4
Cleaning Messy Data and Data Manipulation
In this chapter, we’ll dive into the strategies of data manipulation, focusing on efficient techniques to clean and fix messy datasets. We’ll remove irrelevant columns, systematically address inconsistent data types, and fix dates and times.
In this chapter, we’ll cover the following topics:
- Renaming columns
- Removing irrelevant or redundant columns
- Fixing data types
- Working with dates and times
Technical requirements
You can find all the code for this chapter in the following GitHub link: https://github.com/PacktPublishing/Python-Data-Cleaning-and-Preparation-Best-Practices/tree/main/chapter04.
Each file is named according to the respective sections covered in this chapter.
Renaming columns
Renaming ...
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