Скачать или смотреть Teaching data visualization with R entirely in Quarto (Claus Wilke, UT Austin) | posit::conf(2025)

Claus Wilke from UT Austin discusses the challenges of teaching data visualization using R, emphasizing the need for constant adaptation and simplification. They highlight the importance of selecting appropriate tools, such as Quarto, to enhance the learning experience and streamline the teaching process. The instructor notes that interactive exercises and a well-organized website are crucial for student engagement and access to resources. They also address the technical complexities involved in using multiple tools and the necessity of web development skills. Ultimately, the instructor encourages educators to embrace new technologies like Quarto to improve their teaching methods.

Teaching data visualization with R entirely in Quarto

💬 Speaker(s): Claus Wilke

📝 Abstract:

When teaching a programming course, we may want to employ several different modes of content delivery. First, slides. (And it should be easy to integrate code and code output into them.) Second, practical exercises, where students can try out programming concepts in a guided manner. Third, an in-class live programming environment, to ad-lib during lectures. Fourth, a framework for graded assignments. Fifth, a class website. All of these components can be created with Quarto and webR. I will explain how I used these technologies for my data visualization class at UT Austin, covering how the different components work, what issues I encountered, and what I think best practices are if you want to create a similar course yourself.

📁 Materials - https://github.com/clauswilke/PositCo... posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-m...