Combining Multiple View Components for Exploratory Visualization

The analysis of structured complex data, such as clustered graph based datasets, usually applies a variety of visual representation techniques and formats. The majority of currently available tools and approaches to exploratory visualization are built on integrated schemes for simultaneous displaying of multiple aspects of studying objects and processes. Usually, such schemes partition screen space that is composed of multiple views and adopt interaction patterns to focus on data-driven items. Widely known concepts as overview plus-detail and focus-plus-context are ambiguous in interpretation by means of technical terms. Therefore, their implementation by UI design practitioners need reviews and a classification of the basic approaches to visual composition of graphical representation modules. We propose a description of basic components of the view and focus and an overview of their multiple combinations

Towards intelligible graph data visualization using circular layout

Polar coordinates have been widely used in various techniques of interactive data visualization. The spatial organization through circular and radial layouts is implemented in a wide range of statistical charts and plots and is applicable for space-flling techniques and for node-link-group diagrams. Different arrangements of dots, lines and areas in polar coordinates create grids for data distribution, aggregation and linking. This work is devoted to the study of visual notations of data and their relationships and proposes an outline of their application in designing node-link-group diagrams, in order to arrange the geometric solutions at functional and logical levels of the visual representation

Design guidelines for correlated quantitative data visualizations

Various visualization techniques for correlated multiple quantitative data sets, which allow a researcher to explore a character of content, are fairly common tools in the visual analysis. The available methods and techniques for a displaying of different diagram types, are suitable for a partial solution to this kind of a practical problem. This paper represents an overview for some existing tools and techniques, regarding the quantitative data visualization. As a key part of the paper, the design guidelines for a visual construction of correlated quantitative data values, which are mostly applicable for interactive techniques, are presented. © 2012 Authors