desc_groups_rank: Profiling categorical variable (rank)

In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Profiling categorical variable (rank)

Description

Similar to 'desc_groups' function, this one computes the rank of each value in order to quickly know what is the value in each segment that has the highest value (rank=1). 1 represent the highest number. It will exclude all factor/character variables.

Usage

desc_groups_rank(data, group_var, group_func = mean)

Arguments

data	input data source
group_var	variable to make the group by
group_func	the data type of this parameter is a function, not an string, this is the function to be used in the group by, the default value is: mean

Value

grouped data frame, showing the rank instead of the absolute values/

Examples

# default grouping function: mean
desc_groups_rank(data=mtcars, group_var="gear")

# using the median as the grouping function
desc_groups(data=mtcars, group_var="cyl", group_func=median)

# using the max as the grouping function
desc_groups_rank(data=mtcars, group_var="gear", group_func=max)

funModeling documentation built on May 29, 2024, 3:24 a.m.