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rstudio::conf(2022)

Trevin Flickinger

COHHIO
HMIS Data Analyst
Columbus, OH

Contact Me

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Tidy Tools Chesapeake F

11:00am EDT

Building Tidy Tools Chesapeake F

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Tidy Tools Chesapeake F

3:30pm EDT

Building Tidy Tools Chesapeake F

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Tidy Tools Chesapeake F

11:00am EDT

Building Tidy Tools Chesapeake F

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Tidy Tools Chesapeake F

3:30pm EDT

Building Tidy Tools Chesapeake F

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

Breakfast 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

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

1:30pm EDT

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

1:50pm EDT

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

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

3:20pm EDT

Quarto for the Curious 1. Potomac C

4:00pm EDT

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

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

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

The worlds smallest R environment? Running R on a $15 computer 4. National Harbor 10+11

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

11:40am EDT

The Future of missing data 2. Potomac D

12:00pm EDT

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

1:30pm EDT

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

1:50pm EDT

Tidy Transit: Real Life Data Modeling for Public Transportation 1. Potomac C Designing for people is hard 2. Potomac D

2:10pm EDT

Everything I learned about community building, I learned from growing up in a restaurant 3. Cherry Blossom You should be using renv 4. National Harbor 10+11 Creating a Design System for Shiny and RMarkdown 2. Potomac D

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

Introducing Rhino: Shiny application framework for enterprise 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 {shinytest2}: Regression testing for Shiny applications 2. Potomac D