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    3. Lynda - D3.js Essential Training for Data Scientists

    Lynda - D3.js Essential Training for Data Scientists

    Posted By: U.N.Owen
    Date: 28 Oct 2016 18:07:39
    Lynda - D3.js Essential Training for Data Scientists

    Lynda - D3.js Essential Training for Data Scientists
    Size: 753 MB | Duration: 4h 39m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
    Genre: eLearning | Level: Intermediate | Language: English

    Take your visualizations beyond boring charts. D3. js enables you to create spatial maps, tree diagrams, stack charts, and more, all with a web browser and a few lines of code. There's something for everyone in data science: statisticians, scientists, mathematicians, and analysts. D3. js Essential Training for Data Scientists unlocks the keys to this versatile approach. Follow along with data consultant Emma Saunders as she shows how to build beautiful and interactive data visualizations with D3. Start off with a review of HTML, CSS, and JavaScript—some basic coding skills you need to use the D3 library. Then learn how to make a simple bar chart and create basic shapes and text. Emma also introduces the path function and the power of generators for drawing more complex shapes. Then find out how to pull in JSON, XML, and CSV files to create more complex graphics such as tree and Voronoi diagrams, and manipulate your data for advanced graphics using map, stack, and nest functions. The course wraps up with tips for adding interactivity and picking the right graphic for your data.

    * Reviewing HTML, CSS, and JavaScript basics
    * Making a simple bar chart with D3
    * Understanding SVG graphics
    * Drawing basic shapes
    * Adding text
    * Using generators and the path element
    * Creating a scale and axes
    * Importing data into D3
    * Creating trees and Voronoi tessellations
    * Preparing your data for advanced graphics
    * Adding interactivity and transitions
    * Choosing the right graphic
    * Finding D3.js plugins


    Lynda - D3.js Essential Training for Data Scientists

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