基于RStudio 实现数据可视化之二

最新推荐文章于 2025-06-08 09:20:53 发布

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最新推荐文章于 2025-06-08 09:20:53 发布 · 1.2k 阅读

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原文链接：http://www.cnblogs.com/RHadoop-Hive/p/10156361.html

1、数据预览

注：（数据来源于国家统计局）

2、轮廓图

> par(mai=c(0.7,0.7,0.1,0.1),cex=0.8)
> matplot(t(income[,2:9]),type="b",lty = 1:7,col=1:7,xlab = "消费项目",ylab = "支出金额",pch = 1,xaxt="n")
> axis(side = 1,at=1:8,labels = c("食品","衣着","居住","家庭设备用品及服务","医疗保健","交通和通信","教育文化娱乐及服务","其他商品服务"),cex.axis=0.6)
> legend(x="topright",legend = c("最低收入用户","低收入用户","中等偏下收入用户","中等收入用户","中等偏上收入用户","高收入用户","最高收入用户"),lty=1:7,col=1:7,text.width=1,cex=0.7)

3、雷达图