Visualizations are now widely used across disciplines to understand and communicate data.
The benefit of visualizations lies in leveraging our natural visual perception. However, the …

Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and
yet our understanding of the process is arguably vague and piecemeal. We contribute a …

While there have been a dozen of authoring systems and programming toolkits for visual
design and development, users who do not have programming skills, such as data analysts …

In the information age, the ability to read and construct data visualizations becomes as
important as the ability to read and write text. However, while standard definitions and …

Data visualization is invaluable for explaining the significance of data to people who are
visually oriented. The central task of automatic data visualization is, given a dataset, to …

Recently, an increasing number of visualization systems have begun to incorporate natural
language generation (NLG) capabilities into their interfaces. NLG-based visualization …

We take a new, scenario-based look at evaluation in information visualization. Our seven
scenarios, evaluating visual data analysis and reasoning, evaluating user performance …

Natural language interfaces for visualizations have emerged as a promising new way of
interacting with data and performing analytics. Many of these systems have fundamental …

Despite the increasing number of data visualization authoring systems in recent years, it
remains a challenge to simultaneously achieve high expressive power and ease of use in a …

Data surrounds each and every one of us in our daily lives, ranging from exercise logs, to
archives of our interactions with others on social media, to online resources pertaining to our …