Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

Data visualization is a powerful skill for the demonstration of meaningful data insights in an
interactive and effective way. In this survey article, we collected 70 articles from last five …

Automatic infographics generators employ machine learning algorithms/user-defined rules
and visual embellishments into the creation of infographics. It is an emerging topic in the …

We contribute a deep-learning-based method that assists in designing analytical
dashboards for analyzing a data table. Given a data table, data workers usually need to …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

Provenance-tracking is widely acknowledged as an important feature of visualization
systems. By tracking provenance data, visualization designers can provide a wide variety of …

Interaction is an important channel to offer users insights in interactive visualization systems.
However, which interaction to operate and which part of data to explore are hard questions …

Researchers have derived many theoretical models for specifying users' insights as they
interact with a visualization system. These representations are essential for understanding …

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 …

Existing visualization recommendation systems commonly rely on a single snapshot of a
dataset to suggest visualizations to users. However, exploratory data analysis involves a …