In exploratory data analysis (EDA), the initial step involves collecting and organizing the data to ensure it is clean and free from errors or inconsistencies. Next, the data is visualized using charts, graphs, and plots to identify patterns, trends, and outliers. Descriptive statistics, such as mean, median, and standard deviation, are then calculated to summarize the data's central tendency and variability. Relationships between variables are examined through correlation analysis and scatter plots. This process involves iterating between visualization and statistical analysis to refine the understanding of the data. Finally, the insights and patterns discovered are documented, laying the groundwork for further analysis or modeling.Â