Which type of structured data does an analyst use?

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Multiple Choice

Which type of structured data does an analyst use?

Structured data is data that is organized into a fixed schema, usually stored in a relational database with clearly defined fields and data types. This makes it easy to query, filter, join, and perform calculations. Store inventory is a classic example: each record has predefined fields such as item ID, name, category, quantity on hand, price, supplier, and location. Because the data are consistently formatted in rows and columns, analysts can quickly run queries, compute totals, and generate reports. Customer feedback, by contrast, is typically unstructured text (and sometimes semi-structured in surveys), which requires text analysis to extract insights. Weather data can be numeric and time-stamped and is often structured, but in everyday business analysis, inventory data most clearly exemplifies the structured data analysts routinely work with.

Structured data is data that is organized into a fixed schema, usually stored in a relational database with clearly defined fields and data types. This makes it easy to query, filter, join, and perform calculations.

Store inventory is a classic example: each record has predefined fields such as item ID, name, category, quantity on hand, price, supplier, and location. Because the data are consistently formatted in rows and columns, analysts can quickly run queries, compute totals, and generate reports.

Customer feedback, by contrast, is typically unstructured text (and sometimes semi-structured in surveys), which requires text analysis to extract insights. Weather data can be numeric and time-stamped and is often structured, but in everyday business analysis, inventory data most clearly exemplifies the structured data analysts routinely work with.

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