TV-MV analytics : a visual analytics framework to explore time-varying multivariate data

We present an integrated interactive framework for the visual analysis of time-varying multivariate data sets. As part of our research, we performed in-depth studies concerning the applicability of visualization techniques to obtain valuable insights. We consolidated the considered analysis and visualization methods in one framework, called TV-MV Analytics. TV-MV Analytics effectively combines visualization and data mining algorithms providing the following capabilities: (1) visual exploration of multivariate data at different temporal scales, and (2) a hierarchical small multiples visualization combined with interactive clustering and multidimensional projection to detect temporal relationships in the data. We demonstrate the value of our framework for specific scenarios, by studying three use cases that were validated and discussed with domain experts191323CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP301847/ 2017-712/24537-0; 15/12831-0; 17/05838-3The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work received financial support of the State of Sa˜o Paulo Research Foundation (FAPESP) (grants 12/24537-0, 15/ 12831-0, and 17/05838-3), and from the Brazilian National Research Council (CNPq) (grant 301847/ 2017-7