Document Type
Article
Publication Date
4-29-2024
Department
Libraries
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.
Original Publication Information
Huff, A., Roth, M., & Liu, W. (2024). Develop an Interactive Python Dashboard for Analyzing EZproxy Logs. International Journal of Librarianship, 9(1), 59-73. https://doi.org/10.23974/ijol.2024.vol9.1.374
ThinkIR Citation
Huff, Andy; Roth, Matthew; and Liu, Weiling, "Develop an Interactive Python Dashboard for Analyzing EZproxy Logs" (2024). Faculty Scholarship. 950.
https://ir.library.louisville.edu/faculty/950
DOI
10.23974/ijol.2024.vol9.1.374
ORCID
0000-0002-6720-728X
Included in
Collection Development and Management Commons, Databases and Information Systems Commons, Data Science Commons, Programming Languages and Compilers Commons
Comments
This work is licensed under a Creative Commons Attribution 4.0 International License.