Data wrangling is the process of transforming data so that it is suitable for use in an application. This incudes removing bad values of anomolies through data cleaning and transforming individual features or groups of features so that they are in the required form for a particular algorithm or system. For example, dates may need to be transformed into timestamps.
Used in Chap. 10: page 132