Many people have no occsasion to collect data in the real world. One basically has to dream up scenarios in which data collection might be desired, then sort through those to see if a frequency table would be of any value.
Some manufacturing processes produce parts that have a wide range of characteristics. Sometimes the range is much larger than is desired for a particular purpose, so the parts are "binned". That is, if they have characteristics in a specific narrow range, they are put into a bin with other similar parts.
Some customers want only parts with a particular specific characteristic (color or brightness, for example). If a request for quote comes that asks for a large number of these parts, it would be helpful to have on hand previously collected data about the percentage of production that falls into the specific bins desired. That is, a frequency table showing the number in each bin produced by a given operator, machine setting, environmental condition, material supplier, or other variable would be very helpful information when responding to the customer.
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Perhaps less complicated: a frequency table showing the zip codes of folks who show up for your art class might give you helpful information about where to target your advertising.
