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The Pandas Workshop

You're reading from   The Pandas Workshop A comprehensive guide to using Python for data analysis with real-world case studies

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781800208933
Length 744 pages
Edition 1st Edition
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Authors (4):
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Blaine Bateman Blaine Bateman
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Blaine Bateman
William So William So
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William So
Saikat Basak Saikat Basak
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Saikat Basak
Thomas Joseph Thomas Joseph
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Thomas Joseph
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1 – Introduction to pandas
2. Chapter 1: Introduction to pandas FREE CHAPTER 3. Chapter 2: Working with Data Structures 4. Chapter 3: Data I/O 5. Chapter 4: Pandas Data Types 6. Part 2 – Working with Data
7. Chapter 5: Data Selection – DataFrames 8. Chapter 6: Data Selection – Series 9. Chapter 7: Data Exploration and Transformation 10. Chapter 8: Understanding Data Visualization 11. Part 3 – Data Modeling
12. Chapter 9: Data Modeling – Preprocessing 13. Chapter 10: Data Modeling – Modeling Basics 14. Chapter 11: Data Modeling – Regression Modeling 15. Part 4 – Additional Use Cases for pandas
16. Chapter 12: Using Time in pandas 17. Chapter 13: Exploring Time Series 18. Chapter 14: Applying pandas Data Processing for Case Studies 19. Chapter 15: Appendix 20. Other Books You May Enjoy

Chapter 8: Understanding Data Visualization

In the previous chapter, you were introduced to data transformation methods in pandas. In this chapter, you will learn more about data visualization in pandas and use different types of charts such as line, bar, pie, scatter, and box to perform exploratory data analysis. In this chapter, we shall also touch upon different ways you can plot these charts using the plot() function by pandas and matplotlib. We will learn the differences between these two methods and learn which one to use, depending on the desired outcome. The plots that we are going to learn about in this chapter will help us analyze our data to find out useful insights, such as the distribution of certain features over the population using histograms and finding outliers using boxplots. By the end of this chapter, you will know how to select the best chart type for your data, build it, and customize it for the purpose of your analysis.

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