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############### ## read data ## ############### ## read the original time-series: this one is needed for the dashed grey line, connecting all the dots data <- read.csv("data.csv", sep=",") data <- data[-15,] #remove data after 1935 data[,2] <- data[,2]/1000000 #devide data by 1000000 to get "millions" on the y-Axis attach(data) ## read the time-series filled up with NA's: this one is needed for the solid lines, which are connecting only # dots of cohering years data.NA <- read.csv("data_NA.csv", sep=",") data.NA <- data.NA[-(38:nrow(data.NA)),] #remove data after 1935 attach(data.NA) tickets.NA <- tickets.NA/1000000 #devide data by 1000000 to get "millions" on the y-Axis ############## ## plotting ## ############## ##un-comment for pdf-output: #pdf(file="test3.pdf", width=10, height=7) par(cex=1.2) ## first, plot the grey line: plot(tickets ~ year, type="l", lty=2, col="grey50", xlab="Jahr", ylab="verkaufte Fahrkarten (Mio.)", bty="l", lwd=2) ## add the dots: points(tickets.NA ~ year.NA, pch=16, col="blue") ## add the blue lines: lines(tickets.NA ~ year.NA, type="l", lwd=2, col="blue", lend=3) ## add the legend: legend(x="bottomright", legend="keine zusammenhängenden Daten verfügbar", lty=2, col="grey50", lwd=2, bty="n") ##un-comment for pdf-output: #dev.off()
The Graph was exported as PDF and imported in Inkscape for slight adjustments (e.g. Arrows) and then exported as SVG.
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