Data exploration is the initial step in the data analysis process where researchers investigate and summarize the main characteristics of a dataset to better understand its structure, patterns, and relationships. This process involves cleaning, organizing, and visualizing the data to identify trends, outliers, and potential insights that can guide further analysis and decision-making. Data exploration is often conducted using statistical techniques, visualization tools, and machine learning algorithms to uncover valuable information and patterns in the data.