分组饼状图（ggpiestats）

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Piestats Group 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/ggpiestats-group?lang=zh_cn

环境配置

  • 系统: Cross-platform (Linux/MacOS/Windows)

  • 编程语言: R

  • 依赖包: data.table; jsonlite; ggstatsplot; ggplot2; cowplot

# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("ggstatsplot", quietly = TRUE)) {
  install.packages("ggstatsplot")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("cowplot", quietly = TRUE)) {
  install.packages("cowplot")
}

# 加载包
library(data.table)
library(jsonlite)
library(ggstatsplot)
library(ggplot2)
library(cowplot)
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
 cowplot     * 1.2.0   2025-07-07 [1] RSPM
 data.table  * 1.18.0  2025-12-24 [1] RSPM
 ggplot2     * 4.0.1   2025-11-14 [1] RSPM
 ggstatsplot * 0.13.4  2025-12-09 [1] RSPM
 jsonlite    * 2.0.0   2025-03-27 [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/ggpiestats-group/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# 整理数据格式
axis <- c("genre", "mpaa")
data[, axis[1]] <- factor(data[, axis[1]], levels = unique(data[, axis[1]]))
data[, axis[2]] <- factor(data[, axis[2]], levels = unique(data[, axis[2]]))

# 查看数据
head(data)
                                               title year length budget rating
1                          Shawshank Redemption, The 1994    142     25    9.1
2     Lord of the Rings: The Return of the King, The 2003    251     94    9.0
3 Lord of the Rings: The Fellowship of the Ring, The 2001    208     93    8.8
4             Lord of the Rings: The Two Towers, The 2002    223     94    8.8
5                                       Pulp Fiction 1994    168      8    8.8
6                                   Schindler's List 1993    195     25    8.8
   votes  mpaa  genre
1 149494     R  Drama
2 103631 PG-13 Action
3 157608 PG-13 Action
4 114797 PG-13 Action
5 132745     R  Drama
6  97667     R  Drama

可视化

# 分组饼状图
g <- unique(data[,axis[2]])
plist <- list()
for (i in 1:length(g)) {
  fil <- data[,axis[2]] == g[i]
  plist[[i]] <- 
    ggpiestats(
      data = data[fil,], x = genre, 
      title= paste('', axis[2], g[i], sep = ':'),
      plotgrid.args = list(ncol = 3),
      label.repel = TRUE,
      k = 2
    ) +
    scale_fill_manual(values = c("#3B4992FF","#EE0000FF","#008B45FF","#631879FF",
                                 "#008280FF","#BB0021FF","#5F559BFF","#A20056FF",
                                 "#808180FF"))
}

plot_grid(plotlist = plist, ncol = 3)
图 1: 分组饼状图