Publishing Analytics with Quarto – Dr. Stephan Koenig (Dec 1, 2022)

In this LAVA session, Dr. Stephan Koenig will be leading us through the use of the open source publication tool, Quarto.

Presentation slides from this session can be found at:https://stephan-koenig.github.io/lava-quarto/

From Stephan:

Description:

An essential part of analytics is the communication of insights to colleagues and stakeholders. In this LAVA session, we will look at Quarto, an open-source scientific and technical publishing system that combines code and its outputs with descriptive text and exports them to many formats, including HTML, PDF and MS Word. We will cover standard tools to author Quarto documents, how to format them using Markdown, and how to include code with R as an example (Python and Julia are also supported).

Preparation (entirely optional):

We will briefly cover Markdown but will only have time to go over some things in the basic syntax. If you would like to familiarize yourself with Markdown beforehand, here is an excellent interactive tutorial (10–20 min): https://commonmark.org/help/tutorial/

If you would like to work along the session to create a Quarto document, you have two options:

1) Use a cloud-based system by creating a free posit Cloud account (recommended, formerly RStudio Cloud): https://posit.cloud/plans/free

Then check if you can open this project: https://posit.cloud/content/4332583

2) Perform a local install following the pre-work instructions of this official Quarto workshop: https://rstudio-conf-2022.github.io/get-started-quarto/#pre-work

Official resources:

Official Quarto website: https://quarto.org/

YouTube: Welcome to Quarto Workshop!: https://www.youtube.com/watch?v=yvi5uXQMvu4

Get started with Quarto Workshop: https://rstudio-conf-2022.github.io/get-started-quarto/

Workshop material: https://github.com/jthomasmock/quarto-workshop

About Myself

Stephan previously worked as a Postdoctoral Teaching and Learning Fellow in the Microbiology and Immunology Department at UBC and coordinated the Experiential Data science for Undergraduate Cross-disciplinary Education (EDUCE) program. He designed and delivered data science-focused modules across multiple MICB courses, conducted and analyzed surveys, and maintained open education resources. He joined Skylight (Science Centre of Learning and Teaching) as the Science Education Specialist in the Computer Science Department and supports instructors with the migration to a new online assessment tool offering students the opportunity to practice with randomized questions for mastery learning and more flexibility when scheduling exams in a new computer-based testing facility. He focuses on the impact of learning technologies on student learning, well-being and inclusivity and how their implementation and course design should inform each other.