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rstudio::conf(2022)

Viktor Szabados

Merck (MSD in Europe)
Senior Data Scientist
Czech Republic

Contact Me

Passionate data scientist who likes challenges 😊.

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

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 tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Demystifying MLOps 2. Potomac D

1:30pm EDT

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

2:10pm EDT

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

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

Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

Highlights of the knitr package from the past two years 1. Potomac C

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

I made an entire e-commerce platform on Shiny 4. National Harbor 10+11

10:50am EDT

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

11:15am EDT

Say Hello! to Multilingual Shiny Apps 2. Potomac D

11:40am EDT

The Future of missing data 2. Potomac D

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

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

A Robust Framework for Automated Shiny App Testing 2. Potomac D

4:00pm EDT

{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