
Exploratory Data Analysis
Descriptive Analysis, Visualization, and Dashboard Design (with Code Snippets in Python)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Exploratory Data Analysis
Descriptive Analysis, Visualization, and Dashboard Design (with Code Snippets in Python)
About this book
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 real?world 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.
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Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface
- Acknowledgments
- About the Author
- Structure of the Book
- How to Use This Book and Additional Resources
- Notation
- List of Abbreviations
- About the Code Snippets
- How This Book Was Written and the Use of AI-Assisted Tools
- Chapter 1 â—¾ Introduction to Exploratory Data Analysis
- Chapter 2 â—¾ Data Description and Preparation
- Chapter 3 â—¾ Descriptive Analysis
- Chapter 4 â—¾ Principles of Data Visualization
- Chapter 5 â—¾ Data Visualization Methods
- Chapter 6 â—¾ Special Types of Data
- Chapter 7 â—¾ Data Storytelling and Dashboard Design
- Appendix A: Python: A Quick Reference Guide
- Appendix B: Code Snippets for the Gestalt Principles of Chapter 4
- Appendix C: LIWC and Stanford PoS Tagger Categories
- References
- Index