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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
Popular
Back to Speakers
Brian Deitte
RStudio
Director of Engineer, RSPM and Platform
Contact Me
on Twitter
on LinkedIn
Tuesday
, July 26
5:30pm EDT
Welcome Reception
6. Riverview Ballroom
Wednesday
, July 27
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
R Package Assessment: Lessons from Pharma
3. Cherry Blossom
12:00pm EDT
Lunch
5. Maryland
1:30pm EDT
Remote Content Execution with RStudio Connect and Kubernetes
2. Potomac D
1:50pm EDT
Scaling and automating R workflows with Kubernetes and Airflow
3. Cherry Blossom
2:10pm EDT
An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect
3. Cherry Blossom
2:30pm EDT
Robust R Deployments: Building a Pipeline from RStudio to Production
2. Potomac D
3:20pm EDT
Quarto for the Curious
1. Potomac C
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
6:00pm EDT
Evening Dinner & Activities
7. Orchard Terrace
Thursday
, July 28
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
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
The worlds smallest R environment? Running R on a $15 computer
4. National Harbor 10+11
10:55am EDT
Zero-setup R workshops with GitHub Codespaces
2. Potomac D
11:00am EDT
Making awesome automations with GitHub Actions
2. Potomac D
11:05am EDT
{shinyslack}: Connecting Slack Teams to Shiny Apps
2. Potomac D
11:10am EDT
Yes, you can use Python with RStudio Team!
1. Potomac C
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
11:35am EDT
Visualizing distributions and uncertainty using ggdist
2. Potomac D
11:40am EDT
The Future of missing data
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
2:10pm EDT
You should be using renv
4. National Harbor 10+11
Timezone
rstudio::conf(2022)
America/New York
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rstudio::conf(2022)
Jul 25
-
28, 2022
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, July 25
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, July 27
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, July 28
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Gaylord National, Forest Heights, MD, USA
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0. Potomac A+B
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5. Maryland
6. Riverview Ballroom
7. Orchard Terrace
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Chesapeake 4+5+6
Chesapeake 9
Chesapeake D
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Chesapeake G+H+I
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Maryland 1, 2, & 3
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Maryland 3
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Maryland 4, 5, & 6
Maryland 6
National Harbor 12+13
National Harbor 2
National Harbor 3
National Harbor 4+5
National Harbor 6+7
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
Popular
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MM
Michael Marchetti
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