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Difference between revisions of "Visual Analytics"

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== What is meant by visual analytics? ==
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Visual analytics is the use of sophisticated tools and processes to analyze datasets using visual representations of the data. Visualizing the data in graphs, charts, and maps helps users identify patterns and thereby develop actionable insights. These insights help organizations make better, data-driven decisions. It is an outgrowth of the fields of information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces.[<ref>[https://www.qlik.com/us/data-visualization/visual-analytics Visual Analytics: What it is and Why it's Important. - Qlik]</ref><ref>[https://en.wikipedia.org/wiki/Visual_analytics Visual analytics]</ref>
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The visual analytics process typically follows the same steps: data transformation, data mapping, contribution selecting, ranking, interaction, model visualization, and knowledge processing.<ref>[https://www.heavy.ai/technical-glossary/visual-analytics What is Visual Analytics? Definition and FAQs -HEAVY.AI]</ref>
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==See Also==
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*[[Advanced Analytics]]
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*[[Big Data]]
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==References==
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<references />

Revision as of 17:16, 16 December 2022

What is meant by visual analytics?

Visual analytics is the use of sophisticated tools and processes to analyze datasets using visual representations of the data. Visualizing the data in graphs, charts, and maps helps users identify patterns and thereby develop actionable insights. These insights help organizations make better, data-driven decisions. It is an outgrowth of the fields of information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces.[[1][2]

The visual analytics process typically follows the same steps: data transformation, data mapping, contribution selecting, ranking, interaction, model visualization, and knowledge processing.[3]




See Also



References