chapter two: building your first report... 15

Transcription

1 An Introduction to SAS Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data. Full book available for purchase here. contents about this book... ix about these authors... xiii acknowledgements... xv introduction... xvii part one: getting started... 1 chapter one: accessing content... 3 Methods of accessing content... 3 Accessing content with a web browser... 3 Accessing content through the public portal... 3 Accessing content with the mobile bi app... 4 Understanding roles... 4 Accessing SAS Visual Analytics... 5 Transformation of the homepage... 5 Understanding SAS home... 7 Opening a report... 7 Creating a shortcut... 8 Creating a collection or content tile... 9 Using the report viewer Navigating a report References chapter two: building your first report Accessing the designer Introducing the designer layout Building your first report Adding a data source Creating new data items Populating your objects Improving the data object appearance Adding data to other objects Working with data objects Adding object interactions... 33

2 iv contents Saving the report Reviewing the report References chapter three: building your first dashboard Dashboard building process Understanding your customer Establishing objectives Tips for more useable dashboards Building the dashboard Adding the data objects Creating the layout Working with data objects Linking to another section Other dashboard enhancements Adding text boxes Adding artwork Embedding a stored process Summary References chapter four: using the data builder Using the Data Builder Creating a data query Opening the Data Builder Filtering the data Create a summary data query Updating the code Scheduling a query References part two: customizing your data visualizations chapter five: visualizing your data Elements of an effective data visualization Your message: know your point Your audience: know who is listening Your technique: follow the KISS principle Line charts Interpreting the results Line charts: guidelines Line charts: tips and tricks Bar charts Interpreting the results Bar charts: guidelines Bar charts: tips and tricks Pie and donut charts Interpreting the results

3 contents v Pie and donut charts: guidelines Pie and donut charts: tips and tricks Treemaps Interpreting the results Treemaps: guidelines Treemaps: tips and tricks Waterfall charts Interpreting the results Waterfall charts: guidelines for use Waterfall charts: tips and tricks Gauges Interpreting results Gauges: Guidelines Gauges: tips and tricks Tip 1: Use display rules Tip 2: Add a shared rule Tables and cross tabs Interpreting the results Tables and crosstabs: guidelines for use Tables and crosstabs: tips and tricks Bubble plots Interpreting the results Bubble plots: guidelines Bubble plots: tips and tricks References chapter six: the where of data Using geospatial data effectively When location is not part of the data story When location is the data story Preparing data for geospatial visualizations Creating a predefined geographic data item Creating a predefined geographic data item Creating a custom geospatial data item Creating a custom geographic data item Displaying geospatial objects Get to the point with geo coordinate data objects Compare area with geo regional data objects Show overall trends with bubble plots data objects Expanding location intelligence Understanding details about mapping technologies References chapter seven: approachable analytics About the Explorer Automatic chart feature

4 vi contents Box plots Interpreting the results Adding more data items When to use box plots Histograms Changing objects in a visualization Histogram options Using a correlation matrix Calculating a correlation Understanding the matrix Interpreting a correlation value Forecasting Working with the forecasting option Using the scenario analysis Word clouds Loading social media data Setting up the word cloud Scatter plot Data analysis Adding categories Heat map Data analysis Using a category Other tips when using the Explorer Include and exclude Moving visualizations to the Designer References part three: administration and data loading chapter eight: loading data In-memory is different It s about speed Understanding the non-distributed deployment Understanding the distributed deployment Loading data to LASR from HDFS Enabling support for SASHDAT files The exception to the rule SASHDAT does not require SAS/ACCESS 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 SAS Autoload to LASR facility LASR Reload-on-Start feature

5 contents vii References chapter nine: LASR administration Administration overview Administration tools SAS Management Console SAS Visual Analytics Administrator SAS Environment Manager SAS Program Code Other tools Interesting LASR Administration Tasks The role of SAS metadata Defining new LASR Analytic Servers Defining new LASR libraries Managing LASR Analytic Servers with code Working with the Autoloader Facility Monitoring resources used by LASR References chapter ten: performance considerations LASR performance Non-Distributed LASR (SMP) Distributed LASR (MPP) Load balancing by data distribution High-volume access to smaller tables Fast loading of data to distributed LASR Analytic Server LASR and a remote data provider (asymmetric) LASR symmetrically co-located with HDFS LASR co-located with dedicated HDFS and loading data from remote HDFS References part four: SAS Visual Analytics chapter eleven: introducing the SAS Viya platform Overview of the SAS Viya platform Understanding the CAS In-Memory Analytics Server Introducing massively parallel analytics Adding persistence Providing more flexibility SAS Viya and SAS 9.4 together Managing the SAS Viya environment Managing users and groups Managing data Managing content References chapter twelve: wrangling your data Introducing a modern user interface

6 viii contents New features References chapter thirteen: visualizing and exploring your data Introducing the new layout Starting a new report All-in-one application Additional features References index From An Introduction to SAS Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data, by Tricia Aanderud, Rob Collum, and Ryan Kumpfmiller. Copyright 2017, SAS Institute Inc., Cary, North Carolina, USA. ALL RIGHTS RESERVED.