The Quarto half of a 1-hour session for Love Data Week 2024, which will overview Quarto and JupyterLab, two popular tools for integrating code, documentation, and text into reproducible research projects. This workshop will teach you the basics of using Quarto and Jupyter Notebooks to improve the legibility of your code in R, Python, or other programming languages, focusing on features that help you create reproducible research and code for technical and non-technical audiences.
Website: dataservices.library.jhu.edu/
Contact us: [email protected]
JHU Data Services, part of the Johns Hopkins University Sheridan Libraries, helps the JHU community find, use, visualize, manage, and share data. We offer live webinars and self-paced online trainings on computational research and coding, GIS, data management, data visualization, and more. See all of our training topics on our website.
This repository contains materials for one of our live webinars open to JHU students, faculty, and staff. Please contact us with any questions.
As of March 2020, Data Services workshops are being held virtually on Zoom. See our calendar to register for upcoming workshops.
Before the class, follow the installation instructions to download all required software and tools for this workshop:
- In-ClassScripts: This folder contains code files you will need for the workshop:
- MedicalDataNotebook.qmd: the final version of the Quarto document created in the demo
- MedicalDataNotebook.html: The HTML report rendered from the Quarto document
- PresentationMaterials: This folder contains slides and other presentation materials used in the workshop
- Resources: This folder contains cheatsheets to assist you during the workshop and links to external sources for you to continue your learning
The presentation materials are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), attributable to Data Services, Johns Hopkins University.
See LICENSE file for additional code licensing and re-use information.
The images, external resources, and cheatsheets linked in this repository may have other licenses and terms of use.
Please cite this material as:
Johns Hopkins University Data Services. February 13, 2024. Quarto for Reproducible Research. https://github.com/jhu-data-services/ldw24-quarto.