Techniques and practices relating to data preparation.

Data preparation – is there a process to follow?

A possible process Data preparation preprocesses data for analysis. There is no widely accepted data preparation process. Furthermore, where processes are discussed, this is often in rather an abstract way…

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Data Preparation – what does it involve?

Data preparation is not new. However, although data preparation platforms differ in how data preparation activities are specified, there tends to be fairly broad agreement as to what steps are required. The following…

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Data preparation – why it is costly?

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…

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Data preparation – why is it a big deal?

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…

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Data preparation – what is it?

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…

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