What Data Really Is: Beyond the Textbook Definition

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Most people, including computer science students, learn a textbook definition of data that describes it as raw facts and figures but fails to explain its real-world significance. In practice, data is simply a recorded trace of something that happened — a click, a purchase, a step counted, or a message sent. Real-world data is often messy and inconsistent, and cleaning it is considered one of the most critical yet underappreciated skills in the data field. Data exists in three broad forms — structured, unstructured, and semi-structured — with unstructured data such as text, images, and video accounting for over 80% of all data generated globally. Understanding how raw data moves through collection, cleaning, analysis, and decision-making is essential for anyone working in or learning about technology today.

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