Structured datasets are organized collections of data that follow a specific format, making them easy to analyze and interpret. They typically consist of rows and columns, similar to a spreadsheet, where each row represents a unique record and each column represents a specific attribute or variable. Common examples include databases and tables used in applications like Microsoft Excel or SQL. These datasets often use predefined data types, such as numbers, dates, or text, which help maintain consistency and accuracy. Because of their structured nature, they can be easily queried and manipulated using various tools and programming languages, such as Python or R, facilitating data analysis and decision-making.