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rstudio::conf(2022)

Tyson Barrett

Highmark Health
Manager Research Analytics

Contact Me

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Good practices for applied machine learning - from model development to model deployment 0. Potomac A+B

11:00am EDT

censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

R, Python, and Tableau: A Love Triangle 1. Potomac C tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Packages and Process 3. Cherry Blossom Building a client portal app for a mortgage management group with embedded Power BI reports 1. Potomac C Demystifying MLOps 2. Potomac D

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

Making Data Pipelines in R: A Story From A “Self-Taught” Perspective 4. National Harbor 10+11 Remote Content Execution with RStudio Connect and Kubernetes 2. Potomac D

1:50pm EDT

Garbage Data, And What To Do About Them 4. National Harbor 10+11

2:10pm EDT

R Shiny - From Conception to the Cloud 2. Potomac D

2:30pm EDT

R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring 4. National Harbor 10+11

3:20pm EDT

Quarto for the Curious 1. Potomac C

3:40pm EDT

Sometimes you just need words 1. Potomac C Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

What they forgot to teach you about industry transitions from academia (WTF AITA) 3. Cherry Blossom dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11 Highlights of the knitr package from the past two years 1. Potomac C The tidysynthesis R package 2. Potomac D

4:30pm EDT

The Past and Future of Shiny 0. Potomac A+B

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Hello Quarto: Share • Collaborate • Teach • Reimagine 0. Potomac A+B

10:30am EDT

I made an entire e-commerce platform on Shiny 4. National Harbor 10+11 Exploratory Spatial Data Analysis in the tidyverse 2. Potomac D

10:35am EDT

WebR: R compiled for WebAssembly and running in the browser 2. Potomac D

10:40am EDT

It's about time 2. Potomac D

10:45am EDT

Let your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsive 2. Potomac D

10:50am EDT

How to be a pollinatoR 3. Cherry Blossom Accelerating geospatial computing using Apache Arrow 2. Potomac D

11:10am EDT

leafdown: Interactive multi-layer maps in Shiny apps 2. Potomac D

11:15am EDT

Say Hello! to Multilingual Shiny Apps 2. Potomac D

11:20am EDT

Let's start at the beginning - bits to character encoding in R 2. Potomac D

11:25am EDT

Implications of R syntax in intro stats 2. Potomac D

11:30am EDT

Running Shiny without a server 1. Potomac C

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

A new way to build your Shiny app's UI 2. Potomac D

1:50pm EDT

Designing for people is hard 2. Potomac D

2:10pm EDT

You should be using renv 4. National Harbor 10+11 Creating a Design System for Shiny and RMarkdown 2. Potomac D

2:30pm EDT

Small Team Large Organization: Building Impactful Shiny Dashboards at NIH 4. National Harbor 10+11

3:20pm EDT

Cracking open ggplot internals with {ggtrace} 4. National Harbor 10+11 These are a few of my favorite things (about Quarto presentations) 1. Potomac C Introducing Rhino: Shiny application framework for enterprise 2. Potomac D

3:40pm EDT

Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R 3. Cherry Blossom A Robust Framework for Automated Shiny App Testing 2. Potomac D

4:00pm EDT

An introduction to R7 4. National Harbor 10+11 {shinytest2}: Regression testing for Shiny applications 2. Potomac D

4:30pm EDT

Data science training in communities with limited technology resources and opportunities 0. Potomac A+B