e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Visual statistic preparation and interactive graph mining:in R using packages iplots
Authors : Shahin Zafar, Suraiya Parween
Keywords : data visualization, visual data preparation, interactive graphs and techniques (iplots)
Issue Date : May 2017.
Abstract :
Due to the high availability of visualization techniques it is so important to select the right one, by which researcher can convey the maximum benefits. We can say data visualization is the graphical representation of image data, which tells about the acquisition or knowledge of those image data. In the context of big data, visualization is one of the challenging problem faced by the researcher and analyst but the right and propitious selection of data for visualization is considerable for monitoring the experimental result this paper is using various terminology and techniques focusing about the visual statistic process and how visualization technique is implemented in R using packages “iplots” and there is also some pros. and cons. between different statistical tools and comparison.
Page(s) : 235-241
ISSN : 0975–3397
Source : Vol. 9, Issue.05

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