Lessons Learned From Quantitatively Exploring Visualization Rubric Utilization for Peer Feedback.

We present our experience of adapting a rubric for peer feedback in our data visualization course and exploring the utilization of that rubric by students across two semesters. We first discuss the results of an automatable quantitative analysis of the rubric responses, and then compare those results to a qualitative analysis of summative survey responses from students regarding the rubric and peer-feedback process. We conclude with lessons learned about the visualization rubric we used, as well as what we learned more broadly about using quantitative analysis to explore this type of data.

Unboxing cluster heatmaps.

Background: Cluster heatmaps are commonly used in biology and related fields to reveal hierarchical clusters in data matrices. This visualization technique has high data density and reveal clusters better than unordered heatmaps alone. However, cluster heatmaps have known issues making them both time consuming to use and prone to error.