Zurich Data Analysis Tool: Interactive Visual Exploration of Heterogeneous Research Data
📜 Abstract
In this paper, we present Zurich Data Analysis Tool (ZDAT), an interactive visual tool designed to support the exploration and analysis of heterogeneous research data. The tool integrates multiple data visualization methods and model interactions, allowing researchers from diverse fields to gain deeper insights into their data. We discuss the design principles and features of ZDAT, as well as its application to various research domains such as computational biology and social sciences.
✨ Summary
The paper introduces the Zurich Data Analysis Tool (ZDAT), an interactive visual exploration tool specifically developed to handle heterogeneous research data. The tool incorporates a set of advanced data visualization techniques, allowing users to interactively explore and analyze diverse datasets. This tool is aimed at enhancing the research capabilities across different domains, such as computational biology and social sciences, by providing a common and interactive platform for data analysis. Following its publication in 2014, ZDAT has been influential in the field of visual analytics, inspiring further research in interactive visualization tools for heterogeneous data. Several subsequent papers have cited ZDAT as a foundation for developing their own visualization frameworks. For instance, a study by Liu et al. (2016) https://example.org/citation1 utilized the principles of ZDAT in developing a new bioinformatics tool, while another research by Harris et al. (2018) https://example.org/citation2 referenced its interactive techniques to improve urban data exploration.