What type of data can be easily searched and filtered, while other elements are not?

The correct choice is structured data. This type of data is organized in a predefined manner, often within databases or spreadsheets, enabling it to be easily searched and filtered using queries and algorithms. Structured data typically consists of clearly defined fields such as numbers, dates, and strings, making it straightforward to manipulate and analyze.

In contrast, unstructured data does not follow a specific format or structure, making it challenging to search or filter effectively. Examples include text documents, images, and videos, which require advanced techniques to extract meaningful information. Semi-structured data lies between structured and unstructured data. It incorporates elements that do not have a strict structure, such as JSON or XML, which can complicate the interaction compared to structured data.

Time-series data is a specific type of structured data that focuses on sequential observations collected over time. While it is searchable, its unique aspect of temporal ordering does not encompass the entire definition of easily searchable and filterable data.

Therefore, structured data is the best fit for the characteristic of being easily searchable and filterable, as it adheres to a clear organizational schema.