Friday, August 28, 2015

Incheon GRDP

R ggplot


#making a table
year <- rep(grdp1[,1],17)
city <- rep(colnames(grdp1)[-1],each=14)
grdp = grdp1[,2]
for(i in 3:18){grdp <- c(grdp,grdp1[,i])}
grdptable <- data.frame(year, city, grdp)
#추리기
grdpsor <- grdptable[city=='전국'| city=='인천광역시'| city=='충청남도'| city=='서울특별시'| city=='울산광역시'| city=='대구광역시'| city=='광주광역시'| city=='제주특별자치도',]
#line_plot
ggplot(data=grdptable, aes(x=year, y=grdp, color=city, group=city))+geom_line()+geom_point()
ggplot(data=grdpsor, aes(x=year, y=grdp, color=city, group=city))+geom_line()+geom_point()
ggplot(data=grdpsor, aes(x=year, y=grdp, color=city, group=city))+geom_line()+geom_point()+ggtitle('주요 시도 지역내총생산 추이')+xlab('연도')+ylab('지역내총생산')

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