# Install packages
if (!requireNamespace("data.table", quietly = TRUE)) {
install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
install.packages("jsonlite")
}
if (!requireNamespace("grafify", quietly = TRUE)) {
install.packages("grafify")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}
# Load packages
library(data.table)
library(jsonlite)
library(grafify)
library(ggplot2)Scatter2
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Scatter2 plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Two-dimensional spatial scatter to demonstrate multi-numerical variable relationships.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
data.table;jsonlite;grafify;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
grafify * 5.1.0 2025-08-25 [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/scatter2/data.json")$exampleData[[1]]$textarea[[1]])
data <- as.data.frame(data)
# View data
head(data[,1:5]) car mpg cyl disp hp
1 Hornet 4 Drive 21.4 6 258.0 110
2 Hornet Sportabout 18.7 8 360.0 175
3 Valiant 18.1 6 225.0 105
4 Duster 360 14.3 8 360.0 245
5 Merc 450SE 16.4 8 275.8 180
6 Merc 450SL 17.3 8 275.8 180
Visualization
# scatter2
symsize <- data[,"gear"]
data[,"gear"] <- factor(data[,"gear"], levels = unique(data[,"gear"]))
p <- ggplot(data, aes(x = mpg, y = disp)) +
geom_point(alpha = 1, aes(size = gear, fill = gear), shape = 21, stroke = 0.5) +
labs(fill = "gear", color = "gear") +
guides(x = guide_axis(angle = 0),
fill = guide_legend(title = "gear"),
color = FALSE,
size = guide_legend(title = "gear")) +
ggtitle("Scatter2 Plot") +
scale_fill_grafify() +
theme_classic(base_size = 20) +
theme(text = element_text(family = "Arial"),
strip.background = element_blank(),
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
