凹凸图

作者

[编辑] 郑虎;

[审核] .

凹凸图可以用于展示多组数值变化情况。

环境配置

系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包: data.table; jsonlite; ggplot2; ggbump; dplyr

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

# 加载包
library(data.table)
library(jsonlite)
library(ggplot2)
library(ggbump)
library(dplyr)

数据准备

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

# 查看数据
head(data)

     x y group
1 2019 4     A
2 2020 2     A
3 2021 2     A
4 2019 3     B
5 2020 1     B
6 2021 4     B

可视化

# 凹凸图
p <- ggplot(data, aes(x = x, y = y, color = group)) +
  geom_bump(size = 1.5) +
  geom_point(size = 5) +
  geom_text(data = data %>% filter(x == min(x)),
            aes(x = x - 0.1, label = group),
            size = 5, hjust = 1) +
  geom_text(data = data %>% filter(x == max(x)),
            aes(x = x + 0.1, label = group),
            size = 5, hjust = 0) +
  theme_void() +
  theme(legend.position = "none") +
  scale_color_manual(values = c("#0571B0","#92C5DE","#F4A582","#CA0020"))

p