R語言可視化中柱形圖的美化技巧

本篇內(nèi)容主要講解“R語言可視化中柱形圖的美化技巧”，感興趣的朋友不妨來看看。本文介紹的方法操作簡單快捷，實用性強。下面就讓小編來帶大家學(xué)習(xí)“R語言可視化中柱形圖的美化技巧”吧!

昨天以最簡單的單序列柱形圖作為對象詳細(xì)的講解了關(guān)于套用主題以及圖表美化的思路。

今天就我們常用的幾種柱形圖的衍生圖表——簇狀柱形圖、堆積柱形圖、百分比堆積柱形圖的美化工作進行講解。

我們還是以昨天的數(shù)據(jù)作為演示數(shù)據(jù)，同時添加兩年度數(shù)據(jù)。

data<-data.frame(Name = c("蘋果","谷歌","臉書","亞馬遜","騰訊"),Conpany = c("Apple","Google","Facebook","Amozon","Tencent"),Sale2015 = c(5000,3500,2300,2100,3100),Sale2016 = c(5050,3800,2900,2500,3300))

由于今天的案例數(shù)據(jù)中有兩個年份的數(shù)據(jù)，其實算是匯總過的二維表（寬數(shù)據(jù)），不符合R語言圖表數(shù)據(jù)源的結(jié)構(gòu)（一維表、長數(shù)據(jù)），所以需要使用reshape2包中的melt函數(shù)對數(shù)據(jù)進行重塑，將其變?yōu)殚L數(shù)據(jù)進行作圖：

library(reshape2)

mydata <- melt(data1,id.vars="Conpany",variable.name="Year",value.name="Sale")

接下來就要使用語法作圖嘍，一定要瞪大眼睛哦~

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")

套用主題：

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj()

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")+ggtitle("The Financial Performance of Five Giant")+theme_economist(base_size=14)+scale_fill_economist()+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))

堆積柱形圖套用主題：

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="stack")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="stack")+ggtitle("The Financial Performance of Five Giant")+theme_economist(base_size=14)+scale_fill_economist()+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))

百分比堆積柱形圖套用主題：

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="fill")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="fill")+ggtitle("The Financial Performance of Five Giant")+theme_economist(base_size=14)+scale_fill_economist()+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))

將以上所有圖表通過添加旋轉(zhuǎn)參數(shù)調(diào)整為條形圖：

簇狀條形形圖：

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))+coord_flip()

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="dodge")+ggtitle("The Financial Performance of Five Giant")+theme_economist(base_size=14)+scale_fill_economist()+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))+coord_flip()

堆積條形圖：

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="stack")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))+coord_flip()

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="stack")+ggtitle("The Financial Performance of Five Giant")+theme_economist(base_size=14)+scale_fill_economist()+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))+coord_flip()

百分比堆積條形圖：

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="fill")+ggtitle("The Financial Performance of Five Giant")+theme_wsj()+scale_fill_wsj("rgby", "")+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))+coord_flip()

ggplot(mydata,aes(Conpany,Sale,fill=Year))+geom_bar(stat="identity",position="fill")+ggtitle("The Financial Performance of Five Giant")+theme_economist(base_size=14)+scale_fill_economist()+theme(axis.ticks.length=unit(0.5,'cm'))+guides(fill=guide_legend(title=NULL))+coord_flip()

到此，相信大家對“R語言可視化中柱形圖的美化技巧”有了更深的了解，不妨來實際操作一番吧！這里是億速云網(wǎng)站，更多相關(guān)內(nèi)容可以進入相關(guān)頻道進行查詢，關(guān)注我們，繼續(xù)學(xué)習(xí)！