Abstract

In order to reveal the sectoral composition between the years (2003-2020) with the inflation-free (real) values of the Payments made by Debit Card, Credit Card and Internet Card, and to increase the efficiency of payment systems by identifying similar and differentiated sectors, Binary Loads (Orthogonal (Vertical) and Diagonal (Diagonal) matrices are created. The eigenvalues, eigenvectors (charges) and ordinary correlation results obtained from the matrices are combined in the plane of the binary load graph and the shapes of the columns are equalized to the eigenvalues using Mahalanobis distances, and without observation scaling so that the cosines of the angles between the vectors are equal to the correlations between the variables, the results are interpreted only in a constant proportionality. In the light of results such as eigenvalues, values, forward difference in eigenvalues, and the total variance ratio explained, it was determined that some of the sectors paid by card differ significantly from other sectors and clustered by carrying positive or negative loads (variances).