summarizeColumns: Summarize columns of data.frame or task.

In mlr: Machine Learning in R

Summarize columns of data.frame or task.

Description

Summarizes a data.frame, somewhat differently than the normal summary function of R. The function is mainly useful as a basic EDA tool on data.frames before they are converted to tasks, but can be used on tasks as well.

Columns can be of type numeric, integer, logical, factor, or character. Characters and logicals will be treated as factors.

Usage

summarizeColumns(obj)

Arguments

obj	(data.frame | Task) Input data.

Value

(data.frame). With columns:

name	Name of column.
type	Data type of column.
na	Number of NAs in column.
disp	Measure of dispersion, for numerics and integers sd is used, for categorical columns the qualitative variation.
mean	Mean value of column, NA for categorical columns.
median	Median value of column, NA for categorical columns.
mad	MAD of column, NA for categorical columns.
min	Minimal value of column, for categorical columns the size of the smallest category.
max	Maximal value of column, for categorical columns the size of the largest category.
nlevs	For categorical columns, the number of factor levels, NA else.

See Also

Other eda_and_preprocess: capLargeValues(), createDummyFeatures(), dropFeatures(), mergeSmallFactorLevels(), normalizeFeatures(), removeConstantFeatures(), summarizeLevels()

Examples

summarizeColumns(iris)

mlr documentation built on June 22, 2024, 10:51 a.m.