Create a histogram with outlier bins — histbin • insurancerating

Visualize the distribution of a single continuous variable by dividing the x axis into bins and counting the number of observations in each bin. Data points that are considered outliers can be binned together. This might be helpful to display numerical data over a very wide range of values in a compact way.

Usage

histbin(
  data,
  x,
  left = NULL,
  right = NULL,
  line = FALSE,
  bins = 30,
  fill = NULL,
  color = NULL,
  fill_outliers = "#a7d1a7"
)

Arguments

data: data.frame
x: variable name in data.frame data that should be mapped
left: numeric indicating the floor of the range
right: numeric indicating the ceiling of the range
line: show density line (default is FALSE)
bins: numeric to indicate number of bins
fill: color used to fill bars
color: color for bar lines
fill_outliers: color used to fill outlier bars

Value

a ggplot2 object

Details

Wrapper function around ggplot2::geom_histogram(). The method is based on suggestions from https://edwinth.github.io/blog/outlier-bin/.

Author

Martin Haringa

Examples

histbin(MTPL2, premium)

histbin(MTPL2, premium, left = 30, right = 120, bins = 30)