Exploratory data analysis is a methodological approach to analyzing data sets to summarize their main characteristics, often employing visual methods. It involves the systematic investigation of data structure, distributions, patterns, anomalies, and relationships between variables, primarily for generating insights and formulating hypotheses rather than strictly testing them. Key characteristics include its iterative and flexible nature, heavy reliance on graphical techniques and summary statistics, and its role in informing subsequent formal statistical modeling and analysis.