Tidyverse Book

Within the Tidyverse is the function ggplot2. Ggplot2 allows one to create visually pleasing graphics, including scatterplots, boxplots, density plots and more. There is a complement to the ggplot/tidyverse universe. It’s called ggiraph. Ggiraph allows the user to turn their normal ggplot graphs into interactive graphics.

Some usage of the ggiraph functions are:

• geom_bar_interactive
• geom_boxplot_interactive
• geom_histogram_interactive
• geom_line_interactive
• geom_map_interactive
• geom_path_interactive
• geom_point_interactive
• geom_polygon_interactive
• geom_rect_interactive
• geom_segment_interactive
• geom_text_interactive
• geom_tile_interactive

The ggiraph package lets you add three more aesthetics to your ggplot graph.

• tooltip: column of dataset that contains tooltips to be displayed when mouse is over elements.
• data_id: column of dataset that contains id to be associated with elements

The ggiraph function is called using library(ggiraph).

Tooltips Tooltips can be created using the following example:

library(tidyverse)
library(ggiraph)
library(fueleconomy)

ggexample <- ggplot(vehicles, aes(factor(vehicles$year), vehicles$hwy)) +
  geom_boxplot_interactive(aes(tooltip = year))


ggiraph(code = print(ggexample))

## Warning: package 'gdtools' was built under R version 3.4.4

Hover effects

ggexample <- ggplot(vehicles, aes(factor(vehicles$year), vehicles$hwy, color = hwy)) +
  geom_boxplot_interactive(aes(tooltip = year, data_id = year))


ggiraph(code = print(ggexample))

As you can see in the example above, the boxs change color on hover.