Now that we have started preparing our data for our clustering analysis, we need to preprocess it. Specifically, we need to transform our categorical variables into integers via Label Encoder. A label encoder is a tool used in machine learning to convert categorical data, or data that can be divided into categories, into numerical values. This is useful because many machine learning algorithms require numerical input and cannot process categorical data directly. The label encoder assigns a unique integer value to each category in the data, allowing the data to be used in machine learning models.