## 11.9 Bar Chart Flipped Colour Mean no Legend

20200608

ds %>%
filter(location %in% (ds\$location %>% unique %>% sample(20))) %>%
ggplot(aes(location, temp_3pm, fill=location)) +
stat_summary(fun="mean", geom="bar") +
theme(legend.position="none") +
labs(x=vnames["temp_3pm"], y=vnames["location"]) +
coord_flip() 

Use ggplot2::coord_flip() to flip the coordinates and produce a horizontal histogram. Rotating the plot is generally useful when there are a large number of factor levels to fit on the x-axis. It is also easier to read the labels left to right rather than bottom up as we would need to do for the original plot.

For clarity of presentation here we reduce by using a dplyr::filter() the number of locations, selecting a random base::sample() of the base::unique() locations.

Colour is added through introducing a fill= option to the ggplot2::aes(). The bars in the chart generated using ggplot2::stat_summary() report on the base::mean() of the temperatures as recorded at 3pm daily for each location. The legend is removed through the ggplot2::theme().

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