Visual data analysis involves both open-ended and focused exploration. Manual chart
specification tools support question answering, but are often tedious for early-stage …

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 …

Creating effective visualizations requires domain familiarity as well as design and analysis
expertise, and may impose a tedious specification process. To address these difficulties …

We present GraphScape, a directed graph model of the vi-sualization design space that
supports automated reasoning about visualization similarity and sequencing. Graph nodes …

Similarity measuring methods are widely adopted in a broad range of visualization
applications. In this work, we address the challenge of representing human perception in the …

Visualization recommendation is important for exploratory analysis and making sense of the
data quickly by automatically recommending relevant visualizations to the user. In this work …

Many researchers have explored tools that aim to recommend data insights to users. These
tools automatically communicate a rich diversity of data insights and offer such insights for …

Visualization recommendation (VisRec) systems provide users with suggestions for
potentially interesting and useful next steps during exploratory data analysis. These …

In this paper, we examine the robustness of scagnostics through a series of theoretical and
empirical studies. First, we investigate the sensitivity of scagnostics by employing perturbing …

Small multiples can visually enforce comparisons of changes or differences among objects,
revealing potential patterns by providing different views. According to the analyzing …