Analyzing EZproxy SPU Logs Using Python Data Analysis Tools
Even with the assortment of free and ready-made tools for analyzing EZproxy log files, it can be difficult to get useful, meaningful data from them. Using the Python programming language with its collection of modules created specifically for data analysis can help with this task, and ultimately res...
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Veröffentlicht in: | The code4lib journal 2018-11 (42) |
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Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | Even with the assortment of free and ready-made tools for analyzing EZproxy log files, it can be difficult to get useful, meaningful data from them. Using the Python programming language with its collection of modules created specifically for data analysis can help with this task, and ultimately result in better and more useful data customized to the needs of the library using it. This article describes how Our Lady of the Lake University used Python to analyze its EZproxy log files to get more meaningful data, including a walk-through of the code needed to accomplish this task. |
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ISSN: | 1940-5758 1940-5758 |