This video will give you a brief overview of 15 useful interdisciplinary R visualization packages. I have listed below all the links and reference projects sites reviewed in the video. To find out more about the package, type help(package = "packagename") in your R console once you've installed it.
My list of R packages for data viz :
ggplot2 - CRAN
ggplot2.org/
patchwork - GitHub
github.com/thomasp85/patchwork
ggiraph - CRAN
davidgohel.github.io/ggiraph/
dygraphs - CRAN
rstudio.github.io/dygraphs/in...
googleVis - CRAN
github.com/mages/googleVis
metricsgraphics - GitHub
hrbrmstr.github.io/metricsgrap...
taucharts - GitHub
github.com/hrbrmstr/taucharts
RColorBrewer - CRAN
cran.r-project.org/web/package...
Shiny - CRAN
shiny.rstudio.com/
flexdashboard - CRAN
rmarkdown.rstudio.com/flexdas...
rcdimple - GitHub
github.com/timelyportfolio/rc...
plotly - CRAN
plot.ly/r/
Highcharter - CRAN
jkunst.com/highcharter/
echarts4r - GitHub
echarts4r.john-coene.com/index...
geofacet - CRAN
github.com/hafen/geofacet
If I’ve missed any of your favorite R data viz packages in this short list, let me know! comment below.
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