Steele, Henry (2019) Usage Stats for High-Demand Items with Python. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA.
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Abstract
Does your institution want to know if you have enough copies of high-demand items, such as reserves and equipment? This session will show a way to use the Python pandas and numpy libraries to drill through Analytics reports and find out how often all copies of a given item were checked out. I'll briefly introduce the libraries, and talk about how Tufts has used these stats to allocate funding for our Purchased Textbook program.
Item Type: | Conference or Workshop Item (Other) |
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Event Title: | ELUNA 2019 Annual Meeting |
Subjects: | |
Divisions: | ELUNA Conference Proceedings |
ID Code: | 1831 |
Deposited By: | Eluna Programs |
Deposited On: | 07 Jun 2019 00:17 |
Last Modified: | 07 Jun 2019 00:17 |
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