Abstract

AbstractVisualization is a form of communication. Visual Story Telling (VST) is a visual perception of the data. An informed decision about the situation can be made through an effective communication with the data. Understanding the context, selecting the right tool to display, right selection of data visualization by removing redundancy, orientation, and focus are important for data visualization. Visual forms such as charts, graphs, color, maps, bars, statistics are typically applied to describe the data. Such visual representation can be enhanced by using graphics, music, voice, different forms of audio, video, text and sound. Human processes information using the perceptual ability of vision, even before the complex cognitive processes of the human mind come into play. When we talk about grasping the information, the human visual perception is stronger than the information reception only. Visual analytics (VA) can be seen as a bridge between cognition and perception. This means the VA helps in understanding complex ideas, their relationships, compositions, distributions, comparisons, finds information that otherwise might remain hidden in the data and present them using different graphics or visual forms. The Visual Story Telling applies concepts on classification, clustering, dimensionality reduction, regression; information exploration and statistical computations. In this chapter, VA, VST, and data analysis are briefly introduced. These fields are interrelated.

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