Projection is a research area within mathematics and computer science that focuses on transforming a set of data onto a lower-dimensional space while preserving certain important properties. This technique is commonly used in data visualization, dimensionality reduction, pattern recognition, and machine learning tasks. Projections can help simplify complex data and make it easier to analyze, interpret, and understand. There are various methods for projecting data, such as principal component analysis, t-distributed stochastic neighbor embedding, and multidimensional scaling.