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
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.
Evaluating Visualization Authoring Systems through Critical Reflections
Evaluating Visualization Authoring Systems through Critical Reflections
This article is a group effort, with contributions from the authors of our InfoVis’19 paper.
Reflections on the Visualization for Social Good Tutorial
Reflections on the Visualization for Social Good Tutorial
This post co-written by the organizers of the Visualization for Social Good tutorial at IEEE VIS 2019 in Vancouver, BC: Leilani Battle…
Insight Machines: The Past, Present, and Future of Visualization Recommendation
Insight Machines: The Past, Present, and Future of Visualization Recommendation
TLDR: Visualization recommendation systems suggest useful insights for users to more effectively explore and understand their data.
