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Data Visualization with D3 4.x Cookbook - Second Edition | D3.js in Action: Data visualization with JavaScript | Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | Understanding Ecmascript 6 | Data Visualization With Python and Javascript | Interactive Data Visualization for the Web | The Principles of Object-Oriented Javascript
You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web?
In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time.
Then you'll move on to more advanced topics, including how to:
- Create tree maps, heat maps, network graphs, word clouds, and timelines
- Map geographic data, and build sparklines and composite charts
- Add interactivity and retrieve data with AJAX
- Manage data in the browser and build data-driven web applications
- Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries
If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations.
This edition also contains The Circulatory System: The Skin and the Cutaneous Organs of the Domesic Animals
About: You've got data to communicate.
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