Skip to main content

Statistical tools for the ASReview project

Project description

ASReview-statistics

Deploy and releaseBuild status

ASReview extension for generating statistics on state files and datasets.

General

Install the package with:

pip install asreview-statistics

The general usage of the package is to inspect files related to the systematic review done with ASReview. It can be used to inspect your dataset that you would like to review (or have reviewed).

General usage:

asreview stat path_to_file

Datasets

Use the following command on your command line:

asreview stat path_to_your_dataset

It should give some general properties of the dataset, e.g.:

************  PTSD_VandeSchoot_18.csv  ************

Number of papers:            5782
Number of inclusions:        38 (0.66%)
Number of exclusions:        5744 (99.34%)
Number of unlabeled:         0 (0.00%)
Average title length:        101
Average abstract length:     1339
Average number of keywords:  8.8
Number of missing titles:    64 (of which 0 included)
Number of missing abstracts: 747 (of which 0 included)

Your dataset should be in a format that is readable by the ASReview software. Documentation on how to create such a dataset is in the main project.

State files

Another use is the quick analysis of either one state file, or multiple state files in the same directory:

asreview stat path_to_your_state_files

This will give output similar to:

************  ptsd_nb  *******************

-----------  general  -----------
Number of runs            : 16
Number of papers          : 5782
Number of included papers : 38
Number of excluded papers : 5744
Number of unlabeled papers: 0
Number of queries         : 233

-----------  settings  -----------
model             : nb
query_strategy    : max_random
balance_strategy  : double
feature_extraction: tfidf
n_instances       : 25
n_prior_included  : 1
n_prior_excluded  : 1
mode              : simulate
model_param       : {'alpha': 3.822}
query_param       : {'strategy_1': 'max', 'strategy_2': 'random', 'mix_ratio': 0.95}
feature_param     : {}
balance_param     : {'a': 2.155, 'alpha': 0.94, 'b': 0.789, 'beta': 1.0}
abstract_only     : False

-----------  WSS/RRF  -----------
WSS@95 : 91.50 %
WSS@100: 87.56 %
RRF@5  : 97.30 %
RRF@10 : 97.64 %

Currently, the amount of information displayed is growing; help and suggestions are welcome!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

asreview-statistics-0.3.0.tar.gz (6.4 kB view details)

Uploaded Source

Built Distribution

asreview_statistics-0.3.0-py3-none-any.whl (11.5 kB view details)

Uploaded Python 3

File details

Details for the file asreview-statistics-0.3.0.tar.gz.

File metadata

  • Download URL: asreview-statistics-0.3.0.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7

File hashes

Hashes for asreview-statistics-0.3.0.tar.gz
Algorithm Hash digest
SHA256 2fbb93d840d688b66a62ee0b514e661a1061c888dbb39cec7a9ecff67e6d7d4b
MD5 a9cb05e2e81afab90d086b4c435f4ebe
BLAKE2b-256 8f973d07f1b780eeae950d51790b7869c845252e793e3ef39e377cd8d9ec5148

See more details on using hashes here.

File details

Details for the file asreview_statistics-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: asreview_statistics-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 11.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7

File hashes

Hashes for asreview_statistics-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 94518a3f476493318b1c8c66995c731b5581ae9d310e7926af9a1346c591d041
MD5 a30f0549dc95bbf36f1a8f2ab2a4486c
BLAKE2b-256 4a84fe62a21cded779f0d1fb6a3dedbee42a841d877de55e45a408f5438637db

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page