如何使用二维直方图/频率图绘制R中的二进制聚类数据

# 导入所需的库和数据
library(ggplot2)
data <- read.csv("binary_cluster_data.csv")

# 数据预处理（如果需要）
# data <- na.omit(data)
# data <- remove_outliers(data)

# 创建二维直方图/频率图
ggplot(data, aes(x = variable1, y = variable2)) +
  geom_histogram(binwidth = 0.1, fill = "blue") +
  labs(title = "二维直方图/频率图",
       x = "变量1",
       y = "变量2") +
  theme_minimal()

# 添加其他图层和美化图形（可选）
# + geom_vline(xintercept = mean(data$variable1), color = "red") +
# + geom_hline(yintercept = mean(data$variable2), color = "green") +
# + geom_text(x = 0, y = 0, label = "注释", color = "black")

# 显示和保存图形
print(ggplot_object)
ggsave("histogram_plot.png")