This event has ended. Visit the official site or create your own event on Sched.

rstudio::conf(2022)

Petek Ozgul

Emory University - Brain Health
Interim IT Director

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

How Data Science with R Works for Systems Administrators Maryland 6

11:00am EDT

How Data Science with R Works for Systems Administrators Maryland 6

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

How Data Science with R Works for Systems Administrators Maryland 6

3:30pm EDT

How Data Science with R Works for Systems Administrators Maryland 6

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

How Data Science with R Works for Systems Administrators Maryland 6

11:00am EDT

How Data Science with R Works for Systems Administrators Maryland 6

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

How Data Science with R Works for Systems Administrators Maryland 6

3:30pm EDT

How Data Science with R Works for Systems Administrators Maryland 6

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

Breakfast 5. Maryland Academic / Research - Birds of a Feather Maryland 1, 2, & 3

9:00am EDT

Good practices for applied machine learning - from model development to model deployment 0. Potomac A+B

11:00am EDT

The R integration in Power BI: Why R developers should be Interested 1. Potomac C

11:20am EDT

R, Python, and Tableau: A Love Triangle 1. Potomac C

11:40am EDT

Packages and Process 3. Cherry Blossom Building a client portal app for a mortgage management group with embedded Power BI reports 1. Potomac C

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 Do It For Yourself: Creating a data input platform using R 1. Potomac C Remote Content Execution with RStudio Connect and Kubernetes 2. Potomac D

1:50pm EDT

Scaling and automating R workflows with Kubernetes and Airflow 3. Cherry Blossom Oddly Satisfying - Find delight in the mundane 1. Potomac C

2:10pm EDT

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

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

3:20pm EDT

Quarto for the Curious 1. Potomac C

3:40pm EDT

dm: Analyze, build and deploy relational data models 4. National Harbor 10+11

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

5:30pm EDT

Birds of a Feather Happy Hour - Healthcare Maryland 4, 5, & 6

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

The Benefit of Talking to the "Non-Datas" 3. Cherry Blossom

10:50am EDT

Achieving a seamless workflow between R, Python and SAS from within RStudio 1. Potomac C

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

11:10am EDT

Enterprise-Level Data Science Success 3. Cherry Blossom Yes, you can use Python with RStudio Team! 1. Potomac C

11:30am EDT

Running Shiny without a server 1. Potomac C Comparing package versions with Diffify 2. Potomac D

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

Model Migration: from Excel to R 1. Potomac C A new way to build your Shiny app's UI 2. Potomac D

1:50pm EDT

Demystifying the art of creating custom libraries for your organization 4. National Harbor 10+11 Designing for people is hard 2. Potomac D

2:10pm EDT

You should be using renv 4. National Harbor 10+11

2:30pm EDT

Small Team Large Organization: Building Impactful Shiny Dashboards at NIH 4. National Harbor 10+11 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 Introducing Rhino: Shiny application framework for enterprise 2. Potomac D

3:40pm EDT

Literate Programming With Jupyter Notebooks and Quarto 1. Potomac C 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

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