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An Introduction to Data Visualisation: An Overview of Visualizing Data

An Introduction to Data Visualisation: An Overview of Visualizing Data
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Author(s): Anil A. Pise (Siatik South Africa, South Africa)and Dharma Teja Singampalli (Sagility, India)
Copyright: 2023
Pages: 20
Source title: Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Aalborg University, Denmark), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch003

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Abstract

Data visualization is the process of producing interactive visualizations to study patterns and variances and extract useful insights from data. Any technique that enables the identification of insights inside a dataset is considered data visualization. A data analyst will assess a dataset and produce charts based on the results. Data visualizations consist of bar graphs, heat maps, world maps, and line graphs. Typically, data visualization is used for data verification and cleansing, exploration and discovery, and communicating business outcomes to important stakeholders. The vast majority of data scientists neglect visualizations and rely solely on frequently misleading numerical calculations. Thus, the proposed chapter has addressed the most prevalent data visualization approaches.

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