Visualizing PCA results is essential for data analysis. Loading plots highlight feature contributions to principal components, while explained variance ratio plots indicate the variance captured by each component. Scatter plots of PCA-transformed data reveal patterns and clusters, enhancing understanding and decision-making in data interpretation.