Data analysis is a huge project, sometimes too abstract and dependent on experience. This article is a summary of the author's analysis of learning and practicing data science. I hope to provide a general data analysis idea, and introduce relevant analysis algorithms and their application scenarios in each step of the analysis. For the algorithm, only the shallow level is used.
This article is intended for readers who are new to data analysis or who don't know how to start with a bunch of data. At the same time, the analysis ideas introduced in this paper have certain limitations due to the author's experience and knowledge. I hope readers can make a reasonable reference in the analysis.
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