WenjieDu / PyGrinder

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

Date Created 2022-04-12 (2 years ago)

Commits 124 (last one 3 months ago)

Stargazers 39 (0 this week)

Watchers 4 (0 this week)

Forks 5

License bsd-3-clause

Ranking

RepositoryStats indexes 595,856 repositories, of these WenjieDu/PyGrinder is ranked #526,216 (12th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #102,919/119,431.

WenjieDu/PyGrinder is also tagged with popular topics, for these it's ranked: python (#20,481/22324), machine-learning (#7,416/8063), data-science (#1,988/2138), data-mining (#278/292)

Other Information

WenjieDu/PyGrinder has 1 open pull request on Github, 36 pull requests have been merged over the lifetime of the repository.

There have been 12 releases, the latest one was published on 2024-09-12 (3 months ago) with the name v0.6.4 🐞 Bug fix.

Homepage URL: https://pypots.com/ecosystem/#PyGrinder

All Topics

mar mcar mnar block python sequence synthetic imputation data-mining missingness data-science missing-data interpolation missing-values missing-pattern machine-learning missing-mechanism pattern-recognition

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

124 commits on the default branch (main) since jan '22

Yearly Commits

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Issue History

Languages

The only known language in this repository is Python

updated: 2024-12-17 @ 04:13pm, id: 480799452 / R_kgDOHKhq3A