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 invidual features or groups of features so that they are in the required form for a oarticuakr algorithm or sstem. For example, dates may need to be transformed into timestamps.
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