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rstudio::conf(2022)

MC

Michael Canova

U.S. Geological Survey
Hydrologist / Data Management Specialist
Tulsa, OK

9:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

11:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

3:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

11:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

3:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

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

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Demystifying MLOps 2. Potomac D

12:00pm EDT

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

1:30pm EDT

Remote Content Execution with RStudio Connect and Kubernetes 2. Potomac D

1:50pm EDT

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

2:30pm EDT

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

3:20pm EDT

Exploring Query Optimization: How a few lines of code can save hours of time 4. National Harbor 10+11 Quarto for the Curious 1. Potomac C

3:40pm EDT

dm: Analyze, build and deploy relational data models 4. National Harbor 10+11 Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

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

7:30am EDT

Breakfast 5. Maryland

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

Cross-Industry Anomaly Detection Solutions with R and Shiny 3. Cherry Blossom

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

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

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

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

3:40pm EDT

Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R 3. Cherry Blossom A Robust Framework for Automated Shiny App Testing 2. Potomac D

4:00pm EDT

Websites & Books & Blogs, oh my! Creating Rich Content with Quarto 1. Potomac C {shinytest2}: Regression testing for Shiny applications 2. Potomac D