Quiz: Null Values
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Section 3. Chapter 10
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In this section, we'll explore the fundamentals of Series and DataFrame structures. You'll also learn about the distinctions between these two types of structures.
Data can be sourced in various formats, such as CSV, JSON, SQL, HTML, and more. With Pandas, you're not limited to a single format — you can work with data across a multitude of file types. In this chapter, we'll specifically focus on the CSV and TXT formats.
Here, you'll learn how to process raw data by removing extraneous information and managing null values in a dataset.