2021Unpublished venueRequires access

Overview of information visualization for business under the background of big data

Yan Wang, Zihao Zhao, Hang Li

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Abstract

In the era of data explosion, the data is growing exponentially. Information visualization maps abstract data into visual effects, and helps people to understand the market and make efficient decisions in an intuitive way, which has attracted more and more attention.This paper focuses on the field of information visualization, studies the theoretical basis of visualization models, research methods and design principles, expounds commercial application cases of information visualization, and presents the challenges and opportunities of the information visualization.

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What this paper is about

In the era of data explosion, the data is growing exponentially. Information visualization maps abstract data into visual effects, and helps people to understand the market and make efficient decisions in an intuitive way, which has attracted more and more attention.This paper focuses on the field of information visualization, studies the theoretical basis of visualization models, research methods and design principles, expounds commercial application cases of information visualization, and presents the challenges and opportunities of the information visualization.

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Available abstract

In the era of data explosion, the data is growing exponentially. Information visualization maps abstract data into visual effects, and helps people to understand the market and make efficient decisions in an intuitive way, which has attracted more and more attention.This paper focuses on the field of information visualization, studies the theoretical basis of visualization models, research methods and design principles, expounds commercial application cases of information visualization, and presents the challenges and opportunities of the information visualization.

Key concepts: Visualization, Information visualization, Computer science, Data science, Visual analytics, Data visualization, Field (mathematics), Big data

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