What is typically not considered structured data?

Structured data refers to information that is organized in a predictable format, making it easily searchable and analyzable by algorithms. This type of data typically resides in fixed fields within a record or file. Common examples include spreadsheets, employee records, and sales data, all of which are arranged in a way that allows for easy data entry and retrieval.

Emails, on the other hand, do not conform to a strict structure. While they may contain certain elements like a sender, recipient, subject, and body, the content within emails can vary widely in format and meaning. Emails can include free-form text, attachments, and various metadata types, making them more challenging to analyze using traditional data processing techniques designed for structured data. Therefore, they are generally considered unstructured data, as their format is not fixed and can include a mix of different information types.