What Is Data Reduction?
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Data reduction is a technique to reduce the amount of data used for analysis by removing redundant or irrelevant information. It involves transforming large, complex datasets into simplified representations that can be used for further analysis. Data reduction can be used to reduce noise in the data, improve data accuracy, and make data processing more efficient. It is an important step in the data analysis process, as it helps to reduce the time and resources required to complete the analysis.