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 …

High-quality visualization collections are beneficial for a variety of applications including
visualization reference and data-driven visualization design. The visualization community …

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 introduce VL2NL, a Large Language Model (LLM) framework that generates rich and
diverse NL datasets using Vega-Lite specifications as input, thereby streamlining the …

Visual data storytelling is gaining importance as a means of presenting data-driven
information or analysis results, especially to the general public. This has resulted in design …

With the wide usage of data visualizations, a huge number of Scalable Vector Graphic (SVG)-
based visualizations have been created and shared online. Accordingly, there has been an …

The exploratory visual analysis (EVA) of time series data uses visualization as the main
output medium and input interface for exploring new data. However, for users who lack …

Using computational notebooks (eg, Jupyter Notebook), data scientists rationalize their
exploratory data analysis (EDA) based on their prior experience and external knowledge …

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 …

Declarative grammar is becoming an increasingly important technique for understanding
visualization design spaces. The GoTreeScape system presented in the paper allows users …