Scatterpie

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Scatterpie 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/scatterpie?lang=en

Scatter Pie can be used to visualize data fraction in different space coordinates.

Setup

  • System Requirements: Cross-platform (Linux/MacOS/Windows)

  • Programming language: R

  • Dependent packages: scatterpie

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

# Load packages
library(scatterpie)

Data Preparation

# Load data
data <- read.delim("files/Hiplot/163-scatterpie-data.txt", header = T)

# View data
head(data)
            x          y          A        B        C        D
1  -56.047565  12.665926 0.71040656 2.887786 1.309570 2.892264
2  -23.017749  -1.427338 0.25688371 1.403569 1.375096 4.945092
3    7.050839  68.430114 0.24669188 0.524395 3.189978 5.138863
4   12.928774 -11.288549 0.34754260 3.144288 3.789556 2.295894
5 -126.506123  29.230687 0.95161857 3.029335 1.048951 2.471943
6  -68.685285   6.192712 0.04502772 3.203072 2.596539 4.439393

Visualization

# Scatterpie
p <- ggplot() +
  geom_scatterpie(data = data, aes(x = x, y = y), cols = colnames(data)[-c(1, 2)]) +
  scale_fill_manual(values = c("#E64B35FF","#4DBBD5FF","#00A087FF","#3C5488FF")) +
  labs(x="x", y="y") +
  theme_minimal() +
  theme(text = element_text(family = "Arial"),
        plot.title = element_text(size = 12,hjust = 0.5),
        axis.title = element_text(size = 12),
        axis.text = element_text(size = 10),
        axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
        legend.position = "right",
        legend.direction = "vertical",
        legend.title = element_text(size = 10),
        legend.text = element_text(size = 10))

p
FigureΒ 1: Scatterpie