Chapter 14: Applying pandas Data Processing for Case Studies
So far in this book, we have progressively learned different data processing techniques using pandas, such as working with different types of data structures, accessing data from multiple sources, data cleaning, data transformation, visualization, code optimization, and finally, data modeling. This chapter aims to harness all these techniques you have learned so far, in analyzing four different case studies. The different case studies you will work through in this chapter will expose you to the different ways data needs to be preprocessed to be workable and help you see how good preparation is the key to good analysis. By the end of this chapter, you will have reinforced your understanding ...
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