Pandas dummy variable creation

Let’s say that we have a categorical variable with 3 categories: unfurnished, semi-furnished, furnished
We use pandas.get_dummies() to one hot encode this variable and a separate binary column is not created for ‘unfurnished’ due to drop_first=True.

Let's imagine that "unfurnished" is actually a very important feature in the model. How would I know this? Because I remove unfurnished as per the example above. Yes we can still tell what row is unfurnished looking at your data, but for example if …

datascience pandas