The world of data visualization is moving fast, and Blender is surprisingly well-positioned to be a creative part of that future. While it started as a 3D modeling and animation tool, it's becoming increasingly capable as a playground for experimentation - especially when combined with scripting, open formats, and external data sources. Have you ever looked at a spreadsheet or API response and wished you could step inside the data? This book teaches you how. A hands-on guide that helps you bring charts, plots, and datasets into rich 3D scenes-leveraging the full power of Blender's rendering, scripting, animation, and interactive capabilities. Whether you're a data analyst, scientist, developer, designer, or just a curious Blender user, this book walks you step-by-step through visual storytelling with real data. You'll learn how to build visualizations like: 3D bar charts, scatter plots, and heatmapsVolumetric fields and animated slicesData-driven camera paths, labels, and materialsInteractive dashboards and live-data pipelinesScenes for web, VR/AR, and cinematic rendering You'll go beyond what typical 2D tools can do-building immersive, expressive visuals that are animated, interactive, and spatially aware. No prior experience with Blender scripting is required: everything is explained clearly, and each chapter builds your skills gradually with friendly, annotated Python code. Unlock new creative possibilities You'll discover how to: Use Python to generate geometry and shaders from dataDesign for clarity, scale, and aesthetics in 3DAutomate animations and transitions between datasetsExtend Blender with custom UI panels and add-onsExport your scenes to Unity, Unreal, or the web Whether you're visualizing climate trends, business KPIs, urban data, or abstract generative patterns, this book empowers you to make your data not only understood-but felt, explored, and remembered.
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