Multidimensional scaling (MDS) is another dimensionality reduction tool that can help to visualize high-dimensional data in 2D scatter plots. This technique can be employed when the property of interest is the similarity/dissimilarity of compositions, which can be readily visualized by the distance of a compositional data point from all others. MDS is performed using the Scikit-learn package in Python, employing two dimensions to represent the dissimilarities.