Draco introduced a constraint-based framework to model visualization des...
Findings from graphical perception can guide visualization recommendatio...
Making data visualizations accessible for people with disabilities remai...
Profiling data by plotting distributions and analyzing summary statistic...
We investigate variability overweighting, a previously undocumented bias...
We present DashQL, a language that describes complete analysis workflows...
Machine learning (ML) models can fail in unexpected ways in the real wor...
Lack of diversity in data collection has caused significant failures in
...
Vega is a popular domain-specific language (DSL) for visualization
speci...
The Vega grammar has been broadly adopted by a growing ecosystem of
brow...
The rapid development of network science and technologies depends on
sha...
Data visualizations are created and shared on the web at an unprecedente...
Interfaces for machine learning (ML), information and visualizations abo...
While many visualization specification languages are user-friendly, they...
The confusion matrix, a ubiquitous visualization for helping people eval...
Authors often transform a large screen visualization for smaller display...
Increased access to mobile devices motivates the need to design communic...
NASA JPL scientists working on the micro x-ray fluorescence (microXRF)
s...
Visualizations themselves have become a data format. Akin to other data
...
We aim to increase the flexibility at which a data worker can choose the...
Data analysts often need to work with multiple series of
data---conventi...
In this paper, we describe a research agenda for deriving design princip...