Question

I have the following data:

bin groupname   total_dist
0   rowA    377
0   rowA    306.6
0   rowB    2.1
0   rowB    110.6
1   rowA    918.1
1   rowA    463.2
1   rowB    798.2
1   rowB    1196
2   rowA    1295.1
2   rowA    1269.1
2   rowB    698
2   rowB    1022.1

Using R, I want to make a bar graph where there is a bar for rowA and a bar for rowB for each bin. I can group total_dist by one or the other (plot(total_dist~bin) or plot(total_dist~groupname)). But I can’t figure out how to combine them.

I want something that looks similar to this example:

Answer 1

Here is a classic solution. (Supposing your dataframe is named df )

data <- tapply(df$total_dist, list(df$groupname,df$bin), sum)

barplot(data,beside=T,col=c("#ee7700","#3333ff")
,main="European Parliament Elections",xlab="Group",ylab="Seats")

legend(locator(1),rownames(data),fill=c("#ee7700","#3333ff"))

and here is solution using ggplot2

library(ggplot2)
qplot(factor(bin),data=df,geom="bar",fill=groupname,weight=total_dist,position="dodge",
main = "European Parliament Elections", xlab="Group",ylab="Seats")