Statistics are tools to help end users accomplish their task. In research, to be qualified as
usable, statistical tools should help researchers advance scientific knowledge by supporting …

Rapidly creating effective visualizations using expressive grammars is challenging for users
who have limited time and limited skills in statistics and data visualization. Even high-level …

Visualization misinformation is a prevalent problem, and combating it requires
understanding people's ability to read, interpret, and reason about erroneous or potentially …

We introduce time curves as a general approach for visualizing patterns of evolution in
temporal data. Examples of such patterns include slow and regular progressions, large …

Visualizations often appear in multiples, either in a single display (eg, small multiples,
dashboard) or across time or space (eg, slideshow, set of dashboards). However, existing …

Dirty data and deceptive design practices can undermine, invert, or invalidate the purported
messages of charts and graphs. These failures can arise silently: a conclusion derived from …

A myriad of design rules for what constitutes a “good” colormap can be found in the
literature. Some common rules include order, uniformity, and high discriminative power …

There has been substantial growth in the use of JSON-based grammars, as well as other
standard data serialization languages, to create visualizations. Each of these grammars …

SQL is a typical query language for performing data analytics. Although its usage is
ubiquitous, learners experience that query formulation in SQL is error-prone and time …

Color map** is a foundational technique for visualizing scalar data. Prior literature offers
guidelines for effective colormap design, such as emphasizing luminance variation while …