Exploratory Data Analysis
Descriptive Analysis, Visualization, and Dashboard Design (with Codes in Python)
Series: AK Peters Visualization Series;
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Product details:
- Edition number 1
- Publisher A K Peters
- Date of Publication 29 August 2025
- ISBN 9781032944302
- Binding Hardback
- No. of pages264 pages
- Size 254x178 mm
- Language English
- Illustrations 9 Illustrations, black & white; 82 Illustrations, color; 5 Halftones, color; 9 Line drawings, black & white; 77 Line drawings, color; 30 Tables, black & white 700
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Short description:
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.
MoreLong description:
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.
"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
MoreTable of Contents:
Preface. Acknowledgements. About the author. Structure Of The Book. How To Use This Book And Additional Resources Notation, Abbreviations, And Codes. How This Book Was Written And The Use Of Ai-Assisted Tools. Summary. 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
