method#Data#Analytics#Product

Exploratory Data Analysis (EDA)

EDA is a structured visual and statistical approach for initial investigation of datasets to identify patterns, outliers and assumptions.

Exploratory Data Analysis (EDA) is an iterative, methodical approach to examining datasets using visualization, summary statistics and simple transformations.

Maturity

Established

Cognitive loadMedium

360° overview

Exploratory Data Analysis (EDA)

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Exploratory Data Analysis (EDA)

360°

Classification

2

Complexity: Medium
Impact area: Business

Technical context

2

Integrations

Databases (PostgreSQL, BigQuery)

+2

Principles & goals

1

Proceed iteratively: quickly form and validate hypotheses.

Value stream stage: Discovery

Use cases & scenarios

4

Use cases: 3
Scenarios: 3

Compromises

3

Risks: 3
Best practices: 3

I/O & resources

4

Inputs: 3
Outputs: 3