# 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")
}
if (!requireNamespace("ggExtra", quietly = TRUE)) {
install.packages("ggExtra")
}
# Load packages
library(data.table)
library(jsonlite)
library(ggplot2)
library(ggExtra)Extended Scatter
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Extended Scatter plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
An extended scatter plot adds marginal plots to the basic scatter plot to provide a more comprehensive view of the data distribution.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
data.table;jsonlite;ggplot2;ggExtra
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
ggExtra * 0.11.0 2025-09-01 [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
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/extended-scatter/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
# View data
head(data) mpg cyl disp hp drat wt qsec vs am gear carb
1 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
2 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
3 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
4 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
5 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
6 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
Visualization
# Extended Scatter
p <- ggplot(data, aes(x = wt, y = mpg, color = cyl, size = cyl)) +
geom_point() +
geom_rug(alpha = 0.2, size = 1.5, col = "#4f80b3") +
theme(legend.position = "none")
p <- ggMarginal(
p, type = "densigram", fill = "#7054cc", color = "#7f0080",
size = 4, bins = 30)
p
