clickR (version 0.9.45)

check_quality: Checks data quality of a variable

Description

Returns different data quality details of a numeric or categorical variable

Usage

check_quality(
  x,
  id = 1:length(x),
  plot = TRUE,
  numeric = NULL,
  k = 5,
  n = ifelse(is.numeric(x) | ttrue(numeric) | class(x) %in% "Date", 5, 2),
  output = FALSE,
  ...
)

Value

A list of a data.frame with information about data quality of the variable

Arguments

x

A variable from a data.frame

id

ID column to reference the found extreme values

plot

If the variable is numeric, should a boxplot be drawn?

numeric

If set to TRUE, forces the variable to be considered numeric

k

Number of different numeric values in a variable to be considered as numeric

n

Number of extreme values to extract

output

Format of the output. If TRUE, optimize for exporting as csv

...

further arguments passed to boxplot()

Examples

check_quality(airquality$Ozone)  #For one variable
lapply(airquality, check_quality)  #For a data.frame
lapply(airquality, check_quality, output=TRUE)  #For a data.frame, one row per variable