tl_explore: Exploratory Data Analysis Workflow
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
tl_explore R Documentation
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)
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)
Value
An EDA object with multiple analyses
Examples
eda <- tl_explore(iris, response = "Species")
plot(eda)
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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| tl_explore | R Documentation |
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)
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) |
Value
An EDA object with multiple analyses
Examples
eda <- tl_explore(iris, response = "Species")
plot(eda)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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