Insightful Data Visualization with SAS Viya

Insightful Data Visualization with SAS Viya

by Falko Schulz, Travis Murphy
Released October 2020
Publisher(s): SAS Institute
ISBN: 9781951684365

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Book description

Elevate your storytelling with SAS Visual Analytics

Data visualization is the gateway to artificial intelligence (AI) and big data. Insightful Data Visualization with SAS Viya shows how the latest SAS Viya tools can be used to create data visualizations in an easier, smarter, and more engaging way than ever before. SAS Visual Analytics combined with human creativity can produce endless possibilities. In this book, you will learn tips and techniques for getting the most from your SAS Visual Analytics investment. From beginners to advanced SAS users, this book has something for everyone. Use AI wizards to create data visualization automatically, learn to use advanced analytics in your dashboards to surface smarter insights, and learn to extend SAS Visual Analytics with advanced integrations and options.

Topics covered in this book include:

  • SAS Visual Analytics
  • Data visualization with SAS
  • Reports and dashboards
  • SAS code examples
  • Self-service analytics
  • SAS data access
  • Extending SAS beyond drag and drop

Table of contents

  1. Contents
  2. About This Book
  3. About These Authors
  4. Acknowledgments
  5. Part 1: In Principle
  6. Chapter 1: Data-Driven Journeys
    1. Overview
    2. Audience
    3. Introduction
    4. Dashboards
    5. A Dashboard Supports Decision Making
    6. Foundations of a Modern Dashboard
      1. Intended Audience
      2. A Thoughtful, Data-Driven Journey
      3. Design Once and Use Everywhere
    7. Creating Data Visualizations
    8. Data Visualization Gallery
    9. Conclusion
    10. References
  7. Chapter 2: Three Is of Visualization Value – INFORM, INSIGHT, INSPIRE
    1. Overview
    2. Audience
    3. Introduction
    4. The Three Is of Visualization Value
      1. Overview of a Model
      2. The Visualization Value Scale
    5. The Personas
      1. The Analyst
      2. Who Is the Analyst?
      3. Analyst Effort
      4. The Audience
      5. Who Is Your Audience?
      6. Audience Effort
    6. Completing the Model
    7. Importance of Skills Development
    8. Rise of AI and the Role of Automation and Skills Augmentation
    9. Conclusion
    10. References
  8. Chapter 3: SAS and Data Visualization
    1. Overview
    2. Audience
    3. Introduction
    4. A Short History
      1. SAS/GRAPH
      2. SAS Business Intelligence
      3. SAS Visual Analytics
    5. Conclusion
    6. References
  9. Chapter 4: The Analytics Life Cycle with SAS Viya
    1. Overview
    2. Audience
    3. Introduction
    4. Choice and Control
      1. Choice
      2. Control
    5. Accelerate the Analytics Life Cycle
      1. Data: Fuel for Decisions
      2. Discovery: Revving the Engine
      3. Deployment: Build Once, Use Everywhere
      4. Orchestration: Ensuring Trusted Decisions
    6. Powering Digital Transformation
    7. Conclusion
    8. References
  10. Chapter 5: Design Approaches
    1. Overview
    2. Audience
    3. Introduction
    4. Choosing the Right Data Output
    5. Humans Are Visual Creatures
    6. Tips for Insightful Data Visualization
    7. Learn from Other Approaches
      1. Art and Photography Approach
      2. Universal Patterns Approach
      3. Engineering Design Approach
    8. SAS Visual Analytics Design Tips for Analysts
    9. Conclusion
    10. References
  11. Chapter 6: Visual Elements
    1. Overview
    2. Audience
    3. Introduction
    4. Learn from Infographics
    5. Elements of Your Data Visualization
      1. Quantitative: Data-Driven Elements
      2. Subjective: Creative Elements
    6. Deciding Which Visualization to Use
    7. A Starting Point
    8. Traditional Graphs Versus Analytic Driven Visualizations
    9. Analytics-Driven Visualization
      1. Word Cloud Versus Text Topics
      2. Time Series Versus Forecast Object
      3. Parallel Coordinates Plot Versus Clustering and Segmentation
      4. Basic Map Versus Location Intelligence
    10. Traditional Graphs: Simple Yet Powerful
    11. Endless Graphing Options Within SAS Visual Analytics
      1. Custom SAS Graphs
      2. Third-Party Data-Driven Content
    12. More Than a Pretty Picture
    13. Go Beyond Default Settings
    14. Conclusion
    15. References
  12. Chapter 7: Creation Process
    1. Overview
    2. Audience
    3. Introduction
    4. Approach Patterns
    5. Approaching Your Data Visualization Project
    6. The Process
    7. Workflow for Building Your Data Visualization with SAS Visual Analytics
      1. Topic
      2. Design
      3. Build
    8. Final Tips for Data Visualization Projects
    9. Conclusion
    10. References
  13. Part 2: In Practice
  14. Chapter 8: Data Holds the Answers
    1. Overview
    2. Audience
    3. Introduction
    4. Data Is Everywhere
    5. Preparing Data for Dashboards
      1. Data Exploration
      2. SAS Visual Analytics
      3. SAS Data Studio
      4. SAS Studio
      5. Agile Versus Production Data Processes
    6. Conclusion
    7. References
  15. Chapter 9: Examples Overview
    1. Overview
    2. Audience
    3. Introduction
    4. General Structure of Examples
    5. Data
    6. Topics
    7. Tools
    8. Conclusion
    9. References
  16. Chapter 10: Example 1: SAS and Social Media Data
    1. Overview
    2. Audience
    3. Introduction
    4. Project Approach
    5. INFORM
      1. ACCESS
      2. EXPLORE
    6. INSIGHT
      1. ANALYZE
      2. FORMAT
    7. INSPIRE
      1. REFINE
      2. DEPLOY
    8. Conclusion
    9. References
  17. Chapter 11: Example 2: SAS and Climate Data
    1. Overview
    2. Audience
    3. Introduction
    4. INFORM
      1. ACCESS
      2. EXPLORE
    5. INSIGHT
      1. ANALYZE
      2. FORMAT
      3. BUILD
    6. INSPIRE
      1. REFINE
      2. DEPLOY
    7. Conclusion
    8. References
  18. Chapter 12: Example 3: SAS and Outbreak Data
    1. Overview
    2. Audience
    3. Introduction
    4. INFORM
      1. ACCESS
      2. EXPLORE
    5. INSIGHT
      1. ANALYZE
      2. FORMAT
    6. INSPIRE
      1. REFINE
      2. DEPLOY
    7. Conclusion
    8. References
  19. Chapter 13: Sharing and Collaboration
    1. Overview
    2. Audience
    3. Introduction
    4. Audience Requirements Are Critical
    5. Three-I Model from the Audience Perspective
    6. INFORM
      1. AUGMENT
      2. PIVOT
    7. INSIGHT
      1. CUSTOMIZE
      2. CURATE
    8. INSPIRE
      1. CONSUME
      2. ACT
    9. Consider How You Will Share Your Visualization
    10. Conclusion
    11. References
  20. Chapter 14: Future of Data Visualization
    1. Overview
    2. Audience
    3. Introduction
    4. Future Trends
      1. New Entry Points – Technology Innovation
      2. Art Merged with Science
      3. Crowd Sourcing Data Visualization
      4. Data Visualization Literacy
      5. Beyond Dashboards
      6. Talk to ME!
      7. Big Data Visualization
      8. Technology Landscape
      9. Open for Business
      10. Conversations with Data
    5. Audience and Analyst
    6. Next Steps
    7. Conclusion
    8. References

Product information

  • Title: Insightful Data Visualization with SAS Viya
  • Author(s): Falko Schulz, Travis Murphy
  • Release date: October 2020
  • Publisher(s): SAS Institute
  • ISBN: 9781951684365