Datasets.load: Difference between revisions

Revision as of 06:25, 30 April 2020

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The initial release on CRAN of version 0.1.0 took place in December 2016, and averaged a download rate of 1,000 times per month, from the RStudio servers alone. With the release of version 0.3.0 in 2018, the download rate increased to 2,000 times per month, putting the package in the 9th percentile of most popular R packages.<ref>{{Citation|last=Quast|first=Bastiaan|title=Tools for viewing datasets in RVisual interface for loading datasets in RStudio from all installed (unloaded) packages.: bquast/datasets.load|date=2020-01-04|url=https://github.com/bquast/datasets.load|volume=|pages=|archive-url=https://web.archive.org/web/20200430062344/https://github.com/bquast/datasets.load/releases|access-date=2020-04-30|archive-date=2020-04-30}}</ref> The package was reviewed in the 2017 article "R Packages worth a look" on Data Analytics & R<ref>{{Cite news|url=https://advanceddataanalytics.net/2017/01/05/r-packages-worth-a-look-667/|title=R Packages worth a look|last=Laux|first=Michael|date=2017-01-05|work=Data Analytics & R|access-date=2020-01-03|url-status=live|archive-url=https://web.archive.org/web/20200103104538/https://analytixon.com/2017/01/05/r-packages-worth-a-look-667/|archive-date=2020-01-03|language=en-US}}</ref>, which further increased usage. It is also frequently preinstalled on university computers<ref>{{Cite web|url=https://wiki.carleton.edu/display/itskb/R+packages+installed|title=R packages installed - ITS - Carlpedia - Carleton College Wiki|last=|first=|date=|website=wiki.carleton.edu|url-status=live|archive-url=https://web.archive.org/web/20200103104913/https://wiki.carleton.edu/display/itskb/R+packages+installed|archive-date=2020-01-03|access-date=2020-01-03}}</ref>, in order to help make R more accessible to students.

Version 1.0.0 was released on 12 December 2019, with a version 1.4.0 which was built against R 4.0.0 being released on 27 April 2020<ref>{{Citation|last=Quast|first=Bastiaan|title=Tools for viewing datasets in RVisual interface for loading datasets in RStudio from all installed (unloaded) packages.: bquast/datasets.load|date=2020-0104-0330|url=https://github.com/bquast/datasets.load|volume=|pages=|access-date=2020-0104-0330}}</ref>.

The RStudio CRAN mirror download logs

<ref>{{cite web|title=RStudio CRAN logs|url=http://cran-logs.rstudio.com/}}</ref> show that the package is downloaded onmore average aboutthan 2,000 times per month from those servers

<ref>{{cite web|title=CRANlogs datasets.load package|url=https://cranlogs.r-pkg.org/badges/datasets.load}}</ref>, with a total of over 5565,000 downloads since the first release

<ref>{{cite web|title=CRANlogs datasets.load package|url=https://cranlogs.r-pkg.org/badges/grand-total/datasets.load}}</ref>, according to RDocumentation.org, this puts the package in the 9th percentile of most popular R packages<ref>{{Cite web|url=https://www.rdocumentation.org/packages/datasets.load/versions/1.04.0|title=datasets.load package R Documentation|last=|first=|date=|website=www.rdocumentation.org|url-status=live|archive-url=https://web.archive.org/web/20200103153839/https://www.rdocumentation.org/packages/datasets.load/versions/1.0.0/|archive-date=2020-01-03|access-date=2020-0104-0330}}</ref>. On [https://www.rdocumentation.org/ Rdocumentation.org] it is listed as the second most downloaded package under the keyword "datasets"<ref>{{Cite web|url=https://www.rdocumentation.org/search?q=datasets|title=RDocumentation: Results for "datasets"|last=|first=|date=|website=www.rdocumentation.org|url-status=live|archive-url=https://web.archive.org/web/20200103104002/https://www.rdocumentation.org/search?q=datasets|archive-date=2020-01-03|access-date=2020-0104-0330}}</ref> (after the base R package datasets), whichwith is"datasets" being the most popular keyword on Rdocumentation.org<ref>{{Cite web|url=https://www.rdocumentation.org/trends|title=RDocumentation Trends|last=|first=|date=|website=www.rdocumentation.org|url-status=live|archive-url=https://web.archive.org/web/20200103104048/https://www.rdocumentation.org/trends|archive-date=2020-01-03|access-date=2020-0104-0330}}</ref>.

== References ==