ggplot2 (version 0.9.1)

ggmissing: Create a plot to illustrate patterns of missing values.

Description

The missing values plot is a useful tool to get a rapid overview of the number and pattern of missing values in a dataset. Its strength is much more apparent when used with interactive graphics, as you can see in Mondrian (http://rosuda.org/mondrian) where this plot was copied from.

Usage

ggmissing(data, avoid = "stack", order = TRUE,
    missing.only = TRUE)

Arguments

data

input data.frame

avoid

whether missings should be stacked or dodged, see geom_bar for more details

order

if TRUE, order variables by number of missings

missing.only

if TRUE, only display variables with some missing data

See Also

ggstructure, ggorder

Examples

mmissing <- movies
mmissing[sample(nrow(movies), 1000), sample(ncol(movies), 5)] <- NA
ggmissing(mmissing)
ggmissing(mmissing, order=FALSE, missing.only = FALSE)
ggmissing(mmissing, avoid="dodge") + scale_y_sqrt()