Categories
Data Analytics

R Shiny Tutorial

Are you interested in interactive applications in R? Then I can recommend to you the following tutorial on YouTube.

Once you’ve explored the YouTube tutorial, you might be eager to dive deeper into creating your own interactive applications using R Shiny. Whether you’re a statistician, data scientist, or a hobbyist looking to enhance your data presentations, R Shiny is an invaluable tool for creating web applications directly from R.

To help you get started, I’ve implemented an example of a basic R Shiny application on my webpage. This implementation showcases how to build a simple interactive dashboard that reacts to user inputs in real-time. You’ll learn how to structure your server and UI code, how to pass variables between the two, and how to deploy your application for others to enjoy.

Additionally, for those looking to advance their skills, the page includes links to more comprehensive resources and complex project examples. These resources will guide you through adding advanced features like reactive expressions, dynamic UI elements, and integrating external databases.

Whether you are a beginner or looking to refine your skills, this hands-on example will provide a solid foundation for building and deploying robust R Shiny applications. Dive in, experiment with the code, and see how you can transform your data analysis into interactive and user-friendly web applications. More examples of practical applications can be found on GitHub of the R Shiny project in RStudio.

Categories
Data Analytics

Data Analysis Projects

My recent projects can be found on my github page.

Categories
Data Analytics

Welcome to site of Data Science

Data Science is inspirational in these days. You can find data, data structures and various data processes in your ordinary life. Your grocery store is usually keeping its plans and orders in some structured format.