher | : SAS Press |
Total Pages | : 0 |
Release | : 1999 |
Genre | : Mathematical statistics |
ISBN | : 9781580254908 |
Look no further for your complete documentation source for SAS/INSIGHT software, including a usage section that explains how to accomplish particular tasks as well as a reference section that provides comprehensive descriptions of data, graphs, and analyses. You will learn how to explore data through graphs and analyses; identify and brush observations in multiple linked windows; fit models with regression, analysis of variance, and the generalized linear model; examine regression models with generated diagnostic variables and residual plots; fit parametric and nonparametric curves and surfaces; examine relationships between sets of variables with canonical correlation analysis, maximum redundancy analysis, and canonical discriminant analysis; and reduce dimensionality with principal component analysis. This title is available for purchase as a hardcopy book or in the SAS OnlineDoc CD-ROM with PDF files. The HTML version of the SAS OnlineDoc CD-ROM is shipped free with Version 8.
Author | : Dom Latour |
Publisher | : |
Total Pages | : 237 |
Release | : 1992 |
Genre | : |
ISBN | : 9781555446949 |
Author | : Dom Latour |
Publisher | : |
Total Pages | : 238 |
Release | : 1995 |
Genre | : Mathematical statistics |
ISBN | : |
Author | : SAS Institute |
Publisher | : |
Total Pages | : 458 |
Release | : 1990 |
Genre | : Computers |
ISBN | : |
Author | : Tricia Aanderud |
Publisher | : SAS Institute |
Total Pages | : 294 |
Release | : 2017-03-21 |
Genre | : Computers |
ISBN | : 1635260442 |
Focusing on the version of SAS Visual Analytics on SAS 9.4, this thorough guide will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code ¿̐ư unless you want to. --
Author | : David Pope |
Publisher | : Packt Publishing Ltd |
Total Pages | : 258 |
Release | : 2017-11-23 |
Genre | : Computers |
ISBN | : 1788294319 |
Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.