What are the different types of data normalization?

What are the different types of data normalization?

Data normalization is a process used to organize data in a database. The main types include Min-Max normalization, Z-score normalization, and Decimal scaling.

Can you explain Min-Max normalization?

Min-Max normalization rescales the data to a fixed range, usually [0, 1]. It subtracts the minimum value and divides by the range.

What about Z-score normalization?

Z-score normalization, or standardization, transforms data to have a mean of 0 and a standard deviation of 1, making it useful for comparing different datasets.

When should I use Decimal scaling?

Decimal scaling is used when you want to move the decimal point of values to normalize them, often applied when data has a large range.