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Wednesday, September 21 • 10:30am - 12:00pm
22X053: Shiny App for Sharing Science

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Workshop materials are embedded in this website, and we've created a separate repository for example apps in R scripts so that they are easier to run for you! If you're not a GitHub user, you can download all the example apps by clicking here.

Abstract: Shiny applications are a powerful way to let users explore scientific data in a curated environment. Shiny is a flexible platform that allows users to create both intricate apps and simple interfaces for sharing data with collaborators. After this workshop, attendees will be able to (1) define the fundamental structure of a Shiny app, (2) implement different user interface elements, (3) write and format useful labels and headers, and (4) learn to partition Shiny app components to create clean, concise, and easy-to-navigate apps. Workshop participants follow a guided coding session to create a demo shiny app, with an emphasis on creating an app to share and interact with scientific data. We will leverage pre-written “example apps” to facilitate attendees writing their own apps. Please bring a laptop computer. There will also be time set aside throughout the workshop to discuss issues and share best practices so whether you’re a veteran Shiny user or have neer heard of it, we welcome your participation.

Lead Organizer
avatar for Nick Lyon

Nick Lyon

Data Analyst, LTER Network Office
Check out my bio on my website for more information: https://njlyon0.github.io/

Speakers
avatar for Gabe de la Rosa

Gabe de la Rosa

Digital Communications Coordinator, LTER Network Office


Wednesday September 21, 2022 10:30am - 12:00pm PDT
06. Heather Meeting Room