An interactive charts allows the user to perform actions: zooming, hovering a marker to get a tooltip, choosing a variable to display and more. R
offers a set of packages called the html widgets
: they allow to build interactive dataviz directly from R
.
plotly
.The best way to build an interactive bubble chart from R is through the plotly
library. If you know how to make a ggplot2
chart, you are 10 seconds away to rendering an interactive version= just call the ggplotly()
function, and you’re done.
library(ggplot2) library(plotly) library(gapminder) p <- gapminder %>% filter(year==1977) %>% ggplot( aes(gdpPercap, lifeExp, size = pop, color=continent)) + geom_point() + theme_bw() ggplotly(p)
← this chart is interactive: hover, drag, zoom, export and more.
plotly
, d3heatmap
or heatmaply
.Three options exist to build an interactive heatmap from R
:
plotly
: as described above, plotly allows to turn any heatmap made with ggplot2
interactive.d3heatmap
: a package that uses the same syntax as the base R heatmap() function to make interactive version.heatmaply
: the most flexible option, allowing many different kind of customization. See the code of the chart beside here.streamgraph
packageThe streamgraph
package allows to build interactive streamgraphs. Hover a group to highlight it, get its name and its exact value. It's also the only way to build a streamchart from R.
plotly
.Once more, plotly
is very handy when it comes to build interactive area chart, since its ggplotly()
function turns a ggplot2
version interactive. On the chart beside you can:
.png
and .html
.It is possible to save an interactive chart to both .html
and .png
formats.
To do so, you have to rely on the htmlwidget
and webshot
packages respectively.
It is then possible to embed your viz using an iframe
of an img
tag in
any webpage.
Note: it is also possible to build the interactive chart in an R markdown document to have it embedded directly.
# create a dataset: data <- data_frame( from=c("A", "A", "B", "D"), to=c("B", "E", "F", "A") ) # Plot library(igraph) p <- simpleNetwork(data, height="100px", width="100px") # save the widget at .html format library(htmlwidgets) saveWidget(p, file="myFile.html") # Save at .png library(webshot) webshot::install_phantomjs() webshot("paste_your_html_here" , "output.png", delay = 0.2 , cliprect = c(440, 0, 1000, 10))
leaflet
.Build a stunning interactive map in minute thanks to the leaflet
package.
It allows to build any type of maps: background, bubble, choropleth,
hexbin and more.
rgl
The rgl
package is the best tool to work in 3D from R. Here
is an illustration: a 3d scatterplot showing the relationship between
3 numerical variables.
Note that rgl
automatically builds
interactive charts. Zooming and rotating can indeed make the chart more insightful.
Trying zooming / rotating →
chordiag
The chorddiag
package is an htmlwidget: it automatically builds interactive charts. On the chart below, hovering a group or a connection will highlight the related flow and give additional information.
Note: The example below comes directly from the chorddiag
documentation. Thanks to Mattflor for developping such a nice package.
circlepackeR
The circlepackeR
library allows to get an interactive circular packing with several levels of hierarchy. Click on a group to zoom on it. The post describes how to use the package from different types of input dataset.
collapsibletree
The collapsibletree
package is an htmlwidget: it automatically builds collapsible interactive tree diagram. On the chart below, click a node to reveal the next branch, and zoom in/out if necessary.
networkD3
The networkD3
package allows to build interactive network diagrams with R. On the chart below, try to hover a node and drag it to see how it works. You can also scroll to zoom in and out. Visit the corresponding post to see how to use this tool on your dataset.
dygraph
The dygraph
package offers zooming, hovering, minimaps and much more. Try it on the example below!