Data preparation challenges Data preparation is a necessity for many analysis tasks, but is identified as taking 60% to 80% of a data scientist’s time. Why is this percentage so…
Data preparation is important because obtaining insights from data is important. Such insights can often only be obtained after some data preparation. How much is typically required? The scale of the task…
Data scientists are employed to obtain insights from data. This typically involves applying analysis, learning or visualization techniques to existing data sets. However, the most suitable data for a task may…