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rstudio::conf(2022)

David Onder

Haywood Community College
Director of IERG
Clyde

9:00am EDT

Good practices for applied machine learning - from model development to model deployment 0. Potomac A+B

11:00am EDT

The R integration in Power BI: Why R developers should be Interested 1. Potomac C

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

2:10pm EDT

Project Immortality: Using GitHub To Make Your Work Live Forever 4. National Harbor 10+11

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 Saving 1,000 hours with RStudio: selling R in your workplace 1. Potomac C Robust R Deployments: Building a Pipeline from RStudio to Production 2. Potomac D

3:20pm EDT

What they forgot to teach you about starting a business with R 3. Cherry Blossom Quarto for the Curious 1. Potomac C

3:40pm EDT

What they forgot to teach you about becoming an open source contributor 3. Cherry Blossom dm: Analyze, build and deploy relational data models 4. National Harbor 10+11 Sometimes you just need words 1. Potomac C Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

What they forgot to teach you about industry transitions from academia (WTF AITA) 3. Cherry Blossom dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11 The tidysynthesis R package 2. Potomac D

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

10:50am EDT

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

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 Comparing package versions with Diffify 2. Potomac D

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

2:10pm EDT

You should be using renv 4. National Harbor 10+11

2:30pm EDT

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

3:20pm EDT

These are a few of my favorite things (about Quarto presentations) 1. Potomac C

3:40pm EDT

From summarizing projects to setting tags, uses of parsing R files 4. National Harbor 10+11 Literate Programming With Jupyter Notebooks and Quarto 1. Potomac C

4:00pm EDT

An introduction to R7 4. National Harbor 10+11 Websites & Books & Blogs, oh my! Creating Rich Content with Quarto 1. Potomac C