There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Data scientists often have to use other presentation tools (eg, Microsoft PowerPoint) to
create slides to communicate their analysis obtained using computational notebooks. Much …

Data scientists have embraced computational notebooks to author analysis code and
accompanying visualizations within a single document. Currently, although these media …

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 …

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 the proliferation of big data and business analytics practices, data storytelling has
gained increasing importance as an effective means for communicating analytical insights to …

This study aimed to provide an in-depth understanding of English as a Foreign Language
(EFL) students' perceptions concerning both the benefits and limitations of Artificial …

Computational notebooks help data analysts analyze and visualize datasets, and share
analysis procedures and outputs. However, notebooks typically combine code (eg, Python …

Insights are often considered the ideal outcome of visual analysis sessions. However, there
is no single definition of what an insight is. Some scholars define insights as correlations …

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