We review a range of temporal data visualization techniques through a new lens, by
describing them as series of op-erations performed on a conceptual space-time cube. These …

We present a state‐of‐the‐art report on visualization corpora in automated chart analysis
research. We survey 56 papers that created or used a visualization corpus as the input of …

We present the generalized space‐time cube, a descriptive model for visualizations of
temporal data. Visualizations are described as operations on the cube, which transform the …

Designing visualizations of dynamic networks is challenging, both because the data sets
tend to be complex and because the tasks associated with them are often cognitively …

Many datasets, such as scientific literature collections, contain multiple heterogeneous
facets which derive implicit relations, as well as explicit relational references between data …

Social network analysis (SNA) is becoming increasingly concerned not only with actors and
their relations, but also with distinguishing between different types of such entities. For …

Edge bundling methods reduce visual clutter of dense and occluded graphs. However,
existing bundling techniques either ignore edge properties such as direction and data …

Data flow systems allow the user to design a flow diagram that specifies the relations
between system components which process, filter or visually present the data. Visualization …

The study of complex activities such as scientific production and software development often
requires modeling connections among heterogeneous entities including people, institutions …

Data workers use various scripting languages for data transformation, such as SAS, R, and
Python. However, understanding intricate code pieces requires advanced programming …