Constructing a covariance matrix involves calculating the covariance between each pair of variables in a dataset. Suppose we have a dataset with `n` variables; the covariance matrix will be an `n x n` matrix where each element (i, j) represents the covariance between the `i-th` and `j-th` variable. The diagonal elements represent the variance of each individual variable.
