Abstract:

This study examines the statistical application of the Shiny package by RStudio in the academic field. As an illustrative example, an application is developed to solve one of the most well-known statistical problems, the transportation problem. Firstly, the relevance of this work is emphasized: to facilitate the teaching process of statistics for students in non-statistics-related degrees and provide an additional R-learning tool for students studying for a statistics degree. Secondly, the Shiny package is described, including its functionalities and uses. Then, the structure of an application created with this package is detailed, covering both the user interface and the server components. Thirdly, the basic concepts of the transportation problem are introduced. In particular, the transportation model is defined. Various solution algorithms are mentioned, and three types of problems are described. Subsequently, examples of each problem type are solved using the lpSolve package in RStudio. Lastly, the application created to solve this particular type of problem is presented. Its structure and functionality are described in detail and the advantages of solving three previous examples using the application are demonstrated.

Keywords:

Shiny app, transport problem.