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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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Monday
, July 25
3. Cherry Blossom
5:30pm •
Book Signing Reception
4. National Harbor 10+11
9:00am •
Machine Learning with tidymodels
11:00am •
Machine Learning with tidymodels
1:30pm •
Machine Learning with tidymodels
3:30pm •
Machine Learning with tidymodels
5. Maryland
7:30am •
Breakfast
12:30pm •
Lunch
Chesapeake 4+5+6
9:00am •
What They Forgot to Teach You About R
11:00am •
What They Forgot to Teach You About R
1:30pm •
What They Forgot to Teach You About R
3:30pm •
What They Forgot to Teach You About R
Chesapeake D
9:00am •
Clinical Reporting in R
11:00am •
Clinical Reporting in R
1:30pm •
Clinical Reporting in R
3:30pm •
Clinical Reporting in R
Chesapeake E
9:00am •
R for People Analytics
11:00am •
R for People Analytics
1:30pm •
R for People Analytics
3:30pm •
R for People Analytics
Chesapeake F
9:00am •
Building Tidy Tools
11:00am •
Building Tidy Tools
1:30pm •
Building Tidy Tools
3:30pm •
Building Tidy Tools
Chesapeake G+H+I
9:00am •
Package Development Masterclass
11:00am •
Package Development Masterclass
1:30pm •
Package Development Masterclass
3:30pm •
Package Development Masterclass
Maryland 1
9:00am •
Making Art from Code: How the magic works, and the practical skills it teaches
11:00am •
Making Art from Code: How the magic works, and the practical skills it teaches
1:30pm •
Making Art from Code: How the magic works, and the practical skills it teaches
3:30pm •
Making Art from Code: How the magic works, and the practical skills it teaches
Maryland 2
9:00am •
Getting Started with Quarto
11:00am •
Getting Started with Quarto
1:30pm •
Getting Started with Quarto
3:30pm •
Getting Started with Quarto
Maryland 3
9:00am •
Designing the Data Science Classroom
11:00am •
Designing the Data Science Classroom
1:30pm •
Designing the Data Science Classroom
3:30pm •
Designing the Data Science Classroom
Maryland 4+5
9:00am •
Introduction to the tidyverse
11:00am •
Introduction to the tidyverse
1:30pm •
Introduction to the tidyverse
3:30pm •
Introduction to the tidyverse
Maryland 6
9:00am •
How Data Science with R Works for Systems Administrators
11:00am •
How Data Science with R Works for Systems Administrators
1:30pm •
How Data Science with R Works for Systems Administrators
3:30pm •
How Data Science with R Works for Systems Administrators
National Harbor 12+13
9:00am •
From R Markdown to Quarto
11:00am •
From R Markdown to Quarto
1:30pm •
From R Markdown to Quarto
3:30pm •
From R Markdown to Quarto
National Harbor 2
9:00am •
Building Production-Quality Shiny Applications
11:00am •
Building Production-Quality Shiny Applications
1:30pm •
Building Production-Quality Shiny Applications
3:30pm •
Building Production-Quality Shiny Applications
National Harbor 3
9:00am •
Causal Inference in R
11:00am •
Causal Inference in R
1:30pm •
Causal Inference in R
3:30pm •
Causal Inference in R
National Harbor 4+5
9:00am •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
11:00am •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
1:30pm •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
3:30pm •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 6+7
9:00am •
Getting Started with Shiny
11:00am •
Getting Started with Shiny
1:30pm •
Getting Started with Shiny
3:30pm •
Getting Started with Shiny
Tuesday
, July 26
4. National Harbor 10+11
9:00am •
Machine Learning with tidymodels
11:00am •
Machine Learning with tidymodels
1:30pm •
Machine Learning with tidymodels
3:30pm •
Machine Learning with tidymodels
5. Maryland
7:30am •
Breakfast
12:30pm •
Lunch
6. Riverview Ballroom
5:30pm •
Welcome Reception
Chesapeake 4+5+6
9:00am •
What They Forgot to Teach You About R
11:00am •
What They Forgot to Teach You About R
1:30pm •
What They Forgot to Teach You About R
3:30pm •
What They Forgot to Teach You About R
Chesapeake D
9:00am •
Clinical Reporting in R
11:00am •
Clinical Reporting in R
1:30pm •
Clinical Reporting in R
3:30pm •
Clinical Reporting in R
Chesapeake E
9:00am •
R for People Analytics
11:00am •
R for People Analytics
1:30pm •
R for People Analytics
3:30pm •
R for People Analytics
Chesapeake F
9:00am •
Building Tidy Tools
11:00am •
Building Tidy Tools
1:30pm •
Building Tidy Tools
3:30pm •
Building Tidy Tools
Chesapeake G+H+I
9:00am •
Package Development Masterclass
11:00am •
Package Development Masterclass
1:30pm •
Package Development Masterclass
3:30pm •
Package Development Masterclass
Maryland 1
9:00am •
Making Art from Code: How the magic works, and the practical skills it teaches
11:00am •
Making Art from Code: How the magic works, and the practical skills it teaches
1:30pm •
Making Art from Code: How the magic works, and the practical skills it teaches
3:30pm •
Making Art from Code: How the magic works, and the practical skills it teaches
Maryland 2
9:00am •
Getting Started with Quarto
11:00am •
Getting Started with Quarto
1:30pm •
Getting Started with Quarto
3:30pm •
Getting Started with Quarto
Maryland 3
9:00am •
Designing the Data Science Classroom
11:00am •
Designing the Data Science Classroom
1:30pm •
Designing the Data Science Classroom
3:30pm •
Designing the Data Science Classroom
Maryland 4+5
9:00am •
Introduction to the tidyverse
11:00am •
Introduction to the tidyverse
1:30pm •
Introduction to the tidyverse
3:30pm •
Introduction to the tidyverse
Maryland 6
9:00am •
How Data Science with R Works for Systems Administrators
11:00am •
How Data Science with R Works for Systems Administrators
1:30pm •
How Data Science with R Works for Systems Administrators
3:30pm •
How Data Science with R Works for Systems Administrators
National Harbor 12+13
9:00am •
From R Markdown to Quarto
11:00am •
From R Markdown to Quarto
1:30pm •
From R Markdown to Quarto
3:30pm •
From R Markdown to Quarto
National Harbor 2
9:00am •
Building Production-Quality Shiny Applications
11:00am •
Building Production-Quality Shiny Applications
1:30pm •
Building Production-Quality Shiny Applications
3:30pm •
Building Production-Quality Shiny Applications
National Harbor 3
9:00am •
Causal Inference in R
11:00am •
Causal Inference in R
1:30pm •
Causal Inference in R
3:30pm •
Causal Inference in R
National Harbor 4+5
9:00am •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
11:00am •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
1:30pm •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
3:30pm •
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 6+7
9:00am •
Getting Started with Shiny
11:00am •
Getting Started with Shiny
1:30pm •
Getting Started with Shiny
3:30pm •
Getting Started with Shiny
Wednesday
, July 27
0. Potomac A+B
9:00am •
Good practices for applied machine learning - from model development to model deployment
4:30pm •
The Past and Future of Shiny
1. Potomac C
11:00am •
The R integration in Power BI: Why R developers should be Interested
11:20am •
R, Python, and Tableau: A Love Triangle
11:40am •
Building a client portal app for a mortgage management group with embedded Power BI reports
1:30pm •
Do It For Yourself: Creating a data input platform using R
1:50pm •
Oddly Satisfying - Find delight in the mundane
2:10pm •
Advocating for Automation: Adapting Current Tools in Environmental Science through R
2:30pm •
Saving 1,000 hours with RStudio: selling R in your workplace
3:20pm •
Quarto for the Curious
3:40pm •
Sometimes you just need words
4:00pm •
Highlights of the knitr package from the past two years
2. Potomac D
11:00am •
censored - Survival Analysis in tidymodels
11:20am •
tidyclust - expanding tidymodels to clustering
11:40am •
Demystifying MLOps
1:30pm •
Remote Content Execution with RStudio Connect and Kubernetes
1:50pm •
Data science in your customers hands on a budget and a deadline: Publishing Customer Facing Products with RStudio Connect
2:10pm •
R Shiny - From Conception to the Cloud
2:30pm •
Robust R Deployments: Building a Pipeline from RStudio to Production
3:20pm •
Dissecting the quick fix: Analysing tech-solutionist solutions
3:40pm •
Introducing workboots: Generate prediction intervals from tidymodel workflows
4:00pm •
The tidysynthesis R package
3. Cherry Blossom
11:00am •
R Package Assessment: Lessons from Pharma
11:20am •
Dive Deep into Metadata with Tplyr
11:40am •
Packages and Process
1:30pm •
How Anchorage Built Alaska’s Vaccine Finder with R
1:50pm •
Scaling and automating R workflows with Kubernetes and Airflow
2:10pm •
An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect
2:30pm •
Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story
3:20pm •
What they forgot to teach you about starting a business with R
3:40pm •
What they forgot to teach you about becoming an open source contributor
4:00pm •
What they forgot to teach you about industry transitions from academia (WTF AITA)
4. National Harbor 10+11
11:00am •
Translating from {tidymodels} and scikit-learn: Lessons from a 'bilingual' course.
11:20am •
Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile.
11:40am •
Designing a Socially-Critical Data Science Course
1:30pm •
Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
1:50pm •
Garbage Data, And What To Do About Them
2:10pm •
Project Immortality: Using GitHub To Make Your Work Live Forever
2:30pm •
R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring
3:20pm •
Exploring Query Optimization: How a few lines of code can save hours of time
3:40pm •
dm: Analyze, build and deploy relational data models
4:00pm •
dbcooper: Turn any database into an R or Python package
5. Maryland
7:30am •
Birds of a Feather - Variegated Groups
7:30am •
Breakfast
12:00pm •
Birds of a Feather Lunch - Variegated Groups
12:00pm •
Lunch
7. Orchard Terrace
6:00pm •
Evening Dinner & Activities
Chesapeake
5:30pm •
Birds of a Feather Happy Hour - Industry Groups
Chesapeake 9
5:30pm •
Spanish Speakers / LATAM - Birds of a Feather Happy Hour
Maryland 1, 2, & 3
7:30am •
Academic / Research - Birds of a Feather
12:00pm •
Pharma / Life Sciences - Birds of a Feather
5:30pm •
Birds of a Feather Happy Hour - Pharma / Life Sciences
Maryland 4, 5, & 6
12:00pm •
Business Operations - Birds of a Feather
5:30pm •
Birds of a Feather Happy Hour - Healthcare
Thursday
, July 28
0. Potomac A+B
9:00am •
Hello Quarto: Share • Collaborate • Teach • Reimagine
4:30pm •
Data science training in communities with limited technology resources and opportunities
1. Potomac C
10:30am •
Developing internal tools for multi-lingual teams
10:50am •
Achieving a seamless workflow between R, Python and SAS from within RStudio
11:10am •
Yes, you can use Python with RStudio Team!
11:30am •
Running Shiny without a server
1:30pm •
Model Migration: from Excel to R
1:50pm •
Tidy Transit: Real Life Data Modeling for Public Transportation
2:10pm •
Digging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal government
2:30pm •
Save an ocean of time: streamline data wrangling with R
3:20pm •
These are a few of my favorite things (about Quarto presentations)
3:40pm •
Literate Programming With Jupyter Notebooks and Quarto
4:00pm •
Websites & Books & Blogs, oh my! Creating Rich Content with Quarto
2. Potomac D
10:30am •
Exploratory Spatial Data Analysis in the tidyverse
10:35am •
WebR: R compiled for WebAssembly and running in the browser
10:40am •
It's about time
10:45am •
Let your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsive
10:50am •
Accelerating geospatial computing using Apache Arrow
10:55am •
Zero-setup R workshops with GitHub Codespaces
11:00am •
Making awesome automations with GitHub Actions
11:05am •
{shinyslack}: Connecting Slack Teams to Shiny Apps
11:10am •
leafdown: Interactive multi-layer maps in Shiny apps
11:15am •
Say Hello! to Multilingual Shiny Apps
11:20am •
Let's start at the beginning - bits to character encoding in R
11:25am •
Implications of R syntax in intro stats
11:30am •
Comparing package versions with Diffify
11:35am •
Visualizing distributions and uncertainty using ggdist
11:40am •
The Future of missing data
1:30pm •
A new way to build your Shiny app's UI
1:50pm •
Designing for people is hard
2:10pm •
Creating a Design System for Shiny and RMarkdown
2:30pm •
Dashboard-Builder: Building Shiny Apps without writing any code
3:20pm •
Introducing Rhino: Shiny application framework for enterprise
3:40pm •
A Robust Framework for Automated Shiny App Testing
4:00pm •
{shinytest2}: Regression testing for Shiny applications
3. Cherry Blossom
10:30am •
The Benefit of Talking to the "Non-Datas"
10:50am •
How to be a pollinatoR
11:10am •
Enterprise-Level Data Science Success
11:30am •
Cross-Industry Anomaly Detection Solutions with R and Shiny
1:30pm •
A Journey to Data Science: Tools for Equity and Diversity in STEM
1:50pm •
Building Accessible Lessons with R and Friends
2:10pm •
Everything I learned about community building, I learned from growing up in a restaurant
2:30pm •
We R KaggleRs - At the Intersection of Data Science Communities
3:20pm •
Becoming Creative: How I Designed a Quilt with R
3:40pm •
Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
4:00pm •
The Polygons of Another World - realtime interactive rendering in R
4. National Harbor 10+11
10:30am •
I made an entire e-commerce platform on Shiny
10:50am •
The worlds smallest R environment? Running R on a $15 computer
11:10am •
A touch of R in Robotics
11:30am •
An Introduction to the Apple Health Export
1:30pm •
Cultivating Your Own R Ecosystem as a Solo Contributor
1:50pm •
Demystifying the art of creating custom libraries for your organization
2:10pm •
You should be using renv
2:30pm •
Small Team Large Organization: Building Impactful Shiny Dashboards at NIH
3:20pm •
Cracking open ggplot internals with {ggtrace}
3:40pm •
From summarizing projects to setting tags, uses of parsing R files
4:00pm •
An introduction to R7
5. Maryland
7:30am •
Birds of a Feather Breakfast - Variegated Groups
7:30am •
Breakfast
12:00pm •
Birds of a Feather Lunch - Variegated Groups
12:00pm •
Lunch
Maryland 1, 2, & 3
7:30am •
Education & Teaching - Birds of a Feather
12:00pm •
Birds of a Feather - ML/AI with Amazon SageMaker
5:30pm •
R-Ladies Reception
Maryland 4, 5, & 6
12:00pm •
Birds of a Feather - UseR Group Organizers
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rstudio::conf(2022)
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, July 26
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, July 28
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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
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Maryland 1, 2, & 3
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Maryland 3
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Maryland 4, 5, & 6
Maryland 6
National Harbor 12+13
National Harbor 2
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National Harbor 4+5
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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
Recently Active Attendees
T
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Kyle Grealis
Federica Gazzelloni
MJ
Martine Jansen
Stephan Kadauke
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Dates
Monday
, July 25
Tuesday
, July 26
Wednesday
, July 27
Thursday
, July 28
Types
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
Venues
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
