An Introduction to R Shiny Application

R Shiny is a platform which allows to utilize all the features of R programming for creating an interactive web application (App). Web application development is recently becoming popular due to several respects. For instance, the interactive nature of a web application allows us to visualize and/or analyze real-time (or dynamic) data. Popular examples include real-time monitoring of utility usage, online updating of dynamic models, weather forecasting, etc. Simple sharing of an R Shiny App via a local or shiny server helps disseminate our work to a larger audience, which can eventually improve the impact of the work. We can also use R Shiny App as an attractive tool for educational and teaching purposes.

The goal of this workshop is to teach the basic skeleton of developing an R Shiny App. Knowledge about R is preferred, however, basic programming knowledge would be okay to participate in this workshop. This workshop will show the basic syntax structure and will demonstrate reproducible examples of R Shiny Apps. At the end of the workshop, an example of our recent development will be displayed with the audience.

Resource Person’s Biography:

Md. Tuhin Sheikh is a Lecturer of Applied Statistics at the University of Dhaka. Currently, he is pursuing his Ph.D. in Statistics at the University of Connecticut (UConn). He worked as a Biostatistics and Data Science Intern at the Boehringer Ingelheim in Summer 2020. His research areas of interest include competing risks survival data, Bayesian computation, joint modelling of longitudinal and survival data, model assessment, interim analysis, deep neural network, etc. He has experience as a research assistant with the UNCCH-UConn research group, UConn School of Nursing and, UConn Utility Operations and Energy Management. He has also experience in teaching undergraduate level Statistics courses and conducting workshops at international conferences. He has been awarded for his academic excellence in teaching.