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Develop an Interactive Python Dashboard for Analyzing EZproxy Logs

Published in Chinese American Librarians Association • Apr 1, 2024
NobleIDNI8P71W57R18S99
Authors:
Andrew Huff
,
Matthew Roth
,
Weiling Liu

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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