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Introduction to Shiny app in R

Introduction to Shiny app in R

Shiny apps are web applications that react to user input and provide a visual representation of datasets. They are a great way to make large datasets more accessible to the public and share research findings.

In this workshop, you will learn what Shiny apps are and when it is appropriate to use them. Then, you will learn about the structure of Shiny apps before building a Shiny app from a minimal skeleton structure in R. The main goal of this workshop is to provide hands on experience building a Shiny app to help set you up to build your own!

The workshop is followed by an optional practice period to reinforce what you learned or consult with the instructors. Workshop materials are available at https://ubc-library-rc.github.io/intro_shiny_app/

To participate fully you will need to install the latest versions of R and RStudio on your computer before the workshop:

 

About this workshop series

Introduction to Shiny app in R is one of several R workshops offered by the UBC Library Research Commons. Each session introduces a particular task or application in R, followed by an optional practice period with support from the instructors. The goal of the series is to introduce participants to the data analysis and visualization potential of R and to encourage further self-paced exploration. 

Other workshops in the series offered this term are:

If you have any questions, concerns or accessibility needs please email research.commons@ubc.ca To keep up-to-date with all of the workshops, consults, and events, subscribe to the UBC Library Research Commons monthly newsletter.

This event is online. Registrants receive the link 24 hours before the event. Registration closes at the same time.
Date:
Thursday, March 26, 2026
Time:
1:00pm - 2:00pm
Audience:
  All     Graduate  
Categories:
  Data     Research Commons  
Presenter(s):
Grigory Artazyan, Jeremy Buhler

Registration is required. There are 95 seats available.

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Presenter(s)

Grigory Artazyan, Jeremy Buhler

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