What is the process of organizing data into categories based on their attributes called?

The process of organizing data into categories based on their attributes is known as data classification. This concept involves grouping data into defined categories that share similar characteristics, which allows for easier data management, analysis, and retrieval. Classification helps in understanding data by enabling users to identify patterns, make comparisons, and draw insights related to the categories created.

Data classification is crucial in various fields, including geographic information systems (GIS), where it aids in the effective representation and understanding of spatial data. For instance, classifying land use types or geological formations can significantly enhance the analysis and visualization of spatial data within a GIS framework.

In contrast, data management refers to the overall administration and control of data assets, encompassing practices for storing, maintaining, and backing up data. Data design involves the planning and structuring of data elements and their relationships within databases, ensuring that the system is efficient and meets the needs of users. Data analysis focuses on examining, interpreting, and summarizing data to draw conclusions, which follows after classification has occurred.