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

rstudio::conf(2022)

Nathan Olson

NIST
Research Biologist

As part of working on the Genome In A Bottle project I wear many hat for our team at NIST. From Bioinformatics to Sysadmin and DevOps I like to do a little bit of everything. I am passionate about reproducible research and data management and I never pass up an opportunity to do a little exploratory data analysis or make publication quality figures using ggplot.

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

Book Signing Reception 3. Cherry Blossom

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

R Package Assessment: Lessons from Pharma 3. Cherry Blossom

11:20am EDT

Dive Deep into Metadata with Tplyr 3. Cherry Blossom R, Python, and Tableau: A Love Triangle 1. Potomac C tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Packages and Process 3. Cherry Blossom Demystifying MLOps 2. Potomac D

12:00pm EDT

Birds of a Feather Lunch - Variegated Groups 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

1:50pm EDT

Scaling and automating R workflows with Kubernetes and Airflow 3. Cherry Blossom Garbage Data, And What To Do About Them 4. National Harbor 10+11 Oddly Satisfying - Find delight in the mundane 1. Potomac C

2:10pm EDT

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom 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

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

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

4:00pm EDT

dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11 Highlights of the knitr package from the past two years 1. Potomac C The tidysynthesis R package 2. Potomac D

4:30pm EDT

The Past and Future of Shiny 0. Potomac A+B

5:30pm EDT

Birds of a Feather Happy Hour - Pharma / Life Sciences Maryland 1, 2, & 3

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

7:30am EDT

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

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

10:50am EDT

How to be a pollinatoR 3. Cherry Blossom

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

11:30am EDT

An Introduction to the Apple Health Export 4. National Harbor 10+11

11:35am EDT

Visualizing distributions and uncertainty using ggdist 2. Potomac D

12:00pm EDT

Birds of a Feather - ML/AI with Amazon SageMaker Maryland 1, 2, & 3

1:30pm EDT

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

1:50pm EDT

Building Accessible Lessons with R and Friends 3. Cherry Blossom 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 Digging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal government 1. Potomac C Creating a Design System for Shiny and RMarkdown 2. Potomac D

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

Cracking open ggplot internals with {ggtrace} 4. National Harbor 10+11 These are a few of my favorite things (about Quarto presentations) 1. Potomac C

3:40pm EDT

From summarizing projects to setting tags, uses of parsing R files 4. National Harbor 10+11 Literate Programming With Jupyter Notebooks and Quarto 1. Potomac C

4:00pm EDT

An introduction to R7 4. National Harbor 10+11 Websites & Books & Blogs, oh my! Creating Rich Content with Quarto 1. Potomac C