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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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PG
Priyanka Gagneja
Convatec
Quality Data Analyst
MA, US and India
Monday
, July 25
9:00am EDT
Building Tidy Tools
Chesapeake F
Clinical Reporting in R
Chesapeake D
From R Markdown to Quarto
National Harbor 12+13
Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R
National Harbor 4+5
What They Forgot to Teach You About R
Chesapeake 4+5+6
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
R Package Assessment: Lessons from Pharma
3. Cherry Blossom
The R integration in Power BI: Why R developers should be Interested
1. Potomac C
11:40am EDT
Designing a Socially-Critical Data Science Course
4. National Harbor 10+11
Building a client portal app for a mortgage management group with embedded Power BI reports
1. Potomac C
12:00pm EDT
Birds of a Feather Lunch - Variegated Groups
5. Maryland
1:30pm EDT
Making Data Pipelines in R: A Story From A “Self-Taught” Perspective
4. National Harbor 10+11
Do It For Yourself: Creating a data input platform using R
1. Potomac C
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
Project Immortality: Using GitHub To Make Your Work Live Forever
4. National Harbor 10+11
R Shiny - From Conception to the Cloud
2. Potomac D
2:30pm EDT
Saving 1,000 hours with RStudio: selling R in your workplace
1. Potomac C
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
dm: Analyze, build and deploy relational data models
4. National Harbor 10+11
Sometimes you just need words
1. Potomac C
4:00pm EDT
Highlights of the knitr package from the past two years
1. Potomac C
5:30pm EDT
Birds of a Feather Happy Hour - Industry Groups
Chesapeake
Thursday
, July 28
7:30am EDT
Birds of a Feather Breakfast - Variegated Groups
5. Maryland
10:30am EDT
The Benefit of Talking to the "Non-Datas"
3. Cherry Blossom
10:50am EDT
The worlds smallest R environment? Running R on a $15 computer
4. National Harbor 10+11
11:05am EDT
{shinyslack}: Connecting Slack Teams to Shiny Apps
2. Potomac D
11:30am EDT
Running Shiny without a server
1. Potomac C
11:40am EDT
The Future of missing data
2. Potomac D
12:00pm EDT
Birds of a Feather Lunch - Variegated Groups
5. Maryland
1:30pm EDT
Cultivating Your Own R Ecosystem as a Solo Contributor
4. National Harbor 10+11
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
Tidy Transit: Real Life Data Modeling for Public Transportation
1. Potomac C
Designing for people is hard
2. Potomac D
2:10pm EDT
You should be using renv
4. National Harbor 10+11
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
Save an ocean of time: streamline data wrangling with R
1. Potomac C
Dashboard-Builder: Building Shiny Apps without writing any code
2. Potomac D
3:40pm EDT
A Robust Framework for Automated Shiny App Testing
2. Potomac D
4:00pm EDT
An introduction to R7
4. National Harbor 10+11
5:30pm EDT
R-Ladies Reception
Maryland 1, 2, & 3
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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
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, 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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