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Track Cherry Blossom
All
Drugs not bugs: effective use of R in pharma
Eye candy: surprising and delightful uses of R
It takes a village: building communities of practice
Rapidly responding to world events with R
What they forgot to teach you about your career
Working with people is hard
Track National Harbor 10+11
All
Databases
Generating high quality data
Just typing R code: advanced R programming
Teaching data science
Unexpected uses of R
Working with code is hard
Track Potomac C
All
Business intelligence
Cat herding: solving big problems by bringing people together
Quarto deep dive
RMarkdown and Quarto
Some of my best friends use Python
Take a sad process and make it better: project and process makeovers
Track Potomac D
All
Data science in production
I like big apps: shiny apps that scale
Machine learning
Pour some glitter on it: polishing the design of your shiny apps
Updates from the tidymodels team
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Kyle Grealis
University of Miami
Bioinformatics Analyst
Miami, FL
Contact Me
on LinkedIn
Wednesday
, July 27
9:00am EDT
Good practices for applied machine learning - from model development to model deployment
0. Potomac A+B
11:00am EDT
R Package Assessment: Lessons from Pharma
3. Cherry Blossom
2:10pm EDT
Project Immortality: Using GitHub To Make Your Work Live Forever
4. National Harbor 10+11
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
Introducing workboots: Generate prediction intervals from tidymodel workflows
2. Potomac D
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
Thursday
, July 28
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:40am EDT
It's about time
2. Potomac D
10:50am EDT
Achieving a seamless workflow between R, Python and SAS from within RStudio
1. Potomac C
11:15am EDT
Say Hello! to Multilingual Shiny Apps
2. Potomac D
11:30am EDT
An Introduction to the Apple Health Export
4. National Harbor 10+11
1:30pm EDT
A new way to build your Shiny app's UI
2. Potomac D
3:40pm EDT
Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
3. Cherry Blossom
4:00pm EDT
Websites & Books & Blogs, oh my! Creating Rich Content with Quarto
1. Potomac C
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rstudio::conf(2022)
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rstudio::conf(2022)
Jul 25
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28, 2022
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Gaylord National, Forest Heights, MD, USA
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Maryland 1, 2, & 3
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Maryland 6
National Harbor 12+13
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National Harbor 4+5
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Filter By Type
Keynote
Meal
Social
Track Cherry Blossom
All
Drugs not bugs: effective use of R in pharma
Eye candy: surprising and delightful uses of R
It takes a village: building communities of practice
Rapidly responding to world events with R
What they forgot to teach you about your career
Working with people is hard
Track National Harbor 10+11
All
Databases
Generating high quality data
Just typing R code: advanced R programming
Teaching data science
Unexpected uses of R
Working with code is hard
Track Potomac C
All
Business intelligence
Cat herding: solving big problems by bringing people together
Quarto deep dive
RMarkdown and Quarto
Some of my best friends use Python
Take a sad process and make it better: project and process makeovers
Track Potomac D
All
Data science in production
I like big apps: shiny apps that scale
Machine learning
Pour some glitter on it: polishing the design of your shiny apps
Updates from the tidymodels team
Workshop
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Devin Johnson
Douglas Rao
Erwin Lares
Julia Lowndes
Mike Mahoney
Cass Wilkinson Saldaña
Rachel Saidi
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