{"title":"Virtual Reality in Visual Analytics of Large Datasets","authors":"Sameera Khan","doi":"10.4018/978-1-5225-9031-6.CH012","DOIUrl":null,"url":null,"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.","PeriodicalId":384539,"journal":{"name":"Cognitive Computing in Technology-Enhanced Learning","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Computing in Technology-Enhanced Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-9031-6.CH012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.