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SCOTS: The Searchable Collection of Time Series

Author

Listed:
  • Constance H. McLaren

    (Scott College of Business, Indiana State University, Terre Haute, Indiana 47809)

  • Bruce J. McLaren

    (Scott College of Business, Indiana State University, Terre Haute, Indiana 47809)

Abstract

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.

Suggested Citation

  • Constance H. McLaren & Bruce J. McLaren, 2018. "SCOTS: The Searchable Collection of Time Series," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 12-22, September.
    • Handle: RePEc:inm:orited:v:19:y::i:1:p:12-22
    DOI: 10.1287/ited.2017.0188
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    References listed on IDEAS

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    1. Nicholas J. Horton & Johanna S. Hardin, 2015. "Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 259-265, November.
    2. Nicholas J. Horton, 2015. "Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward," The American Statistician, Taylor & Francis Journals, vol. 69(2), pages 138-145, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    forecasting; data; trend; seasonality;
    All these keywords.

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