Oftentimes, in the field of data analytics, it’s the data cleaning and processing that takes the most amount of time and effort. While the steps such as data cleaning, filtering, and pre-processing are generally under-evaluated or overlooked as compared to more juicy components such as the model development, it’s the quality of data that determines the quality of output. As it is rightly said, Garbage In = Garbage Out, and vice versa.