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

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781789537253

Length 352 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Authors (2):

Suresh Kumar Mukhiya

Usman Ahmed

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Table of Contents (17) Chapters

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

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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:

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

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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Authors (2)

Kumar Mukhiya

Suresh Kumar Mukhiya is a PhD candidate, currently affiliated to the Western Norway University of Applied Sciences (HVL). He is a big data enthusiast, specializing in Information Systems, Model-Driven Software Engineering, Big Data Analysis, Artificial Intelligence and Frontend development. He has completed a Masters in Information Systems from the Norwegian University of Science and Technology (NTNU, Norway) along with a thesis in processing mining. He also holds a bachelor's degree in computer science and information technology (BSc.CSIT) from Tribhuvan University, Nepal, where he was decorated with the Vice-Chancellor's Award for obtaining the highest score. He is a passionate photographer and a resilient traveler.

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Ahmed

Asad Jibran Ahmed is an experienced programmer who has worked mostly with Django-based web applications for the past 5 years. Based in Dubai, UAE, he has worked with some of the biggest web properties in the region, including Dubizzle, the number one classifieds platform in UAE; Nabbesh, one of the top freelancing platforms in the MENA region; and Just Property, a hot and rising name in the property portal space of the region. His experience with such big names has given him a keen insight into how to design performant, stable, and user friendly web applications, all the while using programming practices that make sure that the code base is maintainable for years.

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