Here’s a look at categorical data, why it’s hard to wrangle, and how it could be useful. Categorical Data 101. There are two main types of data: categorical and numerical. Numerical data, as the name ...

Conclusion. Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.

Bar charts are a way to represent categorical data visually, in a horizontal or vertical display. Bars can be single, stacked, or grouped. By looking through the whole chart, it is easy to see the ...