viz_factor: Visualize categorical features

In mrweaver77/autoEDA: Generates EDA report

Visualize categorical features

Description

Visualize categorical features

Usage

viz_factor(
  data,
  outcome,
  outcome_type,
  positive_class = NA,
  var,
  na_remove = T,
  lump = T,
  prop = 0.01,
  string_miss = T
)

Arguments

data	dataframe
outcome	outcome name in string format
outcome_type	either 'classification' or 'regression'
positive_class	if doing binary classification specify the positive class
var	feature name in string format
na_remove	specify the removal of outliers
lump	group all levels underneath a certain threshold as 'other'
prop	if using lump specify the proportion

mrweaver77/autoEDA documentation built on April 5, 2023, 8:11 p.m.