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Interactive Visualization: Enhancing Understanding through Vision

Explore the power of interactive visualization in analyzing complex data rapidly and uncovering important insights effortlessly. Learn about its applications in economic research and investment funds and how it leads to better understanding and discovery of new relationships. See examples like City’O’Scope and Fund’O’Scope demos that showcase the capabilities of interactive visualization tools in providing a comprehensive overview and facilitating exploration and comparison.

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Interactive Visualization: Enhancing Understanding through Vision

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  1. Interactive VisualizationUsing vision to think Luc Girardin Macrofocus GmbH

  2. Overview • Introduction • An example: Economic Research • Interactive Visualization • Another example: Investment Funds • Summary Interactive Visualization

  3. What is the problem? • Amounts of complex data growing faster than capability to analyze it • We know how to collect data and build big data warehouses but… We are lost in this space • Data  Information  Knowledge Interactive Visualization

  4. Example: Economic research • Survey of prices and earnings in 60 cities around the world • Each city characterized by 40+ different attributes Interactive Visualization

  5. Interactive Visualization

  6. City’O’Scope Demo Interactive Visualization

  7. Interactive visualization • Use perceptual skills • Provide an overview of global relationships • Frame of reference to embed fine grained tasks • Overview – Zoom in – Details on demand • Encourage exploration and comparison • Reveal the data at several levels of detail Interactive Visualization

  8. Our approach • Integrated systems • Preserve context • Different views • Tightly linked • Highly interactive Interactive Visualization

  9. Interactive Visualization

  10. Interactive Visualization

  11. Interactive Visualization

  12. Interactive Visualization

  13. Interactive Visualization

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  15. Interactive Visualization

  16. - Is this an outlier? - Are there groups of similar objects? - How do these groups relate to each other? - What is this object? - Why is it an outlier? - If I change this parameter a little bit, . how will the result be affected?

  17. A different approach… Interactive Visualization

  18. Fund’O’Scope Demo Interactive Visualization

  19. Spring-based layout algorithm Interactive Visualization

  20. i-lists before after Interactive Visualization

  21. -blended parallel coordinates before after Interactive Visualization

  22. What did we learn? • Not enough to connect database to the Web • Tools that fit the way we think and work • Easier and faster data access • Better understanding of information space • Discover new relationships, anomalies Interactive Visualization

  23. www.macrofocus.com E-mail: info@macrofocus.com

  24. Nanotechnology Interactive Visualization

  25. From the lab… Interactive Visualization

  26. …to the Web Interactive Visualization

  27. Atom’O’Scope Demo Interactive Visualization

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