Structured Data
Structured data refers to any data that is organized in a specific format, making it easily searchable and analyzable. In the context of data science, structured data is often stored in databases or spreadsheets, and is typically represented using a tabular format, with rows and columns. Structured data is highly organized and can be easily processed by machines, making it ideal for use in data analysis and machine learning applications. Structured data can be contrasted with unstructured data, which refers to data that does not have a specific format or organization, such as text documents or images. Structured data is often used in business intelligence, where it can be used to identify patterns and trends in large datasets, and in machine learning, where it can be used to train models to make predictions based on historical data.
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