%>% 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.
Exercise: Instead of plotting the counts, plot the mean
and include the textual value.
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