Daniel Kerrigan

SliceLens

SliceLens is one of my current research projects at NYU. It is a tool for guided exploration of machine learning datasets and model predictions. Checkout the GitHub repository for more info.

Information Visualization Course Material

I have developed collections of Observable notebooks for NYU's Information Visualization course to help teach students how to build visualizations with D3. The notebooks contain tutorials, examples, and exercises.

Observable Notebooks

You can find additional visualizations that I have created on my Observable profile.

Reducing Edge Crossings in Parallel Coordinates

For my algorithms course at NYU, I created an interactive article that explains how edge crossings can be reduced in parallel coordinates plots.

Bytes of Nutrition

Bytes of Nutrition was my class project from the undergraduate Data Visualization course that I took at Notre Dame. It is an interactive visualization of nutrition data. This project later became the basis for a poster accepted to IEEE VIS 2017. If you are interested in the final version, look at the poster, watch the demo video and read the extended abstract.