Multiple Views: Visualization Research Explained
A blog about visualization research, for anyone, by the people who do it. Edited by Jessica Hullman, Danielle Szafir, Robert Kosara, and Enrico Bertini
Designing choropleth maps: What projection to choose?
Designing choropleth maps: What projection to choose?
TL;DR: Using equal-area projections is important for reliably interpreting data in choropleth maps. We asked social science researchers…
A personal visualization research story
A personal visualization research story
VIS 2020 was my 10th IEEE VIS conference! It’s also the last year that the three tracks of InfoVis (visualizing abstract data), VAST…
Surfacing Visualization Mirages
Surfacing Visualization Mirages
When reading a visualization is what we see really what we get?
Conduct design studies in your visualization class and make an impact on your community
Conduct design studies in your visualization class and make an impact on your community
This post is about our paper at ACM CHI 2020 (Best Paper Award) — Design Study “Lite” Methodology: Expediting Design Studies and Enabling…
Timelines are not always lines: An evaluation of different timeline shapes
Timelines are not always lines: An evaluation of different timeline shapes
TL;DR: When we create a timeline, we can use many different shapes to convey different meanings, or just to apply our creativity: it can…
A Comparison of Geographical Propagation Visualizations
A Comparison of Geographical Propagation Visualizations
TL;DR:
Visualizing Categorical Data with Disproportionate Values Using Du Bois Wrapped Bar Charts!
Visualizing Categorical Data with Disproportionate Values Using Du Bois Wrapped Bar Charts!
Du Bois Wrapped Bar Charts limit the y-axis and wrap the largest bar’s values along the categorical axis.
Being Bayesian with Visualization
Being Bayesian with Visualization
Jessica Hullman and Yea Seul Kim of the MU Collective.
