What type of data focuses on discovering underlying causes of crime?

Nonnumerical data is particularly relevant when the focus is on discovering underlying causes of crime because it encompasses qualitative insights that go beyond mere numerical representation. This type of data can include narratives, interviews, observational studies, and case histories, allowing analysts to uncover patterns, motivations, and contextual factors that influence criminal behavior. By utilizing nonnumerical data, crime analysts can delve into the complexities of human behavior, social dynamics, and environmental influences that contribute to crime, leading to a more comprehensive understanding of its root causes.

In contrast, categorical data typically involves grouping information into distinct categories, which may not provide the depth needed to explore underlying causes. Quantitative data focuses on numerical metrics and statistical relationships, largely emphasizing what is happening rather than why. Spatial data is related to the geographical locations of crimes and is useful for analyzing patterns and trends in crime distribution but does not inherently address the causal factors behind criminality. Thus, nonnumerical data stands out as the most effective means for uncovering the deeper reasons behind criminal behavior.