271:# manually download the file hm7.xlsx from https://www.rbnz.govt.nz/statistics/m7 and save it to the working directory # load readxl program to read Microsoft Excel format files library(readxl) # read in data debt <-read_excel("hm7.xlsx", sheet = "Data", range ="A5:N155", col_names = T, skip =4,col_types = c("numeric")) names(debt) <- "Date" debt] <- as.Date(debt], origin = "1899-12-30") # create new dataframe data <- data.frame(Date =debt],NetDebt = debt],Debt2GDp =debt]) # convert from negative to positive values data$ NetDebt <- sqrt(data$ NetDebt * data$ NetDebt) data$ Debt2GDp <- sqrt(data$ Debt2GDp * data$ Debt2GDp) # calculate GDP and add to data data$ GDP <- data$ NetDebt / ( data$ Debt2GDp * .01) # create svg format chart of net debt with 14 pt text font and grid lines via 'grid' with y axis as 0 to 200 svg(filename="nzGDPdata_720by540.svg", width = 8, height = 6, pointsize = 14, onefile = FALSE, family = "sans", bg = "white", antialias = c("default", "none", "gray", "subpixel")) par(mar=c(2.7,3,1,1)+0.1) plot(data], data]/10^3,ylim=c(0,420),tck=0.01,axes=TRUE,ann=TRUE, las=1,col="#CC0000",lwd=1,type='l',lty=1,ylab="", xlab="") # Guardsman Red "#CC0000" grid(col="darkgray",lwd=1) points(data],data]/10^3,col="#CC0000",pch=19,cex = 0.6) # Guardsman Red "#CC0000" lines(data],data]/10^3,col="#000099",cex = 0.6) # "#000099" is navy blue points(data],data]/10^3,col="#000099",pch=19,cex = 0.6) # "#000099" is navy blue axis(side=4, tck=0.01, las=0,tick=TRUE,labels = FALSE) mtext(side=1,cex=0.9,line=-1.3,"Data: https://www.rbnz.govt.nz/statistics/m7 \nBalance of Payments and International Investment Position - M7") mtext(side=3,cex=1.4, line=-2.2,expression(paste("New Zealand GDP and Net Debt from 2000")) ) mtext(side=2,cex=0.9, line=-1.3,"NZ$ Billions") mtext(side=4,cex=0.75, line=0.05,R.version.string) legend(as.numeric(data]),350, bty = "n", c("Gross Domestic Product","Net International Debt"), col=c("#CC0000", "#000099"), cex= 1, text.col = 1, lty = 1, pch = c(19,19)) dev.off()
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