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• W2894726535 abstract "Great amount of emerging data is creating many opportunities with data analysis, visual analytics etc on the top. Here I have explored the angle of how can we put big data into use. Big data can turn into trash if no significant information can be extracted out. So it needs to be presented & visualized in a manner that visuals can milk out most of it. Already in my previous accepted paper, I have discussed the conventional & novel approaches of data visualization & also the future scope of it. In this paper I am going to work upon the future scope proposed by me in my previous paper i.e. “interactive visualization’’. Only blindly showing a diagram sometimes may not be useful as it doesn’t reveal much of the facts. A proper analyzable pattern or an insight can be concluded if the visuals interact with the user. Also it is important that one should choose the right chart to the data to be analyzed. A set of right visualizations therefore helps in seeing various angles of the same topic & hence deriving various trends & results unknown to us. So a set of visuals used commonly & in latest corporate world has also been shown in this paper. An attempt has been made to propose a new feature of storytelling in this paper which is discussed in brief." @default.
• W2894726535 created "2018-10-12" @default.
• W2894726535 creator A5051338114 @default.
• W2894726535 creator A5088903387 @default.
• W2894726535 date "2018-02-01" @default.
• W2894726535 modified "2023-09-26" @default.
• W2894726535 title "3-D modelling of multidimensional & disparate data in visual analytics" @default.
• W2894726535 doi "https://doi.org/10.1109/ciact.2018.8480096" @default.
• W2894726535 hasPublicationYear "2018" @default.
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