Menu
Log in
Sign up
Schedule
Speakers
Attendees
Map
Search
Calendar Export
Print Schedule
Download our free app:
This event has ended. Visit the
official site
or
create your own event on Sched
.
rstudio::conf(2022)
-
Saved To
My Schedule
Schedule
Simple
Expanded
Grid
By Venue
Speakers
Attendees
Map
Search
or browse by date + venue
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
Popular
Popular Events
#1
Good practices for applied machine learning - from model development to model deployment
#2
Hello Quarto: Share • Collaborate • Teach • Reimagine
#3
The Past and Future of Shiny
#4
Quarto for the Curious
#5
A new way to build your Shiny app's UI
#6
Running Shiny without a server
#7
Data science training in communities with limited technology resources and opportunities
#8
An introduction to R7
#9
Evening Dinner & Activities
#10
Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
#11
R, Python, and Tableau: A Love Triangle
#12
R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring
#13
Lunch
#14
Breakfast
#15
Welcome Reception
#16
You should be using renv
#17
Designing for people is hard
#18
Exploratory Spatial Data Analysis in the tidyverse
#19
Demystifying MLOps
#20
The Future of missing data
#21
These are a few of my favorite things (about Quarto presentations)
#22
Making awesome automations with GitHub Actions
#23
tidyclust - expanding tidymodels to clustering
#24
Project Immortality: Using GitHub To Make Your Work Live Forever
#25
Highlights of the knitr package from the past two years
#26
Garbage Data, And What To Do About Them
#27
Dashboard-Builder: Building Shiny Apps without writing any code
#28
Breakfast
#29
Lunch
#30
censored - Survival Analysis in tidymodels
#31
It's about time
#32
dbcooper: Turn any database into an R or Python package
#33
Creating a Design System for Shiny and RMarkdown
#34
Lunch
#35
Breakfast
#36
The R integration in Power BI: Why R developers should be Interested
#37
Do It For Yourself: Creating a data input platform using R
#38
Visualizing distributions and uncertainty using ggdist
#39
Lunch
#40
Scaling and automating R workflows with Kubernetes and Airflow
#41
R Shiny - From Conception to the Cloud
#42
Breakfast
#43
Packages and Process
#44
leafdown: Interactive multi-layer maps in Shiny apps
#45
Robust R Deployments: Building a Pipeline from RStudio to Production
#46
Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
#47
{shinytest2}: Regression testing for Shiny applications
#48
Sometimes you just need words
#49
Achieving a seamless workflow between R, Python and SAS from within RStudio
#50
Zero-setup R workshops with GitHub Codespaces
Popular by Type
All Types
Keynote
Meal
Social
Track Cherry Blossom
Track National Harbor 10+11
Track Potomac C
Track Potomac D
Workshop
Popular by Day
All days
Monday, Jul 25
Tuesday, Jul 26
Wednesday, Jul 27
Thursday, Jul 28
Recently Active Attendees
T
test
Yuhan (Douglas) Rao
BIG WIZ Faxcash
Nicola Rennie
Michael Zenz
نجمیه حکیمی
Michael Ofosu Appiah
Erwin Lares
More →