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rstudio::conf(2022)

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 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

Dive Deep into Metadata with Tplyr 3. Cherry Blossom Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile. 4. National Harbor 10+11 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 Designing a Socially-Critical Data Science Course 4. National Harbor 10+11 Building a client portal app for a mortgage management group with embedded Power BI reports 1. Potomac C Demystifying MLOps 2. Potomac D

1:30pm EDT

How Anchorage Built Alaska’s Vaccine Finder with R 3. Cherry Blossom 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 Garbage Data, And What To Do About Them 4. National Harbor 10+11 Oddly Satisfying - Find delight in the mundane 1. Potomac C 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 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

Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story 3. Cherry Blossom 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

What they forgot to teach you about starting a business with R 3. Cherry Blossom 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 Dissecting the quick fix: Analysing tech-solutionist solutions 2. Potomac D

3:40pm EDT

What they forgot to teach you about becoming an open source contributor 3. Cherry Blossom 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

What they forgot to teach you about industry transitions from academia (WTF AITA) 3. Cherry Blossom 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

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 The Benefit of Talking to the "Non-Datas" 3. Cherry Blossom I made an entire e-commerce platform on Shiny 4. National Harbor 10+11 Developing internal tools for multi-lingual teams 1. Potomac C

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 How to be a pollinatoR 3. Cherry Blossom The worlds smallest R environment? Running R on a $15 computer 4. National Harbor 10+11 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

leafdown: Interactive multi-layer maps in Shiny apps 2. Potomac D Enterprise-Level Data Science Success 3. Cherry Blossom A touch of R in Robotics 4. National Harbor 10+11 Yes, you can use Python with RStudio Team! 1. Potomac C

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

Comparing package versions with Diffify 2. Potomac D Cross-Industry Anomaly Detection Solutions with R and Shiny 3. Cherry Blossom An Introduction to the Apple Health Export 4. National Harbor 10+11 Running Shiny without a server 1. Potomac C

11:35am EDT

Visualizing distributions and uncertainty using ggdist 2. Potomac D

11:40am EDT

The Future of missing data 2. Potomac D

1:30pm EDT

A Journey to Data Science: Tools for Equity and Diversity in STEM 3. Cherry Blossom Cultivating Your Own R Ecosystem as a Solo Contributor 4. National Harbor 10+11 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

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 Tidy Transit: Real Life Data Modeling for Public Transportation 1. Potomac C 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

We R KaggleRs - At the Intersection of Data Science Communities 3. Cherry Blossom 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

Becoming Creative: How I Designed a Quilt with R 3. Cherry Blossom 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 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 A Robust Framework for Automated Shiny App Testing 2. Potomac D

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 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