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rstudio::conf(2022)

Ian Moore

Appsilon
Technical Evangelist
Houston, Tx

11:00am EDT

R Package Assessment: Lessons from Pharma 3. Cherry Blossom

11:20am EDT

R, Python, and Tableau: A Love Triangle 1. Potomac C

1:30pm EDT

How Anchorage Built Alaska’s Vaccine Finder with R 3. Cherry Blossom 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

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom

2:30pm EDT

Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story 3. Cherry Blossom

3:20pm EDT

What they forgot to teach you about starting a business with R 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

9:00am EDT

Hello Quarto: Share • Collaborate • Teach • Reimagine 0. Potomac A+B

10:30am EDT

I made an entire e-commerce platform on Shiny 4. National Harbor 10+11

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

11:30am EDT

Running Shiny without a server 1. Potomac C

1:30pm EDT

A new way to build your Shiny app's UI 2. Potomac D

1:50pm EDT

Designing for people is hard 2. Potomac D

2:10pm EDT

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

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