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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
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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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Wednesday
, July 27
11:00am EDT
Translating from {tidymodels} and scikit-learn: Lessons from a 'bilingual' course.
4. National Harbor 10+11
The R integration in Power BI: Why R developers should be Interested
1. Potomac C
11:20am EDT
Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile.
4. National Harbor 10+11
R, Python, and Tableau: A Love Triangle
1. Potomac C
11:40am EDT
Building a client portal app for a mortgage management group with embedded Power BI reports
1. Potomac C
Demystifying MLOps
2. Potomac D
1:30pm EDT
How Anchorage Built Alaska’s Vaccine Finder with R
3. Cherry Blossom
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
Advocating for Automation: Adapting Current Tools in Environmental Science through R
1. Potomac C
2:30pm EDT
Robust R Deployments: Building a Pipeline from RStudio to Production
2. Potomac D
3:40pm EDT
dm: Analyze, build and deploy relational data models
4. National Harbor 10+11
Sometimes you just need words
1. Potomac C
4:00pm EDT
dbcooper: Turn any database into an R or Python package
4. National Harbor 10+11
Thursday
, July 28
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:30am EDT
Developing internal tools for multi-lingual teams
1. Potomac C
10:35am EDT
WebR: R compiled for WebAssembly and running in the browser
2. Potomac D
10:50am EDT
Accelerating geospatial computing using Apache Arrow
2. Potomac D
How to be a pollinatoR
3. Cherry Blossom
Achieving a seamless workflow between R, Python and SAS from within RStudio
1. Potomac C
11:10am EDT
A touch of R in Robotics
4. National Harbor 10+11
Yes, you can use Python with RStudio Team!
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
Cultivating Your Own R Ecosystem as a Solo Contributor
4. National Harbor 10+11
Model Migration: from Excel to R
1. Potomac C
1:50pm EDT
Tidy Transit: Real Life Data Modeling for Public Transportation
1. Potomac C
3:40pm EDT
Literate Programming With Jupyter Notebooks and 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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National Harbor 12+13
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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
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Douglas Rao
Rachel Saidi
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Monday
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1. Potomac C
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3. Cherry Blossom
4. National Harbor 10+11
5. Maryland
6. Riverview Ballroom
7. Orchard Terrace
Chesapeake
Chesapeake 4+5+6
Chesapeake 9
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Chesapeake E
Chesapeake F
Chesapeake G+H+I
Maryland 1
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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
Session 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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Popular