eprintid: 1831
rev_number: 8
eprint_status: archive
userid: 42
dir: disk0/00/00/18/31
datestamp: 2019-06-07 00:17:16
lastmod: 2019-06-07 00:17:16
status_changed: 2019-06-07 00:17:16
type: conference_item
metadata_visibility: show
creators_name: Steele, Henry
title: Usage Stats for High-Demand Items with Python
ispublished: pub
subjects: DevDay
divisions: eluna_conf
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.
date: 2019-04-30
date_type: completed
full_text_status: restricted
pres_type: other
event_title: ELUNA 2019 Annual Meeting
event_location: Atlanta, GA
event_dates: April 29-May 3, 2019
event_type: conference
refereed: TRUE
citation: Steele, Henry (2019) Usage Stats for High-Demand Items with Python. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA.
document_url: https://beta-documents.el-una.org/id/eprint/1831/1/Usage%20Stats%20for%20High-Demand%20Items%20with%20Python.pdf