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rstudio::conf(2022)

Tan Ho

@_TanHo
Ottawa, Canada

Contact Me

I'm a data enthusiast from Ottawa, Canada who loves R 🚀, Shiny ✨, fantasy football 🏈 and carving pumpkins 🎃

I started DynastyProcess.com and ffverse, maintain nflverse data and packages, stream on Twitch, and mentor at R4DS Slack Community.

Away from my keyboard, I enjoy rowing 🚣️, skiing ⛷, lifting weights 🏋️, and hanging out with my dog Jasper 🐶

My Friends

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Getting Started with Quarto Maryland 2

11:00am EDT

Getting Started with Quarto Maryland 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Getting Started with Quarto Maryland 2

3:30pm EDT

Getting Started with Quarto Maryland 2

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Getting Started with Quarto Maryland 2

11:00am EDT

Getting Started with Quarto Maryland 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Getting Started with Quarto Maryland 2

3:30pm EDT

Getting Started with Quarto Maryland 2

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

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

11:00am EDT

censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

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

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

2:30pm EDT

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

3:40pm EDT

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

4:00pm EDT

dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11

4:30pm EDT

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

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

7:30am EDT

Breakfast 5. Maryland

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

10:55am 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

Enterprise-Level Data Science Success 3. Cherry Blossom

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

An Introduction to the Apple Health Export 4. National Harbor 10+11 Running Shiny without a server 1. Potomac C

12:00pm EDT

Birds of a Feather Lunch - Variegated Groups 5. Maryland

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

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

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

5:30pm EDT

R-Ladies Reception Maryland 1, 2, & 3