This page follows the previous introduction that explained the basis of circle packing with R and the ggraph library. It describes how to customize color, size, labels and more.
Mapping the bubble size to a numeric variable allows to add an additionnal layer of information to the chart.
Here, the 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
ggraph()
function.
# Libraries
library(ggraph)
library(igraph)
library(tidyverse)
library(viridis)
# We need a data frame giving a hierarchical structure. Let's consider the flare dataset:
<- flare$edges
edges <- flare$vertices
vertices <- graph_from_data_frame( edges, vertices=vertices )
mygraph
# 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
RColorBrewer
palettes:
# Left: color depends of depth
<- ggraph(mygraph, layout = 'circlepack', weight=size) +
p geom_node_circle(aes(fill = depth)) +
theme_void() +
theme(legend.position="FALSE")
p
# Adjust color palette: viridis
+ scale_fill_viridis() p
# Adjust color palette: colorBrewer
+ scale_fill_distiller(palette = "RdPu") p
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)
<- flare$edges %>%
edges filter(to %in% from) %>%
droplevels()
<- flare$vertices %>%
vertices filter(name %in% c(edges$from, edges$to)) %>%
droplevels()
$size <- runif(nrow(vertices))
vertices
# Rebuild the graph object
<- graph_from_data_frame( edges, vertices=vertices )
mygraph
# 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()
# Right
ggraph(mygraph, layout = 'circlepack', weight=size ) +
geom_node_circle(aes(fill = depth)) +
geom_node_label( aes(label=shortName, filter=leaf, size=size)) +
theme_void() +
theme(legend.position="FALSE") +
scale_fill_viridis()
👋 After crafting hundreds of R charts over 12 years, I've distilled my top 10 tips and tricks. Receive them via email! One insight per day for the next 10 days! 🔥