Relationship types in visual analytics

Abstract

Visual analytics are practically an application of the task of transforming the data into meaningful and reliable information in order to synthesize the knowledge about the data. Recently, organizations collect large data with aim of extracting useful information for organizational usage for better decision making. When the organization have a large and complex information, it leads to more complex relationship between the variables in the data. As a consequence, the visual analytics representation must be able to show, visualize and handle for more complex relationship of data. However, the research found the lack of relationship research in current visual analytics that lead difficulties to guide and design new relationship representation. Thus, this research aim to recognize, discover and categorize relationships types of visual analytics in representing a set of analytical data. Design Science Research Methodology has been used as research method for this study. It consists of two activities which are i). identify the visual analytic relationship context and its challenge and ii). analysis of relationship in visual analytics representation. At the end, this study is expected to identify and categorize the visual analytics representation according to six relationship types. This identification can help the visual analytics community to understand the primary and basic concept of relationship representation as a guidelines and knowledge for more comprehensive research in the future.