# 安装包
if (!requireNamespace("scatterpie", quietly = TRUE)) {
install.packages("scatterpie")
}
# 加载包
library(scatterpie)
散点饼图
注记
Hiplot 网站
本页面为 Hiplot Scatterpie
插件的源码版本教程,您也可以使用 Hiplot 网站实现无代码绘图,更多信息请查看以下链接:
散点饼图用于可视化不同空间坐标中数据分类值的比例情况。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
scatterpie
数据准备
# 加载数据
<- read.delim("files/Hiplot/163-scatterpie-data.txt", header = T)
data
# 查看数据
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
可视化
# 散点饼图
<- ggplot() +
p 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
