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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 Power
American Airlines
Senior Data Scientist
Dallas-Fort Worth, Texas
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
The R integration in Power BI: Why R developers should be Interested
1. Potomac C
11:20am EDT
R, Python, and Tableau: A Love Triangle
1. Potomac C
11:40am EDT
Demystifying MLOps
2. Potomac D
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
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
Introducing workboots: Generate prediction intervals from tidymodel workflows
2. Potomac D
4:00pm EDT
dbcooper: Turn any database into an R or Python package
4. National Harbor 10+11
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
5:30pm EDT
Birds of a Feather Happy Hour - Industry Groups
Chesapeake
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
10:30am EDT
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
Accelerating geospatial computing using Apache Arrow
2. Potomac D
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
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
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
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
2:30pm EDT
Dashboard-Builder: Building Shiny Apps without writing any code
2. Potomac D
3:20pm EDT
Introducing Rhino: Shiny application framework for enterprise
2. Potomac D
3:40pm EDT
A Robust Framework for Automated Shiny App Testing
2. Potomac D
4:00pm EDT
An introduction to R7
4. National Harbor 10+11
4:30pm EDT
Data science training in communities with limited technology resources and opportunities
0. Potomac A+B
5:30pm EDT
R-Ladies Reception
Maryland 1, 2, & 3
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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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, July 27
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, July 28
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Gaylord National, Forest Heights, MD, USA
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5. Maryland
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7. Orchard Terrace
Chesapeake
Chesapeake 4+5+6
Chesapeake 9
Chesapeake D
Chesapeake E
Chesapeake F
Chesapeake G+H+I
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Maryland 1, 2, & 3
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Maryland 3
Maryland 4+5
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
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Kirill Müller
Ariel Deardorff
Federica Gazzelloni
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