Chapter 7: Data Exploration and Transformation
In the previous chapter, you were introduced to data selection methods in pandas. In this chapter, you will learn more about data transformation in pandas and how to get comfortable with data manipulation to achieve a dataset that is ready for data analysis. By the end of this chapter, you will understand how to deal with messy or missing data and how to summarize it for the purpose of your analysis.
In this chapter, we will cover the following topics:
- Dealing with messy data
- Dealing with missing data
- Summarizing data
- Activity 7.01 – data analysis using pivot tables
Introduction to data transformation
When working with data science, it is important to ensure that your dataset has been cleaned ...
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