Quickly make a ggplot to view data by geographic level

This is a quick way to make a bar chart, a Cleveland dotplot, or a histogram from a set of data, filled by geographic level.

Usage

geo_level_plot(
  data,
  name = name,
  value = value,
  level = level,
  type = c("col", "hist", "point"),
  hilite = "dodgerblue",
  title = NULL,
  dark_gray = "gray20",
  light_gray = "gray60",
  ...
)

Arguments

data

A data frame to use for plotting.

name

Bare column name containing names, i.e. independent variable.

value

Bare column name containing values, i.e. dependent variable.

level

Bare column name containing geographic levels for fill.

type

String: one of "col" (bar chart, using ggplot2::geom_col(), "point" (dot plot, using ggplot2::geom_point()), or "hist" (histogram, using ggplot2::geom_histogram()); defaults "col".

hilite

String giving the highlight color, used for the lowest geography present.

title

String giving the title, if desired, for the plot.

dark_gray

String giving the named gray color for the highest geography; defaults "gray20".

light_gray

String giving the named gray color for the second lowest geography; defaults "gray60".

...

Any additional parameters to pass to the underlying geom function.

Value

A ggplot

See also

ggplot2::geom_col() ggplot2::geom_point() ggplot2::geom_histogram()