Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions.

Overview

unsub extender logo

DOI

About

Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary graph, but more detailed analysis tends to take place off the site in an exported .csv file that allows for filtering, notes, and additional visualization.

This project, Unsub Extender, is a Python script that takes an Unsub data export file and automates useful plots and visualizations for a collection analysis team to explore. The graphs are interactive through Altair and support zoom, pan, and hover, and filters in the left sidebar help set parameters to quickly narrow in on obvious titles to KEEP or CANCEL. The Python code is turned into a web app using Streamlit.

Hosting provided by Iowa State University.

unsub extender screenshot demo

Requirements

An export .csv file - from an Unsub project, choose "Export - Download as spreadsheet".

A .csv file will be saved, which is the input to Unsub Extender.

The .csv file must have the following columns in any order, but named exactly as:

  • title
  • downloads
  • citations
  • authorships
  • usage
  • subscription_cost
  • subscribed
  • cpu
  • cpu_rank
  • use_ill_percent
  • use_oa_percent
  • use_other_delayed_percent

These should already be the default column names assigned by Unsub in the file export.

subscribed column

The subscribed column is especially important as it determines the color-coding of data points in several of the graphs. The column accepts the following values:

(TRUE and FALSE are conventions carried over from Unsub, MAYBE is supported as a third option for future consideration, and leaving the cell blank will color that journal data point grey):

  • TRUE
    • A title to keep, displayed in blue
  • FALSE
    • A title to cancel, displayed in red
  • MAYBE
    • A title to think more about, displayed in green
  • (blank)
    • A title with no decision yet, displayed in grey

Usage

Hosted by Iowa State University

Navigate to https://unsubextender.lib.iastate.edu to run in browser

License

GNU AGPLv3, Copyright (c) 2021 Eric Schares

See LICENSE file

Credits

  • Eric Schares
  • Nick Booher
  • unsub
You might also like...
Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Binomial Option Pricing Calculator Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required) Background A derivative is a fi

A set of functions and analysis classes for solvation structure analysis

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.

Statistical Analysis 📈 This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr

follow-analyzer helps GitHub users analyze their following and followers relationship

follow-analyzer follow-analyzer helps GitHub users analyze their following and followers relationship by providing a report in html format which conta

A neural-based binary analysis tool

A neural-based binary analysis tool Introduction This directory contains the demo of a neural-based binary analysis tool. We test the framework using

Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

ELFXtract is an automated analysis tool used for enumerating ELF binaries

ELFXtract ELFXtract is an automated analysis tool used for enumerating ELF binaries Powered by Radare2 and r2ghidra This is specially developed for PW

This tool parses log data and allows to define analysis pipelines for anomaly detection.
This tool parses log data and allows to define analysis pipelines for anomaly detection.

logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit

 cLoops2: full stack analysis tool for chromatin interactions
cLoops2: full stack analysis tool for chromatin interactions

cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base

Releases(v1.3)
  • v1.3(Jun 16, 2022)

    Text in How to Use dropdown Change from using 'era_subjects' to 'subjects' column, while still keeping logic to handle 'era_subjects' Update to Streamlit 1.9.0 Add award information

    Source code(tar.gz)
    Source code(zip)
  • v1.2(Mar 24, 2022)

    v.1.2

    • add RUSA/ETS BETA award information
    • add live demo webinar links
    • 'perpetual_access_years' and '_text' conversions
    • Support blank Subscribed status
    • Logic for 'subject' and 'era_subjects' str convert
    • removed streamlit-analytics, was not compatible with Streamlit 1.3.1
    • latest pandas (1.4) was causing AssertionError, downgraded to 1.3.5
    • fixed trailing underscore in exported dataset filename
    • added dropdown to show user what they changed before exporting new data
    Source code(tar.gz)
    Source code(zip)
  • v1.1(Jan 25, 2022)

    Upgrading to Streamlit 1.3.1, uses less memory and adds features

    • expander out of beta
    • columns out of beta
    • new download and exporter function
    • added era_subjects column to example dataset
    • needed to convert subject columns to strings
    • add 'subscription' to IF% calculation
    • add versioning in About
    Source code(tar.gz)
    Source code(zip)
  • v1.0(Aug 6, 2021)

Owner
Collection Analysis Librarian at Iowa State University
null
PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

Burn Research 4 Oct 13, 2022
ToeholdTools is a Python package and desktop app designed to facilitate analyzing and designing toehold switches, created as part of the 2021 iGEM competition.

ToeholdTools Category Status Repository Package Build Quality A library for the analysis of toehold switch riboregulators created by the iGEM team Cit

null 0 Dec 1, 2021
Tools for analyzing data collected with a custom unity-based VR for insects.

unityvr Tools for analyzing data collected with a custom unity-based VR for insects. Organization: The unityvr package contains the following submodul

Hannah Haberkern 1 Dec 14, 2022
small package with utility functions for analyzing (fly) calcium imaging data

fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan

Hannah Haberkern 3 Dec 14, 2022
Developed for analyzing the covariance for OrcVIO

about This repo is developed for analyzing the covariance for OrcVIO environment setup platform ubuntu 18.04 using conda conda env create --file envir

Sean 1 Dec 8, 2021
yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data.

The yt Project yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data. yt supports structured, varia

The yt project 367 Dec 25, 2022
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien

ROOT 2k Dec 29, 2022
Python package for analyzing behavioral data for Brain Observatory: Visual Behavior

Allen Institute Visual Behavior Analysis package This repository contains code for analyzing behavioral data from the Allen Brain Observatory: Visual

Allen Institute 16 Nov 4, 2022
Analyzing Earth Observation (EO) data is complex and solutions often require custom tailored algorithms.

eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c

Sentinel Hub 18 Dec 23, 2022
A collection of learning outcomes data analysis using Python and SQL, from DQLab.

Data Analyst with PYTHON Data Analyst berperan dalam menghasilkan analisa data serta mempresentasikan insight untuk membantu proses pengambilan keputu

null 6 Oct 11, 2022