An example of data wrangling would be taking a dataset of customer purchase history and manipulating it to create various products' recommendation engines. This would involve sifting through the data to identify patterns and trends in customer behavior, and then using that information to develop algorithms that could predict what other products a customer might be interested in. The process of data wrangling can be quite complex and time-consuming, but the end result is usually well worth it!