Structured

Structured data is any type of data that is organized as fixed fields within a record or file, such as data in relational databases and spreadsheets. Structured data depends upon a data model, which is the defined organization and meaning of the data and often how the data should be processed. This includes specifying the type of the data (integer, float, string, and so on), and any restrictions on the data, such as the number of characters, maximum and minimum values, or a restriction to a certain set of values.

Structured data is the type of data that pandas is designed to utilize. As we will see first with the Series and then with the DataFrame, pandas organizes structured data into one or more columns of data, each of a single and specific data type, and then a series of zero or more rows of data.