In the Equal Interval classification method, how are the classes defined?

In the Equal Interval classification method, classes are defined using fixed intervals based on the range of values in the dataset. This approach divides the entire range of data into a specified number of intervals that are equally spaced, meaning that each interval has the same width. For example, if the range of the data spans from 0 to 100 and the user decides to create five classes, each class would cover an interval of 20 units (0-20, 21-40, 41-60, 61-80, and 81-100).

This method is particularly useful for visualizing continuous data and facilitating comparison across classes since it provides a uniform spacing that can help identify patterns or trends in the data. By using fixed intervals, the Equal Interval method ensures that all classes have the same potential for representation in a graphical output, making it easier to interpret the data.