Exercise

Fill dummy values

Analyzing the missingness of a variable against another variable helps you determine any relationships between missing and non-missing values. This is very similar to how you found correlations of missingness between two columns in the previous exercises.

In this exercise, you're going to write a function which fills in dummy values in the DataFrame and in the next exercise you are going to plot a scatter plot to analyze if there is any correlation of missingness against another column. The operations involve shifting and scaling the column range with a scaling factor.

The function rand() has been imported for you from numpy.random.

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Calculate the number of missing values in each column of the dummy DataFrame.