Data transformation involves converting data into a suitable format for analysis. Common methods include normalization, standardization, and log transformation. These techniques help in handling skewed data distributions and making variables comparable. For instance, normalization scales data to a range of 0 to 1, which is useful for algorithms that require a bounded input range.
