TwoRavens is a Web application for statistical modeling. Given a dataset, it automatically identifies interesting relationships and builds models to predict outcomes. Researchers impart substantive knowledge to define new problems and build better models to help solve their research question.
The project has 3 core applications:
| Dataverse | Size | # Rows | # Columns | Time | First 100 Rows* | Result | | — | — | — | — | — | — | — | | ajps_replication_raw_wide.tab | 86.5 kB | 360 | 66 | 0.23 s | .tab | .json | | sectoral_value_added.csv | 380.4 kB | 900 | 26 | 0.25 s | .csv | .json | | cces2008_primaryvote.tab | 1.0 MB | 3200 | 7 | 0.19 s | .tab | .json | | food_range_sez_adj.csv | 415.5 kB | 4239 | 1 | 0.05 s | .csv | .json | | data.tab | 1 GB | 43522 | 1021 | 96.89 s | .tab | .json |
Gil, Yolanda, James Honaker, Shikhar Gupta, Yibo Ma, Vito D’Orazio, Daniel Garijo, Shruti Gadewar, Qifan Yang, and Neda Jahanshad. “Towards human-guided machine learning.” In Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 614-624. ACM, 2019.
D’Orazio, Vito, Marcus Deng, and Michael Shoemate. “TwoRavens for Event Data.” In 2018 IEEE International Conference on Information Reuse and Integration (IRI), pp. 394-401. IEEE, 2018.
Honaker, James, and Vito D’Orazio. “Statistical Modeling by Gesture: A Graphical, Browser-based Statistical Interface for Data Repositories,” in Extended Proceedings of ACM Hypertext, 2014.
This project would not be possible without the excellent contributions of our research assistants: Kripanshu Bhargava, Rohit Bhattacharjee, Marcus Deng, Sruti Jain, Aaron Lebo, Mital Modha, and Michael Shoemate.