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Activity Number:
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72
- SPEED: Statistical Learning and Data Challenge Part 2
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Type:
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Contributed
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Date/Time:
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Sunday, August 7, 2022 : 4:00 PM to 4:45 PM
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Sponsor:
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Section on Statistics and Data Science Education
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Abstract #323724
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Title:
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Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses
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Author(s):
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Xuemao Zhang*
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Companies:
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East Stroudsburg University
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Keywords:
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Introductory statistics;
R;
Shiny;
web app
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Abstract:
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R (https://www.r-project.org/) is one of the top programming languages in data science which can implement a wide variety of statistical and graphical techniques. In general education, lots of non-computing majors do not take a typical programming course due to their fear of the command line which puts them at a technical disadvantage in the era of data and information. A web app Rstats (http://esumath.shinyapps.io/rstats) was developed to promote students’ interest in R coding while learning introductory statistics. The data analysis functionality is point-and-click, but reproducible R code for the data analysis will be generated by the web app. Thus students can learn this programming language without coding on any web browser and students uninterested in coding will not be intimidated by the features. 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 in this paper.
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Authors who are presenting talks have a * after their name.
