Programming or coding plays a crucial role in ensuring reproducibility in data analysis. Among the various programming languages in the field of data science, R stands out as a powerful tool capable of implementing a diverse range of statistical and graphical techniques. Unfortunately, in general education, lots of non-computing majors do not take a typical programming course due to their fear of the command line. A web app Rstats (http://esumath.shinyapps.io/rstats) was developed to promote students’ interest in R programming while learning introductory statistics, irrespective of their coding background. The web app provides a user-friendly point-and-click interface for data analysis, allowing students to explore statistical concepts without having to write code directly. But reproducible R code for the data analysis will be generated and displayed in the web app. Thus students can learn the programming language R during data analysis with the web app. By removing the intimidation associated with coding features, the web app aims to engage a broader audience in the realm of data and information. Source code of the app is provided for instructors who wish to deploy the web app to their own server. The features of the web app are described in detail and how the web app was applied to a GE statistical data analysis is discussed.
Xuemao Zhang (Wed,) studied this question.
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