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rstudio::conf(2022)

Sade Chessidy

The Movement Cooperative
Project Lead Data and Technology Strategist

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

R for People Analytics Chesapeake E

11:00am EDT

R for People Analytics Chesapeake E

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

R for People Analytics Chesapeake E

3:30pm EDT

R for People Analytics Chesapeake E

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

R for People Analytics Chesapeake E

11:00am EDT

R for People Analytics Chesapeake E

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

R for People Analytics Chesapeake E

3:30pm EDT

R for People Analytics Chesapeake E

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

censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile. 4. National Harbor 10+11

11:40am EDT

Packages and Process 3. Cherry Blossom

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

Making Data Pipelines in R: A Story From A “Self-Taught” Perspective 4. National Harbor 10+11

1:50pm EDT

Garbage Data, And What To Do About Them 4. National Harbor 10+11

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

3:20pm EDT

Quarto for the Curious 1. Potomac C

3:40pm EDT

Sometimes you just need words 1. Potomac C

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

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

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

10:30am EDT

Developing internal tools for multi-lingual teams 1. Potomac C

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

11:05am EDT

{shinyslack}: Connecting Slack Teams to Shiny Apps 2. Potomac D

11:10am EDT

Yes, you can use Python with RStudio Team! 1. Potomac C leafdown: Interactive multi-layer maps in Shiny apps 2. Potomac D

11:15am EDT

Say Hello! to Multilingual Shiny Apps 2. Potomac D

11:30am EDT

Running Shiny without a server 1. Potomac C

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

A Journey to Data Science: Tools for Equity and Diversity in STEM 3. Cherry Blossom 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

2:10pm EDT

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

3:20pm EDT

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

3:40pm EDT

Literate Programming With Jupyter Notebooks and Quarto 1. Potomac C

4:00pm EDT

Websites & Books & Blogs, oh my! Creating Rich Content with Quarto 1. Potomac C

4:30pm EDT

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

5:30pm EDT

R-Ladies Reception Maryland 1, 2, & 3