散点饼图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

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:

https://hiplot.cn/basic/scatterpie?lang=zh_cn

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: data.table; jsonlite; scatterpie

# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("scatterpie", quietly = TRUE)) {
  install.packages("scatterpie")
}

# 加载包
library(data.table)
library(jsonlite)
library(scatterpie)
sessioninfo::session_info("attached")
─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.5.2 (2025-10-31)
 os       Ubuntu 24.04.3 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  C.UTF-8
 ctype    C.UTF-8
 tz       UTC
 date     2026-01-28
 pandoc   3.1.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.8.27 @ /usr/local/bin/quarto

─ Packages ───────────────────────────────────────────────────────────────────
 package    * version date (UTC) lib source
 data.table * 1.18.0  2025-12-24 [1] RSPM
 ggplot2    * 4.0.1   2025-11-14 [1] RSPM
 jsonlite   * 2.0.0   2025-03-27 [1] RSPM
 scatterpie * 0.2.6   2025-09-12 [1] RSPM

 [1] /home/runner/work/_temp/Library
 [2] /opt/R/4.5.2/lib/R/site-library
 [3] /opt/R/4.5.2/lib/R/library
 * ── Packages attached to the search path.

──────────────────────────────────────────────────────────────────────────────

数据准备

# 加载数据
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/scatterpie/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(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
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
图 1: 散点饼图