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Hands-On Exploratory Data Analysis with Python

You're reading from   Hands-On Exploratory Data Analysis with Python Perform EDA techniques to understand, summarize, and investigate your data

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789537253
Length 352 pages
Edition 1st Edition
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Authors (2):
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Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
Usman Ahmed Usman Ahmed
Author Profile Icon Usman Ahmed
Usman Ahmed
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Fundamentals of EDA
2. Exploratory Data Analysis Fundamentals FREE CHAPTER 3. Visual Aids for EDA 4. EDA with Personal Email 5. Data Transformation 6. Section 2: Descriptive Statistics
7. Descriptive Statistics 8. Grouping Datasets 9. Correlation 10. Time Series Analysis 11. Section 3: Model Development and Evaluation
12. Hypothesis Testing and Regression 13. Model Development and Evaluation 14. EDA on Wine Quality Data Analysis 15. Other Books You May Enjoy Appendix

Technical requirements

The code for this chapter can found inside the GitHub repository shared with this book inside the Chapter 3 folder. This dataset consists of email data taken from my personal Gmail account. Due to privacy issues, the dataset cannot be shared with you. However, in this chapter, we will guide you on how you can download your own emails from Gmail to perform initial data analysis.

Here are the steps to follow:

  1. Log in to your personal Gmail account.
  2. Go to the following link: https://takeout.google.com/settings/takeout.
  3. Deselect all the items but Gmail, as shown in the following screenshot:
  1. Select the archive format, as shown in the following screenshot:

Note that I selected Send download link by email, One-time archive, .zip, and the maximum allowed size. You can customize the format. Once done, hit Create archive.

You will get an email archive that...

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