TwoRavens is a gesture-based web application that allows users to easily explore, analyze, and conduct interactive statistical modeling on tabular data files stored in Harvard's Dataverse, which contains nearly 25,000 datasets. It provides easy access to descriptive statistics and uses a directed graph interface for statistical modeling. The application is browser-based, device independent, and does not require any statistical expertise. Future directions include automated statistical model selection, accumulating user results, and an interface for curator privacy models.

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

3. TwoRavens
• Gesture-based web application
• Explore and analyze tabular data files
Nearly 25,000 on Harvard’s Dataverse

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. 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. 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

7. 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

8. Architecture

9. http://datascience.iq.harvard.edu/about-tworavens

10. Future Directions

11. Future Directions
1. Automated Statistical Model Selection

12. Future Directions
1. Automated Statistical Model Selection
2. Accumulation of User Results

13. Future Directions
1. Automated Statistical Model Selection
2. Accumulation of User Results
3. Interface for Curator Privacy Model

14. Private
Data
Curator
PUser
PUser
PUser
q1
p1
q2
p2
p3
q3
Figure: The curator architecture for data privacy.