Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

Information visualization designers strive to design data displays that allow for efficient
exploration, analysis, and communication of patterns in data, leading to informed decisions …

There exists a gap between visualization design guidelines and their application in
visualization tools. While empirical studies can provide design guidance, we lack a formal …

Visualizations of tabular data are widely used; understanding their effectiveness in different
task and data contexts is fundamental to scaling their impact. However, little is known about …

We present explorable multiverse analysis reports, a new approach to statistical reporting
where readers of research papers can explore alternative analysis options by interacting …

The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …

Using visualization requires people to read abstract visual imagery, estimate statistics, and
retain information. However, people with Intellectual and Developmental Disabilities (IDD) …

In addition to the choice of visual encodings, the effectiveness of a data visualization may
vary with the analytical task being performed and the distribution of data values. To better …

In recent years, there is a growing need for communicating complex data in an accessible
graphical form. Existing visualization creation tools support automatic visual encoding, but …

Ensemble coding supports rapid extraction of visual statistics about distributed visual
information. Researchers typically study this ability with the goal of drawing conclusions …