Develop an Interactive Python Dashboard for Analyzing EZproxy Logs

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DOI:

https://doi.org/10.23974/ijol.2024.vol9.1.374

Abstract

This paper describes the development of an interactive dashboard in Python with EZproxy log data. Hopefully, this dashboard will help improve the evidence-based decision-making process in electronic resources management and explore the impact of library use.

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Author Biographies

  • Andrew Huff, University of Louisville

    Andrew Huff – Business Intelligence Analyst III of Undergraduate Medical Education (UME) at University of Louisville, Louisville, Kentucky, USA. He provides data analysis and accreditation support and is currently developing a database for UME using Python and Django. His professional interests include statistical analysis, systems integration, python and Django programming, and data management.

  • Matthew Roth, University of Louisville

    Matthew Roth – IT Suppott Technician II at University of Louisville, Louisville, Kentucky, USA. He provides IT and data analytics support to the Ekstrom, Art, and Music libraries.  His professional interests include IT Support, data visualization, and Infrastructure technologies.

  • Weiling Liu, University of Louisville

    Weiling Liu -- Professor and Head of Office of Libraries Technology (OLT) at University of Louisville, Louisville, Kentucky, USA. She manages OLT, provides leadership and coordination on technology projects, including evaluation, planning, and implementation, and supports library systems and applications. Her professional interests include statistical analysis, information retrieval, access, systems integration, e-resources management, resource discovery, project management, and data management. She has published in several peer-reviewed journals, including Kentucky Libraries, OCLC Systems & Services, the Journal of the Medical Library Association, and the International Journal of Librarianship. https://orcid.org/0000-0002-6720-728X

References

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Published

2024-04-29

Issue

Vol. 9 No. 1 (2024)

Section

Featured Articles

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How to Cite

Develop an Interactive Python Dashboard for Analyzing EZproxy Logs. (2024). International Journal of Librarianship, 9(1), 59-73. https://doi.org/10.23974/ijol.2024.vol9.1.374