The article discusses visual analytics, which, according to J. Thomas, is understood as the solution of problems of data analysis using a facilitating interactive visual interface. Today, visual analytics is widely used in various fields -in research, design, management and others, due to the well-known predisposition of people to spatial thinking. Despite the wide usage, according to the authors, the theoretical aspects of visual analytics are not well developed at present, which is certainly a limiting factor in the development of visual analytics tools and its effective use in practice. It is declared in the article, that one of the most common of the forms of visual analytics is solution of data analysis problems using the visualization method. The visualization method is described in details and a number of works done by the "Scientific Visualization" laboratory NRNU MEPhI in this area are presented as an example of usage of the visualization method. The works were performed in different subject areas from physics to finance and monitoring.
The Interactive Visual Explorer (InVEx) application is designed as a visual analytics tool for Big Data analysis. Visual analytics is an integral approach to data analysis, combining methods of intellectual data analysis with advanced interactive visualization. One of the main objectives of InVExis to process large data samples by decreasing their level of detail (LoD).The proposed approach includes clustering as well as flexible grouping by different parameters, providing the exploration of data from the lowest to the highest level of details. The results of grouping and clusterization arevisualized using interactive 3D scene and parallel coordinates, allowing the user to gain insight into data, to explore hidden correlations and trends of parameters.
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