README.md
In smartinsightsfromdata/rdatamaps: Interface to the datamaps Library, built on d3.js, for creating fantastic choropleth maps
datamaps for R and shiny
The rdatamaps package is an R interface to the datamaps library, based on d3.js. It provides facilites for visualize great choropleths.
See datamaps for examples and magnificent choropleth!
Installation
The rdatamaps package depends on the development version of the htmlwidgets package so you need to install both packages. You can do this using the devtools package as follows:
devtools::install_github(c("ramnathv/htmlwidgets", "smartinsightsfromdata/rdatamaps"))
Usage
The process of creating a choropleth for any geographical area is actually quite simple. Mark Di Marco, the creator of datamaps has a nice tutorial here.
To start to use this library I suggest to study the examples. I plan to prepare a blog as soon as I'll have time -:)
This library in shiny has the really cool feature that passes back to the server the name of the country (or postcode, county etc.) you click in the UI. This allows then to display dynamically customer properties for that element in tables (or graphs, pie charts etc.)
See the examples in ./inst/examples.
smartinsightsfromdata/rdatamaps documentation built on May 30, 2019, 3:07 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
datamaps for R and shiny
The rdatamaps package is an R interface to the datamaps library, based on d3.js. It provides facilites for visualize great choropleths.
See datamaps for examples and magnificent choropleth!
Installation
The rdatamaps package depends on the development version of the htmlwidgets package so you need to install both packages. You can do this using the devtools package as follows:
devtools::install_github(c("ramnathv/htmlwidgets", "smartinsightsfromdata/rdatamaps"))
Usage
The process of creating a choropleth for any geographical area is actually quite simple. Mark Di Marco, the creator of datamaps has a nice tutorial here.
To start to use this library I suggest to study the examples. I plan to prepare a blog as soon as I'll have time -:)
This library in shiny has the really cool feature that passes back to the server the name of the country (or postcode, county etc.) you click in the UI. This allows then to display dynamically customer properties for that element in tables (or graphs, pie charts etc.)
See the examples in ./inst/examples.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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