区间区域图

作者

[编辑] 郑虎;

[审核] .

环境配置

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

  • 编程语言: R

  • 依赖包: ggplot2

# 安装包
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}

# 加载包
library(ggplot2)

数据准备

案例数据为一年十二个月份的最高和最低温度和对应的月份简称。通过案例数据绘制了每个月份的温度区间及温度均线。

# 加载数据
data <- read.delim("files/Hiplot/089-interval-area-chart-data.txt", header = T)

# 整理数据格式
data[["month"]] <- factor(data[["month"]], levels = data[["month"]])

# 查看数据
head(data)
  month min_temperature max_temperature mean
1   Jan              15              20   16
2   Feb              17              25   20
3   Mar              20              26   23
4   Apr              25              30   27
5   May              30              35   32
6   Jun              32              35   34

可视化

# 区间区域图
p <- ggplot(data, aes(x = month, group = 1)) +
  geom_line(aes(y = max_temperature), size = 1.2, color = "#EA3323", 
            linetype = "solid") +
  geom_line(aes(y = min_temperature), size = 1.2, color = "#0000F5", 
            linetype = "solid") +
  geom_line(aes(x = month, y = mean), size = 1.2, color = "#BEBEBE", 
            linetype = "dashed") +
  geom_ribbon(aes(ymin = min_temperature, ymax = max_temperature), 
              fill = "#F2F2F2", alpha = 0.5) +
  geom_text(aes(x = month, y = max_temperature + 1, label = max_temperature),
            color = "#EA3323", size = 2.5, vjust = -0.5, hjust = 0) +
  geom_text(aes(x = month, y = min_temperature - 1, label = min_temperature),
            color = "#0000F5", size = 2.5, vjust = 1.5, hjust = 0) +
  geom_text(aes(x = month, y = mean, label = mean),
            color = "#BEBEBE", size = 2.5, vjust = 1.5, hjust = 0) +
  labs(title = "Temperature", x = "Month", y = "Temperature") +
  scale_color_manual(values = c(max = "#EA3323", min = "#0000F5")) +
  theme_bw() +
  theme(plot.title = element_text(hjust = 0.5))

p
图 1: 区间区域图