Data Preprocessing Questions
Data binning, also known as data discretization, is a data preprocessing technique used to categorize continuous numerical data into discrete bins or intervals. It involves dividing the data into equal-width or equal-frequency intervals, where each interval represents a specific range of values. This process helps to simplify the data and reduce the impact of outliers, making it easier to analyze and interpret the data. Binning can be useful in various data analysis tasks, such as data visualization, data mining, and machine learning.