https://github.com/chendaniely/dirty

Dirties data in R

https://github.com/chendaniely/dirty

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.6%) to scientific vocabulary

Keywords

r rstats tidyverse
Last synced: 11 months ago · JSON representation

Repository

Dirties data in R

Basic Info
  • Host: GitHub
  • Owner: chendaniely
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 27.3 KB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Topics
r rstats tidyverse
Created over 7 years ago · Last pushed over 7 years ago
Metadata Files
Readme License

README.md

This will be a package that dirties data in R. Motivation: we built a course on cleaning data and it was really tough to find dirty datasets that were licensed for commercial use. The point of this package is to construct such datasets that can be used for pedagogical purposes.

See https://github.com/chendaniely/dirty/issues/5 for more thoughts about the package.

dirty

tidyr -> dirty

"tidyr" is an anagram of "dirty". Let's undo all of Hadley's hard work and make data dirty again.

Why do all the tutorials you see use the same datasets?

@chendaniely & @hugobowne built a course on Cleaning data and it was really tough to find dirty datasets that were publicly available, can be freely distributed, and can also be used for commercial purposes. The point of this package is to construct such datasets that can be used for pedagogical purposes. Datasets that are "dirty" for a specific teaching example are also difficult to find as well. This package fixes these issues by taking any dataset and makes it "dirty".

Owner

  • Name: Daniel Chen
  • Login: chendaniely
  • Kind: user
  • Location: JFK -> DCA -> ROA -> JFK -> YVR
  • Company: @rstudio @UBC-DSCI @UBC-MDS

bow ties are cool

GitHub Events

Total
Last Year

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 12
  • Total Committers: 3
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.5
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Daniel Chen c****y 6
Hugo Bowne-Anderson h****o@d****m 3
Daniel Chen c****d@v****u 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 6
  • Total pull requests: 0
  • Average time to close issues: about 1 hour
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 0.83
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • hugobowne (3)
  • chendaniely (3)
Pull Request Authors
Top Labels
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