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Ratio dimensions represent quantitative values that include a natural zero. This means that the values measured on a ratio scale allow for the calculation of meaningful ratios between different values. For example, if you consider measurements such as weight, height, or income, a value of zero signifies the absence of that quantity, allowing for the interpretation of values like "twice as much" or "half as much" in a meaningful way.
In data analysis, recognizing and utilizing ratio dimensions is crucial because they enable effective comparisons and mathematical operations such as addition, subtraction, multiplication, and division. The natural zero point provides a baseline that makes it possible to quantify and compare variations in the data accurately. This is why ratio dimensions are particularly powerful in analytics environments such as Qlik Sense, where clear distinctions between different types of measurements can enhance data visualization and overall insight extraction.