Interactive Data Visualizations

Shiny

Why use ggiraph

• You want to provide your readers with more information than the basic information available; you can display a tooltip when the user’s mouse is on a graphical element, you can also visually animate elements with the same attribute when the mouse passes over a graphical element, and finally you can link a JavaScript action to the click, such as opening a hypertext link.
• You want to allow users of a Shiny application to select graphical elements; for example, you can make the points of a scatter plot selectable and available as a reactive value from the server part of your application. With Shiny, ggiraph allows interaction with graph elements, legends elements, titles and ggplot theme elements from the server part; each selection is available as a reactive value.

Data: Book weight and volume

The allbacks data frame gives measurements on the volume and weight of 15 books, some of which are paperback and some of which are hardback

# A tibble: 15 × 4
   volume  area weight cover
    <dbl> <dbl>  <dbl> <fct>
 1    885   382    800 hb   
 2   1016   468    950 hb   
 3   1125   387   1050 hb   
 4    239   371    350 hb   
 5    701   371    750 hb   
 6    641   367    600 hb   
 7   1228   396   1075 hb   
 8    412     0    250 pb   
 9    953     0    700 pb   
10    929     0    650 pb   
11   1492     0    975 pb   
12    419     0    350 pb   
13   1010     0    950 pb   
14    595     0    425 pb   
15   1034     0    725 pb   

Weight vs Volume Interactive-ggiraph

library(ggiraph)
books_girafe <- ggplot(allbacks, aes(x = volume, y = weight,
                tooltip=paste0("(",volume,",",weight,")"))) +
  
  geom_point_interactive(alpha = 0.7, size = 3)

girafe(ggobj = books_girafe,width_svg = 12)

Weight vs Volume Interactive-plotly

library(plotly)
books_plotly <- plot_ly(allbacks, x= ~volume, y= ~weight,height = 450)

books_plotly