VisGrader: Automatic Grading of D3 Visualizations

Development

Clone or download this repository:

git clone git@github.com:poloclub/visgrader.git

Install the dependencies

pip install -r requirements.txt

Run the auto-grader example with:

./local_run_autograder

Then view the graded results in /sample/results.json

To view the sample visualization, run a server in the submission/ directory using;

python -m http.server 3000 &

Then navigate to http://localhost:3000/submision.html

Credits

Led by Matthew Hull, VisGrader is a result of a collaboration between the Polo Club of Data Science and Teaching Assistants from CSE 6242 Data and Visual Analytics at Georgia Tech. VisGrader has been created by Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Mahdi Roozbahani, and Duen Horng Chau.

Citation

To learn more about VisGrader, please read our paper, presented at IEEE VIS 2023:

@article{hull2023visgrader,
  author={Hull, Matthew and Pednekar, Vivian and Murray, Hannah and Roy, Nimisha and Tung, Emmanuel and Routray, Susanta and Guerin, Connor and Chen, Justin and Wang, Zijie J. and Lee, Seongmin and Roozbahani, Mahdi and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics}, 
  title={VISGRADER: Automatic Grading of D3 Visualizations}, 
  year={2023},
  volume={30},
  number={1},
  pages={1-11},
  doi={10.1109/TVCG.2023.3327181}}

Also, see our preliminary work, a two-page poster paper and poster presented at IEEE VIS 2021. Thanks!

@inproceedings{hull2021autogradeviz,
      title={Towards Automatic Grading of D3.js Visualizations},
      author={Matthew Hull, Connor Guerin, Justin Chen, Susanta Routray, Duen Horng (Polo) Chau},
      booktitle = {IEEE Visualization Conference (VIS), Poster},
      year={2021}}