AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component
of contemporary coding contexts. Among these environments, computational notebooks …

Interfaces for machine learning (ML), information and visualizations about models or data,
can help practitioners build robust and responsible ML systems. Despite their benefits …

The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally
and almost 6 million reported deaths as of March 2022. Consequently, the world …

Computational notebooks have become increasingly popular for exploratory data analysis
due to their ability to support data exploration and explanation within a single document …

Computational notebooks are widely used for data analysis. Their interleaved displays of
code and execution results (eg, visualizations) are welcomed since they enable iterative …

With most modern visualization tools, authors need to transform their data into tidy formats to
create visualizations they want. Because this requires experience with programming or …

Profiling data by plotting distributions and analyzing summary statistics is a critical step
throughout data analysis. Currently, this process is manual and tedious since analysts must …

We present Animated Vega-Lite, a set of extensions to Vega-Lite that model animated
visualizations as time-varying data queries. In contrast to alternate approaches for specifying …

Computational notebooks, such as Jupyter Notebook, have become data scientists' de facto
programming environments. Many visualization researchers and practitioners have …

Finding line-chart images similar to a given line-chart image query is a common task in data
exploration and image query systems, eg finding similar trends in stock markets or medical …