Exploring Medical Data Science with R

Exploring Medical Data Science with R

Foundations

Sec.1-Ch.3-Subsec.9:Creating Interactive Data Reports with R Markdown and Shiny

Combine R’s Analytical Power with Dynamic Web Interfaces for Real-Time Data Visualization and Analysis

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Dr. Xie YJ
Feb 11, 2026
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R is one of the most widely used programming languages in the field of data science. Its strengths lie not only in data analysis capabilities, but also in its powerful visualization and report generation features. In the data analysis process, generating reports, presenting results, and sharing outcomes with others are essential tasks. Shiny is an R package for building interactive web applications. It combines the analytical power of R with dynamic and interactive web interfaces, allowing users to interact with data and update results in real time.

In this article, we explore how to use R Markdown together with Shiny to create data reports and interactive applications. Through practical examples, readers will learn how to combine static reports with dynamic applications to create data products that are both visually appealing and highly practical.


Overview and Applications of Shiny

In R scripts, Shiny is typically used to build full interactive web applications. Users run the script to start a server and interact with a standalone webpage.

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