plot_missing: Plot missing value profile

In DataExplorer: Automate Data Exploration and Treatment

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),
  missing_only = FALSE,
  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).
missing_only	plot features with missing values only? Default is FALSE.
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

plot_missing(airquality)
plot_missing(airquality, missing_only = TRUE)

## 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")))

DataExplorer documentation built on Dec. 16, 2020, 1:07 a.m.