AI Engineering Management: Exploratory Data Analysis (EDA) in Python — Multiple Variables Analysis

Analyze and Explore Data Relationships

Prior Chapters:

PART I — Methodology

PART II — Estimation

PART III — EDA — Understanding Data & Single Variable Analysis

Non-Member Link of this Part: https://mrmanna.medium.com/ai-engineering-management-exploratory-data-analysis-eda-in-python-multiple-variable-analysis-1c7a707c598d?sk=43be6a0d76d49fcf09dcdd5fc74c8c38

Bivariate Analysis

Bivariate analysis examines the relationship between two variables. This helps us identify correlations, dependencies, and interactions that reveal deeper insights into the data.

In this section, we’ll:

1. Analyze relationships between numerical variables.
2. Explore interactions between numerical and categorical variables.
3. Explore interactions between two categorical variables.

Relationships Between Numerical Variables

The relationship between two numerical variables can often be summarized using measures like correlation or visualized…