Exploratory Data Analysis

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eBay item number:357596609246
Last updated on Oct 10, 2025 22:41:56 SGTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN
9781032939827
Category

About this product

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1032939826
ISBN-13
9781032939827
eBay Product ID (ePID)
21081443513

Product Key Features

Number of Pages
322 Pages
Language
English
Publication Name
Exploratory Data Analysis : Descriptive Analysis, Visualization, and Dashboard Design (with Codes in Python)
Subject
Data Modeling & Design, Data Visualization, Data Processing
Publication Year
2025
Type
Textbook
Subject Area
Computers
Author
Leandro Nunes De Castro
Series
Ak Peters Visualization Ser.
Format
Trade Paperback

Dimensions

Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
College Audience
Dewey Edition
23
Reviews
"With the ever-growing masses of data and their inherent diversity encountered, Professor's Leandro Nunes de Castro book is an excellent and timely contribution to the body of knowledge of Exploratory Data Analysis (EDA). This treatise, written in an authoritative and lucid way, navigates the audience through a systematic process of EDA by starting from data description, progressing through their descriptive analysis, data visualization, and culminating in storytelling design." -- Witold Pedrycz , Professor and Canada Research Chair (CRC), University of Alberta, Canada
Illustrated
Yes
Dewey Decimal
006.312
Table Of Content
Preface. Acknowledgements. About the Author. Chapter 1. An Introduction to Exploratory Data Analysis. Chapter 2. Data Description and Preparation. Chapter 3. Descriptive Analysis. Chapter 4. Principles of Data Visualization. Chapter 5. Data Visualization Methods. Chapter 6. Special Types of Data. Chapter 7. Data Storytelling and Dashboard Design. Appendices.
Synopsis
This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, the book details the various aspects of EDA, from data description and preprocessing, to visualization, storytelling, and dashboard design. We will explore real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed. Whether you are a student just starting out in the field of data science, a senior professional looking to improve your skills, or a curious individual interested in the power of data, this book is for you., The book explores real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed., This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, this book details various aspects of EDA, from data description and preprocessing to visualization, storytelling, and dashboard design. We will explore realworld datasets, uncovering hidden patterns and gaining insights along the way. This book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed. Whether you are a student just starting out in the field of data science, a senior professional looking to improve your skills, or a curious individual interested in the power of data, this book is for you., This book is a comprehensive guide to Exploratory Data Analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, the book details the various aspects of EDA, from data description and preprocessing, to visualization, storytelling, and dashboard design. We will explore real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed. Whether you are a student just starting out in the field of data science, a senior professional looking to improve your skills, or a curious individual interested in the power of data, this book is for you.

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