Method#Data#Analytics
Exploratory Data Analysis (EDA)
Exploratory Data Analysis (EDA) is an iterative, methodical approach to examining datasets using visualization, summary statistics and simple transformations. The goal is to uncover patterns, outliers and hypotheses for further analysis. EDA reduces uncertainty and informs model selection, feature engineering and business questions.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Open 360° detail view
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context
Organizational leveli
Domain
Organizational maturityi
Intermediate
Impact areai
Business
Decision
Decision typei
Design
Value stream stagei
Discovery
Assessment
Complexityi
Medium
Maturityi
Established
Cognitive loadi
Medium
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.
Process · Enables
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