NL4DV: Natural Language toolkit for Data Visualization

NL4DV takes a natural language query about a given dataset as input and outputs a structured JSON object containing:

Data attributes,
Analytic tasks, and
Visualizations (Vega-Lite specifications)

With this output, developers can

Create visualizations in Python using natural language, and/or
Add a natural language interface to their existing visualization systems.

Setup Instructions, API Documentation, and Examples

These can all be found on NL4DV's project website.

Credits

NL4DV was created by Arpit Narechania, Arjun Srinivasan, Rishab Mitra, Alex Endert, and John Stasko of the Georgia Tech Visualization Lab.

We thank the members of the Georgia Tech Visualization Lab for their support and constructive feedback.

Citations

2020 IEEE TVCG Journal Full Paper (Proceedings of the 2020 IEEE VIS Conference)

@article{narechania2020nl4dv,
  title = {{NL4DV}: A {Toolkit} for Generating {Analytic Specifications} for {Data Visualization} from {Natural Language} Queries},
  shorttitle = {{NL4DV}},
  author = {{Narechania}, Arpit and {Srinivasan}, Arjun and {Stasko}, John},
  journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  doi = {10.1109/TVCG.2020.3030378},
  year = {2020},
  publisher = {IEEE}
}

2022 IEEE VIS Conference Short Paper Track

@inproceedings{mitra2022conversationalinteraction,
  title = {{Facilitating Conversational Interaction in Natural Language Interfaces for Visualization}},
  author = {{Mitra}, Rishab and {Narechania}, Arpit and {Endert}, Alex and {Stasko}, John},
  booktitle={2022 IEEE Visualization Conference (VIS)},
  url = {https://doi.org/10.48550/arXiv.2207.00189},
  doi = {10.48550/arXiv.2207.00189},
  year = {2022},
  publisher = {IEEE}
}