Record Display for the EPA National Library Catalog
RECORD NUMBER: 2 OF 9| Main Title | Data visualization with Python and JavaScript : scrape, clean, explore & transform your data / | ||||||||||||
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| Author | Dale, Kyran, | ||||||||||||
| Publisher | O'Reilly & Associates, Inc., | ||||||||||||
| Year Published | 2016 | ||||||||||||
| OCLC Number | 919482330 | ||||||||||||
| ISBN | 9781491920510; 1491920513 | ||||||||||||
| Subjects | Information visualization ; Python (Computer program language) ; JavaScript (Computer program language) | ||||||||||||
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| Edition | First edition. | ||||||||||||
| Collation | xxxiii, 553 pages : color illustrations, color maps ; 23 cm | ||||||||||||
| Notes | Includes bibliographical references and index. |
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| Contents Notes | Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale walks you through transforming Wikipedia's table-based list of Nobel Prize winners into an interactive visualization. You'll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript's D3 library. If you're ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you. -- Provided by publisher. |