Mapping the bubble size to a numeric variable allows to add an additionnal layer of information to the chart.
vertices data frame has a
size column that is used for the bubble size. Basically, it just needs to be passed to the
weight argument of the
# Libraries library(ggraph) library(igraph) library(tidyverse) library(viridis) # We need a data frame giving a hierarchical structure. Let's consider the flare dataset: edges <- flare$edges vertices <- flare$vertices mygraph <- graph_from_data_frame( edges, vertices=vertices ) # Control the size of each circle: (use the size column of the vertices data frame) ggraph(mygraph, layout = 'circlepack', weight="size") + geom_node_circle() + theme_void()
Adding color to circular packing definitely makes sense. The first option is to map color to depth: the origin of every node will have a color, the level 1 another one, and so on..
As usual, you can play with the colour palette to fit your needs. Here are 2 examples with the
viridis and the
To add more insight to the plot, we often need to add labels to the circles. However you can do it only if the number of circle is not to big. Note that you can use
geom_node_text (left) or
geom_node_label to annotate leaves of the circle packing:
# Create a subset of the dataset (I remove 1 level) edges <- flare$edges %>% filter(to %in% from) %>% droplevels() vertices <- flare$vertices %>% filter(name %in% c(edges$from, edges$to)) %>% droplevels() vertices$size <- runif(nrow(vertices)) # Rebuild the graph object mygraph <- graph_from_data_frame( edges, vertices=vertices ) # left ggraph(mygraph, layout = 'circlepack', weight="size" ) + geom_node_circle(aes(fill = depth)) + geom_node_text( aes(label=shortName, filter=leaf, fill=depth, size=size)) + theme_void() + theme(legend.position="FALSE") + scale_fill_viridis()