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rstudio::conf(2022)

11:00am EDT

R Package Assessment: Lessons from Pharma 3. Cherry Blossom

11:20am EDT

Dive Deep into Metadata with Tplyr 3. Cherry Blossom

11:40am EDT

Packages and Process 3. Cherry Blossom

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 Oddly Satisfying - Find delight in the mundane 1. Potomac C Data science in your customers hands on a budget and a deadline: Publishing Customer Facing Products with RStudio Connect 2. Potomac D

2:10pm EDT

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom Project Immortality: Using GitHub To Make Your Work Live Forever 4. National Harbor 10+11 Advocating for Automation: Adapting Current Tools in Environmental Science through R 1. Potomac C R Shiny - From Conception to the Cloud 2. Potomac D

2:30pm EDT

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

4:00pm EDT

dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11

10:30am EDT

I made an entire e-commerce platform on Shiny 4. National Harbor 10+11 Developing internal tools for multi-lingual teams 1. Potomac C

11:00am EDT

Making awesome automations with GitHub Actions 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

2:10pm EDT

Digging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal government 1. Potomac C

2:30pm EDT

Save an ocean of time: streamline data wrangling with R 1. Potomac C