tidylearn (version 0.1.0)

tl_explore: Exploratory Data Analysis Workflow

Description

Comprehensive EDA combining unsupervised learning techniques to understand data structure before modeling

Usage

tl_explore(data, response = NULL, max_components = 5, k_range = 2:6)

Value

An EDA object with multiple analyses

Arguments

data

A data frame

response

Optional response variable for colored visualizations

max_components

Maximum PCA components to compute (default: 5)

k_range

Range of k values for clustering (default: 2:6)

Examples

# \donttest{
eda <- tl_explore(iris, response = "Species")
plot(eda)
# }