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SCOTS: The Searchable Collection of Time Series

机译:SCOTS:时间序列的可搜索集合

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Instructors searching for interesting time series data to use for class illustrations or assignments can draw from the data files that accompany their text books. They can also search for data from annual reports, trade organizations, government entities, and other public sources. However, the amount of data accompanying textbooks is limited, and determining what public data might be available and then finding it is not simple, making it time consuming to find new examples for large classes or multiple offerings of a course. The search becomes more complicated for the instructor who needs to find data with specific types of trend or seasonality to illustrate concepts for students. This article presents the SCOTS master table, a searchable Excel file that provides information about and links to a curated collection of real time series data files stored in Excel format. Instructors can easily filter the list to find a time series with the kinds of features they want and download the Excel file to use in class. Many of the data files in this collection have been used for class assignments, and examples of assignment questions are included in the article.
机译:搜索有趣的时间序列数据以用于课堂插图或作业的讲师可以从其教科书随附的数据文件中提取。他们还可以从年度报告,贸易组织,政府实体和其他公共资源中搜索数据。但是,伴随教科书的数据量是有限的,确定哪些公共数据可用然后找到它并不容易,这使得为大型课程或课程的多个课程寻找新的示例非常耗时。对于需要查找具有特定趋势或季节性类型的数据以向学生说明概念的讲师,搜索变得更加复杂。本文介绍了SCOTS主表,这是一个可搜索的Excel文件,它提供有关以Excel格式存储的实时序列数据文件的精选信息并链接到这些信息。教师可以轻松地过滤列表以查找具有所需功能的时间序列,并下载Excel文件以供课堂使用。此集合中的许多数据文件已用于类分配,并且本文中包含分配问题的示例。

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