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TwoRavens: A Graphical, Browser-Based Statistical Interface for Data Repositories by Vito D’Orazio and James Honaker

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TwoRavens: A Graphical, Browser-Based Statistical Interface for Data Repositories by Vito D’Orazio and James Honaker

  1. 1. TwoRavens A Graphical, Browser-Based Statistical Interface for Data Repositories Vito D’Orazio and James Honaker Data Science Institute for Quantitative Social Science Harvard University June 11, 2015
  2. 2. TwoRavens • Gesture-based web application • Explore and analyze tabular data files Nearly 25,000 on Harvard’s Dataverse
  3. 3. TwoRavens • Gesture-based web application • Explore and analyze tabular data files Nearly 25,000 on Harvard’s Dataverse • Easy access to descriptive statistics • Interactive statistical modeling using the language of directed graphs
  4. 4. TwoRavens • Gesture-based web application • Explore and analyze tabular data files Nearly 25,000 on Harvard’s Dataverse • Easy access to descriptive statistics • Interactive statistical modeling using the language of directed graphs
  5. 5. TwoRavens • Gesture-based web application • Explore and analyze tabular data files Nearly 25,000 on Harvard’s Dataverse • Easy access to descriptive statistics • Interactive statistical modeling using the language of directed graphs
  6. 6. Design Principles • Browser-based, thin client Data are never local Metadata are pulled client-side Dataverse’s DDI metadata TwoRavens’ generated metadata Data are pulled server-side • Device independent and broadly accessible Only requires an internet connection Does not presuppose expert statistical knowledge or experience with statistical software
  7. 7. Architecture
  8. 8. http://datascience.iq.harvard.edu/about-tworavens
  9. 9. Future Directions
  10. 10. Future Directions 1. Automated Statistical Model Selection
  11. 11. Future Directions 1. Automated Statistical Model Selection 2. Accumulation of User Results
  12. 12. Future Directions 1. Automated Statistical Model Selection 2. Accumulation of User Results 3. Interface for Curator Privacy Model
  13. 13. Private Data Curator PUser PUser PUser q1 p1 q2 p2 p3 q3 Figure: The curator architecture for data privacy.

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