Cross-tabulate categorical candidates against Y

EFS-4 Order: #4 Explore Data and Find Signal Has Dependencies

Updated 1 month, 2 weeks ago

Guidance

Run pd.crosstab(feature, Y, margins=True) for each categorical feature candidate as a cheap first-pass independence check before committing to the heavier correlation/modeling work in the next workflow.

Details

Order:: #4
Phase:
Predecessor:: EFS-3 Engineer and derive features
Successor:: EFS-5 Compute correlation/covariance and significance between features and Y
Created:: Sep 18, 2026
Last Updated:: Sep 18, 2026

Workflow

Explore and Engineer Features

Profile the cleaned data, choose candidate target variable(s) Y, and construct a feature table plus first-pass relationship checks (crosstabs, correlations) …

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Assigned Agent

EDA Practitioner

The person or AI system running this playbook end to end — analyst, programmer, and …

Required Skills

Feature Engineering and Transformation Feature Engineering pandas

Rules

No rules linked.

Input Artifacts

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Output Artifacts

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