lollipop_chart: Lollipop Chart
In thomas-neitmann/ggcharts: Get You to Your Desired Plot Faster

Description Usage Arguments Details Value Author(s) See Also Examples

Easily create a lollipop chart

lollipop_chart(
  data,
  x,
  y,
  facet = NULL,
  ...,
  line_size = 0.75,
  line_color = "auto",
  point_size = 4,
  point_color = line_color,
  highlight = NULL,
  sort = TRUE,
  horizontal = TRUE,
  top_n = NULL,
  threshold = NULL,
  other = FALSE,
  limit = NULL
)

`data`	Dataset to use for the bar chart
`x`	`character` or `factor` column of `data`
`y`	`numeric` column of `data` representing the lollipop length. If missing, the lollipop length will be proportional to the count of each value in `x`.
`facet`	`character` or `factor` column of `data` defining the faceting groups
`...`	Additional arguments passed to `aes()`
`line_size`	`numeric`. Size of the lollipop 'stick'
`line_color`	`character`. Color of the lollipop 'stick'
`point_size`	`numeric`. Size of the lollipop 'head'
`point_color`	`character`. Color of the lollipop 'head'
`highlight`	`character`. One or more value(s) of `x` that should be highlighted in the plot
`sort`	`logical`. Should the data be sorted before plotting?
`horizontal`	`logical`. Should the plot be oriented horizontally?
`top_n`	`numeric`. If a value for `top_n` is provided only the top `top_n` records will be displayed
`threshold`	`numeric`. If a value for threshold is provided only records with `y > threshold` will be displayed
`other`	`logical`. Should all `x` with `y < threshold` be summarized in a group called 'other' and be displayed at the bottom of the chart?
`limit`	Deprecated. use `top_n` instead.

Both top_n and threshold only work when sort = TRUE. Attempting to use them when sort = FALSE will result in an error. Furthermore, only top_n or threshold can be used at a time. Providing a value for both top_n and threshold will result in an error as well.

An object of class ggplot

Thomas Neitmann

For more details have a look at these vignettes: vignette("highlight", package = "ggcharts") vignette("customize", package = "ggcharts")

data(biomedicalrevenue)
revenue2016 <- biomedicalrevenue[biomedicalrevenue$year == 2016, ]
revenue_bayer <- biomedicalrevenue[biomedicalrevenue$company == "Bayer", ]

## By default lollipop_chart() creates a horizontal and sorted plot
lollipop_chart(revenue2016, company, revenue)

## If the `y` argument is missing the count of each value in `x` is displayed
lollipop_chart(mtcars, cyl)

## Create a vertical, non-sorted lollipop chart
lollipop_chart(revenue_bayer, year, revenue, horizontal = FALSE, sort = FALSE)

## Limit the number of lollipops to the top 15
lollipop_chart(revenue2016, company, revenue, top_n = 15)

## Display only companies with revenue > 50B.
lollipop_chart(revenue2016, company, revenue, threshold = 50)

## Change the color of the whole lollipop
lollipop_chart(revenue2016, company, revenue, line_color = "purple")

## Change the color of the lollipop stick and head individually
lollipop_chart(revenue2016, company, revenue, point_color = "darkgreen", line_color = "gray")

## Decrease the lollipop head size
lollipop_chart(revenue2016, company, revenue, point_size = 2.5)

## Highlight a single lollipop
lollipop_chart(revenue2016, company, revenue, top_n = 15, highlight = "Roche")

## Use facets to show the top 10 companies over the years
lollipop_chart(biomedicalrevenue, company, revenue, facet = year, top_n = 10)