Using hierarchies for categorical data

In this exercise, you will create and use hierarchies to apply data generalization on the bachelors column of the US Adult Income dataset.

An initial dictionary containing the hierarchies is available for you as hierarchies. It holds three categories for the education types: Primary, Secondary and Higher; each has a list of the data's corresponding education values. Feel free to explore it in the interactive console.

The dataset is available as income_df.

Initialize the education_hierarchy as an empty dictionary. This will hold the hierarchy information for each education category value in the column.
Complete the inner for loop to assign education values as keys and education types as values. For example {'Some-college': 'Higher education'}.
Apply education hierarchy generalization to the bachelors column, assigning the result to the new column bachelors_generalized.

Exercise

Using hierarchies for categorical data

Instructions