Purpose This study aims to provide a picture of the current state of art in the use of big data
for decision-making processes for the management of health-care organizations …

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

Data storytelling is powerful for communicating data insights, but it requires diverse skills
and considerable effort from human creators. Recent research has widely explored the …

Working with data in table form is usually considered a preparatory and tedious step in the
sensemaking pipeline; a way of getting the data ready for more sophisticated visualization …

AutoML systems can speed up routine data science work and make machine learning
available to those without expertise in statistics and computer science. These systems have …

Natural language (NL) programming has become more approachable due to the powerful
code-generation capability of large language models (LLMs). This shift to using NL to …

Data analysis is challenging as it requires synthesizing domain knowledge, statistical
expertise, and programming skills. Assistants powered by large language models (LLMs) …

Prior research on communicating with visualization has focused on public presentation and
asynchronous individual consumption, such as in the domain of journalism. The …

Keeping up with the research literature plays an important role in the workflow of scientists–
allowing them to understand a field, formulate the problems they focus on, and develop the …

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