# 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
Data Preparation
# Load data
<- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/scatter2/data.json")$exampleData[[1]]$textarea[[1]])
data <- as.data.frame(data)
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
<- data[,"gear"]
symsize "gear"] <- factor(data[,"gear"], levels = unique(data[,"gear"]))
data[,<- ggplot(data, aes(x = mpg, y = disp)) +
p 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
