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

Related tags

Data Analysispythonaltairstreamlitunsubcollection-analysis
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

sammuhrai 1 Nov 29, 2021
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,

MDAnalysis 19 Nov 24, 2022
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

Andy Pham 1 Sep 3, 2022
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

Yin-Chiuan Chen 2 May 2, 2022
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

Facebook Research 208 Dec 22, 2022
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

John McCambridge 79 Sep 20, 2022
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

Monish Kumar 49 Nov 28, 2022
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

AECID 32 Nov 27, 2022
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

YaqiangCao 25 Dec 14, 2022
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
GitHub Repository
Cleaning and analysing aggregated UK political polling data.

Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.

Ajay Pethani 0 Dec 22, 2021
Random dataframe and database table generator

Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien

Tirthajyoti Sarkar 249 Jan 08, 2023
High Dimensional Portfolio Selection with Cardinality Constraints

High-Dimensional Portfolio Selecton with Cardinality Constraints This repo contains code for perform proximal gradient descent to solve sample average

Du Jinhong 2 Mar 22, 2022
A Python adaption of Augur to prioritize cell types in perturbation analysis.

A Python adaption of Augur to prioritize cell types in perturbation analysis.

Theis Lab 2 Mar 29, 2022
Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Trung-Duy Nguyen 27 Nov 01, 2022
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Ralph Seichter 11 Nov 24, 2022
University Challenge 2021 With Python

University Challenge 2021 This repository contains: The TeX file of the technical write-up describing the University / HYPER Challenge 2021 under late

2 Nov 27, 2021
Python implementation of Principal Component Analysis

Principal Component Analysis Principal Component Analysis (PCA) is a dimension-reduction algorithm. The idea is to use the singular value decompositio

Ignacio Darago 1 Nov 06, 2021
Extract data from a wide range of Internet sources into a pandas DataFrame.

pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d

Python for Data 2.5k Jan 09, 2023
PyIOmica (pyiomica) is a Python package for omics analyses.

PyIOmica (pyiomica) This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets.

G. Mias Lab 13 Jun 29, 2022
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.

The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button

48 Dec 21, 2022
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift

Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2

Emmanuel Boateng Sifah 1 Jan 19, 2022
Very basic but functional Kakuro solver written in Python.

kakuro.py Very basic but functional Kakuro solver written in Python. It uses a reduction to exact set cover and Ali Assaf's elegant implementation of

Louis Abraham 4 Jan 15, 2022
A Python package for modular causal inference analysis and model evaluations

Causal Inference 360 A Python package for inferring causal effects from observational data. Description Causal inference analysis enables estimating t

International Business Machines 506 Dec 19, 2022
Two phase pipeline + StreamlitTwo phase pipeline + Streamlit

Two phase pipeline + Streamlit This is an example project that demonstrates how to create a pipeline that consists of two phases of execution. In betw

Rick Lamers 1 Nov 17, 2021
The OHSDI OMOP Common Data Model allows for the systematic analysis of healthcare observational databases.

The OHSDI OMOP Common Data Model allows for the systematic analysis of healthcare observational databases.

Bell Eapen 14 Jan 02, 2023
A highly efficient and modular implementation of Gaussian Processes in PyTorch

GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian

3k Jan 02, 2023
Pyspark project that able to do joins on the spark data frames.

SPARK JOINS This project is to perform inner, all outer joins and semi joins. create_df.py: load_data.py : helps to put data into Spark data frames. d

Joshua 1 Dec 14, 2021
Validation and inference over LinkML instance data using souffle

Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data

Linked data Modeling Language 7 Aug 07, 2022
📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

Web Trader Web Trader is a trading website that consolidates data from Nasdaq, allowing the user to search up the ticker symbol and price of any stock

Paulina Khew 21 Aug 30, 2022