I often see graphs that are poorly implemented in that they do not achieve their goal. One such type of graph that I see are dodged bar charts. Here is an example of a dodged bar chart summarizing the number of all star players by team (focusing specifically on the AL central division) and year from the Lahman r package:
library(Lahman) library(dplyr) library(ggplot2) library(RColorBrewer) AllstarFull$selected <- 1 numAS <- AllstarFull %>% filter(yearID > 2006, lgID == 'AL', teamID %in% c('MIN', 'CLE', 'DET', 'CHA', 'KCA')) %>% group_by(teamID, yearID) %>% summarise(number = sum(selected)) b <- ggplot(numAS, aes(x = teamID, y = number, fill = factor(yearID))) + theme_bw() b + geom_bar(stat = "identity", position = "dodge") + scale_fill_brewer("Year", palette = "Dark2") Note: If you are curious from the above graph, there appears to be two typos in the teamIDs, where CHA should be CHW (Chicago White Sox) and KCA should be KCR (Kansas City Royals).