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I love interactive pivot tables. That is the number one reason why I keep using spreadsheet software. The ability to look at data quickly in lots of different ways, without a single line of code helps me to get an understanding of the data really fast.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Perhaps I can do the same now in R as well. At yesterday’s LondonR meeting Enzo Martoglio presented briefly his
rpivotTable
package. Enzo builds on Nicolas Krutchen’s PivotTable.js JavaScript library that provides drag’n’drop functionality and wraps it with htmlwidget
into R. The result is an interactive pivot table rendered in either your default browser or the viewer pane of RStudio with one line of code:## Install packages library(devtools) install_github("ramnathv/htmlwidgets") install_github("smartinsightsfromdata/rpivotTable") ## Load rpivotTable library(rpivotTable) data(mtcars) ## One line to create pivot table rpivotTable(mtcars, rows="gear", col="cyl", aggregatorName="Average", vals="mpg", rendererName="Treemap")
The following animated Gif from Nicolas’ project page gives an idea of the interactive functionality of PivotTable.js.
Example of PivotTable.js Source: Nicolas Kruchten |
Session Info
R version 3.1.3 (2015-03-09) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: OS X 10.10.2 (Yosemite) locale: [1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8 attached base packages: [1] stats graphics grDevices utils [5] datasets methods base other attached packages: [1] rpivotTable_0.1.3.4 loaded via a namespace (and not attached): [1] digest_0.6.8 htmltools_0.2.6 [3] htmlwidgets_0.3.2 RJSONIO_1.3-0 [5] tools_3.1.3 yaml_2.1.13
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