Chapter 9
Application of Data Wrangling in Real Life
Learning Objectives
By the end of this chapter, you will be able to:
- Perform data wrangling on multiple full-fledged datasets from renowned sources
- Create a unified dataset that can be passed on to a data science team for machine learning and predictive analytics
- Relate data wrangling to version control, containerization, cloud services for data analytics, and big data technologies such as Apache Spark and Hadoop
In this chapter, you will apply your gathered knowledge on real-life datasets and investigate various aspects of it.
Introduction
We learned about databases in the previous chapter, so now it is time to combine the knowledge of data wrangling and Python with a real-world scenario. ...
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