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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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C
Chloe
Unity Health Toronto
Data Scientist
Monday
, July 25
12:30pm EDT
Lunch
5. Maryland
5:30pm EDT
Book Signing Reception
3. Cherry Blossom
Tuesday
, July 26
7:30am EDT
Breakfast
5. Maryland
12:30pm EDT
Lunch
5. Maryland
5:30pm EDT
Welcome Reception
6. Riverview Ballroom
Wednesday
, July 27
7:30am EDT
Breakfast
5. Maryland
Academic / Research - Birds of a Feather
Maryland 1, 2, & 3
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
11:40am EDT
Designing a Socially-Critical Data Science Course
4. National Harbor 10+11
12:00pm EDT
Lunch
5. Maryland
1:30pm EDT
How Anchorage Built Alaska’s Vaccine Finder with R
3. Cherry Blossom
Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
4. National Harbor 10+11
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
Advocating for Automation: Adapting Current Tools in Environmental Science through R
1. Potomac C
2:30pm EDT
Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story
3. Cherry Blossom
3:20pm EDT
What they forgot to teach you about starting a business with R
3. Cherry Blossom
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
Sometimes you just need words
1. Potomac C
4:00pm EDT
What they forgot to teach you about industry transitions from academia (WTF AITA)
3. Cherry Blossom
dbcooper: Turn any database into an R or Python package
4. National Harbor 10+11
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 - Healthcare
Maryland 4, 5, & 6
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
The Benefit of Talking to the "Non-Datas"
3. Cherry Blossom
Developing internal tools for multi-lingual teams
1. Potomac C
Exploratory Spatial Data Analysis in the tidyverse
2. Potomac D
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
11:10am EDT
Enterprise-Level Data Science Success
3. Cherry Blossom
leafdown: Interactive multi-layer maps in Shiny apps
2. Potomac D
11:15am EDT
Say Hello! to Multilingual 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
11:40am EDT
The Future of missing data
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
1:30pm EDT
A Journey to Data Science: Tools for Equity and Diversity in STEM
3. Cherry Blossom
Cultivating Your Own R Ecosystem as a Solo Contributor
4. National Harbor 10+11
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
2:10pm EDT
Everything I learned about community building, I learned from growing up in a restaurant
3. Cherry Blossom
2:30pm EDT
We R KaggleRs - At the Intersection of Data Science Communities
3. Cherry Blossom
3:20pm EDT
Becoming Creative: How I Designed a Quilt with R
3. Cherry Blossom
These are a few of my favorite things (about Quarto presentations)
1. Potomac C
3:40pm EDT
Literate Programming With Jupyter Notebooks and Quarto
1. Potomac C
4:00pm EDT
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
5:30pm EDT
R-Ladies Reception
Maryland 1, 2, & 3
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rstudio::conf(2022)
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rstudio::conf(2022)
Jul 25
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28, 2022
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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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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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Tyson Barrett
Ariel Deardorff
test
Kirill Müller
Colin Gillespie
RN
Ron Neimark
Federica Gazzelloni
Rob Hyndman
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