教与学数据可视化：理念与方法
Teaching and Learning Data Visualization: Ideas and Assignments
摘要：
本文讨论了如何使统计图形成为本科统计课程中一个更加突出的元素。重点是几种不同类型的作业，说明如何将图形纳入一门课程，在教学上有意义的方式。这些作业包括让学生解构和重建情节，复制大师级的图表，创建一分钟的视觉启示，将表格转换为“图片”，并开发交互式可视化，例如，虚拟地球作为一个绘图画布。除了描述每个任务的目标和细节，我们还讨论了更广泛的图形和关键概念，我们认为值得列入统计课程的主题。我们主张，需要更多地关注这一基本领域的统计在各级，从入门本科到研究生水平的课程。随着数据可视化工具的迅速崛起，例如，谷歌趋势，GapMinder，ManyEyes和Tableau，以及媒体中图形的使用越来越多，理解良好统计图形的原理，并能够创建信息可视化是统计教育的一个越来越重要的方面。
英文摘要：
This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments that exemplify how to incorporate graphics into a course in a pedagogically meaningful way. These assignments include having students deconstruct and reconstruct plots, copy masterful graphs, create one-minute visual revelations, convert tables into `pictures', and develop interactive visualizations with, e.g., the virtual earth as a plotting canvas. In addition to describing the goals and details of each assignment, we also discuss the broader topic of graphics and key concepts that we think warrant inclusion in the statistics curricula. We advocate that more attention needs to be paid to this fundamental field of statistics at all levels, from introductory undergraduate through graduate level courses. With the rapid rise of tools to visualize data, e.g., Google trends, GapMinder, ManyEyes, and Tableau, and the increased use of graphics in the media, understanding the principles of good statistical graphics, and having the ability to create informative visualizations is an ever more important aspect of statistics education.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
