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Keynote
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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
Workshop
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Michael Thomson
Flatiron Health
Quantitative Sciences
San Francisco
Monday
, July 25
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
How Data Science with R Works for Systems Administrators
Maryland 6
11:00am EDT
How Data Science with R Works for Systems Administrators
Maryland 6
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
How Data Science with R Works for Systems Administrators
Maryland 6
3:30pm EDT
How Data Science with R Works for Systems Administrators
Maryland 6
5:30pm EDT
Book Signing Reception
3. Cherry Blossom
Tuesday
, July 26
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
How Data Science with R Works for Systems Administrators
Maryland 6
11:00am EDT
How Data Science with R Works for Systems Administrators
Maryland 6
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
How Data Science with R Works for Systems Administrators
Maryland 6
3:30pm EDT
How Data Science with R Works for Systems Administrators
Maryland 6
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
11:20am EDT
Dive Deep into Metadata with Tplyr
3. Cherry Blossom
R, Python, and Tableau: A Love Triangle
1. Potomac C
11:40am EDT
Packages and Process
3. Cherry Blossom
12:00pm EDT
Lunch
5. Maryland
Pharma / Life Sciences - Birds of a Feather
Maryland 1, 2, & 3
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
Scaling and automating R workflows with Kubernetes and Airflow
3. Cherry Blossom
Data science in your customers hands on a budget and a deadline: Publishing Customer Facing Products with RStudio Connect
2. Potomac D
2:10pm EDT
An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect
3. Cherry Blossom
2:30pm EDT
Saving 1,000 hours with RStudio: selling R in your workplace
1. Potomac C
Robust R Deployments: Building a Pipeline from RStudio to Production
2. Potomac D
3:20pm EDT
What they forgot to teach you about starting a business with R
3. Cherry Blossom
Quarto for the Curious
1. Potomac C
3:40pm EDT
What they forgot to teach you about becoming an open source contributor
3. Cherry Blossom
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
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
Developing internal tools for multi-lingual teams
1. Potomac C
10:50am EDT
How to be a pollinatoR
3. Cherry Blossom
Achieving a seamless workflow between R, Python and SAS from within RStudio
1. Potomac C
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
11:10am EDT
Enterprise-Level Data Science Success
3. Cherry Blossom
Yes, you can use Python with RStudio Team!
1. Potomac C
11:30am EDT
An Introduction to the Apple Health Export
4. National Harbor 10+11
12:00pm EDT
Birds of a Feather - UseR Group Organizers
Maryland 4, 5, & 6
1:30pm EDT
A Journey to Data Science: Tools for Equity and Diversity in STEM
3. Cherry Blossom
1:50pm EDT
Building Accessible Lessons with R and Friends
3. Cherry Blossom
Demystifying the art of creating custom libraries for your organization
4. National Harbor 10+11
2:10pm EDT
You should be using renv
4. National Harbor 10+11
2:30pm EDT
Save an ocean of time: streamline data wrangling with R
1. Potomac C
3:20pm EDT
Introducing Rhino: Shiny application framework for enterprise
2. Potomac D
3:40pm EDT
From summarizing projects to setting tags, uses of parsing R files
4. National Harbor 10+11
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
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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 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
Chesapeake
Chesapeake 4+5+6
Chesapeake 9
Chesapeake D
Chesapeake E
Chesapeake F
Chesapeake G+H+I
Maryland 1
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
Colin Gillespie
RN
Ron Neimark
Ariel Deardorff
test
Federica Gazzelloni
Rob Hyndman
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