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Learning pandas - Second Edition by Michael Heydt

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A note on being iterative and agile

Something very important to understand about data manipulation, analysis, and science is that it is an iterative process. Although there is a natural forward flow along the stages previously discussed, you will end up going forwards and backwards in the process. For instance, while in the exploration phase you may identify anomalies in the data that relate to data purity issues from the preparation stage, and need to go back and rectify those issues.

This is part of the fun of the process. You are on an adventure to solve your initial problem, all the while gaining incremental insights about the data you are working with. These insights may lead you to ask new questions, to more exact questions, or to a ...

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