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I**D
A Visual Feast for Data Storytelling
Kolokolov and Zelensky's "Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards" is a must-read for anyone looking to unlock the storytelling power of data. This book provides a comprehensive overview of chart types, from the familiar line chart to the more intricate chord diagram. But what sets it apart is its insightful guidance on chart selection, ensuring you always choose the most effective visual for your message.The authors excel at demonstrating best practices through real-world examples. By showcasing both effective and ineffective visualizations side-by-side, they provide clear visual cues that highlight common pitfalls and inspire design choices. For instance, I learned why tornado charts are a poor choice for comparing projected vs. actual values - a valuable lesson!Beyond individual charts, the book delves into dashboard design, offering practical advice on element positioning and configuration within Power BI. This makes it an invaluable resource for data analysts and business professionals in finance, sales, and marketing, especially those without coding experience.While the book boasts a companion GitHub repository with sample data, I found the link format somewhat cumbersome. Instead of direct links to file names, the authors use shortened URLs that are case-sensitive and redirect to the repository. Direct GitHub links would improve accessibility.The book's structure, with three sections of increasing chart complexity and challenging quizzes, reinforces learning and encourages deeper understanding.Overall: This book is a fantastic guide to data visualization with Power BI. Its clear explanations, practical examples, and focus on effective design make it a valuable asset for anyone seeking to transform data into compelling visual narratives.
L**B
Now I feel myself data savvy!
OMG! It truly seems that this book was written not by another technical nerd, but by a person who has real business experience!As for me, I always struggled when technical persons trained me and my team how to work with corporate reporting platform. I felt myself stupid trying to understand WHY they tell me about data models and other stuff, but never about dashboard design and user experience...This book have met and even exceeded my expectations! It's written from manager's perspective. I don't want to become data scientist, I want to quickly build interactive reports.Thanks to clear step-by-step guides I have built sales dashboard using recommended layout and charts. My team was excited and IT colleagues were envious :) They assume I know secret magic of reporting.So I highly recommend this book, even if you found yourself stupid trying to understand BI tool like Power BI or Tableau. Start from this book and it really may change your career!
R**N
O’Reilly Bi Series
O’Reilly book series are very well written.
T**T
A must read for data story tellers
Exceeded my expectations and here is why. I got a paper copy - 400 pages of colorful chart examples and guides on how to work with Power BI. I skipped basic barcharts and started from the middle: waterfall, gantt and bullet charts. These chapters are well-structured and easy to follow. The author does an excellent job of balancing theory with practical examples, which made learning the concepts engaging and hands-on. I found myself constantly referring back to it during my projects, and I’ve already noticed a significant improvement in how I present data. If you're looking to deepen your understanding of visual storytelling through data, this book is a must-read.
K**L
well-designed
This book covers a ton of ground and is packed with examples, which makes it super helpful if you're using Power BI a lot. The visuals are well chosen, and I liked that they didn't just show how to make them, but also why to use each one. Some of the chapters felt a bit heavy, though—I had to reread parts to let it sink in. Still, for someone serious about improving their dashboards, it’s a solid ressource.
M**N
Clear and Practical
This book is a fantastic resource for anyone looking to get serious about Power BI. Whether you're new to data visualization or have experience but want to sharpen your dashboard design skills, this guide delivers. The explanations are clear, the visuals are strong, and the step-by-step guidance makes it easy to follow along.What really sets it apart is the focus on design thinking—not just building charts, but crafting dashboards that actually communicate data in smart, effective ways. Highly recommended for analysts, business owners, or anyone working with data who wants to level up.
C**K
Visualization with Microsoft Power BI
Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards is an insightful and practical guide that empowers users to transform raw data into compelling, actionable visuals. The book breaks down complex concepts into digestible explanations, making it accessible for beginners while offering valuable tips and tricks for seasoned professionals. From crafting intuitive dashboards to leveraging advanced visualizations, the author provides real-world examples and step-by-step instructions that enhance both efficiency and impact. With a focus on design best practices and user engagement, this book equips readers to create stunning, interactive reports that drive informed decision-making. A must-read for anyone looking to harness the full potential of Power BI!
T**N
a practical guide for data analysts and other professionals.
This book serves as a practical guide for data analysts and professionals in finance, sales, and marketing to create effective visualizations and dashboards. It systematically covers classic, trusted advanced, and even "risky" advanced visuals, offering step-by-step guides and emphasizing the fundamental principles of data visualization and chart anatomy within Power BI. Readers, regardless of their technical background, can learn to make conscious choices in data presentation, moving from basic interface understanding to sophisticated dashboard design.
Trustpilot
2 months ago
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