DataExplorer (version 0.8.0)

plot_missing: Plot missing value profile

Description

This function returns and plots frequency of missing values for each feature.

Usage

plot_missing(data, group = list(Good = 0.05, OK = 0.4, Bad = 0.8, Remove
  = 1), geom_label_args = list(), title = NULL,
  ggtheme = theme_gray(), theme_config = list(legend.position =
  c("bottom")))

Arguments

data

input data

group

missing profile band taking a list of group name and group upper bounds. Default is list("Good" = 0.05, "OK" = 0.4, "Bad" = 0.8, "Remove" = 1).

geom_label_args

a list of other arguments to geom_label

title

plot title

ggtheme

complete ggplot2 themes. The default is theme_gray.

theme_config

a list of configurations to be passed to theme.

Value

invisibly return the ggplot object

See Also

profile_missing

Examples

# NOT RUN {
plot_missing(airquality)

## Customize band
plot_missing(airquality, group = list("B1" = 0, "B2" = 0.06, "B3" = 1))

## Shrink geom_label size
library(ggplot2)
plot_missing(airquality, geom_label_args = list("size" = 2, "label.padding" = unit(0.1, "lines")))
# }