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 …

Many long-established, traditional manufacturing businesses are becoming more digital and
data-driven to improve their production. These companies are embracing visual analytics in …

Retrieving charts from a large corpus is a fundamental task that can benefit numerous
applications such as visualization recommendations. The retrieved results are expected to …

Data visualization practitioners often lack formal training, resulting in a knowledge gap in
visualization design best practices. Large-language models like ChatGPT, with their vast …

The visualization community has a rich history of reflecting upon visualization design flaws.
Although research in this area has remained lively, we believe it is essential to continuously …

To facilitate the reuse of existing charts, previous research has examined how to obtain a
semantic understanding of a chart by deconstructing its visual representation into reusable …

Genomics experts rely on visualization to extract and share insights from complex and large-
scale datasets. Beyond off-the-shelf tools for data exploration, there is an increasing need …

This paper explores the potential of AI-powered tools to reshape data analysis, focusing on
design considerations and challenges. We explore how the emergence of large language …

Visualization designers (eg, journalists or data analysts) often rely on examples to explore
the space of possible designs, yet we have little insight into how examples shape data …

Written language is a useful tool for non-visual creative activities like composing essays and
planning searches. This paper investigates the integration of written language into the …