January 2022
Beginner to intermediate
602 pages
13h 51m
English
Content preview from Hands-On Data Preprocessing in Python
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Chapter 17: Case Study 3: United States Counties Clustering Analysis
This chapter is going to provide another excellent learning opportunity to showcase the process of data preprocessing for high-stakes clustering analysis. We will practice all the four major steps of data preprocessing in this chapter—namely, data integration, data reduction, data transformation, and data cleaning. In a nutshell, in this part of the book, we are going to form meaningful groups of United States (US) counties based on different sources of information and data. By the end of this chapter, we are going to have a much better understanding of the different types of counties that are in the US.
In this chapter, we're going to extract information from this case study ...
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