散点图2

作者

[编辑] 郑虎;

[审核] .

注记

Hiplot 网站

本页面为 Hiplot Scatter2 插件的源码版本教程，您也可以使用 Hiplot 网站实现无代码绘图，更多信息请查看以下链接:

https://hiplot.cn/basic/scatter2?lang=zh_cn

二维空间散点展示多数值变量关系。

环境配置

系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包: grafify; ggplot2

# 安装包
if (!requireNamespace("grafify", quietly = TRUE)) {
  install.packages("grafify")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}

# 加载包
library(grafify)
library(ggplot2)

数据准备

# 加载数据
data <- read.delim("files/Hiplot/162-scatter2-data.txt", header = T)

# 查看数据
head(data)

                car  mpg cyl  disp  hp drat    wt  qsec vs am gear carb
1    Hornet 4 Drive 21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
2 Hornet Sportabout 18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
3           Valiant 18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
4        Duster 360 14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
5        Merc 450SE 16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
6        Merc 450SL 17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3

可视化

# 散点图2
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