Calculate the means (or other function) per group to analyze how each segment behaves. It scales each variable mean into the 0 to 1 range to easily profile the groups according to its mean. It also calculates the mean regardless of the grouping. This function is also useful when you want to profile cluster results in terms of its means. It automatically adds a row representing the summary of the column regardless of the group_var categories, which is useful to compare each segment with the whole population. It will exclude all factor/character variables.

group_summary(data, group_var, group_func = mean)

Arguments

data

Input data source.

group_var

Variable to make the group by.

group_func

Function to be used in the group by. Default is mean.

Value

Grouped data frame.