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Activity Number: 27 - SPEED: Statistical Learning and Data Challenge Part 1
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #320742
Title: Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses
Author(s): Xuemao Zhang*
Companies: East Stroudsburg University
Keywords: Introductory statistics; R; Shiny; web app
Abstract:

Programming is the key component of reproducible data analysis. R (https://cran.r-project.org/) is one of the top programming languages in data science which can implement a wide variety of statistical and graphical techniques. 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. Students can learn the programming language R without coding with this web app on any web browser. In this presentation, the features of the web application Rstats will be described. How the web app was applied in a GE statistics class will be illustrated by several examples.


Authors who are presenting talks have a * after their name.

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