Data Science Desktop Survival Guide by Graham Williams
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20200823

ds %>%
  filter(location %in% (ds$location %>% unique %>% sample(20))) %>%
  mutate(location=factor(location,
                         levels=(location %>% unique() %>%
                                   sort() %>% rev()))) %>%
  ggplot(aes(location, fill=location)) +
  geom_bar(width=1, colour="white") +
  theme(legend.position="none") +
  labs(x=vnames["temp_3pm"], y=vnames["location"]) +
  coord_flip() +
  geom_text(stat="count", color="white", hjust=1.0, size=3,
            aes(y=..count.., label=..count..))

It can be informative to show actual numeric values on a plot. This plot shows the counts.