Introduction: Data can take many forms: numbers, words, measurements, images, and even sounds. To make sense of this variety, data must be classified into different categories. Classification helps data analysts choose the right methods for analysis and ensures that data is organized, interpreted, and visualized correctly. Imagine a teacher who wants to analyze her students’ performance. She may collect names (text data), scores (numeric data), and grades (ordered data)  all belonging to different classifications. Understanding how to classify data correctly is the foundation of good data analysis.