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E-raamat: Introduction to SAS Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data

  • Formaat: 294 pages
  • Ilmumisaeg: 21-Mar-2017
  • Kirjastus: SAS Institute
  • Keel: eng
  • ISBN-13: 9781635260427
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  • Formaat: 294 pages
  • Ilmumisaeg: 21-Mar-2017
  • Kirjastus: SAS Institute
  • Keel: eng
  • ISBN-13: 9781635260427

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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
About This Book ix
About These Authors xiii
Acknowledgments xv
Introduction xvii
Part One: Getting Started 1(86)
Chapter One Accessing Content
3(12)
Methods of accessing content
3(1)
Accessing content with a web browser
3(1)
Accessing content through the public portal
3(1)
Accessing content with the mobile bi app
4(1)
Understanding roles
4(7)
Accessing SAS Visual Analytics
5(1)
Transformation of the homepage
5(2)
Understanding SAS home
7(1)
Opening a report
7(1)
Creating a shortcut
8(1)
Creating a collection or content tile
9(2)
Using the report viewer
11(3)
Navigating a report
12(2)
References
14(1)
Chapter Two Building Your First Report
15(22)
Accessing the designer
15(1)
Introducing the designer layout
16(5)
Building your first report
21(14)
Adding a data source
22(3)
Creating new data items
25(2)
Populating your objects
27(1)
Improving the data object appearance
28(1)
Adding data to other objects
29(2)
Working with data objects
31(2)
Adding object interactions
33(2)
Saving the report
35(1)
Reviewing the report
36(1)
References
36(1)
Chapter Three Building Your First Dashboard
37(34)
Dashboard building process
38(5)
Understanding your customer
38(1)
Establishing objectives
38(4)
Tips for more useable dashboards
42(1)
Building the dashboard
43(23)
Adding the data objects
44(8)
Creating the layout
52(4)
Working with data objects
56(9)
Linking to another section
65(1)
Other dashboard enhancements
66(3)
Adding text boxes
67(1)
Adding artwork
67(1)
Embedding a stored process
68(1)
Summary
69(1)
References
70(1)
Chapter Four Using The Data Builder
71(16)
Using the Data Builder
71(2)
Creating a data query
72(1)
Opening the Data Builder
73(13)
Filtering the data
80(2)
Create a summary data query
82(2)
Updating the code
84(1)
Scheduling a query
84(2)
References
86(1)
Part Two: Customizing Your Data Visualizations 87(92)
Chapter Five Visualizing Your Data
89(42)
Elements of an effective data visualization
89(2)
Your message: know your point
89(1)
Your audience: know who is listening
90(1)
Your technique: follow the KISS principle
90(1)
Line charts
91(7)
Interpreting the results
91(1)
Line charts: guidelines
91(4)
Line charts: tips and tricks
95(3)
Bar charts
98(5)
Interpreting the results
99(1)
Bar charts: guidelines
99(2)
Bar charts: tips and tricks
101(2)
Pie and donut charts
103(6)
Interpreting the results
103(1)
Pie and donut charts: guidelines
104(2)
Pie and donut charts: tips and tricks
106(3)
Treemaps
109(4)
Interpreting the results
109(1)
Treemaps: guidelines
110(1)
Treemaps: tips and tricks
111(2)
Waterfall charts
113(5)
Interpreting the results
113(1)
Waterfall charts: guidelines for use
114(1)
Waterfall charts: tips and tricks
115(3)
Gauges
118(4)
Interpreting results
118(1)
Gauges: Guidelines
119(1)
Gauges: tips and tricks
120(1)
Tip 1: Use display rules
120(1)
Tip 2: Add a shared rule
121(1)
Tables and cross tabs
122(5)
Interpreting the results
122(1)
Tables and crosstabs: guidelines for use
123(1)
Tables and crosstabs: tips and tricks
124(3)
Bubble plots
127(3)
Interpreting the results
127(1)
Bubble plots: guidelines
128(1)
Bubble plots: tips and tricks
129(1)
References
130(1)
Chapter Six The Where Of Data
131(16)
Using geospatial data effectively
131(2)
When location is not part of the data story
131(1)
When location is the data story
132(1)
Preparing data for geospatial visualizations
133(4)
Creating a predefined geographic data item
133(1)
Creating a predefined geographic data item
134(1)
Creating a custom geospatial data item
135(1)
Creating a custom geographic data item
136(1)
Displaying geospatial objects
137(7)
Get to the point with geo coordinate data objects
138(2)
Compare area with geo regional data objects
140(3)
Show overall trends with bubble plots data objects
143(1)
Expanding location intelligence
144(1)
Understanding details about mapping technologies
145(1)
References
146(1)
Chapter Seven Approachable Analytics
147(32)
About the Explorer
147(3)
Automatic chart feature
149(1)
Box plots
150(4)
Interpreting the results
150(2)
Adding more data items
152(2)
When to use box plots
154(1)
Histograms
154(2)
Changing objects in a visualization
154(1)
Histogram options
155(1)
Using a correlation matrix
156(3)
Calculating a correlation
156(1)
Understanding the matrix
157(1)
Interpreting a correlation value
158(1)
Forecasting
159(4)
Working with the forecasting option
159(2)
Using the scenario analysis
161(2)
Word clouds
163(4)
Loading social media data
163(1)
Setting up the word cloud
164(3)
Scatter plot
167(4)
Data analysis
168(2)
Adding categories
170(1)
Heat map
171(6)
Data analysis
171(2)
Using a category
173(1)
Other tips when using the Explorer
173(1)
Include and exclude
173(2)
Moving visualizations to the Designer
175(2)
References
177(2)
Part Three: Administration And Data Loading 179(44)
Chapter Eight Loading Data
181(12)
In-memory is different
181(1)
It's about speed
181(2)
Understanding the non-distributed deployment
182(1)
Understanding the distributed deployment
182(1)
Loading data to LASR from HDFS
183(3)
Enabling support for SASHDAT files
184(1)
The exception to the rule
185(1)
SASHDAT does not require SAS/ACCESS
185(1)
Loading data to LASR from Base SAS
186(2)
Loading data to LASR with SAS In-Database technology
188(1)
Loading data to LASR from a different LASR Analytic Server
189(1)
Loading data into LASR automatically
190(2)
SAS Autoload to LASR facility
190(1)
LASR Reload-on-Start feature
191(1)
References
192(1)
Chapter Nine LASR Administration
193(20)
Administration overview
193(1)
Administration tools
193(5)
SAS Management Console
194(1)
SAS Visual Analytics Administrator
194(1)
SAS Environment Manager
195(1)
SAS Program Code
196(1)
Other tools
197(1)
Interesting LASR Administration Tasks
198(14)
The role of SAS metadata
198(1)
Defining new LASR Analytic Servers
198(4)
Defining new LASR libraries
202(1)
Managing LASR Analytic Servers with code
202(3)
Working with the Autoloader Facility
205(1)
Monitoring resources used by LASR
206(6)
References
212(1)
Chapter Ten Performance Considerations
213(10)
LASR performance
213(5)
Non-Distributed LASR (SMP)
214(1)
Distributed LASR (MPP)
215(1)
Load balancing by data distribution
215(1)
High-volume access to smaller tables
216(2)
Fast loading of data to distributed LASR Analytic Server
218(3)
LASR and a remote data provider (asymmetric)
219(1)
LASR symmetrically co-located with HDFS
220(1)
LASR co-located with dedicated HDFS and loading data from remote HDFS
220(1)
References
221(2)
Part Four: SAS Visual Analytics 8.1 223(42)
Chapter Eleven Introducing The SAS Viya Platform
225(8)
Overview of the SAS Viya platform
225(1)
Understanding the CAS In-Memory Analytics Server
226(2)
Introducing massively parallel analytics
226(1)
Adding persistence
227(1)
Providing more flexibility
227(1)
SAS Viya and SAS 9.4 together
228(4)
Managing the SAS Viya environment
228(1)
Managing users and groups
229(1)
Managing data
230(1)
Managing content
231(1)
References
232(1)
Chapter Twelve Wrangling Your Data
233(16)
Introducing a modern user interface
233(8)
New features
241(7)
References
248(1)
Chapter Thirteen Visualizing And Exploring Your Data
249(16)
Introducing the new layout
249(2)
Starting a new report
251(5)
All-in-one application
256(5)
Additional features
261(2)
References
263(2)
Index 265