Datasets.load: Difference between revisions
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{{Infobox software |
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| title = datasets.load |
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| name = datasets.load |
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| logo = |
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| logo caption = |
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| screenshot = Datasets.load 1.4.0.png |
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| caption = datasets.load GUI searching and loading datasets |
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| collapsible = |
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| author = [[Bastiaan Quast]] |
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| developer = |
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| released = {{Start date|2016|12|14|df=yes}} |
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| discontinued = |
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| latest release version = 1.4.0 |
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| latest release date = {{Start date and age|2020|04|27|df=yes}} |
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| latest preview version = 1.4.0.9000 |
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| latest preview date = {{Start date and age|2020|05|01|df=yes}} |
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| repo = https://github.com/bquast/datasets.load |
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| programming language = [[R (programming language)|R]] |
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| operating system = Windows, MacOS, Linux |
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| platform = |
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| size = 520.6 kB (v. 1.2.0) |
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| language = [[R (programming language)|R]] |
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| language count = |
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| language footnote = |
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| genre = |
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| license = [[GPL v3]] |
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| alexa = |
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| website = {{URL|1=https://cran.r-project.org/package=datasets.load|2=cran.r-project.org}} |
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}} |
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{{Afd-merge to|R (programming language)|Datasets.load|24 September 2018}} |
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'''datasets.load''' is an [[R package]] and [[RStudio]] plugin, that provides both a [[Graphical User Interface]] (GUI), as well as a [[Command Line Interface]] for loading datasets.<ref>{{Citation|last=Quast|first=Bastiaan|title=datasets.load: Interfaces for Loading Datasets|date=2019-12-12|url=https://cran.r-project.org/package=datasets.load|volume=|pages=|archive-url=https://web.archive.org/web/20200430061643/https://cran.r-project.org/web/packages/datasets.load/index.html|access-date=2020-04-30|archive-date=2020-04-30}}</ref> Normally, R only makes visible datasets of packages that are loaded, '''datasets.load''' shows the list of all installed datasets on the local library, including datasets included with packages that are not loaded. It is one of the top 10% of most downloaded R packages. |
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{{R from merge}} |
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== R datasets == |
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{{R to section}} |
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R functionality is extendible using extensions call R packages. The central place from which to install packages is the [https://cran.r-project.org/ Central R Archive network] (CRAN). From CRAN, R packages can be installed using the command (here to install datasets.load): |
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install.packages('datasets.load') |
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Once installed, R packages can be loaded using the command: |
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library(datasets.load) |
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After a package has been loaded, objects available from the package - such as functions and datasets - can be accessed. |
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The datasets from all the loaded packages can listed using the command: |
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data() |
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However, datasets from packages that are not loaded, are not listed. As a result, many R users have access to datasets on their local install that are never used. The '''datasets.load''' packages addresses this by listed all datasets that are in any packages installed (loaded or not loaded). |
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== Usage == |
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[[File:Datasets.load.gif|thumb|datasets.load GUI demonstration]] |
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A video demonstrating the GUI usage is available via the thumbnail on the right and on [https://www.youtube.com/watch?v=dl_bYlDLydI YouTube]. |
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The usage of '''datasets.load''''s [[Command Line Interface]] is demonstrated in the code snippet below. |
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<syntaxhighlight lang="rsplus"> |
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> # install the datasets.load package |
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> install.packages('datasets.load') |
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> # load the datasets.load package |
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> library(datasets.load) |
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> # list the objects in the package (all functions) |
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[1] "alldata" "browseDatasets" "datasets" "datasets.load" "getDatasetInfo" "printDatasets" |
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[7] "promptDatasets" |
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> # show all datasets (in a new window) |
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> datasets() |
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</syntaxhighlight> |
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== Functionality == |
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The basic functionality of '''datasets.load''' is to expose all installed datasets to the user, including datasets in packages that are not loaded. There is a [[Command Line Interface]] (CLI) which can be used from any R terminal. |
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In addition to the CLI, there is also a [[Graphical User Interface]] for RStudio using [[RStudio#Addins|RStudio Addins]]. |
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== Reception == |
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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=Visual interface for loading datasets in RStudio|date=2020-04-30|url=https://github.com/bquast/datasets.load|volume=|pages=|archive-url=https://web.archive.org/web/20200501080947/https://github.com/bquast/datasets.load|access-date=2020-05-01|archive-date=2020-05-01}}</ref> The package was reviewed in the 2017 article "R Packages worth a look" on Data Analytics & R,<ref>{{Cite news|last=Laux|first=Michael|date=2017-01-05|title=R Packages worth a look|language=en-US|work=Data Analytics & R|url=https://advanceddataanalytics.net/2017/01/05/r-packages-worth-a-look-667/|url-status=live|access-date=2020-05-01|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}}</ref> which further increased usage. It is also frequently preinstalled on university computers,<ref name=":0">{{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. |
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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 name=":0" /> |
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The RStudio CRAN mirror download logs |
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<ref>{{cite web|title=RStudio CRAN logs|url=http://cran-logs.rstudio.com/}}</ref> show that the package is downloaded more than 2,000 times per month from those servers |
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,<ref>{{cite web|title=CRANlogs datasets.load package|url=https://cranlogs.r-pkg.org/badges/datasets.load}}</ref> with a total of over 65,000 downloads since the first release |
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,<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/1.4.0|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=2020-04-30}}</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=2020-04-30}}</ref> (after the base R package datasets), with "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=2020-04-30}}</ref> |
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== References == |
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{{reflist}} |
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==External links== |
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*[https://github.com/bquast/datasets.load Repository] on [[GitHub]] |
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*[https://cran.r-project.org/package=datasets.load datasets.load package] on [[R (programming language)#Packages|CRAN]] |
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{{R (programming language)}} |
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[[Category:Deep learning]] |
[[Category:Deep learning]] |
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[[Category:Free science software]] |
[[Category:Free science software]] |
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Revision as of 11:38, 20 November 2020
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