Lynda.com.D3.js.Essential.Training.for.Data.Scientists-ELOHiM

Section
Appz
Group
ELOHiM
Size
688,67 MB
Files
17
Date
2016-11-01

NFO


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     RELEASE NAME....: Lynda.com.D3.js.Essential.Training.for.Data.Scientists-ELOHiM
     RELEASE DATE....: 2016-11-01
     RELEASE SIZE....: 15x50Mb
     FORMAT..........: Bookware
     LANGUAGE........: English
     URL.............: http://www.lynda.com

     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 JavaScriptΓÇösome 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.
     
     Topics include:
     * 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
     
     Subjects: Business Intelligence, Big Data, Cloud Computing, IT, D3.js
     Author: Emma Saunders
     Level: Intermediate
     Duration: 4h 38m
     Released: 10/28/2016

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