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rstudio::conf(2022)

Pedro Silva

Appsilon

https://pedrocsilva.com

Contact Me

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

11:40am EDT

Packages and Process 3. Cherry Blossom

12:00pm EDT

Lunch 5. Maryland

1:50pm EDT

Scaling and automating R workflows with Kubernetes and Airflow 3. Cherry Blossom

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 Robust R Deployments: Building a Pipeline from RStudio to Production 2. Potomac D

3:40pm EDT

What they forgot to teach you about becoming an open source contributor 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

10:35am EDT

WebR: R compiled for WebAssembly and running in the browser 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

11:15am EDT

Say Hello! to Multilingual 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

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

4:30pm EDT

Data science training in communities with limited technology resources and opportunities 0. Potomac A+B