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rstudio::conf(2022)

Jon Harmon

R4DS Online Learning Community/Macmillan Learning
Admin/Principal Data Scientist
Austin, Texas

https://r4ds.io/rstudio2022

Contact Me

I created the Content Science team at Macmillan Learning. We're interested in applying modeling techniques (including various NLP techniques and performance analysis such as IRT) to learn about and improve our educational content.I am also the volunteer administrator of the R4DS Online Learning Community. Through our Slack community, we offer free help with R from volunteer experts, as well as a number of book clubs (see r4ds.io/youtube for past clubs, and r4ds.io/join to join the Slack).

My Friends

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

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Demystifying MLOps 2. Potomac D

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

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

3:20pm EDT

Dissecting the quick fix: Analysing tech-solutionist solutions 2. Potomac D

3:40pm EDT

Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

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

7:30am EDT

Birds of a Feather Breakfast - Variegated Groups 5. Maryland Education & Teaching - Birds of a Feather Maryland 1, 2, & 3

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

Accelerating geospatial computing using Apache Arrow 2. Potomac D

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 Comparing package versions with Diffify 2. Potomac D

11:35am EDT

Visualizing distributions and uncertainty using ggdist 2. Potomac D

11:40am EDT

The Future of missing data 2. Potomac D

12:00pm EDT

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

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

3:20pm EDT

Cracking open ggplot internals with {ggtrace} 4. National Harbor 10+11

3:40pm EDT

From summarizing projects to setting tags, uses of parsing R files 4. National Harbor 10+11

4:00pm EDT

The Polygons of Another World - realtime interactive rendering in R 3. Cherry Blossom 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

5:30pm EDT

R-Ladies Reception Maryland 1, 2, & 3