{ggplot2}
scale color aesthetic to be discrete
{ggplot2}
scale x axis to be date
{ggplot2}
scale y axis to be continuous
{ggplot2}
control legend formatting
{ggplot2}
scale fill aesthetic to continuous color gradient
{ggplot2}
set guides for scale
{ggplot2}
scale y axis to be log base 10
{ggplot2}
control legend color bar
{ggplot2}
scale color aesthetic to continuous color gradient
{ggplot2}
plot horizontal reference line
{ggplot2}
customize non-data components of plot
{ggplot2}
plot line segment
{ggplot2}
modify axis, legend, and plot labels
{ggplot2}
plot rectangle
xlim
{ggplot2}
coordinate argument to limit data range
{ggplot2}
use Cartesian coordinates
ylim
{ggplot2}
coordinate argument to limit data range
{ggplot2}
map colors to data with ColorBrewer
{ggplot2}
map colors to data manually
{ggplot2}
plot vertical reference line
{ggplot2}
scale x axis to be continuous
{ggplot2}
adds text in rectangle to plot
{ggplot2}
adds text to plot
{grid}
plot arrows
{ggrepel}
adds text in rectangle to plot with labels repelling away from each other and the data
{base}
returns quoted expression
{ggplot2}
save a ggplot
{stringr}
wrap strings into nicely formatted paragraphs
{base}
divide range of vector into intervals
{ggplot2}
scale color aesthetic to diverging color gradient
limits
{ggplot2}
scale argument to limit data range
{ggplot2}
annotate plot independent of data
{readr}
parse date/time
{ggplot2}
scale x axis to be log base 10
{viridis}
scale color aesthetic to viridis color gradient
The end!