2. Preparation: This is the process of cleaning and transforming the data into a format that is suitable for analysis. This may involve removing duplicate data, filling in missing values, and reformatting the data into a consistent structure.
3. Analysis: This is the process of using statistical and other analytical techniques to explore the data and identify patterns and trends. This may involve creating visualizations, calculating summary statistics, and conducting hypothesis tests.
4. Interpretation: This is the process of drawing conclusions from the analysis and communicating the results to others. This may involve writing reports, giving presentations, or creating interactive dashboards.