Correspondence Analysis (CA) is a statistical technique used to map relationships between qualitative variables. It visualizes data in a low-dimensional space, enabling the interpretation of complex relationships. This study addresses the challenge of visualizing contingency tables with more than three categories using Singular Value Decomposition (SVD) for dimensionality reduction. We apply this approach to stunting