# 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")
}
# 加载包
library(data.table)
library(jsonlite)
library(ggplot2)
双Y轴图
双Y轴图可以将两组数量级较大的数据放在同一个图中进行展示。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
data.table
;jsonlite
;ggplot2
数据准备
载入数据为分为三列,第一列是x轴的数值,第二列为左侧Y轴的数值,第三列为右侧Y轴的数值。
# 加载数据
<- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/dual-y-axis/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
data
# 查看数据
head(data)
x data1 data2
1 1 0.6105444 1000.5383
2 2 0.9961953 981.0398
3 3 0.6314076 961.0601
4 4 0.8651855 941.2540
5 5 0.8169382 922.3971
6 6 0.1877025 903.3067
可视化
# 双Y轴图
<- ggplot(data, aes(x = x)) +
p geom_line(aes(y = data[, 2]), size = 1, color = "#D72C15") +
geom_line(aes(y = data[, 3] / as.numeric(10)), size = 1, color = "#02657B") +
scale_y_continuous(
name = colnames(data)[2],
sec.axis = sec_axis(~ . * as.numeric(10), name = colnames(data)[3])) +
ggtitle("Dual Y Axis Chart") + xlab("x") +
theme_bw() +
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

案例数据中左侧Y轴比例尺量级在0-100的范围,而右侧Y轴比例尺则在0-1000。