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Census Data Analysis and Visualization Using R Tool: A Case Study

Census Data Analysis and Visualization Using R Tool: A Case Study

Veena Gadad, Sowmyarani C. N.
Copyright: © 2019 |Pages: 25
ISBN13: 9781522572770|ISBN10: 1522572775|ISBN13 Softcover: 9781522588597|EISBN13: 9781522572787
DOI: 10.4018/978-1-5225-7277-0.ch008
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MLA

Gadad, Veena, and Sowmyarani C. N. "Census Data Analysis and Visualization Using R Tool: A Case Study." Managerial Perspectives on Intelligent Big Data Analytics, edited by Zhaohao Sun, IGI Global, 2019, pp. 137-161. https://doi.org/10.4018/978-1-5225-7277-0.ch008

APA

Gadad, V. & N., S. C. (2019). Census Data Analysis and Visualization Using R Tool: A Case Study. In Z. Sun (Ed.), Managerial Perspectives on Intelligent Big Data Analytics (pp. 137-161). IGI Global. https://doi.org/10.4018/978-1-5225-7277-0.ch008

Chicago

Gadad, Veena, and Sowmyarani C. N. "Census Data Analysis and Visualization Using R Tool: A Case Study." In Managerial Perspectives on Intelligent Big Data Analytics, edited by Zhaohao Sun, 137-161. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7277-0.ch008

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Abstract

As a result of increased usage of internet, a huge amount of data is collected from variety of sources like surveys, census, and sensors in internet of things. This resultant data is coined as big data and analysis of this leads to major decision making. Since the collected data is in raw form, it is difficult to understand inherent properties and it becomes just a liability if not analyzed, summarized, and visualized. Although text can be used to articulate the relation between facts and to explain the findings, presenting it in the form of tables and graphs conveys information effectively. Presentation of data using tools to create visual images in order to gain more insights into data is called as data visualization. Data analysis is processing and interpretation of data to discover useful information and to deduce certain inferences based on the values. This chapter concerns usage of R tool and understanding its effectiveness for data analysis and intelligent data visualization by experimenting on data set obtained from University of California Irvine Machine Learning Repository.

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