Exploratory Data Analysis -

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

: Identify trends and relationships between variables.

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

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

: Verify if data meets the requirements for specific statistical methods, such as normal distribution. A Standard 5-Step EDA Workflow

: Identify trends and relationships between variables. Exploratory Data Analysis

: Detect outliers or impossible values (e.g., negative age) that could skew results. Exploratory Data Analysis (EDA) is a creative and

2 Exploratory Data Analysis (EDA) – STAT 508 - Statistics Online often through visual methods

: Verify if data meets the requirements for specific statistical methods, such as normal distribution. A Standard 5-Step EDA Workflow