the good and the badData are not always in the most convenient form to work with and sometimes applying a transformation can help simplify analysis. Transformations can be applied to one attribute or to many. A simple example is given below. The curve on the left represents data captured during a testing process (in this case this curve is typical of the deceleration experienced by objects of different masses but with the same contact area being dropped and cushioned by a foam cushion). A simple data fit model of the behaviour is not apparent for the raw data as the shape is quite complex. However, by taking \(log_e\) of the x value, i.e. define \(x' = log_e(x)\), and replotting \((x',y)\) values the curve becomes similar in shape to a quadratic which is much easier to work with.