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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

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Python Data Cleaning Cookbook

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ISBN: 978-1-80056-566-1

  • Find out how to read and analyze data from a variety of sources
  • Produce summaries of the attributes of data frames, columns, and rows
  • Filter data and select columns of interest that satisfy given criteria
  • Address messy data issues, including working with dates and missing values
  • Improve your productivity in Python pandas by using method chaining
  • Use visualizations to gain additional insights and identify potential data issues
  • Enhance your ability to learn what is going on in your data
  • Build user-defined functions and classes to automate data cleaning

Hands-On Data Preprocessing in Python

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ISBN: 978-1-80107-213-7

  • Use Python to perform analytics functions on your data...
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