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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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Joseph Kahn
Novartis
Sr. Director, Pharmacometrics
NJ
Monday
, July 25
9:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
What They Forgot to Teach You About R
Chesapeake 4+5+6
11:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
What They Forgot to Teach You About R
Chesapeake 4+5+6
1:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
3:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
What They Forgot to Teach You About R
Chesapeake 4+5+6
Tuesday
, July 26
9:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
What They Forgot to Teach You About R
Chesapeake 4+5+6
11:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
What They Forgot to Teach You About R
Chesapeake 4+5+6
1:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
Clinical Reporting in R
Chesapeake D
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
Package Development Masterclass
Chesapeake G+H+I
R for People Analytics
Chesapeake E
What They Forgot to Teach You About R
Chesapeake 4+5+6
Wednesday
, July 27
11:00am EDT
R Package Assessment: Lessons from Pharma
3. Cherry Blossom
1:30pm EDT
Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
4. National Harbor 10+11
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
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
Robust R Deployments: Building a Pipeline from RStudio to Production
2. Potomac D
3:40pm EDT
Introducing workboots: Generate prediction intervals from tidymodel workflows
2. Potomac D
4:00pm EDT
The tidysynthesis R package
2. Potomac D
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
Thursday
, July 28
10:30am EDT
I made an entire e-commerce platform on Shiny
4. National Harbor 10+11
10:40am EDT
It's about time
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
Enterprise-Level Data Science Success
3. Cherry Blossom
11:30am EDT
Cross-Industry Anomaly Detection Solutions with R and Shiny
3. Cherry Blossom
11:35am EDT
Visualizing distributions and uncertainty using ggdist
2. Potomac D
1:50pm EDT
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
Creating a Design System for Shiny and RMarkdown
2. Potomac D
2:30pm EDT
Dashboard-Builder: Building Shiny Apps without writing any code
2. Potomac D
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rstudio::conf(2022)
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28, 2022
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Gaylord National, Forest Heights, MD, USA
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Chesapeake
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Chesapeake 9
Chesapeake D
Chesapeake E
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Chesapeake G+H+I
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Maryland 1, 2, & 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
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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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Federica Gazzelloni
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Kirill Müller
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