In the context of this exercise covering the data science process, what else might we keep in mind when coming up with a question?
In this exercise, it covered a few concepts to keep in mind when coming up with a good question, which include variable relationships, scope, and context. In addition to these, there are other considerations you might keep in mind.
When coming up with a question, you might want to consider How useful it is. For instance, will answering the question be beneficial in some way to your company, or will it advance some field in science?
Another important concept you might keep in mind is the cost. This includes time, money, manpower, technology, and many other factors that can be costly. If the question is too costly to answer, then it can be necessary to change it.
Furthermore, you might also keep in mind whether the question has been answered already. If it has already been answered, you may need to consider why you are answering it.