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rstudio::conf(2022)

A

Alessandro

Karolinska Institutet
Post-Doctoral Researcher in Biostatistics
Stockholm, Sweden

https://ellessenne.xyz

Contact Me

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 censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Packages and Process 3. Cherry Blossom

1:30pm EDT

Do It For Yourself: Creating a data input platform using R 1. Potomac C

1:50pm EDT

Garbage Data, And What To Do About Them 4. National Harbor 10+11

2:10pm EDT

Project Immortality: Using GitHub To Make Your Work Live Forever 4. National Harbor 10+11

3:20pm EDT

Quarto for the Curious 1. Potomac C

3:40pm EDT

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

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

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

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

The worlds smallest R environment? Running R on a $15 computer 4. National Harbor 10+11

11:00am EDT

Making awesome automations with GitHub Actions 2. Potomac D

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

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

1:30pm EDT

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 Designing for people is hard 2. Potomac D

2:10pm EDT

You should be using renv 4. National Harbor 10+11 Creating a Design System for Shiny and RMarkdown 2. Potomac D

3:20pm EDT

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

4:00pm EDT

An introduction to R7 4. National Harbor 10+11

4:30pm EDT

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