Unsub Extender: a Python-based web application for visualizing Unsub data
Eric Schares

TL;DR
Unsub Extender is a free Python web app that visualizes complex Unsub library data, enabling interactive analysis and decision-making to improve collection management.
Contribution
It introduces a novel, user-friendly tool for visualizing and analyzing Unsub export data, enhancing library data analysis capabilities.
Findings
Provides interactive, live-updating visualizations
Supports scenario modeling with filters and decision status changes
Enables data export for decision documentation
Abstract
This article introduces Unsub Extender, a free tool to help libraries analyze their Unsub data export files. Unsub is a collection development dashboard that gathers and forecasts journal-level usage metrics to provide academic libraries with deeper measurements than traditional cost-per-use. Unsub gives libraries richer and more nuanced data to analyze their subscriptions, but it does not include a way to easily visualize the complex and interrelated data points it provides. Unsub Extender (https://unsubextender.lib.iastate.edu) is a free Python-based web application that takes an Unsub export file and automates the creation of interactive plots and visualizations. The tool loads with example data to explore, and users upload their specific Unsub file to quickly populate the pre-made plots with actual data. Graphs are interactive, live-updating, and support zoom, click-and-drag, and…
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Taxonomy
TopicsComputational Physics and Python Applications
