Research and development in computer science and statistics have produced increasingly
sophisticated software interfaces for interactive and exploratory analysis, optimized for easy …

Visual analytics (VA) tools support data exploration by helping analysts quickly and
iteratively generate views of data which reveal interesting patterns. However, these tools …

Leman et al. and Endert et al. develop an interactive data visualization framework called
visual to parametric interaction (V2PI). With V2PI, experts may explore data visually (assess …

People commonly utilize visualizations not only to examine a given dataset, but also to draw
generalizable conclusions about the underlying models or phenomena. Prior research has …

Focuses on insights, approaches, and techniques that are essential to designing interactive
graphics and visualizations Making Sense of Data III: A Practical Guide to Designing …

Efficient exploratory data analysis (EDA) may be aided by succinct, but informative,
graphical representations (eg, Tukey plots) that convey information about central tendency …

Interactive Visualization has been used to study scientific phenomena, analyze data,
visualize information, and to explore large amounts of multi-variate data. It enables the …

In this chapter we briefly review literature addressing visual inspection of graphed single-
case data. In doing so, we explore graphics perception, considering strategies for enhancing …

Exploratory data analysis (EDA) and Bayesian inference (or, more generally, complex
statistical modeling)—which are generally considered as unrelated statistical paradigms …

“Exploratory” and “confirmatory” data analysis can both be viewed as methods for comparing
observed data to what would be obtained under an implicit or explicit statistical model. For …