Rank-Frequency Distribution is a statistical relationship often observed in linguistic, social, and economic data, where the frequency of an event is inversely proportional to its rank. This distribution is famously exemplified by Zipf's Law, which states that in many datasets, the second most common item appears approximately half as often as the most common item, the third most common item appears one-third as often, and so on.