Chapter 6
Learning the Hidden Secrets of Data Wrangling
Learning Objectives
By the end of this chapter, you will be able to:
- Clean and handle real-life messy data
- Prepare data for data analysis by formatting data in the format required by downstream systems
- Identify and remove outliers from data
In this chapter, you will learn about data issues that happen in real-life. You will also learn how to solve these issues.
Introduction
In this chapter, we will learn about the secret sauce behind creating a successful data wrangling pipeline. In the previous chapters, we were introduced to the basic data structures and building blocks of Data Wrangling, such as pandas and NumPy. In this chapter, we will look at the data handling section of data ...
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