Interactive Visualization Notebooks: A Use Case in Space Weather Exploration

Abstract

The increasing volume and complexity of data in many domains necessitate innovative approaches to data analysis and visualization. This paper presents an interactive visualization notebook method that integrates data management, processing, and visual analytics to facilitate knowledge generation and decision-making. We demonstrate the effectiveness of this approach through a use case in space weather exploration, where interactive visualizations are used to analyze the impact of solar activity on global navigation satellite systems. Our demonstrator shows that interactive visualization notebooks can streamline workflows, enhance transparency, and support reproducibility in data science and visual analytics pipelines. We discuss the limitations and potential extensions of this approach, highlighting the need for standardized data interfaces, customizable components, and high-performance computing infrastructure to support large-scale data analysis. This research contributes to the development of more efficient and effective data-driven decision-making processes in various domains.