Can you elaborate on the four distinct types of statistics that are commonly used in data analysis? Are these categories strictly defined, or do they overlap in some cases? Understanding the nuances between descriptive, inferential, predictive, and exploratory statistics is crucial for making informed decisions based on data insights. So, could you please explain the key characteristics and purposes of each type, as well as any real-world applications where they might be particularly useful?