Which data visualization technique is most effective for identifying correlations between multiple variables in a large marketing dataset?

A correlation matrix, visualized as a heatmap, is the most effective data visualization technique for identifying correlations between multiple variables in a large marketing dataset. A correlation matrix is a table that shows the correlation coefficients between all pairs of variables in a dataset. Correlation coefficients measure the strength and direction of the linear relationship between two variables, ranging from -1 to +1. A correlation coefficient of +1 indicates a perfect positive correlation, meaning that as one variable inc....