Ratio data is a type of quantitative data that measures variables on a continuous scale with an equal distance between adjacent values. It has all the properties of interval data, such as numeric values and equal distance between points, but with a true zero point. This means that a measure of zero on a ratio scale is absolute, and ratio data can never have a negative value. Examples of ratio data include height, weight, income, and time to repurchase.

Some key characteristics of ratio data are:

• It is measured on a continuous, equidistant scale that shows order, direction, and a precise difference in values.
• It has a true zero point, which makes the data relevant and meaningful in a manner where it is right to say, “one object is twice as long as the other,” or 4 has twice the value as 2.

Ratio data can be analyzed using descriptive and inferential statistics, and almost all statistical tests can be performed on it because all mathematical operations are permissible. To visualize ratio data, one can use a boxplot or a histogram.