(See http://gallery.htmlwidgets.org/ for more awesome widgets.)

Using some basic R libraries, you can setup some interactive visualizations wihtout using Rshiny

Here is some example code illustrating what I am thinking about, using the iris dataset from R

`library(crosstalk)`
`library(lineupjs)`
`library(d3scatter)`

`shared_iris = SharedData$new(iris)`
`d3scatter(shared_iris, ~Petal.Length, ~Petal.Width, ~Species, width="100%")`
`lineup(shared_iris, width="100%")`

Similarly, the morpheus.js html widget makes for fantastic, interactive heatmaps.
`library(morpheus)`

rowAnnotations <- data.frame(annotation1=1:32, annotation2=sample(LETTERS[1:3], nrow(mtcars), replace = TRUE))`
`morpheus(mtcars, colorScheme=list(scalingMode="fixed", colors=heat.colors(3)), rowAnnotations=rowAnnotations, overrideRowDefaults=FALSE, rows=list(list(field='annotation2', highlightMatchingValues=TRUE, display=list('color'))))`