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Perspective on Visualizing Social Sciences

Explore the intersection of financial data analysis and urban studies through visual analytical tools. Learn about detecting fraudulent wire transactions, urban development analysis, and collaborative agent-based modeling. Discover the power of interactive PCA and insightful approaches to information visualization.

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Perspective on Visualizing Social Sciences

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  1. Perspective on Visualizing Social Sciences Remco Chang Charlotte Visualization Center UNC Charlotte

  2. Financial Visual Analysis • UNC Charlotte’s success with Bank of America and financial visual analytics • Fraudulent Wire Transaction Analysis • “Finding a needle in a stack of needles” – Bill Fox • Failure of a blackbox approach • The Art and Science of analysis

  3. Financial Visual Analysis

  4. What is Information Visualization? • A case study of how a visualization application differs from a visual analytical tool…

  5. Geo-Spatial - LIDAR

  6. Geo-Spatial - LIDAR

  7. Geo-Spatial - LIDAR • Identify buildings without permits • It’s a useful application… • but it’s not an analysis tool.

  8. Geo-Spatial - LIDAR

  9. Geo-Spatial - LIDAR

  10. Geo-Spatial - LIDAR Difference Suburban Region City Center

  11. Geo-Spatial – Urban Analysis • DIA presentations mentioned Google Earth’s short coming • Demo of UrbanVis

  12. Geo-Spatial – Urban Analysis • Query-free Exploration • no need to generate n(n-1)/2 plots to find relationships between every two variables • you don’t have to know what you’re looking for… • “Here’s what I’m interested in, there’s where it is” • Combination of data analysis and GIS

  13. Agent-Based Modeling • DARPA sponsored project • Modeling Afghanistan • Using off-the-shelf package (NetLogo) • (show NetLogo image)

  14. Agent-Based Modeling

  15. Agent-Based Modeling

  16. Agent-Based Modeling

  17. Agent-Based Modeling • Details on demand • Juxtaposes different variables for comparison in one glance • Allows for multiple resolutions • A framework for combining different models • Would work great in a collaborative environment such as a multi-touch table

  18. Agent-Based Modeling • Visualization is not an after thought… • Embed analysis and reasoning directly into the visualization

  19. Interactive PCA • Principal Component Analysis (PCA) • Based on identifying Eigenvectors and Eigen values • Most commonly used in finding clusters • Often computed using Matlab or statistical packages • (demo InteractivePCA)

  20. Backup

  21. PCA

  22. Fincen: Financial Crime Enforcement Network, part of Dept of Treasury • Bill Fox - Senior Vice President and Senior Compliance Executive at Bank of America

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