How to deploy a Shiny application using clinical trial data to Posit Connect

Episode 2: Publishing a Shiny application in R to Posit Connect - Using Clinical Trial Data
Led by: Ryan Johnson, Data Science Advisor
Follow-up links:
* Posit Team: posit.co/products/enterprise/...
* Talk to us directly: posit.co/schedule-a-call/?boo...
* Follow-along blog post: posit.co/blog/publishing-a-sh...
* Source code for example: github.com/ryjohnson09/adam_a...
* Posit Team demo resources: pos.it/demo-resources
Timestamps:
1:35 - High-level overview of Posit Team
3:30 - Overview of clinical trial data used
5:31 - Opening up RStudio session on Posit Workbench
7:51 - Creating a new directory in RStudio
9:16 - Upload the ADaM dataset to Posit Workbench
10:17 - Using packages from a validated repository on Posit Package Manager
12:37 - Install packages for your Shiny application
13:49 - Pasting the code for the Shiny application (github.com/ryjohnson09/adam_a...)
16:16 - Publishing your Shiny application to Posit Connect
18:36 - Changing access controls to published Shiny application
20:25 - Using renv to record your R environment
On the last Wednesday of every month, we host a Posit Team demo and Q&A session that is open to all. You can use this to add the event to your own calendar.
Who are these monthly demos for?
Everyone is welcome to join us - regardless of industry, background, or experience!
We will discuss topics that will speak to:
* Data scientists and administrators new to Posit Team or are looking to grow their understanding of our toolchain,
* Teams searching for a new analytic platform built to support open-source data science,
* And, those that are just curious about Posit Team!
What you can expect from the monthly Posit Team demo:
During the session, we will walk through an end-to-end data science workflow and demo the core functionality of Posit Team while highlighting some of our latest features!
While each session's content will vary slightly, here are a few core topics we will address each month:
* Open Source Analytics: The future of data science is open source. We'll discuss methods for leveraging open-source tools and packages in a secure and scalable way!
* Deployment: How to share the amazing data science assets your Team has built, including web applications, machine learning models, APIs, and more!
* Data Access: Data comes in various forms and is stored in various ways. We'll discuss best practices for accessing, reading, and writing data!
* Job Scheduling: Do you have recurring data science jobs? We'll show you how to automate these processes using Posit Connect.
What is Posit Team?
Posit Team is a bundle of our popular professional software (Posit Workbench, Posit Connect, and Posit Package Manager) for developing data science projects, publishing data products, and managing packages.
Registration is not required. The event will be streamed through KZbin Premiere.