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rstudio::conf(2022)

Annaka Scheeres

Philadelphia Department of Public Health
Senior Research Associate
Philadelphia, PA

Contact Me

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

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

R Package Assessment: Lessons from Pharma 3. Cherry Blossom

11:20am EDT

Dive Deep into Metadata with Tplyr 3. Cherry Blossom R, Python, and Tableau: A Love Triangle 1. Potomac C

11:40am EDT

Packages and Process 3. Cherry Blossom Designing a Socially-Critical Data Science Course 4. National Harbor 10+11

12:00pm EDT

Lunch 5. Maryland Birds of a Feather Lunch - Variegated Groups 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 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

2:10pm EDT

R Shiny - From Conception to the Cloud 2. Potomac D

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

Quarto for the Curious 1. Potomac C

3:40pm EDT

Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

Highlights of the knitr package from the past two years 1. Potomac C The tidysynthesis R package 2. Potomac D

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

7:30am EDT

Breakfast 5. Maryland

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

10:35am 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

10:50am EDT

Achieving a seamless workflow between R, Python and SAS from within RStudio 1. Potomac C

10:55am EDT

Zero-setup R workshops with GitHub Codespaces 2. Potomac D

11:00am EDT

Making awesome automations with GitHub Actions 2. Potomac D

11:05am EDT

{shinyslack}: Connecting Slack Teams to Shiny Apps 2. Potomac D

11:10am EDT

leafdown: Interactive multi-layer maps in Shiny apps 2. Potomac D

11:15am EDT

Say Hello! to Multilingual Shiny Apps 2. Potomac D

11:20am EDT

Let's start at the beginning - bits to character encoding in R 2. Potomac D

11:25am EDT

Implications of R syntax in intro stats 2. Potomac D

11:30am EDT

Running Shiny without a server 1. Potomac C

11:35am EDT

Visualizing distributions and uncertainty using ggdist 2. Potomac D

11:40am EDT

The Future of missing data 2. Potomac D

12:00pm EDT

Lunch 5. Maryland Birds of a Feather - UseR Group Organizers Maryland 4, 5, & 6

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 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 Digging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal government 1. Potomac C Creating a Design System for Shiny and RMarkdown 2. Potomac D

2:30pm EDT

Small Team Large Organization: Building Impactful Shiny Dashboards at NIH 4. National Harbor 10+11 Dashboard-Builder: Building Shiny Apps without writing any code 2. Potomac D

3:20pm EDT

Cracking open ggplot internals with {ggtrace} 4. National Harbor 10+11

3:40pm EDT

A Robust Framework for Automated Shiny App Testing 2. Potomac D

4:00pm EDT

{shinytest2}: Regression testing for Shiny applications 2. Potomac D

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