What is the purpose of data reduction in the preprocessing phase?

Question $5$ options:

a$)$

Data reduction is aimed at removing all categorical data from the dataset.

b$)$

To simplify the visualization process by eliminating all numeric variables.

c$)$

It primarily focuses on increasing the dataset's dimensionality for deeper analysis.

d$)$

Reducing the complexity of data, making it more manageable for analysis.

e$)$

To increase the volume of data available for analysis by adding more variables.