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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

Product type Paperback

Published in Jun 2023

Publisher Packt

ISBN-13 9781803231105

Length 382 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Analysis

Author (1):

Ayodele Oluleye

View More author details

Table of Contents (13) Chapters

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

Why subscribe?

12. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Akaike Information Criterion (AIC) 200

alternative hypothesis 197

astype attribute 44

used, for changing data format 42

Augmented Dickey-Fuller (ADF) test 197

autocorrelation 204

reference link 209

Automated EDA

generating, with AutoViz 330-336

generating, with pandas profiling 316-324

implementing, with custom functions 340-347

performing, with dtale library 325-330

performing, with Sweetviz 336-339

AutoViz

used, for generating Automated EDA 330-336

B

backfill or forward fill 308

Bag of Words (BoW) 250

bar chart 91

two variables, analyzing 110-113

used, for performing univariate analysis 91-94

barplot method

hue argument 114

bivariate data

crosstab/two-way table, creating 104, 105

bivariate outliers 278

identifying...

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Authors (1)

Ayodele Oluleye

Ayodele Oluleye

Ayodele is a data professional with nearly a decade of experience. Throughout his career, he has gained valuable experience in various domains such as strategy, data science and more recently data management. Previously, he served as a consultant at a big 4 consulting firm, where he successfully provided data-driven solutions and insights to clients. Currently, he holds a leadership position at a financial services group where he leads a dynamic data team, driving analytics initiatives to empower the organization. Beyond his professional endeavors, he is passionate about sharing his knowledge and experience. You can find him actively engaging with the data community through insightful articles on LinkedIn and speaking at industry events.

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