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Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback)
A comprehensive guide to mastering data visualization, psychology, analytics and more.
Book Details
- ISBN: 979-8286983858
- Publication Date: May 12, 2025
- Pages: 381
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of data visualization and psychology, offering practical insights and real-world examples that developers can apply immediately in their projects.
What You'll Learn
- Master the fundamentals of data visualization
- Implement advanced techniques for psychology
- Optimize performance in analytics applications
- Apply best practices from industry experts
- Troubleshoot common issues and pitfalls
Who This Book Is For
This book is perfect for developers with intermediate experience looking to deepen their knowledge of data visualization and psychology. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
After reading this, I finally understand the intricacies of (Paperback). The practical examples helped me implement better solutions in my projects. I’ve already seen fewer bugs and smoother deployments since applying these ideas.
This book made me rethink how I approach data visualization. It’s the kind of book you’ll keep on your desk, not your shelf.
I finally feel equipped to make informed decisions about (Paperback).
This book offers a fresh perspective on psychology.
This is now my go-to reference for all things related to psychology.
I was struggling with until I read this book data visualization. The pacing is perfect—never rushed, never dragging.
I keep coming back to this book whenever I need guidance on Analytics.
This helped me connect the dots I’d been missing in Storytelling.
This resource is indispensable for anyone working in Data:.
This book distilled years of confusion into a clear roadmap for Explaining. I found myself highlighting entire pages—it’s that insightful. It’s helped me mentor junior developers more effectively.
The author's experience really shines through in their treatment of Storytelling. The author anticipates the reader’s questions and answers them seamlessly.
I've read many books on this topic, but this one stands out for its clarity on analytics.
It’s the kind of book that stays relevant no matter how much you know about Visualizing.
This book bridges the gap between theory and practice in Psychology. The troubleshooting tips alone are worth the price of admission.
I’ve bookmarked several chapters for quick reference on analytics.
This book distilled years of confusion into a clear roadmap for Data:. This book gave me a new framework for thinking about system architecture. I’ve bookmarked several sections for quick reference during development.
It’s rare to find something this insightful about storytelling. I appreciated the thoughtful breakdown of common design patterns.
This resource is indispensable for anyone working in Explaining.
This book bridges the gap between theory and practice in Psychology. It’s the kind of book you’ll keep on your desk, not your shelf.
The author has a gift for explaining complex concepts about data visualization.
I was struggling with until I read this book Exploring,.
I've read many books on this topic, but this one stands out for its clarity on communication. The exercises at the end of each chapter helped solidify my understanding.
This book offers a fresh perspective on analytics.
This book completely changed my approach to Exploring,. The pacing is perfect—never rushed, never dragging. The emphasis on scalability was exactly what our growing platform needed.
I've been recommending this to all my colleagues working with Analytics. The author’s passion for the subject is contagious.
It’s rare to find something this insightful about Visualizing.
This is now my go-to reference for all things related to Analytics.
After reading this, I finally understand the intricacies of Explaining.
A must-read for anyone trying to master Exploring,. I particularly appreciated the chapter on best practices and common pitfalls. It helped me refactor legacy code with confidence and clarity.
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