Data visualization with Python and scrape, clean, explore & transform your data

Python and Javascript are the perfect complement for turning data into rich, interactive web visualizations, in a world that increasingly expects more than a pre-rendered, static image. Developers need to know how to turn raw, unprocessed data, often "dirty" or malformed, into dynamic, interactive web visualizations. Author Kyran Dale teaches you how to leverage the power of best-of-breed Python and Javascript libraries to do so, using engaging examples and stressing hard-earned best-practice. You’ll learn how to: * Get data programmatically, using scraping tools or web APIs * Clean and process data using Python’s heavyweight data-processing libraries * Deliver data to a browser using a lightweight Python server (Flask) * Receive data and use it to create a web visualization, using D3, Canvas, or WebGL 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 In a world that increasingly expects more than pre-rendered, static images, Python and javascript are the perfect complement for turning data into rich, interactive visualizations. Developers need to know how to turn raw, unprocessed data—often «dirty» or malformed—into dynamic web visualizations. Author Kyran Dale teaches you how to leverage the power of best-of-breed Python and javascript libraries to do so, using engaging examples and stressing hard-earned best-practices. Youll learn how to: Get data programmatically, using scraping tools or web APIs Clean and process data using Pythons heavyweight data-processing libraries Deliver data to a browser using a lightweight Python server (Flask) Receive data and use it to create a web visualization, using D3, Canvas, or WebGL