Labels on stacked bar chart

Question

I've looked at lots of questions on this but nothing seems to get it quite right.

I have this bar chart of soccer matches that's stacked to show which team had better or worse form and how that mapped to the result.

I want to add a label to each of the segments of the bars to show the total for that segment -- eg, 15 for "Blades and draw" -- and also a total for the bar at the top, ideally.

Here's the chart:

Here's the code used to create it:

ggplot(Sheff_derby_form_league, aes(x = Result)) + 
geom_bar(aes(y = ..count.., fill = Res_vs_f_team)) +
labs(title = "Blades vs Owls. League derby form and result",
   subtitle = "Team with form advantage a little more likely to win", 
   x = "Better form: > 0.33ppg over opponent. Even form: < 0.33ppg", y = "") 
   + scale_fill_brewer(palette = "RdBu")

You've seen this one? https://stackoverflow.com/q/6644997/5325862 That gets you halfway there with labels on the segments — camille, Feb 13 '19 at 17:29

score 0 · Accepted Answer · answered Feb 13 '19 at 17:37

Since you haven't provided data, I am using one of the default datasets. You can easily make labeled stacked bar chart using ggbarstats function from ggstatsplot (https://indrajeetpatil.github.io/ggstatsplot/reference/ggbarstats.html) that additionally gives some other helpful details. As the multiple examples show below, the defaults can be modified to your liking.

# setup
set.seed(123)
library(ggplot2)
library(ggstatsplot)

# percentage
ggstatsplot::ggbarstats(
  data = mtcars,
  main = am,
  condition = cyl,
  messages = FALSE
)

# count
ggstatsplot::ggbarstats(
  data = mtcars,
  main = am,
  condition = cyl,
  data.label = "count",
  package = "wesanderson",
  palette = "Royal2",
  messages = FALSE
)

# count and percentage
ggstatsplot::ggbarstats(
  data = mtcars,
  main = am,
  condition = cyl,
  data.label = "both",
  messages = FALSE
) +
  ggplot2::labs(subtitle = NULL)

^{Created on 2019-02-13 by the reprex package (v0.2.1)}

Labels on stacked bar chart

1 Answers1