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

Last update: Nov 16, 2022

Overview

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.

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

See LICENSE file

Credits

Eric Schares
Nick Booher
unsub

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

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,

19 Nov 24, 2022

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

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

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

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

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

49 Nov 28, 2022

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

32 Nov 27, 2022

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

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)

First major official relase, stable version. Get a DOI.
Source code(tar.gz)
Source code(zip)

Owner

Collection Analysis Librarian at Iowa State University

GitHub Repository

Data cleaning tools for Business analysis

Datacleaning datacleaning tools for Business analysis This program is made for Vicky's work. You can use it, too. 数据清洗该数据清洗工具是为了商业分析这个程序是为了Vicky的工作而

3 Nov 16, 2021

Airflow ETL With EKS EFS Sagemaker

Airflow ETL With EKS EFS & Sagemaker (en desarrollo) Diagrama de la solución Imp

1 Feb 14, 2022

Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.

1 Feb 11, 2022

Ejercicios Panda usando Pandas

Readme Below we add configuration details to locally test your application To co

1 Jan 22, 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

27 Nov 01, 2022

This mini project showcase how to build and debug Apache Spark application using Python

Spark app can't be debugged using normal procedure. This mini project showcase how to build and debug Apache Spark application using Python programming language. There are also options to run Spark a

1 Dec 29, 2021

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

2.2k Dec 25, 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

4 Jan 15, 2022

Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.

ETL Pipeline with Airflow, Spark, s3, MongoDB and Amazon Redshift

214 Jan 02, 2023

Additional tools for particle accelerator data analysis and machine information

PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au

3 Apr 13, 2022

Semi-Automated Data Processing

Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meanin

1 Jan 17, 2022

Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data

WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj

1 Jan 12, 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

1 Dec 08, 2021

pyETT: Python library for Eleven VR Table Tennis data

pyETT: Python library for Eleven VR Table Tennis data Documentation Documentation for pyETT is located at https://pyett.readthedocs.io/. Installation

5 Nov 19, 2022

a tool that compiles a csv of all h1 program stats

h1stats - h1 Program Stats Scraper This python3 script will call out to HackerOne's graphql API and scrape all currently active programs for informati

40 Oct 27, 2022

A python package which can be pip installed to perform statistics and visualize binomial and gaussian distributions of the dataset

GBiStat package A python package to assist programmers with data analysis. This package could be used to plot : Binomial Distribution of the dataset p

4 Oct 17, 2022