In a world awash with data, the ability to think and compute with data has become an important skill for students in many fields. For that reason, inclusion of some level of statistical computing in many introductory-level courses has grown more common in recent years. Existing literature has documented multiple success stories of teaching statistics with R, bolstered by the capabilities of R Markdown. In this article, we present an in-class data visualization activity intended to expose students to R and R Markdown during the first week of an introductory statistics class. The activity begins with a brief lecture on exploratory data analysis in R. Students are then placed in small groups tasked with exploring a new dataset to produce three visualizations that describe particular insights that are not immediately obvious from the data. Upon completion, students will have produced a series of univariate and multivariate visualizations on a real dataset and practiced describing them.

翻译：在一个充满数据的世界中,思考和计算数据的能力已成为学生在许多领域的重要技能。因此,将某种程度的统计计算纳入许多入门课程近年来越来越普遍。现有文献记录了在RMarkdown能力的支持下与R教学统计数据的多个成功事例。在本篇文章中,我们介绍了一个类内数据可视化活动,目的是让学生在入门统计班第一周接触R和R Markdown。该活动首先在R.的探索性数据分析中进行简短的演讲。然后,学生们被安排在小小组中,负责探索新的数据集,以产生三个可视化数据,描述数据无法立即显示的具体洞见。完成后,学生们将在真实的数据集上制作一系列单词和多变的可视化图像,并练习描述它们。