Murphy T. Infographics Powered by SAS: Data Visualization Techniques for Business Reporting

Cary: SAS Institute, 2018. — 200 p.Is This Book for You?SAS University Edition
We Want to Hear from YouConceptsThe Goal
Visual Tour of InfographicsAudienceArtistic Freedom versus Communication
Spreadsheets
Flexible ToolsAudienceMarket Trends for Data Visualization
Technology Improvements Continue to Drive Innovation
General Considerations for Designing Infographics
The Challenge: From Data to Insight
Exploring the Requirements Continuum
Exploring the Roles Continuum
The Platform – a Business Engine
Discovery: Make Data-Driven Decisions
Deployment: Drive the Business Where It Happens
SAS Tools and Worked ExamplesOverviewCapability Overview
Typical Use Cases
Capability Overview
SAS Visual Analytics Capabilities
Typical Use Cases
Design Intent
Typical Use Cases
Capability Overview
Tools UsedOverviewCreative Content
Ready, Set, Go!OverviewStep Zero: Start with a Mockup Design
Step 1: Open the Template in PowerPoint
Step 2: Connecting to SAS Visual Analytics
Report: The Sales Performance Dashboard
Step 3: Unifying the Content Elements
From the Data Exploration: Report Element
Step 4: The Final Touches
Step 5: Share the Infographic
Examples Gallery
Example: SAS and Microsoft Excel
Example: SAS Visual Analytics Infographic Inspired Dashboards
Step 1: Start with Your Idea and Rough Design
Step 2: Explore Your Data
Step 3: Build the Basic Infographic
Top Container
Middle Container
Bottom Container
Add Analytics Objects to Examples
Add Custom Data-Driven Content
Step a: Adding the Data-Driven Content: Example using the Condegram
Step b: Adding Data-Driven Content: Third-Party Graphic
Step b: Adding an Additional Data-Driven Content Object
Step: Share the Infographic
Examples GalleryOverviewStep 1: Design
Step 2: Required Elements
Step 3: Walking through the Code
Step 4: Run Time
Step 5: Design
Step 6: Walking through the Code
Step 7: Run Time
Examples GalleryOverviewPathways and Training Resources
SAS YouTube Channel
Massive Data
Closing CommentAppendix A The Data – Why this Data? (Sample Data)
Data Location
Geographic Data Items
Other Data Items