Data Science Desktop Survival Guide by Graham Williams
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Reorder Levels

20200820

ds %>%
  filter(location %in% (ds$location %>% unique %>% sample(10))) %>%
  mutate(location=factor(location,
                         levels=(location %>% unique() %>% sort() %>% rev()))) %>%
  ggplot(aes(location, temp_3pm, fill=location)) +
  stat_summary(fun="mean", geom="bar") +
  theme(legend.position="none") +
  coord_flip()

Labels will sometimes appear in the reverse order to that required. In the example below we explicitly reorder the levels to ensure the plot labels are in a more natural order for the human reader. We use dplyr::mutate() within a pipeline to create a factor with the levels in the desired order passing that on to ggplot2::ggplot().