## Warning: Removed 1 rows containing missing values (geom_bar).
## Warning: Removed 1 rows containing missing values (geom_text).
%>% ds ggplot(aes(x=wind_dir_3pm, fill=rain_tomorrow)) + geom_bar(position="dodge") + geom_text(stat="count", aes(label=..count..), position=position_dodge(width=0.9), vjust=-0.2, size=2) + scale_y_continuous(labels=comma, limits=c(0, 18500)) + labs(x=vnames["wind_dir_3pm"], y="Count", fill="Rain Tomorrow") + scale_fill_brewer(palette="Set2") + ::theme_solarized_2() + ggthemestheme(legend.position="top")
A dodged bar chart is produced when a
fill= option is provided for
the ggplot2::aes() and
position="dodge" option for the
ggplot2::geom_bar(). We can add numeric labels using
ggplot2::geom_label() (as in Section 11.15) or
using ggplot2::geom_text() (as in Section
11.20). Here we demonstrate with
Notice the use of scales::comma() for the labels as should be standard practice.
To tune the plot we’ve moved the legend to the top with the
legend.position="top" option of ggplot2::theme(), increased the
y-axis to fit the label using the
limits= option of the
ggplot2::scale_continuous() family of functions.
We have also chosen ggthemes::theme_solarized_2() for a different style of presentation. Notice that the ggplot2::theme() is placed after the ggthemes::theme_solarized_2() to override the default of the theme which is to place the legend on the right.
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