Example of non-numerical data is Employee address
An example is the weight of luggage loaded onto an airplane. Counting the number of times a ball dropped from a rooftop bounces before it comes to rest comprises numerical data.On the other hand, non-numerical data, also called categorical, qualitative or Yes/No data, is data that can be observed, not measured.
A quantitative variable is naturally measured as a number for which meaningful arithmetic operations make sense. Examples: Height, age, crop yield, GPA, salary, temperature, area, air pollution index (measured in parts per million), etc. Any variable that is not quantitative is categorical.