60 citations · 132 across the 7 of their papers we have counts for
6 papers · 1 filter
LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution
Yuheng Zhao, Junjie Wang, Linbin Xiang +5
Visual analytics (VA) requires analysts to iteratively propose analysis tasks based on observations and execute tasks by creating visualizations and interactive exploration to gain…
LEVA: Using Large Language Models to Enhance Visual Analytics
Yuheng Zhao, Yixing Zhang, Yu Zhang +5
Visual analytics supports data analysis tasks within complex domain problems. However, due to the richness of data types, visual designs, and interaction designs, users need to rec…
Propagating Visual Designs to Numerous Plots and Dashboards
Saiful Khan, Phong H. Nguyen, Alfie Abdul-Rahman +4
In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists and modeling scientists, we encountered a technical c…
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses
M. Chen, A. Abdul-Rahman, D. Archambault +18
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, an…
Words of Estimative Correlation: Studying Verbalizations of Scatterplots
Rafael Henkin, Cagatay Turkay
Natural language and visualization are being increasingly deployed together for supporting data analysis in different ways, from multimodal interaction to enriched data summaries a…
Progressive Data Science: Potential and Challenges
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig +7
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iter…