Circle Packing

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Circle Packing plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/circle-packing?lang=en

Circle packing is a visualization method used to display the differences in quantity among different categories.

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: packcircles; ggplot2; viridis

# Install packages
if (!requireNamespace("packcircles", quietly = TRUE)) {
  install.packages("packcircles")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("viridis", quietly = TRUE)) {
  install.packages("viridis")
}

# Load packages
library(packcircles)
library(ggplot2)
library(viridis)

Data Preparation

# Load data
data <- read.table("files/Hiplot/021-circle-packing-data.txt", header = T)

# convert data structure
packing <- circleProgressiveLayout(data[["v"]], sizetype = "area")
data <- cbind(data, packing)
dat_gg <- circleLayoutVertices(packing, npoints = 50)
colors <- c("#E57164","#F8ECA7","#9389C1","#3F9C78","#769F8D","#E5F9A9","#7CE9A4",
            "#CE9FCA","#78F197","#8BB085","#D88880","#A6E4C3","#F7F6B1","#C5E69A",
            "#F45FDE","#5CF371","#9259CF","#2B6D9B","#F3C096","#EEADBE")
dat_gg$value <- rep(colors, each = 51)

# View data
head(data)

  g   v           x          y   radius
1 A 100  -5.6418958  0.0000000 5.641896
2 B 120   6.1803872  0.0000000 6.180387
3 C  80  -0.2298516 -9.2166458 5.046265
4 D  10  -6.7961670 -7.3357638 1.784124
5 E  60 -12.9322538 -6.8624061 4.370194
6 F  30 -14.3618753  0.4597221 3.090194

Visualization

# Circle Packing
p <- ggplot() +
  geom_polygon(data = dat_gg, aes(x, y, group = id, fill = value), colour = "black", alpha = 0.4) +
  scale_fill_manual(values = magma(nrow(data))) +
  theme_void() +
  theme(legend.position = "none") +
  coord_equal() +
  scale_size_continuous(range = c(2.3, 4.5)) +
  geom_text(data = data, aes(x, y, size = v, label = g), vjust = 0) +
  geom_text(data = data, aes(x, y, label = v, size = v), vjust = 1.2)

p