Book description
When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction to SAS Visual Analytics 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 – unless you want to! You will be able to use SAS Visual Analytics to access, prepare, and present your data to anyone anywhere in the world.SAS Visual Analytics automatically highlights key relationships, outliers, clusters, trends and more. These abilities will guide you to critical insights that inspire action from your data. With this book, you will become proficient using SAS Visual Analytics to present data and results in customizable, robust visualizations, as well as guided analyses through auto-charting. With interactive dashboards, charts, and reports, you will create visualizations which convey clear and actionable insights for any size and type of data.
This book largely focuses on the version of SAS Visual Analytics on SAS 9.4, although it is available on both 9.4 and SAS Viya platforms. Each version is considered the latest release, with subsequent releases planned to continue on each platform; hence, the Viya version works similarly to the 9.4 version and will look familiar. This book covers new features of each and important differences between the two.
With this book, you will learn how to:
- Build your first report using the SAS Visual Analytics Designer
- Prepare a dashboard and determine the best layout
- Effectively use geo-spatial objects to add location analytics to reports
- Understand and use the elements of data visualizations
- Prepare and load your data with the SAS Visual Analytics Data Builder
- Analyze data with a variety of options, including forecasting, word clouds, heat maps, correlation matrix, and more
- Understand administration activities to keep SAS Visual Analytics humming along
- Optimize your environment for considerations such as scalability, availability, and efficiency between components of your SAS software deployment and data providers
Table of contents
- about this book
- about these authors
- acknowledgements
- introduction
- part one: getting started
- chapter one: accessing content
- Methods of accessing content
- Understanding roles
- Using the report viewer
- References
- chapter two: building your first report
- Accessing the designer
- Introducing the designer layout
- Building your first report
- Saving the report
- Reviewing the report
- References
- chapter three: building your first dashboard
- Dashboard building process
- Building the dashboard
- Other dashboard enhancements
- Summary
- References
- chapter four: using the data builder
- Using the Data Builder
- Opening the Data Builder
- References
- part two: customizing your data visualizations
- chapter five: visualizing your data
- Elements of an effective data visualization
- Line charts
- Bar charts
- Pie and donut charts
- Treemaps
- Waterfall charts
- Gauges
- Tables and cross tabs
- Bubble plots
- References
- chapter six: the where of data
- Using geospatial data effectively
- Preparing data for geospatial visualizations
- Displaying geospatial objects
- Expanding location intelligence
- Understanding details about mapping technologies
- References
- chapter seven: approachable analytics
- About the Explorer
- Box plots
- Histograms
- Using a correlation matrix
- Forecasting
- Word clouds
- Scatter plot
- Heat map
- References
- part three: administration and data loading
- chapter eight: loading data
- In-memory is different
- It’s about speed
- Loading data to LASR from HDFS
- Loading data to LASR from Base SAS
- Loading data to LASR with SAS In-Database technology
- Loading data to LASR from a different LASR Analytic Server
- Loading data into LASR automatically
- References
- chapter nine: LASR administration
- Administration overview
- Administration tools
- Interesting LASR Administration Tasks
- References
- chapter ten: performance considerations
- LASR performance
- Fast loading of data to distributed LASR Analytic Server
- References
- part four: SAS Visual Analytics 8.1
- chapter eleven: introducing the SAS Viya platform
- Overview of the SAS Viya platform
- Understanding the CAS In-Memory Analytics Server
- SAS Viya and SAS 9.4 together
- Managing the SAS Viya environment
- References
- chapter twelve: wrangling your data
- Introducing a modern user interface
- References
- chapter thirteen: visualizing and exploring your data
- Introducing the new layout
- Starting a new report
- All-in-one application
- Additional features
- References
- index
Product information
- Title: An Introduction to SAS Visual Analytics
- Author(s):
- Release date: March 2017
- Publisher(s): SAS Institute
- ISBN: 9781635260427
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