Data Visualization for Collection Analysis
Using Tableau to Visualize an Academic Library Collection
Keywords:Collection analysis, data visualization, Tableau
Due to the increasingly digital nature of library resources and collections, it is sometimes difficult to envision a library’s unified holdings and to understand how they have changed over time. Conducting a collection analysis and applying data visualization techniques can be an excellent way to get a top-down view of the collection as a whole. This article outlines the author’s process for a collection analysis of the Weinberg Memorial Library’s entire catalog of print and electronic resources. It explores the rationale behind some key collection analysis decisions and discusses approaches for data extraction and clean-up as well as visualization using the Tableau software.
Cairo, A. (2019). How charts lie: Getting smarter about visual information. W.W. Norton and Company.
Datig, I. & Whiting, P. (2018). Telling your library story: Tableau public for data visuzlization. Library Hi Tech News, 25(4), 6-8.
Eaton, M. (2017). Seeing library data: A prototype visualization application for librarians. Journal of Web Librarianship, 11(1), 69-78.
Finch, J.L. & Flenner, A.R. (2016). Using data visualization to examine an academic library collection. College and Research Libraries, 77(6), 765-778.
Haren, S.M. (2015). Data visualization as a tool for collection assessment: Mapping the Latin American studies collection at University of California, Riverside. Library Collections, Acquisitions, and Technical Services, 38(3-4), 70-81.
Johnson, Q. (2016). Moving from analysis to assessment: Strategic assessment of library collections. Journal of Library Administration, 56(4), 488-498.
Knaflic, C.N. (2015). Storytelling with data: A data visualization guide for business professionals. Wiley.
Murphy, S.A. (2013). Data visualization and rapid analytics: Applying Tableau desktop to support library decision making. Journal of Web Librarianship, 7(4), 465-476.
Murphy, S.A. (2015). How data visualization supports academic library assessment: Three examples from the Ohio State Libraries using Tableau. College and Research News, 76(9), 482-486.
Walton, R.A. & Bunderson, J. (2020). Measuring the past to guide the future: Takeaways from a retrospective analysis on print books and ebooks. Collection Management, 46(2), 80-90.
Wissel, K.M. & DeLuca, L. (2018). Telling the story of a collection with visualizations: A case study. Collection Management, 43(4), 264-275.
Wong, D.M. (2010). The Wall Street Journal guide to information graphics: The do’s and don’ts of presenting data, facts, and figures. W.W. Norton and Company.
Yau, N. (2013). Data points: Visualization that means something. Wiley
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