Several methods are commonly employed in exploratory analysis:
Descriptive Statistics: Measures such as mean, median, mode, range, and standard deviation summarize the central tendencies and dispersion within the data. Visualization Techniques: Graphs, histograms, scatter plots, and heatmaps help in visualizing data distributions and relationships. Correlation Analysis: Examining correlation coefficients to understand the strength and direction of relationships between variables. Data Clustering: Techniques like k-means clustering can identify groups within the data that share similar characteristics.
