What kind of fields do interval dimensions represent?

Interval dimensions in data analysis, particularly in Qlik Sense, are used to represent quantitative values that do not have a natural zero. This means that the measurement does not begin from zero or does not include a value where zero would logically indicate the absence of the quantity being measured. Examples of such values can include temperature measured in Celsius or Fahrenheit (where 0 does not indicate an absence of temperature) or values like credit scores. These dimensions allow analysts to categorize data into intervals for better insights and visualizations.

This contrasts with fields that have a natural zero, which would not be classified as interval dimensions. Qualitative values without order do not fit this concept either, as they pertain to categorical data that cannot be measured on a continuous scale. Similarly, values that are always whole numbers would be more representative of ratio dimensions, which include an absolute zero. Understanding the characteristics of interval dimensions is essential for effective data structuring and visualization in Qlik Sense.