Virtual Reality in Visual Analytics of Large Datasets

Sameera Khan
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Abstract

Visual analytics can be defined as a representation of data in form of diagrams, charts, pictures, graphs, etc., whereas virtual reality is a term used for the simulated interactive environment that exploits multiple sense organs of human beings to perceive information. Both of these techniques are merged to create an interactive environment for data visualization and analysis. Often it happens that a large volume of data is complex to represent, so to represent large, congested, and complex data in a manageable and comprehensive form, visual analytics is the need of an hour. The chapter discusses the scope of visual analytics, the role of virtual reality in visual analytics, challenges in VA using VR, tools used to implement it, use, and applications.
虚拟现实在大数据集可视化分析中的应用
视觉分析可以定义为以图表、图表、图片、图形等形式表示数据,而虚拟现实是利用人类多个感觉器官感知信息的模拟交互环境的术语。将这两种技术合并起来,创建一个用于数据可视化和分析的交互式环境。通常情况下,大量数据的表示非常复杂,因此,为了以可管理和全面的形式表示大量、拥挤和复杂的数据,可视化分析需要一个小时。本章讨论了视觉分析的范围,虚拟现实在视觉分析中的作用,使用VR的VA的挑战,用于实现它的工具,使用和应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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