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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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Bilikisu Aderinto
Business Data Laboratory
Business Data Analyst
Abuja, NIgeria
Monday
, July 25
9:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
11:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
1:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
3:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
Tuesday
, July 26
9:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
11:00am EDT
Building Production-Quality Shiny Applications
National Harbor 2
1:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
3:30pm EDT
Building Production-Quality Shiny Applications
National Harbor 2
Wednesday
, July 27
7:30am EDT
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
The R integration in Power BI: Why R developers should be Interested
1. Potomac C
11:40am EDT
Building a client portal app for a mortgage management group with embedded Power BI reports
1. Potomac C
1:30pm EDT
Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
4. National Harbor 10+11
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
What they forgot to teach you about starting a business with R
3. Cherry Blossom
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
Thursday
, July 28
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:30am EDT
Exploratory Spatial Data Analysis in the tidyverse
2. Potomac D
10:45am EDT
Let your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsive
2. Potomac D
10:50am EDT
Accelerating geospatial computing using Apache Arrow
2. Potomac D
11:10am EDT
leafdown: Interactive multi-layer maps in Shiny apps
2. Potomac D
1:30pm EDT
A new way to build your Shiny app's UI
2. Potomac D
1:50pm EDT
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
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
Small Team Large Organization: Building Impactful Shiny Dashboards at NIH
4. National Harbor 10+11
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
{shinytest2}: Regression testing for Shiny applications
2. Potomac D
5:30pm EDT
R-Ladies Reception
Maryland 1, 2, & 3
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Jul 25
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28, 2022
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Gaylord National, Forest Heights, MD, USA
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6. Riverview Ballroom
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Chesapeake
Chesapeake 4+5+6
Chesapeake 9
Chesapeake D
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Maryland 1, 2, & 3
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Maryland 4, 5, & 6
Maryland 6
National Harbor 12+13
National Harbor 2
National Harbor 3
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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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Ariel Deardorff
test
Kirill Müller
Colin Gillespie
RN
Ron Neimark
Federica Gazzelloni
Rob Hyndman
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