September 2024
Beginner to intermediate
456 pages
11h 53m
English
Content preview from Python Data Cleaning and Preparation Best Practices
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5
Data Transformation – Merging and Concatenating
Understanding how to transform and manipulate data is crucial for unlocking valuable insights. Techniques such as joining, merging, and appending allow us to blend information from various sources and organize and analyze subsets of data. In this chapter, we’ll learn how to merge multiple datasets into a single dataset and explore the various techniques that we can use. We’ll understand how to avoid duplicate values while merging datasets and some tricks to improve the process of merging datasets.
In this chapter, we’ll cover the following topics:
- Joining datasets
- Handling duplicates when merging datasets
- Performance tricks for merging
- Concatenating DataFrames
Technical requirements
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