What is the primary goal of exploratory data analysis (EDA)?

Exploratory Data Analysis (EDA) is primarily used to gain insights into the data's underlying structure and patterns.

It helps in identifying key variables, relationships, and outliers that can influence further analysis.

While creating visualizations and collecting data are part of the data analysis process, the core objective of EDA is to understand the data's characteristics and inform the next steps in the analysis.