# Install packages
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")
}
# Load packages
library(data.table)
library(jsonlite)
library(ggplot2)Dual Y Axis Chart
Hiplot website
This page is the tutorial for source code version of the Hiplot Dual Y Axis Chart plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
The dual Y-axis graph can put two groups of data with larger orders of magnitude in the same graph for display.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
data.table;jsonlite;ggplot2
sessioninfo::session_info("attached")β Session info βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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 2026-01-17
pandoc 3.1.3 @ /usr/bin/ (via rmarkdown)
quarto 1.8.27 @ /usr/local/bin/quarto
β Packages βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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
[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
* ββ Packages attached to the search path.
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Data Preparation
The loaded data is divided into three columns, the first column is the value of the x-axis, the second column is the value of the left Y-axis, and the third column is the value of the right Y-axis.
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/dual-y-axis/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
# View data
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
Visualization
# Dual Y Axis Chart
p <- ggplot(data, aes(x = x)) +
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
Interpretation of case statistics graphics In the case data, the Y-axis scale on the left is in the range of 0-100, while the Y-axis scale on the right is 0-1000.
