Book Image

Big Data Analytics with SAS

Book Image

Big Data Analytics with SAS

Overview of this book

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.
Table of Contents (17 chapters)

Reporting


Reporting is just one way to deploy the results of analytics. Other ways involve publishing scoring models into operational systems or enabling other systems to make API calls to make use of the analytics. This chapter will discuss the use of some BASE procedures used for reporting, and the use of the ODS, which is a part of BASE that produces output in a variety of different formats.

Note

SAS Studio provides default tasks for making basic graphs and will generate the code necessary to produce these graphs. By default, the output in SAS Studio will produce results in HTML5, PDF, and RTF. A user can change the default styles or output results in the preferences window for SAS Studio.

In the upper-right-hand corner of SAS Studio, left click the More applications options icon and select Preferences as follows:

Figure 5.1: SAS Studio Preferences

Then, select Results to see the different options and styles associated with the three default outputs, HTML5, PDF, and RTF:

Figure 5.2: SAS...