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Track Cherry Blossom
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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
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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Nergis Zaim
Apple Inc.
Senior Data Scientist
Cupertino
Monday
, July 25
9:00am EDT
Package Development Masterclass
Chesapeake G+H+I
11:00am EDT
Package Development Masterclass
Chesapeake G+H+I
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
Package Development Masterclass
Chesapeake G+H+I
3:30pm EDT
Package Development Masterclass
Chesapeake G+H+I
5:30pm EDT
Book Signing Reception
3. Cherry Blossom
Tuesday
, July 26
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
Package Development Masterclass
Chesapeake G+H+I
11:00am EDT
Package Development Masterclass
Chesapeake G+H+I
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
Package Development Masterclass
Chesapeake G+H+I
3:30pm EDT
Package Development Masterclass
Chesapeake G+H+I
5:30pm EDT
Welcome Reception
6. Riverview Ballroom
Wednesday
, July 27
7:30am EDT
Breakfast
5. Maryland
11:00am EDT
censored - Survival Analysis in tidymodels
2. Potomac D
11:20am EDT
R, Python, and Tableau: A Love Triangle
1. Potomac C
tidyclust - expanding tidymodels to clustering
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
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
2:10pm EDT
An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect
3. Cherry Blossom
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
3:20pm EDT
Quarto for the Curious
1. Potomac C
3:40pm EDT
Introducing workboots: Generate prediction intervals from tidymodel workflows
2. Potomac D
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
Thursday
, July 28
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:30am EDT
I made an entire e-commerce platform on Shiny
4. National Harbor 10+11
11:00am EDT
Making awesome automations with GitHub Actions
2. Potomac D
11:15am EDT
Say Hello! to Multilingual Shiny Apps
2. Potomac D
11:30am EDT
Running Shiny without a server
1. Potomac C
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
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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Jul 25
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Gaylord National, Forest Heights, MD, USA
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Chesapeake G+H+I
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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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