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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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Ofer Engel
University of Groningen
Assistant Professor
Monday
, July 25
9:00am EDT
Designing the Data Science Classroom
Maryland 3
11:00am EDT
Designing the Data Science Classroom
Maryland 3
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
Designing the Data Science Classroom
Maryland 3
Tuesday
, July 26
9:00am EDT
Designing the Data Science Classroom
Maryland 3
11:00am EDT
Designing the Data Science Classroom
Maryland 3
1:30pm EDT
Designing the Data Science Classroom
Maryland 3
Wednesday
, July 27
7:30am EDT
Academic / Research - Birds of a Feather
Maryland 1, 2, & 3
11:00am EDT
censored - Survival Analysis in tidymodels
2. Potomac D
11:20am EDT
tidyclust - expanding tidymodels to clustering
2. Potomac D
11:40am EDT
Designing a Socially-Critical Data Science Course
4. National Harbor 10+11
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
Do It For Yourself: Creating a data input platform using R
1. Potomac C
1:50pm EDT
Garbage Data, And What To Do About Them
4. National Harbor 10+11
Oddly Satisfying - Find delight in the mundane
1. Potomac C
2:10pm EDT
Project Immortality: Using GitHub To Make Your Work Live Forever
4. National Harbor 10+11
R Shiny - From Conception to the Cloud
2. Potomac D
2:30pm EDT
Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story
3. Cherry Blossom
R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring
4. National Harbor 10+11
3:20pm EDT
Quarto for the Curious
1. Potomac C
3:40pm EDT
dm: Analyze, build and deploy relational data models
4. National Harbor 10+11
Introducing workboots: Generate prediction intervals from tidymodel workflows
2. Potomac D
4:00pm EDT
Highlights of the knitr package from the past two years
1. Potomac C
The tidysynthesis R package
2. Potomac D
5:30pm EDT
Birds of a Feather Happy Hour - Healthcare
Maryland 4, 5, & 6
Birds of a Feather Happy Hour - Pharma / Life Sciences
Maryland 1, 2, & 3
Thursday
, July 28
7:30am EDT
Education & Teaching - Birds of a Feather
Maryland 1, 2, & 3
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:30am EDT
The Benefit of Talking to the "Non-Datas"
3. Cherry Blossom
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
11:10am EDT
Enterprise-Level Data Science Success
3. Cherry Blossom
leafdown: Interactive multi-layer maps in Shiny apps
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
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
Lunch
5. Maryland
1:30pm EDT
Model Migration: from Excel to R
1. Potomac C
A new way to build your Shiny app's UI
2. Potomac D
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
Tidy Transit: Real Life Data Modeling for Public Transportation
1. Potomac C
Designing for people is hard
2. Potomac D
2:10pm EDT
You should be using renv
4. National Harbor 10+11
2:30pm EDT
Small Team Large Organization: Building Impactful Shiny Dashboards at NIH
4. National Harbor 10+11
Save an ocean of time: streamline data wrangling with R
1. Potomac C
3:20pm EDT
Cracking open ggplot internals with {ggtrace}
4. National Harbor 10+11
These are a few of my favorite things (about Quarto presentations)
1. Potomac C
3:40pm EDT
Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
3. Cherry Blossom
4:00pm EDT
An introduction to R7
4. National Harbor 10+11
Websites & Books & Blogs, oh my! Creating Rich Content with Quarto
1. Potomac C
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)
America/New York
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rstudio::conf(2022)
Jul 25
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28, 2022
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Tuesday
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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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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
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Colin Gillespie
RN
Ron Neimark
Federica Gazzelloni
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