Data Visualization in R

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Author(s): S. R. Mani Sekhar (M. S. Ramaiah Institute of Technology, India), Siddesh G. M. (M. S. Ramaiah Institute of Technology, India)and Sunilkumar S. Manvi (REVA University, India)
Copyright: 2019
Pages: 18
Source title: Sentiment Analysis and Knowledge Discovery in Contemporary Business
Source Author(s)/Editor(s): Dharmendra Singh Rajput (VIT University, India), Ramjeevan Singh Thakur (Maulana Azad National Institute of Technology, India)and S. Muzamil Basha (VIT University, India)
DOI: 10.4018/978-1-5225-4999-4.ch012

Keywords: Business and Organizational Research / Business Science Reference / Knowledge Discovery / Library & Information Science

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Abstract

Data visualization helps the users to understand the relationships and associations between information. Visualization helps in minimizing the errors generated during decision making. Different visualization methods have been developed to unlock the valuable insight. These methods have been developed on the supposition that the information to be present is free from ambiguity. This chapter provides an overview of data visualization techniques in R programming. Various methods have been discussed with supported explanation and examples which in turn helps the reader to create their own visualization method. Later, four different case studies are presented to understand the importance and use of data visualization in real-world problems.

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