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rstudio::conf(2022)

Melissa Van Bussel

Statistics Canada
Analyst
Ottawa, Canada

https://melissavanbussel.com/

Contact Me

Melissa Van Bussel is an accredited Associate Statistician (A. Stat.) and an Analyst at Statistics Canada, Canada's official statistical agency. She completed her M. Sc. in Statistics at Carleton University, and her B. Sc. H. in Mathematics and Computing Systems with a Specialization in Statistics at Trent University. Melissa is passionate about all things Data Science and Teaching (and especially where those two things interact!). She makes educational YouTube videos in her spare time, covering topics such as R programming and Machine Learning.

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

From R Markdown to Quarto National Harbor 12+13

11:00am EDT

From R Markdown to Quarto National Harbor 12+13

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

From R Markdown to Quarto National Harbor 12+13

3:30pm EDT

From R Markdown to Quarto National Harbor 12+13

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

From R Markdown to Quarto National Harbor 12+13

11:00am EDT

From R Markdown to Quarto National Harbor 12+13

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

From R Markdown to Quarto National Harbor 12+13

3:30pm EDT

From R Markdown to Quarto National Harbor 12+13

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

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

9:00am EDT

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

11:00am EDT

The R integration in Power BI: Why R developers should be Interested 1. Potomac C

11:20am EDT

Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile. 4. National Harbor 10+11

11:40am EDT

Designing a Socially-Critical Data Science Course 4. National Harbor 10+11

12:00pm EDT

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

1:30pm EDT

How Anchorage Built Alaska’s Vaccine Finder with R 3. Cherry Blossom

1:50pm EDT

Oddly Satisfying - Find delight in the mundane 1. Potomac C

2:10pm EDT

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

2:30pm EDT

Saving 1,000 hours with RStudio: selling R in your workplace 1. Potomac C

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 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

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 Developing internal tools for multi-lingual teams 1. Potomac C

10:50am EDT

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

11:10am EDT

Yes, you can use Python with RStudio Team! 1. Potomac C

11:30am EDT

Running Shiny without a server 1. Potomac C

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

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

2:30pm EDT

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

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

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