Visualizations have a potentially enormous influence on how data are used to make decisions
across all areas of human endeavor. However, it is not clear how this power connects to …

Famous examples such as Anscombe's Quartet highlight that one of the core benefits of
visualizations is allowing people to discover visual patterns that might otherwise be hidden by …

Understanding uncertainty is critical for many analytical tasks. One common approach is to
encode data values and uncertainty values independently, using two visual variables. These …

When making an inference or comparison with uncertain, noisy, or incomplete data,
measurement error and confidence intervals can be as important for judgment as the actual mean …

Understanding and accounting for uncertainty is critical to effectively reasoning about visualized
data. However, evaluating the impact of an uncertainty visualization is complex due to …

The visual system can make highly efficient aggregate judgements about a set of objects,
with speed roughly independent of the number of objects considered. While there is a rich …

Many visualization tasks require the viewer to make judgments about aggregate properties
of data. Recent work has shown that viewers can perform such tasks effectively, for example …

Dashboards are one of the most common use cases for data visualization, and their design
and contexts of use are considerably different from exploratory visualization tools. In this …

Visualizations often seek to aid viewers in assessing the big picture in the data, that is, to
make judgments about aggregate properties of the data. In this paper, we present an empirical …

Working with data in table form is usually considered a preparatory and tedious step in the
sensemaking pipeline; a way of getting the data ready for more sophisticated visualization …