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...fly 70 8 bb fly 65 3 bb fly 60 0 bb fly 55 0 bb batch 95 0 bb batch 90 0 bb batch 85 4 bb batch 80 3 bb batch 75 15 bb batch 70 10 bb batch 65 6 bb batch 60 7 bb batch 55 1 bb And the R code: # Crunch some stuff with brewboard (and similar polls). # Data is already tabulated. x = read.csv("SpargeEff.csv") # Shift value to centre of bin x$efficiency = x$efficiency + 2.5 # Ignore rows with no votes (NA), zeros are ok though y = x[which(!is.na(x$count)),] r = rep(row.names(y), y$count) z = y[r,] z$count = 1 par(mfrow=c(2,2)) barplot(table(z$method), main="number of responses") ba...