The geometries are based on geom_bar() and geom_col(). See the documentation for those functions for more details.

geom_bar_interactive(...)

geom_col_interactive(...)

Arguments

...

arguments passed to base function, plus any of the interactive_parameters().

Details for geom_*_interactive functions

The interactive parameters can be supplied with two ways:

  • As aesthetics with the mapping argument (via aes()). In this way they can be mapped to data columns and apply to a set of geometries.

  • As plain arguments into the geom_*_interactive function. In this way they can be set to a scalar value.

See also

Examples

# add interactive bar ------- library(ggplot2) library(ggiraph) p <- ggplot(mpg, aes( x = class, tooltip = class, data_id = class ) ) + geom_bar_interactive() x <- girafe(ggobj = p) if( interactive() ) print(x) dat <- data.frame( name = c( "David", "Constance", "Leonie" ), gender = c( "Male", "Female", "Female" ), height = c(172, 159, 71 ) ) p <- ggplot(dat, aes( x = name, y = height, tooltip = gender, data_id = name ) ) + geom_col_interactive() x <- girafe(ggobj = p) if( interactive() ) print(x) # an example with interactive guide ---- dat <- data.frame( name = c( "Guy", "Ginette", "David", "Cedric", "Frederic" ), gender = c( "Male", "Female", "Male", "Male", "Male" ), height = c(169, 160, 171, 172, 171 ) ) p <- ggplot(dat, aes( x = name, y = height, fill = gender, data_id = name ) ) + geom_bar_interactive(stat = "identity") + scale_fill_manual_interactive( values = c(Male = "#0072B2", Female = "#009E73"), data_id = c(Female = "Female", Male = "Male"), tooltip = c(Male = "Male", Female = "Female") ) x <- girafe(ggobj = p) if( interactive() ) print(x)