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OLS Field Name OLS Field Data
Main Title Data visualization with Python and JavaScript : scrape, clean, explore & transform your data /
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)
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA76.9.I52D35 2016 Research Triangle Park Library/RTP, NC 12/26/2018 STATUS
Edition First edition.
Collation xxxiii, 553 pages : color illustrations, color maps ; 23 cm
Notes
Includes bibliographical references and index.
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.