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Exploratory Data Analysis with Python Cookbook

You're reading from   Exploratory Data Analysis with Python Cookbook Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803231105
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Ayodele Oluleye Ayodele Oluleye
Author Profile Icon Ayodele Oluleye
Ayodele Oluleye
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Generating Summary Statistics 2. Chapter 2: Preparing Data for EDA FREE CHAPTER 3. Chapter 3: Visualizing Data in Python 4. Chapter 4: Performing Univariate Analysis in Python 5. Chapter 5: Performing Bivariate Analysis in Python 6. Chapter 6: Performing Multivariate Analysis in Python 7. Chapter 7: Analyzing Time Series Data in Python 8. Chapter 8: Analysing Text Data in Python 9. Chapter 9: Dealing with Outliers and Missing Values 10. Chapter 10: Performing Automated Exploratory Data Analysis in Python 11. Index 12. Other Books You May Enjoy

Analyzing two variables using a scatter plot

A scatter plot clearly represents the relationship between two numerical variables. The numerical variables are plotted on the x and y axes, and the values plotted typically reveal a pattern. This pattern on a scatter plot can provide insights into the strength and direction of the relationship between the two variables. This could either be positive (i.e., as one variable increases, the other variable increases) or negative (i.e., as one variable increases, the other variable decreases). Figure 5.1 demonstrates this further:

Figure 5.1: An illustration of a scatterplot

Figure 5.1: An illustration of a scatterplot

In this recipe, we will explore how to create scatter plots in seaborn. The scatterplot method in seaborn can be used for this.

Getting ready

We will work with only one dataset in this chapter: The Palmer Archipelago (Antarctica) penguin data from Kaggle.

Create a folder for this chapter and create a new Python script or Jupyter Notebook...

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