Discuss the importance of data : Dummy Variable creation in Python

The video tutorial explains how to convert categorical variables into numerical variables by creating dummy variables in Python using pandas. It covers the process of using the get_dummies method, specifying parameters like prefix and drop_first, and demonstrates how to apply these techniques to a sample dataframe. The tutorial emphasizes the importance of converting categorical data for regression or classification analysis.

Why is it important to set the drop_first parameter to true when creating dummy variables?

Describe how the resulting dummy variables represent the original categorical variables.