Reproducible Academic Writing and Interactive Data Visualization Using R Markdown (R Programming Flex-Dashboard: Flex_Dashboard Packages)

Abstract

In the computer world, there was a wide range of text editors available. Normally many researchers don’t wish to use the latest editor, however, markdown is the common plain text editor for a wide variety of compatible applications for the common model for large academic writing projects. There is a wide research gap between the academics’ choices for designing the common design framework for PowerPoint, Word document, HTML, PDF, PPT, and much other design that is always required for academician’s daily life and interactive data presentation on web site. Here the researcher designs a web application with interactive HDI functionality, visualization of the data of the literacy index of Nepal, and published on (http://rpubs.com/yagyarimal/556607) with the help of R markdown and flex-dashboard package available in R programming. The first page with interactive HDI, literacy data set with the description of the administrative map of the federal structure of Nepal on the second page. In the first page, the bar chart, the pie chart, the HDI, and the literacy rate and the description of the districts by province of Nepal are shown using dynamic interactive features of different data visualization, and the second page describes the maps of Nepal using shapefile and presents HDI, literacy, and poverty of the country based on the United Nations development datasets of country. The third page describes the page of interactive data visualization of the interactive data table and pivot table, and the final page describes the result of any command for the design report and the author. This type of web hosting with interactive data visualization is another significant feature of programming R and markdown. Therefore, markdown has a better structure for academic writing in various types of presentation from the common plain text for all. Likewise, the markdown has been packaged in the programming R has the advanced functionality of designing interactive data visualization features is available on http://rpubs.com/yagyarimal/556607 and https://github.com/yagyarimal/datavisualization for data source file download.