Difference between Karl Pearson and spearmans rank order coefficient?

Karl Pearson's coefficient, also known as Pearson's correlation coefficient, measures the linear relationship between two continuous variables and assumes that the data is normally distributed. In contrast, Spearman's rank-order coefficient assesses the strength and direction of the relationship between two ranked variables, making it suitable for non-parametric data or ordinal data. While Pearson's coefficient evaluates the actual values, Spearman's focuses on the ranks, allowing it to capture monotonic relationships even when they are not linear.