Data Preprocessing Questions
Data standardization, also known as data normalization, is the process of transforming data into a common format or scale to ensure consistency and comparability. It involves adjusting the values of variables to a standard range or distribution, typically by subtracting the mean and dividing by the standard deviation. This technique is commonly used in data preprocessing to eliminate the effects of different measurement units, scales, or ranges, making the data more suitable for analysis and modeling.