Data analysis is challenging as analysts must navigate nuanced decisions...
Findings from graphical perception can guide visualization recommendatio...
Visual analytics (VA) tools support data exploration by helping analysts...
Efforts to push programming beyond static textual code have sought to im...
The in-context learning capabilities of LLMs like GPT-3 allow annotators...
The many genres of narrative visualization (e.g. data comics, data video...
Narrative visualization is a powerful communicative tool that can take o...
Proper statistical modeling incorporates domain theory about how concept...
Complex animated transitions may be easier to understand when divided in...
Data analysis requires translating higher level questions and hypotheses...
Counterfactual examples have been shown to be useful for many applicatio...
Animated transitions help viewers follow changes between related
visuali...
Large scale analysis of source code, and in particular scientific source...
Multiverse analysis is an approach to data analysis in which all "reason...
How do analysis goals and context affect exploratory data analysis (EDA)...
Drawing reliable inferences from data involves many, sometimes arbitrary...
An emerging generation of visualization authoring systems support expres...
In this paper, we describe a research agenda for deriving design princip...