I'm not sure how to frame this question, or where to start. I'm new to data analytics, but looking to develop skills and knowledge.
An example of what I'm asking is if you have a retailers sales data where you have the total value of a given transaction, and details of each item related to a given transaction but don't have price data for each individual item, is it possible to estimate the value of each individual item given a large enough transaction data set?
The analogy breaks down a little for the use case I'm actually considering, as under this retailer example an item would likely have a fixed price. However, in my use case each item has a known arbitrary tariff value but an unknown actual value. We would only know an aggregated actual value in conjunction with other items which may be grouped under the same "transaction". Tariff and actual values will likely have a strong linear correlation with some variability, though this isn't known as actual values for individual items are not captured.
Hope this makes sense! Was wondering how define this problem, what approach would you take to a problem like this? And any links to related reading materials would be much appreciated.