dumbbell_chart: Dumbbell Chart
In thomas-neitmann/ggcharts: Get You to Your Desired Plot Faster

Description Usage Arguments Value Author(s) See Also Examples

Easily create a dumbbell chart

dumbbell_chart(
  data,
  x,
  y1,
  y2,
  line_size = 1.5,
  line_color = "lightgray",
  point_size = 4,
  point_colors = c("#1F77B4", "#FF7F0E"),
  sort = TRUE,
  horizontal = TRUE,
  top_n = NULL,
  legend = TRUE,
  legend_labels = waiver(),
  limit = NULL
)

`data`	Dataset to use for the dumbbell chart
`x`	`character` or `factor` column of `data`
`y1`	`numeric` column of `data` representing the dumbbell end
`y2`	`numeric` column of `data` representing the dumbbell start
`line_size`	`numeric`. Line width
`line_color`	`character`. Line color
`point_size`	`numeric`. Point size
`point_colors`	`numeric`. Point color
`sort`	`logical`. Should the data be sorted by `y2` before plotting?
`horizontal`	`logical`. Should the plot be displayed horizontally?
`top_n`	`integer`. If a value for top_n is provided only the first `top_n` records will be displayed
`legend`	`logical`. Should a legend be displayed?
`legend_labels`	`character`. Custom labels to be displayed in the legend
`limit`	Deprecated. use `top_n` instead.

An object of class ggplot

Thomas Neitmann

To learn how to further customize this plot have a look at the 'customize' vignette: vignette("customize", package = "ggcharts")

data(popeurope)

dumbbell_chart(popeurope, country, pop1952, pop2007)

# Display only the top 10 countries in terms of population in 2007
dumbbell_chart(popeurope, country, pop1952, pop2007, top_n = 10)

# Change line and point color
dumbbell_chart(popeurope, country, pop1952, pop2007, top_n = 10,
               line_color = "lightgray", point_color = c("lightgray", "black"))

# Add custom legend labels
dumbbell_chart(popeurope, country, pop1952, pop2007, top_n = 10,
               legend_labels = c("1952", "2007"))

# Increase line width and point size
dumbbell_chart(popeurope, country, pop1952, pop2007, top_n = 10,
               line_size = 2, point_size = 5)