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

rstudio::conf(2022)

David Meza

NASA
AIML R&D Lead, Sr. Data Scientist
Washington, DC

https://linkedin.com/in/davidmeza1/

Contact Me

Experienced Program Manager with a demonstrated history of working in the aerospace industry and government sector. Skilled in Data Science, Operations Management, IT Project Portfolio Management, Continuous Improvement, and Project Implementation. Strong program and project management professional with a Doctor of Education (Ed.D.) focused in Curriculum and Instruction with a focus on STEM from University of Houston-Clear Lake.

My Friends

9:00am EDT

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

11:00am EDT

Translating from {tidymodels} and scikit-learn: Lessons from a 'bilingual' course. 4. National Harbor 10+11 The R integration in Power BI: Why R developers should be Interested 1. Potomac C censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

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

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 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 Project Immortality: Using GitHub To Make Your Work Live Forever 4. National Harbor 10+11 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 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 Sometimes you just need words 1. Potomac C 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 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

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

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 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

10:50am 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

11:05am 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

11:30am 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

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

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

Everything I learned about community building, I learned from growing up in a restaurant 3. Cherry Blossom 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 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 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

Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R 3. Cherry Blossom Literate Programming With Jupyter Notebooks and Quarto 1. Potomac C A Robust Framework for Automated Shiny App Testing 2. Potomac D

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 {shinytest2}: Regression testing for Shiny applications 2. Potomac D

4:30pm EDT

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