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Essential PySpark for Scalable Data Analytics

You're reading from   Essential PySpark for Scalable Data Analytics A beginner's guide to harnessing the power and ease of PySpark 3

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800568877
Length 322 pages
Edition 1st Edition
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Author (1):
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Sreeram Nudurupati Sreeram Nudurupati
Author Profile Icon Sreeram Nudurupati
Sreeram Nudurupati
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Data Engineering
2. Chapter 1: Distributed Computing Primer FREE CHAPTER 3. Chapter 2: Data Ingestion 4. Chapter 3: Data Cleansing and Integration 5. Chapter 4: Real-Time Data Analytics 6. Section 2: Data Science
7. Chapter 5: Scalable Machine Learning with PySpark 8. Chapter 6: Feature Engineering – Extraction, Transformation, and Selection 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Unsupervised Machine Learning 11. Chapter 9: Machine Learning Life Cycle Management 12. Chapter 10: Scaling Out Single-Node Machine Learning Using PySpark 13. Section 3: Data Analysis
14. Chapter 11: Data Visualization with PySpark 15. Chapter 12: Spark SQL Primer 16. Chapter 13: Integrating External Tools with Spark SQL 17. Chapter 14: The Data Lakehouse 18. Other Books You May Enjoy

Chapter 11: Data Visualization with PySpark

So far, from Chapter 1, Distributed Computing Primer, through Chapter 9, Machine Learning Life Cycle Management, you have learned how to ingest, integrate, and cleanse data, as well as how to make data conducive for analytics. You have also learned how to make use of clean data for practical business applications using data science and machine learning. This chapter will introduce you to the basics of deriving meaning out of data using data visualizations.

In this chapter, we're going to cover the following main topics:

  • Importance of data visualization
  • Techniques for visualizing data using PySpark
  • Considerations for PySpark to pandas conversion

Data visualization is the process of graphically representing data using visual elements such as charts, graphs, and maps. Data visualization helps you understand patterns within data in a visual manner. In the big data world, with massive amounts of data, it is even...

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