Year: 2025
Type: article
Abstract: Quarto is an open‐source system that is useful for creating scientific teaching resources, particularly statistical resources, in various formats. Quarto is the next‐generation version of R Markdown, and it can produce content using a variety of programming languages, including R, Python, Julia, and Observable JS. The main purpose of this article is to showcase the benefits of using Quarto, to provide a quick‐start guide for the system, and to present and evaluate feedback from students using Quarto‐produced resources. An overview of Quarto and its capabilities will be provided, followed by examples of resources created by the system. Particular focus will be made on its advantages over more traditional approaches, which include executing common coding languages and interactivity. This article is based on the author's experiences of using Quarto to create resources for teaching Statistics to post‐graduate Data Science students and to second‐year undergraduate Mathematics students.
Source: Teaching Statistics
DOI: 10.1111/test.12409
Author: Kristian Evans
Institution: Swansea University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $2,900
OpenAlex ID: W4412380948