360°
Concept#Data#Analytics

Explorative Data Analysis (EDA)

Exploratory Data Analysis (EDA) is used to visually and statistically explore data to generate hypotheses and gain key insights. EDA is critical for data-driven decisions and helps analysts identify central trends and anomalies.

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 level
Enterprise
Organizational maturity
Intermediate
Impact area
Business
Decision
Decision type
Design
Value stream stage
Discovery
Assessment
Complexity
Medium
Maturity
Established
Cognitive load
Medium

Context in the model

Structural placement

Where this block lives in the structure.

Theme space
Data & Intelligence
Theme area
Data & Business Intelligence
Segment
Visualization & Storytelling
#Data#Analytics

Relations

Connected blocks

Directly linked content elements.

No relations available.