Data sciencists spend 22% of their time preparing data, 17% cleaning it. No data said is perfect for all questions and you can't ever clean the data just once. Everyone has a slightly different perception of this depending on what seat they're in. There was both verting your model from python or r into another language, and also converting from another language into python and r exactly.