Data reduction techniques are methods used to reduce the amount of data that needs to be processed, analyzed, or stored while retaining the essential information. These techniques help simplify datasets, making them more manageable and interpretable, especially in the context of analyzing multiple variables and dimensions in multivariate analysis. They are crucial for enhancing the efficiency of statistical analyses and improving the clarity of results derived from complex datasets.
congrats on reading the definition of data reduction techniques. now let's actually learn it.