Which type of data can be converted into structured data?

The most fitting choice is semi-structured data because it possesses some organizational properties that allow for easier conversion into structured data formats. Semi-structured data includes elements like tags and markers that separate data elements, making it more organized than purely unstructured data. For example, data formats such as XML and JSON can store data in a way that maintains some level of structure, which facilitates the extraction and transformation into a structured format like a database table.

While raw data can also be processed into structured data, it usually lacks inherent organization and formal structure, thus requiring more extensive processing. Unstructured data, which includes formats like text documents and images, lacks any pre-defined data model or format, making conversion into structured data much more complex. Non-structured data is often synonymous with unstructured data, so similar challenges apply. Therefore, semi-structured data stands out as the type most readily convertible into structured data, thanks to its intrinsic organization, which acts as a bridge between unstructured and structured formats.