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What is Real-Time Dials and Gauges

Chapter 19
Handbook of Research on Big Data Storage and Visualization Techniques
They are unique data visualization techniques used for displaying data load and flow speed. They mostly use JavaScript API for the animation purpose.
Published in Chapter:
Statistical Visualization of Big Data Through Hadoop Streaming in RStudio
Chitresh Verma (Amity University, India) and Rajiv Pandey (Amity University, Lucknow, India)
Copyright: © 2018 |Pages: 29
DOI: 10.4018/978-1-5225-3142-5.ch019
Abstract
Data Visualization enables visual representation of the data set for interpretation of data in a meaningful manner from human perspective. The Statistical visualization calls for various tools, algorithms and techniques that can support and render graphical modeling. This chapter shall explore on the detailed features R and RStudio. The combination of Hadoop and R for the Big Data Analytics and its data visualization shall be demonstrated through appropriate code snippets. The integration perspective of R and Hadoop is explained in detail with the help of a utility called Hadoop streaming jar. The various R packages and their integration with Hadoop operations in the R environment are explained through suitable examples. The process of data streaming is provided using different readers of Hadoop streaming package. A case based statistical project is considered in which the data set is visualized after dual execution using the Hadoop MapReduce and R script.
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