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Plot missing value profile

Source: R/plot_missing.R
plot_missing.Rd

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),
  group_color = list(Good = "#1B9E77", OK = "#E6AB02", Bad = "#D95F02", Remove =
    "#E41A1C"),
  missing_only = FALSE,
  geom_label_args = list(),
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(legend.position = c("bottom")),
  plotly = FALSE
)

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).

group_color

bar color list for each of the group. Default is list("Good" = "#1B9E77", "OK" = "#E6AB02", "Bad" = "#D95F02", "Remove" = "#E41A1C").

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.

plotly

if TRUE, convert to interactive plotly object (requires the plotly package). Default is FALSE.

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))

plot_missing(airquality, group = list("Awesome!" = 0.2, "Oh no!" = 1),
group_color = list("Awesome!" = "green", "Oh no!" = "red"))


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