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TwoRavens
A Graphical, Browser-Based Statistical Interface
for Data Repositories
Vito D’Orazio and James Honaker
Data Scie...
TwoRavens
• Gesture-based web application
• Explore and analyze tabular data files
Nearly 25,000 on Harvard’s Dataverse
TwoRavens
• Gesture-based web application
• Explore and analyze tabular data files
Nearly 25,000 on Harvard’s Dataverse
• E...
TwoRavens
• Gesture-based web application
• Explore and analyze tabular data files
Nearly 25,000 on Harvard’s Dataverse
• E...
TwoRavens
• Gesture-based web application
• Explore and analyze tabular data files
Nearly 25,000 on Harvard’s Dataverse
• E...
Design Principles
• Browser-based, thin client
Data are never local
Metadata are pulled client-side
Dataverse’s DDI metada...
Architecture
http://datascience.iq.harvard.edu/about-tworavens
Future Directions
Future Directions
1. Automated Statistical Model Selection
Future Directions
1. Automated Statistical Model Selection
2. Accumulation of User Results
Future Directions
1. Automated Statistical Model Selection
2. Accumulation of User Results
3. Interface for Curator Privac...
Private
Data
Curator
PUser
PUser
PUser
q1
p1
q2
p2
p3
q3
Figure: The curator architecture for data privacy.
TwoRavens: A Graphical, Browser-Based Statistical Interface for Data Repositories by Vito D’Orazio and James Honaker
TwoRavens: A Graphical, Browser-Based Statistical Interface for Data Repositories by Vito D’Orazio and James Honaker
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Session 3 Data Exploration & Analysis: TwoRavens

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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.

Session 3 Data Exploration & Analysis: TwoRavens

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