Visual Exploration of Financial Data with Incremental Domain Knowledge.

ABSTRACT: Modelling the dynamics of a growing financial environment is a complex task that requires domain knowledge, expertise and access to heterogeneous information types. Such information can stem from several sources at different scales, complicating the task of forming a holistic impression of the financial landscape, especially in terms of the economical relationships between firms. Bringing this scattered information into a common context is, therefore, an essential step in the process of obtaining meaningful insights about the state of an economy. In this paper, we present Sabrina 2.0, a Visual Analytics (VA) approach for exploring financial data across different scales, from individual firms up to nation-wide aggregate data. Our solution is coupled with a pipeline for the generation

SUBMITTER: Arleo A 

PROVIDER: S-EPMC10946466 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature