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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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Joe Cheng
RStudio, PBC
CTO
Greater Seattle Area
rstudio.com
Contact Me
on Twitter
Joe Cheng is the Chief Technology Officer at RStudio PBC, where he helped create the RStudio IDE and Shiny web framework.
Thursday
, July 28
10:30am EDT
I made an entire e-commerce platform on Shiny
4. National Harbor 10+11
10:35am EDT
WebR: R compiled for WebAssembly and running in the browser
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
3:40pm EDT
Literate Programming With Jupyter Notebooks and Quarto
1. Potomac C
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
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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
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
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