1. Visual Analytics Detect the Expected Discover the Unexpected A Tutorial for Middle School and High School Teachers Module 1- What is Visual Analytics? 1

2. Tutorial Outline Introduction Module 1 What is Visual Analytics? Module 2Proper Visualization Construction and Use Module 3Misinformation and Lying with Graphics Module 4Department of Homeland Security (DHS): Why and How They Use Visualizations Module 5Understandable Applications Module 6Exercises and Resources for the Classroom Conclusion 2

3. Module 1- What is Visual Analytics? Definition Why is Visual Analytics Important? How is Visual Analytics used? Examples 3

4. Definition of Visual Analytics Visual Analytics is the science of analytical reasoning facilitated by interactive visual interfaces. People use visual analytics tools & techniques to: Synthesize information and derive insight from massive, dynamic, ambiguous and often conflicting data sets Detect the expected and discover the unexpected Provide timely, defensible, and understandable assessments Communicate assessment effectively for action 4

5. Computer – Multi Purpose Tool 5

6. Visual Analytics – Multipurpose Tool Flight Patterns & Naming Patterns 6

7. Visual Analytics – Multipurpose Tool Friend Network & Terrorist Network 7

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10. Inference from Data It's Not Just the Data It's What You Can Infer FROM the Data That's what Sherlock Holmes does! McDonald's Visualization Can Infer Cities People Population Airports Hospitals 10

11. Why is Visual Analytics Important? Process lots of data quickly Exploratory analysis Visual communication A picture is worth a thousand words Incredible amount of data generated daily 11

12. Indiana Cancer Incidence Rates Compared to U.S. Rate 12

13. Indiana Cancer Incidence Rates by County 13

14. Indiana Lung & Bronchus Cancer Heat Map 14

15. Historical Examples Charles Joseph Minard John Snow 15

16. Minard's Map - Napoleon's March on Moscow 1812-1813 16

17. Snow's Map of the London Cholera Epidemic 1854 17

18. Conclusion Definition of Visual Analytics: Science of Analytical Reasoning Facilitated by Visual Interfaces Importance of Visual Analytics: Analyze and Explore Vast Data 18

19. Resources McDonald's Restaurant Locations http://www.weathersealed.com/2009/09/22/where-the- buffalo-roamed/ Many Eyes: Average Indiana Cancer Incidence Rates by County 2001-2003 http://manyeyes.alphaworks.ibm.com/manyeyes/visuali zations/78e5ecf0376011dfa6a0000255111976/comme nts/78f1a022376011dfa6a0000255111976 Many Eyes: Average Indiana Cancer Mortality Rates by County 2001-2003 http://manyeyes.alphaworks.ibm.com/manyeyes/visuali zations/feadd31c375f11dfb331000255111976/commen ts/feb92b90375f11dfb331000255111976 19

20. Classroom Exercises Produce Student Led Definition of Visual Analytics McDonald's Restaurant Exercise Examine Cancer Data in Different Forms Additional Features to Visualizations 20

21. Tutorial Outline Introduction Module 1What is Visual Analytics? Module 2 Proper Visualization Construction and Use Module 3Misinformation and Lying with Graphics Module 4Department of Homeland Security (DHS): Why and How They Use Visualizations Module 5Understandable Applications Module 6Exercises and Resources for the Classroom Conclusion 21