Exploratory Data Analysis -

: Detect outliers or impossible values (e.g., negative age) that could skew results.

Exploratory Data Analysis (EDA) is a creative and iterative process used to understand a dataset's main characteristics, often through visual methods, before formal modeling begins. It acts as a "storytelling" phase where analysts uncover patterns, spot anomalies, and test hypotheses. The Core Objectives of EDA Exploratory Data Analysis

: Use data-driven generation to validate initial assumptions. : Detect outliers or impossible values (e

: Identify trends and relationships between variables. often through visual methods

2 Exploratory Data Analysis (EDA) – STAT 508 - Statistics Online