rstudio::conf(2022): Grid

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3. Cherry Blossom	4. National Harbor 10+11	5. Maryland	Chesapeake 4+5+6	Chesapeake D	Chesapeake E	Chesapeake F	Chesapeake G+H+I	Maryland 1	Maryland 2	Maryland 3	Maryland 4+5	Maryland 6	National Harbor 12+13	National Harbor 2	National Harbor 3	National Harbor 4+5	National Harbor 6+7

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Book Signing Reception 5:30pm - 7:00pm

Machine Learning with tidymodels 9:00am - 10:30am

Machine Learning with tidymodels 11:00am - 12:30pm

Machine Learning with tidymodels 1:30pm - 3:00pm

Machine Learning with tidymodels 3:30pm - 5:00pm

Breakfast 7:30am - 9:00am

Lunch 12:30pm - 1:30pm

What They Forgot to Teach You About R 9:00am - 10:30am

What They Forgot to Teach You About R 11:00am - 12:30pm

What They Forgot to Teach You About R 1:30pm - 3:00pm

What They Forgot to Teach You About R 3:30pm - 5:00pm

Clinical Reporting in R 9:00am - 10:30am

Clinical Reporting in R 11:00am - 12:30pm

Clinical Reporting in R 1:30pm - 3:00pm

Clinical Reporting in R 3:30pm - 5:00pm

R for People Analytics 9:00am - 10:30am

R for People Analytics 11:00am - 12:30pm

R for People Analytics 1:30pm - 3:00pm

R for People Analytics 3:30pm - 5:00pm

Building Tidy Tools 9:00am - 10:30am

Building Tidy Tools 11:00am - 12:30pm

Building Tidy Tools 1:30pm - 3:00pm

Building Tidy Tools 3:30pm - 5:00pm

Package Development Masterclass 9:00am - 10:30am

Package Development Masterclass 11:00am - 12:30pm

Package Development Masterclass 1:30pm - 3:00pm

Package Development Masterclass 3:30pm - 5:00pm

Making Art from Code: How the magic works, and the practical skills it teaches 9:00am - 10:30am

Making Art from Code: How the magic works, and the practical skills it teaches 11:00am - 12:30pm

Making Art from Code: How the magic works, and the practical skills it teaches 1:30pm - 3:00pm

Making Art from Code: How the magic works, and the practical skills it teaches 3:30pm - 5:00pm

Getting Started with Quarto 9:00am - 10:30am

Getting Started with Quarto 11:00am - 12:30pm

Getting Started with Quarto 1:30pm - 3:00pm

Getting Started with Quarto 3:30pm - 5:00pm

Designing the Data Science Classroom 9:00am - 10:30am

Designing the Data Science Classroom 11:00am - 12:30pm

Designing the Data Science Classroom 1:30pm - 3:00pm

Designing the Data Science Classroom 3:30pm - 5:00pm

Introduction to the tidyverse 9:00am - 10:30am

Introduction to the tidyverse 11:00am - 12:30pm

Introduction to the tidyverse 1:30pm - 3:00pm

Introduction to the tidyverse 3:30pm - 5:00pm

How Data Science with R Works for Systems Administrators 9:00am - 10:30am

How Data Science with R Works for Systems Administrators 11:00am - 12:30pm

How Data Science with R Works for Systems Administrators 1:30pm - 3:00pm

How Data Science with R Works for Systems Administrators 3:30pm - 5:00pm

From R Markdown to Quarto 9:00am - 10:30am

From R Markdown to Quarto 11:00am - 12:30pm

From R Markdown to Quarto 1:30pm - 3:00pm

From R Markdown to Quarto 3:30pm - 5:00pm

Building Production-Quality Shiny Applications 9:00am - 10:30am

Building Production-Quality Shiny Applications 11:00am - 12:30pm

Building Production-Quality Shiny Applications 1:30pm - 3:00pm

Building Production-Quality Shiny Applications 3:30pm - 5:00pm

Causal Inference in R 9:00am - 10:30am

Causal Inference in R 11:00am - 12:30pm

Causal Inference in R 1:30pm - 3:00pm

Causal Inference in R 3:30pm - 5:00pm

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 9:00am - 10:30am

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 11:00am - 12:30pm

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 1:30pm - 3:00pm

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 3:30pm - 5:00pm

Getting Started with Shiny 9:00am - 10:30am

Getting Started with Shiny 11:00am - 12:30pm

Getting Started with Shiny 1:30pm - 3:00pm

Getting Started with Shiny 3:30pm - 5:00pm

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4. National Harbor 10+11	5. Maryland	6. Riverview Ballroom	Chesapeake 4+5+6	Chesapeake D	Chesapeake E	Chesapeake F	Chesapeake G+H+I	Maryland 1	Maryland 2	Maryland 3	Maryland 4+5	Maryland 6	National Harbor 12+13	National Harbor 2	National Harbor 3	National Harbor 4+5	National Harbor 6+7

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Machine Learning with tidymodels 9:00am - 10:30am

Machine Learning with tidymodels 11:00am - 12:30pm

Machine Learning with tidymodels 1:30pm - 3:00pm

Machine Learning with tidymodels 3:30pm - 5:00pm

Breakfast 7:30am - 9:00am

Lunch 12:30pm - 1:30pm

Welcome Reception 5:30pm - 7:30pm

What They Forgot to Teach You About R 9:00am - 10:30am

What They Forgot to Teach You About R 11:00am - 12:30pm

What They Forgot to Teach You About R 1:30pm - 3:00pm

What They Forgot to Teach You About R 3:30pm - 5:00pm

Clinical Reporting in R 9:00am - 10:30am

Clinical Reporting in R 11:00am - 12:30pm

Clinical Reporting in R 1:30pm - 3:00pm

Clinical Reporting in R 3:30pm - 5:00pm

R for People Analytics 9:00am - 10:30am

R for People Analytics 11:00am - 12:30pm

R for People Analytics 1:30pm - 3:00pm

R for People Analytics 3:30pm - 5:00pm

Building Tidy Tools 9:00am - 10:30am

Building Tidy Tools 11:00am - 12:30pm

Building Tidy Tools 1:30pm - 3:00pm

Building Tidy Tools 3:30pm - 5:00pm

Package Development Masterclass 9:00am - 10:30am

Package Development Masterclass 11:00am - 12:30pm

Package Development Masterclass 1:30pm - 3:00pm

Package Development Masterclass 3:30pm - 5:00pm

Making Art from Code: How the magic works, and the practical skills it teaches 9:00am - 10:30am

Making Art from Code: How the magic works, and the practical skills it teaches 11:00am - 12:30pm

Making Art from Code: How the magic works, and the practical skills it teaches 1:30pm - 3:00pm

Making Art from Code: How the magic works, and the practical skills it teaches 3:30pm - 5:00pm

Getting Started with Quarto 9:00am - 10:30am

Getting Started with Quarto 11:00am - 12:30pm

Getting Started with Quarto 1:30pm - 3:00pm

Getting Started with Quarto 3:30pm - 5:00pm

Designing the Data Science Classroom 9:00am - 10:30am

Designing the Data Science Classroom 11:00am - 12:30pm

Designing the Data Science Classroom 1:30pm - 3:00pm

Designing the Data Science Classroom 3:30pm - 5:00pm

Introduction to the tidyverse 9:00am - 10:30am

Introduction to the tidyverse 11:00am - 12:30pm

Introduction to the tidyverse 1:30pm - 3:00pm

Introduction to the tidyverse 3:30pm - 5:00pm

How Data Science with R Works for Systems Administrators 9:00am - 10:30am

How Data Science with R Works for Systems Administrators 11:00am - 12:30pm

How Data Science with R Works for Systems Administrators 1:30pm - 3:00pm

How Data Science with R Works for Systems Administrators 3:30pm - 5:00pm

From R Markdown to Quarto 9:00am - 10:30am

From R Markdown to Quarto 11:00am - 12:30pm

From R Markdown to Quarto 1:30pm - 3:00pm

From R Markdown to Quarto 3:30pm - 5:00pm

Building Production-Quality Shiny Applications 9:00am - 10:30am

Building Production-Quality Shiny Applications 11:00am - 12:30pm

Building Production-Quality Shiny Applications 1:30pm - 3:00pm

Building Production-Quality Shiny Applications 3:30pm - 5:00pm

Causal Inference in R 9:00am - 10:30am

Causal Inference in R 11:00am - 12:30pm

Causal Inference in R 1:30pm - 3:00pm

Causal Inference in R 3:30pm - 5:00pm

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 9:00am - 10:30am

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 11:00am - 12:30pm

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 1:30pm - 3:00pm

Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 3:30pm - 5:00pm

Getting Started with Shiny 9:00am - 10:30am

Getting Started with Shiny 11:00am - 12:30pm

Getting Started with Shiny 1:30pm - 3:00pm

Getting Started with Shiny 3:30pm - 5:00pm

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0. Potomac A+B	1. Potomac C	2. Potomac D	3. Cherry Blossom	4. National Harbor 10+11	5. Maryland	7. Orchard Terrace	Chesapeake	Chesapeake 9	Maryland 1, 2, & 3	Maryland 4, 5, & 6

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Good practices for applied machine learning - from model development to model deployment 9:00am - 10:30am

The Past and Future of Shiny 4:30pm - 5:30pm

The R integration...

R, Python, and Tab...

Building a client...

Do It For Yourself...

Oddly Satisfying -...

Advocating for Aut...

Saving 1,000 hours...

Quarto for the Cur...

Sometimes you just...

Highlights of the...

censored - Surviva...

tidyclust - expand...

Demystifying MLOps

Remote Content Exe...

Data science in yo...

R Shiny - From Con...

Robust R Deploymen...

Dissecting the qui...

Introducing workbo...

The tidysynthesis...

R Package Assessme...

Dive Deep into Met...

Packages and Proce...

How Anchorage Buil...

Scaling and automa...

An Integrated Work...

Optimal allocation...

What they forgot t...

Translating from {...

Mobile, Low-Bandwi...

Designing a Social...

Making Data Pipeli...

Garbage Data, And...

Project Immortalit...

R Markdown + RStud...

Exploring Query Op...

dm: Analyze, build...

dbcooper: Turn any...

Birds of a Feather - Variegated Groups 7:30am - 9:00am

Breakfast 7:30am - 9:00am

Birds of a Feather Lunch - Variegated Groups 12:00pm - 1:30pm

Lunch 12:00pm - 1:30pm

Evening Dinner & Activities 6:00pm - 9:00pm

Birds of a Feather Happy Hour - Industry Groups 5:30pm - 7:00pm

Spanish Speakers / LATAM - Birds of a Feather Happy Hour 5:30pm - 7:00pm

Academic / Research - Birds of a Feather 7:30am - 9:00am

Pharma / Life Sciences - Birds of a Feather 12:00pm - 1:30pm

Birds of a Feather Happy Hour - Pharma / Life Sciences 5:30pm - 7:00pm

Business Operations - Birds of a Feather 12:00pm - 1:30pm

Birds of a Feather Happy Hour - Healthcare 5:30pm - 7:00pm

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0. Potomac A+B	1. Potomac C	2. Potomac D	3. Cherry Blossom	4. National Harbor 10+11	5. Maryland	Maryland 1, 2, & 3	Maryland 4, 5, & 6

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Hello Quarto: Share • Collaborate • Teach • Reimagine 9:00am - 10:00am

Data science training in communities with limited technology res... 4:30pm - 5:30pm

Developing interna...

Achieving a seamle...

Yes, you can use P...

Running Shiny with...

Model Migration: f...

Tidy Transit: Real...

Digging a Pit of S...

Save an ocean of t...

These are a few of...

Literate Programmi...

Websites & Books &...

Exploratory Spatia...

WebR: R compiled f...

It's about time

Let your mobile sh...

Accelerating geosp...

Zero-setup R works...

Making awesome aut...

{shinyslack}: Conn...

leafdown: Interact...

Say Hello! to Mult...

Let's start at the...

Implications of R...

Comparing package...

Visualizing distri...

The Future of miss...

A new way to build...

Designing for peop...

Creating a Design...

Dashboard-Builder:...

Introducing Rhino:...

A Robust Framework...

{shinytest2}: Regr...

The Benefit of Tal...

How to be a pollin...

Enterprise-Level D...

Cross-Industry Ano...

A Journey to Data...

Building Accessibl...

Everything I learn...

We R KaggleRs - At...

Becoming Creative:...

Building a ggplot2...

The Polygons of An...

I made an entire e...

The worlds smalles...

A touch of R in Ro...

An Introduction to...

Cultivating Your O...

Demystifying the a...

You should be usin...

Small Team Large O...

Cracking open ggpl...

From summarizing p...

An introduction to...

Birds of a Feather Breakfast - Variegated Groups 7:30am - 9:00am

Breakfast 7:30am - 9:00am

Birds of a Feather Lunch - Variegated Groups 12:00pm - 1:30pm

Lunch 12:00pm - 1:30pm

Education & Teaching - Birds of a Feather 7:30am - 9:00am

Birds of a Feather - ML/AI with Amazon SageMaker 12:00pm - 1:30pm

R-Ladies Reception 5:30pm - 7:00pm

Birds of a Feather - UseR Group Organizers 12:00pm - 1:30pm