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The Golden Age of Data Visualization: How Did We Get Here?
by Kimbal Marriott
《读图的黄金时代：及人类是如何走到这一步的》
我们正生活在数据可视化的黄金时代。COVID-19 大流行表明，我们越来越多地使用数据可视化来认识世界。商业分析师用图表来充实他们的演示文稿，记者用信息图表来吸引他们的读者，我们依赖家用电器上的刻度盘和仪表，我们用智能手机上的地图应用程序来寻找我们的方向。本书解释了这一切是如何发生的，以及发生的原因。书中详细介绍了信息图形的演变过程，即作为数据可视化核心的各种图形--地图、图表、科学和医学图像--从史前到今天的演变过程。它解释了文化背景、制作和展示技术以及数据可用性如何塑造了数据可视化的历史。
书中探讨了数据可视化如此有效的感知和认知原因，并探索了鲜为人知的触觉图形世界——盲人使用的凸线绘图。本书还探讨了可视化塑造现代世界的方式。欧洲文艺复兴和科学革命依赖于地图、技术和科学图纸，图形影响着我们对时间和社会联系等抽象概念的思考。Tableau是最早的商用可视化分析工具之一。Tableau于2003年5月发布，允许商业和政府分析师通过拖放数据来创建几乎无穷无尽的可视化效果。他们可以毫不费力地创建标准的可视化图表，比如人字形地图和条形图，或者制作自己的自定义图表。最终的可视化效果是交互式的。本书面向数据可视化研究人员和专业人士，以及任何对数据可视化和我们使用图形来理解和思考世界的方式感兴趣的人。
We are living in the Golden Age of Data Visualization. The COVID-19 pandemic has demonstrated how we increasingly use data visualizations to make sense of the world. Business analysts fill their presentations with charts, journalists use infographics to engage their readers, we rely on the dials and gauges on our household appliances, and we use mapping apps on our smartphones to find our way. This book explains how and why this has happened. It details the evolution of information graphics, the kinds of graphics at the core of data visualization-maps, diagrams, charts, scientific and medical images-from prehistory to the present day. It explains how the cultural context, production and presentation technologies, and data availability have shaped the history of data visualization. It considers the perceptual and cognitive reasons why data visualization is so effective and explores the little-known world of tactile graphics-raised-line drawings used by people who are blind. The book also investigates the way visualization has shaped our modern world. The European Renaissance and the Scientific Revolution relied on maps and technical and scientific drawings, and graphics influence how we think about abstract concepts like time and social connection. Tableau was one of the first commercially available visual analytics tools. Released in May 2003, Tableau allowed business and government analysts to create an almost endless variety of visualizations by dragging and dropping data fields onto the tool’s main panel. They could effortlessly create standard visualizations like choropleth maps and bar charts or craft their own custom chart. The resulting visualizations were interactive. This book is written for data visualization researchers and professionals and anyone interested in data visualization and the way we use graphics to understand and think about the world.
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