Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
Skip header Section
Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your DataJuly 2016
Publisher:
  • O'Reilly Media, Inc.
ISBN:978-1-4919-2051-0
Published:22 July 2016
Pages:
592
Skip Bibliometrics Section
Reflects downloads up to 25 Jan 2025Bibliometrics
Skip Abstract Section
Abstract

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 D3for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale walks you through transforming Wikipedias table-based list of Nobel Prize winners into an interactive visualization. Youll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScripts D3 library. If youre ready to create your own web-based data visualizationsand know either Python or JavaScript this is the book for you. Learn how to manipulate data with Python Understand the commonalities between Python and JavaScript Extract information from websites by using Pythons web-scraping tools, BeautifulSoup and Scrapy Clean and explore data with Pythons Pandas, Matplotlib, and Numpy librariesServe data and create REST ful web APIs with Pythons Flask framework Create engaging, interactive web visualizations with JavaScripts D3 library

Contributors
  • University of Sussex

Recommendations