统计课堂中的动态数据

Johanna S. Hardin
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引用次数: 4

摘要

长期以来,在课堂上使用真实数据的呼吁意味着,在任何学生处理观察结果之前,使用经过筛选、清理和整理的数据集。然而,统计学教学的一个重要部分应该包括从互联网上实际检索数据。如今,有许多不同的数据源,这些数据源由托管数据网站的组织不断更新。用于下载此类动态数据的R工具已经得到了改进,即使在入门级统计课程中也可以访问这些数据。我们提供了五种对动态数据的全面分析,以及另外九种可以带入课堂的动态数据来源。我们工作的目标是证明使用动态数据可以有一个很短的学习曲线,甚至对于不熟悉环境的入门学生或教师也是如此。所提供的示例不太可能培养出数据抓取专家,但它们应该有助于激励学生和教师更积极地使用在线数据源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Data in the Statistics Classroom
The call for using real data in the classroom has long meant using datasets which are culled, cleaned, and wrangled prior to any student working with the observations. However, an important part of teaching statistics should include actually retrieving data from the Internet. Nowadays, there are many different sources of data that are continually updated by the organization hosting the data website. The R tools to download such dynamic data have improved in such a way to make accessing the data possible even in an introductory statistics class. We provide five full analyses on dynamic data as well as an additional nine sources of dynamic data that can be brought into the classroom. The goal of our work is to demonstrate that using dynamic data can have a short learning curve, even for introductory students or faculty unfamiliar with the landscape. The examples provided are unlikely to create expert data scrapers, but they should help motivate students and faculty toward more engaged use of online data sources.
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