Recording Reusable and Guided Analytics From Interaction Histories
Nam Wook Kim

TL;DR
This paper presents a visual analysis tool that records, formalizes, and guides analytics processes using interaction logs and decision trees, enhancing reproducibility and learning in data exploration.
Contribution
It introduces a novel tool that captures analysis workflows as decision trees, enabling reuse, formalization, and guided exploration in visual analytics.
Findings
Supports systematic workflows and best practices.
Facilitates knowledge dissemination and learning.
Enhances reproducibility of visual analysis processes.
Abstract
The use of visual analytics tools has gained popularity in various domains, helping users discover meaningful information from complex and large data sets. Users often face difficulty in disseminating the knowledge discovered without clear recall of their exploration paths and analysis processes. We introduce a visual analysis tool that allows analysts to record reusable and guided analytics from their interaction logs. To capture the analysis process, we use a decision tree whose node embeds visualizations and guide to define a visual analysis task. The tool enables analysts to formalize analysis strategies, build best practices, and guide novices through systematic workflows.
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Taxonomy
TopicsData Visualization and Analytics · Advanced Text Analysis Techniques · Semantic Web and Ontologies
