Contrasting results

Whenever there is a non-reliable product, one should not give up!

Instead, one should look for similar products and “fill-in the gaps”.

Interpolation may not be the most-reasonable approach, since there might be a lot of assumptions. I came across with some neat approaches on this issue. Do not get overwhelmed by the lack of data is definitely the first step. Then, one just needs to relax, take a deep breath, and dig in!

No comments: