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Data analytics is about extracting information from data and thus reducing it to a few, yet significant, parameters.
Data must be presented in a specific format in order to be used in machine learning. The purpose of data augmentation is to prepare data for machine learning.
Visualization of data involves translating complicated patterns and structures into easy-to-understand concepts and concepts that can be explained using figures or graphs.
