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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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Dan Haight
BD
Senior Manager, Supply Chain
Roxbury, New Jersey
My Friends
Monday
, July 25
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
11:00am EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
3:30pm EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
5:30pm EDT
Book Signing Reception
3. Cherry Blossom
Tuesday
, July 26
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
11:00am EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
3:30pm EDT
What They Forgot to Teach You About R
Chesapeake 4+5+6
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
Dive Deep into Metadata with Tplyr
3. Cherry Blossom
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
Remote Content Execution with RStudio Connect and Kubernetes
2. Potomac D
1:50pm EDT
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
3:20pm EDT
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
dbcooper: Turn any database into an R or Python package
4. National Harbor 10+11
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
I made an entire e-commerce platform on Shiny
4. National Harbor 10+11
10:50am EDT
The worlds smallest R environment? Running R on a $15 computer
4. National Harbor 10+11
11:10am EDT
Yes, you can use Python with RStudio Team!
1. Potomac C
11:30am EDT
Running Shiny without a server
1. Potomac C
12:00pm EDT
Lunch
5. Maryland
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
We R KaggleRs - At the Intersection of Data Science Communities
3. Cherry Blossom
3:20pm EDT
These are a few of my favorite things (about Quarto presentations)
1. Potomac C
3:40pm EDT
A Robust Framework for Automated Shiny App Testing
2. Potomac D
4:00pm EDT
{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
Timezone
rstudio::conf(2022)
America/New York
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28, 2022
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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
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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
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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