Data Science Desktop Survival Guide by Graham Williams
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Plot the Mean with CI

Raw Various other annotations can be added to the plot. In the following we include a confidence interval around the average values. This results in the plot shown in Figure 10.1.

ds %>%
  filter(location %in% levels(location)[1:10]) %>%
  mutate(location=factor(location,
                         levels=rev(levels(location)[1:10]))) %>%
  ggplot(aes(location, temp_3pm, fill=location)) +
  stat_summary(fun.y="mean",
               geom="bar") +
  stat_summary(fun.data="mean_cl_normal",
               geom="errorbar",
               width=0.35) +
  theme(legend.position="none") +
  coord_flip()

Figure 10.1: Including confidence intervals.