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
Python-based Space Physics Environment Data Analysis Software

pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is

SPEDAS 98 Dec 22, 2022
Weather Image Recognition - Python weather application using series of data

Weather Image Recognition - Python weather application using series of data

Kushal Shingote 1 Feb 04, 2022
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly.

Please consider citing the manuscript if you use apricot in your academic work! You can find more thorough documentation here. apricot implements subm

Jacob Schreiber 457 Dec 20, 2022
Falcon: Interactive Visual Analysis for Big Data

Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente

Vega 803 Dec 27, 2022
A program that uses an API and a AI model to get info of sotcks

Stock-Market-AI-Analysis I dont mind anyone using this code but please give me credit A program that uses an API and a AI model to get info of stocks

1 Dec 17, 2021
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

AECID 32 Nov 27, 2022
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Isaac Robinson 61 Nov 21, 2022
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo

Coiled 102 Nov 10, 2022
In this project, ETL pipeline is build on data warehouse hosted on AWS Redshift.

ETL Pipeline for AWS Project Description In this project, ETL pipeline is build on data warehouse hosted on AWS Redshift. The data is loaded from S3 t

Mobeen Ahmed 1 Nov 01, 2021
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022
Python reader for Linked Data in HDF5 files

Linked Data are becoming more popular for user-created metadata in HDF5 files.

The HDF Group 8 May 17, 2022
AptaMat is a simple script which aims to measure differences between DNA or RNA secondary structures.

AptaMAT Purpose AptaMat is a simple script which aims to measure differences between DNA or RNA secondary structures. The method is based on the compa

GEC UTC 3 Nov 03, 2022
Automated Exploration Data Analysis on a financial dataset

Automated EDA on financial dataset Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using Streamlit and ta.

Darío López Padial 28 Nov 27, 2022
Import, connect and transform data into Excel

xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the

George Karakostas 1 Jan 19, 2022
OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

Overview OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase

Tom 3 Feb 12, 2022
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to

Derek Snow 527 Jan 02, 2023
Streamz helps you build pipelines to manage continuous streams of data

Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedbac

Python Streamz 1.1k Dec 28, 2022
Mining the Stack Overflow Developer Survey

Mining the Stack Overflow Developer Survey A prototype data mining application to compare the accuracy of decision tree and random forest regression m

1 Nov 16, 2021
A Python Tools to imaging the shallow seismic structure

ShallowSeismicImaging Tools to imaging the shallow seismic structure, above 10 km, based on the ZH ratio measured from the ambient seismic noise, and

Xiao Xiao 9 Aug 09, 2022
A library to create multi-page Streamlit applications with ease.

A library to create multi-page Streamlit applications with ease.

Jackson Storm 107 Jan 04, 2023