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 of all the data processing techniques you learned in this book by applying them to four case studies.
This chapter covers the following topics:
- Introduction to the case studies and datasets
- Recap of the preprocessing steps...
