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http://dx.doi.org/10.7465/jkdi.2017.28.6.1279

Visualization analysis using R Shiny  

Na, Jonghwa (Department of Information and Statistics, Chungbuk National University)
Hwang, Eunji (Korea Health Industry Development Institute)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.6, 2017 , pp. 1279-1290 More about this Journal
Abstract
R's {shiny} package provides an environment for creating web applications with only R scripts. Shiny does not require knowledge of a separate web programming language and its development is very easy and straightforward. In addition, Shiny has a variety of extensibility, and its functions are expanding day by day. Therefore, the presentation of high-quality results is an excellent tool for R-based analysts. In this paper, we present actual cases of large data analysis using Shiny. First, geological anomaly zone is extracted by analyzing topographical data expressed in the form of contour lines by analysis related to spatial data. Next, we will construct a model to predict major diseases by 16 cities and provinces nationwide using weather, environment, and social media information. In this process, we want to show that Shiny is very effective for data visualization and analysis.
Keywords
Geological anomaly zone; negative binomial regression; shiny; visualization; web application;
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Times Cited By KSCI : 3  (Citation Analysis)
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