Datasets.load: Difference between revisions

Revision as of 10:55, 3 January 2020

Revision as of 10:56, 3 January 2020

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The initial release 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>{{Cite web|url=https://github.com/bquast/datasets.load/releases/tag/0.3.0|title=bquast/datasets.load|website=GitHub|language=en|access-date=2018-09-16}}</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<ref>{{Citation|last=Quast|first=Bastiaan|title=Tools for view datasets in RVisual interface for loading datasets in RStudio from all installed (unloaded) packages.: bquast/datasets.load|date=2020-01-03|url=https://github.com/bquast/datasets.load|access-date=2020-01-03}}</ref>.

The RStudio CRAN mirror download logs