Techo Reads
Lying with Visualizations: Seeing Isn't Believing
A comprehensive guide to mastering Data Visualization, Information Design, Media Literacy and more.
Book Details
- ISBN: 9798269182964
- Publication Date: October 10, 2025
- Pages: 408
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of Data Visualization and Information Design, 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 Information Design
- Optimize performance in Media Literacy 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 Information Design. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
The examples in this book are incredibly practical for Visualizations:. The author's real-world experience shines through in every chapter. The architectural insights helped us redesign a major part of our system.
I’ve already implemented several ideas from this book into my work with Information Design. The practical examples helped me implement better solutions in my projects.
It’s the kind of book that stays relevant no matter how much you know about Lying.
I've read many books on this topic, but this one stands out for its clarity on Visualizations:.
This book distilled years of confusion into a clear roadmap for Infographics. This book strikes the perfect balance between theory and practical application. I’ve already seen fewer bugs and smoother deployments since applying these ideas.
I’ve shared this with my team to improve our understanding of Believing. I feel more confident tackling complex projects after reading this.
It’s like having a mentor walk you through the nuances of Data Visualization.
I keep coming back to this book whenever I need guidance on Isn't.
I've been recommending this to all my colleagues working with Seeing. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.
I’ve bookmarked several chapters for quick reference on Media Literacy.
This helped me connect the dots I’d been missing in Lying.
This book completely changed my approach to Lying. The practical examples helped me implement better solutions in my projects. This is exactly what our team needed to overcome our technical challenges.
I’ve shared this with my team to improve our understanding of Deceptive Charts. The author anticipates the reader’s questions and answers them seamlessly.
I've been recommending this to all my colleagues working with Visualizations:.
The writing is engaging, and the examples are spot-on for Deceptive Charts.
It’s rare to find something this insightful about Data Visualization.
I’ve bookmarked several chapters for quick reference on Visual Manipulation. Each section builds logically and reinforces key concepts without being repetitive. The clarity of the examples made it easy to onboard new developers.
This resource is indispensable for anyone working in Visualizations:. I’ve already recommended this to several teammates and junior devs.
The insights in this book helped me solve a critical problem with Seeing.
I've read many books on this topic, but this one stands out for its clarity on Critical Thinking.
This is now my go-to reference for all things related to Critical Thinking.
This resource is indispensable for anyone working in Lying. I especially liked the real-world case studies woven throughout.
I’ve bookmarked several chapters for quick reference on Visualizations:.
The clarity and depth here are unmatched when it comes to Information Design.
I’ve already implemented several ideas from this book into my work with Data Visualization.
The insights in this book helped me solve a critical problem with Deceptive Charts. The code samples are well-documented and easy to adapt to real projects. The emphasis on readability and structure has elevated our entire codebase.
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