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Julia for Data Science by Zacharias Voulgaris PhD

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CHAPTER 6: Julia the Data Engineer

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As we discussed in the previous chapter, data engineering encompasses the first parts of the data science pipeline, focusing on preprocessing (preparing) your data and generating features. Data engineering brings out the most information-rich aspects of your data and prepares them for further analysis. This maximizes your chances of getting some useful insights out of your process. Data engineering is extremely useful for complex or noisy data, since such data cannot be used as-is in the data analysis processes that ensue.

When engineering data, we explore datasets and develop visuals from its variables. We ...

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