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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
Popular
Back to Speakers
James Wade
Dow
Associate Research Scientist
Midland, MI, USA
jameshwade.com
Contact Me
on Twitter
on LinkedIn
My Friends
Monday
, July 25
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
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
Birds of a Feather - Variegated Groups
5. Maryland
9:00am EDT
Good practices for applied machine learning - from model development to model deployment
0. Potomac A+B
11:00am EDT
Translating from {tidymodels} and scikit-learn: Lessons from a 'bilingual' course.
4. National Harbor 10+11
11:20am EDT
R, Python, and Tableau: A Love Triangle
1. Potomac C
tidyclust - expanding tidymodels to clustering
2. Potomac D
11:40am EDT
Demystifying MLOps
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
Business Operations - Birds of a Feather
Maryland 4, 5, & 6
1:30pm EDT
Do It For Yourself: Creating a data input platform using R
1. Potomac C
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
Oddly Satisfying - Find delight in the mundane
1. Potomac C
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
Exploring Query Optimization: How a few lines of code can save hours of time
4. National Harbor 10+11
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
Highlights of the knitr package from the past two years
1. Potomac C
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
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
10:40am 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
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
11:05am EDT
{shinyslack}: Connecting Slack Teams to Shiny Apps
2. Potomac D
11:10am EDT
Yes, you can use Python with RStudio Team!
1. Potomac C
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
Cross-Industry Anomaly Detection Solutions with R and Shiny
3. Cherry Blossom
Running Shiny without a server
1. Potomac C
Comparing package versions with Diffify
2. Potomac D
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
Birds of a Feather - ML/AI with Amazon SageMaker
Maryland 1, 2, & 3
Birds of a Feather Lunch - Variegated Groups
5. Maryland
1:30pm EDT
A Journey to Data Science: Tools for Equity and Diversity in STEM
3. Cherry Blossom
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
Everything I learned about community building, I learned from growing up in a restaurant
3. Cherry Blossom
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
3:20pm EDT
These are a few of my favorite things (about Quarto presentations)
1. Potomac C
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
{shinytest2}: Regression testing for Shiny applications
2. Potomac D
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
Timezone
rstudio::conf(2022)
America/New York
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rstudio::conf(2022)
Jul 25
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28, 2022
Monday
, July 25
Tuesday
, July 26
Wednesday
, July 27
Thursday
, July 28
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Gaylord National, Forest Heights, MD, USA
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0. Potomac A+B
1. Potomac C
2. Potomac D
3. Cherry Blossom
4. National Harbor 10+11
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
Maryland 2
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
Popular
Recently Active Attendees
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J
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GT
Google test
Jon Harmon
Colin Gillespie
MM
Michael Marchetti
Joel Herndon
NL
Nuage Laboratoire
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