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JavaScript and jQuery for Data Analysis and Visualization, 原版 PDF [推广有奖]

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cmwei333 发表于 2016-10-30 07:07:11 |AI写论文

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JavaScript and jQuery for Data Analysis and Visualization

Jon Raasch, Graham Murray, Vadim Ogievetsky, Joseph Lowery

cover.jpg

Go beyond design concepts—build dynamic data visualizations using JavaScript

JavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic, best-of-breed visualizations using JavaScript—the most popular language for web programming.

The authors show data analysts, developers, and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization.

All of the key techniques and tools are explained in this full-color, step-by-step guide. The companion website includes all sample codes used to generate the visualizations in the book, data sets, and links to the libraries and other resources covered.

• Go beyond basic design concepts and get a firm grasp of visualization approaches and techniques using JavaScript and jQuery
• Discover detailed, step-by-step directions for building specific types of data visualizations in this full-color guide
• Learn more about the core JavaScript and jQuery libraries that enable analysis and visualization
• Find compelling stories in complex data, and create amazing visualizations cost-effectively

Let JavaScript and jQuery for Data Analysis and Visualization be the resource that guides you through the myriad strategies and solutions for combining analysis and visualization with stunning results.

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20115326(真实交易用户) 学生认证  发表于 2016-10-30 09:52:33
学习一下,哈哈

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leon_9930754(未真实交易用户) 发表于 2016-10-30 16:46:35
谢谢分享

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Amour小颜颜(真实交易用户) 发表于 2022-4-5 00:11:19 来自手机
cmwei333 发表于 2016-10-30 07:07
JavaScript and jQuery for Data Analysis and Visualization

Jon Raasch, Graham Murray, Vadim Ogieve ...
感谢

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